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Abstract Background Loss to follow-up (LFTU) among HIV patients remains a major obstacle to achieving treatment goals with the risk of failure to achieve viral suppression and thereby increased HIV transmission. Although use of clinical decision support systems (CDSS) has been shown to improve adherence to HIV clinical guidance, to our knowledge, this is among the first studies conducted to show its effect on LTFU in low-resource settings. Methods We analyzed data from a cluster randomized controlled trial in adults and children (aged ≥ 18 months) who were receiving antiretroviral therapy at 20 HIV clinics in western Kenya between Sept 1, 2012 and Jan 31, 2014. Participating clinics were randomly assigned, via block randomization. Clinics in the control arm had electronic health records (EHR) only while the intervention arm had an EHR with CDSS. The study objectives were to assess the effects of a CDSS, implemented as alerts on an EHR system, on: (1) the proportion of patients that were LTFU, (2) LTFU patients traced and successfully linked back to treatment, and (3) time from enrollment on the study to documentation of LTFU. Results Among 5901 eligible patients receiving ART, 40.6% (n = 2396) were LTFU during the study period. CDSS was associated with lower LTFU among the patients (Adjusted Odds Ratio—aOR 0.70 (95% CI 0.65–0.77)). The proportions of patients linked back to treatment were 25.8% (95% CI 21.5–25.0) and 30.6% (95% CI 27.9–33.4)) in EHR only and EHR with CDSS sites respectively. CDSS was marginally associated with reduced time from enrollment on the study to first documentation of LTFU (adjusted Hazard Ratio—aHR 0.85 (95% CI 0.78–0.92)). Conclusion A CDSS can potentially improve quality of care through reduction and early detection of defaulting and LTFU among HIV patients and their re-engagement in care in a resource-limited country. Future research is needed on how CDSS can best be combined with other interventions to reduce LTFU. Trial registration NCT01634802. Registered at www.clinicaltrials.gov on 12-Jul-2012. Registered prospectively.

ObjectivePulmonary aspergillosis is a rare but challenging pulmonary disease. The conditions of patients with chronic pulmonary aspergillosis (CPA) can be even more complicated. The mortality rate of CPA remains high, and the prognostic factors are not well established due to a high proportion of loss to follow-up. In this study, we aim to explore factors associated with loss to follow-up in CPA patients and their impact on the disease prognosis after withdrawing anti-fungal treatments.MethodsPatients with confirmed CPA, who were admitted to the Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University from March 2017 to November 2019, were enrolled in this prospective study. The enrolled patients were followed up for 6 months after discharge. For loss to follow-up patients, the reasons for loss to follow-up and their prognosis after withdrawing anti-fungal treatments during loss to follow-up were recorded by telephone communication. Multivariate logistic regression analysis was performed to determine factors associated with loss to follow-up.ResultsThe 199 out of 298 screened patients were included in the study. Except for 67 cases with regular follow-up, the rest 132 cases were lost to follow-up. Factors, including age > 60 years (OR = 2.036, P = 0.03), monthly income ≤ $583 (OR = 5.568, P = 0.0001), education ≤ 6 years (OR = 7.474, P = 0.0001), and non-local residence (OR = 5.893, P = 0.0001) were associated with the loss to follow-up according to multivariate logistic regression analysis. The most common reasons for loss to follow-up were economic factors and clinic visit distance. The overall case fatality rate (CFR) within 180 days in patients with regular follow-up and patients who stopped anti-fungal treatment during the loss to follow-up was 0% and 19.65%, respectively.ConclusionThe proportion of loss to follow-up in CPA patients remained high. Age (>60 years), poor financial status, low education, and non-local residence were the key factors associated with the loss to follow-up in this study. Our study reveals the need to optimize the follow-up procedures and improve the patients understanding about the benefits and limitations of follow-up to reduce the CFR.

The PREDICT TB trial tests noninferiority of an abbreviated treatment regimen (arm A) vs a conventional treatment regimen (arm C). Treatment trials of drug‐susceptible tuberculosis are expected to have low event rates (ie, relapse probabilities around 3‐5%). We examine the question of what is the "best" way to test for noninferiority in a setting with low event rates. In a series of simulations supported by theoretical arguments, we examine operating characteristics of five tests, including normal approximation, exact, and simulation‐based tests. Two of these tests are constructed from Kaplan–Meier based‐estimators, which account for variable follow‐up time (and those lost to follow‐up). We evaluate the effect of loss to follow‐up via simulations. We also examine the results of the five tests on a data set similar to PREDICT TB, the REMoxTB trial. We find that the normal approximation tests perform well, albeit with small type I error rate inflation. We also find that the Kaplan–Meier methods generally have larger power than the other tests, especially when there is between 10‐30% loss to follow‐up. [ABSTRACT FROM AUTHOR]

Supplemental Digital Content is Available in the Text. Background: Linkage studies have reported high rates of previously unascertained mortality among people living with HIV (PLHIV) who have been lost to follow-up (LTFU). We assessed survival outcomes among PLHIV who were LTFU in Thailand and Malaysia, through linkages to a national death registry or HIV database. Methods: Data linkages with the national death registry or national HIV database were conducted in 2020 on all PLHIV who met LTFU criteria while enrolled in care at participating HIV clinical sites. LTFU was defined as having no documented clinical contact in the previous year, excluding transfers and deaths. Survival time was analyzed using the Cox regression, stratified by site. Results: Data linkages were performed for 489 PLHIV who had been LTFU at sites in Malaysia (n = 2) and Thailand (n = 4). There were 151 (31%) deaths after being LTFU; the mortality rate was 4.89 per 100 person-years. Risk factors for mortality after being LTFU were older age [41–50 years: hazard ratio (HR) = 1.99, 95% confidence interval (CI): 1.08 to 3.68; and older than 50 years: HR = 4.93, 95% CI: 2.63 to 9.22; vs. age 30 years or younger]; receiving NRTI + PI (HR = 1.87, 95% CI: 1.22 to 2.85 vs. NRTI + NNRTI); positive hepatitis C antibody (HR = 2.25, 95% CI: 1.40 to 3.62); and having previous AIDS illness (HR = 1.45, 95% CI: 1.03 to 2.05). An improved survival was seen with a higher CD4 count (CD4 351–500 cells/µL: HR = 0.40, 95%CI: 0.21–0.76; and CD4 >500 cells/µL: HR = 0.43, 95%CI: 0.25–0.75; vs. CD4 ≤200 cells/µL). Conclusions: Almost one-third of PLHIV who were LTFU in this cohort had died while out of care, emphasizing the importance of efforts to reengage PLHIV after they have been LTFU and ensure they have access to ongoing ART. [ABSTRACT FROM AUTHOR]

Purpose: Human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) remains a global public health challenge and epidemic disease in sub-Saharan African (SSA) countries. Retention in HIV care should be emphasized to reach", 95-95-95" the Joint United Nations Program on HIV/AIDS (UNAIDS) target by 2030. In Tanzania, in spite of existing strategies to ensure retention, loss to follow-up (LTFU) among HIV-infected men is still a common challenge. With limited studies focusing on men's population, little is known on their perspectives on factors contributing to LTFU. This study aimed to explore factors contributing to LTFU among men living with HIV/AIDS in the Kibaha district and to try to formulate strategies that work for men. Methods: The qualitative study using a phenomenological approach was conducted among 16 men with experience in LTFU from three HIV care and treatment clinics located in the Kibaha district. Purposive sampling was used to select informants for semi-structured in-depth interviews from August to December, 2021. The collected data was analyzed thematically. Results: The findings were grouped into three themes which highlightedthe contribution of individual factors, socio-economic factors and health system factors. These factors include anticipated HIV-related stigma, lack of disclosure of their HIV status to their partners, poor knowledge on HIV care, unbearable antiretroviral (ART) medication side effects, sharing of ART medications with their partners, perceived good health status, financial difficulties, work-related travels, demanding employment schedules, spiritual belief in faith healing, poor conduct among healthcare workers and loss of Care and Treatment Clinic (CTC) cards hindered their use of ART services at clinics. Conclusion: The findings from this study revealed linked multi-level factors that influence LTFU from HIV care among HIV-infected men. In order to retain men in HIV care, tailored intervention approaches should be formulated. [ABSTRACT FROM AUTHOR]

BackgroundThroughout most of sub-Saharan Africa (and, indeed, most resource-limited areas), lack of death registries prohibits linkage of cancer diagnoses and precludes the most expeditious approach to determining cancer survival. Instead, estimation of cancer survival often uses clinical records, which have some mortality data but are replete with patients who are lost to follow-up (LTFU), some of which may be caused by undocumented death. The end result is that accurate estimation of cancer survival is rarely performed. A prominent example of a common cancer in Africa for which survival data are needed but for which frequent LTFU has precluded accurate estimation is Kaposi sarcoma (KS).MethodsUsing electronic records, we identified all newly diagnosed KS among HIV-infected adults at 33 primary care clinics in Kenya, Uganda, Nigeria, and Malawi from 2009 to 2012. We determined those patients who were apparently LTFU, defined as absent from clinic for ≥90 days at database closure and unknown to be dead or transferred. Using standardized protocols which included manual chart review, telephone calls, and physical tracking in the community, we attempted to update vital status amongst patients who were LTFU.ResultsWe identified 1222 patients with KS, of whom 440 were LTFU according to electronic records. Manual chart review revealed that 18 (4.1%) were classified as LFTU due to clerical error, leaving 422 as truly LTFU. Of these 422, we updated vital status in 78%; manual chart review was responsible for updating in 5.7%, telephone calls in 26%, and physical tracking in 46%. Among 378 patients who consented at clinic enrollment to be tracked if they became LTFU and who had sufficient geographic contact/locator information, we updated vital status in 88%. Duration of LTFU was not associated with success of tracking, but tracking success was better in Kenya than the other sites.ConclusionIt is feasible to update vital status in a large fraction of patients with HIV-associated KS in sub-Saharan Africa who have become LTFU from clinical care. This finding likely applies to other cancers as well. Updating vital status amongst lost patients paves the way towards accurate determination of cancer survival.

Background: Due to improved coverage and scale-up of antiretroviral therapy (ART), patients are increasingly transferring between ART-providing sites. Self-transfers may constitute a high proportion of patients considered lost to follow-up (LTFU), and if overlooked when reporting patients who have dropped out of HIV care, may result in an incorrect estimation of retention. We determined the prevalence of self-transfers, and successful tracing, and identified associated factors among people living with HIV (PLHIV) LTFU from care at public health facilities in Sheema District, Southwestern Uganda. Methods: We conducted a cross-sectional retrospective medical records review during February and March 2022. We included records of all PLHIV who were LTFU from 2017 to 2021, and who were registered at government-owned ART clinics in Sheema District. LTFU was considered for those who were not taking ART refills for a period of ≥ 3 months. We abstracted demographic and clinical data from medical records at the selected clinics. Participants were traced via phone calls or in-person to ascertain the outcomes of LTFU. We performed multivariate modified Poisson regression to identify factors associated with self-transfer, and successful tracing. Results: Overall, 740 patients were identified as LTFU from three ART-providing clinics; of these, 560 (76%) were self-transfers. The mean age was 30 (SD ± 10) years, and most (69%, n = 514) were female; the majority (87%, 641/740) were successfully traced. Age (adjusted prevalence ratio [aPR] = 1.13, 95% CI 1.01–1.25, P = 0.026 for those aged 18–30 years compared to > 30 years), female sex (aPR = 1.18, 95% CI 1.11–1.25, P < 0.001), and having WHO clinical stage 1–2 (aPR = 2.34, 95% CI 1.89–3.91, P < 0.001) were significantly associated with self-transfer. Presence of a phone contact in the patient's file (aPR = 1.10, 95% CI 1.01–1.90, P = 0.026) was associated with successful tracing of the patients considered LTFU. Conclusion: Self-transfers accounted for the majority of patients recorded as LTFU, highlighting the need to account for self-transfers among patients considered LTFU, to accurately estimate retention in care. ART-providing facilities should regularly update contact information for PLHIV to enable successful tracing, in the event that the patients are LTFU. This calls for a health-tracking system that easily identifies self-transfers across ART-providing clinics using unique patient identifiers. [ABSTRACT FROM AUTHOR]

Background: This study  aimed to analyse the persistence rates of treatment-naïve patients with neovascular age-related macular degeneration (nAMD) who received intravitreal aflibercept therapy in a universal health care system.Methods: In this single-centre retrospective cohort study, we audited data of 918 treatment-naïve patients who received exclusively intravitreal aflibercept therapy for nAMD between September 2015 and May 2021. The primary outcome measures were the rates of treatment nonpersistence (gap in ophthalmological care > 6 months) and long-term nonpersistence (> 12 months).Results: The rates of nonpersistence and long-term nonpersistence were 12.3% and 3.4% after one year; 22.4% and 9.5% after two years; and 38.3% and 19.3% after five years, respectively. Logistic regression analysis revealed that older age (p = 0.045), male sex (p = 0.039), requirement for caretakers or ambulance (p = 0.001), and low visual acuity of the study eye (p = 0.010) or fellow eye (p = 0.029) were independent risk factors for long-term nonpersistence. Patients aged > 80 and > 85 years (p = 0.013 and p = 0.022, respectively) had more than twice the risk for being nonpersistent to therapy within two years of follow-up compared with younger patients. Male patients (p = 0.033), patients requiring a caretaker (p = 0.038), and patients living > 60 km from the clinic (p = 0.029) had a 2 × higher risk of being persistently nonpersistent to therapy.Conclusions: Patients with nAMD who were treated with aflibercept had lower nonpersistence rates than those reported in current literature. Multiple independent risk factors were correlated with long-term nonpersistence, early nonpersistence, or complete loss to follow-up. Considering the possible consequences of reduced compliance, further strategies are urgently needed for patients at risk of nonpersistence to therapy. [ABSTRACT FROM AUTHOR]

Electronic methods have been implemented to collect patient-reported outcome measures (PROMs) to try to increase follow-up rates after surgery. There is a paucity of studies evaluating differences between people who respond to automated electronic methods and those who need manual hard copy mailings. The aims of this study are (1) to evaluate demographic differences between patients who respond to automated data collection vs. manual hard copy mailings and (2) to compare PROM scores with and without patients who respond through mail to determine if there are significant differences. A retrospective review of our institutional shoulder arthroplasty registry from 2016 to 2020 at a high-volume tertiary care hospital was performed. A query was created to evaluate if patients responding at 1 and 2 years completed their forms using automated electronic collection or manual assistance from a research assistant. At 1 year, 975 (86% of respondents) patients responded to automated methods, and 505 (75%) at 2 years. The population had an average age of 67 ± 10.0 years, and 50% were female. Two sample t tests and chi-squared tests were used as appropriate to evaluate differences in demographics and PROMs. Almost no differences were found between age, gender, college education, prior surgery, living situation, and procedure type at 1 and 2 years. A significant difference between groups was found in SANE at 1 (71.6 vs. 78.3; P =.003) and 2 years (70.1 vs. 78.1; P <.001). This may be a result of measurement error, however. No other differences in PROMs scores were found. In addition, there were no differences between the entire sample and automated response alone, suggesting no additional effect of manual reminders. The addition of manual reminders requires additional costs and may be an unnecessary expense if both methods capture the same type of patients without an impact on outcomes. [ABSTRACT FROM AUTHOR]

The coronavirus 2019 (COVID-19) pandemic has posed numerous worldwide challenges. The level of social vulnerability of the migrant population is disproportionately higher than other populations. Recent reports have shown that the access to care for the migrant population (i.e., non-French nationality patients) were greatly impacted during this pandemic. Thus, we would like to highlight the significant impact of the COVID-19 pandemic on care follow-up in those migrant people infected with HIV who receive HIV care in France. Two groups of patients were defined: that is, patients with continuous care and patients with a loss of follow-up of at least one year during the COVID-19 pandemic. Among 672 HIV patients, 19 (2.7%) patients were lost to follow-up for at least one year during the COVID-19 pandemic. We found no significant difference for gender (p = 0.332) or age (p = 0.115) between the two groups. However, patients with a loss of follow-up were mainly migrants rather than from the other group (p < 0.001), and the same results were observed for the nation of birth (89.5% vs. 44%, p < 0.001). In our hospital, most of the patients who were living abroad but had HIV care in France before the COVID epidemic (mainly retired migrants) were lost to follow-up during the COVID-19 pandemic. To date, most of them have not resumed HIV care in France and we do not know their present situation. We can only observe that the COVID-19 pandemic has predominately disrupted the HIV care of migrant populations. Do not let them be left behind! [ABSTRACT FROM AUTHOR]

Introduction: Inadequate surveillance of thyroid nodules can lead to cancer progression. This study examines patient characteristics that correlate with failure to follow up after thyroid nodule detection., Methods: We performed a retrospective analysis of patients who underwent fine needle aspiration (FNA) for thyroid nodules and studied subsequent thyroid ultrasounds, clinic visits, and thyroidectomies longitudinally. Poverty areas are census tracts where at least 20% of residents live below the poverty line. Logistic regression was used to assess associations between patient characteristics and follow-ups, with results expressed as odds ratios (ORs) and 95% confidence intervals (CIs)., Results: Of 2446 patients included, the majority were white (62.6%) and female (78.5%), with an average age of 55 ± 16 years. 28% patients were from high poverty areas. Benign findings (Bethesda II) were observed in 73.5% of the biopsies. 42.5% of patients underwent at least one follow-up ultrasound, 59% had at least one clinic visit, and 24.4% underwent a thyroidectomy, with a 34.8% malignancy rate on surgical pathology. Patients from high poverty areas were significantly less likely to receive follow-up ultrasounds (35.7% vs. 45.9%, p < 0.001) or clinic visits (53.7% vs. 61.2%, p = 0.001). Multivariable analysis revealed that poverty was significantly associated with not having follow-up in all patients (OR = 0.78, 95% CI 0.64 - 0.96) and non-benign biopsy (Bethesda 3 or higher) results (OR = 0.44, 95% CI 0.24 - 0.81)., Conclusion: There is a notable disparity in the follow-up of thyroid nodules, with patients from high poverty areas being more susceptible to loss of follow-ups., (Copyright © 2024. Published by Elsevier Inc.)

Rationale: Loss to follow-up of participants can compromise the statistical validity of randomised trials. Moreover, it can have financial consequences for trial teams and funders. This study explores the Occupational Therapist Intervention Study (OTIS) where, despite a withdrawal rate of less than 10%, the trial team incurred opportunity costs related to participants who were initially recruited but subsequently decided to withdraw from the trial., Aims and Objectives: To estimate the cost of participant losses to follow-up in the OTIS trial and thus introduce a costing framework to research teams on how they could estimate the opportunity costs of participant withdrawal from their randomised trials., Methods: The participants lost to follow-up are differentiated by (1) the time point at which they were lost to follow-up; (2) the treatment group they were allocated to; (3) their response patters to follow-up questionnaires; these elements were considered to identify the relevant types of attrition. Protocol-driven costs of trial materials, including administration, print, and shipping, were gathered. We calculated unit costs for each type of attrition by multiplying protocol-driven and intervention costs with the relevant number of participants. Summing up unit costs by type of loss to follow-up yields aggregate figures, enabling the estimation of aggregate and average opportunity costs of attrition., Results: The average cost per participant loss to follow-up in the OTIS trial is £98.41. The aggregate cost of participant loss to follow-up is £10,234.90 from the economic perspective of the trial team. Therefore, 1.42% of the allocated funding has been misallocated because of participant loss to follow-up., Conclusion: Despite the low attrition rate of the OTIS trial, loss to follow-up has still generated considerable opportunity costs. It is recommended that decision makers focus on identifying strategies which could improve participant retention in randomised trials to optimise their budget., (© 2024 The Author(s). Journal of Evaluation in Clinical Practice published by John Wiley & Sons Ltd.)

Background: Lifelong continuity of care is essential for patients with congenital heart disease (CHD) to maximize health outcomes; unfortunately, gaps in care (GIC) are common. Trends in GIC and of social determinants of health factors contributing to GIC are poorly understood., Methods and Results: This retrospective cohort study included patients with CHD, aged 0 to 34 years, who underwent surgery between January 2003 and May 2020, followed up at a pediatric subspeciality hospital. Patients were categorized as having simple, moderate, and complex CHD based on 2018 American Heart Association and American College of Cardiology guidelines. Social determinants of health, such as race, ethnicity, language, insurance status, and Child Opportunity Index, based on home address zip code, were analyzed. Of 2012 patients with CHD, a GIC of ≥3 years was identified in 56% (n=1119). The proportion of patients with GIC per year increased by 0.51% ( P <0.001). Multivariable longitudinal models showed that the odds of GIC were higher for patients who were ≥10.5 years old, had simple CHD, lived out of state, lived farther from care site, received public insurance, had less protection with additional insurance plans, and with low Child Opportunity Index. A separate model for patients with only moderate/complex CHD showed similar findings. Race and ethnicity were not associated with the odds of experiencing GIC over time., Conclusions: GIC have increased over time for patients with CHD. Social determinants of health, like insurance, access, and neighborhood opportunity, are key risk factors for increasing GIC. Efforts to reduce GIC in patients with CHD should focus on addressing the impact of specific social determinants of health.

Introduction: HIV has transitioned from a devastating 1980s epidemic to a manageable chronic condition with antiretroviral therapy. In Brazil, challenges persist, including high detection rates and loss of medical follow-up among people living with HIV/AIDS (PLHIV). Adherence, engagement, and avoiding loss to follow-up are critical for effective HIV/AIDS prevention and care., Objectives: This case-control study within longitudinal research on PLHIV linkage and retention in Porto Alegre aims to analyze factors associated with treatment abandonment., Methods: The study, based on patients from the Therapeutic Care Service for HIV and AIDS at Sanatorio Partenon Hospital, involved 360 PLHIV in a retention and linkage outpatient clinic., Results: Risk factors for loss to follow-up include cisgender women, diagnosis between 1991 and 2005, and non-adherence to antiretroviral treatment (ART). Conversely, cisgender men, diagnosis between 2015 and 2023, and good ART adherence were protective factors., Conclusion: Gender disparities and ART non-adherence pose significant challenges in comprehensive PLHIV care. Cisgender women diagnosed before 2005 face higher risk, while cisgender men diagnosed after 2015 with good ART adherence are more protected, influencing care and prevention strategies for PLHIV., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objectives: Renal cell carcinoma (RCC) is shown to have a tendency for late recurrence, occurring 5 or more years after curative surgery. Imaging diagnosis is required for follow-up, and there is no definitive answer as to how long this should continue. Some patients discontinue follow-up visits at their own discretion. How best to predict late recurrence and loss to follow-up (LF) remains unclear., Patients and Methods: This study targeted patients diagnosed with non-metastatic RCC who underwent either radical or partial nephrectomy at Chiba University Hospital between 1988 and 2021. Follow-up for patients with RCC is typically lifelong. We used random survival forests (RSFs), a machine learning-based survival analysis method, to predict late recurrence and LF. For verification of prediction accuracy, we applied the time-dependent area under the receiver operating characteristic curve (t-AUC). To analyse the risks of late recurrence and LF, SurvSHAP(t) and partial dependence plots were used., Results: We analysed 1051 cases in this study. Median follow-up was 58.5 (range: 0-376) months. The predictive accuracy of recurrence using RSF was t-AUC 0.806, 0.761, 0.674 and 0.566 at 60, 120, 180 and 240 months postoperatively, respectively. The recurrence risk impact showed a time-dependent increase up to approximately 50 months postoperatively. Beyond 50 months, there were no distinct risk factors characteristic of late recurrence. The predictive accuracy of LF using RSF was t-AUC 0.542, 0.699, 0.685, 0.628 and 0.674 at 60, 120, 180, 240 and 300 months postoperatively, respectively. The risk of LF increased with advancing age beyond 70 years., Conclusion: It is difficult to identify factors that predict late recurrence. For long-term follow-up observation, it is essential to pay particular attention to patients with RCC aged 70 years and above. Establishing frameworks to facilitate collaboration with local hospitals near patients' residences and providing care within the community is necessary., Competing Interests: All authors declare that there are no conflicts of interest., (© 2024 The Author(s). BJUI Compass published by John Wiley & Sons Ltd on behalf of BJU International Company.)

Background: Spinal cord stimulation (SCS) is often an option of last resort for patients with post-laminectomy syndrome or an alternative option for patients with complex regional pain syndrome, chronic nonsurgical low back pain, or painful diabetic peripheral neuropathy when conservative management has failed. Although SCS is a helpful option, it is not without complications that can frequently lead to explantation of the SCS device and dissatisfaction with the treatment. Furthermore, as with any technology, SCS has potential issues that may lead to patient frustration and ultimately result in patient noncompliance and lack of follow-up visits., Objectives: The goals of this study are to explore the magnitude of and reasons for patient loss to follow-up after SCS device implantation., Study Design: A cross-sectional phone survey., Setting: A tertiary-care academic hospital., Methods: A cross-sectional phone survey was performed on 49 patients who were deemed lost to follow-up when they did not return to the clinic one month after being implanted with permanent SCS devices at Beth Israel Deaconess Medical Center. Patients were administered an institutional review board-approved questionnaire exploring their reasons for not returning to the clinic., Results: Over a 5-year period, 257 patients underwent full implantation of an SCS device. Of the 49 patients lost to follow-up, 24 were able to be contacted, and they completed the questionnaire. Twenty of the patients continued to use the SCS device but were lost to follow-up for the following reasons: 58% (14/24) due to improvement of pain, 13% (3/24) due to minimal improvement in pain control, 4% (1/24) due to other urgent health conditions, and 8% (2/24) due to patient noncompliance and missing follow-up appointments (4/24). Four patients discontinued using the SCS device after an average of 1.5 years +/- one year, 12% (3/24) due to inadequate pain control and 4% (1/24) due to inability to recharge the device (1/24). Of these patients, 2 of the 4 contacted their SCS representatives for help with troubleshooting prior to discontinuation. None of the patients was explanted., Limitations: The main limitation of this study was the incompletion rate, which was 51.0% (25 out of 49 patients)., Conclusions: This paper, the first cross-sectional study of loss to follow-up among patients who are implanted with SCS devices, identifies that up to 19% of patients are quickly lost to follow-up after implantation. Only half of the patients in this study could be reached, with most successfully using their device for meaningful pain control, but a substantial number of patients likely required additional device optimization for pain relief.

Setting: Madang Province is located on the northern coast of Papua New Guinea (PNG), a critical mixing point between the populous highlands and more remote regions. Madang Province faces challenges with limited capacity to diagnose and treat TB., Objective: To describe the TB caseload and investigate factors associated with known unfavourable treatment outcomes., Design: This is a retrospective cohort study using routinely collected TB programmatic data for treatments commenced 1 January 2019 to 31 December 2021. Using multivariable logistic regression, factors associated with known unfavourable treatment outcomes-death, failure after treatment, and loss to follow-up (LTFU)-were evaluated., Results: Of the 4,668 registered and treated, 3,755 had an evaluated outcome, and 33% had unfavourable outcomes, most commonly LTFU (23%). Unfavourable treatment outcomes were significantly associated with HIV-untested (aOR 2.82 compared to HIV-negative; 95% CI 2.39-3.33), having drug-resistant TB (aOR 3.26 compared to drug-susceptible TB, 95% CI 1.18-9.00), and travel time to the health facility 1-<3 hours by foot (aOR 3.53 compared to <1 hour by foot; 95% CI 1.04-12.06)., Conclusion: High LTFU from TB treatment was associated with factors that indicate barriers to access to care and treatment completion. Decentralisation and strengthening of TB services for improved person-centred care and treatment support are urgently required in Madang Province., Competing Interests: Conflicts of interest: none declared., (© 2024 The Authors.)

Abstract Background Drug-resistant tuberculosis (DR-TB) is the barrier for global TB elimination efforts with a lower treatment success rate. Loss to follow-up (LTFU) in DR-TB is a serious problem, causes mortality and morbidity for patients, and leads to wide spreading of DR-TB to their family and the wider community, as well as wasting health resources. Prevention and management of LTFU is crucial to reduce mortality, prevent further spread of DR-TB, and inhibit the development and transmission of more extensively drug-resistant strains of bacteria. A study about the factors associated with loss to follow-up is needed to develop appropriate strategies to prevent DR-TB patients become loss to follow-up. This study was conducted to identify the factors correlated with loss to follow-up in DR-TB patients, using questionnaires from the point of view of patients. Methods An observational study with a cross-sectional design was conducted. Study subjects were all DR-TB patients who have declared as treatment success and loss to follow-up from DR-TB treatment. A structured questionnaire was used to collect information by interviewing the subjects as respondents. Obtained data were analyzed potential factors correlated with loss to follow-up in DR-TB patients. Results A total of 280 subjects were included in this study. Sex, working status, income, and body mass index showed a significant difference between treatment success and loss to follow-up DR-TB patients with p-value of 0.013, 0.010, 0.007, and 0.006, respectively. In regression analysis, factors correlated with increased LTFU were negative attitude towards treatment (OR = 1.2; 95% CI = 1.1–1.3), limitation of social support (OR = 1.1; 95% CI = 1.0–1.2), dissatisfaction with health service (OR = 2.1; 95% CI = 1.5–3.0)), and limitation of economic status (OR = 1.1; 95% CI = 1.0–1.2)). Conclusions Male patients, jobless, non-regular employee, lower income, and underweight BMI were found in higher proportion in LTFU patients. Negative attitude towards treatment, limitation of social support, dissatisfaction with health service, and limitation of economic status are factors correlated with increased LTFU in DR-TB patients. Non-compliance to treatment is complex, we suggest that the involvement and support from the combination of health ministry, labor and employment ministry, and social ministry may help to resolve the complex problems of LTFU in DR-TB patients.

Abstract Objective Mobile phones are used in research studies, to enroll and follow-up participants, collect data, and implement mHealth initiatives. We conducted a longitudinal study in a birth cohort, where infants were required to make four scheduled visits by 12 months of age. Families of those failing to attend scheduled follow-up visits, were contacted telephonically to ascertain the reasons, which were categorized as: not interested to continue participating, migrated, phone disconnected due to telecom change, or other reason. Results A total of 413 mother-infant dyads were enrolled. The overall attrition was 56%, with majority occurring at the first follow-up visit. This temporally coincided with a telecom service provider announcing strong incentives to switch providers. Attrition monotonically decreased at subsequent visits. The reasons were: moved away (13%), no longer interested (8%), phone disconnected (7%), and multiple other reasons (28%), the majority of whom had unreachable phones. Those who remained in the study and those lost to follow-up were similar on most demographic variables. Among common reasons for attrition in cohort studies, we experienced a new dimension introduced by telecom changes. These findings underscore the need to consider unexpected reasons for attrition in longitudinal studies, and design more robust methods to follow-up participants.

Abstract Background Eliminating mother-to-child transmission of HIV (MTCT) in sub-Saharan Africa is hindered by limited understanding of HIV-testing and HIV-care engagement among pregnant and breastfeeding women. Methods We investigated HIV-testing and HIV-care engagement during pregnancy and breastfeeding from 2014 to 2018 in the Agincourt Health and Demographic Surveillance System (HDSS). We linked HIV patient clinic records to HDSS pregnancy data. We modelled time to a first recorded HIV-diagnosis following conception, and time to antiretroviral therapy (ART) initiation following diagnosis using Kaplan-Meier methods. We performed sequence and cluster analyses for all pregnancies linked to HIV-related clinic data to categorise MTCT risk period engagement patterns and identified factors associated with different engagement patterns using logistic regression. We determined factors associated with ART resumption for women who were lost to follow-up (LTFU) using Cox regression. Results Since 2014, 15% of 10,735 pregnancies were recorded as occurring to previously (51%) or newly (49%) HIV-diagnosed women. New diagnoses increased until 2016 and then declined. We identified four MTCT risk period engagement patterns (i) early ART/stable care (51.9%), (ii) early ART/unstable care (34.1%), (iii) late ART initiators (7.6%), and (iv) postnatal seroconversion/early, stable ART (6.4%). Year of delivery, mother’s age, marital status, and baseline CD4 were associated with these patterns. A new pregnancy increased the likelihood of treatment resumption following LTFU. Conclusion Almost half of all pregnant women did not have optimal ART coverage during the MTCT risk period. Programmes need to focus on improving retention, and leveraging new pregnancies to re-engage HIV-positive women on ART.

Background: Eosinophilic esophagitis (EoE) is a chronic disease, but the extent of patient loss to follow-up (LTFU) and health care utilization has not been fully investigated. Aim: To determine frequency and predictors of LTFU and health care utilization in EoE patients. Methods: In this retrospective cohort study, we extracted data from patients with a new diagnosis of EoE. Follow-up time for each patient was calculated as the time from the first diagnostic endoscopy to the last GI-related contact date in the medical record. Patients with and without LTFU were compared, and the volume of EoE-related health care interactions was recorded. Results: Of 944 EoE cases, 249 (26%) met the definition for LTFU. Major reasons for LTFU were never being scheduled (45%) and inability to contact patients (40%). Factors independently associated with regular follow-up were having insurance (aOR 2.89; 95% CI 1.85–4.50), white race (aOR 2.16; 95% CI 1.37–3.41), and longer symptom length (aOR 1.04 per year; 95% CI 1.01–1.08). At the time of last contact, patients with follow-up had better symptom response (55% vs. 12%; p < 0.001), improved esophageal caliber (14.3 vs. 12.4 mm; p = 0.005), and more histologic response (45% vs. 4% at 15 eos/hpf; p < 0.001). Health care utilization was high, with an average of 4.6 endoscopies and 4.0 clinic visits over the follow-up period. Conclusions: LTFU of newly diagnosed EoE cases was common and associated with lack of insurance, non-white race, and shorter symptom duration. Those who followed up had high health care utilization but improved response rates. Strategies are needed to help decrease LTFU in EoE. [ABSTRACT FROM AUTHOR]

The goals of this study were to assess retention on antiretroviral therapy (ART) and to identify predictors of loss to follow-up (LTFU) among people living with HIV (PLHIV) in Senegal. HIV-positive individuals presenting for initiation of ART in Dakar and Ziguinchor were enrolled and followed for 12 months. Data were collected using interviews, clinical evaluations, laboratory analyses, chart review, and active patient tracing. Of the 207 individuals enrolled, 70% were female, 32% had no formal education, and 28% were severely food insecure. At the end of the follow-up period, 58% were retained on ART, 15% were deceased, 4% had transferred care, 5% had migrated, and 16% were lost to follow-up. Enrollment in Ziguinchor (OR 2.71 [1.01-7.22]) and severe food insecurity (OR 2.55 [1.09-5.96]) were predictive of LTFU. Sex, age, CD4 count, BMI <18.5, country of birth, marital status, number of children, household size, education, consultation with traditional healers, transportation time, and transportation cost were not associated with LTFU. The strongest predictor of severe food insecurity was lack of formal education (OR 2.75 [1.30-5.80]). Addressing the upstream drivers of food insecurity and implementing strategies to enhance food security for PLHIV may be effective approaches to reduce LTFU and strengthen the HIV care cascade in the region. [ABSTRACT FROM AUTHOR]

Introduction: Loss to follow-up (LTFU) slows the progress in reaching the goals of human immunodeficiency virus (HIV) prevention and treatment. Therefore, it is important to understand the causes behind this phenomena. Herein, we aimed to systematically review the prevalence of LTFU among people living with HIV and the reasons behind this event. Material and methods: A systematic search was conducted with key words applied in online databases, including PubMed, Web of Science, Scopus, UpToDate, and Science Direct, from January 2015 to March 2021. Most relevant papers were retrieved and screened in two phases against inclusion criteria, based on their title/abstract and their full texts, and eligible records were included in the review. Results: In this systematic review, 54 studies were included. Unfavorable socio-demographic and supportive status, distance to facility, age, gender, challenges related to antiretroviral therapy initiation and its' side effects, and CD4+ counts were among the most common reasons cited for LTFU in HIV clinics. Conclusions: LTFU remains a major factor halting the progress in the prevention and treatment of HIV. Great efforts are still needed to address this issue, especially in populations and regions with higher LTFU incidence. Accessibility of receiving care should be increased to encourage patients to continue their treatments. Upcoming follow-up studies are needed to re-evaluate the progress and to report future challenges and limitations. [ABSTRACT FROM AUTHOR]

Long-term patient engagement and retention in HIV care is an ongoing challenge in South Africa's strained health system. However, some patients thought to be "lost to follow-up" (LTFU) may have "transferred" clinics to receive care elsewhere. Through semi-structured interviews, we explored the relationship between clinic transfer and long-term patient engagement among 19 treatment-experienced people living with HIV (PLWH) who self-identified as having engaged in a clinic transfer at least once since starting antiretroviral therapy (ART) in Gugulethu, Cape Town. Our findings suggest that patient engagement is often fluid, as PLWH cycle in and out of care multiple times during their lifetime. The linear nature of the HIV care cascade model poorly describes the lived realities of PLWH on established treatment. Further research is needed to explore strategies for reducing unplanned clinic transfers and offer more supportive care to new and returning patients. [ABSTRACT FROM AUTHOR]

Introduction: Adolescents living with HIV (ALHIV, ages 10-19) experience complex barriers to care engagement. Challenges surrounding HIV status disclosure or non-disclosure to adolescents may contribute to adolescent disengagement from HIV care or non-adherence to ART. We performed a qualitative study to investigate the contribution of disclosure challenges to adolescent disengagement from HIV care.Methods: This was a qualitative study performed with disengaged ALHIV and their caregivers, and with healthcare workers (HCW) in the Academic Model Providing Access to Healthcare (AMPATH) program in western Kenya. Inclusion criteria for ALHIV were ≥1 visit within the 18 months prior to data collection at one of two clinical sites and nonattendance ≥60 days following their last scheduled appointment. HCW were recruited from 10 clinics. Analysis was conducted by multiple independent coders, and narratives of disclosure and care disengagement were closely interrogated. Overarching themes were elucidated and summarized.Results: Interviews were conducted with 42 disengaged ALHIV, 32 caregivers, and 28 HCW. ALHIV were average age 17.0 (range 12.9-20.9), and 95% indicated awareness of their HIV diagnosis. Issues surrounding disclosure to ALHIV presented important barriers to HIV care engagement. Themes centered on delays in HIV status disclosure; hesitancy and reluctance among caregivers to disclose; struggles for adolescents to cope with feelings of having been deceived prior to full disclosure; pervasive HIV stigma internalized in school and community settings prior to disclosure; and inadequate and unstructured support after disclosure, including for adolescent mental health burdens and for adolescent-caregiver relationships and communication. Both HCW and caregivers described feeling inadequately prepared to optimally handle disclosure and to manage challenges that may arise after disclosure.Conclusions: Complex challenges surrounding HIV status disclosure to adolescents contribute to care disengagement. There is need to enhance training and resources for HCW, and to empower caregivers to support children and adolescents before, during, and after HIV status disclosure. This should include counseling caregivers on how to provide children with developmentally-appropriate and accurate information about their health from an early age, and to support adolescent-caregiver communication and relationships. Optimally integrating peer support can further promote ALHIV wellbeing and retention in care. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The objective was to assess the loss to follow‐up (LTFU) rates and associated factors amongst patients in HIV care in Burundi. METHODS: We conducted a retrospective cohort study in HIV‐positive patients aged ≥15 years who started antiretroviral therapy (ART) between January 2015 and July 2020, with 31 December 2020 as the end point. The outcome of LTFU was defined as failure of a patient to report for drug refill within 90 days from the last appointment. Study data were extracted from the national AIDS Info database. The LTFU proportion was determined using the Kaplan–Meier method with the log‐rank test, whereas LTFU risk factors were explored using the Cox regression model. RESULTS: A total of 29,829 patients on ART were included in the analysis. Cumulative incidence of LTFU was 2.3% at 12 months, 6.5% at 24 months, 12.7% at 36 months, 19.0% at 48 months, 24.1% at 60 months and 25.3% at 72 months. The overall LTFU incidence rate was 11.2 per 100 person‐years of observation. The risk of LTFU was higher amongst patients who started ART after 2016 (adjusted hazard ratio [aHR] 1.75, 95% confidence interval [CI] 1.65–1.85) or within 7 days after diagnosis (aHR 1.27, 95% CI 1.21–1.35). CONCLUSION: Our findings demonstrate the relatively high incidence of LTFU in the Burundi HIV programme. Interventions targeting patients with risk factors for LTFU are particularly necessary. [ABSTRACT FROM AUTHOR]

Background: A core objective of HIV/AIDS programming is keeping clients on treatment to improve their health outcomes and to limit spread. Machine learning and artificial intelligence can combine client, temporal, and locational attributes to identify which clients are at greatest risk of loss to follow-up (LTFU) and enable health providers to direct support interventions accordingly. Setting: The analysis was part of a project funded by U.S. President's Emergency Plan for AIDS Relief and United States Agency for International Development, Data for Implementation, and applied to data from publicly available sources (health facility data, geospatial data, and satellite imagery) and de-identified electronic medical record data on antiretroviral therapy clients in Nigeria and Mozambique. Methods: The project applied binary classification techniques using temporal cross-validation to predict the risk that patients would be LTFU. Classifiers included logistic regression, neural networks, and tree-based models. Results: Models showed strong predictive power in both settings. In Mozambique, the best-performing model, a Random Forest, achieved an area under the precision–recall curve of 0.65 compared against an underlying LTFU rate of 23%. In Nigeria, the best-performing model, a boosted tree, achieved an area under the precision–recall curve of 0.52 compared against an underlying LTFU rate of 27%. Conclusions: Machine-learned models outperformed current classification techniques and showed potential to better direct health worker resources toward patients at greatest risk of LTFU. Moreover, models performed equally across sex and age groups, supporting the model's generalizability and wider application. [ABSTRACT FROM AUTHOR]

Objectives: Venous thromboembolism, including deep venous thrombosis and pulmonary embolism, is a major source of morbidity, mortality, and healthcare utilization. Given the prevalence of venous thromboembolism and its associated mortality, our study sought to identify factors associated with loss to follow-up in venous thromboembolism patients. Methods: This is a single-center retrospective study of all consecutive admitted (inpatient) and emergency department patients diagnosed with acute venous thromboembolism via venous duplex examination and/or chest computed tomography from January 2018 to March 2019. Patients with chronic deep venous thrombosis and those diagnosed in the outpatient setting were excluded. Lost to venous thromboembolism-specific follow-up (LTFU) was defined as patients who did not follow up with vascular, cardiology, hematology, oncology, pulmonology, or primary care clinic for venous thromboembolism management at our institution within three months of initial discharge. Patients discharged to hospice or dead within 30 days of initial discharge were excluded from LTFU analysis. Statistical analysis was performed using STATA 16 (College Station, TX: StataCorp LLC) with a p -value of <0.05 set for significance. Results: During the study period, 291 isolated deep venous thrombosis, 25 isolated pulmonary embolism, and 54 pulmonary embolism with associated deep venous thrombosis were identified in 370 patients. Of these patients, 129 (35%) were diagnosed in the emergency department and 241 (65%) in the inpatient setting. At discharge, 289 (78%) were on anticoagulation, 66 (18%) were not, and 15 (4%) were deceased. At the conclusion of the study, 120 patients (38%) had been LTFU, 85% of whom were discharged on anticoagulation. There was no statistically significant difference between those LTFU and those with follow-up with respect to age, gender, diagnosis time of day, venous thromboembolism anatomic location, discharge unit location, or anticoagulation choice at discharge. There was a non-significant trend toward longer inpatient length of stay among patients LTFU (16.2 days vs. 12.3 days, p = 0.07), and a significant increase in the proportion of LTFU patients discharged to a facility rather than home (p = 0.02). On multivariate analysis, we found a 95% increase in the odds of being lost to venous thromboembolism-specific follow-up if discharged to a facility (OR 1.95, CI 1.1–3.6, p = 0.03) as opposed to home. Conclusions: Our study demonstrates that over one-third of patients diagnosed with venous thromboembolism at our institution are lost to venous thromboembolism-specific follow-up, particularly those discharged to a facility. Our work suggests that significant improvement could be achieved by establishing a pathway for the targeted transition of care to a venous thromboembolism-specific follow-up clinic. [ABSTRACT FROM AUTHOR]

Background: Loss to follow-up (LTFU) during post-operative surveillance of breast cancer patients is detrimental. The pattern of LTFU and its risk factors in Chinese breast cancer patients remains unknown. Method: Eligible non-metastatic breast cancer patients who underwent surgery at our institution between 2009 and 2012 were included. The clinicopathological features, as well as the LTFU status, were retrieved from the REDCap database. LTFU was defined as the absence of patients for at least 12 months since her last contact. 5-year LTFU was defined as the LTFU status of each patients at 5 years after surgery. The incidence and potential risk factors of LTFU were analyzed. A LTFU-risk score was developed to quantify the risk of LTFU. Results: A total of 1536 patients with breast cancer were included, and 411(26.8%) patients were 5-year LTFU. 198 patients were LTFU in the first year. Univariate and multivariate analysis revealed that age (younger and older), a lack of medical insurance, longer distance from residence to the hospital, pathology (DCIS/Paget’s/Phyllodes), lymph node metastasis, the absence of endocrine therapy and fewer than five contact numbers were significantly and independently associated with the risk of LTFU. A LTFU-risk score was developed and was predictive of LTFU. Conclusions: A series of risk factors were significantly associated with post-operative LTFU of breast cancer patients. Patients with different risks of LTFU could possibly be identified, and surveillance plans could be individualized for different patients, so as to effectively reduce the overall LTFU rate, and optimize the allocation of medical resources.

Abstract Background Loss to follow-up is a major challenge for very preterm (VPT) cohorts; attrition is associated with social disadvantage and parents with impaired children may participate less in research. We investigated the impact of loss to follow-up on the estimated prevalence of neurodevelopmental impairment in a VPT cohort using different methodological approaches. Methods This study includes births

Background.The effect of tracing human immunodeficiency virus (HIV)-infected patients who are lost to follow-up (LTFU) on reengagement has not been rigorously assessed. We carried out an ex post analysis of a surveillance study in which LTFU patients were randomly selected for tracing to identify the effect of tracing on reengagement.Methods.We evaluated HIV-infected adults on antiretroviral therapy who were LTFU (>90 days late for last visit) at 14 clinics in Uganda, Kenya, and Tanzania. A random sample of LTFU patients was selected for tracing by peer health workers. We assessed the effect of selection for tracing using Kaplan-Meier estimates of reengagement among all patients as well as the subset of LTFU patients who were alive, contacted in person by the tracer, and out of care.Results.Of 5781 eligible patients, 991 (17%) were randomly selected for tracing. One year after selection for tracing, 13.3% (95% confidence interval [CI], 11.1%-15.3%) of those selected for tracing returned compared with 10.0% (95% CI, 9.1%-10.8%) of those not randomly selected, an adjusted risk difference of 3.0% (95% CI, .7%-5.3%). Among patients found to be alive, personally contacted, and out of care, tracing increased the absolute probability of return at 1 year by 22% (95% CI, 7.1%-36.2%). The effect of tracing on rate of return to clinic decayed with a half-life of 7.0 days after tracing (95% CI, 2.6 %-12.9%).Conclusions.Tracing interventions increase reengagement, but developing methods for targeting LTFU patients most likely to benefit can make this practice more efficient.

BackgroundLifelong antiretroviral therapy (ART) is recommended for all HIV-infected pregnant women, but early studies suggest that women often drop out of care postpartum and data are limited on virologic outcomes.MethodsWe evaluated viral suppression (primary outcome) and retention in care up to 5 years after ART initiation among HIV-infected women who started lifelong ART during pregnancy, irrespective of CD4 count, in a study in rural Uganda (NCT00993031). Participants were followed in the study for up to 1 year postpartum, then referred to clinics in surrounding communities. A random sample (N = 200) was invited to participate in a cross-sectional follow-up study after completing the trial, involving one visit for a questionnaire and pregnancy and HIV-1 RNA testing. Retention in care was defined as having attended an HIV clinic in the last 90 days. Logistic regression models were used to examine factors associated with viral suppression (HIV-1 RNA

BackgroundSurvival after diagnosis is a fundamental concern in cancer epidemiology. In resource-rich settings, ambient clinical databases, municipal data and cancer registries make survival estimation in real-world populations relatively straightforward. In resource-poor settings, given the deficiencies in a variety of health-related data systems, it is less clear how well we can determine cancer survival from ambient data.MethodsWe addressed this issue in sub-Saharan Africa for Kaposi's sarcoma (KS), a cancer for which incidence has exploded with the HIV epidemic but for which survival in the region may be changing with the recent advent of antiretroviral therapy (ART). From 33 primary care HIV Clinics in Kenya, Uganda, Malawi, Nigeria and Cameroon participating in the International Epidemiologic Databases to Evaluate AIDS (IeDEA) Consortia in 2009-2012, we identified 1328 adults with newly diagnosed KS. Patients were evaluated from KS diagnosis until death, transfer to another facility or database closure.ResultsNominally, 22% of patients were estimated to be dead by 2 years, but this estimate was clouded by 45% cumulative lost to follow-up with unknown vital status by 2 years. After adjustment for site and CD4 count, age

Background & aims: There are approximately 49,000 people (0.34%) in the Netherlands with a chronic hepatitis B virus (HBV) infection. It is unclear how many are linked to care and under follow-up in hepatitis outpatient clinics. This study determined the cascade of care and identified predictors for not being linked to care and loss to follow-up in Maastricht, the Netherlands. Methods: All hepatitis B surface antigen (HBsAg)-positive patients between December 1, 1996 and September 30, 2018 were retrospectively identified. Results: In total, 644 HBsAg-positive patients were identified; of whom 75 had acute HBV infection, 471 chronic HBV infection and 98 unknown. Out of 569 individuals with a chronic/unknown HBV status, 134/569 (23.6%) were not linked to care and 58.7% (195/332 after excluding those who died or achieved HBsAg-seroclearance) were loss to follow-up (LTFU). A predictor for not being linked to care was Caucasian ethnicity (odds ratio (OR) = 2.76 (95% Confidence Interval (CI) = 1.21–6.29); p = .015). Predictors for LTFU were older age (OR = 0.97 (CI = 0.94–0.99); p = .008), HBV DNA >20,000 IU/mL (OR = 0.44 (CI = 0.21 - 0.93); p = .033) and Asian ethnicity (OR = 0.46, (CI = 0.21–1.00); p = .050). Rates of not being linked to care and LTFU decreased over time from 12.7% in 1996 to 4.4% in 2018 and from 79.2% in 1996 to 37.2% in 2018, respectively. Conclusions: A considerable amount of HBsAg-positive individuals were not linked to care or LTFU. This study indicates that ethnicity plays a role in linkage to care and follow-up. Further research is needed to elaborate on those results.

Abstract Background A large number of HIV-infected children continue to die despite reported scale-up of paediatric HIV services. Aim The trend in attrition among children enrolled in an anti-retroviral therapy (ART) programme was evaluated. Methods This was a retrospective review of children enrolled into NAUTH ART programme between 2003 and 2019. Results 1114 children 50% of attrition was recorded within 6 months of care. Advanced WHO stage, young age, non-initiation on ART or period of enrolment (P

Abstract Daily adherence to antihypertensive medications is necessary to control hypertension. Under the State hypertension control program, hypertensive patients are enrolled in public health settings, provided with 30‐day medication prescriptions, and advised to return to the health facility monthly. However, at least 50‐60% of patients do not visit the health facility for their scheduled follow‐up appointments. The authors aimed to document the major reasons for missed appointments and to characterize patient and health system barriers. By telephone, the authors interviewed 300 randomly selected patients who missed appointments for more than three consecutive months. Out of the 300, 206 were interviewed using a pre‐structured questionnaire to explore patients’ experiences along with medical record reviews from the patient database. Not feeling sick or not experiencing any symptoms (24.8%) was the major reason why patients did not return to the clinic, followed by far distance from the facility (22.3%). Among other reasons for missing follow‐up appointments, lack of instructions/guidance from the facility (15.3%), acute illness among patients (8.3%), and long waiting time at the facilities (7%) were also documented. Most of these patients (55.4%) continued treatment from other sources, and a majority (54%) preferred private clinics. These results suggest the need for a more patient‐centered care model, including education about hypertension as an asymptomatic but life‐threatening condition and addressing the barrier of travel distance between a patient's home and the health facility. Further, introducing a reminder system using telephone calls, text messages, or home visits by health workers may increase the follow‐up rate among patients.

Abstract Background Understanding the reasons for loss to follow-up (LTFU) in cohort studies, especially among marginalized groups such as people who inject drugs (PWID), is needed to strengthen the rigor of efficacy trials for prevention and treatment interventions. We assessed the proportion and reasons for loss to follow-up in a recent cohort of PWID enrolled in the southeast of Iran. Methods Using respondent-driven sampling, we recruited 98 PWID age 18 years or older who reported injecting drugs in the past 6 months, and were negative for HIV and HCV at initial screening. Participants were followed at 6 week intervals, alternating a short six-week visit and long 12-week or quarterly visit to measure incidence of HIV and HCV. Methods to enhance retention included incentives for completing each visit, tracking people who missed the scheduled visits through their peer referral networks, engaged outreach teams to explore hotspots and residences, and photos. LTFU was defined as participants who missed their quarterly visits for two or more weeks. Results Mean (SD) age of participants was 39.7 years (SD 9.6). Of 98 enrolled, 50 participants (51.0%) were LTFU by missed their scheduled quarterly visits for 2 weeks or more. For those whose reasons for LTFU could be defined (46.0%, 23 of 50), main reasons were: forgetting the date of visit (43.5%, 10 of 23), being incarcerated (39.1%, 9 of 23), and moving out of the city (17.4%, 4 of 23). Conclusion This study highlighted the difficulty in retaining PWID in longitudinal studies. Despite having several retention strategies in place, over half of PWID were LTFU. The LTFU might be reduced by setting up more effective reminder systems, working closely with security systems, and online means to reach those who move outside the study area.

Abstract Background Understanding the impact of food insecurity on HIV outcomes is critical for the development and implementation of effective, evidence-based interventions to address food insecurity and improve the HIV care cascade. We conducted a prospective, longitudinal study to determine the impact of food insecurity on HIV outcomes in Senegal, West Africa. Methods HIV-infected individuals presenting for care and initiation of ART through the Senegalese National AIDS program in Dakar and Ziguinchor were eligible for enrollment. Data were collected using interviews, clinical evaluations, laboratory analyses, and chart review at enrollment, month 6, and month 12. Logistic regression was used to determine the association between food insecurity and HIV outcomes. Results Among the 207 participants in this study, 70% were female and the median age was 37 years. The majority (69%) were food insecure at enrollment, 29% were severely food insecure, and 38% were undernourished. Nearly a third (32%) had no formal education, 23% practiced agriculture, and 40% owned livestock. The median daily food expenditure per person was $0.58. The median round trip transportation time to clinic was 90 min (IQR 30–240). The median cost of transportation to clinic was $1.74. At month 12, 69% were food insecure, 23% were severely food insecure, and 14% were undernourished. At month 12, 43% had not disclosed their HIV status; food insecurity was associated with non-disclosure of HIV-status due to fear of stigmatization and feelings of shame. Severe food insecurity was a strong predictor of loss to follow-up (OR 3.13 [1.08–9.06]) and persistent severe food insecurity was associated with virologic failure (OR 5.14 [1.01–26.29]) and poor adherence to ART 8.00 [1.11–57.57]. Poor nutritional status was associated with poor immunologic recovery (OR 4.24 [1.56–11.47]), virologic failure (OR 3.39 [1.13–10.21]), and death (OR 3.35 [1.40–8.03]). Conclusion Severity and duration of food insecurity are important factors in understanding the relationship between food insecurity and HIV outcomes. Our findings highlight the importance of nutritional status, socioeconomic opportunity, and self-stigmatization in the complex pathway between food insecurity and HIV outcomes. Interdisciplinary, multisectoral efforts are needed to develop and implement effective interventions to address food insecurity among people living with HIV.

Abstract Background Good adherence to antiretroviral therapy (ART) and retention in care are essential for the effectiveness of an HIV care program. With the current increase in numbers of people living with HIV taking second-line ART in sub-Saharan Africa, there is a need to establish their treatment outcomes and the rate of loss to follow up. In this study, we determined the incidence and predictors of loss to follow up among patients taking second-line ART at an experienced HIV treatment center in southwestern Uganda. Methods This was a retrospective review of an electronic database at Mbarara Regional Referral Hospital HIV clinic in southwestern Uganda. Second-line ART included at least two of the nucleoside reverse transcriptase inhibitors and a boosted protease inhibitor. Loss to follow-up was defined as failure to return to the health facility for care or treatment refill for 180 days or more from the previous visit. After excluding children less than 15 years, we pooled data that included socio-demographic, clinical, and laboratory data for patients who started second-line ART between 2002 and 2017. Multiple imputation was done for variables with missing data. Variables that had a p

Background: Loss to follow-up (LTFU) from tuberculosis (TB) treatment and care is a major public health problem as patients can be infectious and also may develop a multi-drug resistant TB (MDR-TB). The study aimed to assess whether LTFU differs by the distance TB patients travelled to receive care from the nearest health facility.Methods: A total of 402 patient cards of TB patients who received care were reviewed from March 1-30, 2020. The Kaplan-Meir curve with the Log-rank test was used to compare differences in LTFU by the distance travelled to reach to the nearest health facility for TB care. The Cox proportional hazard regression model was used to identify predictors. All statistical tests are declared significant at a p-value< 0.05.Results: A total of 37 patients were LTFU with the incidence rate of 11.26 per 1000 person-months of observations (PMOs) (95% CI: 8.15-15.53). The incidence rate ratio was 12.19 (95% CI: 5.01-35.73) among the groups compared (those who travelled 10 km or more versus those who travelled less than 10 km). Age ≥ 45 years (aHR = 7.71, 95% CI: 1.72, 34.50), educational status (primary schooling, aHR = 3.54, 95% CI: 1.49, 8.40; secondary schooling, aHR = 2.75, 95% CI: 1.08, 7.03), lack of family support (aHR = 2.80, 95% CI: 1.27, 6.19), nutritional support (aHR = 3.40, 95% CI:1.68, 6.89), ≥ 10 km distance to travel to a health facility (aHR = 6.06, 95% CI: 2.33, 15.81) had significantly predicted LTFU from TB treatment and care.Conclusions: LTFU from adult TB care and treatment was 12 times higher among those who travelled ≥10 km to reach a health facility compared to those who travelled less. To retain adult TB patients in care and ensure appropriate treatment, health professionals and other stakeholders should give due attention to the factors that drive LTFU. We suggest identifying concerns of older patients at admission and those who travel long distance and establish social support platforms that could help people to complete TB treatment. [ABSTRACT FROM AUTHOR]

Access to HIV anti-retroviral treatment (ART) has significantly improved survival and the quality of life of people living with HIV (PLHIV). However, effective therapy necessitates high adherence to ART. The aim of this study was to identify the extent to which PLHIV in Israel were not retained in therapy and their obstacles to accessing care. The Department of Tuberculosis and AIDS (DTA) and the two existing HIV clinics in the Tel-Aviv metropolitan area performed a retrospective study for all PLHIV who were consulted at these clinics during 2008–2011, but were absent in 2012. From that population, 25% were randomly chosen for qualitative interviews. This study included 278 PLHIV not retained in care (13.4% of registered patients), of whom 194 (69.8%) were male, and 58.3% were Israeli citizens. Total number of clinic visits was 1959 (mean: 7.05 visits per patient; range: 1–39; SD: ±7.2) and the total person-years of follow-up for 267 PLHIV was 1,044 (mean: 3.9 py; 0–23; SD: ±4.4). Identified risk groups were: Originating from Generalized Epidemic countries (43.5%, 82.6% were non-Israelis); Men having Sex with Men (22.6%); Injecting Drug Users (12.9%) and Others (28.9%). Among Israelis, major reasons for clinic nonattendance included distance to the clinics and perceived lack of time. The major impediment to seeking care among undocumented migrants was lack of medical insurance. The DTA acted swiftly to make HIV-related services accessible to undocumented migrants. Barriers described by Israeli participants were generally more individual in nature, and should be addressed at the clinic level. [ABSTRACT FROM AUTHOR]

Objectives: Efforts to achieve zero transmission of HIV to infants born to women living with HIV in sub‐Saharan African are undermined by high rates of loss to follow‐up in prevention of vertical transmission (PVT) programmes. The fear of HIV status disclosure through the discovery of pill bottles at home is a major contributor. Injectable antiretroviral therapy (ART) has proved to be efficacious in clinical trials and is discreet, offering a potential solution. We investigated the knowledge and willingness to use injectable ART among women who were lost to follow‐up from the PVT programme in Uganda. Methods: Women were traced by nurse counsellors and knowledge and opinions relating to injectable ART, including willingness to use it when it becomes available, were collected. Generalized linear models were used to determine predictors of willingness to use injectable ART. Conclusions: Among 1023 women registered between 2017 and 2019 under the PVT programmes in Kampala and Wakiso districts, Uganda, 385 (38%) were lost to follow‐up from care and 22% of these (83/385) were successfully traced and interviewed. Only 25% (21/83) had heard of injectable ART. Over half (55%, 46/83) were very willing to use injectable ART, 40% (33/83) were somewhat willing and four (5%) were not willing. Those who associated ART tablets with disclosure risk were more willing to consider injectable ART (adjusted odds ratio = 4.21; 95% confidence interval: 1.45–12.19; p = 0.008). We report high willingness to use injectable ART associated with fears that ART tablets were a potential source of HIV status disclosure. Injectable ART could be a solution for women who have challenges with disclosure. [ABSTRACT FROM AUTHOR]

Background: The increased risk of loss to follow-up among TB smokers raises concern over the secondary spread within the community. This study aimed to determine the factors associated with loss to follow-up among TB patients who smoke.Methods: All registered TB patients who smoke in the state of Selangor between 2013 and 2017 via the Malaysian Tuberculosis Information System (MyTB) database were included for analysis. TB patients who smoke were considered those who are "current smoker" during the notification, while loss to follow-up was defined as a TB patient who had interrupted treatment for 2 months or longer. There were 3 main variable domains included for analysis: sociodemographic profiles, disease profiles, and comorbidities. Logistic regression analysis was used to identify determinants of loss to follow-up among TB patients who smoke.Results: A total of 14.1% (N = 813) of TB patients who smoke loss to follow-up. The determinants of loss to follow-up among TB smokers were working age population aged 32-41 and 42-53 years old (AOR 1.08; 95%CI 1.23,2.08) and (AOR 1.44; 95%CI 1.11,1.87) respectively, Malaysian nationality (AOR 2.34; 95%CI 1.66,3.30), patients staying in urban area (AOR 1.55; 95% CI 1.23,1.97), income level less than RM2160 (AOR 1.59; 95% CI 1.14,2.20), un-employed (AOR 1.30; 95%CI 1.09-1.55), have low education level i.e., secondary school education, primary school education and no formal education (AOR 1.60; 95%CI 1.22,2.10), (AOR 1.73; 95%CI 1.16,2.57) and (AOR 2.29; 95% CI 1.57,3.33) respectively, previously treated TB cases (AOR 2.19; 95% CI 1.71,2.81), active TB case detection methods (AOR 2.06; 95%CI 1.40,3.02), moderate lesion x-ray (AOR 1.60; 95%CI 1.13,2.27) and HIV positive (AOR 1.36; 95%CI 1.02,1.82). All the significant factors gave rise to the final model of determinants, with a predictability of 67.2% (95% CI 65.0,69.3).Conclusions: The high proportion of loss to follow-up among TB patients who smoke highlight the importance of providing early risk detection that examines the three main domains of risk factors such as socioeconomic, disease profiles and comorbidities. Potential integrated intervention should aim to reduce the proportion of smoking among TB patients through the stop smoking programme together with directly observed therapy (DOT). [ABSTRACT FROM AUTHOR]

We explored the predictors and predictive models of loss to follow-up (LTFU) during the first year of anti-retroviral therapy (ART). LTFU was defined as the failure to visit the clinic for antiretroviral drugs for ≥ 90 days after the last missed scheduled visit. Based on the electronic medical records of 5953 patients who were HIV positive and began ART between 2016 and 2019 in China, the LTFU rate was 7.24 (95% confidence interval 6.49–7.97) per 100 person-years during the first year of ART. ART baseline factors were associated with LTFU, but were non-optimal predictors. A model including ART process-related factors such as follow-up behaviors and physical health status had an area under the receiver operating characteristic curve of 73.4% for predicting LTFU. Therefore, the medical records of follow-up visits can be used to identify patients with a high risk of LTFU and allow interventions to be implemented proactively. [ABSTRACT FROM AUTHOR]

Abstract Background Researchers developing prediction models are faced with numerous design choices that may impact model performance. One key decision is how to include patients who are lost to follow-up. In this paper we perform a large-scale empirical evaluation investigating the impact of this decision. In addition, we aim to provide guidelines for how to deal with loss to follow-up. Methods We generate a partially synthetic dataset with complete follow-up and simulate loss to follow-up based either on random selection or on selection based on comorbidity. In addition to our synthetic data study we investigate 21 real-world data prediction problems. We compare four simple strategies for developing models when using a cohort design that encounters loss to follow-up. Three strategies employ a binary classifier with data that: (1) include all patients (including those lost to follow-up), (2) exclude all patients lost to follow-up or (3) only exclude patients lost to follow-up who do not have the outcome before being lost to follow-up. The fourth strategy uses a survival model with data that include all patients. We empirically evaluate the discrimination and calibration performance. Results The partially synthetic data study results show that excluding patients who are lost to follow-up can introduce bias when loss to follow-up is common and does not occur at random. However, when loss to follow-up was completely at random, the choice of addressing it had negligible impact on model discrimination performance. Our empirical real-world data results showed that the four design choices investigated to deal with loss to follow-up resulted in comparable performance when the time-at-risk was 1-year but demonstrated differential bias when we looked into 3-year time-at-risk. Removing patients who are lost to follow-up before experiencing the outcome but keeping patients who are lost to follow-up after the outcome can bias a model and should be avoided. Conclusion Based on this study we therefore recommend (1) developing models using data that includes patients that are lost to follow-up and (2) evaluate the discrimination and calibration of models twice: on a test set including patients lost to follow-up and a test set excluding patients lost to follow-up.

Abstract Background Monitoring patient’s clinical attendance is a crucial means of improving retention in care and treatment programmes. Sickle cell patients’ outcomes are improved by participation in comprehensive care programmes, but these benefits cannot be achieved when patients are lost from clinical care. In this study, patients are defined as loss to follow-up when they did not attend clinic for more than 9 months. Precise information on the retention rate and characteristics of those who are not following their clinic appointments is needed to enable the implementation of interventions that will be effective in increasing the retention to care. Method This was a retrospective study involving sickle cell patients registered in the Muhimbili Sickle Cohort in Tanzania. Descriptive and survival analysis techniques both non-parametric methods (Kaplan-Meier estimator and Log-rank test) and semi-parametric method (Cox’s proportional hazard model), were used. A p-value of 0.05 was considered significant to make an inference from the analysis. Results A total of 5476 patients were registered in the cohort from 2004 to 2016. Of these, 3350 (58.13%) were actively participating in clinics, while 2126 (41.87%) were inactive, of which 1927 (35.19%) were loss to follow-up. We used data from 2004 to 2014 because between 2015 and 2016, patients were referred to other government hospitals. From the survival analysis results, pediatric (HR: 14.29,95% CI: 11.0071–18.5768, p

Youth are particularly vulnerable to acquiring HIV, yet reaching them with HIV prevention interventions and engaging and retaining those infected in care and treatment remains a challenge. We sought to determine the incidence rate of loss to follow-up (LTFU) and explore socio-demographic and clinical characteristics associated with LTFU among HIV-positive youth aged 15-21 years accessing outpatient care and treatment clinics in Kisumu, Kenya. Between July 2007 and September 2010, youth were enrolled into two different HIV care and treatment clinics, one youth specific and the other family oriented. An individual was defined as LTFU when absent from the HIV treatment clinic for ≥ 4 months regardless of their antiretroviral treatment status. The incidence rate of LTFU was calculated and Cox regression analysis used to identify factors associated with LTFU. A total of 924 youth (79% female) were enrolled, with a median age of 20 years (IQR 18-21). Over half, (529 (57%)), were documented as LTFU, of whom 139 (26%) were LTFU immediately after enrolment. The overall incidence rate of LTFU was 52.9 per 100 person-years (p-y). Factors associated with LTFU were pregnancy during the study period (crude HR 0.68, 95% CI 0.53-0.89); CD4 cell count >350 (adjusted hazard ratios (AHR) 0.59, 95% CI 0.39-0.90); not being on antiretroviral therapy (AHR 4.0, 95% CI 2.70-5.88); and non-disclosure of HIV infection status (AHR 1.43, 95% CI 1.10-1.89). The clinic of enrolment, age, marital status, employment status, WHO clinical disease stage and education level were not associated with LTFU. Interventions to identify and enrol youth into care earlier, support disclosure, and initiate ART earlier may improve retention of youth and need further investigation. Further research is also needed to explore the reasons for LTFU from care among HIV-infected youth and the true outcomes of these patients.

BackgroundImproving the implementation of the global response to human immunodeficiency virus requires understanding retention after starting antiretroviral therapy (ART), but loss to follow-up undermines assessment of the magnitude of and reasons for stopping care.MethodsWe evaluated adults starting ART over 2.5 years in 14 clinics in Uganda, Tanzania, and Kenya. We traced a random sample of patients lost to follow-up and incorporated updated information in weighted competing risks estimates of retention. Reasons for nonreturn were surveyed.ResultsAmong 18 081 patients, 3150 (18%) were lost to follow-up and 579 (18%) were traced. Of 497 (86%) with ascertained vital status, 340 (69%) were alive and, in 278 (82%) cases, updated care status was obtained. Among all patients initiating ART, weighted estimates incorporating tracing outcomes found that 2 years after ART, 69% were in care at their original clinic, 14% transferred (4% official and 10% unofficial), 6% were alive but out of care, 6% died in care (

ObjectiveEngagement in care is key to successful HIV treatment in resource-limited settings; yet little is known about the magnitude and determinants of reengagement among patients out of care. We assessed patient-reported reasons for not returning to clinic, identified latent variables underlying these reasons, and examined their influence on subsequent care reengagement.DesignWe used data from the East Africa International Epidemiologic Databases to Evaluate AIDS to identify a cohort of patients disengaged from care (>3 months late for last appointment, reporting no HIV care in preceding 3 months) (n = 430) who were interviewed about reasons why they stopped care. Among the 399 patients for whom follow-up data were available, 104 returned to clinic within a median observation time of 273 days (interquartile range: 165-325).MethodsWe conducted exploratory and confirmatory factor analyses (EFA, CFA) to identify latent variables underlying patient-reported reasons, then used these factors as predictors of time to clinic return in adjusted Cox regression models.ResultsEFA and CFA findings suggested a six-factor structure that lent coherence to the range of barriers and motivations underlying care disengagement, including poverty, transport costs, and interference with work responsibilities; health system 'failures,' including poor treatment by providers; fearing disclosure of HIV status; feeling healthy; and treatment fatigue/seeking spiritual alternatives to medicine. Factors related to poverty and poor treatment predicted higher rate of return to clinic, whereas the treatment fatigue factor was suggestive of a reduced rate of return.ConclusionCertain barriers to reengagement appear easier to overcome than factors such as treatment fatigue. Further research will be needed to identify the easiest, least expensive interventions to reengage patients lost to HIV care systems. Interpersonal interventions may continue to play an important role in addressing psychological barriers to retention.