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Exposure to urban greenspaces has been linked to improved health outcomes for prevalent conditions. Studies have observed traditional block greenspaces, whereas linear trail systems could maximise health impacts by reaching greater population percentages. We assessed the temporal effects of linear greenspace exposure on health by examining the impact of the Bayou Greenways (BGs) linear trail implementation on health conditions and hospitalisations. We retrospectively analysed inpatient hospitalisation records for Harris County, Texas, from 2015–2019. Thirteen health conditions were explored with hospital admission rates per zip code as the primary outcome. Primary exposure variables were attributes of the BGs interconnected trail system: access duration, ten-minute walk proximity, and access point density. Models were evaluated to assess associations between admission rates in zip codes with and without BGs. Unadjusted analyses for zip codes with high access to trails had reduced odds of admission for obesity (OR, 95%CI: 0.18, 0.10–0.30), ischaemic heart disease (IHD; OR, 95%CI: 0.56, 0.34–0.93), and acute myocardial infarction (AMI; OR, 95%CI: 0.59, 0.37–0.94). Zip codes with >30% of the population within a ten-minute walk showed significant reduction in odds of hospital admission for obesity, (OR, 95%CI: 0.07, 0.03-0.17), IHD (OR, 95%CI: 0.23, 0.12–0.44), and AMI (OR, 95%CI: 0.29, 0.14–0.62). Analysis of socio-economic status (SES) demonstrated that low income and less densely populated areas showed increased admissions for obesity, IHD, AMI, and all-cause hospitalisations. Access to trails may be important in lower SES areas. These findings can inform public policy to integrate greenspace to support healthier communities.

In cardiac and orthopedic surgery, elevated glycosylated hemoglobin (HbA1c) is a modifiable risk factor for postoperative complications. However, in bariatric surgery, there is insufficient evidence to assess the effectiveness of preoperative HbA1c assessment and its association with postoperative complications. The objective of this study was to assess the impact of HbA1c on early postoperative outcomes in bariatric surgery patients.Patients who underwent laparoscopic sleeve gastrectomy and laparoscopic Roux-En-Y Gastric Bypass between 2017 and 2018 were selected for a retrospective review from the metabolic and bariatric surgery accreditation and quality improvement program (MBSAQIP) database. The study population of 118,742 patients was analyzed for our primary outcome which was defined as a composite of any postoperative complications occurring within 30 days. Two groups were defined by HbA1c cutoff: comparison point A (≤ 8% vs 8%) and comparison point B (≤ 10% vs 10%). Procedure-related complications were also examined on subgroup analysis. Propensity score matching (PSM) was used with one-to-one matching. The complication rates before and after PSM were calculated and assessed by Fisher's exact test and conditional logistic regression, respectively.After PSM, demographic and clinical characteristics were all balanced and elevated HbA1C was not associated with worse outcomes. After adjusting for underlying comorbidities, there was no statistically significant difference seen in the composite outcome for comparison point A HbA1C ≤ 8 and HbA1C 8 (p = 0.22). For comparison point B, patients with HbA1C ≤ 10 had more composite complications compared to patients with HbA1C 10 (p 0.001). Also, on subgroup analysis after PSM for procedure-specific complications, patients above the cutoff threshold of 8 did not have worsened composite outcomes (p = 0.58 and 0.89 for sleeve and bypass, respectively). Again, at cutoff threshold of 10, patients in HbA1C ≤ 10 had more composite complications (p = 0.001 and 0.007 for sleeve and bypass, respectively).In this study of bariatric patients, elevated HbA1c 8% or 10% was not associated with increased postoperative complications. HbA1c lower than 10% was associated with some types of adverse outcomes in this bariatric dataset. More studies are needed to investigate these findings further. A high HbA1c alone may not disqualify a patient from proceeding with bariatric surgery.

Background The use of mobile health (mHealth) technologies has dramatically increased in the past year. A critical component in the discussion about telehealth and mHealth technologies is the importance of integrating the voices of patients, caregivers, and their clinicians. Methods This study was performed at a tertiary center in Houston consisting of 7 hospitals (1 academic and 6 community hospitals). The clinically integrated mHealth technology consisted of a mHealth education and monitoring platform that used patient-centered emails and text messages over a 50-day period, from prior to the orthopaedic total joint replacement surgery to posthospital discharge to provide education and health monitoring at home. Study participants included patients who were scheduled for total joint replacement surgery between July 2018 and November 2019, and their caregivers. The study involved two components: (1) focus group study (n = 15); split into two groups of participants who had not used the mHealth technology (α-testing during the design phase, prior to implementation); and (2) a content analysis of 377 free-text comments from patients who used the mHealth technology, and who responded to questions about their use of the mHealth platform (β-testing; after implementation, during the execution phase). Thematic analyses methods were used. Results Three key themes emerged during the design phase including: (1) monitoring, bidirectional questions asking patients to respond to a question can feel invasive and/or annoying unless framed in a reciprocal, contextual-based way; (2) text messages should be used selectively for time-sensitive, critical information; and (3) information should be contained within the body of the message. Three themes emerged during the execution phase include: (1) the content should be divided into small, digestible chunks at the times that patients need that information; (2) the tone of the messages should be approachable and friendly, as opposed to detached and professional; and (3) mHealth technologies make patients calmer and more confident and less inclined to draw on hospital personnel, enabling patients to be managed by the automated program without escalating to human care. Limited, bidirectional engagement can foster interactivity and patient monitoring without becoming excessive or burdensome to health care professionals. Conclusion The use of mHealth for patient care is likely to be more effective and used in this multihospital mHealth technology study of patients undergoing orthopaedic surgery, if they are clinically integrated with staff who can respond to escalated problems as needed, to enable better adoption, uptake, and sustainability of technology.

This study evaluated the utility and performance of the LACE index and HOSPITAL score with consideration of the type of diagnoses and assessed the accuracy of these models for predicting readmission risks in patient cohorts from 2 large academic medical centers. Admissions to 2 hospitals from 2011 to 2015, derived from the Vizient Clinical Data Base and regional health information exchange, were included in this study (291 886 encounters). Models were assessed using Bayesian information criterion and area under the receiver operating characteristic curve. They were compared in CMS diagnosis-based cohorts and in 2 non-CMS cancer diagnosis-based cohorts. Overall, both models for readmission risk performed well, with LACE performing slightly better (area under the receiver operating characteristic curve 0.73 versus 0.69; P ≤ 0.001). HOSPITAL consistently outperformed LACE among 4 CMS target diagnoses, lung cancer, and colon cancer. Both LACE and HOSPITAL predict readmission risks well in the overall population, but performance varies by salient, diagnosis-based risk factors.

Purpose The purpose of this study is to describe a novel computerized diabetes education tool and explore factors influencing self-selection and use among primarily Hispanic patients diagnosed with type 2 diabetes in south Texas. Methods Study participants included 953 adult patients with type 2 diabetes enrolled in a diabetes education program between July 1, 2016, and June 30, 2017. Participants were asked to choose either a new technology-based diabetes education tool with a touch-screen device or a traditional face-to-face education method. Multivariate logistic regression analysis was applied to identify factors associated with adopting the computerized diabetes education tool among the patients. Results When comparing technology-based tool adopters and nonadopters, several demographic and health-related factors differentiated technology use in bivariate analyses. The multivariate logistic regression model showed that Hispanic patients were less likely to choose a technology-based tool. Patients who perceived their health status as excellent/good were more likely to adopt the technologic education method than those with fair/poor perceived health status. A1C level was negatively associated with self-selection of technology. Conclusions Specific demographic and health-related characteristics are significant contributing factors to patients’ adoption of a technology-based diabetes education tool. Health care providers can utilize these findings to target and refer specific patients to a computerized diabetes education tool for more effective diabetes care and to optimize technology adoption success.

This manuscript provides an overview of our efforts to implement an integrated electronic monitoring and feedback platform to increase patient engagement, improve care delivery and outcome of treatment, and alert care teams to deterioration in functioning. Patients First utilizes CareSense, a digital care navigation and data collection system, to integrate traditional patient-reported outcomes monitoring with novel biological monitoring between visits to provide patients and caregivers with real-time feedback on changes in symptoms such as stress, anxiety, and depression. The next stage of project development incorporates digital therapeutics (computerized therapeutic interventions) for patients, and video resources for primary care physicians and nurse practitioners who serve as the de facto front line for psychiatric care. Integration of the patient-reported outcomes monitoring with continuous biological monitoring, and digital supports is a novel application of existing technologies. Video resources pushed to care providers whose patients trigger a symptom severity alert is, to our knowledge, an industry first.

Orthotopic heart transplantation (OHT) is contraindicated in morbidly obese patients with end-stage heart failure (HF), for whom cardiac allograft is the only means for long-term survival. Bariatric surgery may allow them to achieve target body mass index (BMI) for OHT METHODS: From 4/2014 to 12/2018, 26 morbidly obese HF patients who did not meet BMI eligibility criteria for OHT underwent laparoscopic bariatric surgery. Outcomes of interest were median difference in BMI, number of patients achieving target BMI for OHT, and 30-day mortality.Median age was 49 (IQR 14) years, and 13 (50%) were women. HF was mainly systolic (15 patients, 58%). The median LVEF was 27% (IQR 37%). At the time of bariatric surgery, 12 (46%) patients had mechanical circulatory support: 2 (8%) concomitant left ventricular assist device (LVAD) placements, 8 (31%) LVAD already-in-place, and 2 (8%) intra-aortic balloon pumps. There was no 30-day mortality, but one mortality on postoperative day 48. Over a median follow-up of 6 months (range 0-36 months, IQR 17), there was a significant reduction in BMI (p0.0001). The median postoperative BMI was 36.7 (IQR 8.7), compared to preoperative median BMI of 42.7 (IQR 9.4). Target BMI of35 was achieved in 11 (42%) patients. Three patients (12%) have undergone OHT.Bariatric surgery in end-stage HF is feasible and results in a high number of patients achieving target BMI, increasing their probability of undergoing OHT. The presence of a LVAD should not preclude these patients from undergoing a bariatric intervention.

ObjectivePast literature establishes high prevalence of burn-out among intensive care unit (ICU) nurses, and the influence of the COVID-19 pandemic in intensifying burn-out. However, the specific pandemic-related contributors and practical approaches to address burn-out have not been thoroughly explored. To address this gap, this work focuses on investigating the effect of the COVID-19 pandemic on the burn-out experiences of ICU nurses and identifying practical approaches for burn-out mitigation.DesignSemistructured focus group interviews were conducted via convenience sampling and qualitatively analysed to identify burn-out contributors and mitigators. Maslach Burnout Inventory for Medical Personnel (MBI-MP) and Post-traumatic Stress Disorder Checklist (PCL-5) were employed to quantify the prevalence of burn-out of the participants at the time of study.SettingTwo ICUs designated as COVID-19 ICUs in a large metropolitan tertiary care hospital in the Greater Houston area (Texas, USA).ParticipantsTwenty registered ICU nurses (10 from each unit).ResultsParticipants experienced high emotional exhaustion (MBI-MP mean score 32.35, SD 10.66), moderate depersonalisation (M 9.75, SD 7.10) and moderate personal achievement (M 32.05, SD 7.59) during the pandemic. Ten out of the 20 participants exhibited post-traumatic stress disorder symptoms (PCL-5 score >33). Regarding contributors to burn-out in nurses during the pandemic, five thematic levels emerged—personal, patient related, coworker related, organisational and societal—with each factor comprising several subthemes (eg, emotional detachment from patients, constant need to justify motives to patients’ family, lack of staffing and resources, and politicisation of COVID-19 and vaccination). Participants revealed several practical interventions to help overcome burn-out, ranging from mental health coverage to educating public on the severity of the pandemic and importance of vaccination.ConclusionsBy identifying the contributors to burn-out in ICU nurses at a systems level, the study findings inform the design and implementation of effective interventions to prevent or mitigate pandemic-related burn-out among nurses.

This study fills a void in the literature by both validating images of nature for use in future research experiments and examining which characteristics of these visual stimuli are found to be most representative of nature. We utilized a convenience sample of university students to assess 129 different nature images on which best represented nature. Participants (n = 40) viewed one image per question (n = 129) and were asked to rate images using a 5-point Likert scale, with the anchors “best represents nature” (5) and “least represents nature” (1). Average ratings across participants were calculated for each image. Canopies, mountains, bodies of water, and unnatural elements were identified as semantic categories of interest, as well as atmospheric perspectives and close-range views. We conducted the ordinary least squares (OLS) regression and the ordered logistic regression analyses to identify semantic categories highly representative of nature, controlling for the presence/absence of other semantic categories. The results showed that canopies, bodies of water, and mountains were found to be highly representative of nature, whereas unnatural elements and close-range views were inversely related. Understanding semantic categories most representative of nature is useful in developing nature-centered interventions in behavioral performance research and other neuroimaging modalities. All images are housed in an online repository and we welcome the use of the final 10 highly representative nature images by other researchers, which will hopefully prompt and expedite future examinations of nature across multiple research formats.

Highlights • Social determinants of health may improve identification of atherosclerotic cardiovascular disease – beyond traditional risk factors. • We provide the first, validated, polysocial risk score – the PsRS – for atherosclerotic cardiovascular disease. • PsRS is a robust tool to quantify cumulative social disadvantage. • PsRS offers unique opportunities to improve cardiovascular risk prediction algorithms. • Our findings may help highlight, and address disparities in cardiovascular disease., Objective To date, the extent to which social determinants of health (SDOH) may help identify individuals with atherosclerotic cardiovascular disease (ASCVD) – beyond traditional risk factors – has not been quantified using a cumulative social disadvantage approach. The objective of this study was to develop, and validate, a polysocial risk score (PsRS) for prevalent ASCVD in a nationally representative sample of adults in the United States (US). Methods We used data from the 2013–2017 National Health Interview Survey. A total of 38 SDOH were identified from the database. Stepwise and criterion-based selection approaches were applied to derive PsRS, after adjusting for traditional risk factors. Logistic regression models were fitted to assign risk scores to individual SDOH, based on relative effect size magnitudes. PsRS was calculated by summing risk scores for individual SDOH, for each participant; and validated using a separate validation cohort. Results Final sample comprised 164,696 adults. PsRS included 7 SDOH: unemployment, inability to pay medical bills, low income, psychological distress, delayed care due to lack of transport, food insecurity, and less than high school education. PsRS ranged from 0–20 and exhibited excellent calibration and discrimination. Individuals with the highest PsRS (5th quintile) had nearly 4-fold higher ASCVD prevalence, relative to those with the lowest risk scores (1st quintile). Area under receiver operating curve (AU-ROC) for PsRS with SDOH alone was 0.836. Addition of SDOH to the model with only demographic and clinical risk factors (AU-ROC=0.852) improved overall discriminatory power, with AU-ROC for final PsRS (demographics + clinical + SDOH) = 0.862. Conclusions Cumulatively, SDOH may help identify individuals with ASCVD, beyond traditional cardiovascular risk factors. In this study, we provide a unique validated PsRS for ASCVD in a national sample of US adults. Future study should target development of similar scores in diverse populations, and incorporate longitudinal study designs.

Background: Medication nonadherence is associated with worse outcomes in patients with atherosclerotic cardiovascular disease (ASCVD), a group who requires long-term therapy for secondary prevention. It is important to understand to what extent drug costs, which are potentially actionable factors, contribute to medication nonadherence. Methods: In a nationally representative survey of US adults in the National Health Interview Survey (2013–2017), we identified individuals ≥18 years with a reported history of ASCVD. Participants were considered to have experienced cost-related nonadherence (CRN) if in the preceding 12 months they reported skipping doses to save money, taking less medication to save money, or delaying filling a prescription to save money. We used survey analysis to obtain national estimates. Results: Of the 14 279 surveyed individuals with ASCVD, a weighted 12.6% (or 2.2 million [95% CI, 2.1–2.4]) experienced CRN, including 8.6% or 1.5 million missing doses, 8.8% or 1.6 million taking lower than prescribed doses, and 10.5% or 1.9 million intentionally delaying a medication fill to save costs. Age 1 in 5 reporting CRN in these subgroups. Survey respondents with CRN compared with those without CRN had 10.8-fold higher odds of requesting low-cost medications and 8.9-fold higher odds of using alternative, nonprescription, therapies. Conclusions: One in 8 patients with ASCVD reports nonadherence to medications because of cost. The removal of financial barriers to accessing medications, particularly among vulnerable patient groups, may help improve adherence to essential therapy to reduce ASCVD morbidity and mortality.

Background: Workplace wellness programs have been widely implemented to promote employee health outcomes and reduce health costs. However, little is known about how designs of wellness prog...

We sought to examine the role of social and environmental conditions that determine an individual’s behaviors and risk of disease—collectively known as social determinants of health (SDOH)—in shaping cardiovascular (CV) health of the population and giving rise to disparities in risk factors, outcomes, and clinical care for cardiovascular disease (CVD), the leading cause of death in the United States (US). Traditional CV risk factors have been extensively targeted in existing CVD prevention and management paradigms, often with little attention to SDOH. Limited evidence suggests an association between individual SDOH (e.g., income, education) and CVD. However, inequities in CVD care, risk factors, and outcomes have not been studied using a broad SDOH framework. We examined existing evidence of the association between SDOH—organized into 6 domains, including economic stability, education, food, neighborhood and physical environment, healthcare system, and community and social context—and CVD. Greater social adversity, defined by adverse SDOH, was linked to higher burden of CVD risk factors and poor outcomes, such as stroke, myocardial infarction (MI), coronary heart disease, heart failure, and mortality. Conversely, favorable social conditions had protective effects on CVD. Upstream SDOH interact across domains to produce cumulative downstream effects on CV health, via multiple physiologic and behavioral pathways. SDOH are major drivers of sociodemographic disparities in CVD, with a disproportionate impact on socially disadvantaged populations. Efforts to achieve health equity should take into account the structural, institutional, and environmental barriers to optimum CV health in marginalized populations. In this review, we highlight major knowledge gaps for each SDOH domain and propose a set of actionable recommendations to inform CVD care, ensure equitable distribution of healthcare resources, and reduce observed disparities.

Background Disparate racial/ethnic burdens of the Coronavirus Disease 2019 (COVID-19) pandemic may be attributable to higher susceptibility to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) or to factors such as differences in hospitalization and care provision. Methods In our cross-sectional analysis of lab-confirmed COVID-19 cases from a tertiary, eight-hospital healthcare system across greater Houston, multivariable logistic regression models were fitted to evaluate hospitalization and mortality odds for non-Hispanic Blacks (NHBs) vs. non-Hispanic Whites (NHWs) and Hispanics vs. non-Hispanics. Results Between March 3rd and July 18th, 2020, 70,496 individuals were tested for SARS-CoV-2; 12,084 (17.1%) tested positive, of whom 3536 (29.3%) were hospitalized. Among positive cases, NHBs and Hispanics were significantly younger than NHWs and Hispanics, respectively (mean age NHBs vs. NHWs: 46.0 vs. 51.7 years; p p p p p = 0.001). Both minority groups resided in lower median income (median income [USD]; NHBs vs. NHWs: 63,489 vs. 75,793; p p p p Conclusions Our data did not demonstrate racial and ethnic differences in care provision and hospital outcomes. Higher susceptibility of racial and ethnic minorities to SARS-CoV-2 and subsequent hospitalization may be driven primarily by social determinants.

Background: Social determinants of health (SDOH) may limit the practice of coronavirus disease 2019 (COVID-19) risk mitigation guidelines with health implications for individuals with underlying cardiovascular disease (CVD). Population-based evidence of the association between SDOH and practicing such mitigation strategies in adults with CVD is lacking. We used the National Opinion Research Center’s COVID-19 Household Impact Survey conducted between April and June 2020 to evaluate sociodemographic disparities in adherence to COVID-19 risk mitigation measures in a sample of respondents with underlying CVD representing 18 geographic areas of the United States. Methods: CVD status was ascertained by self-reported history of receiving heart disease, heart attack, or stroke diagnosis. We built de novo, a cumulative index of SDOH burden using education, insurance, economic stability, 30-day food security, urbanicity, neighborhood quality, and integration. We described the practice of measures under the broad strategies of personal protection (mask, hand hygiene, and physical distancing), social distancing (avoiding crowds, restaurants, social activities, and high-risk contact), and work flexibility (work from home, canceling/postponing work). We reported prevalence ratios and 95% CIs for the association between SDOH burden (quartiles of cumulative indices) and practicing these measures adjusting for age, sex, race/ethnicity, comorbidity, and interview wave. Results: Two thousand thirty-six of 25 269 (7.0%) adults, representing 8.69 million in 18 geographic areas of the United States, reported underlying CVD. Compared with the least SDOH burden, fewer individuals with the greatest SDOH burden practiced all personal protection (75.6% versus 89.0%) and social distancing measures (41.9% versus 58.9%) and had any flexible work schedule (26.2% versus 41.4%). These associations remained statistically significant after full adjustment: personal protection (prevalence ratio, 0.83 [95% CI, 0.73–0.96]; P =0.009), social distancing (prevalence ratio, 0.69 [95% CI, 0.51–0.94]; P =0.018), and work flexibility (prevalence ratio, 0.53 [95% CI, 0.36–0.79]; P =0.002). Conclusions: SDOH burden is associated with lower COVID-19 risk mitigation practices in the CVD population. Identifying and prioritizing individuals whose medical vulnerability is compounded by social adversity may optimize emerging preventive efforts, including vaccination guidelines.

Severe obesity can increase risk of complications after kidney transplantation. There is a paucity of literature on bariatric surgery outcomes in renal transplant candidates. The objective of this study was to analyze outcomes of bariatric surgery as a weight reduction strategy for patients with kidney failure to enhance eligibility for kidney transplantation. We performed a retrospective analysis of the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program database at a single institution for patients with chronic kidney disease receiving hemodialysis therapy (CKD G5D) undergoing bariatric surgery between 2011 and 2018. Of 2363 patients who underwent bariatric surgery, 38 (1.6%) had CKD G5D; median age (range) was 49 years (33; 69), 52.6% were female, and mean BMI was 44.2 kg/m2. Twenty-four patients underwent laparoscopic Roux-en-Y gastric bypass (LRYGB), and 14 patients underwent laparoscopic sleeve gastrectomy. Seventeen patients (46%, n=37) had a BMI≤35 at 6 months, while 25 patients (75.8%, n=33) achieved a BMI≤35 at 12 months. Of these, 18 patients (47%) were listed for kidney transplant, and 8 patients (21%) received kidney transplant. There was no statistically significant difference between sleeve and LRYGB procedures in patients who reached BMI of 35 at 12 months (P=0.58). Median length of stay was 2.3 days. Thirty-day readmission rate was 2 patients (5.3%), and 2 patients (5.3%) required reoperation (one for bleeding, one for acute recurrent hiatal hernia). No mortality occurred. Laparoscopic bariatric surgery offers effective weight loss for CKD G5D patients to achieve transplant eligibility with acceptable outcomes.

Background Diabetes mellitus affects almost 10% of U.S. adults, leading to human and financial burden. Underserved populations experience a higher risk of diabetes and related complications resulting from a combination of limited disposable income, inadequate diet, and lack of insurance coverage. Without the requisite resources, underserved populations lack the ability to access healthcare and afford prescription drugs to manage their condition. The aim of this systematic review is to synthesize the findings from cost-effectiveness studies of diabetes management in underserved populations. Methods Original, English, peer-reviewed cost-effectiveness studies of diabetes management in U.S. underserved populations were obtained from 8 databases, and PRISMA 2009 reporting guidelines were followed. Evidence was categorized as strong or weak based on a combination of GRADE and American Diabetes Association guidelines. Internal validity was assessed by the Cochrane methodology. Studies were classified by incremental cost-effectiveness ratio as very cost-effective (ICER≤US$25,000), cost-effective (US$25,000US$100,000). Reporting and quality of economic evaluations was assessed using the CHEERS guidelines and Recommendations of Second Panel for Cost-Effectiveness in Health and Medicine, respectively. Findings Fourteen studies were included. All interventions were found to be cost-effective or very cost-effective. None of the studies reported all 24 points of the CHEERS guidelines. Given the considered cost categories vary significantly between studies, assessing cost-effectiveness across studies has many limitations. Program costs were consistently analyzed, and a third of the included studies (n = 5) only examined these costs, without considering other costs of diabetes care. Interpretation Cost-effectiveness studies are not based on a standardized methodology and present incomplete or limited analyses. More accurate assessment of all direct and indirect costs could widen the gap between intervention and usual care. This demonstrates the urgent need for a more standardized and comprehensive cost-effectiveness framework for future studies.

Introduction Sex is increasingly recognized as an important factor in the epidemiology and outcome of many diseases. This also appears to hold for coronavirus disease 2019 (COVID-19). Evidence from China and Europe has suggested that mortality from COVID-19 infection is higher in men than women, but evidence from US populations is lacking. Utilizing data from a large healthcare provider, we determined if males, as compared to females have a higher likelihood of SARS-CoV-2 susceptibility, and if among the hospitalized COVID-19 patients, male sex is independently associated with COVID-19 severity and poor in-hospital outcomes. Methods and findings Using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines, we conducted a cross-sectional analysis of data from a COVID-19 Surveillance and Outcomes Registry (CURATOR). Data were extracted from Electronic Medical Records (EMR). A total of 96,473 individuals tested for SARS-CoV-2 RNA in nasopharyngeal swab specimens via Polymerized Chain Reaction (PCR) tests were included. For hospital-based analyses, all patients admitted during the same time-period were included. Of the 96,473 patients tested, 14,992 (15.6%) tested positive, of whom 4,785 (31.9%) were hospitalized and 452 (9.5%) died. Among all patients tested, men were significantly older. The overall SARS-CoV-2 positivity among all tested individuals was 15.5%, and was higher in males as compared to females 17.0% vs. 14.6% [OR 1.20]. This sex difference held after adjusting for age, race, ethnicity, marital status, insurance type, median income, BMI, smoking and 17 comorbidities included in Charlson Comorbidity Index (CCI) [aOR 1.39]. A higher proportion of males (vs. females) experienced pulmonary (ARDS, hypoxic respiratory failure) and extra-pulmonary (acute renal injury) complications during their hospital course. After adjustment, length of stay (LOS), need for mechanical ventilation, and in-hospital mortality were significantly higher in males as compared to females. Conclusions In this analysis of a large US cohort, males were more likely to test positive for COVID-19. In hospitalized patients, males were more likely to have complications, require ICU admission and mechanical ventilation, and had higher mortality than females, independent of age. Sex disparities in COVID-19 vulnerability are present, and emphasize the importance of examining sex-disaggregated data to improve our understanding of the biological processes involved to potentially tailor treatment and risk stratify patients.

BACKGROUND The COVID-19 pandemic has exacerbated the challenges of meaningful health care digitization. The need for rapid yet validated decision-making requires robust data infrastructure. Organizations with a focus on learning health care (LHC) systems tend to adapt better to rapidly evolving data needs. Few studies have demonstrated a successful implementation of data digitization principles in an LHC context across health care systems during the COVID-19 pandemic. OBJECTIVE We share our experience and provide a framework for assembling and organizing multidisciplinary resources, structuring and regulating research needs, and developing a single source of truth (SSoT) for COVID-19 research by applying fundamental principles of health care digitization, in the context of LHC systems across a complex health care organization. METHODS Houston Methodist (HM) comprises eight tertiary care hospitals and an expansive primary care network across Greater Houston, Texas. During the early phase of the pandemic, institutional leadership envisioned the need to streamline COVID-19 research and established the retrospective research task force (RRTF). We describe an account of the structure, functioning, and productivity of the RRTF. We further elucidate the technical and structural details of a comprehensive data repository—the HM COVID-19 Surveillance and Outcomes Registry (CURATOR). We particularly highlight how CURATOR conforms to standard health care digitization principles in the LHC context. RESULTS The HM COVID-19 RRTF comprises expertise in epidemiology, health systems, clinical domains, data sciences, information technology, and research regulation. The RRTF initially convened in March 2020 to prioritize and streamline COVID-19 observational research; to date, it has reviewed over 60 protocols and made recommendations to the institutional review board (IRB). The RRTF also established the charter for CURATOR, which in itself was IRB-approved in April 2020. CURATOR is a relational structured query language database that is directly populated with data from electronic health records, via largely automated extract, transform, and load procedures. The CURATOR design enables longitudinal tracking of COVID-19 cases and controls before and after COVID-19 testing. CURATOR has been set up following the SSoT principle and is harmonized across other COVID-19 data sources. CURATOR eliminates data silos by leveraging unique and disparate big data sources for COVID-19 research and provides a platform to capitalize on institutional investment in cloud computing. It currently hosts deeply phenotyped sociodemographic, clinical, and outcomes data of approximately 200,000 individuals tested for COVID-19. It supports more than 30 IRB-approved protocols across several clinical domains and has generated numerous publications from its core and associated data sources. CONCLUSIONS A data-driven decision-making strategy is paramount to the success of health care organizations. Investment in cross-disciplinary expertise, health care technology, and leadership commitment are key ingredients to foster an LHC system. Such systems can mitigate the effects of ongoing and future health care catastrophes by providing timely and validated decision support.

Few studies have examined factors affecting the high frequency of hospitalization for pediatric asthma. This study identifies individual and environmental characteristics of children with asthma fr...

Background The COVID-19 pandemic has necessitated a rapid increase of space in highly infectious disease intensive care units (ICUs). At Houston Methodist Hospital (HMH), a virtual intensive care unit (vICU) was used amid the COVID-19 outbreak. Objective The aim of this paper was to detail the novel adaptations and rapid expansion of the vICU that were applied to achieve patient-centric solutions while protecting staff and patients’ families during the pandemic. Methods The planned vICU implementation was redirected to meet the emerging needs of conversion of COVID-19 ICUs, including alterations to staged rollout timing, virtual and in-person staffing, and scope of application. With the majority of the hospital critical care physician workforce redirected to rapidly expanded COVID-19 ICUs, the non–COVID-19 ICUs were managed by cardiovascular surgeons, cardiologists, neurosurgeons, and acute care surgeons. HMH expanded the vICU program to fill the newly depleted critical care expertise in the non–COVID-19 units to provide urgent, emergent, and code blue support to all ICUs. Results Virtual family visitation via the Consultant Bridge application, palliative care delivery, and specialist consultation for patients with COVID-19 exemplify the successful adaptation of the vICU implementation. Patients with COVID-19, who were isolated and separated from their families to prevent the spread of infection, were able to virtually see and hear their loved ones, which bolstered the mental and emotional status of those patients. Many families expressed gratitude for the ability to see and speak with their loved ones. The vICU also protected medical staff and specialists assigned to COVID-19 units, reducing exposure and conserving personal protective equipment. Conclusions Telecritical care has been established as an advantageous mechanism for the delivery of critical care expertise during the expedited rollout of the vICU at Houston Methodist Hospital. Overall responses from patients, families, and physicians are in favor of continued vICU care; however, further research is required to examine the impact of innovative applications of telecritical care in the treatment of critically ill patients.

As the demand for telepsychiatry increases during the COVID-19 pandemic, the strengths and challenges of telepsychiatry implementation must be articulated to improve clinical practices in the long term. Currently, observations within US contexts are lacking; therefore, we report on the rapid implementation of telepsychiatry and workflow experiences in a psychiatric practice based within a large health care system in southeast Texas with a national catchment area. We discuss the logistics of the implementation, including modes of communication, scheduling, coordination, and capacity; the psychological effects of web-based services, including both the loss of the physical therapeutic environment and the unique interpersonal dynamics experienced in the virtual environment; and postadoption patterns of engagement with our services and with other clinical functions affected by the rapid adaptation to telemedicine. Our art therapy group programming serves as an applied case study, demonstrating the value of a well-managed web-based program (eg, patients were receptive and well-engaged, and they appreciated the continuity of accessible service) as well as the challenges (eg, the need for backup plans and technological fallbacks, managing interruptions and telecommunication learning curves, and working around the difference in resources for art and music therapy between a well-stocked clinical setting versus clients’ home spaces). We conclude from our experience that the overall strengths of telepsychiatry include receptive and well-engaged responses from patients as well as the expansion of boundaries, which provides a directly contextualized view into patients’ home lives. Challenges and corresponding recommendations include the need for more careful safety planning for high-risk patients; maintaining professional boundaries in the newly informal virtual setting; designing the physical space to both frame the patient encounter and maintain work-life balance for the therapist; allowing for delays and interruptions (including an initial acclimation session); and preserving interprofessional care team collaboration when the physical locations that normally facilitate such encounters are not accessible. We believe that careful observations of the strengths and challenges of telepsychiatry during this pandemic will better inform practices that are considering telepsychiatry adoption both within pandemic contexts and more broadly thereafter.

ObjectiveTo determine the prevalence of SARS-CoV-2 infection among asymptomatic COVID-19 facing and non-COVID-19 facing Healthcare Workers (HCWs), with varying job categories across different hospitals.DesignCross-sectional analysis of a healthcare system surveillance program that included asymptomatic clinical (COVID-19 facing and non-COVID-19 facing), and non-clinical HCWs. A convenience sample of asymptomatic community residents (CR) was also tested. Proportions and 95% confidence Intervals (CI) of SARS-CoV-2 positive HCWs are reported. Proportional trend across HCW categories was tested using Chi Square trend test. Logistic regression model-based likelihood estimates of SARS-CoV-2 prevalence among HCWs with varying job functions and across different hospitals are reported as adjusted odds ratios (aOR) and CI.SettingHealthcare system comprising one tertiary care academic medical center and six large community hospitals across Greater Houston and a community sample.Participants2,872 self-reported asymptomatic adult (> 18 years) HCWs and CRs.ExposureClinical HCWs in COVID-19 and non-COVID-19 units, non-Clinical HCWs, and CRs. Job categories of Nursing, Providers, Allied Health, Support, and Administration / Research. Seven hospitals in the healthcare system.Main OutcomesPositive reverse transcriptase polymerized chain reaction (RT-PCR) test for SARS-CoV-2ResultsAmong 2,872 asymptomatic HCWs and CRs, 3.9% (CI: 3.2 – 4.7) tested positive for SARS-CoV-2. Mean (SD) age was 40.9 (11.7) years and 73% were females. Among COVID-19 facing HCWs 5.4% (CI: 4.5 – 6.5) were positive, whereas 0.6% (CI: 0.2 – 1.7%) of non COVID-19 facing HCWs and none of the non-clinical HCWs or CRs were positive (Ptrend < 0.001). Among COVID-19 facing HCWs, SARS-CoV-2 positivity was similar for all job categories (p = 0.74). However, significant differences in positivity were observed across hospitals.Conclusions and RelevanceAsymptomatic HCWs with COVID-19 patient exposure had a higher rate of SARS-CoV-2 positive testing than those not routinely exposed to COVID-19 patients and those not engaged in patient care. Among HCWs with routine COVID-19 exposure, all job types had relatively similar infection rates. These data can inform hospital surveillance and infection control practices for patient-facing job classifications and suggest that general environmental exposure within hospitals is not a significant source of asymptomatic SARS-CoV-2 infection.What is already known on this topicA sizeable proportion of individuals who contract the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) can remain largely asymptomatic.Though such individuals may not develop symptoms, they continue to shed enough viral particles to trigger positive reverse transcriptase polymerized chain reaction (RT PCR) test for SARS-CoV-2Prior reports on proportion of asymptomatic SARS-CoV-2 individuals are highly variable with positivity ranging across < 1% to 36%Asymptomatic SARS-CoV-2 infection among healthcare workers is specifically critical to understandWhat this study addsThis study demonstrates that overall rate of SARS-CoV-2 infection among asymptomatic healthcare workers in a large healthcare system of a metropolitan city in the United States was 3.9%The rate of SARS-CoV-2 infection among healthcare workers who provided direct care to COVID-19 patients was 5.4% whereas it was 0.6% among those healthcare workers who did not provide direct care to COVID-19 patientsThere was no difference in SARS-CoV-2 positivity rate for different job categories of healthcare workers who provided direct care to COVID-19 patients

Although hospital length of stay (LOS) has been identified as a proxy measure of healthcare expenditures in the United States, there are limited studies investigating the potentially important association between outdoor air pollution and LOS for pediatric asthma. This study aims to examine the effect of ambient air pollution on LOS among children with asthma in South Texas. It included retrospective data on 711 children aged 5&ndash, 18 years old admitted for asthma to a pediatric tertiary care hospital in South Texas between 2010 and 2014. Air pollution data including particulate matter (PM2.5) and ozone were collected from the U.S. Centers for Disease Control and Prevention. The multivariate binomial logistic regression analyses were performed to determine the association between each air pollutant and LOS, controlling for confounders. The regression models showed the increased ozone level was significantly associated with prolonged LOS in the single- and two-pollutant models (p &lt, 0.05). Furthermore, in the age-stratified models, PM2.5 was positively associated with LOS among children aged 5&ndash, 11 years old (p &lt, 0.05). In conclusion, this study revealed a concerning association between ambient air pollution and LOS for pediatric asthma in South Texas.

Introduction: Stroke is a leading cause of death and disability worldwide. While most prevalent in elderly, it’s not uncommon in the non-elderly ( Methods: We analyzed the National Health Interview Survey (2012-2018), a nationally representative study sample. Stroke, as well as CVD risk factors (CRF) [diabetes, hypertension, ever-smoker, insufficient physical activity, obesity and high cholesterol] were self-reported. A CRF profile was then created, with the following categories: “Optimal”, “Average” and “Poor” (0-1, 2-3 & ≥ 4 CRFs, respectively). All analyses took into consideration the survey’s complex design. Results: The 2012-2018 survey population consisted of 224,638 adults ≥ 18 yrs, ≈ 242 million US adults annually. Overall 2.8% (≈ 7 million) reported ever having history of stroke, with 45% noted in the non-elderly (< 65). Among non-elderly, 21% of stroke-history was allocated among the young (18-44 years) adults, translating to nearly 642,810 individuals reporting ever having history of stroke per year. The most common risk factors noted in these patients were insufficient physical activity (56%), current/past smoking (48%), obesity (45%), and hypertension (44%). Overall among the young ( Conclusion: More than half a million adults 18-44 years of age reported a history stroke in US. Individuals with sub-optimal CRF profiles are highly susceptible, and population-level strategies emphasizing cardiovascular health may significantly reduce risk of stroke among young adults in US.

BACKGROUND: Aging may detrimentally affect cognitive and motor function. However, age is also associated with experience, and how these factors interplay and affect outcomes following surgery is unclear. We sought to evaluate the effect of surgeon age on postoperative outcomes in patients undergoing common surgical procedures. METHODS: We performed a retrospective cohort study of patients undergoing 1 of 25 common surgical procedures in Ontario, Canada, from 2007 to 2015. We evaluated the association between surgeon age and a composite outcome of death, readmission and complications. We used generalized estimating equations for analysis, accounting for relevant patient-, procedure-, surgeon- and hospital-level factors. RESULTS: We found 1 159 676 eligible patients who were treated by 3314 surgeons and ranged in age from 27 to 81 years. Modelled as a continuous variable, a 10-year increase in surgeon age was associated with a 5% relative decreased odds of the composite outcome (adjusted odds ratio [OR] 0.95, 95% confidence interval [CI] 0.92 to 0.98, p = 0.002). Considered dichotomously, patients receiving treatment from surgeons who were older than 65 years of age had a 7% lower odds of adverse outcomes (adjusted OR 0.93, 95% CI 0.88–0.97, p = 0.03; crude absolute difference = 3.1%). INTERPRETATION: We found that increasing surgeon age was associated with decreasing rates of postoperative death, readmission and complications in a nearly linear fashion after accounting for patient-, procedure-, surgeon- and hospital-level factors. Further evaluation of the mechanisms underlying these findings may help to improve patient safety and outcomes, and inform policy about maintenance of certification and retirement age for surgeons.

Homelessness is a major social determinant of health. We studied the clinical and economic profile of homeless young adults hospitalized with stroke. We studied the National Inpatient Sample database (2002-2017) to evaluate trends of stroke hospitalization, clinical outcomes, and health expenditure in homeless vs non-homeless young adults (45 years). We identified 3134 homeless individuals out of 648,944 young adults. Homeless patients were more likely to be men, Black adults and had a higher prevalence of cardiometabolic risk factors and psychiatric disorders than non-homeless adults. Both homeless and non-homeless adults had a similar prevalence of ischemic and hemorrhagic stroke. Between 2002 and 2017, hospitalization rates per million increased for both non-homeless (295.8-416.8) and homeless adults (0.5-3.6) (P ≤ 0.01). Between 2003 and 2017, the decline in in-hospital mortality was limited to non-homeless adults (11%-9%), while it has increased in homeless adults (3%-11%) (P0.01). The prevalence of acute myocardial infarction (6.8% vs 3.3%, P0.01), and acute kidney injury (13.1% vs 9.4%, P0.01) was also higher in homeless vs. non-homeless adults. The length of stay and inflation-adjusted care cost were comparable between both study groups. Finally, a higher proportion of homeless patients left the hospital against medical advice than non-homeless adults. Homeless young stroke patients had significant comorbidities, increased hospitalization rates, and adverse clinical outcomes. Therefore, public health interventions should focus on multidisciplinary care to reduce health care disparities among young homeless adults.

Purpose This paper aims to present a literature review of the health workforce, hospital and clinic systems, infrastructure, primary care, regulatory climate, the pharmaceutical industry and community health behavior of the Kenyan health-care system with the purpose of providing a thorough background on the health-care environment in Kenya. Design/methodology/approach A systematic literature review was conducted using Pub Med, searching for “Kenya” in the title of articles published from January 1, 2015 to February 24, 2016; this provided a broad overview of the type of research being conducted in Kenya. Other data provided by governmental agencies and non-governmental agencies was also reviewed to describe the current state of population health in Kenya. Findings An initial review of 615 Pubmed articles included 455 relevant articles. A complete review of these studies was conducted, resulting in a final sample of 389 articles. These articles were categorized into three main subject areas with 14 secondary subject areas (Figure 1). Research limitations/implications The narrow scope of the search parameters set for the systematic review was a necessary limitation to focus on the most relevant literature. The findings of this study provide a thorough background on health care in Kenya to researchers and practitioners. Originality/value This compilation of data specific to Kenya provides a detailed summary of both the country’s health-care services and health status, focusing on potential means of realizing increased quality and length of life.

Purpose The purpose of this article is to provide a general review of the health-care needs in Kenya which focuses on the role of community engagement in facilitating access and diminishing barriers to quality care services. Health-care concerns throughout Kenya and the culture of Kenyan’s health-care practices care are considered. Design/methodology/approach A comprehensive review covered studies of community engagement from 2000 till present. Studies are collected using Google Scholar, PubMed, EBSCOhost and JSTOR and from government and nongovernment agency websites. The approach focuses on why various populations seek health care and how they seek health care, and on some current health-care delivery models. Findings Suggestions for community engagement, including defining the community, are proposed. A model for improved health-care delivery introduces community health workers (CHWs), mHealth technologies and the use of mobile clinics to engage the community and improve health and quality of care in low-income settings. Practical implications The results emphasize the importance of community engagement in building a sustainable health-care delivery model. This model highlights the importance of defining the community, setting goals for the community and integrating CHWs and mobile clinics to improve health status and decrease long-term health-care costs. The implementation of these strategies contributes to an environment that promotes health and wellness for all. Originality/value This paper evaluates health-care quality and access issues in Kenya and provides sustainable solutions that are linked to effective community engagement. In addition, this paper adds to the limited number of studies that explore health-care quality and access alongside community engagement in low-income settings.

Purpose The purpose of this paper is to present proposed solutions and interventions to some of the major barriers to providing adequate access to healthcare in Kenya. Specific business models are proposed to improve access to quality healthcare in low- and middle-income countries. Finally, strategies are developed for the retail clinic concept (RCC). Design/methodology/approach Google Scholar, PubMed and EBSCOhost were among the databases used to collect articles relevant to the purpose in Kenya. Various governmental and news articles were collected from Google searches. Relevant business models from other sectors were considered for potential application to healthcare and the retail clinic concept. Findings After a review of current methodologies and approaches to business and franchising models in various settings, the most relevant models are proposed as solutions to improving quality healthcare in Kenya through the RCC. For example, authors reviewed physician recruitment strategies, insurance plans and community engagement. The paper is informed by existing literature and reports as well as key informants. Research limitations/implications This paper lacks primary data collection within Kenya and is limited to a brief scoping review of literature. The findings provide effective strategies for various business and franchising models in healthcare. Originality/value The assembling of relevant information specific to Kenya and potential business models provides effective means of improving health delivery through business and franchising, focusing on innovative approaches and models that have proven effective in other settings.

Purpose This paper aims to critically analyze the empirical literature on health and human development in high-, middle- and low-income countries to develop a sustainable model for investing in human health. The model is critical in building a comprehensive health-care system that fosters the stakeholders’ financial stability, economic growth and high-quality education for the local community. Design/methodology/approach A comprehensive literature review was carried out on health, human development and sustainable health investment. After thoroughly examining theoretical frameworks underlying the strategies of successful human health systems, a summary of empirical articles is created. Summaries provided in this paper represent relevant health-care strategies for Kenya. Findings Based on the empirical review of literature, a Nexus Health Care model focusing on human development, social and cultural development, economic development and environmental development in high-, middle- and low-income countries is proposed. The goal of this model is to enhance sustainable development where wealth creation is accompanied with environmental uplifting and protection of social and material well-being. Research limitations/implications This paper is limited to a comprehensive literature review presenting empirical evidence of human development and sustainability. Originality/value Kenya like other developing nations aspires to contribute significantly in improving health through development of health products but the approaches used have been limiting. In most cases, the use of Western theories, lack of empowering the community and dependence on donor support have hindered the country from achieving comprehensive health and human development. This papers seeks to develop a model for health-care investment and provide strategies, operations and structure of successful health systems and human development for a developing country, such as Kenya.

PurposeThe purpose of this study is to identify best practices for innovative primary care models and to describe a potential future primary care (PC) model for Texas to address the burden of chronic disease in a population-based approach.Design/methodology/approachA systematic literature review was conducted and identified 1,880 published records through PubMed using 26 search terms. After abstract and full-text review, 70 articles remained as potential models.FindingsAlthough there is already a severe shortage of physicians in Texas, emerging practice patterns and choices among physicians are likely to erode access to primary care services in the state. Health-care leaders are encouraged to consider models such as complex adaptive systems for team-based care, pharmacist hypertension care management program and combined nurse-led care management with group visit structure.Research limitations/implicationsAs with any study, this research has its limitations; for example, models that might work in one state, or under a unique state-funded academic medical center, might not be “do-able” in another state within the nuances of a different funding mechanism.Practical implicationsResults of this research provide a model for implementing IPCM for the state of Texas first and will guide IPCM planning and implementation in other states.Originality/valueThis study is “land grant-centric” and focused on carrying out the mission of a major, top-tier research university with an emerging college of medicine at an academic medical center.

Objective Research on the implementation of health information exchange (HIE) organizations has identified both positive and negative effects of laws relating to governance, incentives, mandates, sustainability, stakeholder participation, patient engagement, privacy, confidentiality, and security. We fill a substantial research gap by describing whether comprehensive state and territorial HIE legal frameworks address identified legal facilitators and barriers. Materials and Methods We used the Westlaw database to identify state and territorial laws relating to HIEs in effect on June 7, 2016 (53 jurisdictions). We blind-coded all laws and addressed coding discrepancies in peer-review meetings. We recorded a consensus code for each law in a master database. We compared 20 HIE legal attributes with identified barriers to and enablers of HIE activity in the literature. Results Forty-two states, the District of Columbia, and 2 territories have laws relating to HIEs. On average, jurisdictions address 8.32 of the 20 criteria selected in statutes and regulations. Twenty jurisdictions unambiguously address ≤5 criteria in statutes and regulations. None of the significant legal criteria are unambiguously addressed in >60% of the 53 jurisdictions. Discussion Laws can be barriers to or enablers of HIEs. However, jurisdictions are not addressing many significant issues identified by researchers. Consequently, there is a substantial risk that existing legal frameworks are not adequately supporting HIEs. Conclusion The current evidence base is insufficient for comparative assessments or impact rankings of the various factors. However, the detailed Centers for Disease Control and Prevention dataset of HIE laws could enable investigations into the types of laws that promote or impede HIEs.

Background We do not have a strong understanding of a health care organization's capacity for attempting and completing multiple and sometimes competing change initiatives. Capacity for change implementation is a critical success factor as the health care industry is faced with ongoing demands for change and transformation because of technological advances, market forces, and regulatory environment. Purpose The aim of this study was to develop and validate a tool to measure health care organizations' capacity to change by building upon previous conceptualizations of absorptive capacity and organizational readiness for change. Methodology/approach A multistep process was used to develop the organizational capacity for change survey. The survey was sent to two populations requesting answers to questions about the organization's leadership, culture, and technologies in use throughout the organization. Exploratory and confirmatory factor analyses were conducted to validate the survey as a measurement tool for organizational capacity for change in the health care setting. Findings The resulting organizational capacity for change measurement tool proves to be a valid and reliable method of evaluating a hospital's capacity for change through the measurement of the population's perceptions related to leadership, culture, and organizational technologies. Practical implications The organizational capacity for change measurement tool can help health care managers and leaders evaluate the capacity of employees, departments, and teams for change before large-scale implementation.

Introduction Following bariatric surgery, ongoing postoperative testing is required to measure nutritional deficiencies; the purpose of this study was to quantify the prevalence of these nutritional deficiencies based on two-year follow-up tests at recommended time points. Methods and procedures A retrospective data analysis was conducted of all laboratory tests for bariatric patients who underwent surgery between May 2016 and January 2018 with available lab data (n = 397). Results for nine different nutritional labs were categorized into six recommended postoperative time periods based on time elapsed since the procedure date. Binary variables were created for each laboratory result to calculate descriptive statistics of abnormalities for each lab test over time and used in the individual GEE logistic regression models. Grouped logistic regression examined the total nutritional deficiencies of the nine combined nutrients considering total available labs. Results Multiple lab tests indicated a very low frequency of abnormalities (e.g., Vitamin A, Vitamin B12, Copper, and Folate). Many of the nine included nutritional labs had an average deficiency of less than 10% across all time points. The grouped logistic model found preoperative nutritional deficiency to be predictive of postoperative nutritional deficiency (OR 3.70, p Conclusions We found the vast majority of routine lab test results to be normal at multiple time points. Current practice can add up to significant lab expenses over time. The frequency of postoperative testing in this population may be redundant and of very little value. Unnecessary follow-up laboratory testing costs the patients and the health care system in both time and resources. Patients with preoperative deficiencies appear to be at higher risk for nutritional deficiencies when compared to bariatric surgery patients that did not have preoperative nutritional deficiencies. Future research should focus on defining cost effective postoperative lab testing guidelines for at risk bariatric patients.

Evidence suggests that health information exchange (HIE) is an effective strategy to improve efficiency and quality of care, as well as reduce costs. A complex patchwork of federal and state legislation has developed over time to encourage HIE activity. Hospitals and health systems have adopted various HIE models to meet the requirements of these statutes and regulations. Given the complexity of HIE laws, it is important to understand how these legal levers influence HIE engagement. We combined data from two unique data sources to examine the association between state-level HIE laws and hospital engagement in community HIEs. Our results identified three legal provisions of state laws (HIE authorization, financial & non-financial incentives, opt-out consent) that increased the likelihood of community HIE engagement. Other provisions decreased the likelihood of engagement. This analysis provides foundational evidence about the utility of HIE laws. More research is needed to determine causal relationships.

Although various interventions targeted at reducing hospital readmissions have been identified in the literature, little is known about actual operationalization of such evidence-based interventions. This study conducted a systematic review and a survey of key informants in 2 leading hospitals, Houston Methodist (HM) and MD Anderson Cancer Center (MDACC), to compare and contrast the most cited evidence-based interventions in the current literature with interventions reported by those hospitals. The authors found that both hospitals followed evidence-based practices reported as successful in the literature. Both hospitals have implemented interventions for inpatient settings, and the timing of interventions was very similar. Major implementation differences observed for post-discharge interventions focused on collaboration. It also was found that HM was more likely than MDACC to use medication reconciliation in outpatient ( P = .018) and discharge planning for community/home patients ( P = .032). Results will provide hospital professionals with insights for implementing the most effective interventions to reduce readmissions.

Background The COVID-19 pandemic has exacerbated the challenges of meaningful health care digitization. The need for rapid yet validated decision-making requires robust data infrastructure. Organizations with a focus on learning health care (LHC) systems tend to adapt better to rapidly evolving data needs. Few studies have demonstrated a successful implementation of data digitization principles in an LHC context across health care systems during the COVID-19 pandemic. Objective We share our experience and provide a framework for assembling and organizing multidisciplinary resources, structuring and regulating research needs, and developing a single source of truth (SSoT) for COVID-19 research by applying fundamental principles of health care digitization, in the context of LHC systems across a complex health care organization. Methods Houston Methodist (HM) comprises eight tertiary care hospitals and an expansive primary care network across Greater Houston, Texas. During the early phase of the pandemic, institutional leadership envisioned the need to streamline COVID-19 research and established the retrospective research task force (RRTF). We describe an account of the structure, functioning, and productivity of the RRTF. We further elucidate the technical and structural details of a comprehensive data repository—the HM COVID-19 Surveillance and Outcomes Registry (CURATOR). We particularly highlight how CURATOR conforms to standard health care digitization principles in the LHC context. Results The HM COVID-19 RRTF comprises expertise in epidemiology, health systems, clinical domains, data sciences, information technology, and research regulation. The RRTF initially convened in March 2020 to prioritize and streamline COVID-19 observational research; to date, it has reviewed over 60 protocols and made recommendations to the institutional review board (IRB). The RRTF also established the charter for CURATOR, which in itself was IRB-approved in April 2020. CURATOR is a relational structured query language database that is directly populated with data from electronic health records, via largely automated extract, transform, and load procedures. The CURATOR design enables longitudinal tracking of COVID-19 cases and controls before and after COVID-19 testing. CURATOR has been set up following the SSoT principle and is harmonized across other COVID-19 data sources. CURATOR eliminates data silos by leveraging unique and disparate big data sources for COVID-19 research and provides a platform to capitalize on institutional investment in cloud computing. It currently hosts deeply phenotyped sociodemographic, clinical, and outcomes data of approximately 200,000 individuals tested for COVID-19. It supports more than 30 IRB-approved protocols across several clinical domains and has generated numerous publications from its core and associated data sources. Conclusions A data-driven decision-making strategy is paramount to the success of health care organizations. Investment in cross-disciplinary expertise, health care technology, and leadership commitment are key ingredients to foster an LHC system. Such systems can mitigate the effects of ongoing and future health care catastrophes by providing timely and validated decision support.