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OBJECTIVE: Geography may influence the relationships of predictors for suicidal ideation (SI) and suicide attempts (SA) in children and youth. METHOD: This is a nationwide retrospective cohort study of 124,424 individuals less than 25 years of age using commercial claims data (2011-2015) from the Health Care Cost Institute. Outcomes were time to SI or SA within 3 months after the indexed mental health or substance use disorder (MH/SUD) outpatient visit. Predictors included sociodemographic and clinical characteristics up to 3 years before the index event. RESULTS: At each follow-up time period, rates of SI and SA varied by the US geographic division (p < .001), and the Mountain Division consistently had the highest rates for both SI and SA (5.44%-10.26% for SI; 0.70%-2.82% for SA). Having MH emergency department (ED) visits in the past year increased the risk of SI by 28% to 65% for individuals residing in the New England, Mid-Atlantic, East North Central, West North Central, and East South Central Divisions. The main effects of geographic divisions were significant for SA (p

Abstract Background Orthogeriatric co-management (OGCM) addresses the special needs of geriatric fracture patients. Most of the research on OGCM focused on hip fractures while results concerning other severe fractures are rare. We conducted a health-economic evaluation of OGCM for pelvic and vertebral fractures. Methods In this retrospective cohort study, we used German health and long-term care insurance claims data and included cases of geriatric patients aged 80 years or older treated in an OGCM (OGCM group) or a non-OGCM hospital (non-OGCM group) due to pelvic or vertebral fractures in 2014–2018. We analyzed life years gained, fracture-free life years gained, healthcare costs, and cost-effectiveness within 1 year. We applied entropy balancing, weighted gamma and two-part models. We calculated incremental cost-effectiveness ratios and cost-effectiveness acceptability curves. Results We included 21,036 cases with pelvic (71.2% in the OGCM, 28.8% in the non-OGCM group) and 33,827 with vertebral fractures (72.8% OGCM, 27.2% non-OGCM group). 4.5–5.9% of the pelvic and 31.8–33.8% of the vertebral fracture cases were treated surgically. Total healthcare costs were significantly higher after treatment in OGCM compared to non-OGCM hospitals for both fracture cohorts. For both fracture cohorts, a 95% probability of cost-effectiveness was not exceeded for a willingness-to-pay of up to €150,000 per life year or €150,000 per fracture-free life year gained. Conclusion We did not obtain distinct benefits of treatment in an OGCM hospital. Assigning cases to OGCM or non-OGCM group on hospital level might have underestimated the effect of OGCM as not all patients in the OGCM group have received OGCM.

Background: Orthogeriatric co-management (OGCM) addresses the special needs of geriatric fracture patients. Most of the research on OGCM focused on hip fractures while results concerning other severe fractures are rare. We conducted a health-economic evaluation of OGCM for pelvic and vertebral fractures. Methods: In this retrospective cohort study, we used German health and long-term care insurance claims data and included cases of geriatric patients aged 80 years or older treated in an OGCM (OGCM group) or a non-OGCM hospital (non-OGCM group) due to pelvic or vertebral fractures in 2014–2018. We analyzed life years gained, fracture-free life years gained, healthcare costs, and cost-effectiveness within 1 year. We applied entropy balancing, weighted gamma and two-part models. We calculated incremental cost-effectiveness ratios and cost-effectiveness acceptability curves. Results: We included 21,036 cases with pelvic (71.2% in the OGCM, 28.8% in the non-OGCM group) and 33,827 with vertebral fractures (72.8% OGCM, 27.2% non-OGCM group). 4.5–5.9% of the pelvic and 31.8–33.8% of the vertebral fracture cases were treated surgically. Total healthcare costs were significantly higher after treatment in OGCM compared to non-OGCM hospitals for both fracture cohorts. For both fracture cohorts, a 95% probability of cost-effectiveness was not exceeded for a willingness-to-pay of up to €150,000 per life year or €150,000 per fracture-free life year gained. Conclusion: We did not obtain distinct benefits of treatment in an OGCM hospital. Assigning cases to OGCM or non-OGCM group on hospital level might have underestimated the effect of OGCM as not all patients in the OGCM group have received OGCM. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the types of strabismus surgeries performed and the reoperation rate in patients with Duane retraction syndrome (DRS). Design: Retrospective cohort analysis. Participants: An insurance claims data set was used to identify patients diagnosed with DRS between 2007 and 2021. Methods: We recorded the type of strabismus surgery performed and the timing and frequency of reoperations. The hazard ratios (HRs) for reoperation were estimated according to the surgical methods using Cox regression analysis. Results: Of the 9435 patients diagnosed with DRS, 1023 (10.8%) underwent ≥ 1 strabismus operation. The median age at surgery was 5.0 years, and patients were followed for an average of 3.8 ± 3.0 years after their initial strabismus surgery. Most of the surgeries only involved horizontal muscle(s) (n = 734 [71.7%]). However, some patients underwent surgeries on vertical muscle(s) (n = 132 [12.9%]), vertical muscle(s) with transposition (n = 102 [10.0%]), and horizontal muscle with transposition (n = 51 [5.0%]). The estimated 5-year rate of reoperation was 18.2% (95% confidence interval [CI], 15.0%–22.2%). Compared with surgery on horizontal muscle(s) only, vertical muscle surgery (HR, 2.01; 95% CI, 1.30–3.11; P = 0.002) and vertical muscle surgery coupled with transposition (HR, 1.79; 95% CI, 1.06–3.02; P = 0.03) had an increased risk of reoperation. Conclusions: Strabismus surgery on ≥ 1 horizontal muscles is the most common type of strabismus surgery performed on patients with DRS. Approximately 1 in 7 patients with DRS who had strabismus surgery underwent a reoperation. Patients who underwent vertical muscle surgery had a higher risk of undergoing a reoperation. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

In the United States, a public-health crisis of opioid overuse has been observed, and in Europe, prescriptions of opioids are strongly increasing over time. The objective was to develop and validate a multivariable prognostic model to be used at the beginning of an opioid prescription episode, aiming to identify individual patients at high risk for long-term opioid use based on routinely collected data. Predictors including demographics, comorbid diseases, comedication, morphine dose at episode initiation, and prescription practice were collected. The primary outcome was long-term opioid use, defined as opioid use of either >90 days duration and ≥10 claims or >120 days, independent of the number of claims. Traditional generalized linear statistical regression models and machine learning approaches were applied. The area under the curve, calibration plots, and the scaled Brier score assessed model performance. More than four hundred thousand opioid episodes were included. The final risk prediction model had an area under the curve of 0.927 (95% confidence interval 0.924-0.931) in the validation set, and this model had a scaled Brier score of 48.5%. Using a threshold of 10% predicted probability to identify patients at high risk, the overall accuracy of this risk prediction model was 81.6% (95% confidence interval 81.2% to 82.0%). Our study demonstrated that long-term opioid use can be predicted at the initiation of an opioid prescription episode, with satisfactory accuracy using data routinely collected at a large health insurance company. Traditional statistical methods resulted in higher discriminative ability and similarly good calibration as compared with machine learning approaches. [ABSTRACT FROM AUTHOR]

Tweedie models can be used to analyze nonnegative continuous data with a probability mass at zero. There have been wide applications in natural science, healthcare research, actuarial science, and other fields. The performance of existing Tweedie models can be limited on today's complex data problems with challenging characteristics such as nonlinear effects, high-order interactions, high-dimensionality and sparsity. In this article, we propose a kernel Tweedie model, Ktweedie, and its sparse variant, SKtweedie, that can simultaneously address the above challenges. Specifically, nonlinear effects and high-order interactions can be flexibly represented through a wide range of kernel functions, which is fully learned from the data; In addition, while the Ktweedie can handle high-dimensional data, the SKtweedie with integrated variable selection can further improve the interpretability. We perform extensive simulation studies to justify the prediction and variable selection accuracy of our method, and demonstrate the applications in ratemaking and loss-reserving in general insurance. Overall, the Ktweedie and SKtweedie outperform existing Tweedie models when there exist nonlinear effects and high-order interactions, particularly when the dimensionality is high relative to the sample size. The model is implemented in an efficient and user-friendly R package ktweedie (). [ABSTRACT FROM AUTHOR]

Abstract Background The concurrent use of anticholinergics and acetylcholinesterase inhibitors (ACHEIs) in Parkinson’s disease (PD) patients with dementia should be avoided because the opposing pharmacological actions of both drugs reduce the treatment efficacy. We aimed to investigate the prevalence of the concurrent use of these two types of drugs in Korean patients. Methods In the 2017 Health Insurance Review and Assessment Service–National Aged Patient Sample data, comprising insurance claims records for a 10% random sample of patients aged ≥ 65 years in Korea, “concurrent use” was defined as the overlapping of anticholinergic and ACHEI doses for at least 2 months. Results Among 8,845 PD patients with dementia, 847 (9.58%) were co-administered anticholinergics, used to treat the motor symptoms of PD, and ACHEIs for a mean duration of 7.7 months. A total of 286 (33.77% of all co-administered) patients used both drug types concurrently all year. About 80% of concurrent users were prescribed each drug by the same prescriber, indicating that coadministration may not be due to a lack of information sharing between providers. Logistic regression analysis showed that patients mainly treated at clinics (odds ratio (OR), 1.541; 95% confidence interval (CI), 1.158–2.059), hospitals (OR, 2.135; 95% CI, 1.586–2.883), and general hospitals (OR, 1.568; 95% CI, 1.221–2.028) were more likely to be co-prescribed anticholinergics and ACHEIs than those mainly treated at tertiary-care hospitals. PD patients with dementia treated at healthcare organizations located in areas other than the capital city had an approximately 22% higher risk of concurrent use (OR: 1.227, 95% CI: 1.046–1.441). Conclusions The concurrent use of anticholinergics for the motor symptoms of PD and ACHEIs in elderly Korean PD patients with dementia cannot be ignored, and strategies that mitigate potentially inappropriate concurrent drug use are required.

Self-harm risk prediction models developed using health system data (electronic health records and insurance claims information) often use patient information from up to several years prior to the index visit when the prediction is made. Measurements from some time periods may not be available for all patients. Using the framework of algorithm-agnostic variable importance, we study the predictive potential of variables corresponding to different time horizons prior to the index visit and demonstrate the application of variable importance techniques in the biomedical informatics setting. We use variable importance to quantify the potential of recent (up to three months before the index visit) and distant (more than one year before the index visit) patient mental health information for predicting self-harm risk using data from seven health systems. We quantify importance as the decrease in predictiveness when the variable set of interest is excluded from the prediction task. We define predictiveness using discriminative metrics: area under the receiver operating characteristic curve (AUC), sensitivity, and positive predictive value. Mental health predictors corresponding to the three months prior to the index visit show strong signal of importance; in one setting, excluding these variables decreased AUC from 0.85 to 0.77. Predictors corresponding to more distant information were less important. Predictors from the months immediately preceding the index visit are highly important. Implementation of self-harm prediction models may be challenging in settings where recent data are not completely available (e.g., due to lags in insurance claims processing) at the time a prediction is made. Clinically derived variables from different time frames exhibit varying levels of importance for predicting self-harm. Variable importance analyses can inform whether and how to implement risk prediction models into clinical practice given real-world data limitations. These analyses be applied more broadly in biomedical informatics research to provide insight into general clinical risk prediction tasks. [Display omitted] [ABSTRACT FROM AUTHOR]

Introduction:  In Germany, pediatric surgery is organized in a decentralized manner. A nationwide clinical registry does not exist. The aim of this research is to analyze the current status of pulmonary surgery in the country in respect of children and adolescents.Materials and Methods:  Claims data have been extracted from two health insurance databases representing 34% of the German population. Operative diagnoses and procedures, as well as patients' characteristics, were recorded from 2016 to 2019.Results:  The incidence of the four index diagnoses investigated matched the current literature in three of four entities. The main indications <8 years were congenital lung malformations (61%) and spontaneous pneumothorax at age 8 to 17 years (77%). Furthermore, 1,668 pediatric pulmonary procedures (0-17 years) were identified (668 pulmonary resections). Two age peaks were identified: 13% of patients were operated on before 1 year old and 50% of patients were between 15 and 17 years old. Video-assisted-thoracoscopic-surgery (VATS) for pulmonary resections was applied in 62% of cases. 96% of pulmonary resections in patients <1 year and 70% of pulmonary resections in children between 1 and 14 years were performed by pediatric surgeons. Of patients between 15 and 17 years old, only 14% were operated on in pediatric surgery. The estimated average pulmonary resection caseload was 3.2 cases per year and per institution for pediatric surgery and 1.5 for adult surgery.Conclusion:  Indications for pulmonary surgery in children arise from rare diagnoses. In total, 66% of lung resections are performed in patients <1 year and >14 years. The majority of lung resections are performed as VATS. Patients ≤14 years are predominantly operated on by pediatric surgeons. The accessibility of pediatric pulmonary surgery is acceptable, but there is a low caseload per center. [ABSTRACT FROM AUTHOR]

Abstract Background Human papillomavirus (HPV) infection can cause various cancers and can be prevented through vaccination. The American Cancer Society (ACS) has set an HPV vaccination completion target in 13-year-old children to 80% by 2026. While HPV vaccine coverage (proportion ever vaccinated) estimates are available, annual uptakes (proportion initiating vaccine in a year) in the United States (U.S.) are not well-known. Methods We analyzed MarketScan® claims database to assess HPV vaccination uptakes in the U.S. among the 9- to 26-year-olds in 2006–2016. The annual uptake was the ratio of the number of enrollees who had a first record of an HPV vaccine during the year, and the number of enrollees of similar age and sex that year. Results Uptake was below 1% among children turning 9 and 10 years old during the year. Since 2009 among female and since 2013 among males, the annual uptake has been the highest in those turning 13 years old (19.7% among females and 17.6% among males in 2016). Catch-up vaccination among older adolescents and young adults increased after Advisory Committee for Immunization Practices (ACIP) recommendations, but eventually slowed down as more younger persons were vaccinated. Most young adolescents were vaccinated by pediatricians, whereas young adult women were predominantly vaccinated by obstetricians/gynecologists and young adult males by family physicians. While only about half of the adolescents had well-check visits, the majority of those who initiated HPV vaccination had one the same year. Conclusion Continued increase in uptake is needed to reach the ACS 2026 goals.

Background: The concurrent use of anticholinergics and acetylcholinesterase inhibitors (ACHEIs) in Parkinson's disease (PD) patients with dementia should be avoided because the opposing pharmacological actions of both drugs reduce the treatment efficacy. We aimed to investigate the prevalence of the concurrent use of these two types of drugs in Korean patients.Methods: In the 2017 Health Insurance Review and Assessment Service-National Aged Patient Sample data, comprising insurance claims records for a 10% random sample of patients aged ≥ 65 years in Korea, "concurrent use" was defined as the overlapping of anticholinergic and ACHEI doses for at least 2 months.Results: Among 8,845 PD patients with dementia, 847 (9.58%) were co-administered anticholinergics, used to treat the motor symptoms of PD, and ACHEIs for a mean duration of 7.7 months. A total of 286 (33.77% of all co-administered) patients used both drug types concurrently all year. About 80% of concurrent users were prescribed each drug by the same prescriber, indicating that coadministration may not be due to a lack of information sharing between providers. Logistic regression analysis showed that patients mainly treated at clinics (odds ratio (OR), 1.541; 95% confidence interval (CI), 1.158-2.059), hospitals (OR, 2.135; 95% CI, 1.586-2.883), and general hospitals (OR, 1.568; 95% CI, 1.221-2.028) were more likely to be co-prescribed anticholinergics and ACHEIs than those mainly treated at tertiary-care hospitals. PD patients with dementia treated at healthcare organizations located in areas other than the capital city had an approximately 22% higher risk of concurrent use (OR: 1.227, 95% CI: 1.046-1.441).Conclusions: The concurrent use of anticholinergics for the motor symptoms of PD and ACHEIs in elderly Korean PD patients with dementia cannot be ignored, and strategies that mitigate potentially inappropriate concurrent drug use are required. [ABSTRACT FROM AUTHOR]

Introduction: We aimed to clarify medical expenses in Japanese individuals before and after major depressive disorder (MDD) diagnosis, and to determine whether MDD treatment also reduces medical costs for comorbid physical conditions. Methods: This was an exploratory, descriptive, retrospective analysis of insurance claims data from JMDC Inc. Cohort A included individuals aged 18–64 years between January 2015 and December 2019. Cohorts B and C included Cohort A individuals with diabetes/hypertension ('chronic disease'), and sleep/anxiety disorders ('high depression risk'), respectively. Individuals in Cohorts A–C with an MDD diagnosis were analyzed by year of MDD onset (Cohorts A–CMDD2015–2019). Diagnoses and median medical costs were derived from International Classification of Diseases 10 codes. Results: Total medical and non-neuropsychiatric drug costs in MDD onset years were 170,390–182,120 and 8480–9586 yen higher, respectively, for Cohorts AMDD2015–2019 than for Cohort A. In Cohort AMDD2019, total medical and non-neuropsychiatric drug costs increased incrementally from 2015 to 2019 (total changes: + 165,130 and + 7365 yen, respectively), to a greater degree than in Cohort A (+ 10,510 and + 1246 yen, respectively). Neuropsychiatric drug costs increased in the year of MDD onset only and decreased thereafter. After MDD onset, decreases in total medical and non-neuropsychiatric drug costs were observed (Cohorts AMDD2015–2019). Non-neuropsychiatric drug costs also decreased after MDD onset in the chronic disease groups (Cohorts CMDD2015–2019), but not in patients with MDD recurrence. Conclusion: Treating MDD reduces medical costs for comorbid physical conditions and may be a useful strategy for improving healthcare efficiency in Japan. [ABSTRACT FROM AUTHOR]

Objective: Self-harm risk prediction models developed using health system data (electronic health records and insurance claims information) often use patient information from up to several years prior to the index visit when the prediction is made. Measurements from some time periods may not be available for all patients. Using the framework of algorithm-agnostic variable importance, we study the predictive potential of variables corresponding to different time horizons prior to the index visit and demonstrate the application of variable importance techniques in the biomedical informatics setting., Materials and Methods: We use variable importance to quantify the potential of recent (up to three months before the index visit) and distant (more than one year before the index visit) patient mental health information for predicting self-harm risk using data from seven health systems. We quantify importance as the decrease in predictiveness when the variable set of interest is excluded from the prediction task. We define predictiveness using discriminative metrics: area under the receiver operating characteristic curve (AUC), sensitivity, and positive predictive value., Results: Mental health predictors corresponding to the three months prior to the index visit show strong signal of importance; in one setting, excluding these variables decreased AUC from 0.85 to 0.77. Predictors corresponding to more distant information were less important., Discussion: Predictors from the months immediately preceding the index visit are highly important. Implementation of self-harm prediction models may be challenging in settings where recent data are not completely available (e.g., due to lags in insurance claims processing) at the time a prediction is made., Conclusion: Clinically derived variables from different time frames exhibit varying levels of importance for predicting self-harm. Variable importance analyses can inform whether and how to implement risk prediction models into clinical practice given real-world data limitations. These analyses be applied more broadly in biomedical informatics research to provide insight into general clinical risk prediction tasks., Competing Interests: CONFLICTS OF INTEREST K.J.C. has worked on grants awarded to Kaiser Permanente Southern California by Janssen Pharmaceuticals. S.M.S. has worked on grants awarded to Kaiser Permanente Washington Health Research Institute (KPWHRI) by Bristol Meyers Squibb and by Pfizer. She was also a co-investigator on grants awarded to KPWHRI from Syneos Health, who represented a consortium of pharmaceutical companies carrying out FDA-mandated studies regarding the safety of extended-release opioids. The other authors report there are no competing interests to declare.

Objectives: Creation of new algorithms to identify pregnancies in automated health care claims databases is of public health importance, as it allows us to learn more about medication use and safety in a vulnerable population. Previous algorithms were largely created using international classification of disease codes, but despite the U.S. code transition in 2015, few algorithms are available with the latest ICD‐10‐CM codes. Methods: Using U.S. IBM MarketScan® Commercial Claims and Encounters and Multi‐State Medicaid databases for women aged 10–64 years during 2014 and 2016, two pregnancy algorithms (ICD‐9‐CM and ICD‐10‐CM) were created using expert clinical review. The algorithms were evaluated by assessing the distribution of pregnancy outcomes (live birth and pregnancy losses) within each time‐based cohort and the ability of the algorithms to identify select medication use during pregnancy. Medication exposure, demographics, comorbidities, and pregnancy outcomes were compared to published literature estimates for the two time periods. Results: For the IBM MarketScan® Commercial database, the algorithms identified 687,228 pregnancies in 2014 and 444,293 in 2016. In the IBM MarketScan® Medicaid database, 389,132 pregnancies in 2014 and 406,418 in 2016 were identified. Percentages of most pregnancy outcomes identified using the algorithms were similar to national data sources; however, percentages of preterm births and pregnancy losses were not comparable. Most medication use estimates from the algorithms were similar to or higher than published estimates. Conclusions: By incorporating the latest ICD‐10‐CM codes, the new algorithms provide more complete estimates of medication use during pregnancy than algorithms using the outdated codes. [ABSTRACT FROM AUTHOR]

Background: Human papillomavirus (HPV) infection can cause various cancers and can be prevented through vaccination. The American Cancer Society (ACS) has set an HPV vaccination completion target in 13-year-old children to 80% by 2026. While HPV vaccine coverage (proportion ever vaccinated) estimates are available, annual uptakes (proportion initiating vaccine in a year) in the United States (U.S.) are not well-known.Methods: We analyzed MarketScan® claims database to assess HPV vaccination uptakes in the U.S. among the 9- to 26-year-olds in 2006-2016. The annual uptake was the ratio of the number of enrollees who had a first record of an HPV vaccine during the year, and the number of enrollees of similar age and sex that year.Results: Uptake was below 1% among children turning 9 and 10 years old during the year. Since 2009 among female and since 2013 among males, the annual uptake has been the highest in those turning 13 years old (19.7% among females and 17.6% among males in 2016). Catch-up vaccination among older adolescents and young adults increased after Advisory Committee for Immunization Practices (ACIP) recommendations, but eventually slowed down as more younger persons were vaccinated. Most young adolescents were vaccinated by pediatricians, whereas young adult women were predominantly vaccinated by obstetricians/gynecologists and young adult males by family physicians. While only about half of the adolescents had well-check visits, the majority of those who initiated HPV vaccination had one the same year.Conclusion: Continued increase in uptake is needed to reach the ACS 2026 goals. [ABSTRACT FROM AUTHOR]

Studies show increasing use of urgent care centers (UCCs) and there is interest in evaluating their potential for cost savings. Previous research provides limited information on generalizable methods of identifying urgent care centers and does not validate these methods. The objective of this study is to describe and validate two claims-based UCC definitions. We used FAIR Health insurance claims from 444,263 organization National Provider Identifiers (NPIs) with at least 10 claims, January 2016–March 2019 and merged this data with National Plan and Provider Enumeration System data. The first definition required (1) a UCC place of service code (POS), (2) ≥ 10% Current Procedure Terminology (CPT) codes specific to UCCs, or (3) a UCC taxonomy code in the primary field. The second definition relaxed these criteria. A random sample of 5% of NPIs identified as UCCs were validated through internet searches. Prevalence and positive predictive value (PPV) were calculated for both definitions. The first definition identified 6669 (1.5%) of NPIs as UCCs resulting in a PPV of 92%. The second definition identified 8261 (1.9%) of NPIs as UCCs and had a PPV of 87%. Out of NPIs identified under the first definition, 96% were identified using POS codes, 50% were identified using taxonomy codes, and 46% using CPT codes, with 62% of NPIs meeting multiple criteria. Findings suggest that these methods may be used by researchers to identify UCCs in studies of cost or utilization in different healthcare settings. [ABSTRACT FROM AUTHOR]

Background Seasonal influenza remains a global health problem; however, there are limited data on the specific relative risks for pneumonia and death among outpatients considered to be at high risk for influenza complications. This population-based study aimed to develop prediction models for determining the risk of influenza-related pneumonia and death. Methods We included patients diagnosed with laboratory-confirmed influenza between 2016 and 2017 (main cohort, n = 25 659), those diagnosed between 2015 and 2016 (validation cohort 1, n = 16 727), and those diagnosed between 2017 and 2018 (validation cohort 2, n = 34 219). Prediction scores were developed based on the incidence and independent predictors of pneumonia and death identified using multivariate analyses, and patients were categorized into low-, medium-, and high-risk groups based on total scores. Results In the main cohort, age, gender, and certain comorbidities (dementia, congestive heart failure, diabetes, and others) were independent predictors of pneumonia and death. The 28-day pneumonia incidence was 0.5%, 4.1%, and 10.8% in the low-, medium-, and high-risk groups, respectively (c-index, 0.75); the 28-day mortality was 0.05%, 0.7%, and 3.3% in the low-, medium-, and high-risk groups, respectively (c-index, 0.85). In validation cohort 1, c-indices for the models for pneumonia and death were 0.75 and 0.87, respectively. In validation cohort 2, c-indices for the models were 0.74 and 0.87, respectively. Conclusions We successfully developed and validated simple-to-use risk prediction models, which would promptly provide useful information for treatment decisions in primary care settings. [ABSTRACT FROM AUTHOR]

To characterize the US national level healthcare utilization patterns of patients with commercial insurance plans before and after a psychiatric hospitalization admitted through the emergency department (ED) using insurance claims data. We identified 34,250 patients from multiple commercial health insurance providers across the US who meet our eligibility criteria. We summarized their healthcare encounters and used logistic regression models to study the patterns of healthcare utilization including prior visits, outpatient follow-ups, and hospital- or ED-readmissions. Suicidal ideation was highly prevalent at the time of the index event (29.88%). Almost half of the patients (48.28%) had healthcare encounters with the same primary diagnosis one year before admission, about 5% had outpatient follow-ups or were readmitted to the hospital or ED 7 days post discharge. The post 30-day follow-ups and readmission rates were slightly higher. In general, older patients were less likely to have prior visits, follow-ups, or readmissions, and patients with SUDs, specifically alcohol dependence, opioid dependence/abuse, and stimulant dependence, were more likely to have outpatient follow-ups. Patterns of patients' prior visits, follow-ups, and readmissions varied by demographics and psychiatric comorbidity. Additional studies are needed to further explain the spatial variations of utilization patterns. [ABSTRACT FROM AUTHOR]

Background: Little is known about strategies for enrolling patients in home-based palliative care programs despite the need to conduct effectiveness studies of this emerging industry.Purpose: We used medical claims data from Accountable Care Organizations in California to identify patients for a randomized controlled trial of home-based palliative care. We report outcomes from this strategy and the implications for future research.Results: Claims data identified 1357 patients. Research assistants could not reach 986 patients (72.7%), usually because the phone calls went unanswered (38.5%) and many patients' phone numbers were missing or incorrect (16.3%). Of 371 patients reached, 163 opted out. Of 208 patients screened, 177 were ineligible for the trial. Just 10 patients were enrolled.Recommendations: Our findings suggest that medical claims data may not be useful for engaging patients potentially eligible for palliative care research trials. We recommend that alternative identification and recruitment strategies be considered. [ABSTRACT FROM AUTHOR]

The geographical imbalance of the healthcare workforce is a social problem in Japan. Except for big cities, hospitals have difficulties in securing a sufficient workforce to offer healthcare services stably. For local government, hospital service suspensions are potentially an essential indicator to figure out the capacity of the regional healthcare supply. This paper proposes an algorithm that automatically identifies and classifies hospital service suspensions from insurance claims data, based on periodicity and similarity. To verify the effectiveness, we have applied the algorithm to the insurance claim dataset, which has been provided 91 regional public insurers in Japan. The case studies have confirmed that the proposed algorithm has presented an evidential picture of hospital service suspensions, which is potentially useful to understand the actual capacity of healthcare service supply in regions. [ABSTRACT FROM AUTHOR]

As Japan's population continues to age rapidly, the national government has implemented several measures to improve the efficiency of healthcare services and to control rising medical expenses for older patients. One such measure was the revision of the medical fee schedule for physician home visits in April 2014, in which eligibility for these visits was restricted to patients who are unable to visit outpatient clinics without assistance. Through an investigation of patients who were receiving physician home visits in Tokyo, this study examines whether this fee schedule revision resulted in an increase in patients who transitioned from home visits to outpatient care. In a retrospective analysis of health insurance claims data, we examined 80,914 Tokyo residents aged 75 years or older who had received at least one physician home visit between January and May 2014. The study period was divided into four periods (January–February, February–March, March–April, and April–May), and we examined the number of patients receiving home visits in the index month of each period who subsequently transitioned to outpatient care in the following month. Potential factors associated with this transition to outpatient care were examined using a generalised estimating equation. The March–April period that included the fee schedule revision was significantly associated with a higher number of patients who transitioned from home visits in the index month to outpatient care in the following month (odds ratio: 4.46, p < 0.001) than the other periods. In addition, patients receiving home visits at residential facilities were more likely to transition to outpatient care (odds ratio: 10.40, p < 0.001). These findings indicate that the fee schedule revision resulted in an increase in patients who ceased physician home visits and began visiting outpatient clinics for treatment. [ABSTRACT FROM AUTHOR]

Summary: Osteoporosis is a well-known bone disorder affecting people worldwide. Patients with osteoporosis have an increased risk of bone fracture. This study provides new information on the risk of developing osteoporosis post burn injury and the risk of fracture among those with osteoporosis developed. Introduction: The relationship between burn injury and hip fracture risk is unclear. Population-based evaluation on relationships between burn injury and osteoporosis development and subsequent fractures is limited. We conducted a retrospective cohort study as the investigation. Methods: From the insurance data of Taiwan, we established a cohort of 43,532 patients with a burn injury in 2000–2012 and a comparison cohort of 174,124 individuals without such an injury, frequency matched by sex, age, and diagnosis date. Both cohorts were followed up to the end of 2013 to evaluate the occurrence of osteoporosis and hip fracture. Results: The incidence of osteoporosis was greater in the burn cohort than in the comparison cohort (6.40 vs. 4.75 per 1,000 person-years) with an adjusted IRR of 1.35 (95% confidence interval = 1.32–1.39). The incidence rates in both cohorts were greater in women than in men, increased with age, income, and Charlson comorbidity index. Patients with burns involving 20%–49% of total body surface area and with burns confined to the lower/upper limbs had the greatest incidence rates, 8.32 and 8.58 per 1,000 person-years, respectively. Osteoporosis incidence increased further to 22.7 per 1,000 person-years for burn victims with comorbid diabetes. The risk of fracture was over five-fold greater for burn victims with osteoporosis developed than for comparisons without osteoporosis. Conclusion: Patients who have a burn injury deserve prevention intervention to reduce the risk of osteoporosis and fracture. [ABSTRACT FROM AUTHOR]

Jimin Lee,1 Yoojin Noh,1 Sooyoung Shin,1 Hong-Seok Lim,2 Rae Woong Park,3 Soo Kyung Bae,4 Euichaul Oh,4 Grace Juyun Kim,5 Ju Han Kim,5 Sukhyang Lee1 1Division of Clinical Pharmacy, College of Pharmacy, Ajou University, Suwon, South Korea; 2Department of Cardiology, School of Medicine, Ajou University, Suwon, South Korea; 3Department of Biomedical Informatics, School of Medicine, Ajou University, Suwon, South Korea; 4Division of Pharmaceutical Sciences, College of Pharmacy, The Catholic University of Korea, Bucheon, South Korea; 5Division of Biomedical Informatics, College of Medicine, Seoul National University, Seoul, South Korea Abstract: Statin therapy is beneficial in reducing cardiovascular events and mortalities in patients with atherosclerotic cardiovascular diseases. Yet, there have been concerns of increased risk of diabetes with statin use. This study was aimed to evaluate the association between statins and new onset diabetes mellitus (NODM) in patients with ischemic heart disease (IHD) utilizing the Korean Health Insurance Review and Assessment Service claims database. Among adult patients with preexisting IHD, new statin users and matched nonstatin users were identified on a 1:1 ratio using proportionate stratified random sampling by sex and age. They were subsequently propensity score matched further with age and comorbidities to reduce the selection bias. Overall incidence rates, cumulative rates and hazard ratios (HRs) between statin use and occurrence of NODM were estimated. The subgroup analyses were performed according to sex, age groups, and the individual agents and intensities of statins. A total of 156,360 patients (94,370 in the statin users and 61,990 in the nonstatin users) were included in the analysis. The incidence rates of NODM were 7.8% and 4.8% in the statin users and nonstatin users, respectively. The risk of NODM was higher among statin users (crude HR 2.01, 95% confidence interval [CI] 1.93–2.10; adjusted HR 1.84, 95% CI 1.63–2.09). Pravastatin had the lowest risk (adjusted HR 1.54, 95% CI 1.32–1.81) while those who were exposed to more than one statin were at the highest risk of NODM (adjusted HR 2.17, 95% CI 1.93–2.37). It has been concluded that all statins are associated with the risk of NODM in patients with IHD, and it is believed that our study would contribute to a better understanding of statin and NODM association by analyzing statin use in the real-world setting. Periodic screening and monitoring for diabetes are warranted during prolonged statin therapy in patients with IHD. Keywords: Atorvastatin, Fluvastatin, Lovastatin, Rosuvastatin, Pitavastatin, Pravastatin, Simvastatin, Ischemic heart disease, IHD, new onset diabetes mellitus, NODM

Purpose: To investigate the types of strabismus surgeries performed and the reoperation rate in patients with Duane retraction syndrome (DRS)., Design: Retrospective cohort analysis., Participants: An insurance claims data set was used to identify patients diagnosed with DRS between 2007 and 2021., Methods: We recorded the type of strabismus surgery performed and the timing and frequency of reoperations. The hazard ratios (HRs) for reoperation were estimated according to the surgical methods using Cox regression analysis., Results: Of the 9435 patients diagnosed with DRS, 1023 (10.8%) underwent ≥ 1 strabismus operation. The median age at surgery was 5.0 years, and patients were followed for an average of 3.8 ± 3.0 years after their initial strabismus surgery. Most of the surgeries only involved horizontal muscle(s) (n = 734 [71.7%]). However, some patients underwent surgeries on vertical muscle(s) (n = 132 [12.9%]), vertical muscle(s) with transposition (n = 102 [10.0%]), and horizontal muscle with transposition (n = 51 [5.0%]). The estimated 5-year rate of reoperation was 18.2% (95% confidence interval [CI], 15.0%-22.2%). Compared with surgery on horizontal muscle(s) only, vertical muscle surgery (HR, 2.01; 95% CI, 1.30-3.11; P  = 0.002) and vertical muscle surgery coupled with transposition (HR, 1.79; 95% CI, 1.06-3.02; P  = 0.03) had an increased risk of reoperation., Conclusions: Strabismus surgery on ≥ 1 horizontal muscles is the most common type of strabismus surgery performed on patients with DRS. Approximately 1 in 7 patients with DRS who had strabismus surgery underwent a reoperation. Patients who underwent vertical muscle surgery had a higher risk of undergoing a reoperation., Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article., (© 2024 by the American Academy of Ophthalmology.)

Objective: Geography may influence the relationships of predictors for suicidal ideation (SI) and suicide attempts (SA) in children and youth., Method: This is a nationwide retrospective cohort study of 124,424 individuals less than 25 years of age using commercial claims data (2011-2015) from the Health Care Cost Institute. Outcomes were time to SI or SA within 3 months after the indexed mental health or substance use disorder (MH/SUD) outpatient visit. Predictors included sociodemographic and clinical characteristics up to 3 years before the index event., Results: At each follow-up time period, rates of SI and SA varied by the US geographic division ( p < .001), and the Mountain Division consistently had the highest rates for both SI and SA (5.44%-10.26% for SI; 0.70%-2.82% for SA). Having MH emergency department (ED) visits in the past year increased the risk of SI by 28% to 65% for individuals residing in the New England, Mid-Atlantic, East North Central, West North Central, and East South Central Divisions. The main effects of geographic divisions were significant for SA (p<0.001). Risk of SA was lower in New England, Mid-Atlantic, South Atlantic, and Pacific (hazard ratios = 0.57, 0.51, 0.67, and 0.79, respectively) and higher in the Mountain Division (hazard ratio = 1.46)., Conclusion: To understand the underlying mechanisms driving the high prevalence of SI and SA in the Mountain Division and the elevated risk of SI after having MH ED visits, future research examining regional differences in risks for SI and SA should include indicators of access to MH ED care and other social determinants of health., Competing Interests: Disclosure: Dr. Pathak is the Cofounder of Iris OB Health Inc., New York and has equity ownership. Drs. Xi, Banerjee, Zima, Alexopoulos, Olfson, and Xiao have reported no biomedical financial interests or potential conflicts of interest.

The Tweedie GLM is a widely used method for predicting insurance premiums. However, the structure of the logarithmic mean is restricted to a linear form in the Tweedie GLM, which can be too rigid for many applications. As a better alternative, we propose a gradient tree-boosting algorithm and apply it to Tweedie compound Poisson models for pure premiums. We use a profile likelihood approach to estimate the index and dispersion parameters. Our method is capable of fitting a flexible nonlinear Tweedie model and capturing complex interactions among predictors. A simulation study confirms the excellent prediction performance of our method. As an application, we apply our method to an auto-insurance claim data and show that the new method is superior to the existing methods in the sense that it generates more accurate premium predictions, thus helping solve the adverse selection issue. We have implemented our method in a user-friendly R package that also includes a nice visualization tool for interpreting the fitted model. [ABSTRACT FROM AUTHOR]

Background In the United States, the Advisory Committee on Immunization Practices (ACIP) has recommended routine human papillomavirus (HPV) vaccination at age 11–12 years since 2006 for girls and since 2011 for boys. ACIP also recommends vaccination through age 26 for females and through age 21 for males; males may be vaccinated through age 26. We describe vaccine uptake in adolescents and young adults using data from MarketScan Commercial Claims and Encounters. Methods We analyzed data on persons aged 11–26 years on December 31, 2014 who were continuously enrolled in a MarketScan health plan from age 11 through year 2014, or from 2006 to 2014 if aged ≥11 years in 2006 (916,513 females, 951,082 males). Individuals were grouped based on their age (years) in 2014: 11–12 (born 2002–03), 13–14 (2000–01), 15–16 (1998–99), 17–18 (1996–97), 19–21 (1993–95), and 22–26 (1988–1992). We calculated cumulative coverage with ≥1 HPV vaccine dose by sex, birth cohort, and calendar year. Results In females, the proportion initiating vaccination at age 11–12 years was low in 2008 and 2010 (12.6% and 11.1%) and higher in 2012 (15.7%) and 2014 (19.5%); in males, initiation at age 11–12 was 0.9% in 2010, 8.3% in 2012, and 15.1% in 2014. In females who aged into vaccine eligibility, cumulative coverage by 2014 was higher in older cohorts (17–18: 53%; 15–16: 47%; 13–14: 39%; 11–12: 19.5%). For males, cumulative coverage by 2014 was similar in those aged 13–14, 15–16, and 17–18 years (28.9%, 32.5%, 30.3%), and lower in those aged 11–12 (15.1%), 19–21 (18.4%), and 22–26 years (4.5%). Conclusion The proportion of males and females initiating vaccination at the recommended ages was low. Although more females than males were vaccinated in all cohorts, the male–female differences were smaller in younger than older cohorts. The trajectory of male vaccination uptake could signal higher acceptability in males. [ABSTRACT FROM AUTHOR]

Background: In Europe, scant information is available about prescription practices for pain medications. The aim of this research was to assess changes in prescription rates of non-opioid, weak opioid, and strong opioid medications between 2006 and 2013 in the Swiss population.Methods: Using insurance claims data covering one-sixth of the Swiss population, we analyzed the numbers of reimbursed pain medications, the number of reimbursements per persons, and the cumulative dose in milligrams. For opioids, the morphine equivalent dose and treatment days were calculated. Data were extrapolated to the dose per day per 100'000 population stratified by age, gender, and canton.Results: In total, 4'746'942 paracetamol, 2'156'620 NSAIDs or Coxibs, 931'129 metamizole, 1'322'272 weak opioid, and 807'835 strong opioid claims were analyzed. Between 2006 and 2013, the increase in claims per 100'000 persons was 32% for paracetamol, 242% for metamizole, 107% for NSAIDS, 86% for Coxibs, 13% for weak opioids, and 121% for strong opioids. For strong opioids the total MED in mg /100'000 increased by 117%, the treatment days /100'000 by 101%. For strong opioids, fentanyl was most frequently used (increase between 2006 and 2013 by 91% for MED/100'000 persons and 94% treatment days / 100'000) followed by buprenorphine and oxycodone. The highest proportional increase in MED / 100'000 was observed for methadone (+1414%) and oxycodone (+313%). Marked geographical variation was detected in the use of metamizole, paracetamole, and strong opioids in different cantons.Conclusion: The analysis of insurance claims data provides evidence that the prescription rates for pain medications increased in Switzerland within the last ten years, in particular for metamizole and strong opioids. Furthermore, the prescription rates for metamizole, paracetamol, and strong opioids varied substantially between different cantons in Switzerland. [ABSTRACT FROM AUTHOR]

An ageing population correlates with rising needs for long-term care ( LTC). Support programmes should consider the specific needs of the various subgroups of care dependents and family caregivers. The objective of this study was to analyse the gender-specific disparities in home-care arrangements in Germany, and for this purpose, survey and insurance claims data were used. A survey of 2545 insured care recipients with high-level care needs was conducted in 2012 with the Barmer GEK, a major German statutory healthcare insurance. Insurance claims data were provided for a follow-up, focussing on the group aged 60 years and older. For statistical comparison, chi-squared test and t-tests were used, and a p-value < 0.05 was considered statistically significant. Most care recipients are female, and they are on average 2 years older than males. Men receive family care mostly from their wives, whereas widows frequently live alone and receive care from daughters, sons, other relatives, neighbours and friends, as well as from professional nursing services. Furthermore, women more often anticipate the need for (further) professional assistance and move in with a relative or to an assisted living facility or a nursing home in good time. The desired rate for relocation to a nursing home was higher than the anticipated, and during the 6-month follow-up, the actual rate of relocations was in between both. In summary, the caring situation of men and women is different. Care-receiving men are most often cared for by their wives. Widowed women need a social network and their children in order to remain in their own home. To provide better home-care arrangements for women in this situation, the family and social networks need a stronger focus in politics and research. To stabilise the home-care situation of men with high-level care needs, their wives need more support. [ABSTRACT FROM AUTHOR]

Purpose: To describe how computer-assisted presentation of case data can lead experts to infer machine-implementable rules for case definition in electronic health records. As an illustration the technique has been applied to obtain a definition of acute liver dysfunction (ALD) in persons with inflammatory bowel disease (IBD).Methods: The technique consists of repeatedly sampling new batches of case candidates from an enriched pool of persons meeting presumed minimal inclusion criteria, classifying the candidates by a machine-implementable candidate rule and by a human expert, and then updating the rule so that it captures new distinctions introduced by the expert. Iteration continues until an update results in an acceptably small number of changes to form a final case definition.Results: The technique was applied to structured data and terms derived by natural language processing from text records in 29,336 adults with IBD. Over three rounds the technique led to rules with increasing predictive value, as the experts identified exceptions, and increasing sensitivity, as the experts identified missing inclusion criteria. In the final rule inclusion and exclusion terms were often keyed to an ALD onset date. When compared against clinical review in an independent test round, the derived final case definition had a sensitivity of 92% and a positive predictive value of 79%.Conclusion: An iterative technique of machine-supported expert review can yield a case definition that accommodates available data, incorporates pre-existing medical knowledge, is transparent and is open to continuous improvement. The expert updates to rules may be informative in themselves. In this limited setting, the final case definition for ALD performed better than previous, published attempts using expert definitions. [ABSTRACT FROM AUTHOR]

Background: COVID-19 has been observed to be associated with venous and arterial thrombosis. The inflammatory disease prolongs hospitalization, and preexisting comorbidities can intensify thrombotic burden in COVID-19 patients. However, venous thromboembolism, arterial thrombosis, and other vascular complications may go unnoticed in critical care settings. Early risk stratification is paramount in the COVID-19 patient population for proactive monitoring of thrombotic complications.Objective: This exploratory research seeks to characterize thrombotic complication risk factors associated with COVID-19 using information from Electronic Health Record (EHR) databases and insurance claims databases. The goal is to develop an approach for analysis using real-world data evidence that can be generalized to characterize thrombotic complications and additional conditions in other clinical settings as well, such as pneumonia or acute respiratory distress syndrome in COVID-19 patients or in ICU settings.Methods: We extracted deidentified patient data from the insurance claims database, IBM MarketScan, and formulated hypotheses on thrombotic complications in COVID-19 patients with respect to patient demographic and clinical factors using logistic regression. The analysis then verified the hypotheses with deidentified patient data from the Mass General Brigham (MGB) patient EHR database, the Research Patient Data Registry (RPDR). A combination of odds ratios, 95% confidence intervals (CI), and P-values were obtained via the statistical analysis.Results: The analysis identified significant predictors (with P-value <.001) for thrombotic complications in 184,831 COVID-19 patients out of the millions of records from IBM MarketScan and MGB RPDR. With respect to age groups, patients 60 years old and older had higher odds (4.866 in Marketscan and 6.357 in RPDR) to have thrombotic complications than those under 60 years old. In terms of gender, men were more likely (odds ratio of 1.245 in Marketscan and 1.693 in RPDR) to have thrombotic complications than women. Among the pre-existing comorbidities, heart disease, cerebrovascular diseases, hypertension, and personal history of thrombosis all had significantly higher odds of developing a thrombotic complication. Cancer and obesity had odds greater than 1 as well. The results from RPDR validated the IBM MarketScan findings. They are largely consistent and afford mutual enrichment.Conclusions: The analysis approach can work across heterogeneous databases from diverse organizations and thus facilitates collaboration. Searching through millions of patient records, the analysis helped identify factors influencing a phenotype. Use of thrombotic complications in COVID-19 patients is just a case study, and the same design can be used across other disease areas by extracting corresponding disease specific patient data from the databases.Clinicaltrial: [ABSTRACT FROM AUTHOR]

The relationship between Holter electrocardiography (ECG) and atrial fibrillation (AF) diagnosis in the real world has not been widely evaluated in Japan.This is a claims-based retrospective study using a health insurance claims database provided by DeSC Healthcare Corporation. We identified patients with at least one Holter for any purpose during the data period from April 2015 to November 2020 and without diagnosis of AF before the tests (n = 19,739). We obtained a whole picture of Holter and AF diagnosis after correcting for population distribution bias in the dataset. Based on this picture and the assumption that the patient had AF at the 1 st Holter whose AF was detected for the first time at the second or subsequent Holter, we estimated the number of diagnosis with AF and overlooked AF by initial Holter. We conducted sensitivity analyses changing the definition of AF, the potential detection period, and the washout period (a period required to avoid including patients who have already been diagnosed with AF or who have already undergone several Holters) to confirm the validity of the base scenario.Among patients for analysis, 88.4% had only one Holter. The percentage of AF diagnosis by initial Holter was 7.6%. The percentage of AF overlooked by initial Holter was estimated to be 31.4% and this value did not change much by sensitivity analyses.It was estimated that approximately 30% of AF patients were overlooked by initial Holter, and reducing the overlooked rate will be a clinical challenge.

Abstract: Purpose: Epilepsy is well known as a disorder in poststroke patients. However, studies that have investigated the association between epilepsy and the risk of subsequent stroke are limited. This population-based study investigated the incidence and risk of stroke in patients with epilepsy by using the Taiwan National Health Insurance claims data. Methods: We identified 3812 patients newly diagnosed with epilepsy in 2000–2008 and 15,248 nonepilepsy comparisons frequency matched according to sex, age, and index year. We searched for subsequent stroke diagnoses in both cohorts until the end of 2009. The incidence rates and hazard ratios of stroke were estimated based on sex, age, the average defined daily doses (DDDs) of antiepilepsy drugs, and comorbidity. Results: The stroke incidence of the epilepsy cohort was 3-fold higher than that of the comparison cohort. The age-specific results indicated that in the epilepsy cohort and the comparison cohort, the risk was the highest for the youngest group (20–39 years). Conclusion: The patients with epilepsy exhibited a higher incidence of cerebral stroke than the general population did. In addition, younger patients with epilepsy and patients who took a high doses of antiepileptic drugs exhibited a high risk of stroke. [Copyright &y& Elsevier]

Abstract: We study the Medicare Part D prescription drug insurance program as a bellwether for designs of private, non-mandatory health insurance markets, focusing on the ability of consumers to evaluate and optimize their choices of plans. Our analysis of administrative data on medical claims in Medicare Part D suggests that fewer than 25% of individuals enroll in plans that are ex ante as good as the least cost plan specified by the Plan Finder tool made available to seniors by the Medicare administration, and that consumers on average have expected excess spending of about $300 per year, or about 15% of expected total out-of-pocket cost for drugs and Part D insurance. These numbers are hard to reconcile with decision costs alone; it appears that unless a sizeable fraction of consumers place large values on plan features other than cost, they are not optimizing effectively. [Copyright &y& Elsevier]

Background: Adjusting for laboratory test results may result in better confounding control when added to administrative claims data in the study of treatment effects. However, missing values can arise through several mechanisms. Methods: We studied the relationship between availability of outpatient lab test results, lab values, and patient and system characteristics in a large healthcare database using LDL, HDL, and HbA1c in a cohort of initiators of statins or Vytorin (ezetimibe & simvastatin) as examples. Results: Among 703,484 patients 68% had at least one lab test performed in the 6 months before treatment. Performing an LDL test was negatively associated with several patient characteristics, including recent hospitalization (OR = 0.32, 95% CI: 0.29-0.34), MI (OR = 0.77, 95% CI: 0.69-0.85), or carotid revascularization (OR = 0.37, 95% CI: 0.25-0.53). Patient demographics, diagnoses, and procedures predicted well who would have a lab test performed (AUC = 0.89 to 0.93). Among those with test results available claims data explained only 14% of variation. Conclusions: In a claims database linked with outpatient lab test results, we found that lab tests are performed selectively corresponding to current treatment guidelines. Poor ability to predict lab values and the high proportion of missingness reduces the added value of lab tests for effectiveness research in this setting. [ABSTRACT FROM AUTHOR]

Abstract: Objective: Rising life expectancy is associated with higher prevalence rates of dementia disorders. When disease progresses the patients'' call on formal health care services and on social support grows which imposes increasing costs of care. The aim of this study was to investigate the costs for patients with mild and moderate dementia in community setting in Germany. Methods: We assessed total costs of care and individual cost components for 383 community-living dementia patients alongside a cluster-randomized trial from societal and health insurance perspective. Utilization of formal health care services was based on insurance claims data and time dedicated to informal care was assessed within caregiver interviews. We estimated costs using a two-part regression model adjusting for age, gender and cluster-effects. Results: Costs of care equal €47,747 (Euros) from societal perspective which is almost the 4.7-fold of health insurance expenditures. Valued informal care covers 80.2% of societal costs and increases disproportionally when disease progresses. In moderate dementia the corresponding amount exceeds the one in mild dementia by 69.9%, whereas costs for formal health care services differ by 14.3%. Conclusion: Due to valued informal care, costs of care for community-living patients with moderate dementia are significantly higher than for patients with mild dementia. Informal care is a non-cash item saving expenditures for professional care. To relieve social security system and family caregivers as well as to allow dementia patients to stay at home as long as possible, concepts fostering community-based dementia care and support to family caregivers need to be further developed. [Copyright &y& Elsevier]

Adults with congenital (cerebral palsy or spina bifida (CP/SB)) or acquired disabilities (spinal cord injury (SCI) or multiple sclerosis (MS)) have higher incidence of age-related health conditions. There is a gap in the literature about the risk of dementia among adults living with these disabilities. This study aimed to examine time to incidence of Alzheimer's disease and related dementia (ADRD) among these disability cohorts. Incidence of ADRD was compared at 4-years. Cox Regression was used to estimate adjusted hazard ratios (aHR) for incident early and late onset ADRD. Using national private payer claims data from 2007-2017, we identified adults (45+) with diagnosis of CP/SB (n=7,226), SCI (n=6,083), and MS (n=6,025). Adults without disability diagnosis were included as controls. Using age, sex, race/ethnicity, cardiometabolic, psychologic, and musculoskeletal chronic conditions, and socioeconomic variables, we propensity score matched persons with and without disabilities. We identified adults (45+) with diagnosis of CP/SB (n=7,226), SCI (n=6,083), and MS (n=6,025). Adults without disability diagnosis were included as controls. The exposure variable was diagnosis with either congenital or acquired disability. Main outcome variable was incident Alzheimer's disease and related dementia. Incidence of early and late onset ADRD were substantially higher among people with disabilities compared to their non-disabled counterparts. Adults with CP, SCI, and MS had higher risk for early [CP/SB: aHR= 3.35 (95% CI: 2.18-5.14); SCI: aHR=1.93 (95% CI:1.06-3.51); and MS: aHR=4.49 (95% CI:2.62-7.69)] and late [CP: aHR=1.68 (95% CI:1.38-2.03); SCI: aHR: 1.77 (95% CI:1.55-2.02); and MS: aHR=1.26 (95% CI:1.04, 1.54)] onset ADRD. Risk of ADRD was higher among adults with CP/SB, SCI, and MS compared to their matched cohort without disability. Investment in early screening and use of therapeutic or rehabilitative services that may help preserving cognitive function among these patient cohorts is warranted. There is no conflict of interest to disclose. [ABSTRACT FROM AUTHOR]

Using the claims data of one million insured residents in Taiwan from 1996-2013, this study identified 12,126 women in an urban city (Taichung) and 7229 women in a rural county (Yunlin), aged 20 and above. We compared Papanicolaou (Pap) test uses and cervical cancer detection rates between urban and rural women. Results showed that the Pap screening rate was slightly higher in rural women than in urban women (86.1 vs. 81.3 percent). The cervical cancer incidence was much greater for women without Pap test than women with the test (35.8 vs. 9.00 per 1000 in rural women and 20.3 vs. 7.00 per 1000 in urban women). Nested case-control analysis showed that Pap test receivers had an adjusted odds ratio (OR) of 0.35 (95% CI = 0.25-0.51) to be diagnosed with cervical cancer as compared to those who did not receive the test. The rural women had an adjusted OR of 1.46 (95% CI = 1.03-2.06) to be diagnosed with cervical cancer as compared to urban women. In conclusion, women in rural area are at higher cancer risk than city women. Women who do not undergo Pap tests deserve timely intervention of Pap test to prevent the onset of cancer, particularly in rural women with low income.

Background: Recently, the Surveillance, Epidemiology, and End Results Program facilitated the linkage of claims data from oncology practices to cancer registry data. Since physician reporting places a burden on oncology practices and presents a challenge for cancer registries, the question arises as to whether claims data can replace physician reporting. Using data reported to the New York State Cancer Registry, we evaluated the information that would be lost if oncology practices were to cease reporting abstracted data to the registry., Methods: We identified cancer cases diagnosed in 2017 and reported by 3 oncology practices. We estimated the proportion of cases reported solely by these practices and examined characteristics of these cases compared to those reported by multiple sources. We used Match*Pro to link cases reported by the oncology practices to claims data and examined the availability of claims data for these cases., Results: The 3 oncology practices reported 3,224 malignant tumors diagnosed in 2017. Of these, 233 (7.2%) were reported solely by the practices. Cases reported by an oncology practice only tended to be older than those reported by multiple sources and were statistically significantly more likely to be non-Hispanic White and less likely to be a first reportable cancer, early stage, or receive treatment. Of the 233 sole report tumors, 5 (2.1%) were not captured in claims data., Conclusions: Most cancers reported by oncology practices were also reported by other sources or were included in claims data. However, relying on claims data for these cases would result in missing data items and a small number of unreported cancers. These results may help to optimize oncology practice reporting by informing reporting requirements to balance the need for complete data with the convenience of obtaining data through automated means.

The geographical imbalance of the healthcare workforce is a social problem in Japan. Except for big cities, hospitals have difficulties in securing a sufficient workforce to offer healthcare services stably. For local government, hospital service suspensions are potentially an essential indicator to figure out the capacity of the regional healthcare supply. This paper proposes an algorithm that automatically identifies and classifies hospital service suspensions from insurance claims data, based on periodicity and similarity. To verify the effectiveness, we have applied the algorithm to the insurance claim dataset, which has been provided 91 regional public insurers in Japan. The case studies have confirmed that the proposed algorithm has presented an evidential picture of hospital service suspensions, which is potentially useful to understand the actual capacity of healthcare service supply in regions.