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Direct oral anticoagulant (DOAC) starter packs are designed for unique treatment dosing for acute venous thromboembolism (VTE). Inappropriate use of 30-day DOAC starter packs in patients with atrial fibrillation (AF) may increase the risk for bleeding events given higher dosing in the first 1-3 weeks of treatment. A retrospective analysis of medical and outpatient pharmacy claims data from 2015 to 2018 in Optum's De-identified Clinformatics® Data Mart was performed. Patients greater than 18 years of age with AF and a new prescription of apixaban or rivaroxaban were included. Patients with an acute VTE were excluded. The main outcome of interest was adverse events (emergency department [ED] visits, hospitalizations, and deaths within 90 days after prescription fill date) associated with inappropriate DOAC starter pack prescription. A total of 90,950 DOAC-treated patients with AF were identified. The mean age was 74.5 years (SD 10.0) and 42,717 (47.0%) were female. Inappropriate starter packs were used by 117 (0.1%) patients, who were younger than non-starter pack patients (71.3 years vs. 74.5 years). Patients who received an inappropriate DOAC prescription were more likely to identify as Black (12.0% vs. 8.8%). Rates of ED visits, hospitalizations, and deaths overall were numerically lower in patients with starter pack compared to non-starter pack DOAC prescriptions. In contrast, rates of ED visits and hospitalizations related to significant bleeding were numerically higher in patients with starter pack compared to non-starter pack DOAC prescriptions. Among patients with AF but no VTE, those who received an inappropriate DOAC starter pack had numerically higher rates of severe bleeding leading to ED visits and hospitalizations compared to those prescribed an appropriate non-starter pack DOAC anticoagulant.

Objectives The diagnostic process is a vital component of safe and effective emergency department (ED) care. There are no standardized methods for identifying or reliably monitoring diagnostic errors in the ED, impeding efforts to enhance diagnostic safety. We sought to identify trigger concepts to screen ED records for diagnostic errors and describe how they can be used as a measurement strategy to identify and reduce preventable diagnostic harm. Methods We conducted a literature review and surveyed ED directors to compile a list of potential electronic health record (EHR) trigger (e-triggers) and non-EHR based concepts. We convened a multidisciplinary expert panel to build consensus on trigger concepts to identify and reduce preventable diagnostic harm in the ED. Results Six e-trigger and five non-EHR based concepts were selected by the expert panel. E-trigger concepts included: unscheduled ED return to ED resulting in hospital admission, death following ED visit, care escalation, high-risk conditions based on symptom-disease dyads, return visits with new diagnostic/therapeutic interventions, and change of treating service after admission. Non-EHR based signals included: cases from mortality/morbidity conferences, risk management/safety office referrals, ED medical director case referrals, patient complaints, and radiology/laboratory misreads and callbacks. The panel suggested further refinements to aid future research in defining diagnostic error epidemiology in ED settings. Conclusions We identified a set of e-trigger concepts and non-EHR based signals that could be developed further to screen ED visits for diagnostic safety events. With additional evaluation, trigger-based methods can be used as tools to monitor and improve ED diagnostic performance.

BACKGROUND: The 30-day direct oral anticoagulant starter pack has simplified the treatment of acute venous thromboembolisms, but it is not appropriate for use in patients with other indications for anticoagulation. METHODS: A retrospective analysis of national outpatient pharmacy claims data between January 1, 2015 and December 31, 2018, was performed. Adult patients (ages >18 years) with continuous insurance enrollment at least 12 months prior to and 1 month following a direct oral anticoagulant starter pack prescription during the study period were included. The primary study outcome was the rate of inappropriate prescription of direct oral anticoagulant starter packs, defined as a prescription without a venous thromboembolism diagnosis within the prior 45 days or a prescription with a prior starter pack fill within the past 45 days. RESULTS: A total of 3711 direct oral anticoagulant starter pack prescription fills were identified, representing 3634 unique patients. The mean patient age was 62.8 years (standard deviation [SD] 15.1) and 1871 (50.4%) were females. There were 770 (20.7%) direct oral anticoagulant starter pack fills identified as potentially inappropriate. Patients prescribed inappropriate fills were likely to be older than patients with appropriate fills (64.7 years vs 62.4 years, P < 0.001). There was no significant difference in the race or geographic location between patients with inappropriate and appropriate prescriptions. CONCLUSIONS: A significant proportion of patients using direct oral anticoagulant starter packs did not have a diagnosis of acute venous thromboembolism, raising concerns about inappropriate prescribing and potential bleeding complications. Future studies are needed to identify factors associated with inappropriate direct oral anticoagulant starter pack prescription and evaluate efforts to reduce this practice.

Key Points Question What factors are associated with a potentially missed diagnosis of appendicitis in the emergency department among adults and children? Findings In this cohort study of 123 711 patients diagnosed with appendicitis, insurance claims data indicated that appendicitis was potentially missed in 6.0% of adults and 4.4% of children during the initial emergency department visit. Factors associated with potentially missed appendicitis included female sex, the coexistence of abdominal pain and constipation, and the presence of comorbidities. Meaning Population-based estimates of the rates of potentially missed appendicitis reveal opportunities for improvement and identify factors that may alert clinicians and mitigate the risk of missed diagnosis., Importance Appendicitis may be missed during initial emergency department (ED) presentation. Objective To compare patients with a potentially missed diagnosis of appendicitis (ie, patients with symptoms associated with appendicitis, including abdominal pain, constipation, nausea and/or vomiting, fever, and diarrhea diagnosed within 1-30 days after initial ED presentation) with patients diagnosed with appendicitis on the same day of ED presentation to identify factors associated with potentially missed appendicitis. Design, Setting, and Participants In this cohort study, a retrospective analysis of commercially insured claims data was conducted from January 1 to December 15, 2019. Patients who presented to the ED with undifferentiated symptoms associated with appendicitis between January 1, 2010, and December 31, 2017, were identified using the Clinformatics Data Mart administrative database (Optum Insights). The study sample comprised eligible adults (aged ≥18 years) and children (aged, This cohort study uses insurance claims data to compare patients with a potentially missed diagnosis of appendicitis with those diagnosed with appendicitis during the initial emergency department visit to identify factors associated with potentially missed appendicitis among adults and children.

In this study we examined spousal concordance for two aggregate measures of health risk status and compliance with preventive service recommendations among 9620 pairs of cohabitating, opposite-sex married couples.Health risk appraisals were the primary data source to measure two outcome variables. Health risk status was compiled from 12 health risks and categorized into three levels (low-, medium-, and high-risk status). Overall preventive service compliance status was estimated by seven age-sex specific preventive service recommendations and dichotomized into lower and higher compliance status. For each of the husband and wife populations, we conducted proportional odds models and logistic regression models to assess spousal concordance for the two aggregate measures respectively. All models were adjusted for household income, one's characteristics (age, race, education, disease burden), and the same set of characteristics and the corresponding outcome variable from the spouse.A positive correlation within spousal pairs was statistically significant for both health risk status and compliance status (p.001) based on multivariate modeling. The odds ratios were similar in magnitude for the two spouse populations.The analyses showed spousal concordance for aggregate measures of health behaviors. This study also provides some evidence for dominance of husband's education.

Background The relationship of distance to care with total health care utilization and disease burden is not well understood among the managed care population. Purposes The aim of this study was to examine the relationship between the distance from a patient's home to his or her primary care physician (PCP) and the patient's health characteristics. Methodology This was a population-based study of commercial health maintenance organization (HMO) members enrolled in one medium-sized health plan in Michigan in 2001. This study measured health care utilization from all settings (per member per year [PMPY]). Disease burden measure was based on the Adjusted Clinical Group (ACG) system. Distance was defined as straight-line distance between a member's residency and his or her PCP. Both direct standardization and regression modeling were used to assess the effect of distance on utilization. Findings Both utilization and disease burden increased as distance increased, especially among members selecting PCPs in an academic health system (AHS). The difference in observed utilization between local (0-10 miles) and distant (>30 miles) members was 973 dollars (PMPY) for the AHS and 193 dollars (PMPY) for the community independent practice associations (IPA). Compared with age-sex adjustment, ACG adjustment reduced local-distant difference within the same practice group to a greater extent (281 dollars and 59 dollars remaining for the academic and community groups, respectively). Distance as a whole exerted a statistically significant positive effect on either disease burden score or utilization in regression modeling. Practice implications HMO members consume more health care and had higher disease burden as their distance from their PCPs increased. The distance traveled by the individuals to their PCPs could be incorporated when adjusting managed care financial risk models. Other remedies include negotiating higher capitation rates for distant patients, carving out distant patients from any financial risk model, or excluding such patients from provider performance assessment.

Many academic medical centers have significant capacity constraints and limited ability to expand services to meet demand. Health care management should employ strategic thinking to deal with service demands. This article uses three organizational models to develop a theoretical framework to guide the selection of clinical services for outsourcing.

Acute care hospitals have increasingly been forming local strategic hospital alliances (SHAs), which consume considerable resources in forming and may affect the competitiveness of provider markets. This research shows that SHAs and market factors, which have been perceived to be threats to hospitals, are related to hospitals' financial performance. Among the findings are that SHA members have higher net revenues but that they are not more effective at cost control. Nor do the higher net revenues result in higher cash flow. However, increasing SHA penetration in a market is related to lower net revenues per case. In addition, the penetration of private health maintenance organizations in markets is associated with lower revenues and expenses.

Purpose. Assess the association of taking incidental sickness absence with health risks and health status. Design. Observational. Setting. One Midwest health care system. Subjects. Individuals who were employed for 2 years (2006–2007) and had completed at least one health risk appraisal (HRA) in 2007 (N = 3790). Measures. Outcomes were any incidental sickness absence and absence duration in 2007 measured by an absence tracking system. Health risks and health status were estimated by HRAs. Program participation was captured using 7-year HRA data and 5-year wellness data. Analysis. Multivariate, binary logistic regression for the probability of taking any absence day among the overall population as well as four demographic subgroups; proportional odds model for the probability of taking more absence days. Results. Different patterns were observed in association with taking incidental sickness absence among age and gender subgroups. Among the overall population, three health risks (smoking overweight, and use of medication for relaxation) were positively associated with taking absence (at least p Conclusion. Sickness absence is an important productivity concern of employers. Employers may implement early interventions to focus on preventable causes. Special interventions may target absence-causing risks such as smoking behavior and excess body weight. Study limitation includes a lack of measures for psychosocial work environment.

Objective: To examine the association of behavioral intention with subsequent behavioral change in a worksite setting for three health behaviors, increasing physical activity, quitting smoking, and losing weight. Methods: Two-year health risk appraisal data came from one multistate company. Behavioral intention was captured in the 2004 health risk appraisal, and behavioral change was measured by comparing health behaviors in 2004 and 2005. Multivariate logistic regression was used to study the intention-behavior relationship. Results: A positive association with intention for change was found in increasing physical activity level (P = 0.0002) and quitting smoking (P = 0.018). Nevertheless, a negative relationship was observed in reducing weight (P = 0. 003 ). Conclusions: A positive intention-behavior change relationship was found in two of the three behaviors. Individuals may benefit from differential wellness programming based on their intention for change and health risks.

When tertiary health centers face capacity constraint, one feasible strategy to meet service demand is outsourcing clinical services to qualified community providers. Clinical outsourcing enables tertiary health centers to meet the expectations of service timeliness and provides good opportunities to collaborate with other health care providers. However, outsourcing may result in dependence and loss of control for the tertiary health centers. Other parties involved in clinical outsourcing such as local partners, patients, and payers may also encounter potential risks as well as enjoy benefits in an outsourcing arrangement. Recommendations on selecting potential outsourcing partners are given to minimize the risks associated with an outsourcing contract. Copyright © 2006 John Wiley & Sons, Ltd.

A before-and-after study was conducted to examine the combined effect of public profiling and quality improvement activities on management of heart failure (HF) in the hospital setting.Thirty-one hospitals in southeastern Michigan participated in this profiling and quality improvement study. One hospital closed after the baseline measurement. Two quality indicators were developed to evaluate the key processes of HF care, and one profiling indicator was designed for public profiling. The baseline results of the profiling indicator were publicly released. The individual hospitals were identified in the profiling report by name as "having statistically higher (or lower) rates than average." Remeasurement results were compared to the baseline results by using t-tests for the individual hospitals and all 30 hospitals as an aggregate.Two-thirds of the hospitals improved ejection fraction documentation; the aggregate result improved 5.4 percentage points (p0.05). No change was observed in the aggregate measure of prescribing angiotensin-converting enzyme inhibitors (ACEIs) to eligible HF patients at discharge. Hospitals with low baseline rates made improvement in ACEI use at discharge, but those with good baseline performance tended to decline in performance. There was a 2.2 percentage point increase (p0.05) in the profiling indicator.There seemed to be differential impacts of interventions across indicators and hospitals. Public profiling may have the most positive impact on hospitals with low performance at baseline. Maintaining the baseline good practice was a struggle for hospitals with relatively high baseline rates.

This study validates the measurements of performance of preventive practices and identifies organizational and market factors that affect variations in the preventive care practices of health maintenance organizations (HMOs). Confirmatory factor analysis was used to assess HMO performance, reflecting the rates of five preventive practice services. A structural equation model of the preventive practice performance of HMOs was evaluated. It was discovered that HMOs that employ more board-certified primary care practitioners have a higher rate of preventive care practices and that market competition and market forces do not influence the variation in HMO preventive care practices.