UNASSIGNED: Chronic limb-threatening ischemia (CLTI) is a common condition with high rates of morbidity and mortality. Despite extensive literature documenting poor outcomes in patients with CLTI, as well as racial, ethnic, socioeconomic, and geographic disparities in these outcomes, process measures for high-quality CLTI care have not been developed. We developed the Chronic Limb threatening Ischemia Process PERformace (CLIPPER) cohort to develop and test the validity of CLTI care quality measures.
UNASSIGNED: Using inpatient and outpatient claims data from patients with fee-for-service Medicare from 2010 to 2019, we created a coding algorithm to identify patients with CLTI. To qualify for a CLTI diagnosis, patients had to have either diagnostic codes for peripheral artery disease and for ulceration, infection, or gangrene on the same inpatient or outpatient claim or a CLTI-specific diagnostic code. Patients were also required to have a procedural code indicating arterial vascular testing within 6 months before or after the earliest qualifying CLTI diagnostic code(s). We describe baseline characteristics and long-term outcomes of this cohort.
UNASSIGNED: The final cohort comprised 1,130,065 patients diagnosed with CLTI between 2010 and 2019. Mean (±SD) age of the cohort was 75 ± 5.8 years; 48.4% were women, and 14.6% were Black. Within 30 days of CLTI diagnosis, 20.4% of patients underwent either percutaneous or surgical revascularization. Within 6 months, 3.3% of patients underwent major amputation; 16.7% of patients died within 1 year and 50.3% within 5 years.
UNASSIGNED: We described the development of a cohort of fee-for-service Medicare patients with CLTI using inpatient and outpatient Medicare claims data. CLIPPER will be a resource for developing a set of process measures that can be captured from administrative claims data, with plans to describe their association with limb outcomes and corresponding racial, ethnic, socioeconomic, sex-based, and geographic variability.

OBJECTIVE: Previous research in the general population shows more potentially inappropriate medications (PIMs) among persons with a migration background compared with persons without a migration background. This study investigated the association between non-Western (nw) migration background (MB) and dementia-specific PIMs in older adults with dementia in the Netherlands.
METHODS: Cohort study using routinely recorded electronic health records and administrative data.
METHODS: Electronic health record data of general practitioners from the NIVEL-Primary Care Database, were linked to registries managed by Statistics Netherlands (2013-2014). A total of 9055 community-dwelling older adults with dementia were included, among whom 294 persons had an nw-MB from Africa, South America, or Asia, based on their country of birth.
METHODS: We determined the presence of dementia-specific PIM prescriptions and compared this between persons with an nw-MB and without an MB, using logistic regression analysis adjusted for follow-up time, age, registered sex, and total number of prescriptions. Interaction effects of potentially relevant covariates were tested. The 3 largest nw-MB groups in the Netherlands were analyzed separately.
RESULTS: Dementia-specific PIMs were less frequently prescribed to persons with an nw-MB compared to persons without an MB with a dementia diagnosis [30.6% vs 34.4%, odds ratio (OR) 0.71, 95% CI 0.54-0.92], with especially less often a benzodiazepine prescription in the group with an nw-MB, compared to persons without an MB (15.0% vs 19.3%, OR 0.61, 95% CI 0.43-0.84). Dementia duration, living alone, household income, and degree of urbanization did not influence the associations.
CONCLUSIONS: Among older adults with dementia in the Netherlands, persons with an nw-MB had less often a dementia-specific PIM prescription compared to persons without an MB. Whether this difference is a reflection of better quality of care, higher professional uncertainty, or less recognition of (mental) health problems in persons with an nw-MB and dementia, needs further investigation.

OBJECTIVE: To identify and quantify risk factors for in-hospital falls in medical patients.
METHODS: Six databases (MEDLINE, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, and Google Scholar) were systematically screened until April 11, 2023, to identify relevant articles.
METHODS: All titles and abstracts of the retrieved articles were independently screened by 2 researchers who also read the full texts of the remaining articles. Quantitative studies that assessed risk factors for falls among adult patients acutely hospitalized were included in the review. Publications that did not capture internal medicine patients or focused on other specific populations were excluded.
METHODS: Information on study characteristics and potential risk factors were systematically extracted. Risk of bias was assessed using the Quality in Prognosis Studies tool. Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Meta-analyses of Observational Studies in Epidemiology guidelines were followed for reporting.
RESULTS: The main outcome was any in-hospital falls. Using a random-effects meta-analysis model, association measures for each risk factor reported in 5 or more studies were pooled. Separate analyses according to effect measure and studies adjusted for sex and age at least were performed. Of 5067 records retrieved, 119 original publications from 25 countries were included. In conclusion, 23 potential risk factors were meta-analyzed. Strong evidence with large effect sizes was found for a history of falls (odds ratio [OR], 2.54; 95% confidence interval [CI], 1.63-3.96; I2, 91%), antidepressants (pooled OR, 2.25; 95% CI, 1.92-2.65; I2, 0%), benzodiazepines (OR, 1.97; 95% CI, 1.68-2.31; I2, 0%), hypnotics-sedatives (OR, 1.90; 95% CI, 1.53-2.36; I2, 46%), and antipsychotics (OR, 1.61; 95% CI, 1.33-1.95; I2, 0%). Furthermore, evidence of associations with male sex (OR, 1.22, 95% CI, 0.99-1.50; I2, 65%) and age (OR, 1.17, 95% CI, 1.02-1.35; I2, 72%) were found, but effect sizes were small.
CONCLUSIONS: The comprehensive list of risk factors, which specifies the strength of evidence and effect sizes, could assist in the prioritization of preventive measures and interventions.

BACKGROUND: The COVID-19 pandemic contributed to an increase in teleconsultation adoption in the Polish primary health care system. It is expected that in the long run, teleconsultations will successfully replace a significant part of face-to-face visits. Therefore, a significant challenge facing primary health care facilities (PHCs) is the acceptance of teleconsultations by their users, especially physicians.
OBJECTIVE: This study aimed to explore physicians\' acceptance of teleconsultations during the COVID-19 pandemic in Poland.
METHODS: A representative survey was conducted among 361 physicians of PHCs across Poland in 2021. For the purposes of the study, we developed a modified Technology Acceptance Model (TAM) model. Based on the modified TAM, we analyzed the impact of perceived usefulness (PU), perceived ease of use (PEU), and intention to use teleconsultation (INT) on physicians\' satisfaction (SAT) and quality of work (Q). The psychometric properties of the research instrument were examined using exploratory factor analysis. Finally, structural equation modeling was used for data analysis.
RESULTS: The results indicated a generally high level of PU (mean 3.85-4.36, SD 0.87-1.18), PEU (mean 3.81-4.60, SD 0.60-1.42), INT (mean 3.87-4.22, SD 0.89-1.12), and SAT (mean 3.55-4.13, SD 0.88-1.16); the lowest rated dimension in TAM was Q (mean 3.28-3.73, SD 1.06-1.26). The most important independent variable was PU. The influence of PU on INT (estimate=0.63, critical ratio [CR]=15.84, P<.001) and of PU on SAT (estimate=0.44, CR= 9.53, P<.001) was strong. INT was also a key factor influencing SAT (estimate=0.4, CR=8.57, P<.001). A weaker relationship was noted in the effect of PEU on INT (estimate=0.17, CR=4.31, P<.001). In turn, Q was positively influenced by INT (estimate=0.179, CR=3.64, P<.001), PU (estimate=0.246, CR=4.79, P<.001), PEU (estimate=0.18, CR=4.93, P<.001), and SAT (estimate=0.357, CR=6.97, P<.001). All paths between the constructs (PU, PEU, INT, SAT, and Q) were statistically significant, which highlights the multifaceted nature of the adoption of teleconsultations among physicians.
CONCLUSIONS: Our findings provide strong empirical support for the hypothesized relationships in TAM. The findings suggest that the PU and PEU of teleconsultation have a significant impact on the intention of physicians to adopt teleconsultation. This results in an improvement in the satisfaction of Polish physicians with the use of teleconsultation and an increase in Q. The study contributes to both theory and practice by identifying important prognostic factors affecting physicians\' acceptance of teleconsultation systems.

To spur improvement in health-care service quality and quantity, performance-based financing (PBF) is an increasingly common policy tool, especially in low- and middle-income countries. This study examines how personnel diversity and affective bonds in primary care clinics affect their ability to improve care quality in PBF arrangements. Leveraging data from a large-scale matched PBF intervention in Tajikistan including 208 primary care clinics, we examined how measures of personnel diversity (position and tenure variety) and affective bonds (mutual support and group pride) were associated with changes in the level and variability of clinical knowledge (diagnostic accuracy of 878 clinical vignettes) and care processes (completion of checklist items in 2485 instances of direct observations). We interacted the explanatory variables with exposure to PBF in cluster-robust, linear regressions to assess how these explanatory variables moderated the PBF treatment\'s association with clinical knowledge and care process improvements. Providers and facilities with higher group pride exhibited higher care process improvement (greater checklist item completion and lower variability of items completed). Personnel diversity and mutual support showed little significant associations with the outcomes. Organizational features of clinics exposed to PBF may help explain variation in outcomes and warrant further research and intervention in practice to identify and test opportunities to leverage them. Group pride may strengthen clinics\' ability to improve care quality in PBF arrangements. Improving health-care facilities\' pride may be an affordable and effective way to enhance health-care organization adaptation.

UNASSIGNED: The authors sought to investigate whether utilization of inpatient occupational therapy (OT) was associated with reduced risk for 30-day psychiatric readmission in the Veterans Health Administration (VHA).
UNASSIGNED: The authors conducted a secondary analysis of VHA medical record data for veterans who received inpatient psychiatric care from 2015 to 2020 (N=176,889). Mixed-effects logistic regression was used to model psychiatric readmission within 30 days of discharge (yes or no) as a function of inpatient psychiatric OT utilization (none, one, two, three, or four or more encounters) and other care utilization (e.g., previous psychiatric hospitalization), as well as clinical (e.g., primary diagnosis), sociodemographic (e.g., race-ethnicity), and facility (e.g., complexity) characteristics. Sensitivity analyses were conducted to evaluate the robustness of findings (e.g., stratification by discharge disposition).
UNASSIGNED: Relatively few veterans received inpatient psychiatric OT (26.2%), and 8.4% were readmitted within 30 days. Compared with veterans who did not receive inpatient psychiatric OT, those with one (OR=0.76), two (OR=0.64), three (OR=0.67), or four or more encounters (OR=0.64) were significantly (p<0.001) less likely to be readmitted within 30 days. These findings were consistent across all sensitivity analyses.
UNASSIGNED: Veterans who received inpatient OT services were less likely to experience psychiatric readmission. A clear dose-response relationship between inpatient psychiatric OT and readmission risk was not identified. These findings suggest that OT services may facilitate high-value inpatient psychiatric care in the VHA by preventing readmissions that stymie recovery and incur high costs. Future research may establish the causality of this relationship, informing policy regarding increased access to inpatient psychiatric OT.

Background: The importance of high-quality care for terminal patients is being increasingly recognized; however, quality of care (QOC) and quality of death and dying (QOD) for noncancer patients remain unclear. Objectives: To clarify QOC and QOD according to places and causes of death. Design, Subjects: A nationwide mortality follow-back survey was conducted using death certificate data for cancer, heart disease, stroke syndrome, pneumonia, and kidney failure in Japan. The questionnaire was distributed to 115,816 bereaved family members between February 2019 and February 2020. Measurements included QOC, QOD, and symptoms during the last week of life. Analyses used generalized estimating equations adjusting for age, sex, and region. Results: Valid responses were returned by 62,576 (54.0%). Family-reported QOC and QOD by the place of death were significantly higher at home than in other places across all causes of death (for all combinations with hospital p < 0.01). In stroke syndrome and pneumonia, QOD significantly differed between hospital and home (stroke syndrome: 57.1 vs. 72.4, p < 0.001, effect size 0.77; pneumonia: 57.3 vs. 71.1, p < 0.001, effect size 0.78). No significant differences were observed in QOC and QOD between cancer and noncancer. The prevalence of symptoms was higher for cancer than for other causes of death. Conclusions: QOC and QOD were higher at home than in other places of death across all causes of death. The further expansion of end-of-life care options is crucial for improving QOC and QOD for all terminal patients.

BACKGROUND: Previous studies found that documentation of comorbidities differed when Veterans received care within versus outside Veterans Health Administration (VHA). Changes to medical center funding, increased attention to performance reporting, and expansion of Clinical Documentation Improvement programs, however, may have caused coding in VHA to change.
METHODS: Using repeated cross-sectional data, we compared Elixhauser-van Walraven scores and Medicare Severity Diagnosis Related Group (DRG) severity levels for Veterans\' admissions across settings and payers over time, utilizing a linkage of VHA and all-payer discharge data for 2012-2017 in seven US states. To minimize selection bias, we analyzed records for Veterans admitted to both VHA and non-VHA hospitals in the same year. Using generalized linear models, we adjusted for patient and hospital characteristics.
RESULTS: Following adjustment, VHA admissions consistently had the lowest predicted mean comorbidity scores (4.44 (95% CI 4.34-4.55)) and lowest probability of using the most severe DRG (22.1% (95% CI 21.4%-22.8%)). In contrast, Medicare-covered admissions had the highest predicted mean comorbidity score (5.71 (95% CI 5.56-5.85)) and highest probability of using the top DRG (35.3% (95% CI 34.2%-36.4%)).
CONCLUSIONS: More effective strategies may be needed to improve VHA documentation, and current risk-adjusted comparisons should account for differences in coding intensity.

The emergence of COVID-19 caused a significant global threat, affecting populations worldwide. Its impact extended beyond just physical health, as it inflicted severe damage and challenges to individuals\' well-being, leading to a deterioration in mental health. The lived experiences of patients hold a paramount position to explore and understand their perception of care which can ultimately strengthen the health system\'s delivery domain. This study explores the lived experiences of patients in the isolation ward, their recovery, and the quality of care being provided in the hospital and its effects on their mental health.
UNASSIGNED: A phenomenological qualitative study using in-depth interviews.
UNASSIGNED: We conducted 11 in-depth interviews of COVID-19 patients admitted to the isolation ward of the public hospitals of Peshawar, Pakistan. Participants who stayed for a minimum of 10 days in an isolation ward were included in this study. Interviews were transcribed and analyzed using NVivo 12 software and generated five themes through inductive analysis.
UNASSIGNED: Five themes emerged from the participants\' lived experiences: Heading towards the hospital, Health Care Quality, Impact on Mental Health, Recovering from COVID-19 and Back on one\'s feet. These included all the positive and negative lived experiences. Socio-environmental factors along with their experiences of the disease itself and with the healthcare providers guided their reaction which was important conciliators in their experiences during the pandemic.
UNASSIGNED: Based on the findings, the environment of isolation had a major influence on the mental well-being of the individuals involved. Considering the important role of the ward environment in shaping patient experiences and outcomes prompts a reevaluation of healthcare practices and policies. By addressing these factors healthcare systems can strive for greater effectiveness, resilience, and compassion in managing the pandemic\'s impact on patient care.

OBJECTIVE: To examine the sensitivity of split-sample reliability estimates to the random split of the data and propose alternative methods for improving the stability of the split-sample method.
METHODS: Data were simulated to reflect a variety of real-world quality measure distributions and scenarios. There is no date range to report as the data are simulated.
METHODS: Simulation studies of split-sample reliability estimation were conducted under varying practical scenarios.
METHODS: All data were simulated using functions in R.
RESULTS: Single split-sample reliability estimates can be very dependent on the random split of the data, especially in low sample size and low variability settings. Averaging split-sample estimates over many splits of the data can yield a more stable reliability estimate.
CONCLUSIONS: Measure developers and evaluators using the split-sample reliability method should average a series of reliability estimates calculated from many resamples of the data without replacement to obtain a more stable reliability estimate.