Comparing methods for assessing the reliability of health care quality measures.

Quality measurement plays an increasing role in U.S. health care. Measures inform quality improvement efforts, public reporting of variations in quality of care across providers and hospitals, and high-stakes financial decisions. To be meaningful in these contexts, measures should be reliable and not heavily impacted by chance variations in sampling or measurement. Several different methods are used in practice by measure developers and endorsers to evaluate reliability; however, there is uncertainty and debate over differences between these methods and their interpretations. We review methods currently used in practice, pointing out differences that can lead to disparate reliability estimates. We compare estimates from 14 different methods in the case of two sets of mental health quality measures within a large health system. We find that estimates can differ substantially and that these discrepancies widen when sample size is reduced.

Information and resources VA health system leaders need to manage enrollment and retention for Post-9/11 veterans.

OBJECTIVE: To understand Veterans Health Administration (VA) leaders' information and resource needs for managing post-9/11 Veterans' VA enrollment and retention. DATA SOURCES AND STUDY SETTING: Interviews conducted from March-May 2022 of VA Medical Center (VAMC) leaders (N = 27) across 15 sites, using stratified sampling based on VAMC characteristics: enrollment rates, number of recently separated Veterans in catchment area, and state Medicaid expansion status. STUDY DESIGN: Interview questions were developed using Petersen et al.'s Factors Influencing Choice of Healthcare System framework as a guide. Interviews were transcribed verbatim, and two coders analyzed the interviews using Atlas.ti, a qualitative software program. Coders followed the qualitative coding philosophy developed by Crabtree and Miller, a process of developing codes for salient concepts as they are identified during the analysis process. DATA COLLECTION/EXTRACTION METHODS: Two coders analyzed 22% (N = 6) of the interviews and discussed and adjudicated any discrepancies. One coder independently coded the remainder of the interviews. PRINCIPAL FINDINGS: Several key themes were identified regarding facilitators and barriers for VA enrollment including reputation for high-quality VA care, convenience of VA services, awareness of VA services and benefits, and VA mental health services. Nearly every VA leader actively used tools and data to understand enrollment and retention rates and sought to enroll and retain more Veterans. To improve the management of enrollment and retention, VA leaders would like data shared in an easily understandable format and the capability to share data between the VA and community healthcare systems. CONCLUSIONS: Enrollment and retention information is important for healthcare leaders to guide their health system decisions. Various tools are currently being used to try to understand the data. However, a multifunctional tool is needed to better aggregate the data to provide VA leadership with key information on Veterans' enrollment and retention.

Statistical Methods to Examine Racial and Ethnic Disparities in the Surgical Literature: A Review and Recommendations for Improvement.

OBJECTIVE: We characterized the quality of statistical methods for studies of racial and ethnic disparities in the surgical-relevant literature during 2021-2022. BACKGROUND: Hundreds of scientific papers are published each year describing racial and ethnic disparities in surgical access, quality, and outcomes. The content and design quality of this literature has never been systematically reviewed. METHODS: We searched for 2021-2022 studies focused on describing racial and/or ethnic disparities in surgical or perioperative access, process quality, or outcomes. Identified studies were characterized in terms of three methodological criteria: 1) adjustment for variables related to both race/ethnicity and outcomes, including social determinants of health (SDOH); 2) accounting for clustering of patients within hospitals or other subunits ("providers") and; 3) distinguishing within- and between-provider effects. RESULTS: We identified 224 papers describing racial and/or ethnic differences. Of the 38 single institution studies, 24 (63.2%) adjusted for at least one SDOH variable. Of the 186 multisite studies, 113 (60.8%) adjusted for at least one SDOH variable, and 43 (23.1%) accounted for clustering of patients within providers using appropriate statistical methods. Only 10 (5.4%) of multi-institution studies made efforts to examine how much of overall disparities were driven by within versus between provider effects. CONCLUSIONS: Most recently published papers on racial and ethnic disparities in the surgical literature do not meet these important statistical design criteria and therefore may risk inaccuracy in the estimation of group differences in surgical access, quality, and outcomes. The most potent leverage points for these improvements are changes to journal publication guidelines and policies.

Hospital Presumptive Eligibility Emergency Medicaid Programs: An Opportunity for Continuous Insurance Coverage?

BACKGROUND: Lack of health insurance is a public health crisis, leading to foregone care and financial strain. Hospital Presumptive Eligibility (HPE) is a hospital-based emergency Medicaid program that provides temporary (up to 60 d) coverage, with the goal that hospitals will assist patients in applying for ongoing Medicaid coverage. It is unclear whether HPE is associated with successful longer-term Medicaid enrollment. OBJECTIVE: To characterize Medicaid enrollment 6 months after initiation of HPE and determine sociodemographic, clinical, and geographic factors associated with Medicaid enrollment. DESIGN: This was a cohort study of all HPE approved inpatients in California, using claims data from the California Department of Healthcare Services. SETTING: The study was conducted across all HPE-participating hospitals within California between January 1, 2016 and December 31, 2017. PARTICIPANTS: We studied California adult hospitalized inpatients, who were uninsured at the time of hospitalization and approved for HPE emergency Medicaid. Using multivariable logistic regression models, we compared HPE-approved patients who enrolled in Medicaid by 6 months versus those who did not. EXPOSURES: HPE emergency Medicaid approval at the time of hospitalization. MAIN OUTCOMES AND MEASURES: The primary outcome was full-scope Medicaid enrollment by 6 months after the hospital's presumptive eligibility approval. RESULTS: Among 71,335 inpatient HPE recipients, a total of 45,817 (64.2%) enrolled in Medicaid by 6 months. There was variability in Medicaid enrollment across counties in California (33%-100%). In adjusted analyses, Spanish-preferred-language patients were less likely to enroll in Medicaid (aOR 0.77, P <0.001). Surgical intervention (aOR 1.10, P <0.001) and discharge to another inpatient facility or a long-term care facility increased the odds of Medicaid enrollment (vs. routine discharge home: aOR 2.24 and aOR 1.96, P <0.001). CONCLUSION: California patients who enroll in HPE often enroll in Medicaid coverage by 6 months, particularly among patients requiring surgical intervention, repeated health care visits, and ongoing access to care. Future opportunities include prospective evaluation of HPE recipients to understand the impact that Medicaid enrollment has on health care utilization and financial solvency.

The performance status gap in immunotherapy for frail patients with advanced non-small cell lung cancer.

PURPOSE: In advanced non-small cell lung cancer (NSCLC), immune checkpoint inhibitor (ICI) monotherapy is often preferred over intensive ICI treatment for frail patients and those with poor performance status (PS). Among those with poor PS, the additional effect of frailty on treatment selection and mortality is unknown. METHODS: Patients in the veterans affairs national precision oncology program from 1/2019-12/2021 who received first-line ICI for advanced NSCLC were followed until death or study end 6/2022. Association of an electronic frailty index with treatment selection was examined using logistic regression stratified by PS. We also examined overall survival (OS) on intensive treatment using Cox regression stratified by PS. Intensive treatment was defined as concurrent use of platinum-doublet chemotherapy and/or dual checkpoint blockade and non-intensive as ICI monotherapy. RESULTS: Of 1547 patients receiving any ICI, 66.2% were frail, 33.8% had poor PS (≥ 2), and 25.8% were both. Frail patients received less intensive treatment than non-frail patients in both PS subgroups (Good PS: odds ratio [OR] 0.67, 95% confidence interval [CI] 0.51 - 0.88; Poor PS: OR 0.69, 95% CI 0.44 - 1.10). Among 731 patients receiving intensive treatment, frailty was associated with lower OS for those with good PS (hazard ratio [HR] 1.53, 95% CI 1.2 - 1.96), but no association was observed with poor PS (HR 1.03, 95% CI 0.67 - 1.58). CONCLUSION: Frail patients with both good and poor PS received less intensive treatment. However, frailty has a limited effect on survival among those with poor PS. These findings suggest that PS, not frailty, drives survival on intensive treatment.

Automated Versus Semi-automated Lab Value Extraction for the VA Cardiac Surgical Quality Improvement Program.

INTRODUCTION: The Veterans Affairs Surgical Quality Improvement Program (VASQIP) trains surgical quality nurses (SQNs) at each Veterans Affairs (VA) hospital to extract or verify 187 variables from the medical record for all cardiac surgical cases. For ten preoperative laboratory values, VASQIP has a semiautomated (SA) system in which local lab values are automatically extracted, verified by SQNs, and lab values recorded at other VA facilities are manually extracted. The objective of this study was to develop and validate a method to automate the extraction of these ten preoperative laboratory values and compare results with the current SA method. MATERIALS AND METHODS: We developed methods to extract ten preoperative laboratory values and measurement dates from the VA Corporate Data Warehouse using Logical Observation Identifiers Names and Codes. Automated (A) versus SA information extraction was compared in terms of agreement, conformance to data definitions, proximity to surgery, and missingness. RESULTS: For surgeries with both A and SA lab values, the intraclass correlation coefficients for the ten variables ranged from 0.90 to 0.98. For several variables, the A method resulted in much lower rates of missing data (e.g., 2.4% versus 22.5% missing data for high-density lipoprotein) and eliminated out-of-date-range entries. CONCLUSIONS: Although SQN-extracted data are widely considered the gold standard within National Surgical Quality Improvement Programs, there may be advantages to fully automating extraction of lab values, including high congruence with SA SQN-extracted or verified values and lower rates of missingness and out-of-date-range data.

Differences across race and ethnicity in the quality of antidepressant medication management.

OBJECTIVE: To illustrate the importance of a multidimensional view of disparities in quality of antidepressant medication management (AMM), as well as discriminating "within-facility" disparities from disparities that exist between facilities. DATA SOURCES AND STUDY SETTING: We used data from the Veterans Health Administration's (VA) Corporate Data Warehouse (CDW) which contains clinical and administrative data from VA facilities nationally. STUDY DESIGN: CDW data were used to measure five indicators of AMM quality, including the HEDIS Effective Acute-Phase and Effective Continuation-Phase measures. Mixed effects regression models were used to examine differences in quality indicators between racial/ethnic groups, controlling for other demographic and clinical factors. An adaptation of the Kitagawa-Blinder-Oaxaca (KBO) method was used to decompose mean differences in treatment quality between racial and ethnic groups into within- and between-facility effects. DATA EXTRACTION METHODS: Demographic, clinical, and health service utilization data were extracted for patients in fiscal year 2017 with a diagnosis of depression and a new start of an antidepressant medication. PRINCIPAL FINDINGS: The decomposition of the overall differences between White and Black patients on receiving an initial 90-day prescription (46.7% vs. 32.7%), Effective Acute-Phase (79.7% vs. 66.8%), and Effective Continuation-Phase (64.0% vs. 49.6%) HEDIS measures revealed that most of the overall effects were "within-facility," meaning that Black patients are less likely to meet these measures regardless of where they are treated. Although the overall magnitude of disparities between White and Hispanic patients on these three measures was very similar (46.7% vs. 32.7%; 79.7% vs. 69.2%; 64.0% vs. 53.6%), the differences were more attributable to Hispanic patients being treated in facilities with overall lower performance on these measures. CONCLUSIONS: Discriminating within- and between-facility disparities and taking a multidimensional view of quality are essential to informing efforts to address disparities in AMM quality.

Consistent Factors Influence Body Mass Index Thresholds for Total Joint Arthroplasty Across Health-Care Systems: A Qualitative Study.

BACKGROUND: Body mass index (BMI) thresholds are used as eligibility criteria to reduce complication risk in total joint arthroplasty (TJA). This approach oversimplifies preoperative risk assessment and inadvertently restricts access to effective surgical treatment for osteoarthritis. A prior survey of orthopaedic surgeons in the United States identified complex underlying factors that influence BMI considerations. To understand whether similar factors exist and influence surgeons in a different health-care system setting, we investigated Canadian surgeons' views and use of BMI criterion thresholds for TJA access. METHODS: A cross-sectional online qualitative survey was conducted with orthopaedic surgeons performing TJA in the Canadian health-care system. Responses were anonymous and questions were open-ended to allow for candid perspectives. Survey data were coded and a systematic process was followed to identify major themes. Findings were compared with U.S. surgeon perspectives. RESULTS: Sixty-nine respondents had a mean age of 49.0 ± 11.4 years (range, 33 to 79 years), with a mean surgical experience duration of 15.7 ± 11.4 years (range, 2 to 50 years). Surgeons reported variable use of BMI thresholds in practice. Twelve interconnected factors that influence BMI considerations were identified: (1) variable evidence interpretation, (2) surgical challenge, (3) surgeon beliefs and biases, (4) hospital differences, (5) access to resources, (6) health system bias, (7) patient health status, (8) patient body fat distribution, (9) patient decisional burden (to lose weight or accept risk), (10) evidence gaps and uncertainties, (11) need for innovation, and (12) societal views. Nine themes matched with findings from U.S. surgeons. CONCLUSIONS: Parallel to the United States, complex, interconnected factors influence Canadian orthopaedic surgeons' variable use of BMI restrictions for TJA eligibility. Despite different health-care systems and reimbursement models, similar technical and personal factors were identified. With TJA practice guidelines advising against hard BMI criteria, attention regarding access to resources, surgical training, and innovations to address TJA complexity in patients with large bodies are critically needed. Future advancements in this sphere must balance barrier removal with risk reduction to ensure safe and equitable surgical care. CLINICAL RELEVANCE: This study may influence surgeon behaviors with regard to hard BMI cutoffs for TJA and encourage critical thought about factors that influence decisions about surgical eligibility for patients with high BMI.

Split-sample reliability estimation in health care quality measurement: Once is not enough.

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. DATA SOURCES AND STUDY SETTING: 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. STUDY DESIGN: Simulation studies of split-sample reliability estimation were conducted under varying practical scenarios. DATA COLLECTION/EXTRACTION METHODS: All data were simulated using functions in R. PRINCIPAL FINDINGS: 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.

Mapping the Discharge Process After Surgery.

Importance: Care transition models are structured approaches used to ensure the smooth transfer of patients between health care settings or levels of care, but none currently are tailored to the surgical patient. Tailoring care transition models to the unique needs of surgical patients may lead to significant improvements in surgical outcomes and reduced care fragmentation. The first step to developing surgical care transition models is to understand the surgical discharge process. Objective: To map the surgical discharge process in a sample of US hospitals and identify key components and potential challenges specific to a patient's discharge after surgery. Design, Setting, and Participants: This qualitative study followed a cognitive task analysis framework conducted between January 1, 2022, and April 1, 2023, in Veterans Health Administration (VHA) hospitals. Observations (n = 16) of discharge from inpatient care after a surgical procedure were conducted in 2 separate VHA surgical units. Interviews (n = 13) were conducted among VHA health care professionals nationwide. Exposure: Postoperative hospital discharge. Main Outcomes and Measures: Data were coded according to the principles of thematic analysis, and a swim lane process map was developed to represent the study findings. Results: At the hospitals in this study, the discharge process observed for a surgical patient involved multidisciplinary coordination across the surgery team, nursing team, case managers, dieticians, social services, occupational and physical therapy, and pharmacy. Important components for a surgical discharge that were not incorporated in the current care transition models included wound care education and supplies; pain control; approvals for nonhome postdischarge locations; and follow-up plans for wounds, ostomies, tubes, and drains at discharge. Potential challenges to the surgical discharge process included social situations (eg, home environment and caregiver availability), team communication issues, and postdischarge care coordination. Conclusions and Relevance: These findings suggest that current and ongoing studies of discharge care transitions for a patient after surgery should consider pain control; wounds, ostomies, tubes, and drains; and the impact of challenging social situations and interdisciplinary team coordination on discharge success.

Disparities in Access, Quality, and Clinical Outcome for Latino Californians with Colon Cancer.

OBJECTIVE: To compare access, quality, and clinical outcomes between Latino and non-Latino White Californians with colon cancer. SUMMARY BACKGROUND DATA: Racial and ethnic disparities in cancer care remain understudied, particularly among patients who identify as Latino. Exploring potential mechanisms, including differential utilization of high-volume hospitals, is an essential first step to designing evidence-based policy solutions. METHODS: We identified all adults diagnosed with colon cancer between January 1, 2010 and December 31, 2020 from a statewide cancer registry linked to hospital administrative records. We compared survival, access (stage at diagnosis, receipt of surgical care, treatment at a high-volume hospital), and quality of care (receipt of adjuvant chemotherapy, adequacy of lymph node resection) between patients who identified as Latino and as non-Latino White. RESULTS: 75,543 patients met inclusion criteria, including 16,071 patients who identified as Latino (21.3%). Latino patients were significantly less likely to undergo definitive surgical resection (marginal difference [MD] -0.72 percentage points, 95% CI -1.19,-0.26), have an operation in a timely fashion (MD -3.24 percentage points, 95% CI -4.16,-2.32), or have an adequate lymphadenectomy (MD -2.85 percentage points, 95% CI -3.59,-2.12) even after adjustment for clinical and sociodemographic factors. Latino patients treated at high-volume hospitals were significantly less likely to die and more likely to meet access and quality metrics. CONCLUSIONS: Latino colon cancer patients experienced delays, segregation, and lower receipt of recommended care. Hospital-level colectomy volume appears to be strongly associated with access, quality, and survival--especially for patients who identify as Latino--suggesting that directing at-risk cancer patients to high-volume hospitals may improve health equity.

Nutrition and eating beliefs and behaviors among individuals with spinal cord injuries and disorders: Healthy or misconceived?

PURPOSE/OBJECTIVE: Nutrition knowledge, beliefs, and behaviors have important implications for managing and preventing chronic and injury-related secondary conditions in persons with spinal cord injuries and disorders (SCI/D). Yet, the unique dietary and nutritional needs and recommendations specific to individuals with SCI/D and their eating beliefs and behaviors have been understudied. Aim is to describe nutrition and eating beliefs and behaviors from the perspectives of individuals with SCI/D. RESEARCH METHOD/DESIGN: Descriptive qualitative design using in-depth semistructured interviews with a national sample of veterans with SCI/D (n = 33). Audio-recorded and transcribed verbatim transcripts were coded and analyzed using thematic analysis. RESULTS: Participants were male (61%), aged 29-84 years, and 55% had tetraplegia. Five key themes were identified: extreme fasting/caloric restriction, perceived healthy eating behaviors, perceived unhealthy eating behaviors, modified eating behaviors due to SCI/D-related symptoms, and food/preparation choices based on abilities/independence and access. CONCLUSIONS/IMPLICATIONS: Nutrition among veterans with SCI/D may be impacted by many factors, such as nutrition knowledge and beliefs/behaviors about "healthy" and "unhealthy" nutrition, fasting, caloric restriction, imbalanced intake of macro- and micronutrients, overconsumption relative to energy needs, injury-related secondary complications, postinjury body composition and function changes, impairments related to satiety and hunger signals, and difficulty in obtaining and preparing food. Study findings provide many areas that would benefit from intervention. Findings can be used to inform ideal nutrition and healthy eating beliefs and behaviors which are important because nutritional inadequacies can lead to diet-related diseases, may exacerbate SCI secondary conditions, and lead to poor overall health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Why may patients with spinal cord injury be overlooked for obesity screening in the Veterans Health Administration? Qualitative research of the perspectives of patients and healthcare providers.

PURPOSE: We sought to describe factors influencing reduced rates of obesity screening for patients with spinal cord injury (SCI) in the United States Veterans Health Administration (VA) and to foster potential solutions. MATERIALS AND METHODS: Semi-structured interviews with healthcare providers and patients with SCI who were recruited nationally from diverse VAs. We performed rapid qualitative analysis using content analysis of interview data. RESULTS: There were 36 providers and 37 patients. We identified provider, patient, and system level barriers to obesity screening for individuals with SCI. Overarching barriers involved provider and patient perceptions that obesity screening is a low priority compared to other health conditions, and body mass index is of low utility. Other obesity screening barriers were related to measuring weight (i.e., insufficient equipment, unknown wheelchair weight, staffing shortages, measurement errors, reduced access to annual screening, insufficient time, patient preference not to be weighed) and measuring height (i.e., insufficient guidance and equipment to this population, measurement errors). CONCLUSIONS: Barriers to obesity screenings exist for patients with SCI receiving care in VA. Healthcare provider and patient interviews suggest possible solutions, including standardizing height and weight measurement processes, ensuring equipment availability in clinics, clarifying guidelines, and offering support to providers and patients.IMPLICATIONS FOR REHABILITATIONIndividuals with spinal cord injury (SCI) have higher rates of obesity, but are often overlooked for annual obesity screening, even in clinic settings designed to care for individuals with SCI.Results may help tailor guidelines/education for healthcare and rehabilitation providers offering them guidance for improving obesity screening for individuals with SCI by standardizing weight and height measurement and documentation. To facilitate this, findings highlight the need for resources, such as ensuring clinics have necessary equipment, and increasing patient access to support and equipment.Improving the provision of obesity screening for individuals with SCI is necessary to improve health outcomes and patient satisfaction with care.

Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes.

OBJECTIVE: Suicide risk prediction algorithms at the Veterans Health Administration (VHA) do not include predictors based on the 3-Step Theory of suicide (3ST), which builds on hopelessness, psychological pain, connectedness, and capacity for suicide. These four factors are not available from structured fields in VHA electronic health records, but they are found in unstructured clinical text. An ontology and controlled vocabulary that maps psychosocial and behavioral terms to these factors does not exist. The objectives of this study were 1) to develop an ontology with a controlled vocabulary of terms that map onto classes that represent the 3ST factors as identified within electronic clinical progress notes, and 2) to determine the accuracy of automated extractions based on terms in the controlled vocabulary. METHODS: A team of four annotators did linguistic annotation of 30,000 clinical progress notes from 231 Veterans in VHA electronic health records who attempted suicide or who died by suicide for terms relating to the 3ST factors. Annotation involved manually assigning a label to words or phrases that indicated presence or absence of the factor (polarity). These words and phrases were entered into a controlled vocabulary that was then used by our computational system to tag 14 million clinical progress notes from Veterans who attempted or died by suicide after 2013. Tagged text was extracted and machine-labelled for presence or absence of the 3ST factors. Accuracy of these machine-labels was determined for 1000 randomly selected extractions for each factor against a ground truth created by our annotators. RESULTS: Linguistic annotation identified 8486 terms that related to 33 subclasses across the four factors and polarities. Precision of machine-labeled extractions ranged from 0.73 to 1.00 for most factor-polarity combinations, whereas recall was somewhat lower 0.65-0.91. CONCLUSION: The ontology that was developed consists of classes that represent each of the four 3ST factors, subclasses, relationships, and terms that map onto those classes which are stored in a controlled vocabulary (https://bioportal.bioontology.org/ontologies/THREE-ST). The use case that we present shows how scores based on clinical notes tagged for terms in the controlled vocabulary capture meaningful change in the 3ST factors during weeks preceding a suicidal event.

Contextual Determinants of Time to Surgery for Patients With Hip Fracture.

Importance: Surgery within 24 hours after a hip fracture improves patient morbidity and mortality, which has led some hospitals to launch quality improvement programs (eg, targeted resource management, documented protocols) to address delays. However, these programs have had mixed results in terms of decreased time to surgery (TTS), identifying an opportunity to improve the effectiveness of interventions. Objective: To identify the contextual determinants (site-specific barriers and facilitators) of TTS for patients with hip fracture across diverse hospitals. Design, Setting, and Participants: This qualitative mixed-methods study used an exploratory sequential design that comprised 2 phases. In phase 1, qualitative semistructured interviews were conducted with stakeholders involved in hip fracture care (orthopedic surgeons or residents, emergency medicine physicians, hospitalists, anesthesiologists, nurses, and clinical or support staff) at 4 hospitals with differing financial, operational, and educational structures. Interviews were completed between May and July 2021. In phase 2, a quantitative survey assessing contextual determinants of TTS within 24 hours for adult patients with hip fracture was completed by orthopedic surgeon leaders representing 23 diverse hospitals across the US between May and July 2022. Data analysis was performed in August 2022. Main Outcomes and Measures: Thematic analysis of the interviews identified themes of contextual determinants of TTS within 24 hours for patients with hip fracture. The emergent contextual determinants were then measured across multiple hospitals, and frequency and distribution were used to assess associations between determinants and various hospital characteristics (eg, setting, number of beds). Results: A total of 34 stakeholders were interviewed in phase 1, and 23 surveys were completed in phase 2. More than half of respondents in both phases were men (19 [56%] and 18 [78%], respectively). The following 4 themes of contextual determinants of TTS within 24 hours were identified: availability, care coordination, improvement climate, and incentive structure. Within these themes, the most commonly identified determinants across the various hospitals involved operating room availability, a formal comanagement system between orthopedics and medicine or geriatrics, the presence of a physician champion focused on timely surgery, and a program that facilitates improvement work. Conclusions and Relevance: In this study, contextual determinants of TTS within 24 hours for patients with hip fracture varied across hospital sites and could not be generalized across various hospital contexts because no 2 sites had identical profiles. As such, these findings suggest that guidance on strategies for improving TTS should be based on the contextual determinants unique to each hospital.

Evaluating a health system-wide opioid disposal intervention distributing home-disposal bags.

OBJECTIVE: To evaluate a health system-wide intervention distributing free home-disposal bags to surgery patients prescribed opioids. DATA SOURCES AND STUDY SETTING: We collected patient surveys and electronic medical record data at an academic health system. STUDY DESIGN: We conducted a prospective observational study. The bags were primarily distributed at pharmacies, though pharmacists delivered bags to some patients. The primary outcome was disposal of leftover opioids (effectiveness). Secondary outcomes were patient willingness to dispose and factors associated with disposal (effectiveness), recalling receipt of the bag (reach), and recalling receipt of bags and disposal over time (maintenance). We used a modified Poisson regression to evaluate the relative risk of disposal. Inverse probability of treatment weighting, based on propensity scores, was used to account for differences between survey responders and non-responders and reduce nonresponse bias. DATA COLLECTION/EXTRACTION METHODS: From August 2020 to May 2021, we surveyed patients 2 weeks after discharge (allowing for home opioid use). Eligibility criteria were age ≥18, English being primary language, valid email address, hospitalization ≤30 days, discharge home, and an opioid prescription sent to a system pharmacy. PRINCIPAL FINDINGS: We identified 5134 patients with 2174 completing the survey (response rate 42.3%). Among respondents, 1375 (63.8%) recalled receiving the disposal bag. Among 1075 respondents with leftover opioids, 284 (26.4%) disposed, 552 (51.3%) planned to dispose, 79 (7.4%) did not plan to dispose, 69 (6.4%) had undecided, and 91 (8.5%) had not considered disposal. Recalling receipt of the bag (incidence rate ratio [IRR] 1.25, 95% confidence interval [CI] 1.13-1.37) was positively associated with disposal. Patients who used opioids in the last year were less likely to dispose (IRR 0.82, 95% CI 0.73-0.93). Disposal rates remained stable over the study period while recalling receipt of bags trended up. CONCLUSIONS: A pragmatic implementation of a disposal intervention resulted in lower disposal rates than prior trials.

Costs of implementing a multi-site facilitation intervention to increase access to medication treatment for opioid use disorder.

BACKGROUND: The United States has been grappling with the opioid epidemic, which has resulted in over 75,000 opioid-related deaths between April 2020 and 2021. Evidence-based pharmaceutical interventions (buprenorphine, methadone, and naltrexone) are available to reduce opioid-related overdoses and deaths. However, adoption of these medications for opioid use disorder has been stifled due to individual- and system-level barriers. External facilitation is an evidence-based implementation intervention that has been used to increase access to medication for opioid use disorder (MOUD), but the implementation costs of external facilitation have not been assessed. We sought to measure the facility-level direct costs of implementing an external facilitation intervention for MOUD to provide decision makers with estimates of the resources needed to implement this evidence-based program. METHODS: We performed a cost analysis of the pre-implementation and implementation phases, including an itemization of external facilitation team and local site labor costs. We used labor estimates from the Bureau of Labor and Statistics, and sensitivity analyses were performed using labor estimates from the Veterans Health Administration (VHA) Financial Management System general ledger data. RESULTS: The average total costs for implementing an external facilitation intervention for MOUD per site was $18,847 (SD 6717) and ranged between $11,320 and $31,592. This translates to approximately $48 per patient with OUD. Sites with more encounters and participants with higher salaries in attendance had higher costs. This was driven mostly by the labor involved in planning and implementation activities. The average total cost of the pre-implementation and implementation activities were $1031 and $17,816 per site, respectively. In the sensitivity analysis, costs for VHA were higher than BLS estimates likely due to higher wages. CONCLUSIONS: Implementing external facilitation to increase MOUD prescribing may be affordable depending on the payer's budget constraints. Our study reported that there were variations in the time invested at each phase of implementation and the number and type of participants involved with implementing an external facilitation intervention. Participant composition played an important role in total implementation costs, and decision makers will need to identify the most efficient and optimal number of stakeholders to involve in their implementation plans.

Choosing Veterans Affairs: Determinants of post-9/11 Veterans' enrollment in Veterans Affairs health care.

Following recent policy changes, younger Veterans have particularly increased options for where to receive their health care. Although existing research provides some understanding of non-modifiable individual (e.g., age) and external community (e.g., non-VA provider supply) factors that influence VA enrollment, this study focused on modifiable facility access and quality factors that could influence Veterans' decisions to enroll in VA. In this cohort study, we examined enrollment in and use of VA services in the year following military separation as the binary outcome using mixed-effects logistic regressions, stratified by Active and Reserve Components. This study included 260,777 Active and 101,572 Reserve Component post-9/11 Veterans separated from the military in fiscal years 2016 to 2017. Independent variables included 4 access measures for timeliness of VA care and 3 VA quality measures, which are included in VA Medical Centers' performance plans. Eligible Veterans were more likely to enroll in VA when the closest VA had higher quality scores. After accounting for timeliness of VA care and non-modifiable characteristics, rating of primary care (PC) providers was associated with higher VA enrollment for Active Component (odds ratio [OR] = 1.014, 95% confidence interval [CI]: 1.007-1.020). Higher mental health (MH) continuity (OR = 1.039, 95% CI: 1.000-1.078) and rating of PC providers (OR = 1.009, 95% CI: 1.000-1.017) were associated with higher VA enrollment for Reserve Component. Improving facility-specific quality of care may be a way to increase VA enrollment. In a changing policy environment, study results will help VA leadership target changes they can make to manage enrollment of Veterans in VA and deliver needed foundational services.

Identifying Strategies to Reduce Low-Value Preoperative Testing for Low-Risk Procedures: a Qualitative Study of Facilities with High or Recently Improved Levels of Testing.

BACKGROUND: Healthcare agencies and perioperative professional organizations recommend avoiding preoperative screening tests for low-risk surgical procedures. However, low-value preoperative tests are still commonly ordered even for generally healthy patients and active strategies to reduce this testing have not been adequately described. OBJECTIVE: We sought to learn from hospitals with either high levels of testing or that had recently reduced use of low-value screening tests (aka "delta sites") about reasons for testing and active deimplementation strategies they used to effectively improve practice. DESIGN: Qualitative study of semi-structured telephone interviews. PARTICIPANTS: We identified facilities in the US Veterans Health Administration (VHA) with high or recently improved burden of potentially low-value preoperative testing for carpal tunnel release and cataract surgery. We recruited perioperative clinicians to participate. APPROACH: Questions focused on reasons to order preoperative screening tests for patients undergoing low-risk surgery and, more importantly, what strategies had been successfully used to reduce testing. A framework method was used to identify common improvement strategies and specific care delivery innovations. KEY RESULTS: Thirty-five perioperative clinicians (e.g., hand surgeons, ophthalmologists, anesthesiologists, primary care providers, directors of preoperative clinics, nurses) from 29 VHA facilities participated. Facilities that successfully reduced the burden of low-value testing shared many improvement strategies (e.g., building consensus among stakeholders; using evidence/norm-based education and persuasion; clarifying responsibility for ordering tests) to implement different care delivery innovations (e.g., pre-screening to decide if a preop clinic evaluation is necessary; establishing a dedicated preop clinic for low-risk procedures). CONCLUSIONS: We identified a menu of common improvement strategies and specific care delivery innovations that might be helpful for institutions trying to design their own quality improvement programs to reduce low-value preoperative testing given their unique structure, resources, and constraints.