Impact of Home Telehealth Expansion on High-Cost Utilization Among Veterans Health Administration Patients with Diabetes.

BACKGROUND: Home telehealth (HT) services have rapidly expanded in the Veterans Health Administration (VHA), but little is known about the real-world impact of the expansion of these services on utilization. OBJECTIVE: To evaluate the impact of expanding HT diabetes services in VHA on high-cost utilization. DESIGN: This cohort study used cross-temporal propensity score matching to identify patients with diabetes who would receive HT services (treatment group) with program expansion (treatment group) with a comparison group of patients with diabetes who did not receive HT services (control group) between 2010 and 2018. A difference-in-differences design was used to compare pre-post changes in high-cost utilization between propensity-matched groups. Data used was from the VHA's Corporate Data Warehouse. PARTICIPANTS: VHA patients with diabetes, n=7214 in the treatment group who received HT services, and n=1,067,138 in the control group who did not receive HT services. MAIN MEASURE(S): Emergency department (ED) visits, all-cause hospitalization, and hospitalizations for ambulatory care sensitive conditions (ACSCs). KEY RESULTS: In the baseline period, patients in our sample had a mean age of 67 years old (SD=11 years), were 97% male, and 78% had a hemoglobin A1c (HbA1c) < 8%. The increase in HT use was associated with a net increase of ED visits per patient (0.215 95% CI [0.152, 0.279]), all-cause hospitalization (0.053 95% CI [0.032, 0.074]), and ACSC hospitalization (0.032 95% CI [0.019, 0.045]). CONCLUSIONS: Expanding HT or remote monitoring services may lead to additional needs being identified for patients, including increased access to in-person care, such as ED or hospital services.

Ninth Version of the AJCC and UICC Nasopharyngeal Cancer TNM Staging Classification.

Importance: Accurate staging is a fundamental step in treating patients with nasopharyngeal carcinoma (NPC) worldwide; this is crucial not only for prognostication, but also for guiding treatment decisions. The American Joint Committee on Cancer (AJCC)/Union for International Cancer Control (UICC) tumor-node-metastasis (TNM) system is the global language for clinicians, researchers, and cancer registries. Continual improvement that aligns with contemporary pattern of care is essential. Objective: To improve the prognostic accuracy and clinical applicability of the eighth edition (TNM-8) for NPC. Design, Setting, and Participants: This multicenter study analyzed patients with NPC with detailed tumor features during January 2014 and December 2015 and was reviewed by experienced radiologists. The data analysis was completed in December 2023. The findings were further confirmed with internal and external validation. Statistical analyses and clinical considerations were reviewed by the AJCC/UICC multidisciplinary head and neck panels and attained consensus. The recommendations were evaluated by the AJCC Evidence-Based Medicine Committee before final endorsement as the ninth version (TNM-9). Main Outcomes and Measures: The primary end point was overall survival. Adjusted hazard ratios of different subgroups were then assessed for confirmation of optimal stage grouping. Results: Of the 4914 patients analyzed, 1264 (25.7%) were female and 3650 (74.3%) were male; the median (SD) age was 48.1 (12.0) years. Advanced radiological extranodal extension (with involvement of adjacent muscles, skin, and/or neurovascular bundles) was identified as an independent adverse factor for all end points: this was added as a criterion for N3. Patients with nonmetastatic disease were regrouped into stages I to III instead of TNM-8 stages I to IVA. Significant hazard discrimination was achieved by grouping T1-2N0-1 as stage I, T3/N2 as stage II, and T4/N3 as stage III. Although the T1-2N0-1 subgroups had comparable 5-year overall survival, subdivisions into IA (T1-T2N0) and IB (T1-T2N1) were recommended due to the distinction in adjusted hazard ratios following adjustment for chemotherapy use. Metastatic disease was exclusively classified as stage IV, and prognostication was further refined by subdivision into IVA (M1a, ≤3 lesions) and IVB (M1b, >3 lesions). TNM-9 demonstrated superiority compared with TNM-8 in major statistical aspects. Conclusion and Relevance: The results of this diagnostic study suggest that the ninth version of TNM staging for NPC, based on robust analyses and a comprehensive review by the AJCC/UICC staging committees, provides an improved staging system for global application and a framework for future incorporation of nonanatomical factors. This will be launched for global application in January 2025.

Supplemental Oxygen Use, Outcomes, and Spending in Patients With COPD in the Medicare Competitive Bidding Program.

Importance: The Medicare Competitive Bidding Program (CBP), a policy that reduced durable medical equipment prices, was implemented starting in 2011. Legislation introduced in 2024 aims to remove supplemental oxygen from the CBP because of concerns that recent decreases in oxygen prescribing are due to lower prices set by the CBP, which may have decreased supply and, in turn, limited oxygen access for patients with chronic lung diseases. However, low-value prescribing of oxygen is also prevalent in practice, and decreased oxygen prescription rates may not have necessarily caused harm. Little is known about the association of the CBP with patient use, outcomes, or spending. Objective: To examine the association between the 2011 and 2013 implementation of the CBP and supplemental oxygen use, clinical outcomes, and supplemental oxygen spending among patients with chronic obstructive pulmonary disease (COPD). Design, Setting, and Participants: This cohort study used a difference-in-differences (DID) method to evaluate the association between implementation of the CBP and the outcomes of interest. Patients aged 65 to 100 years with COPD living in CBP areas were compared with those living in areas where the CBP was not yet or never implemented. The study included 100% fee-for-service Medicare data of beneficiaries enrolled between July 1, 2009, and December 31, 2015. The data analysis was performed between June 6, 2023, and August 16, 2024. Exposure: The 2011 and 2013 implementation cycles of the Medicare CBP. Main Outcomes and Measures: The primary outcomes were new prescriptions of oxygen during a 6-month period among beneficiaries with COPD and discontinuation of oxygen during a 6-month period among beneficiaries with COPD previously prescribed oxygen. Secondary outcomes included switches between oxygen types (gas, liquid, or concentrator), all-cause mortality, all-cause unplanned hospitalizations, COPD hospitalizations, and mean monthly allowed charges (total spending) over a 6-month period. The analysis was performed using the Callaway-Sant'Anna method, a dynamic DID model for policies with staggered implementation. Results: Among 5 753 308 Medicare beneficiaries with COPD (mean [SD] age, 79.2 [8.4] years; 55.1% female), 25.9% received supplemental oxygen for at least one 6-month period during the study. The CBP was not associated with differential changes in new oxygen prescribing (DID estimate, -0.19 percentage points; 95% CI, -2.45 to 2.08 percentage points) or oxygen discontinuations (DID estimate, -0.77 percentage points; 95% CI, -8.15 to 6.60 percentage points). Similarly, differential changes were not observed in the secondary outcomes of oxygen switches (DID estimate, -0.04 percentage points; 95% CI, -0.44 to 0.37 percentage points), all-cause mortality (DID estimate, 0.16 percentage points; 95% CI, -7.52 to 7.84 percentage points), all-cause unplanned hospitalizations (DID estimate, -0.20 percentage points; 95% CI, -10.94 to 10.53 percentage points), or COPD hospitalizations (DID estimate, -0.04 percentage points; 95% CI, -2.57 to 2.48 percentage points). Differential changes were observed for mean monthly allowed charges (DID estimate, -$326.22; 95% CI, -$434.76 to -$217.68). Conclusions and Relevance: In this study, among beneficiaries with COPD, the Medicare CBP was associated with differentially lower spending but not differential changes in oxygen use or clinical outcomes. This study did not find evidence supporting ongoing policy efforts to remove supplemental oxygen from the CBP.

Neighborhood Socioeconomic Disadvantage and Acute Care Utilization in Washington State Medicaid: A Retrospective Cohort Study.

BACKGROUND: Neighborhood disadvantage has been associated with potentially preventable acute care utilization among Medicare beneficiaries, but this association has not been studied in a Medicaid population, which is important for informing more equitable care and policies for this population. OBJECTIVE: To describe the association between Area Deprivation Index (ADI) and acute care utilization (including potentially preventable utilization) among Medicaid beneficiaries in Washington State. DESIGN: Retrospective cohort study of 100% Medicaid claims. Mixed effects logistic regression was applied to estimate the association between state-level ADI decile and acute care utilization, adjusting for age, sex, self-identified race and ethnicity, Charlson Comorbidity Index, primary spoken language, individual Federal Poverty Level, homelessness, and rurality. Standard errors were clustered at the Census block group level. PARTICIPANTS: 1.5 million unique adult Medicaid beneficiaries enrolled for at least 11 months of a calendar year during the period 2017-2021. MAIN MEASURES: Binary measures denoting receipt of ED visits, low-acuity ED visits, hospitalizations in a calendar year. KEY RESULTS: Increasing levels of neighborhood socioeconomic disadvantage (by ADI decile) were associated with greater odds of any ED visits (adjusted odds ratio (aOR) 1.07, 95% confidence interval (CI) 1.06-1.07), low-acuity ED visits (aOR 1.08, CI 1.08-1.08), and any hospitalizations (aOR 1.02, CI 1.02-1.02). CONCLUSIONS: Among Medicaid beneficiaries, greater neighborhood socioeconomic disadvantage was associated with increased acute care utilization, including potentially preventable utilization. These findings signal potential barriers to outpatient care access that could be amenable to future intervention by health systems and payers.

'I am more stressed if my infection affects others': development of a COVID-19-related stress scale in older people and examination of its validity and associations with mental health risks.

BACKGROUND: COVID-19 was a collective traumatic event; however, different individuals may have perceived it differently. AIMS: This study investigated what older people in a collective culture perceived as stressful during COVID-19 and examined how different stressors related to COVID-19 infection and mental health risks. METHOD: Thirty-six participants from diverse backgrounds engaged in a three-round Delphi study to generate items for a COVID-19-related stress scale for older adults (CSS-OA). Subsequently, 4674 people (aged ≥60 years) participated in a cross-sectional telephone survey; interviewers collected their responses to CSS-OA and information about COVID-19 infection, depressive symptoms, anxiety, loneliness and demographics. Exploratory factor analysis and confirmatory factor analysis were conducted on CSS-OA. A multiple indicator multiple cause (MIMIC) model was used to examine associations between CSS-OA and other measures. RESULTS: The Delphi process generated eight items, all secondary or tertiary stressors related to infection. Exploratory factor analysis revealed a three-factor model, and confirmatory factor analysis confirmed an excellent fit (comparative fit index = 0.99, root mean square error of approximation = 0.06). Pre-existing mental health conditions, having family members/friends infected with COVID-19, loneliness, anxiety and depressive symptoms were associated with higher stress. Conversely, self-infection with COVID-19, older age, being female and living alone were negatively associated with some domains of CSS-OA (all P < 0.05). CONCLUSIONS: The Delphi process enhanced our understanding of what older people perceived as stressful, much of which resulted from certain healthcare strategies and reflected cultural influences. These and the MIMIC results highlight the need to balance public health policies with respect to infectious diseases and older people's mental health and quality of life.

Prescription Digital Therapeutics for Substance Use Disorder in Primary Care: Mixed Methods Evaluation of a Pilot Implementation Study.

BACKGROUND: Delivering prescription digital therapeutics (ie, evidence-based interventions designed to treat, manage, or prevent disorders via websites or smartphone apps) in primary care could increase patient access to substance use disorder (SUD) treatments. However, the optimal approach to implementing prescription digital therapeutics in primary care remains unknown. OBJECTIVE: This pilot study is a precursor to a larger trial designed to test whether implementation strategies (practice facilitation [PF] and health coaching [HC]) improve the delivery of prescription digital therapeutics for SUDs in primary care. This mixed methods study describes outcomes among patients in the 2 pilot clinics and presents qualitative findings on implementation. METHODS: From February 10 to August 6, 2021, a total of 3 mental health specialists embedded in 2 primary care practices of the same integrated health system were tasked with offering app-based prescription digital therapeutics to patients with SUD. In the first half of the pilot, implementation activities included training and supportive tools. PF (at 1 clinic) and HC (at 2 clinics) were added in the second half. All study analyses relied on secondary data, including electronic health records and digital therapeutic vendor data. Primary outcomes were the proportion of patients reached by the prescription digital therapeutics and fidelity related to ideal use. We used qualitative methods to assess the adherence to planned activities and the barriers and facilitators to implementing prescription digital therapeutics. RESULTS: Of all 18 patients prescribed the apps, 10 (56%) downloaded the app and activated their prescription, and 8 (44%) completed at least 1 module of content. Patients who activated the app completed 1 module per week on average. Ideal use (fidelity) was defined as completing 4 modules per week and having a monthly SUD-related visit; 1 (6%) patient met these criteria for 10 weeks (of the 12-week prescription period). A total of 5 (28%) patients had prescriptions while HC was available, 2 (11%) were successfully contacted, and both declined coaching. Clinicians reported competing clinical priorities, technical challenges, and logistically complex workflows in part because the apps required a prescription. Some pilot activities were impacted by staff turnover that coincided with the COVID-19 pandemic. The facilitators to implementation were high engagement and the perception that the apps could meet patient needs. CONCLUSIONS: The pilot study encountered the barriers to implementing prescription digital therapeutics in a real-world primary care setting, especially staffing shortages, turnover, and competing priorities for clinic teams. The larger randomized trial will clarify the extent to which PF and HC improve the implementation of digital therapeutics. TRIAL REGISTRATION: ClinicalTrials.gov NCT04907045; https://clinicaltrials.gov/study/NCT04907045.

Enhancing the Clinical Utility of Radiomics: Addressing the Challenges of Repeatability and Reproducibility in CT and MRI.

Radiomics, which integrates the comprehensive characterization of imaging phenotypes with machine learning algorithms, is increasingly recognized for its potential in the diagnosis and prognosis of oncological conditions. However, the repeatability and reproducibility of radiomic features are critical challenges that hinder their widespread clinical adoption. This review aims to address the paucity of discussion regarding the factors that influence the reproducibility and repeatability of radiomic features and their subsequent impact on the application of radiomic models. We provide a synthesis of the literature on the repeatability and reproducibility of CT/MR-based radiomic features, examining sources of variation, the number of reproducible features, and the availability of individual feature repeatability indices. We differentiate sources of variation into random effects, which are challenging to control but can be quantified through simulation methods such as perturbation, and biases, which arise from scanner variability and inter-reader differences and can significantly affect the generalizability of radiomic model performance in diverse settings. Four suggestions for repeatability and reproducibility studies are suggested: (1) detailed reporting of variation sources, (2) transparent disclosure of calculation parameters, (3) careful selection of suitable reliability indices, and (4) comprehensive reporting of reliability metrics. This review underscores the importance of random effects in feature selection and harmonizing biases between development and clinical application settings to facilitate the successful translation of radiomic models from research to clinical practice.

Inclination to pursue Veterans Health Administration for primary care practice: survey of medical residents.

Introduction: Health systems like the Veterans Health Administration (VA) face challenges in recruiting and retaining a primary care physician workforce. This cross-sectional study of recent or current VA medical residents sought to identify determinants of intent to pursue primary care practice in VA after residency training. Methods: Residents were identified from administrative data between 2020 and 2021 and recruited via an emailed self-administered survey. Multivariable logistic regression, accounting for survey non-response, was applied to examine the association between intent to pursue VA practice and two sets of measures: VA training experiences and individual preferences for work conditions. Results: Of 268 responses received, 141 (56%) of the sample reported inclination to consider VA employment post-residency. Experiences with training in VA were rated more positively in the VA-inclined group compared to the not-inclined group. In the multivariable model, intent to practice primary care was the strongest predictor (OR 4.04, p < 0001). Preceptors' modeling of work-life balance (OR 3.23, p = 0.009) and perceptions of quality of clinical staff and services (OR 2.64, p = 0.004), ability to get patients the care they need (OR 2.51, p = 0.017), and quality of patient care (OR 2.30, p = 0.075) were independent predictors of being in the VA inclined group. Conclusion: Overall, we found that intent to practice primary care and the quality of VA training experiences are important determinants of inclination to consider VA for employment. These results provide an important perspective relevant to medical education, the hiring and retention of the United States (U.S). primary care workforce.

Evaluating equity in a national virtual care management intervention: Delivery and outcomes by race/ethnicity among Veterans with hypertension and diabetes.

OBJECTIVE: To evaluate whether the Preventive Health Inventory (PHI)-a virtual care management intervention addressing hypertension and diabetes management implemented nationally in the Veterans Health Administration (VHA)-was delivered equitably among racial/ethnic groups and if existing inequities in hypertension and diabetes outcomes changed following PHI receipt. DATA SOURCES AND STUDY SETTING: We used data from the VHA Corporate Data Warehouse among Veterans enrolled in primary care nationally from February 28, 2021 to March 31, 2022. STUDY DESIGN: We used logistic regression to evaluate PHI receipt and hypertension and diabetes outcomes after PHI implementation among Veterans with hypertension and/or diabetes. We conducted unadjusted analyses and analyses adjusting for clinic fixed effects using dummy variables. DATA COLLECTION/EXTRACTION METHODS: We identified Veterans engaged in primary care with documented race/ethnicity and hypertension and/or diabetes diagnoses in all months during the study period. PRINCIPLE FINDINGS: Prior to PHI, Non-Hispanic Black (NHB) (42.2%) and Hispanic (39.5%) Veterans were less likely to have controlled hypertension vs. Non-Hispanic White (NHW) Veterans (47.5%); NHB Veterans (32.9%) were more likely to have uncontrolled diabetes vs. NHW Veterans (25.1%). Among 1,805,658 Veterans, 5.7% NHW (N = 68,744), 5.6% NHB (N = 22,580), 10.2% Hispanic (N = 13,313), 6.2% Asian/Pacific Islander/Native Hawaiian (N = 1868), 5.1% American Indian/Native Alaskan (N = 744), and 5.6% multiple races or other race (N = 1647) Veterans received PHI. We found no significant racial inequities in PHI receipt in unadjusted and adjusted models. Hypertension and diabetes measures improved more in the intervention group compared with the group who did not receive the intervention. There were no new or worsened inequities after PHI, and in pre-/post-intervention analysis, among NHB Veterans, the inequity in uncontrolled diabetes improved by 1.9 percentage points (95% CI 0.2, 3.6). CONCLUSIONS: Our findings suggest the PHI intervention was equitably deployed across race/ethnicity groups without significantly impacting most existing inequities in diabetes and hypertension.

Description and Cross-Sectional Analyses of 25,880 Adults and Children in the UK National Registry of Rare Kidney Diseases Cohort.

Introduction: The National Registry of Rare Kidney Diseases (RaDaR) collects data from people living with rare kidney diseases across the UK, and is the world's largest, rare kidney disease registry. We present the clinical demographics and renal function of 25,880 prevalent patients and sought evidence of bias in recruitment to RaDaR. Methods: RaDaR is linked with the UK Renal Registry (UKRR, with which all UK patients receiving kidney replacement therapy [KRT] are registered). We assessed ethnicity and socioeconomic status in the following: (i) prevalent RaDaR patients receiving KRT compared with patients with eligible rare disease diagnoses receiving KRT in the UKRR, (ii) patients recruited to RaDaR compared with all eligible unrecruited patients at 2 renal centers, and (iii) the age-stratified ethnicity distribution of RaDaR patients with autosomal dominant polycystic kidney disease (ADPKD) was compared to that of the English census. Results: We found evidence of disparities in ethnicity and social deprivation in recruitment to RaDaR; however, these were not consistent across comparisons. Compared with either adults recruited to RaDaR or the English population, children recruited to RaDaR were more likely to be of Asian ethnicity (17.3% vs. 7.5%, P-value < 0.0001) and live in more socially deprived areas (30.3% vs. 17.3% in the most deprived Index of Multiple Deprivation (IMD) quintile, P-value < 0.0001). Conclusion: We observed no evidence of systematic biases in recruitment of patients into RaDaR; however, the data provide empirical evidence of negative economic and social consequences (across all ethnicities) experienced by families with children affected by rare kidney diseases.

Factors associated with primary care physician turnover in the VA.

OBJECTIVES: To quantify the association between primary care team workload satisfaction and primary care physician (PCP) turnover and examine potential mediation of workplace climate factors using survey and administrative data. STUDY DESIGN: Longitudinal observational study using data from 2008 to 2016. METHODS: The outcome variable was PCP turnover. The main explanatory variable was satisfaction with amount of workload. We included 7 additional workplace climate measures (eg, satisfaction with direct supervision) as mediators. We included characteristics of PCPs (eg, PCP years of experience, gender), salary, and clinic factors (eg, urban vs rural geography, community vs hospital based) as covariates. RESULTS: US Department of Veterans Affairs (VA) PCPs working at 787 VA primary care clinics nationally were recruited for this study. Over the 9-year study period, 8362 unique PCPs were employed in the VA. The unadjusted mean quarterly turnover rate was 1.83%, and the mean (SD) workload satisfaction score was 3.58 ( 0.24) on a 5-point Likert scale over the study period. In adjusted analysis, a 1-point increase in workload satisfaction was associated with a decrease of 0.73 (95% CI, 0.36-1.10) percentage points in the probability of turnover in a calendar quarter. In the mediation analysis, we found that workload satisfaction impacted turnover through only 1 of the 7 workplace climate measures: satisfaction with direction by senior managers. CONCLUSIONS: Our study findings highlight the key role that achieving primary care workload satisfaction can play in reducing PCP turnover. Identification of direction by senior managers as an underlying mechanism is an important finding for strategic planning to mitigate PCP turnover.

Developing Therapies for C3 Glomerulopathy: Report of the Kidney Health Initiative C3 Glomerulopathy Trial Endpoints Work Group.

Randomized clinical trials are underway to evaluate the efficacy of novel agents targeting the alternative complement pathway in patients with C3 glomerulopathy (C3G), a rare glomerular disease. The Kidney Health Initiative convened a panel of experts in C3G to ( 1 ) assess the data supporting the use of the prespecified trial end points as measures of clinical benefit and ( 2 ) opine on efficacy findings they would consider compelling as treatment(s) of C3G in native kidneys. Two subpanels of the C3G Trial Endpoints Work Group reviewed the available evidence and uncertainties for the association between the three prespecified end points-( 1 ) proteinuria, ( 2 ) eGFR, and ( 3 ) histopathology-and anticipated outcomes. The full work group provided feedback on the summaries provided by the subpanels and on what potential treatment effects on the proposed end points they would consider compelling to support evidence of an investigational product's effectiveness for treating C3G. Members of the full work group agreed with the characterization of the data, evidence, and uncertainties, supporting the end points. Given the limitations of the available data, the work group was unable to define a minimum threshold for change in any of the end points that might be considered clinically meaningful. The work group concluded that a favorable treatment effect on all three end points would provide convincing evidence of efficacy in the setting of a therapy that targeted the complement pathway. A therapy might be considered effective in the absence of complete alignment in all three end points if there was meaningful lowering of proteinuria and stabilization or improvement in eGFR. The panel unanimously supported efforts to foster data sharing between academic and industry partners to address the gaps in the current knowledge identified by the review of the end points in the aforementioned trials.

Association between a national behavioral weight management program and real-world weight change.

OBJECTIVE: In a national cohort of Veterans, weight change was compared between participants in a US Department of Veterans Affairs (VA) behavioral weight management program (MOVE!) and matched non-participants, and between high-intensity and low-intensity participants. METHODS: Retrospective cohort study of Veterans with 1 + MOVE! visits in 2008-2017 were matched to MOVE! non-participants via sequential stratification. Percent weight change up to two years after MOVE! initiation of participants and non-participants was modeled using generalized additive mixed models, and 1-year weight change of high-intensity or low-intensity participants was also compared. RESULTS: MOVE! participants (n = 499,696) and non-participant controls (n = 1,336,172) were well-matched, with an average age of 56 years and average BMI of 35. MOVE! participants lost 1.4 % at 12 months and 1.2 % at 24 months, which was 0.89 % points (95 % CI: 0.83-0.96) more at 12 months than non-participants and 0.55 % points (95 % CI: 0.41-0.68) more at 24 months. 9.1 % of MOVE! participants had high-intensity use in one year, and they had 2.38 % point (95 % CI: 2.25-2.52) greater weight loss than low-intensity participation at 12 months (2.8 % vs 0.4 %). CONCLUSIONS: Participation in VA's system-wide behavioral weight management program (MOVE!) was associated with modest weight loss, suggesting that program modifications are needed to increase Veteran engagement and program effectiveness. Future research should further explore how variations in program delivery and the use of newer anti-obesity medications may impact the program's effectiveness.

Disparities in telemedicine use among Native Hawaiian and Pacific Islander individuals insured through Medicaid.

States have implemented policy changes to increase access to telemedicine services for individuals receiving Medicaid benefits. Native Hawaiian and Pacific Islander (NHPI) individuals experienced disproportionate harms from COVID-19 and have long experienced disparities in health care access compared with other racial and ethnic groups, making the issue of telemedicine access particularly salient for NHPI individuals on Medicaid. Utilizing 100% 2020-2021 Medicaid claims, we compared trends in telemedicine use between NHPI and non-Hispanic White individuals on Medicaid in Washington State and conducted a decomposition analysis to identify drivers of underlying disparities. In both years, NHPI individuals were 38%-39% less likely to use any telemedicine than White individuals after adjusting for patient- and area-level characteristics. Decomposition analysis revealed that most of this difference was due to differential effects of characteristics, rather than group differences in characteristics. Namely, several characteristics that were associated with increased telemedicine use had more muted associations for NHPI vs White individuals, such as English as the primary spoken language and female sex. These findings suggest the presence of limited acceptability of or group-specific barriers to telemedicine for NHPI individuals, including potential discrimination in being offered telemedicine visits. These issues should be understood and mitigated through close collaboration between health care leaders and NHPI communities.

Differences in healthcare costs over 10 years following discharge from military service by weight trajectory.

The prevalence of overweight and obesity among military personnel has increased substantially in the past two decades. Following military discharge many personnel can receive integrated health care from the Veterans Health Administration. Prior research related to the economic impacts of obesity has not examined health care costs following the transition into civilian life following military discharge. To address this evidence gap, this study sought to compare longitudinal costs over 10 years across weight categories among VA enrollees recently discharged from the military.

Identifying Patterns of Primary Care In-Person and Telemedicine Use in the Veterans Health Administration: A Latent Class Analysis.

BACKGROUND: The Veterans Health Administration increased synchronous telemedicine (video and telephone visits) in primary care in response to the COVID-19 pandemic. OBJECTIVE: Our objective was to determine veteran use patterns of in-person and telemedicine primary care when all modalities were available. DESIGN: A retrospective cohort analysis. We performed a latent class analysis of primary care visits over a 1-year period to identify veteran subgroup (i.e., class) membership based on amount of primary care use and modality used. Then, we used multinomial logistic regression with a categorical outcome to identify patient characteristics associated with class identification. PARTICIPANTS: A random national sample consisting of 564,580 primary care empaneled veterans in June 2021. MAIN MEASURES: Latent class membership. KEY RESULTS: We identified three latent classes: those with few primary care visits that were predominantly telephone-based (45%), intermediate number of visits of all modalities (50%), and many visits of all modalities (5%). In an adjusted model, characteristics associated with the "few" visits class, compared to the intermediate class, were older age, male sex, White race, further driving distance to primary care, higher Gagne, optimal internet speed, and unmarried status (OR 1.002, 1.52, 1.13, 1.004, 1.04, 1.05, 1.06, respectively; p < .05). Characteristics associated with membership in the "many" visits class, compared to the intermediate class, were Hispanic race, higher JEN Frailty Index and Gagne (OR 1.12, 1.11, 1.02, respectively; p < .05), and higher comorbidity by Care Assessment Need score quartile (Q2 1.73, Q3 2.80, Q4 4.12; p < 0.05). CONCLUSIONS: Veterans accessing primary care in-person or via telemedicine do so primarily in three ways: (1) few visits, predominantly telephone; (2) intermediate visits, all modalities, (3) many visits, all modalities. We found no groups of veterans receiving a majority of primary care through video.

The Importance of Autonomy and Performance Goals in Perceived Workload Among Behavioral Health Providers.

OBJECTIVE: The authors sought to assess workplace characteristics associated with perceived reasonable workload among behavioral health care providers in the Veterans Health Administration. METHODS: The authors evaluated perceived reasonable workload and workplace characteristics from the 2019 All Employee Survey (AES; N=14,824) and 2019 Mental Health Provider Survey (MHPS; N=10,490) and facility-level staffing ratios from Mental Health Onboard Clinical Dashboard data. Nine AES and 15 MHPS workplace predictors of perceived reasonable workload, 11 AES and six MHPS demographic predictors, and facility-level staffing ratios were included in mixed-effects logistic regression models. RESULTS: In total, 8,874 (59.9%) AES respondents and 5,915 (56.4%) MHPS respondents reported having a reasonable workload. The characteristics most strongly associated with perceived reasonable workload were having attainable performance goals (average marginal effect [AME]=0.10) in the AES and ability to schedule patients as frequently as indicated (AME=0.09) in the MHPS. Other AES characteristics significantly associated with reasonable workload included having appropriate resources, support for personal life, skill building, performance recognition, concerns being addressed, and no supervisor favoritism. MHPS characteristics included not having collateral duties that reduce care time, staffing levels not affecting care, support staff taking over some responsibilities, having spirit of teamwork, primary care-mental health integration, participation in performance discussions, well-coordinated mental health care, effective veteran programs, working at the top of licensure, and feeling involved in improving access. Facility-level staffing ratios were not significantly associated with perceived reasonable workload. CONCLUSIONS: Leadership may consider focusing resources on initiatives that support behavioral health providers' autonomy to schedule patients as clinically indicated and develop attainable performance goals.

Effects of rare kidney diseases on kidney failure: a longitudinal analysis of the UK National Registry of Rare Kidney Diseases (RaDaR) cohort.

BACKGROUND: Individuals with rare kidney diseases account for 5-10% of people with chronic kidney disease, but constitute more than 25% of patients receiving kidney replacement therapy. The National Registry of Rare Kidney Diseases (RaDaR) gathers longitudinal data from patients with these conditions, which we used to study disease progression and outcomes of death and kidney failure. METHODS: People aged 0-96 years living with 28 types of rare kidney diseases were recruited from 108 UK renal care facilities. The primary outcomes were cumulative incidence of mortality and kidney failure in individuals with rare kidney diseases, which were calculated and compared with that of unselected patients with chronic kidney disease. Cumulative incidence and Kaplan-Meier survival estimates were calculated for the following outcomes: median age at kidney failure; median age at death; time from start of dialysis to death; and time from diagnosis to estimated glomerular filtration rate (eGFR) thresholds, allowing calculation of time from last eGFR of 75 mL/min per 1·73 m2 or more to first eGFR of less than 30 mL/min per 1·73 m2 (the therapeutic trial window). FINDINGS: Between Jan 18, 2010, and July 25, 2022, 27 285 participants were recruited to RaDaR. Median follow-up time from diagnosis was 9·6 years (IQR 5·9-16·7). RaDaR participants had significantly higher 5-year cumulative incidence of kidney failure than 2·81 million UK patients with all-cause chronic kidney disease (28% vs 1%; p<0·0001), but better survival rates (standardised mortality ratio 0·42 [95% CI 0·32-0·52]; p<0·0001). Median age at kidney failure, median age at death, time from start of dialysis to death, time from diagnosis to eGFR thresholds, and therapeutic trial window all varied substantially between rare diseases. INTERPRETATION: Patients with rare kidney diseases differ from the general population of individuals with chronic kidney disease: they have higher 5-year rates of kidney failure but higher survival than other patients with chronic kidney disease stages 3-5, and so are over-represented in the cohort of patients requiring kidney replacement therapy. Addressing unmet therapeutic need for patients with rare kidney diseases could have a large beneficial effect on long-term kidney replacement therapy demand. FUNDING: RaDaR is funded by the Medical Research Council, Kidney Research UK, Kidney Care UK, and the Polycystic Kidney Disease Charity.

Factors Associated With Use of the Preventive Health Inventory in US Veterans.

Importance: The COVID-19 pandemic caused significant declines in the quality of preventive and chronic disease care. The Veterans Health Administration (VHA) used the Preventive Health Inventory (PHI), a multicomponent care management intervention, to catch up on care disrupted by the pandemic. Objective: To identify key factors associated with PHI use. Design, Setting, and Participants: This cohort study of veterans receiving primary care used administrative data from national VHA primary care clinics for February 1, 2021, through February 1, 2022. Exposure: Patient PHI receipt. Main Outcomes and Measures: The main outcomes were patient, practitioner, and clinic factors associated with PHI receipt. Binomial generalized linear models with fixed effects for clinic were used to analyze factors associated with receipt of PHI. Least absolute shrinkage and selection operator procedures were used for variable selection. Results: A total of 4 358 038 veterans (mean [SD] age, 63.7 [16.0] years; 90% male; 76% non-Hispanic White) formed the study cohort, of whom 389 757 (9%) received the PHI. Veterans who received the PHI had higher mean Care Assessment Need (CAN) scores, which indicate the likelihood of hospitalization or death within 1 year (mean [SD], 51.9 [28.6] vs 47.2 [28.6]; standardized mean difference [SMD], -0.16). They were also more likely to live in urban areas (77% vs 64%; SMD, 0.28) and have a shorter drive distance to primary care (mean [SD], 13.2 [12.4] vs 15.7 [14.6] miles; SMD, 0.19). The mean outpatient use was higher among PHI recipients compared with non-PHI recipients (mean [SD], 18.4 [27.8] vs 15.1 [24.1] visits; SMD, -0.13). In addition, veterans with primary care practitioners with higher caseloads were more likely to receive the PHI (mean [SD], 778 [231] vs 744 [249] patients; SMD, -0.14), and they were more likely to be seen at larger clinics (mean [SD], 9670 [6876] vs 8786 [6892] patients; SMD, -0.13). Prior outpatient use and CAN score were associated with PHI receipt in the final model. Conclusions and Relevance: In this cohort study of the VHA's PHI, patients with higher CAN scores and more outpatient use in the previous year were more likely to receive the PHI. This study identifies potential intervention points to improve care coordination for veterans.

Association Between a National Behavioral Weight Management Program and Veterans Affairs Health Expenditures.

OBJECTIVE: The association between participation in a behavioral weight intervention and health expenditures has not been well characterized. We compared Veterans Affairs (VA) expenditures of individuals participating in MOVE!, a VA behavioral weight loss program, and matched comparators 2 years before and 2 years after MOVE! initiation. METHODS: Retrospective cohort study of Veterans who had one or more MOVE! visits in 2008-2017 who were matched contemporaneously to up to 3 comparators with overweight or obesity through sequential stratification on an array of patient characteristics, including sex. Baseline patient characteristics were compared between the two cohorts through standardized mean differences. VA expenditures in the 2 years before MOVE! initiation and 2 years after initiation were modeled using generalized estimating equations with a log link and distribution with variance proportional to the standard deviation (gamma). RESULTS: MOVE! participants (n=499,696) and comparators (n=1,336,172) were well-matched, with an average age of 56, average body mass index of 35, and similar total VA expenditures in the fiscal year before MOVE! initiation ($9662 for MOVE! participants and $10,072 for comparators, standardized mean difference=-0.019). MOVE! participants had total expenditures that were statistically lower than matched comparators in the 6 months after initiation but modestly higher in the 6 months to 2 years after initiation, though differences were small in magnitude (1.0%-1.6% differences). CONCLUSIONS: The VA's system-wide behavioral weight intervention did not realize meaningful short-term health care cost savings for participants.