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Background: Residential mobility, or a change in residence, can influence health care utilization and outcomes. Health systems can leverage their patients' residential addresses stored in their electronic health records (EHRs) to better understand the relationships among patients' residences, mobility, and health. The Veteran Health Administration (VHA), with a unique nationwide network of health care systems and integrated EHR, holds greater potential for examining these relationships.

Methods: We conducted a cross-sectional analysis to examine the association of sociodemographics, clinical conditions, and residential mobility. We defined residential mobility by the number of VHA EHR residential addresses identified for each patient in a 1-year period (1/1-12/31/2018), with 2 different addresses indicating one move. We used generalized logistic regression to model the relationship between a priori selected correlates and residential mobility as a multinomial outcome (0, 1, ≥2 moves).

Results: In our sample, 84.4% (n=3,803,475) veterans had no move, 13.0% (n=587,765) had 1 move, and 2.6% (n=117,680) had ≥2 moves. In the multivariable analyses, women had greater odds of moving [aOR=1.11 (95% CI: 1.10,1.12) 1 move; 1.27 (1.25,1.30) ≥2 moves] than men. Veterans with substance use disorders also had greater odds of moving [aOR=1.26 (1.24,1.28) 1 move; 1.77 (1.72,1.81) ≥2 moves].

Discussion: Our study suggests about 16% of veterans seen at VHA had at least 1 residential move in 2018. VHA data can be a resource to examine relationships between place, residential mobility, and health.

Background: Excessive interhospital variation threatens healthcare quality. Data on variation in patient outcomes across the whole cardiovascular spectrum are lacking. We aimed to examine interhospital variability for 28 cardiovascular All Patient Refined-Diagnosis-related Groups (APR-DRGs).

Methods: We studied 103,299 cardiovascular admissions in 99 (98%) Belgian acute-care hospitals between 2012 and 2018. Using generalized linear mixed models, we estimated hospital-specific and APR-DRG-specific risk-standardized rates for in-hospital mortality, 30-day readmissions, and length-of-stay above the APR-DRG-specific 90th percentile. Interhospital variation was assessed based on estimated variance components and time trends between the 2012-2014 and 2016-2018 periods were examined.

Results: There was strong evidence of interhospital variation, with statistically significant variation across the 3 outcomes for 5 APR-DRGs after accounting for patient and hospital factors: percutaneous cardiovascular procedures with acute myocardial infarction, heart failure, hypertension, angina pectoris, and arrhythmia. Medical diagnoses, with in particular hypertension, heart failure, angina pectoris, and cardiac arrest, showed strongest variability, with hypertension displaying the largest median odds ratio for mortality (2.51). Overall, hospitals performing at the upper-quartile level should achieve improvements to the median level, and an annual 633 deaths, 322 readmissions, and 1578 extended hospital stays could potentially be avoided.

Conclusions: Analysis of interhospital variation highlights important outcome differences that are not explained by known patient or hospital characteristics. Targeting variation is therefore a promising strategy to improve cardiovascular care. Considering their treatment in multidisciplinary teams, policy makers, and managers should prioritize heart failure, hypertension, cardiac arrest, and angina pectoris improvements by targeting guideline implementation outside the cardiology department.

Objective: The aim of this study was to explore heterogeneity in the cost-effectiveness of high-flow nasal cannula (HFNC) therapy compared with continuous positive airway pressure (CPAP) in children following extubation.

Design: Using data from the FIRST-line support for Assistance in Breathing in Children (FIRST-ABC) trial, we explore heterogeneity at the individual and subgroup levels using a causal forest approach, alongside a seemingly unrelated regression (SUR) approach for comparison.

Settings: FIRST-ABC is a noninferiority randomized controlled trial (ISRCTN60048867) including children in UK paediatric intensive care units, which compared HFNC with CPAP as the first-line mode of noninvasive respiratory support.

Patients: In the step-down FIRST-ABC, 600 children clinically assessed to require noninvasive respiratory support were randomly assigned to HFNC and CPAP groups with 1:1 treatment allocation ratio. In this analysis, 118 patients were excluded because they did not consent to accessing their medical records, did not consent to follow-up questionnaire or did not receive respiratory support.

Measurements and main results: The primary outcome of this study is the incremental net monetary benefit (INB) of HFNC compared with CPAP using a willingness-to-pay threshold of £20,000 per QALY gain. INB is calculated based on total costs and quality adjusted life years (QALYs) at 6 months. The findings suggest modest heterogeneity in cost-effectiveness of HFNC compared with CPAP at the subgroup level, while greater heterogeneity is detected at the individual level.

Conclusions: The estimated overall INB of HFNC is smaller than the INB for patients with better baseline status suggesting that HFNC can be more cost-effective among less severely ill patients.

Background: Beginning in July 2016, transgender service members in the US military were allowed to receive gender-affirming medical care, if so desired.

Objective: This study aimed to evaluate variation in time-to-hormone therapy initiation in active duty Service members after the receipt of a diagnosis indicative of gender dysphoria in the Military Health System.

Research design: This retrospective cohort study included data from those enrolled in TRICARE Prime between July 2016 and December 2021 and extracted from the Military Health System Data Repository.

Participants: A population-based sample of US Service members who had an encounter with a relevant International Classification of Diseases 9/10 diagnosis code.

Measures: Time-to-gender-affirming hormone initiation after diagnosis receipt.

Results: A total of 2439 Service members were included (M age 24 y; 62% white, 16% Black; 12% Latine; 65% Junior Enlisted; 37% Army, 29% Navy, 25% Air Force, 7% Marine Corps; 46% first recorded administrative assigned gender marker female). Overall, 41% and 52% initiated gender-affirming hormone therapy within 1 and 3 years of diagnosis, respectively. In the generalized additive model, time-to-gender-affirming hormone initiation was longer for Service members with a first administrative assigned gender marker of male relative to female ( P <0.001), and Asian and Pacific Islander ( P =0.02) and Black ( P =0.047) relative to white Service members. In time-varying interactions, junior enlisted members had longer time-to-initiation, relative to senior enlisted members and junior officers, until about 2-years postinitial diagnosis.

Conclusion: The significant variation and documented inequities indicate that institutional data-driven policy modifications are needed to ensure timely access for those desiring care.

Background: Rural cancer survivors may face greater challenges receiving survivorship care than urban cancer survivors.

Purpose: To test for rural versus urban inequities and identify other correlates of discussions about cancer survivorship care with healthcare professionals.

Methods: Data are from the 2017 Medical Expenditure Panel Survey (MEPS), which included a cancer survivorship supplement. Adult survivors were asked if they discussed with a healthcare professional 5 components of survivorship care: need for follow-up services, lifestyle/health recommendations, emotional/social needs, long-term side effects, and a summary of treatments received. The Behavioral Model of Health Services guided the inclusion of predisposing, enabling, and need factors in ordered logit regression models of each survivorship care variable.

Results: A significantly lower proportion of rural than urban survivors (42% rural, 52% urban) discussed in detail the treatments they received, but this difference did not persist in the multivariable model. Although 69% of rural and 70% of urban ssurvivors discussed in detail their follow-up care needs, less than 50% of both rural and urban survivors discussed in detail other dimensions of survivorship care. Non-Hispanic Black race/ethnicity and time since treatment were associated with lower odds of discussing 3 or more dimensions of survivorship care.

Conclusions: This study found only a single rural/urban difference in discussions about survivorship care. With the exception of discussions about the need for follow-up care, rates of discussing in detail other dimensions of survivorship care were low among rural and urban survivors alike.

Introduction: Methamphetamine detoxification before entering formal and longer term treatment may have a positive impact on treatment retention and success. Understanding geographic distribution of methamphetamine specialty detox services and differential access by race/ethnicity is critical for establishing policies that ensure equitable access across populations.

Methods: We used the Mental health and Addiction Treatment Tracking Repository to identify treatment facilities that offered any substance use detoxification in 2021 (N=2346) as well as the census block group in which they were located. We sourced data from the US Census Bureau to identify the percentage of a census block group that was White, Black, and Hispanic. We used logistic regression to model the availability of methamphetamine-specific detox, predicted by the percentage of a block group that was Black and Hispanic. We adjusted for relevant covariates and defined state as a random effect. We calculated model-based predicted probabilities.

Results: Over half (60%) of detox facilities offered additional detox services specifically for methamphetamine. Sixteen states had <10 methamphetamine-specific detox facilities. The predicted probability of methamphetamine-specific detox availability was 60% in census block groups with 0%-9% Black residents versus only 46% in census block groups with 90%-100% Black residents, and was 61% in census block groups with 0%-9% Hispanic residents versus 30% in census block groups with 90%-100% Hispanic residents.

Conclusions: During an unprecedented national methamphetamine crisis, access to a critical health care service was disproportionately lower in communities that were predominately Black and Hispanic. We orient our findings around a discussion of health disparities, residential segregation, and the upstream causes of the systematic exclusion of minoritized communities from health care.

Background: HCAHPS' 2008 initial public reporting, 2012 inclusion in the Hospital Value-Based Purchasing Program (HVBP), and 2015 inclusion in Hospital Star Ratings were intended to improve patient experiences.

Objectives: Characterize pre-COVID-19 (2008-2019) trends in hospital consumer assessment of healthcare providers and systems (HCAHPS) scores.

Research design: Describe HCAHPS score trends overall, by phase: (1) initial public reporting period (2008-2013), (2) first 2 years of HVBP (2013-2015), and (3) initial HCAHPS Star Ratings reporting (2015-2019); and by hospital characteristics (HCAHPS decile, ownership, size, teaching affiliation, and urban/rural).

Subjects: A total of 3909 HCAHPS-participating US hospitals.

Measures: HCAHPS summary score (HCAHPS-SS) and 9 measures.

Results: The mean 2007-2019 HCAHPS-SS improvement in most-positive-category ("top-box") responses was +5.2 percentage points/pp across all hospitals (where differences of 5pp, 3pp, and 1pp are "large," "medium," and "small"). Improvement rate was largest in phase 1 (+0.8/pp/year vs. +0.2pp/year and +0.1pp/year for phases 2 and 3, respectively). Improvement was largest for Overall Rating of Hospital (+8.5pp), Discharge Information (+7.3pp), and Nurse Communication (+6.5pp), smallest for Doctor Communication (+0.8pp). Some measures improved notably through phases 2 and 3 (Nurse Communication, Staff Responsiveness, Overall Rating of Hospital), but others slowed or reversed in Phase 3 (Communication about Medicines, Quietness). Bottom-decile hospitals improved more than other hospitals for all measures.

Conclusions: All HCAHPS measures improved rapidly 2008-2013, especially among low-performing (bottom-decile) hospitals, narrowing the range of performance and improving scores overall. This initial improvement may reflect widespread, general quality improvement (QI) efforts in lower-performing hospitals. Subsequent slower improvement following the introduction of HVBP and Star Ratings may have reflected targeted, resource-intensive QI in higher-performing hospitals.

Research design: Community-engaged qualitative study using inductive thematic analysis of semistructured interviews.

Objective: To understand Latine immigrants' recent prenatal care experiences and develop community-informed strategies to mitigate policy-related chilling effects on prenatal care utilization.

Background: Decreased health care utilization among immigrants due to punitive immigration policies (ie, the "chilling effect") has been well-documented among Latine birthing people both pre and postnatally.

Patients and methods: Currently or recently pregnant immigrant Latine people in greater Philadelphia were recruited from an obstetric clinic, 2 pediatric primary care clinics, and 2 community-based organization client pools. Thematic saturation was achieved with 24 people. Participants' pregnancy narratives and their perspectives on how health care providers and systems could make prenatal care feel safer and more comfortable for immigrants.

Results: Participants' recommendations for mitigating the chilling effect during the prenatal period included training prenatal health care providers to sensitively initiate discussions about immigrants' rights and reaffirm confidentiality around immigration status. Participants suggested that health care systems should expand sources of information for pregnant immigrants, either by partnering with community organizations to disseminate information or by increasing access to trusted individuals knowledgeable about immigrants' rights to health care. Participants also suggested training non-medical office staff in the use of interpreters.

Conclusion: Immigrant Latine pregnant and birthing people in greater Philadelphia described ongoing fear and confusion regarding the utilization of prenatal care, as well as experiences of discrimination. Participants' suggestions for mitigating immigration-related chilling effects can be translated into potential policy and programmatic interventions which could be implemented locally and evaluated for broader applicability.

Objective: Fragmented readmissions, when admission and readmission occur at different hospitals, are associated with increased charges compared with nonfragmented readmissions. We assessed if hospital participation in health information exchange (HIE) was associated with differences in total charges in fragmented readmissions.

Data source: Medicare Fee-for-Service Data, 2018.

Study design: We used generalized linear models with hospital referral region and readmission month fixed effects to assess relationships between information sharing (same HIE, different HIEs, and no HIE available) and total charges of 30-day readmissions among fragmented readmissions; analyses were adjusted for patient-level clinical/demographic characteristics and hospital-level characteristics.

Data extraction methods: We included beneficiaries with a hospitalization for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues with a 30-day readmission for any reason.

Principal findings: In all, 279,729 admission-readmission pairs were included, 27% of which were fragmented (n=75,438); average charges of fragmented readmissions were $64,897-$71,606. Compared with fragmented readmissions where no HIE was available, the average marginal effects of same-HIE and different-HIE admission-readmission pairs were -$2329.55 (95% CI: -7333.73, 2674.62) and -$3905.20 (95% CI: -7592.85, -307.54), respectively. While the average marginal effects of different-HIE pairs were lower than those for no-HIE fragmented readmissions, the average marginal effects of same-HIE and different-HIE pairs were not significantly different from each other.

Conclusions: There were no statistical differences in charges between fragmented readmissions to hospitals that share an HIE or that do not share an HIE compared with hospitals with no HIE available.