Health Services Research最新文献

Objective: To determine whether availability of behavioral health crisis care services is associated with changes in emergency department (ED) utilization.

Data sources and study setting: We used longitudinal panel data (2016-2021) on ED utilization from the Healthcare Cost and Utilization Project's State ED Databases and a novel dataset on crisis care services compiled using information from the Substance Abuse and Mental Health Services Administration's National Directories of Mental Health Treatment Facilities. A total of 1002 unique zip codes from Arizona, Florida, Kentucky, Maryland, and Wisconsin were included in our analyses.

Study design: To estimate the effect of crisis care availability on ED utilization, we used a linear regression model with zip code and year fixed effects and standard errors accounting for clustering at the zip code-level. ED utilization related to mental, behavioral, and neurodevelopmental (MBD) disorders served as our primary outcome. We also examined pregnancy-related ED utilization as a nonequivalent dependent variable to assess residual bias in effect estimates.

Data collection/extraction methods: We extracted data on crisis care services offered by mental health treatment facilities (n = 14,726 facility-years) from the National Directories. MBD-related ED utilization was assessed by applying the Clinical Classification Software Refined from the Healthcare Cost and Utilization Project to the primary ICD-10-CM diagnosis code on each ED encounter (n = 101,360,483). All data were aggregated to the zip code-level (n = 6012 zip-years).

Principal findings: The overall rate of MBD-related ED visits between 2016 and 2021 was 1610 annual visits per 100,000 population. Walk-in crisis stabilization services were associated with reduced MBD-related ED utilization (coefficient = -0.028, p = 0.009), but were not significantly associated with changes in pregnancy-related ED utilization.

Conclusions: Walk-in crisis stabilization services were associated with reductions in MBD-related ED utilization. Decision-makers looking to reduce MBD-related ED utilization should consider increasing access to this promising alternative model.

Objective: To assess whether a team collaboration strategy (CONNECT) improves implementation outcomes of a family caregiver skills training program (iHI-FIVES).

Data sources and study setting: iHI-FIVES was delivered to caregivers at eight Veterans Affairs (VA) medical centers. Data sources were electronic health records, staff surveys, and interviews.

Study design: In a stepped wedge cluster randomized trial, sites were randomized to a 6-month time interval start date for iHI-FIVES launch. Sites were then randomized 1:1 to either (i) CONNECT, a team collaboration training strategy plus Replicating Effective Programs (REP), brief technical support training for staff, or (ii) REP only (non-CONNECT arm). Implementation outcomes included reach (proportion of eligible caregivers enrolled) and fidelity (proportion of expected trainings delivered). Staff interviews and surveys assessed team function including communication, implementation experience, and their relation to CONNECT and iHI-FIVES implementation outcomes.

Data collection/extraction methods: The sample for assessing implementation outcomes included 571 Veterans referred to VA home- and community-based services and their family caregivers eligible for iHI-FIVES. Prior to iHI-FIVES launch, staff completed 65 surveys and 62 interviews. After the start of iHI-FIVES, staff completed 52 surveys and 38 interviews. Mixed methods evaluated reach and fidelity by arm.

Principal findings: Fidelity was high overall with 88% of expected iHI-FIVES trainings delivered, and higher among REP only (non-CONNECT) compared with CONNECT sites (95% vs. 80%). Reach was 18% (average proportion of reach across eight sites) and higher among non-CONNECT compared with CONNECT sites (22% vs. 14%). Qualitative interviews revealed strong leadership support at high-reach sites. CONNECT did not influence self-reported team function.

Conclusions: A team collaboration strategy (CONNECT), added to REP, required more resources to implement iHI-FIVES than REP only and did not substantially enhance reach or fidelity. Leadership support was a key condition of implementation success and may be an important factor for improving iHI-FIVES reach with national expansion.

Objective: To identify organizational service features associated with positive patient ratings of primary care within primary care clinics tailored to accommodate persons with ongoing and recent experiences of homelessness (PEH).

Data sources and study setting: PEH receiving primary care in 29 United States Veterans Health Administration homeless-tailored clinics were surveyed about their primary care experience using the validated Primary Care Quality-Homeless (PCQ-H) survey. Characteristics of the clinics were assessed through surveys of clinic staff using a new organizational survey developed through literature review, site visits, statistical analysis, and consensus deliberation.

Study design: Cross-sectional examination of patients' ratings of care based on surveys of patients, and of clinic characteristics, analyzed with Classification and Regression Tree (CART) analysis, a form of machine learning.

Data collection methods: Patient surveys (n = 3394) were obtained from a random sample of enrolled patients by both mail and telephone by an external survey contractor. Staff (n = 52 from 29 clinics) were interviewed by telephone.

Principal findings: This analysis identified service features that impact patient experience favorably, including aspects of patient-centeredness, team identity, strong external leadership support, and service that reach beyond traditional primary care clinic confines. Results varied according to the patient experience scale analyzed. Individual characteristics of PEH, such as degree of social support, general health, and unsheltered status, were also correlated with how they rate care.

Conclusions: Organizational characteristics correlate with ratings of primary care from patients with recent and ongoing homelessness. Primary care programs serving homeless individuals can assure better care based on who they hire, how they foster team identity, what services they provide, and the strength of leadership support to protect a homeless-focused mission.

Objective: To examine the relationship between site-level adaptation and early adoption of Caregivers Finding Important Resources, Support, and Training (FIRST) training during national implementation across diverse Veteran Health Administration (VA) medical centers.

Data sources and study setting: We enrolled and evaluated 25 VA medical centers (VAMCs). Along with administrative data on site characteristics, we examined site-reported data on adaptations and intervention adoption, defined as ≥4 training classes delivered to ≥5 caregivers at 6 months from April through October 2022.

Study design: A type III hybrid implementation-effectiveness cluster randomized controlled trial, randomized VAMCs 1:1 to receive foundational (low-touch) implementation support (n = 12) or the addition of enhanced (high-touch) implementation support (n = 13).

Data collection/extraction methods: At key implementation phases, VAMCs were asked to report adaptations including content, contextual modifications (format, setting, personnel, and population), and training of providers. We describe site-level adaptations by arm and by organizational characteristics that included VAMC complexity level, staffing, rurality, and organizational readiness to change. We used qualitative comparative analysis to identify unique adaptations that contributed to intervention adoption at 6 months.

Principal findings: VAMCs randomized to receive enhanced support reported slightly more adaptations than those randomized to foundational support. At 6 months, VAMCs with two or more adaptations adopted Caregivers FIRST at a higher rate than those with fewer adaptations (90% vs. 44%). Staffing adaptations (e.g., who delivered the intervention), format and content (e.g., modified delivery pace), and referring provider training were unique adaptations to adopting sites.

Conclusions: Site-level adaptations were diverse and occurred more frequently in sites with early adoption of Caregivers FIRST. Future research should identify best practices of supporting and monitoring intervention adaptation. Understanding the role of adaptation in early adoption success could assist other healthcare systems in implementing interventions for caregivers.

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.

Objective: To develop, deploy, and evaluate a national, electronic health record (EHR)-based dashboard to support safe prescribing of biologic and targeted synthetic disease-modifying agents (b/tsDMARDs) in the United States Veterans Affairs Healthcare System (VA).

Data sources and study setting: We extracted and displayed hepatitis B (HBV), hepatitis C (HCV), and tuberculosis (TB) screening data from the EHR for users of b/tsDMARDs using PowerBI (Microsoft) and deployed the dashboard to VA facilities across the United States in 2022; we observed facilities for 44 weeks post-deployment.

Study design: We examined the association between dashboard engagement by healthcare personnel and the percentage of patients with all screenings complete (HBV, HCV, and TB) at the facility level using an interrupted time series. Based on frequency of sessions, facilities were grouped into high- and low/none-engagement categories. We modeled changes in complete screening pre- and post-deployment of the dashboard.

Data collection methods: All VA facilities were eligible for inclusion; excluded facilities participated in design of the dashboard or had <20 patients receiving b/tsDMARDs. Session counts from facility personnel were captured using PowerBI audit log data. Outcomes were assessed weekly based on EHR data extracted via the dashboard itself.

Principal findings: Totally 117 facilities (serving a total of 41,224 Veterans prescribed b/tsDMARDs) were included. Before dashboard deployment, across all facilities, 61.5% of patients had all screenings complete, which improved to 66.3% over the course of the study period. The largest improvement (15 percentage points, 60.3%-75.3%) occurred among facilities with high engagement (post-intervention difference in outcome between high and low/none-engagement groups was 0.17 percentage points (pp) per week, 95% confidence interval (0.04 pp, 0.30 pp); p = 0.01).

Conclusions: We observed significant improvements in screening for latent infections among facilities with high engagement with the dashboard, compared with those with fewer sessions.