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1.
J Gen Intern Med ; 2024 Apr 30.
Article in English | MEDLINE | ID: mdl-38689118

ABSTRACT

BACKGROUND: Women Veterans with co-morbid medical and mental health conditions face persistent barriers accessing high-quality health care. Evidence-based quality improvement (EBQI) offers a systematic approach to implementing new care models that can address care gaps for women Veterans. OBJECTIVE: This study examines factors associated with the successful deployment of EBQI within integrated health systems to improve primary care for women Veterans with complex mental health needs. DESIGN: Following a 12-site (8 EBQI, 4 control) cluster randomized study to evaluate EBQI effectiveness, we conducted an in-depth case study analysis of one women's health clinic that used EBQI to improve integrated primary care-mental health services for women Veterans. PARTICIPANTS: Our study sample included providers, program managers, and clinic staff at a women Veteran's health clinic that, at the time of the study, had one Primary Care and Mental Health Integration team and one women's health primary care provider serving 800 women. We analyzed interviews conducted 12 months, 24 months, and 4 years post-implementation and call summaries between the clinic and support team. MAIN MEASURES: We conducted qualitative thematic analysis of interview and call summary data to identify EBQI elements, clinic characteristics, and reported challenges and successes within project development and execution. KEY RESULTS: The clinic harnessed core EBQI elements (multi-level stakeholder engagement, data-driven progress-monitoring, PDSA cycles, sharing results) to accomplish pre-defined project goals, strengthen inter-disciplinary partnerships, and bolster team confidence. Clinic characteristics that facilitated implementation success included prior QI experience and an organizational culture responsive to innovation, while lack of pre-existing guidelines and limited access to centralized databases posed implementation challenges. CONCLUSIONS: Successful practice transformation emerges through the interaction of evidence-based methods and site-specific characteristics. Examining how clinic characteristics support or impede EBQI adaptation can facilitate efforts to improve care within integrated health systems.

2.
J Womens Health (Larchmt) ; 33(5): 604-612, 2024 May.
Article in English | MEDLINE | ID: mdl-38386795

ABSTRACT

Background: Delaying needed medical care contributes to greater health risks and higher long-term medical costs. Women Veterans with complex medical and mental health needs face increased barriers to timely care access. Objectives: In a sample of women Veterans with recent engagement in Veterans Administration (VA) primary care, we aimed to compare characteristics of women Veterans who delayed care in the past 6 months with those who did not and examine factors associated with self-reported delayed care. Our study aims to inform interventions focused on eliminating health care access disparities among women Veterans. Materials and Methods: An innovation to improve women Veterans' engagement and retention in evidence-based health care for cardiovascular (CV) risk reduction (CV Toolkit) was implemented across five primary care sites within the VA. Women Veterans who were exposed to at least one CV Toolkit component participated in a mailed survey (n = 253). We used multivariate logistic regression to model factors associated with delaying care, including trust in VA providers, positive mental health screening (i.e., positive screen for either depression or anxiety), traumatic experience, self-rated health, and age. Results: Women with any mental health symptoms (odds ratio [OR] 2.42, 95% confidence interval [CI]: 1.23-4.74) and women who had experienced a traumatic event (OR 2.61, 95%CI: 1.11-6.14) were significantly more likely to report delaying care. Conclusions: Our study identified high rates of delayed care-over one-third of respondents-among women Veterans with recent primary care engagement. Mental health symptoms were the most common reported reason for delay among those who delayed care. Clinical Trial registration: NCT02991534.


Subject(s)
Health Services Accessibility , Primary Health Care , United States Department of Veterans Affairs , Veterans , Humans , Female , Veterans/psychology , Veterans/statistics & numerical data , Middle Aged , United States , Adult , Patient Acceptance of Health Care/statistics & numerical data , Patient Acceptance of Health Care/psychology , Surveys and Questionnaires , Aged , Cardiovascular Diseases/epidemiology , Logistic Models
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