ArticlePublic health reports (Washington, D.C. : 1974)
Patient-Centered Care Through Nurse Practitioner-Led Integrated Behavioral Health: A Case Study.
Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Confronting nihilism and stigma in lung cancer: The nurse practitioner's role in restoring hope and trust.Journal of the American Association of Nurse Practitioners · 2026Article
- An Evidence-Based Intervention to IncreaseOpen forum infectious diseases · 2025Article
- Engineering Integrated Care Expansion and Innovation: Drawing upon Nursing Leadership.International journal of environmental research and public health · 2025Article
- 25 Years of Electronic Health Record Implementation Processes: Scoping Review.Journal of medical Internet research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Integrated behavioral health can improve primary care and mental health outcomes. Access to behavioral health and primary care services in Texas is in crisis because of high uninsurance rates, regulatory restrictions, and lack of workforce. To address gaps in access to care, a partnership formed among a large local mental health authority in central Texas, a federally designated rural health clinic, and the Texas A&M University School of Nursing to create an interprofessional team-based health care delivery model led by nurse practitioners in rural and medically underserved areas of central Texas. Academic-practice partners identified 5 clinics for an integrated behavioral health care delivery model. From July 1, 2020, through December 31, 2021, a total of 3183 patient visits were completed. Patients were predominantly female (n = 1719, 54%) and Hispanic (n = 1750, 55%); 1050 (33%) were living at or below the federal poverty level; and 1400 (44%) were uninsured. The purpose of this case study was to describe the first year of implementation of the integrated health care delivery model, barriers to implementation, challenges to sustainability, and successes. We analyzed data from multiple sources, including meeting minutes and agendas, grant reports, direct observations of clinic flow, and interviews with clinic staff, and identified common qualitative themes (eg, challenges to integration, sustainability of integration, outcome successes). Results revealed implementation challenges with the electronic health record, service integration, low staffing levels during a global pandemic, and effective communication. We also examined 2 patient cases to illustrate the success of integrated behavioral health and highlighted lessons learned from the implementation process, including the need for a robust electronic health record and organizational flexibility.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.