ArticleHealth services research2018
Patient Experience of Chronic Illness Care and Medical Home Transformation in Safety Net Clinics.
Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Pooled it
- The Coordination Toolkit and Coaching Project: Cluster-Randomized Quality Improvement Initiative to Improve Patient Experience of Care Coordination.Journal of general internal medicine · 2022Trial
- Early experience of the quality improvement award program in federally funded health centers.Health services research · 2022Article
- Patient experience of health care system hassles: Dual-system vs single-system users.Health services research · 2020Article
- Article
- Veteran Patient Perspectives and Experiences During Implementation of a Patient-Centered Medical Home Model.Journal of patient experience · 2018Article
- What matters in patient-centered medical home transformation: Whole system evaluation outcomes of the Brown Primary Care Transformation Initiative.SAGE open medicine · 2018Article
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 2 institutions in 1 country.
Funding
Abstract
objectiveTo examine the relationship between medical home transformation and patient experience of chronic illness care. STUDY
settingThirteen safety net clinics located in five states enrolled in the Safety Net Medical Home Initiative. STUDY
designRepeated cross-sectional surveys of randomly selected adult patients were completed at baseline (n = 303) and postintervention (n = 271). DATA COLLECTION
methodsQuestions from the Patient Assessment of Chronic Illness Care (PACIC) (100-point scale) were used to capture patient experience of chronic illness care. Generalized estimating equation methods were used to (i) estimate how differential improvement in patient-centered medical home (PCMH) capability affected differences in modified PACIC scores between baseline and postintervention, and (ii) to examine cross-sectional associations between PCMH capability and modified PACIC scores for patients at completion of the intervention. PRINCIPAL
findingsIn adjusted analyses, high PCMH improvement (above median) was only marginally associated with a larger increase in total modified PACIC score (adjusted β = 7.7, 95 percent confidence interval [CI]: -1.1 to 16.5). At completion of the intervention, a 10-point higher PCMH capability score was associated with an 8.9-point higher total modified PACIC score (95 percent CI: 3.1-14.7) and higher scores in four of five subdomains (patient activation, delivery system design, contextual care, and follow-up/coordination).
conclusionsWe report that sustained, 5-year medical home transformation may be associated with modest improvement in patient experience of chronic illness care for vulnerable populations in safety net clinics.
Indexed as
Identifiers
What OpenQuestion holds
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.