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Record W4382631011 · doi:10.1097/jhq.0000000000000385

Assessing Factors Influencing Commitment to a Disparities Reduction Intervention: Social Justice Attitudes and Organizational Mission

2023· article· en· W4382631011 on OpenAlexaff
Jill A. Marsteller, Yea‐Jen Hsu, Kristina Weeks, Modupe Oduwole, Romsai T. Boonyasai, Gideon D. Avornu, Katherine B. Dietz, Zehui Zhou, Deven Brown, Anika L Hines, Suna Chung, Lisa H. Lubomski, Kathryn A. Carson, Chidinma A. Ibe, Lisa A. Cooper

Bibliographic record

VenueJournal for Healthcare Quality · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsCargill (Canada)
FundersAgency for Healthcare Research and QualityU.S. Department of Health and Human ServicesNational Institutes of HealthNational Heart, Lung, and Blood InstituteAustralian GovernmentPatient-Centered Outcomes Research InstituteJohns Hopkins University
KeywordsDisadvantagedCultural competenceNursingCompetence (human resources)Psychological interventionHealth careQualitative researchPsychologyMedicinePolitical scienceSocial psychologySociology

Abstract

fetched live from OpenAlex

ABSTRACT: This mixed-methods study aims to understand what the perceptions of leaders and healthcare professionals are regarding causes of disparities, cultural competence, and motivation before launching a disparity reduction project in hypertension care, contrasting perceptions in Federally Qualified Health Centers (FQHCs), and in a non-FQHC system. We interviewed leaders of six participating primary care systems and surveyed providers and staff. FQHC respondents reported more positive cultural competence attitudes and behavior, higher motivation to implement the project, and less concern about barriers to caring for disadvantaged patients than those in the non-FQHC practices; however, egalitarian beliefs were similar among all. Qualitative analysis suggested that the organizational missions of the FQHCs reflect their critical role in serving vulnerable populations. All system leaders were aware of the challenges of provider care to underserved groups, but comprehensive initiatives to address social determinants of health and improve cultural competence were still needed in both system types. The study provides insights into the perceptions and motivations of primary care organizational leaders and providers who are interested in improving chronic care. It also offers an example for care disparity programs to understand commitment and values of the participants for tailoring interventions and setting baseline for progress.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.246
GPT teacher head0.537
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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