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Exploring health equity integration among health service and delivery systems in Nova Scotia: perspectives of health system partners

2024· other· en· W6958509926 on OpenAlexaffabout

Bibliographic record

VenueFigshare · 2024
Typeother
Languageen
FieldMathematics
TopicBenford’s Law and Fraud Detection
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHealth equityEquity (law)Qualitative researchPopulationPopulation healthService delivery frameworkHealth policyPublic health

Abstract

fetched live from OpenAlex

Abstract Background Achieving health equity is important to improve population health; however, health equity is not typically well defined, integrated, or measured within health service and delivery systems. To improve population health, it is necessary to understand barriers and facilitators to health equity integration within health service and delivery systems. This study aimed to explore health equity integration among health systems workers and identify key barriers and facilitators to implementing health equity strategies within the health service and delivery system in Nova Scotia, ahead of the release of a Health Equity Framework, focused on addressing inequities within publicly funded institutions. Methods Purposive sampling was used to recruit individuals working on health equity initiatives including those in high-level leadership positions within the Nova Scotia health system. Individual interviews and a joint interview session were conducted. Topics of discussion included current integration of health equity through existing strategies and perceptions within participant roles. The Consolidated Framework for Implementation Research (CFIR) was used to guide coding and analysis, with interviews transcribed and deductively analyzed in NVivo. Qualitative description was employed to describe study findings as barriers and facilitators to health equity integration. Results Eleven individual interviews and one joint interview (n = 5 participants) were conducted, a total of 16 participants. Half (n = 8) of the participants were High-level Leaders (i.e., manager or higher) within the health system. We found that existing strategies within the health system were inadequate to address inequities, and variation in the use of indicators of health equity was indicative of a lack of health equity integration. Applying the CFIR allowed us to identify barriers to and facilitators of health equity integration, with the power of legislation to implement a Health Equity Framework, alongside the value of partnerships and engagement both being seen as key facilitators to support health equity integration. Barriers to health equity integration included inadequate resources devoted to health equity work, a lack of diversity among senior system leaders and concerns that existing efforts to integrate health equity were siloed. Conclusion Our findings suggest that health equity integration needs to be prioritized within the health service and delivery system within Nova Scotia and identifies possible strategies for implementation. Appropriate measures, resources and partnerships need to be put in place to support health equity integration following the introduction of the Health Equity Framework, which was viewed as a key driver for action. Greater diversity within health system leadership was also identified as an important strategy to support integration. Our findings have implications for other jurisdictions seeking to advance health equity across health service and delivery systems.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.359
GPT teacher head0.389
Teacher spread0.030 · 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 designSystematic review
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

Citations0
Published2024
Admission routes2
Has abstractyes

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