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Record W2116335036 · doi:10.1093/intqhc/mzs064

Comparison of health service accreditation programs in low- and middle-income countries with those in higher income countries: a cross-sectional study

2012· article· en· W2116335036 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal for Quality in Health Care · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsCARE Canada
Fundersnot available
KeywordsAccreditationHealth careAgency (philosophy)CertificationBusinessSustainabilityPublic relationsMedicineMedical educationEconomic growthPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: The study aim was twofold: to investigate and describe the organizational attributes of accreditation programmes in low- and middle-income countries (LMICs) to determine how or to what extent these differ from those in higher-income countries (HICs) and to identify contextual factors that sustain or are barriers to their survival. DESIGN: Web-based questionnaire survey. PARTICIPANTS: National healthcare accreditation providers and those offering international services. In total, 44 accreditation agencies completed the survey. MAIN OUTCOME MEASURE(S): Income distinctions, accreditation programme features, organizational attributes and cross-national divergence. RESULTS: Accreditation programmes of LMICs exhibit similar characteristics to those of HICs. The consistent model of accreditation worldwide, centres on promoting improvements, applying standards and providing feedback. Where they do differ, the divergence is over specialized features rather than the general logic. LMICs were less likely than HICs to include an evaluation component to programmes, more likely to have certification processes for trainee surveyors and more likely to make decisions on the accreditation status based on a formulaic, mathematically oriented approach. Accreditation programme sustainability, irrespective of country characteristics, is influenced by ongoing policy support from government, a sufficient large healthcare market size, stable programme funding, diverse incentives to encourage participation in accreditation by Health Care Organizations as well as the continual refinement and improvement in accreditation agency operations and programme delivery. CONCLUSIONS: Understanding the similarities, differences and factors that sustain accreditation programmes in LMICs, and HICs, can be applied to benefit programmes around the world. A flourishing accreditation programme is one element of the institutional basis for high-quality health care.

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.

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)0.015
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.331
GPT teacher head0.580
Teacher spread0.249 · 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