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Record W2277062915 · doi:10.1186/s12909-018-1321-0

Examining the impact of accreditation on a primary healthcare organization in Qatar

2018· article· en· W2277062915 on OpenAlexaboutno aff
Alia Ghareeb, Hana Said, Mohamad El Zoghbi

Bibliographic record

VenueBMC Medical Education · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAccreditationHealth careMedical educationPrimary carePrimary health careMedicineNursingPsychologyPolitical scienceFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Although a modest body of literature exists on accreditation, little research was conducted on the impact of accreditation on primary healthcare organizations in the Middle East. This study assessed the changes resulting from the integration of Accreditation Canada International's accreditation program in a primary healthcare organization in the State of Qatar. METHODS: The study investigated how accreditation helped introduce organizational changes through promoting organizational learning as well as quality improvement initiatives. Applying a quantitative design, a structured questionnaire was used to collect data from 500 staff. The study used Spearman's correlation coefficient to analyze the collected survey data. RESULTS: Overall employees agreed on the positive impact of accreditation. The results showed a significantly positive correlation between staff perception of accreditation and of quality of care. The two dominant cultures at Primary Health Care Corporation were "group" (with a score of 28.61) and "hierarchical" (with a score of 26.59). The results showed a positive correlation between staff perception of accreditation and their perception of culture type whenever the culture was identified as "group". CONCLUSIONS: This study provided much-needed insight on the possible changes that organizations might go through in relation to quality improvement and organizational learning.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.196
GPT teacher head0.535
Teacher spread0.339 · 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

Citations39
Published2018
Admission routes1
Has abstractyes

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