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Record W2948748072 · doi:10.5430/jha.v8n4p24

Exploring accreditation from the front lines: A qualitative study of staff experiences & perceptions of hospital accreditation

2019· article· en· W2948748072 on OpenAlexvenueaboutno aff
Katie N. Dainty, Douglas Sinclair, Cathy O'Neill, Sherra Solway, Bianca Seaton

Bibliographic record

VenueJournal of Hospital Administration · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAccreditationQualitative researchMedical educationHealth careNursingHospital accreditationMedicineWork (physics)PerceptionFamily medicinePsychologyPolitical scienceSociologyEngineering

Abstract

fetched live from OpenAlex

Objective: Relative to the global investment in hospital accreditation programs overall, both the total amount and methodological quality of existing accreditation research is mediocre. To address this apparent gap in knowledge, we undertook a study of the experiences and perspectives of hospital staff, those most underrepresented in the accreditation research literature, including those working on the front lines and non-leaders who may or may not have been directly involved in the preparation for the accreditation survey visit.Methods: Design: Qualitative descriptive interview study. Setting: Tertiary care teaching hospital in Toronto, Ontario Canada. Study Participants: Program directors, unit managers, physicians, nurses, health discipline professionals (HDP), and non-clinical staff.Results: We have grouped what we heard from the data into three major groups of findings which we have titled: a) perceptions of the purpose of accreditation; b) the “work” of accreditation; and c) dissemination gaps regarding results. Informative finding from this study include the fact that participants put surprising value on the accreditation process, although mistaken feel it is mandatory; that the “work” of accreditation can be disappointing and feels disconnected from the bigger QI picture, and that the disconnect also exists in terms of their knowledge of and belief in the actual results of the process.Conclusions: These findings point to potential gaps in the accreditation culture which can be detrimental to the impact of the accreditation process. Such gaps likely exist in other health care organizations and could inform similar evaluations in other settings.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.192
GPT teacher head0.473
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2019
Admission routes2
Has abstractyes

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