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Record W2129422076 · doi:10.5430/jnep.v4n7p85

The path to patient safety in primary health care – A study of nurses’ and general practitioners’ perceptions in Sweden

2014· article· en· W2129422076 on OpenAlexvenueno aff
Mesud Avdagić, Eric Carlström

Bibliographic record

VenueJournal of Nursing Education and Practice · 2014
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsnot available
Fundersnot available
KeywordsReciprocity (cultural anthropology)NursingAutonomyPerceptionQualitative researchHealth carePatient safetyFocus groupMedicinePrimary health careEmpowermentPrimary carePsychologyFamily medicineSocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

National reforms that give patients the autonomy to select physicians or health care units are considered to have an impact on patient safety. There is, however, a lack of research addressing its application to primary health care. Qualitative content analysis was conducted with 14 semi-structured interviews to identify district nurses’ and general practitioners’ perceptions of practices they perceived contribute to patients’ safety. The DNs and GPs emphasized reciprocity, a holistic approach to patients’ varying needs, empowerment, and improving the organization of the health care center as central to patient safety. In contrast to other studies, there was strong consensus among primary healthcare professionals’ perceptions. The findings can be used to put focus on not just a holistic approach of reciprocity, but also on the organization and task oriented techniques in order to further increase the safety for the primary health care patient.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.072
GPT teacher head0.500
Teacher spread0.428 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2014
Admission routes1
Has abstractyes

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