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Enregistrement W1579226918 · doi:10.1002/14651858.cd009405.pub2

Cultural competence education for health professionals

2014· review· en· W1579226918 sur OpenAlexaboutno aff
Lidia Horvat, Dell Horey, Panayiota Romios, John Kis‐Rigo

Notice bibliographique

RevueCochrane Database of Systematic Reviews · 2014
Typereview
Langueen
DomaineSocial Sciences
ThématiqueCultural Competency in Health Care
Établissements canadiensnon disponible
Organismes subventionnairesAustralian Government
Mots-clésPsycINFOCINAHLCultural competenceMEDLINEPsychological interventionMedicineCochrane LibraryHealth careCompetence (human resources)NursingMedical educationFamily medicinePsychologyRandomized controlled trialSocial psychologyPedagogyPolitical science

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Cultural competence education for health professionals aims to ensure all people receive equitable, effective health care, particularly those from culturally and linguistically diverse (CALD) backgrounds. It has emerged as a strategy in high-income English-speaking countries in response to evidence of health disparities, structural inequalities, and poorer quality health care and outcomes among people from minority CALD backgrounds. However there is a paucity of evidence to link cultural competence education with patient, professional and organisational outcomes. To assess efficacy, for this review we developed a four-dimensional conceptual framework comprising educational content, pedagogical approach, structure of the intervention, and participant characteristics to provide consistency in describing and assessing interventions. We use the term 'CALD participants' when referring to minority CALD populations as a whole. When referring to participants in included studies we describe them in terms used by study authors. OBJECTIVES: To assess the effects of cultural competence education interventions for health professionals on patient-related outcomes, health professional outcomes, and healthcare organisation outcomes. SEARCH METHODS: We searched: MEDLINE (OvidSP) (1946 to June 2012); Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library) (June 2012); EMBASE (OvidSP) (1988 to June 2012); CINAHL (EbscoHOST) (1981 to June 2012); PsycINFO (OvidSP) (1806 to June 2012); Proquest Dissertations and Theses database (1861 to October 2011); ERIC (CSA) (1966 to October 2011); LILACS (1982 to March 2012); and Current Contents (OvidSP) (1993 Week 27 to June 2012).Searches in MEDLINE, CENTRAL, PsycINFO, EMBASE, Proquest Dissertations and Theses, ERIC and Current Contents were updated in February 2014. Searches in CINAHL were updated in March 2014.There were no language restrictions. SELECTION CRITERIA: We included randomised controlled trials (RCTs), cluster RCTs, and controlled clinical trials of educational interventions for health professionals working in health settings that aimed to improve: health outcomes of patients/consumers of minority cultural and linguistic backgrounds; knowledge, skills and attitudes of health professionals in delivering culturally competent care; and healthcare organisation performance in culturally competent care. DATA COLLECTION AND ANALYSIS: We used the conceptual framework as the basis for data extraction. Two review authors independently extracted data on interventions, methods, and outcome measures and mapped them against the framework. Additional information was sought from study authors. We present results in narrative and tabular form. MAIN RESULTS: We included five RCTs involving 337 healthcare professionals and 8400 patients; at least 3463 (41%) were from CALD backgrounds. Trials compared the effects of cultural competence training for health professionals, with no training. Three studies were from the USA, one from Canada and one from The Netherlands. They involved health professionals of diverse backgrounds, although most were not from CALD minorities. Cultural background was determined using a validated scale (one study), self-report (two studies) or not reported (two studies). The design effect from clustering meant an effective minimum sample size of 3164 CALD participants. No meta-analyses were performed. The quality of evidence for each outcome was judged to be low.Two trials comparing cultural competence training with no training found no evidence of effect for treatment outcomes, including the proportion of patients with diabetes achieving LDL cholesterol control targets (risk difference (RD) -0.02, 95% CI -0.06 to 0.02; 1 study, USA, 2699 "black" patients, moderate quality), or change in weight loss (standardised mean difference (SMD) 0.07, 95% CI -0.41 to 0.55, 1 study, USA, effective sample size (ESS) 68 patients, low quality).Health behaviour (client concordance with attendance) improved significantly among intervention participants compared with controls (relative risk (RR) 1.53, 95% CI 1.03 to 2.27, 1 study, USA, ESS 28 women, low quality). Involvement in care by "non-Western" patients (described as "mainly Turkish, Moroccan, Cape Verdean and Surinamese patients") with largely "Western" doctors improved in terms of mutual understanding (SMD 0.21, 95% CI 0.00 to 0.42, 1 study, The Netherlands, 109 patients, low quality). Evaluations of care were mixed (three studies). Two studies found no evidence of effect in: proportion of patients reporting satisfaction with consultations (RD 0.14, 95% CI -0.03 to 0.31, 1 study, The Netherlands, 109 patients, low quality); patient scores of physician cultural competency (SMD 0.11 95% CI -0.63 to 0.85, 1 study, USA, ESS 68 "Caucasian" and "non-Causcasian" patients (described as Latino, African American, Asian and other, low quality). Client perceptions of health professionals were significantly higher in the intervention group (SMD 1.60 95% CI 1.05 to 2.15, 1 study, USA, ESS 28 "Black" women, low quality).No study assessed adverse outcomes.There was no evidence of effect on clinician awareness of "racial" differences in quality of care among clients at a USA health centre (RR 1.37, 95% CI 0.97 to 1.94. P = 0.07) with no adjustment for clustering. Included studies did not measure other outcomes of interest. Sensitivity analyses using different values for the Intra-cluster coefficient (ICC) did not substantially alter the magnitude or significance of summary effect sizes.All four domains of the conceptual framework were addressed, suggesting agreement on core components of cultural competence education interventions may be possible. AUTHORS' CONCLUSIONS: Cultural competence continues to be developed as a major strategy to address health inequities. Five studies assessed the effects of cultural competence education for health professionals on patient-related outcomes. There was positive, albeit low-quality evidence, showing improvements in the involvement of CALD patients. Findings either showed support for the educational interventions or no evidence of effect. No studies assessed adverse outcomes. The quality of evidence is insufficient to draw generalisable conclusions, largely due to heterogeneity of the interventions in content, scope, design, duration, implementation and outcomes selected.Further research is required to establish greater methodological rigour and uniformity on core components of education interventions, including how they are described and evaluated. Our conceptual framework provides a basis for establishing consensus to improve reporting and allow assessment across studies and populations. Future studies should measure the patient outcomes used: treatment outcomes; health behaviours; involvement in care and evaluations of care. Studies should also measure the impact of these types of interventions on healthcare organisations, as these are likely to affect uptake and sustainability.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,036
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,047

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,036
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,002
Communication savante0,0020,003
Science ouverte0,0010,005
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0140,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,232
Tête enseignante GPT0,532
Écart entre enseignants0,300 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations430
Publié2014
Routes d'admission1
Résumé présentoui

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