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Cultural competence education for health professionals

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

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2014
Typereview
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
FundersAustralian Government
KeywordsPsycINFOCINAHLCultural competenceMEDLINEPsychological interventionMedicineCochrane LibraryHealth careCompetence (human resources)NursingMedical educationFamily medicinePsychologyRandomized controlled trialSocial psychologyPedagogyPolitical science

Abstract

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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.

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)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.232
GPT teacher head0.532
Teacher spread0.300 · 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 designSystematic review
Domainnot available
GenreReview

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".

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Citations430
Published2014
Admission routes1
Has abstractyes

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