Ethnic Minorities' Experiences of Cardiac Rehabilitation: A Scoping Review.
Aiesha Carew TofaniElaina TaylorIngrid PritchardJessica JacksonAlison XuYasuhiro KoteraPublished in: Healthcare (Basel, Switzerland) (2023)
Cardiac rehabilitation (CR) can improve cardiovascular risk factors, decrease cardiac mortality, and promote healthy lifestyle behaviours. However, services remain underutilized by groups of ethnic minorities. The purpose of the study was to identify patients' personal CR experiences to identify the differences CR makes towards minorities' lifestyle. An initial electronic search was performed in 2021 for papers ranging from 2008-2020 across specific databases, including PubMed , EMBASE , APA PsycINFO , CINAHL ( Cumulative Index to Nursing and Allied Health Literature ), and Medline . Google Scholar was also used to supplement the search process and to identify studies performed within grey literature. A total of 1230 records were screened, of which 40 were assessed for eligibility. The final sample consisted of seven qualitative design studies that were identified for inclusion in this review. Based on patient personal experiences, this review identified that ethnic minorities continue to remain disadvantaged when accessing healthcare interventions, primarily as a result of cultural behaviours, linguistic barriers, socioeconomic status, religious and fatalistic beliefs, and low physician referral rates. More research is needed to elucidate this phenomenon and address these factors faced by ethnic minorities.
Keyphrases
- healthcare
- mental health
- cardiovascular risk factors
- primary care
- systematic review
- metabolic syndrome
- physical activity
- cardiovascular disease
- end stage renal disease
- newly diagnosed
- weight loss
- ejection fraction
- emergency department
- public health
- chronic kidney disease
- left ventricular
- cardiovascular events
- health information
- prognostic factors
- type diabetes
- case control
- risk factors
- peritoneal dialysis
- white matter
- risk assessment
- artificial intelligence
- big data
- atrial fibrillation
- patient reported
- patient reported outcomes
- social media