Your browser doesn't support javascript.
loading
Socioeconomic and behavioral determinants of non-compliance with physician referrals following community screening for diabetes, hypertension and hyperlipidemia: a mixed-methods study.
Yoon, Sungwon; Goh, Hendra; Phang, Jie Kie; Kwan, Yu Heng; Low, Lian Leng.
Afiliación
  • Yoon S; Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore. sungwon.yoon@duke-nus.edu.sg.
  • Goh H; Centre for Population Health Research and Implementation (CPHRI), Singapore Health Services, Singapore, Singapore. sungwon.yoon@duke-nus.edu.sg.
  • Phang JK; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Kwan YH; Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.
  • Low LL; Centre for Population Health Research and Implementation (CPHRI), Singapore Health Services, Singapore, Singapore.
Sci Rep ; 13(1): 20554, 2023 11 23.
Article en En | MEDLINE | ID: mdl-37996479
Early detection of undiagnosed diabetes, hypertension or hyperlipidemia through screening could reduce healthcare costs resulting from disease complications. To date, despite ample research on the factors linked to the uptake of community health screening programs, little attention has been directed at delayed or incomplete follow-up after positive outcomes are identified in community screening tests. This study aimed to investigate the socioeconomic and behavioral factors that influence non-compliance with recommendations for primary care physician referrals, following community-based screening for diabetes, hypertension and hyperlipidemia. A parallel mixed-methods study was conducted. For quantitative data, we performed multivariable analysis on community-based chronic disease screening data. The qualitative component involved semi-structured interviews with individuals with both non-compliance and compliance with referral recommendations. Thematic data analysis was undertaken using the Theoretical Domains Framework (TDF). The quantitative analysis showed that older age (OR = 0.92, 95%CI [0.89-0.96]), non-Chinese ethnicity (OR = 0.24; 95% CI [0.08-0.44]) and residing in 5-room public/ private housing (OR = 0.40; 95% CI [0.14-0.74]) were associated with lower odds of non-compliance with referral recommendations. Thematic analysis identified multiple behavioral-level determinants acting as enablers or barriers within 7 TDF domains: awareness of health risks after receiving screening results, self-management orientation and behavioral control, fear of formal diagnosis and concerns about healthcare cost, optimistic belief driven by the lack of symptoms, interpersonal relationship and social obligations, aversion to medication, communication at the result collection and sense of uncertainty regarding self-scheduling of appointment. Findings provide valuable implications for the development of interventions aimed at improving adherence to referral recommendation. Future endeavors should include culturally sensitive outreach, evidence-based information dissemination, family-centered education, positive public health messaging, brief counseling during result collection and an opt-out appointment system to enhance follow-up care.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos / Diabetes Mellitus / Hiperlipidemias / Hipertensión Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos / Diabetes Mellitus / Hiperlipidemias / Hipertensión Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Reino Unido