Affiliations 

  • 1 Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, Selayang Campus, Jalan Prima Selayang 7, 68100, Batu Caves, Selangor, Malaysia. drsuraya.abdulrazak@gmail.com
  • 2 Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, Selayang Campus, Jalan Prima Selayang 7, 68100, Batu Caves, Selangor, Malaysia
  • 3 National Clinical Research Centre, Ministry of Health, Kuala Lumpur, Malaysia
BMC Fam Pract, 2018 07 19;19(1):119.
PMID: 30025525 DOI: 10.1186/s12875-018-0807-5

Abstract

BACKGROUND: Majority of patients with chronic illnesses such as diabetes, receive care at primary care setting. Efforts have been made to restructure diabetes care in the Malaysian primary care setting in accordance with the Chronic Care Model (CCM). The Patient Assessment on Chronic Illness Care (PACIC) is a validated self-report tool to measure the extent to which patients with chronic illness receive care that aligns with the CCM. To date, no validated tool is available to evaluate healthcare delivery based on the CCM in the Malay language. Thus, the study aimed to translate the PACIC into the Malay language and validate the questionnaire among patients with diabetes in the Malaysian public primary care setting.

METHODS: The English version of the PACIC questionnaire is a 20-item scale measuring five key components, which are patient activation, decision support, goal setting, problem solving and follow-up care. The PACIC underwent forward - backward translation and cross cultural adaptation process to produce the PACIC-Malay version (PACIC-M). Reliability was tested using internal consistencies and test-retest reliability analyses, while construct validity was tested using the exploratory factor analysis (EFA).

RESULTS: The content of PACIC-M and the original version were conceptually equivalent. Overall, the internal consistency by Cronbach's α was .94 and the intra-class correlation coefficient was .93. One item was deleted (item 1) when the factor loading was

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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