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Validity and reliability of the patient assessment on chronic illness care (PACIC) questionnaire: the Malay version

Overview of attention for article published in BMC Primary Care, July 2018
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Validity and reliability of the patient assessment on chronic illness care (PACIC) questionnaire: the Malay version
Published in
BMC Primary Care, July 2018
DOI 10.1186/s12875-018-0807-5
Pubmed ID
Authors

Suraya Abdul-Razak, Anis Safura Ramli, Siti Fatimah Badlishah-Sham, Jamaiyah Haniff, for the EMPOWER-PAR Investigators

Abstract

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. 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). 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 < 0.4. The factor analyses using promax identified three components ('Goal Setting/Tailoring and Problem solving/Contextual', 'follow-up/coordination' and 'patient activation and delivery system design/ decision support'); explaining 61.2% of the variation. The Kaiser-Meyer-Olkin (KMO) was 0.93 and Bartlett's test of sphericity was p = .000. Therefore, the final version of the PACIC-M consisted of 19 items, framed within three components. The findings demonstrated that the PACIC-M measured different dimensions from the English version of PACIC. It is however; highly reliable and valid to be used in assessing three CCM model subscales. Further confirmatory factor analysis of PACIC-M should be conducted to confirm this new model.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 26 27%
Student > Ph. D. Student 10 10%
Student > Master 9 9%
Student > Bachelor 9 9%
Professor 3 3%
Other 15 15%
Unknown 25 26%
Readers by discipline Count As %
Unspecified 26 27%
Medicine and Dentistry 18 19%
Nursing and Health Professions 10 10%
Social Sciences 4 4%
Business, Management and Accounting 3 3%
Other 11 11%
Unknown 25 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 March 2021.
All research outputs
#8,266,724
of 25,385,509 outputs
Outputs from BMC Primary Care
#1,092
of 2,359 outputs
Outputs of similar age
#131,188
of 340,393 outputs
Outputs of similar age from BMC Primary Care
#26
of 68 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.