ORCID Profile
0000-0002-5430-5040
Current Organisation
Institute for Clinical Research
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Publisher: BMJ
Date: 05-2021
DOI: 10.1136/BMJOPEN-2020-047126
Abstract: Most countries including Malaysia have set goals to incorporate a strong primary care into the healthcare system. The aim of this study was to evaluate the strength of service delivery process dimensions in Malaysia and compare it with England, the Netherlands, Spain, North Macedonia, Romania and Turkey which participated in the Quality and Costs of Primary Care (QUALICOPC) study. This cross-sectional study utilised the QUALICOPC study data on primary care performance, which was conducted in 2011–2013 (QUALICOPC in Europe Australia, New Zealand and Canada) and 2015–2016 (Malaysia). A standardised questionnaire was completed by primary care practitioners from participating countries. Multilevel regression analysis and composite scores were constructed to compare the performance of primary care on four process dimensions: accessibility, comprehensiveness, continuity of care and coordination. The high-income countries with strong primary care performed better in comprehensiveness, continuity and coordination but poorer in accessibility to services compared with upper-middle-income countries. Among the upper-middle-income countries, Malaysia scored the best in comprehensiveness and coordination. None of the studied countries were having consistent performance over all indicators either in their respective best or worst primary care services delivery dimensions. There is a wide variation in primary care services delivery across and within the studied countries. The findings indicate room for quality improvement activities to strengthen primary healthcare services. This includes addressing current healthcare challenges in response to the population health needs which are essential for more integrated and efficient primary care services delivery.
Publisher: Springer Science and Business Media LLC
Date: 09-09-2022
DOI: 10.1186/S12875-022-01822-8
Abstract: While patients’ preferences in primary care have been examined in numerous conjoint analyses, there has been little systematic effort to synthesise the findings. This review aimed to identify, to organise and to assess the strength of evidence for the attributes and factors associated with preference heterogeneity in conjoint analyses for primary care outpatient visits. We searched five bibliographic databases (PubMed, Embase, PsycINFO, Econlit and Scopus) from inception until 15 December 2021, complemented by hand-searching. We included conjoint analyses for primary care outpatient visits. Two reviewers independently screened papers for inclusion and assessed the quality of all included studies using the checklist by ISPOR Task Force for Conjoint Analysis. We categorized the attributes of primary care based on Primary Care Monitoring System framework and factors based on Andersen’s Behavioural Model of Health Services Use. We then assessed the strength of evidence and direction of preference for the attributes of primary care, and factors affecting preference heterogeneity based on study quality and consistency in findings. Of 35 included studies, most (82.4%) were performed in high-income countries. Each study examined 3–8 attributes, mainly identified through literature reviews ( n = 25). Only six examined visits for chronic conditions, with the rest on acute or non-specific / other conditions. Process attributes were more commonly examined than structure or outcome attributes. The three most commonly examined attributes were waiting time for appointment, out-of-pocket costs and ability to choose the providers they see. We identified 24/58 attributes with strong or moderate evidence of association with primary care uptake (e.g., various waiting times, out-of-pocket costs) and 4/43 factors with strong evidence of affecting preference heterogeneity (e.g., age, gender). We found 35 conjoint analyses examining 58 attributes of primary care and 43 factors that potentially affect the preference of these attributes. The attributes and factors, stratified into evidence levels based on study quality and consistency, can guide the design of research or policies to improve patients’ uptake of primary care. We recommend future conjoint analyses to specify the types of visits and to define their attributes clearly, to facilitate consistent understanding among respondents and the design of interventions targeting them. Word Count: 346/350 words. On Open Science Framework: osf.io/m7ts9
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Su Miin Ong.