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UID:pretalx-2026-WFNE3C@conferences.acspri.org.au
DTSTART;TZID=AEST:20261125T163000
DTEND;TZID=AEST:20261125T164500
DESCRIPTION:Primary health care (PHC) quality is fundamental element toward
 s achieving universal health coverage\, yet measuring it remains challengi
 ng. PHC quality is multidimensional\, reflecting both health system and pa
 tient perspectives\, and influenced by individual and contextual factors. 
 Routinely collected administrative and survey data provide useful insights
 \, however\, they are rarely combined with area-level healthcare data to e
 xamine PHC quality across geographic locations. This is particularly chall
 enging in low- and middle-income countries (LMICs)\, where comprehensive a
 ssessments and monitoring PHC quality are often limited. Using Indonesia
 ’s highly decentralised healthcare system as a case study\, this present
 ation demonstrates the usefulness of combining routinely collected dataset
 s measured at different levels through multilevel analysis to provide a mo
 re comprehensive assessment of PHC quality and to gain potential avenues f
 or improving equitable PHC quality.\n\nWe examined two complementary measu
 res of PHC quality: (1) potentially preventable hospitalisations (PPH)\, r
 epresenting the health system perspective\, and (2) patients’ perception
 s of PHC quality\, representing the beneficiary perspective. Our study use
 d three data sources: 1) the 2023 National Health Insurance administrative
  data\, 2) the 2023 Indonesian Health Survey\, and 3) district/city health
 care characteristics datasets. Multilevel analyses were used to account fo
 r the hierarchical structure of the data\, with individuals nested within 
 districts/cities\, to describe geographic variation in PHC quality and the
  contributions of healthcare services characteristics to both measures. \n
 \nOur study showed substantial geographic variation in PPH across district
 s/cities in Indonesia. Importantly\, our findings suggested that caution i
 s required when interpreting PPH as a measure of PHC quality\, particularl
 y in settings where unequal access to hospital services\, lower estimates 
 may reflect a lack of hospital accessibility rather than better PHC qualit
 y. These findings demonstrated the importance of incorporating contextual 
 healthcare characteristics when interpreting measure of PHC quality. Analy
 sis on the patients’ perceptions of PHC quality using survey data and ar
 ea-level healthcare datasets is currently underway and will complement the
 se findings. \n\nBeyond the Indonesian case study\, this work\, using vari
 ous data sources (administrative and survey data) combined with area-level
  healthcare data using multilevel analysis\, provides a practical approach
  for researchers and policymakers seeking to improve equitable PHC quality
  in decentralised and resource-constrained healthcare system\, where compr
 ehensive quality monitoring system are often lacking.
DTSTAMP:20261013T075956Z
LOCATION:Sutherland Room
SUMMARY:What can routine data reveal about geographic variation in primary 
 health care quality? a multilevel analysis combining individual-level admi
 nistrative and survey data with area-level healthcare data - Dewi Amila So
 likha
URL:https://conferences.acspri.org.au/2026/talk/WFNE3C/
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