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Accepted for/Published in: JMIR Research Protocols

Date Submitted: May 16, 2022
Date Accepted: May 23, 2022

The final, peer-reviewed published version of this preprint can be found here:

Morbidity Patterns in Primary Care in Hong Kong: Protocol for a Practice-Based Morbidity Survey

Chen JY, Chao DVK, Wong SYS, Tse ETY, Wan EYF, Tsang JPY, Leung MKW, Ko WWK, Li Yc, Chen CXR, Luk W, Dao TMC, Wong M, Leung W, Lam CLK

Morbidity Patterns in Primary Care in Hong Kong: Protocol for a Practice-Based Morbidity Survey

JMIR Res Protoc 2022;11(6):e37334

DOI: 10.2196/37334

PMID: 35731566

PMCID: 9260520

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

A prospective, practice-based primary care morbidity survey in Hong Kong: study protocol

  • Julie Yun Chen; 
  • David V. K. Chao; 
  • Samuel Y. S. Wong; 
  • Emily T. Y. Tse; 
  • Eric Y. F. Wan; 
  • Joyce P. Y. Tsang; 
  • Maria K. W. Leung; 
  • Welchie W. K. Ko; 
  • Yim-chu Li; 
  • Catherine X. R. Chen; 
  • Wan Luk; 
  • Thomas M. C. Dao; 
  • Michelle Wong; 
  • Wanmie Leung; 
  • Cindy L. K. Lam

ABSTRACT

Background:

Up to date and accurate information about the health problems encountered by primary care doctors is essential to understanding the morbidity pattern of the community to better inform health care policy and practice. Morbidity surveys of doctors allow documentation of actual consultations reflecting the patient’s reason for seeking care as well as the doctor’s diagnostic interpretation of the illness and management approach. Such surveys are particularly critical in the absence of a centralised primary care electronic medical record database.

Objective:

With the changing socio-demographic profile of the population and implementation of health care initiatives in the past ten years, the aim of this study is to determine the current morbidity and management patterns in Hong Kong primary care compared with the last survey conducted in 2007-08.

Methods:

This will be a prospective, practice-based survey of Hong Kong primary care doctors. Participants will be recruited by convenience and targeted sampling from both public and private sectors. Participating doctors will record the health problems and corresponding management activities for consecutive patient encounters during one designated week in each season of the year. Coding of health problems will follow the International Classification of Primary Care, 2nd edition (ICPC-2). Descriptive statistics will be used to calculate the prevalence of health problems and diseases as well as the rates of management activities (referral, investigation, prescription, preventive care). Non-linear mixed effects models will assess the differences between the private and public sectors as well as factors associated with morbidity and management patterns in primary care.

Results:

The data collection will last from March 1, 2021 to August 31, 2022. As of April 2022, 176 doctor-weeks of data have been collected.

Conclusions:

Result will inform the health of the general community for the planning and allocation of health care resources. Clinical Trial: ClinicalTrials.gov NCT04736992


 Citation

Please cite as:

Chen JY, Chao DVK, Wong SYS, Tse ETY, Wan EYF, Tsang JPY, Leung MKW, Ko WWK, Li Yc, Chen CXR, Luk W, Dao TMC, Wong M, Leung W, Lam CLK

Morbidity Patterns in Primary Care in Hong Kong: Protocol for a Practice-Based Morbidity Survey

JMIR Res Protoc 2022;11(6):e37334

DOI: 10.2196/37334

PMID: 35731566

PMCID: 9260520

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