TY - JOUR
T1 - End-of-life care in general practice
T2 - Clinic-based data collection
AU - Ding, Jinfeng
AU - Cook, Angus
AU - Chua, David
AU - Licqurish, Sharon
AU - Woolford, Marta
AU - Deckx, Laura
AU - Mitchell, Geoffrey
AU - Johnson, Claire E.
PY - 2022/5/1
Y1 - 2022/5/1
N2 - Background: There are no processes that routinely assess end-of-life care in Australian general practice. This study aimed to develop a data collection process which could collect observational data on end-of-life care from Australian general practitioners (GPs) via a questionnaire and clinical data from general practice software. Methods: The data collection process was developed based on a modified Delphi study, then pilot tested with GPs through online surveys across three Australian states and data extraction from general practice software, and finally evaluated through participant interviews. Results: The developed data collection process consisted of three questionnaires: Basic Practice Descriptors (32 items), Clinical Data Query (32 items) and GP-completed Questionnaire (21 items). Data extraction from general practice software was performed for 97 decedents of 10 GPs and gathered data on prescriptions, investigations and referral patterns. Reports on care of 272 decedents were provided by 63 GPs. The GP-completed Questionnaire achieved a satisfactory level of validity and reliability. Our interviews with 23 participating GPs demonstrated the feasibility and acceptability of this data collection process in Australian general practice. Conclusions: The data collection process developed and tested in this study is feasible and acceptable for Australian GPs, and comprehensively covers the major components of end-of-life care. Future studies could develop an automated data extraction tool to reduce the time and recall burden for GPs. These findings will help build a nationwide integrated information network for primary end-of-life care in Australia.
AB - Background: There are no processes that routinely assess end-of-life care in Australian general practice. This study aimed to develop a data collection process which could collect observational data on end-of-life care from Australian general practitioners (GPs) via a questionnaire and clinical data from general practice software. Methods: The data collection process was developed based on a modified Delphi study, then pilot tested with GPs through online surveys across three Australian states and data extraction from general practice software, and finally evaluated through participant interviews. Results: The developed data collection process consisted of three questionnaires: Basic Practice Descriptors (32 items), Clinical Data Query (32 items) and GP-completed Questionnaire (21 items). Data extraction from general practice software was performed for 97 decedents of 10 GPs and gathered data on prescriptions, investigations and referral patterns. Reports on care of 272 decedents were provided by 63 GPs. The GP-completed Questionnaire achieved a satisfactory level of validity and reliability. Our interviews with 23 participating GPs demonstrated the feasibility and acceptability of this data collection process in Australian general practice. Conclusions: The data collection process developed and tested in this study is feasible and acceptable for Australian GPs, and comprehensively covers the major components of end-of-life care. Future studies could develop an automated data extraction tool to reduce the time and recall burden for GPs. These findings will help build a nationwide integrated information network for primary end-of-life care in Australia.
KW - data collection process
KW - end-of-life care
KW - feasibility and acceptability
KW - general practice
UR - http://www.scopus.com/inward/record.url?scp=85081318192&partnerID=8YFLogxK
U2 - 10.1136/bmjspcare-2019-002006
DO - 10.1136/bmjspcare-2019-002006
M3 - Article
C2 - 32066562
AN - SCOPUS:85081318192
SN - 2045-435X
VL - 12
SP - E155-E163
JO - BMJ Supportive and Palliative Care
JF - BMJ Supportive and Palliative Care
IS - e1
M1 - 002006
ER -