TY - JOUR
T1 - Responses of aboriginal and Torres Strait Islander primary health-care services to continuous quality improvement initiatives
AU - Larkins, Sarah
AU - Woods, Cindy E.
AU - Matthews, Veronica
AU - Thompson, Sandra C.
AU - Schierhout, Gill
AU - Mitropoulos, Maxwell
AU - Patrao, Tania
AU - Panzera, Annette
AU - Bailie, Ross Stewart
N1 - Funding Information:
This project would not be possible without the active support, enthusiasm, and commitment of participating health services and the contribution made by the ABCD National Research Partnership Project team (2010-2014).The ABCD National Research Partnership Project was supported by funding from the Australian National Health and Medical Research Council (ID No. 545267) and the Lowitja Institute, and by in-kind and financial support from a range of Community Controlled and Government agencies. RB's work is supported by an Australian Research Council (ARC) Future Fellowship (FT100100087). The Centre for Research Excellence in Integrated Quality Improvement is funded by the Australian National Health and Medical Research Council (ID No. 1078927). This project was funded by the Australian National Health and Medical Research Council (ID No. 1062377)
Publisher Copyright:
© 2016 Larkins, Woods, Matthews, Thompson, Schierhout, Mitropoulos, Patrao, Panzera and Bailie.
PY - 2016/1
Y1 - 2016/1
N2 - Background: Indigenous primary health-care (PHC) services participating in continuous quality improvement (CQI) cycles show varying patterns of performance over time. Understanding this variation is essential to scaling up and sustaining quality improvement initiatives. The aim of this study is to examine trends in quality of care for services participating in the ABCD National Research Partnership and describe patterns of change over time and examine health service characteristics associated with positive and negative trends in quality of care. setting and participants: PHC services providing care for Indigenous people in urban, rural, and remote northern Australia that had completed at least three annual audits of service delivery for at least one aspect of care (n = 73). Methods/design: Longitudinal clinical audit data from use of four clinical audit tools (maternal health, child health, preventive health, Type 2 diabetes) between 2005 and 2013 were analyzed. Health center performance was classified into six patterns of change over time: consistent high improvement (positive), sustained high performance (positive), decline (negative), marked variability (negative), consistent low performance (negative), and no specific increase or decrease (neutral). Backwards stepwise multiple logistic regression analyses were used to examine the associations between health service characteristics and positive or negative trends in quality of care. results: Trends in quality of care varied widely between health services across the four audit tools. Regression analyses of health service characteristics revealed no consistent statistically significant associations of population size, remoteness, governance model, or accreditation status with positive or negative trends in quality of care. conclusion: The variable trends in quality of care as reflected by CQI audit tools do not appear to be related to easily measurable health service characteristics. This points to the need for a deeper or more nuanced understanding of factors that moderate the effect of CQI on health service performance for the purpose of strengthening enablers and overcoming barriers to improvement.
AB - Background: Indigenous primary health-care (PHC) services participating in continuous quality improvement (CQI) cycles show varying patterns of performance over time. Understanding this variation is essential to scaling up and sustaining quality improvement initiatives. The aim of this study is to examine trends in quality of care for services participating in the ABCD National Research Partnership and describe patterns of change over time and examine health service characteristics associated with positive and negative trends in quality of care. setting and participants: PHC services providing care for Indigenous people in urban, rural, and remote northern Australia that had completed at least three annual audits of service delivery for at least one aspect of care (n = 73). Methods/design: Longitudinal clinical audit data from use of four clinical audit tools (maternal health, child health, preventive health, Type 2 diabetes) between 2005 and 2013 were analyzed. Health center performance was classified into six patterns of change over time: consistent high improvement (positive), sustained high performance (positive), decline (negative), marked variability (negative), consistent low performance (negative), and no specific increase or decrease (neutral). Backwards stepwise multiple logistic regression analyses were used to examine the associations between health service characteristics and positive or negative trends in quality of care. results: Trends in quality of care varied widely between health services across the four audit tools. Regression analyses of health service characteristics revealed no consistent statistically significant associations of population size, remoteness, governance model, or accreditation status with positive or negative trends in quality of care. conclusion: The variable trends in quality of care as reflected by CQI audit tools do not appear to be related to easily measurable health service characteristics. This points to the need for a deeper or more nuanced understanding of factors that moderate the effect of CQI on health service performance for the purpose of strengthening enablers and overcoming barriers to improvement.
KW - Aboriginal
KW - Australia
KW - Best practice
KW - Indigenous health services
KW - Primary health care
KW - Quality improvement
KW - Quality of care
KW - Torres Strait Islander
UR - http://www.scopus.com/inward/record.url?scp=85013198310&partnerID=8YFLogxK
U2 - 10.3389/fpubh.2015.00288
DO - 10.3389/fpubh.2015.00288
M3 - Review article
AN - SCOPUS:85013198310
SN - 2296-2565
VL - 3
SP - 1
EP - 9
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 288
ER -