scholarly journals Leveraging quality improvement through use of the Systems Assessment Tool in Indigenous primary health care services: a mixed methods study

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Frances C. Cunningham ◽  
Sue Ferguson-Hill ◽  
Veronica Matthews ◽  
Ross Bailie
2008 ◽  
Vol 14 (2) ◽  
pp. 53 ◽  
Author(s):  
Ross Bailie ◽  
Beverly Sibthorpe ◽  
Karen Gardner ◽  
Damin Si

This paper addresses the question: "What is the current situation for Aboriginal primary health care services in relation to continuous quality improvement (CQI) in clinical care and what is needed for sustainable practice to be achievable five years from now?" The paper describes a number of recent CQI initiatives that evolved within an accountability framework, the origins of which are based on a top-down government approach to performance measurement. Over the last decade there has been a shift to a more negotiated approach and most recently to an emerging agenda that focuses more on systems to support CQI at the primary care coalface. Further development should aim to capitalise on the synergies between different CQI-related initiatives and effectively align quality improvement with performance measurement. Principles of CQI and key challenges for the future are identified.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Oliveira Miranda ◽  
P Santos Luis ◽  
M Sarmento

Abstract Background Primary health care services are the cornerstone of all health systems. Having clear data on allocated human resources is essential for planning. This work intended to map and compare the primary health care human resources of the five administrative regions (ARS) of the Portuguese public health system, so that better human resources management can be implemented. Methods The chosen design was a descriptive cross sectional study. Each of the five ARS were divided into primary health care clusters, which included several primary health care units. All of these units periodically sign a “commitment letter”, where they stand their service commitments to the covered population. This includes allocated health professionals (doctors, nurses), and the information is publicly accessible at www.bicsp.min-saude.pt. Data was collected for 2017, the year for which more commitment letters were available. Several ratios were calculated: patients/health professional; patients/doctor (family medicine specialists and residents); patients/nurse and patients/family medicine specialist. Mean, standard deviation, minimum and maximum values were calculated. Results National patients/health professional ratio was 702 with the mean of the 5 ARS calculated at 674+-7.15% (min 619, max 734) whilst the national patients/doctor ratio was 1247 with the mean of the 5 ARS calculated at 1217+-7.17% (min 1074, max 1290). National patients/nurse ratio was 1607 with the mean of the 5 ARS calculated at 1529+-13.08% (min 1199, max 1701). Finally, national patients/family medicine specialist ratio was 1711 with the mean of the 5 ARS calculated at 1650+-6,36% (min 1551, max 1795). Conclusions Human resources were differently spread across Portugal, with variations between the five ARS in all ratios. The largest differences occur between nursing staff, and may translate into inequities of access, with impact on health results. A more homogeneous human resources allocation should be implemented. Key messages Human resources in the Portuguese primary health care services are not homogeneously allocated. A better and more homogeneous allocation of human resources should be implemented to reduce access health inequities.


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