Browsing by Author "Connors C."
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Item Antenatal emotional wellbeing screening in Aboriginal and Torres Strait Islander primary health care services in Australia.(2014-05-13) Gausia K.; Thompson S.; Nagel T.; Rumbold A.; Connors C.; Matthews V.; Boyle J.; Schierhout G.; Bailie R.The aim of this study was to examine the extent to which antenatal emotional wellbeing (EW) assessments are undertaken in primary health care (PHC) centres and factors associated with completion of EW screening. Medical records of 797 pregnant women from 36 PHC centres in five states (NSW, QLD, SA, WA and NT) were audited. Overall, 85% of the women were Aboriginal. The proportion of women with documented screening for EW varied from 5 to 38% between states (mean 17%). Aboriginal women were four times more likely (adjusted Odds Ratio (OR = 4.13, 95% CI = 2.46-6.92) to not be screened for antenatal EW than non-Aboriginal women. Aboriginality, <4 antenatal visits, absence of an antenatal and birth care plan, and lack of counselling on financial support were independently linked with no screening of EW. Provision of training for health service providers and further research on appropriate screening tools for Aboriginal women are needed to help redress this gap.Item Do competing demands of physical illness in type 2 diabetes influence depression screening, documentation and management in primary care: a cross-sectional analytic study in Aboriginal and Torres Strait Islander primary health care settings.(2013-06-26) Schierhout G.; Nagel T.; Si D.; Connors C.; Brown A.; Bailie R.Background: Relatively little is known about how depression amongst people with chronic illness is identified and managed in diverse primary health care settings. We evaluated the role of complex physical needs in influencing current practice of depression screening, documentation and antidepressant prescriptions during a 12-month period, among adults with Type 2 diabetes attending Aboriginal and Torres Strait Islander primary care health centres in Australia. Method(s): We analysed clinical audit data from 44 health centres participating in a continuous quality improvement initiative, using previously reported standard sampling and data extraction protocols. Eligible patients were those with Type 2 diabetes with health centre attendance within the past 12 months. We compared current practice in depression screening, documentation and antidepressant prescription between patients with different disease severity and co-morbidity. We used random effects multiple logistic regression models to adjust for potential confounders and for clustering by health centre. Result(s): Among the 1174 patients with diabetes included, median time since diagnosis was 7 years, 19% of patients had a co-existing diagnosis of Ischaemic Heart Disease and 1/3 had renal disease. Some 70% of patients had HbAc1>7.0%; 65% had cholesterol >4.0 mmol1-1 and 64% had blood pressure>130/80 mmHg. Documentation of screening for depression and of diagnosed depression were low overall (5% and 6% respectively) and lower for patients with renal disease (Adjusted odds ratio [AOR] 0.21; 95% confidence interval [CI] 0.14 to 0.31 and AOR 0.34; 95% CI 0.15 to 0.75), and for those with poorly controlled disease (HbA1c>7.00 (AOR 0.40; 95% CI 0.23 to 0.68 and AOR 0.51; 95% CI 0.30 to 84)). Screening for depression was lower for those on pharmaceutical treatment for glycaemic control compared to those not on such treatment. Antidepressant prescription was not associated with level of diabetes control or disease severity. Conclusion(s): Background levels of depression screening and documentation were low overall and significantly lower for patients with greater disease severity. Strategies to improve depression care for vulnerable populations are urgently required. An important first step in the Australian Indigenous primary care context is to identify and address barriers to the use of current clinical guidelines for depression screening and care. © 2013 Schierhout et al.; licensee BioMed Central Ltd.Item Duration of participation in continuous quality improvement: a key factor explaining improved delivery of type 2 diabetes services.(2016-09-29) Matthews V.; Schierhout G.; McBroom J.; Connors C.; Kennedy C.; Kwedza R.; Larkins S.; Moore E.; Thompson S.; Scrimgeour D.; Bailie R.Background: It is generally recognised that continuous quality improvement (CQI) programs support development of high quality primary health care systems. However, there is limited evidence demonstrating their system-wide effectiveness. We examined variation in quality of Type 2 diabetes service delivery in over 100 Aboriginal and Torres Strait Islander primary health care centres participating in a wide-scale CQI project over the past decade, and determined the influence of health centre and patient level factors on quality of care, with specific attention to health centre duration of participation in a CQI program. Method(s): We analysed over 10,000 clinical audit records to assess quality of Type 2 diabetes care of patients in 132 Aboriginal and Torres Strait Islander community health centres in five states/territories participating in the ABCD project for varying periods between 2005 and 2012. Process indicators of quality of care for each patient were calculated by determining the proportion of recommended guideline scheduled services that were documented as delivered. Multilevel regression models were used to quantify the amount of variation in Type 2 diabetes service delivery attributable to health centre or patient level factors and to identify those factors associated with greater adherence to best practice guidelines. Result(s): Health centre factors that were independently associated with adherence to best practice guidelines included longer participation in the CQI program, remoteness of health centres, and regularity of client attendance. Significantly associated patient level variables included greater age, and number of co-morbidities and disease complications. Health centre factors explained 37% of the differences in level of service delivery between jurisdictions with patient factors explaining only a further 1%. Conclusion(s): At the health centre level, Type 2 diabetes service delivery could be improved through long term commitment to CQI, encouraging regular attendance (for example, through patient reminder systems) and improved recording and coordination of patient care in the complex service provider environments that are characteristic of non-remote areas. Copyright © 2014 Matthews et al.Item Improvement in delivery of type 2 diabetes services differs by mode of care: a retrospective longitudinal analysis in the Aboriginal and Torres Strait Islander primary health care setting.(2016-10-21) Schierhout G.; Matthews V.; Connors C.; Thompson S.; Kwedza R.; Kennedy C.; Bailie R.Background: Addressing evidence-practice gaps in primary care remains a significant public health challenge and is likely to require action at different levels of the health system. Whilst Continuous Quality Improvement (CQI) is associated with improvements in overall delivery, little is known about delivery of different types of care processes, and their relative improvement during CQI. Method(s): We used data from over 15,000 clinical audit records of clients with Type 2 diabetes collected as part of a wide-scale CQI program implemented between 2005 and 2014 in 162 Aboriginal and Torres Strait Islander health centres. We abstracted data from clinical records on 15 service items recommended in clinical guidelines and categorised these items into five modes of care on the basis of the mechanism through which care is delivered: laboratory tests; generalist-delivered physical checks; specialist-delivered checks; education/counselling for nutrition and physical activity and education/counselling for high risk substance use. We calculated delivery for each patient for each of mode of care by determining the proportion of recommended services delivered for that mode. We used multilevel regression models to quantify variation attributable to health centre or client level factors and to identify factors associated with greater adherence to clinical guidelines for each mode of care. Result(s): Clients on average received 43 to 60 % of recommended care in 2005/6. Different modes of care showed different patterns of improvement. Generalist-delivered physical checks (delivered by a non-specialist) showed a steady year on year increase, delivery of laboratory tests showed improvement only in the later years of the study, and delivery of counselling/education interventions showed early improvement which then plateaued. Health centres participating in CQI had increased odds of top quartile service delivery for all modes compared to baseline, but effects differed by mode. Health centre factors explained 20-52 % of the variation across jurisdictions and health centres for different modes of care. Conclusion(s): Levels of adherence to clinical guidelines and patterns of improvement during participation in a CQI program differed for different modes of care. Policy and funding decisions may have had important effects on the level and nature of improvements achieved. Copyright © 2016 The Author(s).