Implementing primary care diabetes prevention for women with previous gestational diabetes: a mixed-methods study.

BACKGROUND: The implementation of diabetes prevention for women with previous gestational diabetes (GDM) has been stymied by many barriers that are located within routine general practice (GP). We aimed to unpack the GP factors and understand the mechanisms that explain why a diabetes prevention intervention for this population succeeds or fails. METHODS: We performed a mixed-methods study with a Normalization Process Theory framework that included clinical audits, semistructured interviews, and focus groups within mixed urban and rural primary care practices in Victoria, Australia. Staff of primary care practices and external support staff who provide services to women with previous GDM participated in a 12-month quality improvement collaborative intervention. We compared diabetes screening and prevention activity planning with the strategies and factors identified through a process evaluation of full-, moderate-, and low-active participating practices. RESULTS: The intervention doubled screening rates (26%-61%) and 1-in-10 women received a diabetes prevention planning consultation. Critical improvement factors were: mothers being seen as participants in the quality improvement work; staff collectively building care strategies; staff taking a long-term care of a community perspective rather than episodic service delivery; and feedback processes being provided and acted on across the practice. The observable factors from the external perspective were: leadership by identified practice staff, reminder systems in action and practice staff driving the process collectively. CONCLUSIONS: Successful engagement in diabetes prevention for women with previous GDM requires proactive building of the critical improvement factors and audit feedback into routine GP.

Surveyors' perceptions of the impact of accreditation on patient safety in general practice.

OBJECTIVES: To explore Australian General Practice Accreditation Limited (AGPAL) surveyors' perceptions of the impact of accreditation on patient safety and to elicit suggestions for improving patient safety in Australian general practices. DESIGN, SETTING AND PARTICIPANTS: We conducted semi-structured telephone interviews with a purposive national sample of 10 AGPAL surveyors from 2 July to 14 December 2012. All interviews were audio recorded, transcribed and summarised. RESULTS: All participants agreed that accreditation has improved general practices' performance in quality and safety. Participants noted specific areas that need further attention, including sufficient evidence for clinical risk management, which half the participants estimated occurs in about 5%-10% of Australian general practices. Tangible evidence of patient safety activities included having a significant incidents register, providing documentation of near misses, slips, lapses or mistakes, and engaging in regular clinical meetings to discuss incidents and how to avoid them in the future. Participants agreed that the accreditation process could be improved through the inclusion of tighter clinical safety indicators and the requirement of verifiable evidence of a working clinical risk management system. CONCLUSIONS: Accreditation has had a positive role in improving quality and safety in general practice. The inclusion of tighter indicators that require verifiable evidence will be a step forward. The Australian Primary Care Collaboratives (APCC) Program has an opportunity to build on its previous success in general practice quality improvement to further enhance patient safety in general practice.

Mental health at the COVID-19 frontline: An assessment of distress, fear, and coping among staff and attendees at screening clinics of rural/regional settings of Victoria, Australia.

PURPOSE: Research examining psychological well-being associated with COVID-19 in rural/regional Australia is limited. This study aimed to assess the extent of psychological distress, fear of COVID-19, and coping strategies among the attendees in COVID-19 screening clinics at 2 rural Victorian settings. METHODS: A cross-sectional study was conducted during July 2020 to February 2021 inclusive. Participants were invited to fill in an online questionnaire. Kessler Psychological Distress Scale (K-10), Fear of COVID-19 Scale, and Brief Resilient Coping Scale were used to assess psychological distress, fear of COVID-19, and coping, respectively. FINDINGS: Among 702 total participants, 69% were females and mean age (±SD) was 49 (±15.8) years. One in 5 participants (156, 22%) experienced high to very high psychological distress, 1 in 10 (72, 10%) experienced high fear, and more than half (397, 57%) had medium to high resilient coping. Participants with mental health issues had higher distress (AOR 10.4, 95% CI: 6.25-17.2) and fear (2.56, 1.41-4.66). Higher distress was also associated with having comorbidities, increased smoking (5.71, 1.04-31.4), and alcohol drinking (2.03, 1.21-3.40). Higher fear was associated with negative financial impact, drinking alcohol (2.15, 1.06-4.37), and increased alcohol drinking. Medium to high resilient coping was associated with being ≥60 years old (1.84, 1.04-3.24) and completing Bachelor and above levels of education. CONCLUSION: People who had pre-existing mental health issues, comorbidities, smoked, and consumed alcohol were identified as high-risk groups for poorer psychological well-being in rural/regional Victoria. Specific interventions to support the mental well-being of these vulnerable populations, along with engaging health care providers, should be considered.

Improving the quality of diabetes care in general practice.

OBJECTIVE: The evidence treatment gap for patients with type 2 diabetes. DESIGN: A summary of convenience sample of seven general practices. SETTING: Metropolitan and rural Victoria, Australia. PARTICIPANTS: 561 patients of general practices (75% from rural general practices). MAIN OUTCOME MEASURES: Demographic data, duration of diabetes, diabetes complications, HbA1c and lipid levels, blood pressure and score on PHQ-9. RESULTS: Patients with depression show more severe, progressive and intensively treated diabetes. The prevalence of depression in diabetes is about twice that of the general population. CONCLUSION: Australian guidelines for diabetes should recommend screening for depression.

What attributions do Australian high-performing general practices make for their success? Applying the clinical microsystems framework: a qualitative study.

OBJECTIVES: To identify the success attributions of high-performing Australian general practices and the enablers and barriers they envisage for practices wishing to emulate them. DESIGN: Qualitative study using semi-structured interviews and content analysis of the data. Responses were recorded, transcribed verbatim and coded according to success characteristics of high-performing clinical microsystems. SETTING: Primary healthcare with the participating general practices representing all Australian states and territories, and representing metropolitan and rural locations. PARTICIPANTS: Twenty-two general practices identified as high performing via a number of success criteria. The 52 participants were 19 general practitioners, 18 practice managers and 15 practice nurses. RESULTS: Participants most frequently attributed success to the interdependence of the team members, patient-focused care and leadership of the practice. They most often signalled practice leadership, team interdependence and staff focus as enablers that other organisations would need to emulate their success. They most frequently identified barriers that might be encountered in the form of potential deficits or limitations in practice leadership, staff focus and mesosystem support. CONCLUSIONS: Practice leaders need to empower their teams to take action through providing inclusive leadership that facilitates team interdependence. Mesosystem support for quality improvement in general practice should focus on enabling this leadership and team building, thereby ensuring improvement efforts are converted into effective healthcare provision.

Systems change in Australian general practice--early impact of the National Primary Care Collaboratives.

BACKGROUND: The capacity to translate research findings into clinical practice is a core skill for general practice registrars if we are to bridge the gap between evidence and practice, thus improving quality of care. OBJECTIVE: The National Primary Care Collaboratives approach is described as a way of improving health outcomes through systems change, more closely linking local practice with structures which have been proved to be effective elsewhere. The opportunity for general practice registrars to learn from and be involved in this approach is discussed. DISCUSSION: Competencies in systems based approaches and practice based learning are part of modern practice and should be embedded within the revised Royal Australian College of General Practitioners (the RACGP) curriculum. The National Primary Care Collaboratives Program is well placed to assist in the acquisition of these competencies.

General practices' perspectives on Medicare Locals' performance are critical lessons for the success of Primary Health Networks.

BACKGROUND: Under a health reform after two decades, Primary Health Organisations (PHOs) in Australia were changed from Divisions of General Practice (DGP) to Medicare Locals (MLs). Following a review of Medicare Locals, in July 2015 Primary Health Networks (PHNs) replaced Medical Locals to potentially improve outcomes through supporting primary care and enhancing integration. AIMS: The aim of this paper was to gather front-line staff's perspectives on MLs and identify any lessons applicable to PHNs. METHODS: A national purposive sample of 22 high-performing general practices representing all Australian states and territories was selected for semi-structured, face-to-face interviews, and a thematic analysis conducted. RESULTS: Fifty-three interviews were conducted: participants comprised 19 general practitioners (GPs), 18 practice managers (PMs), 15 practices nurses (PNs), and one community pharmacist. Most participants reflected on the difference between the DGP and MLs. Themes that emerged included ambiguity, community needs, professional development and education, communication and support, duplication in services and ignoring existing ones, recruitment and retention, and engagement and involvement. CONCLUSION: Those MLs that did well continued in an expanded way the work DGP were doing beforehand and made a seamless transition. PHNs will need to build on the strengths of previous PHOs, and create locality structures and processes that maximise the potential for clinical engagement. They will actively guide the dialogue between related microsystems: to achieve this they will have to be clinically led, change management organisations.

The Australian Primary Care Collaboratives Program: improving diabetes care.

PROBLEM: Diabetes is a major, growing health problem often managed in primary care but with suboptimal control of risk factors. DESIGN: A large-scale quality improvement collaborative implemented in seven waves. SETTING: General practices and Aboriginal medical services across Australia. KEY MEASURES FOR IMPROVEMENT: Percentage of patients in each health service with haemoglobin A1C (HbA1C), total cholesterol and blood pressure at target. STRATEGY FOR CHANGE: Health services attended three 2-day workshops, separated by 3-month activity periods and followed by 12 months of further improvement work. Local collaborative program managers supported teams to report measures and plan/do/study/act (PDSA) cycles monthly. Health services received feedback about changes in their measures in comparison with their wave. EFFECTS OF CHANGE: 743 health services participated in seven waves between 2004 and 2009 serving approximately 150,000 people with diabetes. Mean numbers of patients at target HbA1c levels improved by 50% from 25% at baseline to 38% at month 18. Lipid and blood pressure measures showed similar improvement. LESSONS LEARNT: Engagement in the Program and results demonstrated that the collaborative methodology is transferable to Australian primary care. The results may reflect improved data recording and disease coding, and changes in clinical care. Internal evaluation should be built into improvement projects from the start to facilitate improvements and reporting. Enthusing, training and resourcing practice teams appeared to be the key to rapid change. Local support of practice teams was instrumental in improvement. Early investment to facilitate automatic measure collection ensured good data reporting.

Improving primary care in Australia through the Australian Primary Care Collaboratives Program: a quality improvement report.

PROBLEM: Effective and affordable health systems have good primary care. Access, equity, care of chronic conditions and quality are key priorities in primary care in Australia. DESIGN: A large-scale quality improvement collaborative addressing diabetes, coronary heart disease (CHD), access, chronic obstructive pulmonary disease (COPD), patient self-management, Aboriginal health and diabetes prevention. SETTING: General practices and Aboriginal medical services across Australia. KEY MEASURES FOR IMPROVEMENT: Sample measures are reported. STRATEGY FOR CHANGE: The Improvement Foundation (Australia) adapted collaborative strategies used in the UK. Health service teams attended three workshops, separated by activity periods and followed by 12 months of further work. Teams were supported by local collaborative program managers to make changes and report measures. Services received feedback about improvement compared with their wave. EFFECTS OF CHANGE: 1185 health services participated in 13 waves between 2005 and 2011. 83% of Australian divisions of general practice participated, and 262 support staff received quality improvement training. Key measures show improvement in all topics except access. 397,111 patients were on the disease registers of participating health services. LESSONS LEARNT: The collaborative methodology is transferable to primary care in Australia. Results may reflect improved data recording and disease coding, as well as changes in clinical care. Team dynamics and local support are important success factors. Collaboratives are a useful tool in a program of clinical quality improvement. The APCC will work with the new primary healthcare organisations which are part of health reforms in Australia to improve data reporting, improve diabetes care and entrench quality improvement in the emerging environment.

Identification of depression in diabetes: the efficacy of PHQ-9 and HADS-D.

BACKGROUND: Clinical guidelines advise screening for depression in patients with diabetes. The Patient Health Questionnaire (PHQ-9) and the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) are commonly used in primary care. AIM: To compare the efficacy of HADS-D and PHQ-9 in identifying moderate to severe depression among primary care patients with type 2 diabetes. DESIGN OF STUDY: Self-report postal survey, clinical records assessed by GPs. SETTING: Seven metropolitan and rural general practices in Victoria, Australia. METHOD: Postal questionnaires were sent to all patients with diabetes on the registers of seven practices in Victoria. A total of 561 completed postal questionnaires were returned, giving a response rate 47%. Surveys included demographic information, and history of diabetes and depression. Participants completed both the PHQ-9 and HADS-D. Clinical data from patient records included glycosylated hemoglobin (HbA1c) levels and medications. RESULTS: The proportion of the total sample completing HADS-D was 96.8% compared with 82.4% for PHQ-9. Level of education was unrelated to responses on the HADS-D but was related to completion of the PHQ-9. Using complete data (n = 456) from both measures, 40 responders showed HADS-D scores in the moderate to severe range, compared with 103 cases identified by PHQ-9. Only 35 cases were classified in the moderate to severe category by both the PHQ-9 and HADS-D. Items with the highest proportions of positive responses on the PHQ-9 were related to tiredness and sleeping problems and, on the HADS-D, feeling slowed down. CONCLUSION: It may be that the items contributing to the higher prevalence of moderate to severe depression using the PHQ-9 are due to diabetes-related symptoms or sleep disorders.