Application of the Australian Bureau of Statistics Socio-Economic Indexes for Areas in cardiovascular disease research: a scoping review identifying implications for research.

Objective To scope how the Australian Bureau of Statistics Socio-Economic Indexes for Areas (SEIFA) has been applied to measure socio-economic status (SES) in peer-reviewed cardiovascular disease (CVD) research. Methods The Joanna Briggs Institute's scoping review methodology was used. Results The search retrieved 2788 unique citations, and 49 studies were included. Studies were heterogeneous in their approach to analysis using SEIFA. Not all studies provided information as to what version was used and how SEIFA was applied in analysis. Spatial unit of analysis varied between studies, with participant postcode most frequently applied. Study quality varied. Conclusions The use of SEIFA in Australian CVD peer-reviewed research is widespread, with variations in the application of SEIFA to measure SES as an exposure. There is a need to improve the reporting of how SEIFA is applied in the methods sections of research papers for greater transparency and to ensure accurate interpretation of CVD research.

Health economics in nursing research: what you need to know to include economic evaluation methodology in your research.

Due to limited resources and constant, ever-changing healthcare challenges, health economics is essential to support healthcare decisions while improving health outcomes. Economic evaluation methodology facilitates informed decision-making related to the efficient allocation of resources while positively impacting clinical practice. In this paper, we provide an overview of economic evaluation methods and a real-world example applying one method of economic evaluation (cost-utility analysis) in nursing research.

Low-Intensity mental health Support via a Telehealth Enabled Network for adults with diabetes (LISTEN): protocol for a hybrid type 1 effectiveness implementation trial.

BACKGROUND: Mental health problems are common among people with diabetes. However, evidence-based strategies for the prevention and early intervention of emotional problems in people with diabetes are lacking. Our aim is to assess the real-world effectiveness, cost-effectiveness, and implementation of a Low-Intensity mental health Support via a Telehealth Enabled Network (LISTEN), facilitated by diabetes health professionals (HPs). METHODS: A hybrid type I effectiveness-implementation trial, including a two-arm parallel randomised controlled trial, alongside mixed methods process evaluation. Recruited primarily via the National Diabetes Services Scheme, Australian adults with diabetes (N = 454) will be eligible if they are experiencing elevated diabetes distress. Participants are randomised (1:1 ratio) to LISTEN-a brief, low-intensity mental health support program based on a problem-solving therapy framework and delivered via telehealth (intervention) or usual care (web-based resources about diabetes and emotional health). Data are collected via online assessments at baseline (T0), 8 weeks (T1) and 6 months (T2, primary endpoint) follow-up. The primary outcome is between-group differences in diabetes distress at T2. Secondary outcomes include the immediate (T1) and longer-term (T2) effect of the intervention on psychological distress, general emotional well-being, and coping self-efficacy. A within-trial economic evaluation will be conducted. Implementation outcomes will be assessed using mixed methods, according to the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Data collection will include qualitative interviews and field notes. DISCUSSION: It is anticipated that LISTEN will reduce diabetes distress among adults with diabetes. The pragmatic trial results will determine whether LISTEN is effective, cost-effective, and should be implemented at scale. Qualitative findings will be used to refine the intervention and implementation strategies as required. TRIAL REGISTRATION: This trial has been registered with the Australian New Zealand Clinical Trials Registry (ACTRN: ACTRN12622000168752) on 1 February, 2022.

The application of spatial measures to analyse health service accessibility in Australia: a systematic review and recommendations for future practice.

BACKGROUND: Australia's inequitable distribution of health services is well documented. Spatial access relates to the geographic limitations affecting the availability and accessibility of healthcare practitioners and services. Issues associated with spatial access are often influenced by Australia's vast landmass, challenging environments, uneven population concentration, and sparsely distributed populations in rural and remote areas. Measuring access contributes to a broader understanding of the performance of health systems, particularly in rural/remote areas. This systematic review synthesises the evidence identifying what spatial measures and geographic classifications are used and how they are applied in the Australian peer-reviewed literature. METHODS: A systematic search of peer-reviewed literature published between 2002 and 2022 was undertaken using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. Search terms were derived from three major topics, including: [1] Australian population; [2] spatial analysis of health service accessibility; and [3] objective physical access measures. RESULTS: Database searches retrieved 1,381 unique records. Records were screened for eligibility, resulting in 82 articles for inclusion. Most articles analysed access to primary health services (n = 50; 61%), followed by specialist care (n = 17; 21%), hospital services (n = 12; 15%), and health promotion and prevention (n = 3; 4%). The geographic scope of the 82 articles included national (n = 33; 40%), state (n = 27; 33%), metropolitan (n = 18; 22%), and specified regional / rural /remote area (n = 4; 5%). Most articles used distance-based physical access measures, including travel time (n = 30; 37%) and travel distance along a road network (n = 21; 26%), and Euclidean distance (n = 24; 29%). CONCLUSION: This review is the first comprehensive systematic review to synthesise the evidence on how spatial measures have been applied to measure health service accessibility in the Australian context over the past two decades. Objective and transparent access measures that are fit for purpose are imperative to address persistent health inequities and inform equitable resource distribution and evidence-based policymaking.

Type 2 Diabetes Stigma Assessment Scale (DSAS-2): Cultural and linguistic adaptation and psychometric assessment of the Arabic version.

AIMS: To culturally and linguistically adapt the Type 2 Diabetes Stigma Assessment Scale (DSAS-2) into Arabic and assess its psychometric properties. METHODS: Following forward-backward translation of the DSAS-2, the Content Validity Index (CVI) was assessed. Cognitive debriefing and pilot testing were conducted with adults with T2DM. The Arabic DSAS-2 was included in a multi-center, cross-sectional study (N = 327) Arabic-speaking adults with type 2 diabetes. Psychometric analyses included exploratory and confirmatory factor analysis (EFA/CFA), internal consistency reliability, and convergent validity. RESULTS: The Arabic DSAS-2 was considered appropriate, with an excellent CVI (0.98). Unforced EFA revealed a satisfactory three-factor structure, indicating the same subscales as the original instrument ('Treated differently', 'Blame and judgment', 'Self-stigma'). EFA for three factors showed good indicators (KMO=0.924; Bartlett's test of sphericity χ2 = 4063.709, df=171, p < 0.001). Internal consistency was satisfactory for both the three-factor structure (α = 0.91, α = 0.88, and α = 0.88, respectively) and the single factor (α = 0.94). CFA results were inconclusive. Although fit indices improved for the single-factor model, compared to the three-factor, they remained inadequate. The total scale demonstrated satisfactory convergent validity with self-esteem. CONCLUSIONS: The Arabic DSAS-2 has excellent reliability and acceptable validity, supporting a three-factor structure as well as the use of a total score.

Research training incorporating education and mentoring for rural and regional allied health professionals: An evaluation study.

INTRODUCTION AND OBJECTIVE: Building rural health workforce research capacity is critical to addressing rural health inequalities. Research training is a mainstay research capacity building strategy. This paper describes the delivery and evaluation of a research training program for rural and regional allied health professions (AHPs). DESIGN: A mentored research training program was delivered to AHPs employed public health services in rural and regional Victoria, Australia. The program was evaluated using the Evidence-Based Practice Knowledge Attitudes and Practice (EBP-KAP) tool at baseline and 3 months post-training. Semi-structured interviews undertaken at 3 and 16 months post-training explored participants' perspectives of the training, their development and application of EBP and research skills. Survey data were analysed descriptively, and interview data were analysed using a framework approach. FINDINGS: Thirty-four individuals from 14 organisations attended the first workshop and 31 attended the second. Thirty-one participants completed the survey at baseline and nine at 3 months post-training. Sixteen interviews were undertaken with 11 participants, five participating at both time points. Participants had positive EBP attitudes at both time points. Overall, participants' knowledge and incorporation of EBP into their practice, and retrieval of evidence was unchanged 3 months post-training. Themes identified in the interview data were as follows: (1) individual research capacity enhanced through supported practice, (2) organisational factors influence individuals' progression of research and (3) individual contributions towards research capacity within the organisation. CONCLUSION: A mentored rural research training program promoted the application of EBP skills at the individual level and contributed to organisational research capacity.

Participatory research with a rural Aboriginal Community Controlled Health Organisation: lessons learned using the CONSIDER statement.

CONTEXT: In Australia, Aboriginal Community Controlled Health Organisations (ACCHOs) are geographically proximal to where Aboriginal and Torres Strait Islander People reside and are valued for providing holistic and culturally safe primary health care. Partnering with ACCHOs in research is appropriate for redressing health inequities experienced by Aboriginal and Torres Strait Islander People, which includes a high burden of chronic disease. Historically, some approaches to Aboriginal and Torres Strait Islander health research have been unethical. Greater accountability in the research process, transparency in reporting, and use of culturally appropriate research methodologies are key recommendations to improving the ethical integrity of research. The need for strengthening the reporting of health research involving Aboriginal and Torres Strait Islander People and Indigenous peoples globally led to the development of the CONSolIDated critERia for strengthening the reporting of health research involving Indigenous peoples (CONSIDER statement), which is a synthesis of international ethical guidelines. This project report uses the CONSIDER statement to critically reflect on participatory research undertaken in partnership with an ACCHO in the rural context and to identify lessons of value for future research. ISSUE: By using the CONSIDER statement as a tool for critical reflection, it was identified that processes used to establish a research partnership with an ACCHO were key to setting the research agenda, including identifying ethical issues, the needs of local Aboriginal and Torres Strait Islander People, and expectations from the research. The participation of Aboriginal community members throughout the entire research process was not only methodologically important but was also ethically appropriate. Research activities in this project included opportunities for Aboriginal community members to directly share their perspectives and experiences and develop local solutions to issues affecting them. Outcomes included evidence to support future funding applications, community-derived priorities that assisted with government reporting, and locally identified methods for addressing chronic disease management. Key to this was building the research capacity and capability of local Aboriginal community members, which also reflected the ethical principles of reciprocity and equity. This also provided opportunities for non-Indigenous researchers to learn from local Aboriginal community members and develop skills in culturally appropriate research. LESSONS LEARNED: Using the CONSIDER statement was beneficial in enabling researchers to critically reflect on a participatory research project undertaken in partnership with a rural ACCHO. Researchers identified that participatory approaches can be used to generate research of relevance to local Aboriginal community members and their ACCHOs, and to support health service reporting, and future funding applications. Research timelines and activities needed to be flexible and adaptable, to allow for staff turnover and unforeseen events of cultural significance. Similarly, it is important for researchers to be receptive to change and open to learning. Although research partnerships are established on trust and mutual respect, it is recommended that greater formal provisions are required to protect the intellectual property of Aboriginal and Torres Strait Islander communities involved in research. These lessons are likely to be transferrable to other settings and are of value to researchers seeking to partner with ACCHOs in research.

Implementation and prospective evaluation of the Country Heart Attack Prevention model of care to improve attendance and completion of cardiac rehabilitation for patients with cardiovascular diseases living in rural Australia: a study protocol.

INTRODUCTION: Despite extensive evidence of its benefits and recommendation by guidelines, cardiac rehabilitation (CR) remains highly underused with only 20%-50% of eligible patients participating. We aim to implement and evaluate the Country Heart Attack Prevention (CHAP) model of care to improve CR attendance and completion for rural and remote participants. METHODS AND ANALYSIS: CHAP will apply the model for large-scale knowledge translation to develop and implement a model of care to CR in rural Australia. Partnering with patients, clinicians and health service managers, we will codevelop new approaches and refine/expand existing ones to address known barriers to CR attendance. CHAP will codesign a web-based CR programme with patients expanding their choices to CR attendance. To increase referral rates, CHAP will promote endorsement of CR among clinicians and develop an electronic system that automatises referrals of in-hospital eligible patients to CR. A business model that includes reimbursement of CR delivered in primary care by Medicare will enable sustainable access to CR. To promote CR quality improvement, professional development interventions and an accreditation programme of CR services and programmes will be developed. To evaluate 12-month CR attendance/completion (primary outcome), clinical and cost-effectiveness (secondary outcomes) between patients exposed (n=1223) and not exposed (n=3669) to CHAP, we will apply a multidesign approach that encompasses a prospective cohort study, a pre-post study and a comprehensive economic evaluation. ETHICS AND DISSEMINATION: This study was approved by the Southern Adelaide Clinical Human Research Ethics Committee (HREC/20/SAC/78) and by the Department for Health and Wellbeing Human Research Ethics Committee (2021/HRE00270), which approved a waiver of informed consent. Findings and dissemination to patients and clinicians will be through a public website, online educational sessions and scientific publications. Deidentified data will be available from the corresponding author on reasonable request. TRIAL REGISTRATION NUMBER: ACTRN12621000222842.

National analysis of the Modified Monash Model, population distribution and a socio-economic index to inform rural health workforce planning.

AIMS: To describe the population distribution and socio-economic position of residents across all states and territories of Australia, stratified using the 7 Modified Monash Model classifications. The numerical summary, and the methods described, can be applied by a variety of end users including workforce planners, researchers, policy-makers and funding bodies for guiding future investment under different scenarios, and aid in evaluating geographically focused programs. CONTEXT: The Commonwealth Department of Health is transitioning to the Modified Monash Model to objectively describe geographical access. This change applies to the Rural Health Multidisciplinary Training Program, one of the Australian Government's key policies to address the maldistribution of the rural health workforce. Unlike the previously applied Australian Statistical Geography Standard-Remoteness Areas, a summary of the population in each Modified Monash Model classification is not available, nor is a socio-economic overview of the communities within these areas. APPROACH: Spatial analysis of Australian Bureau of Statistics data (Modified Monash Model, population data and the Index of Relative Socio-economic Advantage and Disadvantage collected or derived from the 2016 census) at the Statistical Area 1-the smallest unit for the release of census data. CONCLUSION: Linking the Modified Monash Model, a socio-economic index and granular population data at the national level highlights the disadvantage of many residents in small rural towns (Modified Monash 5). The Modified Monash Model does not exhibit a continuum of the largest population residing in the most accessible classification and the smallest population residing in the least accessible classification that is seen in the Australian Statistical Geography Standard-Remoteness Areas. Coupled with policy relevance, the advantage of using the Modified Monash Model as the basis for analysis is that it highlights areas that have both a critical mass of residents and differing levels of socio-economic advantage and disadvantage. This will help end users to target funding to those regions where there is potential to improve access to services for the greatest number of rural residents.

Rationale and protocol for the Nursing and Allied Health Graduate Outcomes Tracking (NAHGOT) study: a large-scale longitudinal investigation of graduate practice destinations.

INTRODUCTION: Inequitable distribution of health workforce limits access to healthcare services and contributes to adverse health outcomes. WHO recommends tracking health professionals from their points of entry into university and over their careers for the purpose of workforce development and planning. Previous research has focused on medical students and graduates' choice of practice location. Few studies have targeted nursing and allied health graduates' practice intentions and destinations. The Nursing and Allied Health Graduate Outcomes Tracking (NAHGOT) study is investigating factors affecting Australian nursing and allied health students and graduates' choice of graduate practice location over the course of their studies and up to 10 years after graduation by linking multiple data sources, including routinely collected university administrative and professional placement data, surveys of students and graduates, and professional registration data. METHODS: By using a prospective cohort study design, each year a new cohort of about 2000 students at each participating university (Deakin University, Monash University and the University of Newcastle) is tracked throughout their courses and for 10 years after graduation. Disciplines include medical radiation practice, nursing and midwifery, occupational therapy, optometry, paramedicine, pharmacy, physiotherapy, podiatry and psychology. University enrolment data are collected at admission and professional placement data are collected annually. Students' practice destination intentions are collected via questions added into the national Student Experience Survey (SES). Data pertaining to graduates' practice destination, intentions and factors influencing choice of practice location are collected in the first and third years after graduation via questions added to the Australian Graduate Outcomes Survey (GOS). Additionally, participants may volunteer to receive a NAHGOT survey in the second and fourth-to-tenth years after graduation. Principal place of practice data are accessed via the Australian Health Practitioner Regulation Agency (Ahpra) annually. Linked data are aggregated and analysed to test hypotheses comparing associations between multiple variables and graduate practice location. RESULTS: This study seeks to add to the limited empirical evidence about factors that lead to rural practice in the nursing and allied health professions. This prospective large-scale, comprehensive study tracks participants from eight different health professions across three universities through their pre-registration education and into their postgraduate careers, an approach not previously reported in Australia. To achieve this, the NAHGOT study links data drawn from university enrolment and professional placement data, the SES, the GOS, online NAHGOT graduate surveys, and Ahpra data. The prospective cohort study design enables the use of both comparative analysis and hypothesis testing. The flexible and inclusive study design is intended to enable other universities, as well as those allied health professions not regulated by Ahpra, to join the study over time. CONCLUSION: The study demonstrates how the systematic, institutional tracking and research approach advocated by the WHO can be applied to the nursing and allied health workforce in Australia. It is expected that this large-scale, longitudinal, multifactorial, multicentre study will help inform future nursing and allied health university admission, graduate pathways and health workforce planning. Furthermore, the project could be expanded to explore health workforce attrition and thereby influence health workforce planning overall.

The Inverse Care Law might not apply to preventative health services in community pharmacy.

INTRODUCTION: The Inverse Care Law states that healthcare availability is inversely related to the needs of the population served. Increasing the provision of community pharmacy (CP) services for cardiovascular disease has been suggested to improve equity of healthcare access, particularly for screening, but few studies examine this. The aim of this study was to determine how the availability and uptake of cardiovascular disease (CVD) prevention services in CPs varies according to practice and local population characteristics. METHODS: Pharmacists at all Victorian CPs were invited by phone to participate in a survey. The survey examined pharmacy characteristics, CVD-relevant service characteristics, and resources for service provision. Pharmacists who declined were asked if they would instead briefly provide key information. Area-level socioeconomic (SES) data for each pharmacy was included in the analyses. Binary logistic regression was used to determine the association of pharmacy attributes with service delivery. RESULTS: Of 1238 CPs identified, 519 (42%) pharmacists completed the full questionnaire and 414 (33%) provided brief information. In general, services were more frequently available from pharmacies in lower SES and rural communities, with quality accreditation and with private counselling facilities. Factors predicting the likelihood of pharmacies receiving reimbursement for services that were not government-funded included having a private room or counselling area, and more than one pharmacist on duty. Factors predicting service delivery volume in the top quartile included script volume and private counselling facilities, and lower SES community profile. Only script volume predicted volume of government-funded medication reviews (MedsChecks). DISCUSSION: Our finding that the Inverse Care Law may not apply to preventative service provision in CPs is highly notable and contrary to multiple findings in other settings. An understanding of the context and drivers of increased CP service provision in more vulnerable communities may inform the delivery of more equitable health services generally.

Beyond the black stump: rapid reviews of health research issues affecting regional, rural and remote Australia.

CHAPTER 1: RETAIL INITIATIVES TO IMPROVE THE HEALTHINESS OF FOOD ENVIRONMENTS IN RURAL, REGIONAL AND REMOTE COMMUNITIES: Objective: To synthesise the evidence for effectiveness of initiatives aimed at improving food retail environments and consumer dietary behaviour in rural, regional and remote populations in Australia and comparable countries, and to discuss the implications for future food environment initiatives for rural, regional and remote areas of Australia. STUDY DESIGN: Rapid review of articles published between January 2000 and May 2020. DATA SOURCES: We searched MEDLINE (EBSCOhost), Health and Society Database (Informit) and Rural and Remote Health Database (Informit), and included studies undertaken in rural food environment settings in Australia and other countries. DATA SYNTHESIS: Twenty-one articles met the inclusion criteria, including five conducted in Australia. Four of the Australian studies were conducted in very remote populations and in grocery stores, and one was conducted in regional Australia. All of the overseas studies were conducted in rural North America. All of them revealed a positive influence on food environment or consumer behaviour, and all were conducted in disadvantaged, rural communities. Positive outcomes were consistently revealed by studies of initiatives that focused on promotion and awareness of healthy foods and included co-design to generate community ownership and branding. CONCLUSION: Initiatives aimed at improving rural food retail environments were effective and, when implemented in different rural settings, may encourage improvements in population diets. The paucity of studies over the past 20 years in Australia shows a need for more research into effective food retail environment initiatives, modelled on examples from overseas, with studies needed across all levels of remoteness in Australia. Several retail initiatives that were undertaken in rural North America could be replicated in rural Australia and could underpin future research. CHAPTER 2: WHICH INTERVENTIONS BEST SUPPORT THE HEALTH AND WELLBEING NEEDS OF RURAL POPULATIONS EXPERIENCING NATURAL DISASTERS?: Objective: To explore and evaluate health and social care interventions delivered to rural and remote communities experiencing natural disasters in Australia and other high income countries. STUDY DESIGN: We used systematic rapid review methods. First we identified a test set of citations and generated a frequency table of Medical Subject Headings (MeSH) to index articles. Then we used combinations of MeSH terms and keywords to search the MEDLINE (Ovid) database, and screened the titles and abstracts of the retrieved references. DATA SOURCES: We identified 1438 articles via database searches, and a further 62 articles via hand searching of key journals and reference lists. We also found four relevant grey literature resources. After removing duplicates and undertaking two stages of screening, we included 28 studies in a synthesis of qualitative evidence. DATA SYNTHESIS: Four of us read and assessed the full text articles. We then conducted a thematic analysis using the three phases of the natural disaster response cycle. CONCLUSION: There is a lack of robust evaluation of programs and interventions supporting the health and wellbeing of people in rural communities affected by natural disasters. To address the cumulative and long term impacts, evidence suggests that continuous support of people's health and wellbeing is needed. By using a lens of rural adversity, the complexity of the lived experience of natural disasters by rural residents can be better understood and can inform development of new models of community-based and integrated care services. CHAPTER 3: THE IMPACT OF BUSHFIRE ON THE WELLBEING OF CHILDREN LIVING IN RURAL AND REMOTE AUSTRALIA: Objective: To investigate the impact of bushfire events on the wellbeing of children living in rural and remote Australia. STUDY DESIGN: Literature review completed using rapid realist review methods, and taking into consideration the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement for systematic reviews. DATA SOURCES: We sourced data from six databases: EBSCOhost (Education), EBSCOhost (Health), EBSCOhost (Psychology), Informit, MEDLINE and PsycINFO. We developed search terms to identify articles that could address the research question based on the inclusion criteria of peer reviewed full text journal articles published in English between 1983 and 2020. We initially identified 60 studies and, following closer review, extracted data from eight studies that met the inclusion criteria. DATA SYNTHESIS: Children exposed to bushfires may be at increased risk of poorer wellbeing outcomes. Findings suggest that the impact of bushfire exposure may not be apparent in the short term but may become more pronounced later in life. Children particularly at risk are those from more vulnerable backgrounds who may have compounding factors that limit their ability to overcome bushfire trauma. CONCLUSION: We identified the short, medium and long term impacts of bushfire exposure on the wellbeing of children in Australia. We did not identify any evidence-based interventions for supporting outcomes for this population. Given the likely increase in bushfire events in Australia, research into effective interventions should be a priority. CHAPTER 4: THE ROLE OF NATIONAL POLICIES TO ADDRESS RURAL ALLIED HEALTH, NURSING AND DENTISTRY WORKFORCE MALDISTRIBUTION: Objective: Maldistribution of the health workforce between rural, remote and metropolitan communities contributes to longstanding health inequalities. Many developed countries have implemented policies to encourage health care professionals to work in rural and remote communities. This scoping review is an international synthesis of those policies, examining their effectiveness at recruiting and retaining nursing, dental and allied health professionals in rural communities. STUDY DESIGN: Using scoping review methods, we included primary research - published between 1 September 2009 and 30 June 2020 - that reported an evaluation of existing policy initiatives to address workforce maldistribution in high income countries with a land mass greater than 100 000 km2 . DATA SOURCES: We searched MEDLINE, Ovid Embase, Ovid Emcare, Informit, Scopus, and Web of Science. We screened 5169 articles for inclusion by title and abstract, of which we included 297 for full text screening. We then extracted data on 51 studies that had been conducted in Australia, the United States, Canada, United Kingdom and Norway. DATA SYNTHESIS: We grouped the studies based on World Health Organization recommendations on recruitment and retention of health care workers: education strategies (n = 27), regulatory change (n = 11), financial incentives (n = 6), personal and professional support (n = 4), and approaches with multiple components (n = 3). CONCLUSION: Considerable work has occurred to address workforce maldistribution at a local level, underpinned by good practice guidelines, but rarely at scale or with explicit links to coherent overarching policy. To achieve policy aspirations, multiple synergistic evidence-based initiatives are needed, and implementation must be accompanied by well designed longitudinal evaluations that assess the effectiveness of policy objectives. CHAPTER 5: AVAILABILITY AND CHARACTERISTICS OF PUBLICLY AVAILABLE HEALTH WORKFORCE DATA SOURCES IN AUSTRALIA: Objective: Many data sources are used in Australia to inform health workforce planning, but their characteristics in terms of relevance, accessibility and accuracy are uncertain. We aimed to identify and appraise publicly available data sources used to describe the Australian health workforce. STUDY DESIGN: We conducted a scoping review in which we searched bibliographic databases, websites and grey literature. Two reviewers independently undertook title and abstract screening and full text screening using Covidence software. We then assessed the relevance, accessibility and accuracy of data sources using a customised appraisal tool. DATA SOURCES: We searched for potential workforce data sources in nine databases (MEDLINE, Embase, Ovid Emcare, Scopus, Web of Science, Informit, the JBI Evidence-based Practice Database, PsycINFO and the Cochrane Library) and the grey literature, and examined several pre-defined websites. DATA SYNTHESIS: During the screening process we identified 6955 abstracts and examined 48 websites, from which we identified 12 publicly available data sources - eight primary and four secondary data sources. The primary data sources were generally of modest quality, with low scores in terms of reference period, accessibility and missing data. No single primary data source scored well across all domains of the appraisal tool. CONCLUSION: We identified several limitations of data sources used to describe the Australian health workforce. Establishment of a high quality, longitudinal, linked database that can inform all aspects of health workforce development is urgently needed, particularly for rural health workforce and services planning. CHAPTER 6: RAPID REALIST REVIEW OF OPIOID TAPERING IN THE CONTEXT OF LONG TERM OPIOID USE FOR NON-CANCER PAIN IN RURAL AREAS: Objective: To describe interventions, barriers and enablers associated with opioid tapering for patients with chronic non-cancer pain in rural primary care settings. STUDY DESIGN: Rapid realist review registered on the international register of systematic reviews (PROSPERO) and conducted in accordance with RAMESES standards. DATA SOURCES: English language, peer-reviewed articles reporting qualitative, quantitative and mixed method studies, published between January 2016 and July 2020, and accessed via MEDLINE, Embase, CINAHL Complete, PsycINFO, Informit or the Cochrane Library during June and July 2020. Grey literature relating to prescribing, deprescribing or tapering of opioids in chronic non-cancer pain, published between January 2016 and July 2020, was identified by searching national and international government, health service and peek organisation websites using Google Scholar. DATA SYNTHESIS: Our analysis of reported approaches to tapering conducted across rural and non-rural contexts showed that tapering opioids is complex and challenging, and identified several barriers and enablers. Successful outcomes in rural areas appear likely through therapeutic relationships, coordination and support, by using modalities and models of care that are appropriate in rural settings and by paying attention to harm minimisation. CONCLUSION: Rural primary care providers do not have access to resources available in metropolitan centres for dealing with patients who have chronic non-cancer pain and are taking opioid medications. They often operate alone or in small group practices, without peer support and access to multidisciplinary and specialist teams. Opioid tapering approaches described in the literature include regulation, multimodal and multidisciplinary approaches, primary care provider support, guidelines, and patient-centred strategies. There is little research to inform tapering in rural contexts. Our review provides a synthesis of the current evidence in the form of a conceptual model. This preliminary model could inform the development of a model of care for use in implementation research, which could test a variety of mechanisms for supporting decision making, reducing primary care providers' concerns about potential harms arising from opioid tapering, and improving patient outcomes.

Mobile primary health care clinics for Indigenous populations in Australia, Canada, New Zealand and the United States: a systematic scoping review.

BACKGROUND: Mobile clinics have been used to deliver primary health care to populations that otherwise experience difficulty in accessing services. Indigenous populations in Australia, Canada, New Zealand, and the United States experience greater health inequities than non-Indigenous populations. There is increasing support for Indigenous-governed and culturally accessible primary health care services which meet the needs of Indigenous populations. There is some support for primary health care mobile clinics implemented specifically for Indigenous populations to improve health service accessibility. The purpose of this review is to scope the literature for evidence of mobile primary health care clinics implemented specifically for Indigenous populations in Australia, Canada, New Zealand, and the United States. METHODS: This review was undertaken using the Joanna Brigg Institute (JBI) scoping review methodology. Review objectives, inclusion criteria and methods were specified in advance and documented in a published protocol. The search included five academic databases and an extensive search of the grey literature. RESULTS: The search resulted in 1350 unique citations, with 91 of these citations retrieved from the grey literature and targeted organisational websites. Title, abstract and full-text screening was conducted independently by two reviewers, with 123 citations undergoing full text review. Of these, 39 citations discussing 25 mobile clinics, met the inclusion criteria. An additional 14 citations were snowballed from a review of the reference lists of included citations. Of these 25 mobile clinics, the majority were implemented in Australia (n = 14), followed by United States (n = 6) and Canada (n = 5). No primary health mobile clinics specifically for Indigenous people in New Zealand were retrieved. There was a pattern of declining locations serviced by mobile clinics with an increasing population. Furthermore, only 13 mobile clinics had some form of evaluation. CONCLUSIONS: This review identifies geographical gaps in the implementation of primary health care mobile clinics for Indigenous populations in Australia, Canada, New Zealand, and the United States. There is a paucity of evaluations supporting the use of mobile clinics for Indigenous populations and a need for organisations implementing mobile clinics specifically for Indigenous populations to share their experiences. Engaging with the perspectives of Indigenous people accessing mobile clinic services is imperative to future evaluations. REGISTRATION: The protocol for this review has been peer-reviewed and published in JBI Evidence Synthesis (doi: 10.11124/JBISRIR-D-19-00057).

Implementing an intervention to promote normal labour and birth: A study of clinicians' perceptions.

OBJECTIVE: Prior to implementation of a Normal Labour and Birth Bundle (NLBB) at a regional maternity service in Victoria, Australia, this study aimed to understand clinician factors that may influence the uptake, acceptance and use of the NLBB. DESIGN: This was a mixed methods study in which The Theory of Planned Behaviour (TPB) provided the framework for the conduct and analysis of the staff survey and focus groups. Descriptive and multiple regression were used to analyse the survey data and thematic analysis was used for the focus group data. PARTICIPANTS: Participants for the survey and focus groups included clinicians providing publicly funded care and management of labour for women birthing at the health service. Maternity care clinicians were invited to participate in both the survey and the focus groups. FINDINGS: Seventy-six clinicians (88.8%) responded to the survey. Mean scores for TPB constructs were well above the mid-scale score of 4, indicating strong positive attitudes, high levels of self-efficacy and positive social pressure to use the NLBB and strong intentions to use it in the future. Self-efficacy was the strongest independent predictor (ß = 0.45, p < 0.001) of intention to use the NLBB (overall model R2=0.38). A valued consequence of implementing standardised and objective guidelines, highlighted in the focus groups, was the positive impact on clinicians' confidence in their decision-making. KEY CONCLUSIONS: This study found that midwives and obstetricians were in favour of using a normal labour and birth care bundle and perceived the bundle to align with the expectations of work colleagues and the women they care for. The findings of this study show that clinicians at the health service had strong intentions to use the normal labour and birth care bundle in the future. IMPLICATIONS FOR PRACTICE: Implementation science is important in embedding and sustaining practice change. Understanding staff perceptions is an essential first step of this process.

Influence of socioeconomic factors and distance to radiotherapy on breast-conserving surgery rates for early breast cancer in regional Australia; implications of change.

AIMS: Breast conserving surgery rates are affected by many factors including distance to radiotherapy and tumor-related features. Numerous studies have found women who must travel further for radiotherapy are more likely to choose mastectomy and avoid radiotherapy. We examined relationships between socioeconomic group, distance to radiotherapy services and mastectomy rates across a range of rural and metropolitan settings. METHODS: We used a dataset extracted from the Evaluation of Cancer Outcomes Barwon South Western Registry, which captured data on new breast cancer diagnoses in the southwest region of Victoria, Australia. Using logistic regression, we modeled treatment choice of women with early breast cancer (mastectomy vs breast conserving surgery) using explanatory variables that included distance to radiotherapy, and area-level socioeconomic data from the Australian Bureau of Statistics, while controlling for clinical factors. RESULTS: Mastectomy was associated with tumor size, nodal burden and younger age at surgery. Distance to a radiotherapy center was also strongly associated with increased rates of mastectomy for women who traveled 100-200 km for radiotherapy (odds ratio = 1.663; P = 0.03) compared to the reference group who were within 100 km of radiotherapy. No socioeconomic differences were seen between the two groups. CONCLUSION: A strong association between distance to radiotherapy and the type of surgery for early breast cancer was found. Improving access to radiotherapy therefore has the potential to improve breast cancer outcomes for women in regional Australia.

Pharmacy Diabetes Screening Trial: protocol for a pragmatic cluster-randomised controlled trial to compare three screening methods for undiagnosed type 2 diabetes in Australian community pharmacy.

INTRODUCTION: With the rising prevalence of type 2 diabetes in Australia, screening and earlier diagnosis is needed to provide opportunities to intervene with evidence-based lifestyle and treatment options to reduce the individual, social and economic impact of the disease. The objectives of the Pharmacy Diabetes Screening Trial are to compare the clinical effectiveness and cost-effectiveness of three screening models for type 2 diabetes in a previously undiagnosed population. METHODS AND ANALYSIS: The Pharmacy Diabetes Screening Trial is a pragmatic cluster randomised controlled trial to be conducted in 363 community pharmacies across metropolitan, regional and remote areas of Australia, randomly allocated by geographical clusters to one of three groups, each with 121 pharmacies and 10 304 screening participants. The three groups are: group A: risk assessment using a validated tool (AUSDRISK); group B: AUSDRISK assessment followed by point-of-care glycated haemoglobin testing; and group C: AUSDRISK assessment followed by point-of-care blood glucose testing. The primary clinical outcome measure is the proportion of newly diagnosed cases of type 2 diabetes. Primary outcome comparisons will be conducted using the Cochran-Mantel-Haenszel test to account for clustering. The secondary clinical outcomes measures are the proportion of those who (1) are referred to the general practitioner (GP), (2) take up referral to the GP, (3) are diagnosed with pre-diabetes, that is, impaired glucose tolerance or impaired fasting glucose and (4) are newly diagnosed with either diabetes or pre-diabetes. The economic outcome measure is the average cost (direct and indirect) per confirmed new case of diagnosed type 2 diabetes based on the incremental net trial-based costs of service delivery and the associated incremental longer term health benefits from a health funder perspective. ETHICS AND DISSEMINATION: The protocol has been approved by the Human Research Ethics Committees at University of Sydney and Deakin University. Results will be available on the Sixth Community Pharmacy Agreement website and will be published in peer reviewed journals. TRIAL REGISTRATION NUMBER: ACTRN12616001240437; Pre-results.

Evaluation of AUSDRISK as a screening tool for lifestyle modification programs: international implications for policy and cost-effectiveness.

OBJECTIVE: To evaluate the current use of Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK) as a screening tool to identify individuals at high risk of developing type 2 diabetes for entry into lifestyle modification programs. RESEARCH DESIGN AND METHODS: AUSDRISK scores were calculated from participants aged 40-74 years in the Greater Green Triangle Risk Factor Study, a cross-sectional population survey in 3 regions of Southwest Victoria, Australia, 2004-2006. Biomedical profiles of AUSDRISK risk categories were determined along with estimates of the Victorian population included at various cut-off scores. Sensitivity, specificity, positive predictive value (PPV), negative predictive value, and receiver operating characteristics were calculated for AUSDRISK in determining fasting plasma glucose (FPG) ≥6.1 mmol/L. RESULTS: Increasing AUSDRISK scores were associated with an increase in weight, body mass index, FPG, and metabolic syndrome. Increasing the minimum cut-off score also increased the proportion of individuals who were obese and centrally obese, had impaired fasting glucose (IFG) and metabolic syndrome. An AUSDRISK score of ≥12 was estimated to include 39.5% of the Victorian population aged 40-74 (916 000), while a score of ≥20 would include only 5.2% of the same population (120 000). At AUSDRISK≥20, the PPV for detecting FPG≥6.1 mmol/L was 28.4%. CONCLUSIONS: AUSDRISK is powered to predict those with IFG and undiagnosed type 2 diabetes, but its effectiveness as the sole determinant for entry into a lifestyle modification program is questionable given the large proportion of the population screened-in using the current minimum cut-off of ≥12. AUSDRISK should be used in conjunction with oral glucose tolerance testing, fasting glucose, or glycated hemoglobin to identify those individuals at highest risk of progression to type 2 diabetes, who should be the primary targets for lifestyle modification.

Socio-cultural disparities in GDM burden differ by maternal age at first delivery.

AIMS: Several socio-cultural and biomedical risk factors for gestational diabetes mellitus (GDM) are modifiable. However, few studies globally have examined socio-cultural associations. To eliminate confounding of increased risk of diabetes in subsequent pregnancies, elucidating socio-cultural associations requires examination only of first pregnancies. METHODS: Data for all women who delivered their first child in Victoria, Australia between 1999 and 2008 were extracted from the Victorian Perinatal Data Collection. Crude and adjusted GDM rates were calculated. Multivariate logistic regression was used to examine odds of GDM within and between socio-cultural groups. RESULTS: From 1999 to 2008, 269,682 women delivered their first child in Victoria. GDM complicated 11,763 (4.4%) pregnancies and burden increased with maternal age, from 2.1% among women aged below 25 years at delivery to 7.0% among those aged 35 years or more. Among younger women, GDM rates were relatively stable across socioeconomic levels. Amongst older women GDM rates were highest in those living in most deprived areas, with a strong social gradient. Asian-born mothers had highest GDM rates. All migrant groups except women born in North-West Europe had higher odds of GDM than Australian-born non-Indigenous women. In all ethnic groups, these differences were not pronounced among younger mothers, but became increasingly apparent amongst older women. CONCLUSIONS: Socio-cultural disparities in GDM burden differ by maternal age at first delivery. Socio-cultural gradients were not evident among younger women. Health and social programs should seek to reduce the risk amongst all older women to that of the least deprived older mothers.