Attitudes to Short-Term Staffing and Workforce Priorities of Community Users of Remote Aboriginal Community-Controlled Health Services: A Qualitative Study.

In recent years, there has been an increasing trend of short-term staffing in remote health services, including Aboriginal Community-Controlled Health Services (ACCHSs). This paper explores the perceptions of clinic users' experiences at their local clinic and how short-term staffing impacts the quality of service, acceptability, cultural safety, and continuity of care in ACCHSs in remote communities. Using purposeful and convenience sampling, community users (aged 18+) of the eleven partnering ACCHSs were invited to provide feedback about their experiences through an interview or focus group. Between February 2020 and October 2021, 331 participants from the Northern Territory and Western Australia were recruited to participate in the study. Audio recordings were transcribed verbatim, and written notes and transcriptions were analysed deductively. Overall, community users felt that their ACCHS provided comprehensive healthcare that was responsive to their health needs and was delivered by well-trained staff. In general, community users expressed concern over the high turnover of staff. Recognising the challenges of attracting and retaining staff in remote Australia, community users were accepting of rotation and job-sharing arrangements, whereby staff return periodically to the same community, as this facilitated trusting relationships. Increased support for local employment pathways, the use of interpreters to enhance communication with healthcare services, and services for men delivered by men were priorities for clinic users.

Effects of turnover and stability of health staff on quality of care in remote communities of the Northern Territory, Australia: a retrospective cohort study.

OBJECTIVES: To evaluate the relationship between markers of staff employment stability and use of short-term healthcare workers with markers of quality of care. A secondary objective was to identify clinic-specific factors which may counter hypothesised reduced quality of care associated with lower stability, higher turnover or higher use of short-term staff. DESIGN: Retrospective cohort study (Northern Territory (NT) Department of Health Primary Care Information Systems). SETTING: All 48 government primary healthcare clinics in remote communities in NT, Australia (2011-2015). PARTICIPANTS: 25 413 patients drawn from participating clinics during the study period. OUTCOME MEASURES: Associations between independent variables (resident remote area nurse and Aboriginal Health Practitioner turnover rates, stability rates and the proportional use of agency nurses) and indicators of health service quality in child and maternal health, chronic disease management and preventive health activity were tested using linear regression, adjusting for community and clinic size. Latent class modelling was used to investigate between-clinic heterogeneity. RESULTS: The proportion of resident Aboriginal clients receiving high-quality care as measured by various quality indicators varied considerably across indicators and clinics. Higher quality care was more likely to be received for management of chronic diseases such as diabetes and least likely to be received for general/preventive adult health checks. Many indicators had target goals of 0.80 which were mostly not achieved. The evidence for associations between decreased stability measures or increased use of agency nurses and reduced achievement of quality indicators was not supported as hypothesised. For the majority of associations, the overall effect sizes were small (close to zero) and failed to reach statistical significance. Where statistically significant associations were found, they were generally in the hypothesised direction. CONCLUSIONS: Overall, minimal evidence of the hypothesised negative effects of increased turnover, decreased stability and increased reliance on temporary staff on quality of care was found. Substantial variations in clinic-specific estimates of association were evident, suggesting that clinic-specific factors may counter any potential negative effects of decreased staff employment stability. Investigation of clinic-specific factors using latent class analysis failed to yield clinic characteristics that adequately explain between-clinic variation in associations. Understanding the reasons for this variation would significantly aid the provision of clinical care in remote Australia.

Costs and effects of higher turnover of nurses and Aboriginal health practitioners and higher use of short-term nurses in remote Australian primary care services: an observational cohort study.

OBJECTIVES: To compare the costs and effects of higher turnover of resident nurses and Aboriginal health practitioners and higher use of agency-employed nurses in remote primary care (PC) services and quantify associations between staffing patterns and health outcomes in remote PC clinics in the Northern Territory (NT) of Australia. DESIGN: Observational cohort study, using hospital admission, financial and payroll data for the period 2013-2015. SETTING: 53 NT Government run PC clinics in remote communities. OUTCOME MEASURES: Incremental cost-effectiveness ratios were calculated for higher compared with lower turnover and higher compared with lower use of agency-employed nurses. Costs comprised PC, travel and hospitalisation costs. Effect measures were total hospitalisations and years of life lost per 1000 person-months. Multiple regression was performed to investigate associations between overall health costs and turnover rates and use of agency-employed nurses, after adjusting for key confounders. RESULTS: Higher turnover was associated with significantly higher hospitalisation rates (p<0.001) and higher average health costs (p=0.002) than lower turnover. Lower turnover was always more cost-effective. Average costs were significantly (p<0.001) higher when higher proportions of agency-employed nurses were employed. The probability that lower use of agency-employed nurses was more cost-effective was 0.84. Halving turnover and reducing use of a short-term workforce have the potential to save $32 million annually in the NT. CONCLUSION: High turnover of health staff is costly and associated with poorer health outcomes for Aboriginal peoples living in remote communities. High reliance on agency nurses is also very likely to be cost-ineffective. Investment in a coordinated range of workforce strategies that support recruitment and retention of resident nurses and Aboriginal health practitioners in remote clinics is needed to stabilise the workforce, minimise the risks of high staff turnover and over-reliance on agency nurses and thereby significantly reduce expenditure and improve health outcomes.

Cost impact of high staff turnover on primary care in remote Australia.

Objectives The aim of this study was to estimate the costs of providing primary care and quantify the cost impact of high staff turnover in Northern Territory (NT) remote communities. Methods This cost impact assessment used administrative data from NT Department of Health datasets, including the government accounting system and personnel information and payroll systems between 2004 and 2015, and the primary care information system from 2007 to 2015. Data related to 54 government-managed clinics providing primary care for approximately 27200 Aboriginal and non-Aboriginal people. Main outcome measures were average costs per consultation and per capita, cost differentials by clinic, year and levels of staff turnover. Linear regression and dominance analysis were used to assess the effect of staff turnover on primary care costs, after adjusting for remoteness and weighting analysis by service population. Both current and constant prices were used. Results On average, in constant prices, there was a nearly 10% annual increase in remote clinic expenditure between 2004 and 2015 and an almost 15% annual increase in consultation numbers since 2007. In real terms, the average costs per consultation decreased markedly from A$273 in 2007 to A$197 in 2015, a figure still well above the Medicare bulk-billing rate. The cost differentials between clinics were proportional to staff turnover and remoteness (both P<0.001). A 10% higher annual turnover rate pertains to an A$6.12 increase in costs per consultation. Conclusions High staff turnover exacerbates the already high costs of providing primary care in remote areas, costing approximately A$50 extra per consultation. This equates to an extra A$400000 per clinic per year on average, or A$21million annually for the NT government. Over time, sustained investments in developing a more stable primary care workforce should not only improve primary care in remote areas, but also reduce the costs of excessive turnover and overall service delivery costs. What is known about the topic? Population size and geographical remoteness are important cost drivers in remote clinics, whereas elsewhere in Australia the high use of short-term staff to fill positions has been identified as a major contributor to higher nurse turnover costs and to overall health service costs. Nursing staff expenditure accounts for a large proportion (46%) of total expenditure in NT remote health services, whereas expenditure on Aboriginal Health Practitioners (AHPs) comprises only 6%. Annual nurse turnover rates in remote NT clinics average approximately 150%, whereas levels of 40% in other contexts are considered high. What does this paper add? Annual expenditure for NT remote clinics has increased, on average, by 10% per annum between 2004 and 2015, but small declines in real expenditure have been observed from a maximum in 2012. Expenditure on nursing staff comprises 40% of overall expenditure in remote clinics, whereas expenditure on AHPs comprises less than 5%. The cost impact of every 10% increase in remote nurse and AHP annual turnover has been quantified as an extra A$6.12 per primary care consultation, which equates, on average, to an extra A$400000 per remote clinic, and an extra A$21million overall for the NT Department of Health each year. The average real expenditure per primary care consultation has decreased from A$273 in 2007 to A$197 in 2015, representing a statistically significant linear trend reduction of A$7.71 per consultation annually. What are the implications for practitioners (and other decision-makers)? Adjusting policy settings away from the high use of short-term staff to investment in appropriate training 'pipelines' for the remote primary care workforce may, in the medium and longer term, result in reduced turnover of resident staff and associated cost savings. Targeted recruitment and retention strategies that ensure individual primary care workers are an optimal fit with the remote communities in which they work, together with improved professional and personal support for staff residing in remote communities, may also help reduce turnover, improve workforce stability and lead to stronger therapeutic relationships and better health outcomes.

What is the overall impact or effectiveness of visiting primary health care services in rural and remote communities in high-income countries? A systematic review.

BACKGROUND: Visiting services address the problem of workforce deficit and access to effective primary health care services in isolated remote and rural locations. Little is known about their impact or effectiveness and thereby the extent to which they are helping to reduce the disparity in access and health outcomes between people living in remote areas compared with people living in urban regions of Australia. The objective of this study was to answer the question "What is the impact or effectiveness when different types of primary health care services visit, rather than reside in, rural and remote communities?" METHOD: We conducted a systematic review of peer-reviewed literature from established databases. We also searched relevant websites for 'grey' literature and contacted several key informants to identify other relevant reference material. All papers were reviewed by at least two assessors according to agreed inclusion and exclusion criteria. RESULTS: Initially, 345 papers were identified and, from this selection, 17 papers were considered relevant for inclusion. Following full paper review, another ten papers were excluded leaving seven papers that provided some information about the impact or effectiveness of visiting services. The papers varied with regard to study design (ranging from cluster randomised controlled trials to a case study), research quality, and the strength of their conclusions. In relation to effectiveness or impact, results were mixed. There was a lack of consistent data regarding the features or characteristics of visiting services that enhance their effectiveness or impact. Almost invariably the evaluations assessed the service provided but only two papers mentioned any aspect of the visiting features within which service provision occurred such as who did the visiting and how often they visited. CONCLUSIONS: There is currently an inadequate evidence base from which to make decisions about the effectiveness of visiting services or how visiting services should be structured in order to achieve better health outcomes for people living in remote and rural areas. Given this knowledge gap, we suggest that more rigorous evaluation of visiting services in meeting community health needs is required, and that evaluation should be guided by a number of salient principles.

What principles should guide visiting primary health care services in rural and remote communities? Lessons from a systematic review.

Visiting health services are a feature of health care delivery in rural and remote contexts. These services are often described as 'fly-in fly-out' or 'drive-in drive-out'. Posing the question 'What are the different types of visiting models of primary health care being used in rural and remote communities?', the objective of this article was to describe a typology of models of health services that visit remote communities. A systematic review of peer-reviewed literature from established databases was undertaken. Data were extracted from 20 papers (16 peer-reviewed papers and four from other sources), which met the inclusion criteria. From the available evidence, it was difficult to develop a typology of services. The central feature of service providers visiting rural and remote districts on a regular basis was consistent, although the service provider's geographical base varied and the extent to which the same service provider should be providing the service was not consistently endorsed. While a clear typology did not emerge from the systematic review, it became apparent that a set of guiding principles might be more helpful to service providers and planners. Focusing policy and decision-making on important principles of visiting services, rather than their typological features, is likely to be of ultimately more benefit to the health outcomes of people who live in rural and remote communities.

Long-term trends in supply and sustainability of the health workforce in remote Aboriginal communities in the Northern Territory of Australia.

BACKGROUND: International evidence suggests that a key to improving health and attaining more equitable health outcomes for disadvantaged populations is a health system with a strong primary care sector. Longstanding problems with health workforce supply and turnover in remote Aboriginal communities in the Northern Territory (NT), Australia, jeopardise primary care delivery and the effort to overcome the substantial gaps in health outcomes for this population. This research describes temporal changes in workforce supply in government-operated clinics in remote NT communities through a period in which there has been a substantial increase in health funding. METHODS: Descriptive and Markov-switching dynamic regression analysis of NT Government Department of Health payroll and financial data for the resident health workforce in 54 remote clinics, 2004-2015. The workforce included registered Remote Area Nurses and Midwives (nurses), Aboriginal Health Practitioners (AHPs) and staff in administrative and logistic roles. MAIN OUTCOME MEASURES: total number of unique employees per year; average annual headcounts; average full-time equivalent (FTE) positions; agency employed nurse FTE estimates; high and low supply state estimates. RESULTS: Overall increases in workforce supply occurred between 2004 and 2015, especially for administrative and logistic positions. Supply of nurses and AHPs increased from an average 2.6 to 3.2 FTE per clinic, although supply of AHPs has declined since 2010. Each year almost twice as many individual NT government-employed nurses or AHPs are required for each FTE position. Following funding increases, some clinics doubled their nursing and AHP workforce and achieved relative stability in supply. However, most clinics increased staffing to a much smaller extent or not at all, typically experiencing a "fading" of supply following an initial increase associated with greater funding, and frequently cycling periods of higher and lower staffing levels. CONCLUSIONS: Overall increases in workforce supply in remote NT communities between 2004 and 2015 have been affected by continuing very high turnover of nurses and AHPs, and compounded by recent declines in AHP supply. Despite substantial increases in resourcing, an imperative remains to implement more robust health service models which better support the supply and retention of resident health staff.

Reducing hospital admissions in remote Australia through the establishment of a palliative and chronic disease respite facility.

BACKGROUND: There are limited respite services for palliative care patients and their families in the Northern Territory (NT). The high prevalence of complex chronic diseases, limited access to primary care services, and the poor living situations of many Aboriginal and Torres Strait Islander Australians result in high hospitalisation rates and pressure on tertiary health services. Palliative Care NT identified a need for a flexible, community based, culturally appropriate respite service in Alice Springs. It was of particular interest to assess the impact of the respite service on the extent to which hospital resources were accessed by this population of patients. METHODS: Respite service use and hospital use data were collected over two time periods: the 12 months prior to the establishment of the service; and the first 10 months of the operation of the service. The financial implications of the facility were assessed in terms of the National Weighted Activity Unit (NWAU). Of primary interest in this study was the impact of the respite service on admissions to the Emergency Department (ED), to the Wards, and to the Intensive Care Unit (ICU). The amount of ventilator hours consumed was also of interest. RESULTS: Overall, there was a mean cost saving of $1882.50 per episode for hospital admissions with a reduction in: hospital admissions; mean length of stay; Intensive Care Unit (ICU) hours; and ventilator hours. CONCLUSIONS: The establishment of the respite service has met an important and unmet need in Alice Springs: provision of respite where none has existed before. The service did assist with savings to the health department which could contribute to the cost of the facility over time. Two features of the respite facility that may have contributed to the savings generated were the enhanced coordination of care for patients with complex chronic diseases, as well as improved medication compliance and symptom management.

Equitable resourcing of primary health care in remote communities in Australia's Northern Territory: a pilot study.

BACKGROUND: Improved Primary Health Care (PHC) utilisation is central to reducing the unacceptable morbidity and mortality rates characterising populations living in remote communities. Despite poorer health, significant inequity characterises the funding of PHC services in Australia's most remote areas. This pilot study sought to ascertain what funding is required to ensure equitable access to sustainable, high quality primary health care irrespective of geographical remoteness of communities. METHODS: High performing remote Primary Health Care (PHC) services were selected using improvement measures from the Australian Primary Care Collaboratives Program and validated by health experts. Eleven PHC services provided data relating to the types of services provided, level of service utilisation, human resources, operating and capital expenses. A further four services that provide visiting PHC to remote communities provided information on the level and cost of these services. Demographic data for service catchment areas (including estimated resident population, age, Indigenous status, English spoken at home and workforce participation) were obtained from the Australian Bureau of Statistics 2011 census. Formal statistical inference (p-values) were derived in the linear regression via the nonparametric bootstrap. RESULTS: A direct linear relationship was observed between the total cost of resident PHC services and population, while cost per capita decreased with increasing population. Services in smaller communities had a higher number of nursing staff per 1000 residents and provided more consultations per capita than those in larger communities. The number of days of visiting services received by a community each year also increased with population. A linear regression with bootstrapped statistical inference predicted a significant regression equation where the cost of resident services per annum is equal to $1,251,893.92 + ($1698.83 x population) and the cost of resident and visiting services is equal to $1,378,870.85 + ($2600.00 x population). CONCLUSIONS: The research findings provide empirical evidence based on real costs to guide funding for remote PHC services that takes into account the safety and equity requirements for a minimum viable service. This method can be used as a transparent, coordinated approach to ensure the equitable delivery of sustainable, high quality PHC in remote communities. This will in turn contribute to improved health outcomes.

Measuring the attractiveness of rural communities in accounting for differences of rural primary care workforce supply.

INTRODUCTION: Many rural communities continue to experience an undersupply of primary care doctor services. While key professional factors relating to difficulties of recruitment and retention of rural primary care doctors are widely identified, less attention has been given to the role of community and place aspects on supply. Place-related attributes contribute to a community's overall amenity or attractiveness, which arguably influence both rural recruitment and retention relocation decisions of doctors. This bi-national study of Australia and the USA, two developed nations with similar geographic and rural access profiles, investigates the extent to which variations in community amenity indicators are associated with spatial variations in the supply of rural primary care doctors. METHODS: Measures from two dimensions of community amenity: geographic location, specifically isolation/proximity; and economics and sociodemographics were included in this study, along with a proxy measure (jurisdiction) of a third dimension, environmental amenity. Data were chiefly collated from the American Community Survey and the Australian Census of Population and Housing, with additional calculated proximity measures. Rural primary care supply was measured using provider-to-population ratios in 1949 US rural counties and in 370 Australian rural local government areas. Additionally, the more sophisticated two-step floating catchment area method was used to measure Australian rural primary care supply in 1116 rural towns, with population sizes ranging from 500 to 50 000. Associations between supply and community amenity indicators were examined using Pearson's correlation coefficients and ordinary least squares multiple linear regression models. RESULTS: It was found that increased population size, having a hospital in the county, increased house prices and affluence, and a more educated and older population were all significantly associated with increased workforce supply across rural areas of both countries. While remote areas were strongly linked with poorer supply in Australia, geographical remoteness was not significant after accounting for other indicators of amenity such as the positive association between workforce supply and coastal location. Workforce supply in the USA was negatively associated with fringe rural area locations adjacent to larger metropolitan areas and characterised by long work commutes. The US model captured 49% of the variation of workforce supply between rural counties, while the Australian models captured 35-39% of rural supply variation. CONCLUSIONS: These data support the idea that the rural medical workforce is maldistributed with a skew towards locating in more affluent and educated areas, and against locating in smaller, poorer and more isolated rural towns, which struggle to attract an adequate supply of primary care services. This evidence is important in understanding the role of place characteristics and rural population dynamics in the recruitment and retention of rural doctors. Future primary care workforce policies need to place a greater focus on rural communities that, for a variety of reasons, may be less attractive to doctors looking to begin or remain working there.

Is remote health different to rural health?

INTRODUCTION: The study identifies the differences between rural health and remote health and describes key distinctive characteristics of remote health. METHODS: The study used a mixed method approach of interviews and questionnaires (utilising a Likert scale) with expert stakeholders in rural health and remote health. A total of 45 interviews were conducted with experts selected from every state and territory of Australia. Of these, 41 also completed a questionnaire, of which 21 respondents were female, 20 identified predominantly as academics while six, five and five indicated that they worked in policy, advocacy and as a practitioner, respectively. Thirteen worked in rural health, 10 in remote health and 18 in both; 23 participants worked in Aboriginal and/or Torres Strait Islander health. Respondents had worked in rural health or remote health for mean periods of 13 years and 8 years, respectively. RESULTS: Means for each of 15 characteristics indicated that respondents viewed each characteristic as different in remote health compared to rural health. Interviews confirmed these perceived differences, with particular emphasis on isolation, poor service access and the relatively high proportion of Indigenous residents. Those working in remote and Aboriginal health most strongly identified these distinctions. CONCLUSIONS: A detailed and rigorous description of the discipline of remote health, and the differences to rural health, will assist policymakers, health planners, teachers and researchers to develop an appropriate workforce, models of service delivery and policy that are relevant, appropriate and effective in order to ensure a more equitable distribution of resources and health outcomes across this vast continent.

Index of Access: a new innovative and dynamic tool for rural health service and workforce planning.

Objective Improving access to primary health care (PHC) remains a key issue for rural residents and health service planners. This study aims to show that how access to PHC services is measured has important implications for rural health service and workforce planning. Methods A more sophisticated tool to measure access to PHC services is proposed, which can help health service planners overcome the shortcomings of existing measures and long-standing access barriers to PHC. Critically, the proposed Index of Access captures key components of access and uses a floating catchment approach to better define service areas and population accessibility levels. Moreover, as demonstrated through a case study, the Index of Access enables modelling of the effects of workforce supply variations. Results Hypothetical increases in supply are modelled for a range of regional centres, medium and small rural towns, with resulting changes of access scores valuable to informing health service and workforce planning decisions. Conclusions The availability and application of a specific 'fit-for-purpose' access measure enables a more accurate empirical basis for service planning and allocation of health resources. This measure has great potential for improved identification of PHC access inequities and guiding redistribution of PHC services to correct such inequities. What is known about the topic? Resource allocation and health service planning decisions for rural and remote health settings are currently based on either simple measures of access (e.g. provider-to-population ratios) or proxy measures of access (e.g. standard geographical classifications). Both approaches have substantial limitations for informing rural health service planning and decision making. What does this paper add? The adoption of a new improved tool to measure access to PHC services, the Index of Access, is proposed to assist health service and workforce planning. Its usefulness for health service planning is demonstrated using a case study to hypothetically model changes in rural PHC workforce supply. What are the implications for practitioners? The Index of Access has significant potential for identifying how rural and remote primary health care access inequities can be addressed. This critically important information can assist health service planners, for example those working in primary health networks, to determine where and how much redistribution of PHC services is needed to correct existing inequities.

Improving the quality of life of palliative and chronic disease patients and carers in remote Australia with the establishment of a day respite facility.

BACKGROUND: In the Northern Territory (NT) there is a lack of respite services available to palliative care patients and their families. Indigenous people in the NT suffer substantially higher rates of poorly controlled chronic disease and premature mortality associated with poor heath than the Australian population as a whole. The need for a flexible, community based, culturally appropriate respite service in Alice Springs was identified and, after the service had been operating for 10 months, a qualitative evaluation was conducted to investigate the experiences of people involved in the use and operation of the service. METHODS: Semi-structured interviews were conducted with patients, carers, referrers, and stakeholders. A total of 20 people were interviewed. Interpretative Phenomenological Analysis was used inductively to analyse the transcripts. Two case studies are also described which illustrate in greater detail the impact the respite service has had on people's lives. RESULTS: From the semi-structured interviews, two superordinate themes along with a number of sub themes were developed. The two superordinate themes described both "The Big Picture" considerations as well as the pragmatics of "Making the Service Work". The sub themes highlighted issues such as being stuck at home and the relief that respite provided. The case studies poignantly illustrate the difference the respite service made to the quality of life of two patients. DISCUSSION: The findings clearly indicate an improvement in quality of life for respite patients and their carers. The respite service enabled improved care coordination of chronic and complex patients as well as improved medication compliance and symptom management. As a result of this evaluation a number of recommendations to continue and improve the service are provided.

How good are routinely collected primary healthcare data for evaluating the effectiveness of health service provision in a remote Aboriginal community?

INTRODUCTION: Evaluation and monitoring of primary health care requires the establishment and maintenance of an appropriate data system. This study reviews the application and effectiveness of the Communicare data management system in the delivery of health services to the Fitzroy Valley in the Kimberley region of Western Australia. METHODS: Key demographic fields (sex, date of birth and Aboriginal status) were examined for completeness (whether the date fields were all completed and correct when compared with the paper file) while the 'conditions' field was examined for accuracy. Three chronic diseases (diabetes, hypertension and chronic kidney disease) in adults and age-specific incidence for four acute diseases (otitis media, gastroenteritis, lower respiratory tract infection and skin infection) in children were included. RESULTS: Completeness of chosen demographic fields was 100% for date of birth and sex and 98% for Aboriginal status. Chronic conditions matched the paper files 100%, while the recording of acute conditions was incomplete. Among older adults (≥55 years) the prevalences of diabetes, chronic kidney disease and hypertension were 43%, 42% and 39% respectively. Age-specific incidence of acute conditions was highest in the 0-4 years age group where 25% had had at least one episode of otitis media and 20% at least one episode of skin infection. CONCLUSIONS: The recording of demographic and chronic disease data was complete, but lower for acute conditions. Routinely collected data have a number of limitations, but nonetheless are a feasible way to establish population health indices, particularly for chronic diseases for this remote health service with minimal expenditure and effort. These rates provide useful baselines for monitoring and evaluating the impact of service delivery on health outcomes. This audit provides an indication of the accuracy of routinely collected data in the electronic system compared to the paper medical records, which have traditionally been considered the gold standard. Data collected on chronic disease information were accurate and clinically useful for health service planning, monitoring and evaluation. Acute disease data were not accurate enough to be clinically useful.

Ensuring equity of access to primary health care in rural and remote Australia - what core services should be locally available?

INTRODUCTION: Australians in rural and remote areas experience poorer health status compared with many metropolitan residents, due partly to inequitable access to primary health care (PHC) services. Building on recent research that identified PHC services which all Australians should be able to access regardless of where they live, this paper aims to define the population thresholds governing which PHC services would be best provided by a resident health worker, and to outline attendant implementation issues. METHODS: A Delphi method comprising panellists with expertise in rural, remote and/or Indigenous PHC was used. Five population thresholds reflecting Australia's diverse rural and remote geography were devised. Panellists participated in two electronic surveys. Using a Likert scale, they were asked at what population threshold each PHC service should be provided by a resident health worker. A follow-up focus group identified important underlying principles which guided the consensus process. RESULTS: Response rates were high. The population thresholds for core PHC services provided by a resident worker were less in remote communities compared with rural communities. For example, the population threshold for 'care of the sick and injured,' was ≤100 for remote compared with 101-500 for rural communities. For 'mental health', 'maternal/child health', 'sexual health' and 'public health' services in remote communities the population threshold was 101-500, compared to 501-1000 for rural communities. Principles underpinning implementation included the fundamental importance of equity; consideration of social determinants of health; flexibility, effective expenditure of resources, tailoring services to ensure consumer acceptability, prioritising services according to need, and providing services as close to home as possible. CONCLUSION: This research can assist policy makers and service planners to determine the population thresholds at which PHC services should be delivered by a resident health worker, to allocate resources and provide services more equitably, and inform consumers about PHC services they can reasonably expect to access in their community. This framework assists in developing a systematic approach to strategies seeking to address existing rural-urban health workforce maldistribution, including the training of generalists as opposed to specialists, and providing necessary infrastructure in communities most in need.

Re-orienting a remote acute care model towards a primary health care approach: key enablers.

INTRODUCTION: The objective of this study was to identify the key enablers of change in re-orienting a remote acute care model to comprehensive primary healthcare delivery. The setting of the study was a 12-bed hospital in Fitzroy Crossing, Western Australia. METHODS: Individual key informant, in-depth interviews were completed with five of six identified senior leaders involved in the development of the Fitzroy Valley Health Partnership. Interviews were recorded and transcripts were thematically analysed by two investigators for shared views about the enabling factors strengthening primary healthcare delivery in a remote region of Australia. RESULTS: Participants described theestablishment of a culturally relevant primary healthcare service, using a community-driven, 'bottom up' approach characterised by extensive community participation. The formal partnership across the government and community controlled health services was essential, both to enable change to occur and to provide sustainability in the longer term. A hierarchy of major themes emerged. These included community participation, community readiness and desire for self-determination; linkages in the form of a government community controlled health service partnership; leadership; adequate infrastructure; enhanced workforce supply; supportive policy; and primary healthcare funding. CONCLUSIONS: The strong united leadership shown by the community and the health service enabled barriers to be overcome and it maximised the opportunities provided by government policy changes. The concurrent alignment around a common vision enabled implementation of change. The key principle learnt from this study is the importance of community and health service relationships and local leadership around a shared vision for the re-orientation of community health services.

What core primary health care services should be available to Australians living in rural and remote communities?

BACKGROUND: Australians living in rural and remote areas experience poorer access to primary health care (PHC) and poorer health outcomes compared to metropolitan populations. Current health reform in Australia aims to ensure all Australians, regardless of where they live, have access to essential PHC services. However, at a national level policy makers and health planners lack an evidence-based set of core PHC services to assist in implementing this goal. METHODS: A Delphi method was used to reach consensus on an evidence-based list of core PHC services to which all Australians should have access and their necessary support functions. Experts in rural and remote and/or Indigenous PHC, including policy-makers, academics, clinicians and consumers, were invited to consider a list of core services derived from the literature. RESULTS: Thirty nine experts agreed to participate. After three survey rounds there was a strong consensus (≥80% agreement) on core PHC services namely; 'care of the sick and injured', 'mental health', 'maternal/child health', 'allied health', 'sexual/reproductive health', 'rehabilitation', 'oral/dental health' and 'public health/illness prevention'; and on the PHC support functions of; 'management/governance/leadership', 'coordination', 'health infrastructure', 'quality systems', 'data systems', 'professional development' and 'community participation'. Themes emerging from qualitative data included challenges in providing equitable PHC in rural and remote areas, the importance of service coordination and diverse strategies to overcome access barriers. CONCLUSION: This study identifies a basket of PHC services that consumers in rural and remote communities can expect to access. It provides rigorously derived evidence that will contribute to a more systematic approach to PHC service planning and availability and will assist policy makers in the allocation of scarce resources necessary to improve the health outcomes of residents of rural and remote areas.

The value of survival analyses for evidence-based rural medical workforce planning.

BACKGROUND: Globally, abundant opportunities exist for policymakers to improve the accessibility of rural and remote populations to primary health care through improving workforce retention. This paper aims to identify and quantify the most important factors associated with rural and remote Australian family physician turnover, and to demonstrate how evidence generated by survival analysis of health workforce data can inform rural workforce policy making. METHODS: A secondary analysis of longitudinal data collected by the New South Wales (NSW) Rural Doctors Network for all family physicians working in rural or remote NSW between January 1(st) 2003 and December 31(st) 2012 was performed. The Prentice, Williams and Peterson statistical model for survival analysis was used to identify and quantify risk factors for rural NSW family physician turnover. RESULTS: Multivariate modelling revealed a higher (2.65-fold) risk of family physician turnover in small, remote locations compared to that in small closely settled locations. Family physicians who graduated from countries other than Australia, United Kingdom, United States of America, New Zealand, Ireland, and Canada also had a higher (1.45-fold) risk of turnover compared to Australian trained family physicians. This was after adjusting for the effects of conditional registration. Procedural skills and public hospital admitting rights were associated with a lower risk of turnover. These risks translate to a predicted median survival of 11 years for Australian-trained family physician non-proceduralists with hospital admitting rights working in small coastal closely settled locations compared to 3 years for family physicians in remote locations. CONCLUSIONS: This study provides rigorous empirical evidence of the strong association between population size and geographical location and the retention of family physicians in rural and remote NSW. This has important policy ramifications since retention grants for rural and remote family physicians in Australia are currently based on a geographical 'remoteness' classification rather than population size. In addition, this study demonstrates how survival analysis assists health workforce planning, such as through generating evidence to assist in benchmarking 'reasonable' lengths of practice in different geographic settings that might guide service obligation requirements.