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.

Family Medicine Residencies: How Rural Training Exposure in GME Is Associated With Subsequent Rural Practice.

Background: Rural US populations face a chronic shortage of physicians and an increasing gap in life expectancy compared to urban US populations, creating a need to understand how to increase residency graduates' desire to practice in such areas. Objective: This study quantifies associations between the amount of rural training during family medicine (FM) residencies and subsequent rural work. Methods: American Medical Association (AMA) Masterfile, AMA graduate medical education (GME) supplement, American Board of Family Medicine certification, Accreditation Council for Graduate Medical Education (ACGME), and Centers for Medicare and Medicaid Services hospital costs data were merged and analyzed. Multiple logistic regression measured associations between rural training and rural or urban practice in 2018 by all 12 162 clinically active physicians who completed a US FM residency accredited by the ACGME between 2008 and 2012. Analyses adjusted for key potential confounders (age, sex, program size, region, and medical school location and type) and clustering by resident program. Results: Most (91%, 11 011 of 12 162) residents had no rural training. A minority (14%, 1721 of 12 162) practiced in a rural location in 2018. Residents with no rural training comprised 80% (1373 of 1721) of those in rural practice in 2018. Spending more than half of residency training months in rural areas was associated with substantially increased odds of rural practice (OR 5.3-6.3). Only 4% (424 of 12 162) of residents spent more than half their training in rural locations, and only 5% (26 of 436) of FM training programs had residents training mostly in rural settings or community-based clinics. Conclusions: There is a linear gradient between increasing levels of rural exposure in FM GME and subsequent rural work.

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.

Outcomes of a 1-year longitudinal integrated medical clerkship in small rural Victorian communities.

INTRODUCTION: Access to medical services for rural communities is poorer than for metropolitan communities in many parts of the world. One of the strategies to improve rural medical workforce has been rural clinical placements for undergraduate medical students. This study explores the workforce outcomes of one model of such placements - the longitudinal integrated clerkship (LIC) - delivered in year 4, the penultimate year of the medical course, as part of the rural programs delivered by a medical school in Victoria, Australia. The LIC involved student supervision under a parallel consulting model with experienced rural generalist doctors for a whole year in small community rural general practices. METHODS: This study aimed to compare the work locations (regional or more rural), following registration as a medical practitioner, of medical students who had completed 1 year of the LIC, with, first, students who had other types of rural training of comparable duration elsewhere, and second, students who had no rural training. Study participants commenced their medical degree after 2004 and had graduated between 2008 and 2016 and thus were in postgraduate year 1-9 in 2017 when evaluated. Information about the student training location(s), and duration, type and timing of training, was prospectively collected from university administrative systems. The outcome of interest was the main work location in 2017, obtained from the Australian Health Practitioner Regulation Agency's public website. RESULTS: Students who had undertaken the year 4 LIC along with additional rural training in years 3 and/or 5 were more likely than all other groups to be working in smaller regional or rural towns, where workforce need is greatest (relative risk ratio (RRR) 5.62, 95% confidence interval (CI) 2.81-11.20, compared with those having metropolitan training only). Non-LIC training of similar duration in rural areas was also significantly associated, but more weakly, with smaller regional work location (RRR 2.99, 95%CI 1.87-4.77). Students whose only rural training was the year 4 LIC were not significantly associated with smaller regional work location (RRR 1.72, 95%CI 0.59-5.04). Overall, after accounting for both LIC and non-LIC rural training exposure, rural work after graduation was also consistently positively associated with rural background, being an international student and having a return of service obligation under a bonded program as a student. CONCLUSION: This study demonstrates the value of rural LICs, coupled with additional rural training, in contributing to improving Australia's medical workforce distribution. Whilst other evidence has already demonstrated positive educational outcomes for doctors who participate in rural LIC placements, this is the first known study of work location outcomes. The study provides evidence that expanding this model of rural undergraduate education may lead to a better geographically distributed medical workforce.

Reviewing reliance on overseas-trained doctors in rural Australia and planning for self-sufficiency: applying 10 years' MABEL evidence.

BACKGROUND: The capacity for high-income countries to supply enough locally trained doctors to minimise their reliance on overseas-trained doctors (OTDs) is important for equitable global workforce distribution. However, the ability to achieve self-sufficiency of individual countries is poorly evaluated. This review draws on a decade of research evidence and applies additional stratified analyses from a unique longitudinal medical workforce research program (the Medicine in Australia: Balancing Employment and Life survey (MABEL)) to explore Australia's rural medical workforce self-sufficiency and inform rural workforce planning. Australia is a country with a strong medical education system and extensive rural workforce policies, including a requirement that newly arrived OTDs work up to 10 years in underserved, mostly rural, communities to access reimbursement for clinical services through Australia's universal health insurance scheme, called Medicare. FINDINGS: Despite increases in the number of Australian-trained doctors, more than doubling since the late 1990s, recent locally trained graduates are less likely to work either as general practitioners (GPs) or in rural communities compared to local graduates of the 1970s-1980s. The proportion of OTDs among rural GPs and other medical specialists increases for each cohort of doctors entering the medical workforce since the 1970, peaking for entrants in 2005-2009. Rural self-sufficiency will be enhanced with policies of selecting rural-origin students, increasing the balance of generalist doctors, enhancing opportunities for remaining in rural areas for training, ensuring sustainable rural working conditions and using innovative service models. However, these policies need to be strongly integrated across the long medical workforce training pathway for successful rural workforce supply and distribution outcomes by locally trained doctors. Meanwhile, OTDs substantially continue to underpin Australia's rural medical service capacity. The training pathways and social support for OTDs in rural areas is critical given their ongoing contribution to Australia's rural medical workforce. CONCLUSION: It is essential for Australia to monitor its ongoing reliance on OTDs in rural areas and be considerate of the potential impact on global workforce distribution.

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.

Demonstrating a new approach to planning and monitoring rural medical training distribution to meet population need in North West Queensland.

BACKGROUND: Improving the health of rural populations requires developing a medical workforce with the right skills and a willingness to work in rural areas. A novel strategy for achieving this aim is to align medical training distribution with community need. This research describes an approach for planning and monitoring the distribution of general practice (GP) training posts to meet health needs across a dispersed geographic catchment. METHODS: An assessment of the location of GP registrars in a large catchment of rural North West Queensland (across 11 sub-regions) in 2017 was made using national workforce supply, rurality and other indicators. These included (1): Index of Access -spatial accessibility (2); 10-year District of Workforce Shortage (DWS) (3); MMM (Modified Monash Model) rurality (4); SEIFA (Socio-Economic Indicator For Areas) (5); Indigenous population and (6) Population size. Distribution was determined relative to GP workforce supply measures and population health needs in each health sub-region of the catchment. An expert panel verified the approach and reliability of findings and discussed the results to inform planning. RESULTS: 378 registrars and 582 supervisors were well-distributed in two sub-regions; in contrast the distribution was below expected levels in three others. Almost a quarter of registrars (24%) were located in the poorest access areas (Index of Access) compared with 15% of the population located in these areas. Relative to the population size, registrars were proportionally over-represented in the most rural towns, those consistently rated as DWS or those with the poorest SEIFA value and highest Indigenous proportion. CONCLUSIONS: Current regional distribution was good, but individual town-level data further enabled the training provider to discuss the nuance of where and why more registrars (or supervisors) may be needed. The approach described enables distributed workforce planning and monitoring applicable in a range of contexts, with increased sensitivity for registrar distribution planning where most needed, supporting useful discussions about the potential causes and solutions. This evidence-based approach also enables training organisations to engage with local communities, health services and government to address the sustainable development of the long-term GP workforce in these towns.

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.

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.

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.

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.

Helping policy-makers address rural health access problems.

This paper provides a comprehensive review of the key dimensions of access and their significance for the provision of primary health care and a framework that assists policy-makers to evaluate how well policy targets the dimensions of access. Access to health care can be conceptualised as the potential ease with which consumers can obtain health care at times of need. Disaggregation of the concept of access into the dimensions of availability, geography, affordability, accommodation, timeliness, acceptability and awareness allows policy-makers to identify key questions which must be addressed to ensure reasonable primary health care access for rural and remote Australians. Evaluating how well national primary health care policies target these dimensions of access helps identify policy gaps and potential inequities in ensuring access to primary health care. Effective policies must incorporate the multiple dimensions of access if they are to comprehensively and effectively address unacceptable inequities in health status and access to basic health services experienced by rural and remote Australians.