Inequitable distribution of general practitioners in Australia: estimating need through the Robin Hood Index

Equity in the Allocation of General Practitioner Resources in Mainland China from 2012 to 2019

BACKGROUND

General practitioners (GPs) play a vital role in primary health care services and promoting the health equity of residents, but there is a paucity of evidence on equity in the allocation of GP resources in mainland China. This study explores equity in the allocation of GP resources from 2012 to 2019 in mainland China.

METHODS

We used GP data from 31 provinces, autonomous regions, and municipalities in mainland China. Lorenz curves, Gini coefficients, Theil indices, and agglomeration degree were used to analyze the data.

RESULTS

The total number of GPs in China was 365,082 in 2019, which corresponded to 2.61 GPs per 10,000 residents and accounted for 9.44% of the total number of practicing doctors in 2019. From 2012 to 2019, the Gini coefficient of GP allocation based on population decreased from 0.3123 to 0.1872. However, the Gini coefficient based on geographical area was maintained at 0.7108-0.7424. The Theil index of GP allocation based on population decreased from 0.0742 to 0.0270, but GP allocation based on geographical area was maintained at 0.5765-0.6898. The intra-regional contribution rates were higher than the inter-regional rates. The agglomeration degree based on geographical area and population decreased in the eastern region but increased in the central and western regions.

CONCLUSIONS

The number of Chinese GPs has increased rapidly in recent years, but the distribution of GPs across China is uneven. In the western and middle regions, there is a relative shortage. Equity in the allocation of GP resources based on population was far greater than that based on geographical area. In the future, the tough issue of inequitable GP resource allocation should be resolved by comprehensive measures from a multidisciplinary perspective.

Bayesian estimation of the effect of health inequality in disease detection

BACKGROUND

Measuring health inequality is essential to ensure that everyone has equal accessibility to health care. Studies in the past have continuously presented and showed areas or groups of people affected by various inequality in accessing the health resources and services to help improve this matter. Alongside, disease prevention is as important to minimise the disease burden and improve health and quality of life. These aspects are interlinked and greatly contributes to one's health.

METHOD

In this study, the Gini coefficient and Lorenz curve are used to give an indication of the overall health inequality. The impact of this inequality in granular level is demonstrated using Bayesian estimation for disease detection. The Bayesian estimation used a two-component modelling approach that separates the case detection process and incidence rate using a mixed Poisson distribution while capturing underlying spatio-temporal characteristics. Bayesian model averaging is used in conjunction with the two-component modelling approach to improve the accuracy of estimates by incorporating many candidate models into the analysis instead of using fixed component models. This method is applied to an infectious disease, influenza, in Victoria, Australia between 2013 and 2016 and the corresponding primary health care of the state.

RESULT

There is a relatively equal distribution of health resources and services pertaining to general practitioners (GP) and GP clinics in Victoria, Australia. Roughly 80 percent of the population shares 70 percent of the number of GPs and GP clinics. The Bayesian estimation with model averaging revealed that access difficulty to health services impacts both case detection probability and incidence rate. Minimal differences are recorded in the observed and estimated incidence of influenza cases considering social deprivation factors. In most years, areas in Victoria's southwest and eastern parts have potential under-reported cases consistent with their relatively lower number of GP or GP clinics.

CONCLUSION

The Bayesian model estimated a slight discrepancy between the estimated incidence and the observed cases of influenza in Victoria, Australia in 2013-2016 period. This is consistent with the relatively equal health resources and services in the state. This finding is beneficial in determining areas with potential under-reported cases and under-served health care. The proposed approach in this study provides insight into the impact of health inequality in disease detection without requiring costly and time-extensive surveys and relying mainly on the data at hand. Furthermore, the application of Bayesian model averaging provided a flexible modelling framework that allows covariates to move between case detection and incidence models.

The degree of equity and coupling coordination of staff in primary medical and health care institutions in China 2013-2019

Background

Primary medical and health care facilities are the first lines of defense for the health of population. This study aims to evaluate the current state and trend of equity and coupling coordination degree (CCD) of staff in primary medical and health care institutions (SPMHCI) based on the quantity and living standards of citizens in China 2013–2019. The research findings are expected to serve as a guideline for the allocation of SPMHCI.

Methods

The data used in this study including the quantity and living standards of citizens, as well as the number of SPMHCI in 31 provincial administrative regions of China, were obtained from the China Statistical Yearbook and the China Health Statistics Yearbook. The equity and CCD for SPMHCI were analyzed by using the Gini coefficient and the CCD model, and the Grey forecasting model GM (1, 1) (GM) was used to predict the equity and CCD from 2020 to 2022.

Results

Between 2013 and 2019, the number of SPMHCI increased from 3.17 million to 3.50 million, and the population-based Gini coefficient declined from 0.0704 to 0.0513. In urban and rural areas, the Gini coefficients decreased from 0.1185 and 0.0737 to 0.1025 and 0.0611, respectively. The CCD between SPMHCI and citizens’ living standards (CLS) changed from 0.5691, 0.5813, 0.5818 to 0.5650, 0.5634, 0.6088 at national, urban, and rural levels, respectively. The forecasting results of GM revealed that at the national, urban and rural levels from 2020 to 2022, the Gini coefficient would rise at a rate of − 13.53, − 5.77%, and − 6.10%, respectively, while the CCD would grow at a rate of - 0.89, 1.06, and 0.87%, respectively.

Conclusions

In China, the number of SPMHCI has increased significantly, with an equitable allocation based on the population. The interaction between SPMHCI and CLS is sufficient, but the degree of mutual promotion is moderate. The government could optimize SPMHCI and improve the chronic disease management services to improve CLS and to ensure the continued operation of primary medical and health care institutions in urban areas.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12939-021-01572-6.

Trend and equity of general practitioners' allocation in China based on the data from 2012-2017

BACKGROUND

General practitioners are the gatekeepers of the health of the residents. This study aims to evaluate the trend and equity of general practitioners' allocation from 2012 to 2017 in China and provide a reference for regional health planning and rational distribution of general practitioners.

METHODS

We extracted the data of general practitioners from 22 provinces, 5 autonomous regions, and 4 municipalities of mainland China. The population and geographical area were taken from the China Statistical Yearbook. The general practitioners' data were taken from the China Health Statistical Yearbook. Lorenz curve, Gini coefficient, and agglomeration degree were used to analyze the data.

RESULTS

The number of general practitioners was 252,717 in 2017, which equates to 1.82 per 10,000 residents, and accounts for 7.45% of the total number of practicing (assistant) doctors. From 2012 to 2017, the population-based Gini coefficient for general practitioners reduced from 0.31 to 0.24, while the geographical area-based Gini coefficient remained unchanged at 0.73. The agglomeration degree based on population increased from 0.72 to 0.73 in the western region including Tibet (0.403) and Shaanxi (0.513). Moreover, in the eastern region the agglomeration degree reduced from 1.477 to 1.329. In the middle region it rose from 0.646 to 0.802. The agglomeration degree based on the geographical area in the western region increased from 0.270 to 0.277 while the values in Tibet, Qinghai, Xinjiang were less than 0.1. In the eastern region, it reduced from 1.447 to 1.329. It increased from 1.149 to 1.423 in the middle region.

CONCLUSIONS

The number of general practitioners has increased significantly in China. It has a fair allocation based on population. However, the equity based on geographical area is low and uneven in different regions with large regional differences. In the western region, there is an allocation shortage with respect to population and geographical area. Concerned departments should establish and improve the incentive and performance appraisal mechanisms of general practitioners. The Internet + should be used to empower their service capacity and efficiency. The educational input should be increased for the western region and government should encourage the eastern region to support the western region.

Predicting general practitioner utilisation at a small area level across Western Australia

Equitable delivery of GP services is a key goal in universal healthcare systems. In Australia, information to evaluate equitable delivery is limited, especially at finer geographic scales, leaving an information void that needs to be filled to inform, prioritise and target interventions. To fill this void, GP utilisation was estimated by combining responses on GP utilisation from a national survey differentiated by demographic and area-based socioeconomic and remoteness characteristics with similar characteristics represented geographically at a fine scale. These estimates were then compared to actual GP utilisation to evaluate their predictive reliability. Comparable estimates were found in the greater metropolitan area, with 76% of areas having estimated GP utilisation within ±10% of actual utilisation. Larger discrepancies were found as areas became remoter, with 84% of areas reporting estimated utilisation that was higher than actual utilisation. Comparing the geographic differences between estimated and actual utilisation allowed us to examine the reliability of our methodology. Given the identified limitations, a proxy for GP utilisation at a small area level can be created, a dataset that is not currently published at this geography. This approach has the potential to be applied Australia-wide, providing another valuable tool to evaluate the equitable delivery of primary health care nationally.

Widening disparity in the geographic distribution of pediatricians in Japan

BACKGROUND

The shortage of physicians in Japan is a serious concern, particularly in specialties like pediatrics. The purpose of this study was to investigate recent changes in the geographic distribution of pediatricians and the factors underlying this change.

METHODS

We investigated the numerical changes in the pediatrician workforce (2002 to 2007) per 100,000 of the population under the age of 15 years in 369 secondary medical areas throughout Japan, using attributive variables such as population size, social and economic status, and pediatric service delivery. We performed principal component analysis and multiple regression analysis.

RESULTS

We obtained two principal components: one that reflected the degree of urbanization and another that reflected the volume of pediatric service delivery. Only the first component score was positively correlated with an increased pediatrician workforce per 100,000 of the population under the age of 15 years. We classified the secondary medical areas into four groups using component scores. The increase in pediatrician workforce during this period was primarily absorbed into the two groups with higher levels of urbanization, whereas the two rural groups exhibited little increase. Pediatricians aged 50 to 59 years increased in all four groups, whereas pediatricians aged 30 to 39 years decreased in the two rural groups and increased in the two urban groups.

CONCLUSIONS

The trends of the pediatrician workforce increase generally kept pace with urbanization, but were not associated with the original pediatrician workforce supply. The geographic distribution of pediatricians showed rapid concentration in urban areas. This trend was particularly pronounced among female pediatricians and those aged 30 to 39 years. Given that aging pediatricians in rural areas are not being replaced by younger doctors, these areas will likely face new crises when senior physicians retire.

Measuring inequalities in the distribution of health workers: the case of Tanzania

BACKGROUND

The overall human resource shortages and the distributional inequalities in the health workforce in many developing countries are well acknowledged. However, little has been done to measure the degree of inequality systematically. Moreover, few attempts have been made to analyse the implications of using alternative measures of health care needs in the measurement of health workforce distributional inequalities. Most studies have implicitly relied on population levels as the only criterion for measuring health care needs. This paper attempts to achieve two objectives. First, it describes and measures health worker distributional inequalities in Tanzania on a per capita basis; second, it suggests and applies additional health care needs indicators in the measurement of distributional inequalities.

METHODS

We plotted Lorenz and concentration curves to illustrate graphically the distribution of the total health workforce and the cadre-specific (skill mix) distributions. Alternative indicators of health care needs were illustrated by concentration curves. Inequalities were measured by calculating Gini and concentration indices.

RESULTS

There are significant inequalities in the distribution of health workers per capita. Overall, the population quintile with the fewest health workers per capita accounts for only 8% of all health workers, while the quintile with the most health workers accounts for 46%. Inequality is perceptible across both urban and rural districts. Skill mix inequalities are also large. Districts with a small share of the health workforce (relative to their population levels have an even smaller share of highly trained medical personnel. A small share of highly trained personnel is compensated by a larger share of clinical officers (a middle-level cadre) but not by a larger share of untrained health workers. Clinical officers are relatively equally distributed. Distributional inequalities tend to be more pronounced when under-five deaths are used as an indicator of health care needs. Conversely, if health care needs are measured by HIV prevalence, the distributional inequalities appear to decline.

CONCLUSION

The measure of inequality in the distribution of the health workforce may depend strongly on the underlying measure of health care needs. In cases of a non-uniform distribution of health care needs across geographical areas, other measures of health care needs than population levels may have to be developed in order to ensure a more meaningful measurement of distributional inequalities of the health workforce.

Method: Factors associated with bulk billing: experience from a general practitioners' survey in New South Wales

OBJECTIVE

To assess whether some demographic and practice characteristics of general practitioners (GPs) are associated with the use of bulk billing.

METHODS

A cross-sectional postal survey was conducted in late 2002 with a 15% stratified random sample, based on sex and area of practice, of currently practising GPs in New South Wales. Multinomial logistic regression was used to look at GPs' characteristics associated with their self-reported use of bulk billing.

RESULTS

Of the 494 GPs who participated in the study, 44% bulk billed for all patient consultations, 34% for selective patients, while 22% did not bulk bill for any patient. Multivariate analysis revealed that GPs practising in metropolitan areas were six times more likely to bulk bill for all patients compared with GPs in rural areas (OR 6.7, 95% CI 3.8-11.9). Overseas-trained GPs were twice as likely to bulk bill for all patients compared with locally trained GPs (OR 2.3, 95% CI 1.2-4.3). The likelihood of bulk billing for all patients also increased with an increase in GPs' caseload.

CONCLUSIONS

This paper discusses some of the policy and programmatic implications of the changing pattern of bulk billing. Special efforts are needed to provide increased practice support for GPs in rural and remote areas in order to ensure affordable and accessible GP services.

Characteristics and blood pressure management in patients with and without diabetes in primary care in rural Victoria

AIMS/HYPOTHESIS

This study tested whether diabetic hypertensive patients receive more intensive BP management than hypertensive patients without diabetes.

METHODS

A 12 month retrospective review of BP management was undertaken among 2460 hypertensive patients (335 with diabetes), aged 40-79 years from randomly selected general practices in rural Australia.

RESULTS

Prevalent diagnosed cardiovascular disease (CVD) was commoner among diabetic than non-diabetic patients (27.2% vs. 16.0%, OR 1.82 (1.39-2.39)). The proportion with a BP<130/80 mmHg was low (22.9% vs. 18.6%, p=.069, respectively). BP was monitored more closely among diabetic patients (e.g. quarterly BP measurements in 18.2% vs. 10.5% respectively, p<.001), was treated with more anti-hypertensive agents (1.5+/-1.0 vs. 1.0+/-1.0, p<001) and was more likely to be associated with other CVD medications. Achievement of non-diabetic BP targets was associated with living in the regional centre (vs. smaller rural town: 1.21 (1.02-1.43)) and CVD (1.54 (1.21-1.95)), but not the presence of diabetes (0.94 (0.73-1.19)).

CONCLUSIONS

In this population, hypertension is more aggressively monitored and treated among diabetic than non-diabetic patients, but largely due to their CVD and not to the level recommended in guidelines. Commencing anti-hypertensive treatment earlier (e.g. at diagnosis) and recommending more agents (e.g. in combination) may be needed to improve BP control among diabetic patients on a population basis.

Influence of urbanization level and gross domestic product of counties in Croatia on access to health care

AIM

To examine the association of counties' urbanization level and gross domestic product (GDP) per capita on the access to health care.

METHODS

Counties were divided in two groups according to the urbanization level and GDP per capita in purchasing power standards. The number of physicians per 100,000 inhabitants, the number of physicians in hospitals in four basic specialties, physicians' workload, average duration of working week, the average number of insurants per general practice (GP) team, and the number of inhabitants covered by one internal medicine outpatient clinic were compared between predominantly urban and predominantly rural counties and between richer and poorer counties. Our study included only GP teams and outpatient clinics under the contract with the Croatian Institute for Health Insurance. Data on physicians were collected from the Ministry of Health and Social Welfare, the Croatian Institute for Health Insurance, the Croatian Institute for Public Health, and the Croatian Medical Chamber. Data on the contracts with the Croatian Institute for Health Insurance and health care services provided under these contracts were obtained from the database of the Institute, while population and gross domestic product data were obtained from the Database of the Croatian Institute for Statistics. World Health Organization Health for All Database was used for the international comparison of physician's data.

RESULTS

There was no significant difference in the total number of physicians per 100,000 inhabitants between predominantly urban and predominantly rural counties (206.9+/-41.0 vs 175.4+/-30.3; P=0.067, t test) nor between richer and poorer counties (194.5+/-49.8 vs 187.7+/-25.3; P=0.703, t test). However, there were significantly fewer GPs per 100,000 inhabitants in rural than urban counties (49.0+/-5.5 vs 56.7+/-4.6; P=0.003, t test). GPs in rural counties had more insurants than those working in urban counties (1.749.8+/-172.8 vs 1.540.7+/-106.3; P=0.004, t test). The working week of specialists in the four observed specialties in hospitals was longer than the recommended 48 hours a week.

CONCLUSION

The lack of physicians, especially in primary health care can lead to a reduced access to health care and increased workload of physicians, predominantly in rural counties, regardless of the counties' GDP.

Measuring health inequalities in Albania: a focus on the distribution of general practitioners

BACKGROUND

The health workforce has a dynamically changing nature and the regular documentation of the distribution of health professionals is a persistent policy concern. The aim of the present study was to examine available human medical resources in primary care and identify possible inequalities regarding the distribution of general practitioners in Albania between 2000 and 2004.

METHODS

With census data, we investigated the degree of inequality by calculating relative inequality indices. We plotted the Lorenz curves and calculated the Gini, Atkinson and Robin Hood indices and decile ratios, both before and after adjusting for mortality and consultation rates.

RESULTS

The Gini index for the distribution of general practitioners in 2000 was 0.154. After adjusting for mortality it was 0.126, while after adjusting for consultation rates it was 0.288. The Robin Hood index for 2000 was 11.2%, which corresponds to 173 general practitioners who should be relocated in order to achieve equality. The corresponding figure after adjusting for mortality was 9.2% (142 general practitioners), while after adjusting for consultation rates the number was 20.6% (315). These figures changed to 6.3% (100), 6.3% (115) and 19.8% (315) in 2004.

CONCLUSION

There was a declining trend in the inequality of distribution of general practitioners in Albania between 2000 and 2004. The trend in inequality was apparent irrespective of the relative inequality indicator used. The level of inequality varied depending on the adjustment method used. Reallocation strategies for general practitioners in Albania could be the key in alleviating the inequalities in primary care workforce distribution.

Prevalence of diabetes in rural Victoria

AIMS

To compare the prevalence of diabetes in adults in small and medium sized towns in a part of rural Victoria

MATERIALS AND METHODS

Participants were usual residents, aged >or=25 years, from randomly selected households in the crossroads undiagnosed disease study (CUDS: six small rural towns and their regional center in rural Victoria). Response rates to an initial census at the household and attendance at a subsequent biomedical examination involved were 70% and 61% (1454), respectively. All non-diabetic participants had an oral glucose tolerance test.

RESULTS

Prevalence of diabetes, IGT, IFG were 7.3 (5.5-9.5)%, 6.9 (5.1-9.9)% and 3.2 (2.0-4.7)% respectively in the regional center and 8.9 (6.9-11.1)%, 4.9 (3.5-6.7)%, 3.0 (1.9-4.5)% in the Shire Capitals. Overall, 31/118 (26.3%) of those with diabetes were previously undiagnosed. Most (83.9%) of those with undiagnosed diabetes remembered having been screened for diabetes in the previous 2 years. Overall screening rates for diabetes were higher than across Victoria as a whole.

CONCLUSIONS

The prevalence of diabetes has probably doubled over the last 15 years in this area. Undiagnosed diabetes is less common than expected, possibly as a result of a more vigorous approach to screening in general practice and in spite of the lower numbers of GPs in the area.

Cancer and cancer risk in South Australia: what evidence for a rural-urban health differential?

OBJECTIVE

To determine the extent of evidence for a rural-urban health differential in cancer and cancer risk in South Australia.

DESIGN

Secondary analysis and synthesis of data available between 1977 and 2000 from the publications of the South Australian Cancer Registry and reports of population health surveys carried out by the South Australian Department of Human Services.

RESULTS

The mean annual age-standardised incidence of all forms of cancer combined was about 4% lower for rural residents (265.2 per 100,000 cf. 274.9 per 100,000). Of 31 types of cancer listed, the incidence of three was significantly higher among rural residents, the incidence of eight was significantly higher among urban residents and for 20 types there was no significant difference. Five year case survival for all cancers combined was 52% in both urban and rural residents. Significant survival differences were identified for only 10 cancers and survival for each was higher among urban residents. Melanomas were diagnosed in situ more often in the country, but invasive cases tended to be thicker. There was no rural-urban difference in early detection rates for breast cancer or bladder cancer. There were no substantial reported differences in major risk factors and early detection experiences apart from higher rates of smoking in the country.

CONCLUSIONS

There is little evidence for substantial or systematic differences in risk factors for, and incidence and early detection of cancers between urban and rural South Australia. However, the apparent consistently poorer survival among rural residents warrants further study.

WHAT THIS PAPER ADDS

It is widely reported that the health status of rural Australians is worse than that of their urban counterparts. There is an apparent increasing gradient in mortality from urban to remote areas of Australia. However, this apparent gradient is not evident for all diseases. This paper seeks to answer the question: is there any difference in the cancer disease experience (incidence, survival and early detection) and cancer risk factors between residents of rural and urban South Australia. Cancer registry data indicate that overall, the incidence of cancer is similar in rural and urban South Australia. The findings on survival differentials are of concern. While overall survival rates are very similar in country and city, and this is encouraging, analysis of individual types of cancer raises some concerns. The registry reports that significant differences in survival were only measured for 10 cancers and for all of these rural residents experienced higher mortality rates.

Impact of undergraduate and postgraduate rural training, and medical school entry criteria on rural practice among Australian general practitioners: national study of 2414 doctors

OBJECTIVE

To determine the association between rural undergraduate training, rural postgraduate training and medical school entry criteria favouring rural students, on likelihood of working in rural Australian general practice.

METHODS

National case-control study of 2414 rural and urban general practitioners (GPs) sampled from the Health Insurance Commission database. Participants completed a questionnaire providing information on demographics, current practice location and rural undergraduate and postgraduate experience.

RESULTS

Rural GPs were more likely to report having had any rural undergraduate training [odds ratio (OR) 1.61, 95% confidence interval (CI) 1.32-1.95] than were urban GPs. Rural GPs were much more likely to report having had rural postgraduate training (OR 3.14, 95% CI 2.57-3.83). As the duration of rural postgraduate training increased so did the likelihood of working as a rural GP: those reporting that more than half their postgraduate training was rural were most likely to be rural GPs (OR 10.52, 95% CI 5.39-20.51). South Australians whose final high school year was rural were more likely to be rural GPs (OR 3.18, 95% CI 0.99-10.22).

CONCLUSIONS

Undergraduate rural training, postgraduate training and medical school entry criteria favouring rural students, all are associated with an increased likelihood of being a rural GP. Longer rural postgraduate training is more strongly associated with rural practice. These findings argue for continuation of rural undergraduate training opportunities and rural entry schemes, and an expansion in postgraduate training opportunities for GPs.

Factors associated with rural practice among Australian-trained general practitioners

OBJECTIVE

To determine the factors associated with general practitioners' current practice location, with particular emphasis on rural location.

DESIGN

Observational, retrospective, case-control study using a self-administered questionnaire.

SETTING

Australian general practices in December 2000.

PARTICIPANTS

2414 Australian-trained rural and urban GPs.

MAIN OUTCOME MEASURE

Current urban or rural practice location.

RESULTS

For Australia as a whole, rural GPs were more likely to be male (odds ratio [OR], 1.42; 95% CI, 1.17-1.73), Australian-born (OR, 1.95; 95% CI, 1.55-2.45), and to report attending a rural primary school for "some" (OR, 2.21; 95% CI, 1.69-2.89) or "all" (OR, 2.79; 95% CI, 1.94-4.00) of their primary schooling. Rural GPs' partners or spouses were also more likely to report "some" (OR, 2.75; 95% CI, 2.07-3.66) or "all" (OR, 2.86; 95% CI, 2.02-4.05) rural primary schooling. A rural background in both GP and partner produced the highest likelihood of rural practice (OR, 6.28; 95% CI, 4.26-9.25). For individual jurisdictions, a trend towards more rural GPs being men was only significant in Tasmania. In all jurisdictions except Tasmania and the Northern Territory, rural GPs were more likely to be Australian-born.

CONCLUSIONS

GPs' and their partners' rural background (residence and primary and secondary schooling) influences choice of practice location, with partners' background appearing to exert more influence.

Monitoring and evaluation of human resources for health: an international perspective

BACKGROUND: Despite the undoubted importance of human resources to the functions of health systems, there is little consistency between countries in how human resource strategies are monitored and evaluated. This paper presents an integrated approach for developing an evidence base on human resources for health (HRH) to support decision-making, drawing on a framework for health systems performance assessment. METHODS: Conceptual and methodological issues for selecting indicators for HRH monitoring and evaluation are discussed, and a range of primary and secondary data sources that might be used to generate indicators are reviewed. Descriptive analyses are conducted drawing primarily on one type of source, namely routinely reported data on the numbers of health personnel and medical schools as covered by national reporting systems and compiled by the World Health Organization. Regression techniques are used to triangulate a given HRH indicator calculated from different data sources across multiple countries. RESULTS: Major variations in the supply of health personnel and training opportunities are found to occur by region. However, certain discrepancies are also observed in measuring the same indicator from different sources, possibly related to the occupational classification or to the sources' representation. CONCLUSION: Evidence-based information is needed to better understand trends in HRH. Although a range of sources exist that can potentially be used for HRH assessment, the information that can be derived from many of these individual sources precludes refined analysis. A variety of data sources and analytical approaches, each with its own strengths and limitations, is required to reflect the complexity of HRH issues. In order to enhance cross-national comparability, data collection efforts should be processed through the use of internationally standardized classifications (in particular, for occupation, industry and education) at the greatest level of detail possible.

Rural community pharmacy: a feasible site for a health promotion and screening service for cardiovascular risk factors

A pharmacist-delivered health promotion and screening service for cardiovascular risk factors in rural community pharmacy was implemented in the Upper Hunter Valley, New South Wales (NSW). We describe the development of the service and profile 204 participants at their initial screening. A standardised clinical protocol guided the pharmacist through delivery of the service. The mean age of participants was 44 years (SD +/- 13). Over half (54%) had a Body Mass Index (BMI) > 25, 54% had cholesterol > 5.0 mmol L-1 and 18% a systolic BP> or = 140 mmHg and/or diastolic BP >or = 90 mmHg. Most (80%) received lifestyle information (dietary, exercise or smoking cessation). One third required referral to a general practitioner. Provision of the service through community pharmacy increased the community's access to screening, 28% reported that they had never had their cholesterol measured. Since this new service was able to identify, educate and refer people at risk of cardiovascular disease in a rural community, we recommend a broader adoption through rural pharmacies.

Increasingly inequitable distribution of general practitioners in Australia, 1986-96

OBJECTIVE

To document trends in the distribution of general practitioners (GPs) in Australia between 1986 and 1996, adjusted for community need.

METHODS

Data on the location of GPs, population size and crude mortality in statistical divisions (SD) were obtained from the Australian Bureau of Statistics Census of Population and Housing in 1986 and 1996. From these data, we calculated measures of distribution equality (number of people sharing each GP in each SD) and distribution equity (number of people sharing each GP divided by the crude mortality rate; the Robin Hood Index), and analysed temporal changes in the distribution of GPs.

RESULTS

Nationally, the number of people sharing each GP fell 11% from 1,038 in 1986 to 921 in 1996. However, in 41 of 57 SDs (72%, p=0.01) the number of people sharing a GP actually increased over this time, and the average Robin Hood Index across SDs fell from 0.943 to 0.783 (p=0.004), indicating increasingly inequitable distribution. Comparing the Robin Hood Index values of all SDs ranked in pairs, the value fell in 53 of 57 (93%, p<0.001) paired SDs over the decade. These patterns demonstrate increasing inequity over the decade. The number of people sharing each GP was consistently and substantially lower in the capital city SDs and the Robin Hood Index values were consistently and substantially higher (overserved) compared with country SDs.

CONCLUSIONS

Despite there being more GPs per capita in Australia, their distribution became increasingly unequal and inequitable between 1986 and 1996, such that rural and remote areas became increasingly poorly served.

Amalgamation and collaboration in rural general practices: early experience with the GP links program in rural South Australia

The GP Links program aims to promote the amalgamation of smaller general practices into larger group practices and is one of several strategies being used to modernise Australian family practice. GP Links provides financial incentives to practices willing to amalgamate. The focus of the program has been on urban practices to date and indeed some of the requirements of the program mean that rural practices are less likely to access the scheme. We report our positive and negative experiences of practice amalgamation through the GP Links program in a regional setting of South Australia. From our experience we suggest that for rural practices, a staged approach of increasing collaboration that may lead to amalgamation, which focuses on rural practices developing a supportive network and alliances with others such as Divisions and University Departments of Rural Health might be a positive way ahead.

Associations between rural background and where South Australian general practitioners work

OBJECTIVE

To determine the association between rural background on practice location of general practitioners (GPs) (rural or urban).

DESIGN

Comparison of data from two postal surveys.

SUBJECTS

268 rural and 236 urban GPs practising in South Australia.

MAIN OUTCOME MEASURES

Association between practice location (rural or urban) and demographic characteristics, training, qualifications, and rural background.

RESULTS

Rural GPs were younger than urban GPs (mean age 47 versus 50 years, P < 0.01) and more likely to be male (81% versus 67%, P = 0.001), to be Australian-born (72% versus 61%, P = 0.01), to have a partner (95% versus 85%, P = 0.001), and to have children (94% versus 85%, P = 0.001). Similar proportions of rural and urban GPs were trained in Australia and were Fellows of the Royal Australian College of General Practitioners, but more rural GPs were vocationally registered (94% versus 84%, P = 0.001). Rural GPs were more likely to have grown up in the country (37% versus 27%, P = 0.02), to have received primary (33% versus 19%, P = 0.001) and secondary (25% versus 13%, P = 0.001) education there, and to have a partner who grew up in the country (49% versus 24%, P = 0.001). In multivariate analysis, only primary education in the country (odds ratio [OR], 2.43; 95% CI, 1.09-5.56) and partner of rural background (OR, 3.14; 95% CI, 1.96-5.10) were independently associated with rural practice.

CONCLUSION

Our findings support the policy of promoting entry to medical school of students with a rural background and provide an argument for policies that address the needs of partners and maintain quality primary and secondary education in the country.

Inequitable distribution of general practitioners in Australia: analysis by state and territory using census data

The objective of this study was to describe the distribution of general practitioners in each State and Territory, stratified by statistical division and adjusted for estimated community need. The location of general practitioners was obtained from the 1996 Census of Population and Housing. Community need was estimated from crude death rates supplied by the Australian Bureau of Statistics. On average there are 920 people per full-time general practitioner in Australia. Three States are relatively oversupplied by up to 5% (Australian Capital Territory) and the rest are relatively undersupplied by up to 12% (Western Australia). Adjusted for estimated need, the Australian Capital Territory is oversupplied by 71% compared with all of Australia, while Western Australia is undersupplied by 15%. More marked differences occur within the States, with the statistical division containing each capital city in each State that is relatively overserved. The greatest oversupply is in Sydney, where 33% fewer people share a full-time general practitioner than the whole of New South Wales (adjusted for need, oversupply in Sydney is 63%). Relative undersupply is greatest in Queensland, with 133% more people sharing each general practitioner in the north-west statistical division compared with the whole State. The distribution of general practitioners between and within States and Territories is unequal and inequitable. In each State, capital cities tend to be relatively oversupplied compared with more rural areas. While these data do not inform the absolute level of service needed in a community; they do suggest that strategies to redress the inequitable distribution are required.