Sociodemographic and health characteristics, rather than primary care supply, are major drivers of geographic variation in preventable hospitalizations in Australia.

BACKGROUND: Geographic rates of preventable hospitalization are used internationally as an indicator of accessibility and quality of primary care. Much research has correlated the indicator with the supply of primary care services, yet multiple other factors may influence these admissions. OBJECTIVE: To quantify the relative contributions of the supply of general practitioners (GPs) and personal sociodemographic and health characteristics, to geographic variation in preventable hospitalization. METHODS: Self-reported questionnaire data for 267,091 participants in the 45 and Up Study, Australia, were linked with administrative hospital data to identify preventable hospitalizations. Multilevel Poisson models, with participants clustered in their geographic area of residence, were used to explore factors that explain geographic variation in hospitalization. RESULTS: GP supply, measured as full-time workload equivalents, was not a significant predictor of preventable hospitalization, and explained only a small amount (2.9%) of the geographic variation in hospitalization rates. Conversely, more than one-third (36.9%) of variation was driven by the sociodemographic composition, health, and behaviors of the population. These personal characteristics explained a greater amount of the variation for chronic conditions (37.5%) than acute (15.5%) or vaccine-preventable conditions (2.4%). CONCLUSIONS: Personal sociodemographic and health characteristics, rather than GP supply, are major drivers of preventable hospitalization. Their contribution varies according to condition, and if used for performance comparison purposes, geographic rates of preventable hospitalization should be reported according to individual condition or potential pathways for intervention.

Global differences in dialysis modality mix: the role of patient characteristics, macroeconomics and renal service indicators.

BACKGROUND: An increase in the dialysis programme expenditure is expected in most countries given the continued rise in the number of people with end-stage renal disease (ESRD) globally. Since chronic peritoneal dialysis (PD) therapy is relatively less expensive compared with haemodialysis (HD) and because there is no survival difference between PD and HD, identifying factors associated with PD use is important. METHODS: Incidence counts for the years 2003-05 were available from 36 countries worldwide. We studied associations of population characteristics, macroeconomic factors and renal service indicators with the percentage of patients on PD at Day 91 after starting dialysis. With linear regression models, we obtained relative risks (RRs) with 95% confidence intervals (CIs). RESULTS: The median percentage of incident patients on PD was 12% (interquartile range: 7-26%). Determinants independently associated with lower percentages of patients on PD were as follows: patients with diabetic kidney disease (per 5% increase) (RR 0.93; 95% CI 0.89-0.97), health expenditure as % gross domestic product (per 1% increase) (RR 0.93; 95% CI 0.87-0.98), private-for-profit share of HD facilities (per 1% increase) (RR 0.996; 95% CI 0.99-1.00; P = 0.04), costs of PD consumables relative to staffing (per 0.1 increase) (RR 0.97; 95% CI 0.95-0.99). CONCLUSIONS: The factors associated with a lower percentage of patients on PD include higher diabetes prevalence, higher healthcare expenditures, larger share of private-for-profit centres and higher costs of PD consumables relative to staffing. Whether dialysis modality mix can be influenced by changing healthcare organization and funding requires additional studies.

Global variation in renal replacement therapy for end-stage renal disease.

BACKGROUND: Incidence rates of renal replacement therapy (RRT) for end-stage renal disease vary considerably worldwide. This study examines the independent association between the general population, health care system and renal service characteristics and RRT incidence rates. METHODS: RRT incidence data (2003-2005) were obtained from renal registries; general population age and health and macroeconomic indices were collected from secondary sources. Renal service organization and resource data were obtained through interviews and questionnaires. Linear regression models were built to establish the factors independently associated with RRT incidence, stratified by the Human Development Index where required. False discovery rate (FDR) correction was adjusted for multiple testing. RESULTS: Across the 46 countries (population 1.25 billion), RRT incidence rates ranged from 12 to 455 (median 130) per million population. Gross domestic product (GDP) per capita [incidence rate ratio (IRR): 1.02 per $1000 increase, P(FDR) = 0.047], percentage of GDP spent on health care (IRR: 1.11 per % increase, P(FDR) = 0.006) and dialysis facility reimbursement rate relative to GDP (IRR: 0.76 per GDP per capita-sized increase in reimbursement rate, P(FDR) = 0.007) were independently associated with RRT incidence. In more developed countries, the private for-profit share of haemodialysis facilities was also associated with higher incidence (IRR: 1.009 per % increase, P(FDR) = 0.003). CONCLUSIONS: Macroeconomic and renal service factors are more often associated with RRT incidence rates than measured demographic or general population health status factors.

New professional roles and patient satisfaction: Evidence from a European survey along three clinical pathways.

This paper reports the results of an empirical analysis exploring the impact of new professions (eg a physician associate) and new professional roles on patient experiences of and satisfaction with care. A sub set of data from a patient survey conducted as part of the MUNROS programme of work was used. The overall survey aim was to describe and quantify the use of new professionals and new roles for established health care professionals other than medical doctors, in primary and secondary care sectors in three care pathways in nine European countries Ordered logit models were used to investigate the association between: (1) patient satisfaction with the last visit; (2) with their care provider; (3) with the information provided and a set of covariates explaining the involvement of new professional roles in three clinical pathways: type 2 diabetes, heart disease and breast cancer. For patients with breast cancer, high levels of satisfaction are associated with the involvement of new professions/professional roles in the provision of conditions specific education and monitoring. For patients with heart disease, the involvement of new professions/professional roles is likely to have a negative impact on satisfaction. For patients with Type 2 diabetes results are ambivalent. Patients belonging to countries experiencing innovative models of healthcare delivery and with high levels of involvement of new professions/professional roles are generally more satisfied. In conclusion, the introduction of new professions does not affect patient satisfaction negatively, therefore introducing new health professional roles is a pursuable strategy from a patient satisfaction perspective, at least for breast cancer and type 2 diabetes.

Geographically differentiated pay in the labour market for nurses.

This novel application of spatial wage theory to health service labour markets analyses the competitiveness of nurse's pay and how this differs between local labour markets in Britain. A switching regression model is estimated to derive standardised spatial wage differentials (SSWDs) for nurses and their comparators. An SSWD gap is constructed and its relationship to vacancies estimated. A reduction in the gap in a local area is shown to result in an increase in the long-term vacancy rate for National Health Service (NHS) nurses. The competitiveness of nursing pay is shown to have a strong effect on the ability of the NHS to attract and retain nurses.

Pay or conditions? The role of workplace characteristics in nurses' labor supply.

Empirically rigorous studies of nursing labor supply have to date relied on extant secondary data and focused almost exclusively on the role of pay. Yet the conditions under which nurses work and the timing and convenience of the hours they work are also important determinants of labor supply. Where there are national pay structures and pay structures are relatively inflexible, as in nursing in European countries, these factors become more important. One of the principal ways in which employers can improve the relative attractiveness of nursing jobs is by changing these other conditions of employment. This study uses new primary data to estimate an extended model of nursing labor supply. It is the first to explore whether and how measures of non-pecuniary workplace characteristics and observed individual (worker) heterogeneity over non-pecuniary job aspects impact estimates of the elasticity of hours with respect to wages. Our results have implications for the future sustainability of an adequately sized nurse workforce and patient care especially at a time when European healthcare systems are confronted with severe financial pressures that have resulted in squeezes in levels of healthcare funding.

Assessing Preventable Hospitalisation InDicators (APHID): protocol for a data-linkage study using cohort study and administrative data.

INTRODUCTION: Potentially preventable hospitalisation (PPH) has been adopted widely by international health systems as an indicator of the accessibility and overall effectiveness of primary care. The Assessing Preventable Hospitalisation InDicators (APHID) study will validate PPH as a measure of health system performance in Australia and Scotland. APHID will be the first large-scale study internationally to explore longitudinal relationships between primary care and PPH using detailed person-level information about health risk factors, health status and health service use. METHODS AND ANALYSIS: APHID will create a new longitudinal data resource by linking together data from a large-scale cohort study (the 45 and Up Study) and prospective administrative data relating to use of general practitioner (GP) services, dispensing of pharmaceuticals, emergency department presentations, hospital admissions and deaths. We will use these linked person-level data to explore relationships between frequency, volume, nature and costs of primary care services, hospital admissions for PPH diagnoses, and health outcomes, and factors that confound and mediate these relationships. Using multilevel modelling techniques, we will quantify the contributions of person-level, geographic-level and service-level factors to variation in PPH rates, including socioeconomic status, country of birth, geographic remoteness, physical and mental health status, availability of GP and other services, and hospital characteristics. ETHICS AND DISSEMINATION: Participants have consented to use of their questionnaire data and to data linkage. Ethical approval has been obtained for the study. Dissemination mechanisms include engagement of policy stakeholders through a reference group and policy forum, and production of summary reports for policy audiences in parallel with the scientific papers from the study.

Exploring the association between macroeconomic indicators and dialysis mortality.

BACKGROUND AND OBJECTIVES: Mortality on dialysis varies greatly worldwide, with patient-level factors explaining only a small part of this variation. The aim of this study was to examine the association of national-level macroeconomic indicators with the mortality of incident dialysis populations and explore potential explanations through renal service indicators, incidence of dialysis, and characteristics of the dialysis population. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Aggregated unadjusted survival probabilities were obtained from 22 renal registries worldwide for patients starting dialysis in 2003-2005. General population age and health, macroeconomic indices, and renal service organization data were collected from secondary sources and questionnaires. Linear modeling with log-log transformation of the outcome variable was applied to establish factors associated with survival on dialysis. RESULTS: Two-year survival on dialysis ranged from 62.3% in Iceland to 89.8% in Romania. A higher gross domestic product per capita (hazard ratio=1.02 per 1000 US dollar increase), a higher percentage of gross domestic product spent on healthcare (1.10 per percent increase), and a higher intrinsic mortality of the dialysis population (i.e., general population-derived mortality risk of the dialysis population in that country standardized for age and sex; hazard ratio=1.04 per death per 10,000 person years) were associated with a higher mortality of the dialysis population. The incidence of dialysis and renal service indicators were not associated with mortality on dialysis. CONCLUSIONS: Macroeconomic factors and the intrinsic mortality of the dialysis population are associated with international differences in the mortality on dialysis. Renal service organizational factors and incidence of dialysis seem less important.

Sexual difference in PCB concentrations of coho salmon (Oncorhynchus kisutch).

We determined polychlorinated biphenyl (PCB) concentrations in 35 female coho salmon (Oncorhynchus kisutch) and 60 male coho salmon caught in Lake Michigan (Michigan and Wisconsin, United States) during the fall of 1994 and 1995. In addition, we determined PCB concentrations in the skin-on fillets of 26 female and 19 male Lake Michigan coho salmon caught during the fall of 2004 and 2006. All coho salmon were age-2 fish. These fish were caught prior to spawning, and therefore release of eggs could not account for sexual differences in PCB concentrations because female coho salmon spawn only once during their lifetime. To investigate whether gross growth efficiency (GGE) differed between the sexes, we applied bioenergetics modeling. Results showed that, on average, males were 19% higher in PCB concentration than females, based on the 1994-1995 dataset. Similarly, males averaged a 20% higher PCB concentration in their skin-on fillets compared with females. According to the bioenergetics modeling results, GGE of adult females was less than 1% higher than adult male GGE. Thus, bioenergetics modeling could not explain the 20% higher PCB concentration exhibited by the males. Nonetheless, a sexual difference in GGE remained a plausible explanation for the sexual difference in PCB concentrations.

The EVEREST study: an international collaboration.

Rates of initiation of renal replacement therapy (RRT), use of home modalities of treatment and patient outcomes vary considerably between countries. This paper reports the methods and baseline characteristics of countries participating in the EVEREST study (n = 46), a global collaboration examining the association between medical and non-medical factors and RRT incidence, modality mix and survival. Numbers of incident and prevalent patients were collected for current (2003-05) and historic (1983-85, 1988-90, 1993-95 and 1998-2000) periods stratified, where available, by age, gender, treatment modality and cause of end stage renal disease (diabetic versus non-diabetic). General population age and health indicators and national-level macroeconomic data were collected from secondary data sources. National experts provided primary data on renal service funding, resources and organization. The median (inter quartile range) RRT incidence per million of the population (pmp) was 130 pmp (102-167 pmp). The general population life expectancy at 60 was 22.1 years (19.7-23.1 years) and 6.9% had diabetes mellitus (5.4-9.0%). Healthcare spending as a percentage of gross domestic product was 8.1% (5.6-9.3%). Countries averaged nine dialysis facilities pmp (4-12 pmp), with 69.0% (43.9-99.0%) owned by the public or private not-for-profit sector. The number of nephrologists ranged from 0.5 to 48 pmp (median 12 pmp). The heterogeneity of EVEREST countries will enable modelling to examine the independent association between medical and non-medical factors on RRT epidemiology.

The labour market for nursing: a review of the labour supply literature.

The need to ensure adequate numbers of motivated health professionals is at the forefront of the modernisation of the UK NHS. The aim of this paper is to assess current understanding of the labour supply behaviour of nurses, and to propose an agenda for further research. In particular, the paper reviews American and British economics literature that focuses on empirical econometric studies based on the classical static labour supply model. American research could be classified into first generation, second generation and recent empirical evidence. Advances in methods mirror those in the general labour economics literature, and include the use of limited dependent variable models and the treatment of sample selection issues. However, there is considerable variation in results, which depends on the methods used, particularly on the effect of wages. Only one study was found that used UK data, although other studies examined the determinants of turnover, quit rates and job satisfaction. The agenda for further empirical research includes the analysis of discontinuities in the labour supply function, the relative importance of pecuniary and non-pecuniary job characteristics, and the application of dynamic and family labour supply models to nursing research. Such research is crucial to the development of evidence-based policies.