Xander Koolman

Inequalities in access to medical care by income in developed countries

Background: Most of the member countries of the Organization for Economic Cooperation and Development (OECD) aim to ensure equitable access to health care. This is often interpreted as requiring that care be available on the basis of need and not willingness or ability to pay. We sought to examine equity in physician utilization in 21 OECD countries for the year 2000. Methods: Using data from national surveys or from the European Community Household Panel, we extracted the number of visits to a general practitioner or medical specialist over the previous 12 months. Visits were standardized for need differences using age, sex and reported health levels as proxies. We measured inequity in doctor utilization by income using concentration indices of the need-standardized use. Results: We found inequity in physician utilization favouring patients who are better off in about half of the OECD countries studied. The degree of pro-rich inequity in doctor use is highest in the United States and Mexico, followed by Finland, Portugal and Sweden. In most countries, we found no evidence of inequity in the distribution of general practitioner visits across income groups, and where it does occur, it often indicates a pro-poor distribution. However, in all countries for which data are available, after controlling for need differences, people with higher incomes are significantly more likely to see a specialist than people with lower incomes and, in most countries, also more frequently. Pro-rich inequity is especially large in Portugal, Finland and Ireland. Interpretation: Although in most OECD countries general practitioner care is distributed fairly equally and is often even pro-poor, the very pro-rich distribution of specialist care tends to make total doctor utilization somewhat pro-rich. This phenomenon appears to be universal, but it is reinforced when private insurance or private care options are offered.

The role of disability in explaining long-term care utilization.

Objective:In view of aging populations, it is important to improve our understanding of the determination of long-term care (LTC) service use among the middle-aged and elderly population. We examined the likelihood of using 2 levels of LTC—homecare and institutional care—in the Netherlands and focused on the influence of the measured degree of disability. Methods:We pooled 2 cross-sectional surveys—one that excluded institutionalized and one that was targeted at institutionalized individuals aged 50+. Disability is measured by impairment in (instrumental) activities of daily living (iADL, ADL) and mobility. Consistency with official Dutch LTC eligibility criteria resulted in the selection of an ordered response model to analyze utilization. We compared a model with separate disability indicators to one with a disability index. Results:Age and disability, but not general health, proved to be the main determinants of utilization, with the composite index sufficiently representing the disaggregated components. The presence of at least 1 disability displayed a greater effect on utilization than any additional disabilities. Apart from disability and age, sex, living alone, psychologic problems, and hospitalizations showed a significant influence on LTC use. Some determinants affected the likelihood of homecare or institutional care use differently. Conclusions:Even after extensive control for disability, age remains an important driver of LTC use. By contrast, general health status hardly affects LTC use. The model and disability index can be used as a policy tool for simulating LTC needs.

The effect of income growth and inequality on health inequality: Theory and empirical evidence from the European Panel

Governments of EU countries have declared that they would like to couple income growth with reductions in social inequalities in income and health. We show that, theoretically, both aims can be reconciled only under very specific conditions concerning the type of growth and the income responsiveness of health. We investigate whether these conditions were met in Europe in the 1990s using panel data from the European Community Household Panel. We demonstrate that (i) in most countries, the income elasticity of health was positive and increases with income, and (ii) that income growth was not pro-rich in most EU countries, resulting in small or negligible reductions in income inequality. The combination of both findings explains the modest increases we observe in income-related health inequality in the majority of countries.

Dear policy maker: Have you made up your mind? A discrete choice experiment among policy makers and other health professionals

OBJECTIVES The aim of this study was to get insight in what criteria as presented in Health technology assessment (HTA) studies are important for decision makers in healthcare priority setting. METHODS We performed a discrete choice experiment among Dutch healthcare professionals (policy makers, HTA experts, advanced HTA students). In twenty-seven choice sets, we asked respondents to elect reimbursement of one of two different healthcare interventions, which represented unlabeled, curative treatments. Both treatments were incrementally compared with usual care. The results of the interventions were normal outputs of HTA studies with a societal perspective. Results were analyzed using a multinomial logistic regression model. Upon completion of the questionnaire, we discussed the exercise with policy makers. RESULTS Severity of disease, costs per quality-adjusted life-year gained, individual health gain, and the budget impact were the most decisive decision criteria. A program targeting more severe diseases increased the probability of reimbursement dramatically. Uncertainty related to cost-effectiveness was also important. Respondents preferred health gains that include quality of life improvements over extension of life without improved quality of life. Savings in productivity costs were not crucial in decision making, although these are to be included in Dutch reimbursement dossiers for new drugs. Regarding subgroups, we found that policy makers attached relatively more weight to disease severity than others but less to uncertainty. CONCLUSIONS Dutch policy makers and other healthcare professionals seem to have reasonably well articulated preferences: six of seven attributes were significant. Disease severity, budget impact, and cost-effectiveness were very important. The results are comparable to international studies, but reveal a larger set of important decision criteria.

The impact of having supplementary private health insurance on the uses of specialists

The European Community Household Panel (ECHP) is used to estimate the impact of private health insurance coverage on the use of specialist visits in four European countreis which allow supplementary coverage. The results show that the probability of having private insurance increases with income and with better reported health. Private insurance has a positive effect on the probability of specialist visits in all countries although the magnitude is sensitive to the choice of estimator.

Decomposing cross-country differences in Quality Adjusted Life Expectancy: The impact of value sets

BackgroundThe validity, reliability and cross-country comparability of summary measures of population health (SMPH) have been persistently debated. In this debate, the measurement and valuation of nonfatal health outcomes have been defined as key issues. Our goal was to quantify and decompose international differences in health expectancy based on health-related quality of life (HRQoL). We focused on the impact of value set choice on cross-country variation.MethodsWe calculated Quality Adjusted Life Expectancy (QALE) at age 20 for 15 countries in which EQ-5D population surveys had been conducted. We applied the Sullivan approach to combine the EQ-5D based HRQoL data with life tables from the Human Mortality Database. Mean HRQoL by country-gender-age was estimated using a parametric model. We used nonparametric bootstrap techniques to compute confidence intervals. QALE was then compared across the six country-specific time trade-off value sets that were available. Finally, three counterfactual estimates were generated in order to assess the contribution of mortality, health states and health-state values to cross-country differences in QALE.ResultsQALE at age 20 ranged from 33 years in Armenia to almost 61 years in Japan, using the UK value set. The value sets of the other five countries generated different estimates, up to seven years higher. The relative impact of choosing a different value set differed across country-gender strata between 2% and 20%. In 50% of the country-gender strata the ranking changed by two or more positions across value sets. The decomposition demonstrated a varying impact of health states, health-state values, and mortality on QALE differences across countries.ConclusionsThe choice of the value set in SMPH may seriously affect cross-country comparisons of health expectancy, even across populations of similar levels of wealth and education. In our opinion, it is essential to get more insight into the drivers of differences in health-state values across populations. This will enhance the usefulness of health-expectancy measures.

Dutch healthcare reform: did it result in better patient experiences in hospitals? a comparison of the consumer quality index over time

BackgroundIn 2006, the Dutch hospital market was reformed to create a more efficient delivery system through managed competition. To allow competition on quality, patient experiences were measured using the Consumer Quality index (CQI). We study whether public reporting and competition had an effect on the CQI between 2006 and 2009.MethodsWe analyzed 8,311 respondents covering 31 hospitals in 2006, 22,333 respondents covering 78 hospitals in 2007 and 24,246 respondents covering 94 hospitals in 2009. We describe CQI trends over the period 2006-2009. In addition we compare hospitals that varied in the level of competition they faced and hospitals that were forced to publish CQI results publicly and those that were not. We corrected for observable covariates between hospital respondents using a multi level linear regression. We used the Herfindahl Hirschman Index to indicate the level of competition.ResultsBetween 2006 and 2009 hospitals showed a CQI improvement of 0.034 (p < 0.05) to 0.060 (p < 0.01) points on a scale between one and four. Hospitals that were forced to publish their scores showed a further improvement of 0.027 (p < 0.01) to 0.030 (p < 0.05). Furthermore, hospitals that faced more competition from geographically close competitors showed a more pronounced improvement of CQI-scores 0.004 to 0.05 than other hospitals (p < 0.001).ConclusionOur results show that patients reported improved experiences measured by the CQI between 2006 and 2009. CQI levels improve at a faster rate in areas with higher levels of competition. Hospitals confronted with forced public publication of their CQI responded by enhancing the experiences of their patients.

The use of quality information by general practitioners: does it alter choices? A randomized clustered study

BackgroundFollowing the introduction of elements of managed competition in the Netherlands in 2006, General Practitioners (GPs) and patients were given the role to select treatment hospital using public quality information. In this study we investigate to what extent hospital preferences of GP’s are affected by performance indicators on medical effectiveness and patient experiences. We selected three conditions: breast cancer, cataract surgery, and hip and knee replacement.MethodsAfter an inquiry 26 out of 226 GPs in the region signed up to participate in our study. After a 2:1 randomization, we analyzed the referral patterns in the region using three groups of GPs: GPs (n=17) who used the report cards and received personal clarification, GPs that signed up for the study but were assigned to the control group (n=9), and the GPs outside the study (n=200).We conducted a difference in differences analysis where the choice for a particular hospital was the dependent variable and time (2009 or 2010), the sum score of the CQI, the sum score of the PI’s and dummy variables for the individual hospitals were used as independent variables.ResultsThe analysis of the conditions together and cataract surgery and hip and knee replacement separately, showed no significant relationships between the scores on the report cards and the referral patterns of the GPs. For breast cancer our analysis revealed that GPs in the intervention group refer 1.0% (p=0.01) more to hospitals that score one percent point better on the indicators for medical effectiveness.ConclusionOur study provides empirical evidence that GP referral patterns were unaffected by the available quality information, except for the outcome indicators for breast cancer care that were presented. This finding was surprising since our study was designed to identify changes in hospital preference (1) amongst the most motivated GP’s, (2) that received personal clarification of the performance indicators, and (3) selected indicators/conditions from a large set of indicators that they believed were most important. This finding may differ when quality information is based on outcome indicators with a clinically relevant difference, as shown by our indicators for breast cancer treatment. We believe that the current set of (largely process) hospital quality indicators do not serve the GP’s information needs and consequently quality plays little role in the selection of hospitals for treatment.

The incentive to publish negative studies: how beta-blockers and depression got stuck in the publication cycle

OBJECTIVES The hypothesis that use of beta-blockers causes depression has been proposed more than 40 years ago. However, despite the publication of numerous studies, the issue remains unresolved. The aim of this article is to describe a publication pattern in these studies, which may explain why the controversy persists. STUDY DESIGN AND SETTING A literature search was performed in Embase, Medline, and references of relevant articles. Studies that tested whether patients using beta-blockers for cardiovascular conditions had an increased risk of depression compared with nonusers were included. RESULTS The search yielded 22 observational studies. A specific publication pattern recurred several times in these studies. Each study that presented statistically significant findings was followed by several studies that refuted those findings. This publication cycle arose in cross-sectional studies, longitudinal studies, and meta-analyses, as well as for beta-blockers in general, propranolol, and nonselective beta-blockers. Some underpowered nonsignificant findings were published in high-impact journals. CONCLUSION The publication cycle clearly illustrates that significant findings are published ahead of nonsignificant findings, and that significant findings seem to provide an incentive to publish nonsignificant studies. Therefore, studies that may have correctly shown that beta-blockers increase the risk of depression will have been refuted too. Publication bias because of false nonsignificant studies may obstruct scientific progress.

Socio-economic status and self-reported tuberculosis: A multilevel analysis in a low-income township in the eastern cape, South Africa

Few studies have investigated the interplay of multiple factors affecting the prevalence of tuberculosis in developing countries. The compositional and contextual factors that affect health and disease patterns must be fully understood to successfully control tuberculosis. Experience with tuberculosis in South Africa was examined at the household level (overcrowding, a leaky roof, social capital, unemployment, income) and at the neighbourhood level (Gini coefficient of inequality, unemployment rate, headcount poverty rate). A hierarchical random-effects model was used to assess household-level and neighbourhood-level effects on self-reported tuberculosis experience. Every tenth household in each of the 20 Rhini neighbourhoods was selected for inclusion in the sample. Eligible respondents were at least 18 years of age and had been residents of Rhini for at least six months of the previous year. A Kish grid was used to select one respondent from each targeted household, to ensure that all eligible persons in the household stood an equal chance of being included in the survey. We included 1,020 households within 20 neighbourhoods of Rhini, a suburb of Grahamstown in the Eastern Cape, South Africa. About one-third of respondents (n=329; 32%) reported that there had been a tuberculosis case within the household. Analyses revealed that overcrowding (P≤0.05) and roof leakage (P≤0.05) contributed significantly to the probability of a household tuberculosis experience experience, whereas higher social capital (P≤0.01) significantly reduced this probability. Overcrowding, roof leakage and the social environment affected tuberculosis prevalence in this economically disadvantaged community. Policy makers should consider the possible benefits of programs that deal with housing and social environments when addressing the spread of tuberculosis in economically poor districts.