Koolman, A.H.E.

Health system goals: A discrete choice experiment to obtain societal valuations (Article)

2013-01-28T00:00:00Z

Objective: To improve previous approaches to health system goals valuation. Methods: We reviewed literature on health system performance and previous comparative performance assessments, and combined this with literature on process utility to create a theoretical foundation for health system goals. We used a discrete choice experiment to elicit goal weights. To obtain social justice weights respondents were placed behind a 'veil of ignorance'. To ensure that respondents understood their task, we instructed them in a classroom setting. Results: We identified five health system goals. All five goals significantly affected choice behavior. An equitable distribution of health obtained the highest weight (0.34), followed by average level of health (0.29) and financial fairness (0.24). Both process outcomes (utility derived from the process and its distribution) received much lower weights (0.07 and 0.06, respectively). Conclusions: Our framework adds to that of the World Health Organization. We demonstrated the feasibility of measuring societal valuation of health system goals with a multi-attribute technique based on trade-offs. Our weights placed much greater emphasis on health and health inequality than on process outcomes. Our study improves the methodology of international health system performance comparison and thereby enhances global evidence-based health policy information.

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

2011-06-23T00:00:00Z

Background: The 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. Methods: We 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. Results: QALE 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. Conclusions: The 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.

Physicians underestimate the importance of patient-centredness to patients: A discrete choice experiment in fertility care (Article)

2011-03-01T00:00:00Z

Background: High-quality healthcare should be effective, safe and patient-centred. How important patient-centredness is in relation to effectiveness of fertility care has never been investigated. This study aimed to determine and compare the importance of patient-centredness, relative to pregnancy rates, to patients and physicians. Methods A discrete choice experiment (DCE) was designed. Participants had to choose between hypothetical fertility clinics differing in following attributes: travel time; pregnancy rate (effectiveness); physicians attitude; information on treatment; and continuity of physicians (the latter three represent patient-centredness). A total of 1378 patients and 268 physicians from eight Dutch and Belgian fertility clinics received the DCE-questionnaire. The attributes relative importance was analysed using multinomial logistic regression. Additionally, patients actual choice behaviour was investigated. Results In total, 925 patients and 227 physicians participated. Pregnancy rates were relatively more important to physicians. Patients assigned more value to patient-centredness (P< 0.001) and were willing to trade-off a higher pregnancy rate for patient-centredness than physicians recommended them to do (P< 0.05). For example, patients considered pregnancy rates 1.5 times as important as an interested physicians attitude, whereas physicians considered this 2.4 times as important (P< 0.001). The willingness to trade-off pregnancy rate for this attitude was 9.8 for patients and 6.3 for physicians (P< 0.001). A lack of patient-centredness was the most cited non-medical reason for changing fertility clinics. Conclusions Patients and physicians put considerable value on pregnancy rates. However, physicians significantly undervalue the importance of patient-centredness to patients. Clinics aiming to optimize the quality of their services should be aware of the substantial importance their patients assign to patient-centredness.

Criteria for priority setting of HIV/AIDS interventions in Thailand: A discrete choice experiment (Article)

2010-07-12T00:00:00Z

Background: Although a sizeable budget is available for HIV/AIDS control in Thailand, there will never be enough resources to implement every programme for all target groups at full scale. As such, there is a need to prioritize HIV/AIDS programmes. However, as of yet, there is no evidence on the criteria that should guide the priority setting of HIV/AIDS programmes in Thailand, including their relative importance. Also, it is not clear whether different stakeholders share similar preferences. Methods: Criteria for priority setting of HIV/AIDS interventions in Thailand were identified in group discussions with policy makers, people living with HIV/AIDS (PLWHA), and community members (i.e. village health volunteers (VHVs)). On the basis of these, discrete choice experiments were designed and administered among 28 policy makers, 74 PLWHA, and 50 VHVs. Results: In order of importance, policy makers expressed a preference for interventions that are highly effective, that are preventive of nature (as compared to care and treatment), that are based on strong scientific evidence, that target high risk groups (as compared to teenagers, adults, or children), and that target both genders (rather than only men or women). PLWHA and VHVs had similar preferences but the former group expressed a strong preference for care and treatment for AIDS patients. Conclusions: The study has identified criteria for priority setting of HIV/AIDS interventions in Thailand, and revealed that different stakeholders have different preferences vis -à- vis these criteria. This could be used for a broad ranking of interventions, and as such as a basis for more detailed priority setting, taking into account also qualitative criteria.

Dear Policymaker: Have you made up your mind? (Article)

2010-05-01T00:00:00Z

Objectives: To get insight in what criteria as presented in Health Technology Assessment (HTA) studies are important for decision makers in health care priority setting. Methods: We performed a discrete choice experiment (DCE) among Dutch health care professionals (policymakers, HTA experts, advanced HTA students). In 27 choice sets, we asked respondents to elect reimbursement of one of two different health care interventions, which represented unlabeled, curative treatments. Both treatments were incrementally compared to usual care. The results of the interventions were normal outputs of HTA studies with a societal perspective. Results were analysed using a multinomial logistic regression model. Upon completion of the questionnaire we discussed the exercise with policymakers. Results: Severity of disease, costs per QALY 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 policymakers attached relatively more weight to disease severity than others but less to uncertainty. Conclusions: Dutch policymakers and other health care 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.

Preferences for long-term care services: Willingness to pay estimates derived from a discrete choice experiment (Article)

2010-05-01T00:00:00Z

Abstract: Ageing populations increase pressure on long-term care. Optimal resource allocation requires an optimal mix of care services based on costs and benefits. Contrary to costs, benefits remain largely unknown. This study elicits preferences in the general elderly population for long-term care services for varying types of patients. A discrete choice experiment was conducted in a general population subsample aged 50-65 years (N = 1082) drawn from the Dutch Survey Sampling International panel. To ascertain relative preferences for long-term care and willingness to pay for these, participants were asked to choose the best of two care scenarios for four groups of hypothetical patients: frail and demented elderly, with and without partner. The scenarios described long-term care using ten attributes based on Social Production Function theory: hours of care, organized social activities, transportation, living situation, same person delivering care, room for individual preferences, coordination of services, punctuality, time on waiting list, and co-payments. We found the greatest value was attached to same person delivering care and transportation services. Low value was attached to punctuality and room for individual preferences. Nursing homes were generally considered to be detrimental for well-being except for dementia patients without a partner. Overall, long-term care services were thought to produce greatest well-being for the patients 'without a partner' and those 'with dementia'. Individuals combining these two risk factors would benefit the most from all services except transportation which was considered more important for the frail elderly. The results support the notion that long-term care services represent different value for different types of patients and that the value of a service depends upon the social context. Examination of patient profiles confirmed the notion that physical, mental and social vulnerability affect valuation of the services. Policy-making would profit from allocation models in which budgetary requirements of different services can be balanced against the well-being they produce for individuals.

Dear Policymaker: Have you made up your mind? (Article)

2010-04-01T00:00:00Z

Which preferred providers are really preferred? Effectiveness of insurers' channeling incentives on pharmacy choice (Article)

2009-12-01T00:00:00Z

Efficient contracting of health care requires effective consumer channeling. Little is known about the effectiveness of channeling strategies. We study channeling incentives on pharmacy choice using a large scale discrete choice experiment. Financial incentives prove to be effective. Positive financial incentives are less effective than negative financial incentives. Channeling through qualitative incentives also leads to a significant impact on provider choice. While incentives help to channel, a strong status quo bias needs to be overcome before consumers change pharmacies. Focusing on consumers who are forced to choose a new pharmacy seems to be the most effective strategy.

The role of disability in explaining long-term care utilization (Article)

2009-11-01T00:00:00Z

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 (Article)

2009-05-01T00:00:00Z

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.

Balancing equity and efficiency in health priorities in Ghana: The use of multicriteria decision analysis (Article)

2008-12-01T00:00:00Z

Objectives: To guide the Ministry of Health in Ghana in the priority setting of interventions by quantifying the trade-off between equity, efficiency, and other societal concerns in health. Methods: The study applied a multicriteria decision analytical framework. A focus group of seven policymakers identified the relevant criteria for priority setting and 63 policymakers participated in a discrete choice experiment to weigh their relative importance. Regression analysis was used to rank order a set of health interventions on the basis of these criteria and associated weights. Results: Policymakers in Ghana consider targeting of vulnerable populations and cost-effectiveness as the most important criteria for priority setting of interventions, followed by severity of disease, number of beneficiaries, and diseases of the poor. This translates into a general preference for interventions in child health, reproductive health, and communicable diseases. Conclusion: Study results correspond with the overall vision of the Ministry of Health in Ghana, and are instrumental in the assessment of present and future investments in health. Multicriteria decision analysis contributes to transparency and accountability in policymaking.

Measuring and explaining mortality in Dutch hospitals; The Hospital Standardized Mortality Rate between 2003 and 2005 (Article)

2008-05-14T00:00:00Z

Background. Indicators of hospital quality, such as hospital standardized mortality ratios (HSMR), have been used increasingly to assess and improve hospital quality. Our aim has been to describe and explain variation in new HSMRs for the Netherlands. Methods. HSMRs were estimated using data from the complete population of discharged patients during 2003 to 2005. We used binary logistic regression to indirectly standardize for differences in case-mix. Out of a total of 101 hospitals 89 hospitals remained in our explanatory analysis. In this analysis we explored the association between HSMRs and determinants that can and cannot be influenced by hospitals. For this analysis we used a two-level hierarchical linear regression model to explain variation in yearly HSMRs. Results. The average HSMR decreased yearly with more than eight percent. The highest HSMR was about twice as high as the lowest HSMR in all years. More than 2/3 of the variation stemmed from between-hospital variation. Year (-), local number of general practitioners (-) and hospital type were significantly associated with the HSMR in all tested models. Conclusion. HSMR scores vary substantially between hospitals, while rankings appear stable over time. We find no evidence that the HSMR cannot be used as an indicator to monitor and compare hospital quality. Because the standardization method is indirect, the comparisons are most relevant from a societal perspective but less so from an individual perspective. We find evidence of comparatively higher HSMRs in academic hospitals. This may result from (good quality) high-risk procedures, low quality of care or inadequate case-mix correction.

Consumer channeling by health insurers: Natural experiments with preferred providers in the Dutch pharmacy market (Article)

2008-03-01T00:00:00Z

Consumer channeling is an important element in the insurer-provider bargaining process. Health insurers can influence provider choice by offering insurance contracts with restricted provider networks. Alternatively, they can offer contracts with unrestricted access and use incentives to motivate consumers to visit preferred providers. Little is known, however, about the effectiveness of this alternative strategy of consumer channeling. Using data from two natural experiments in the Dutch pharmacy market, we examine how consumers respond to incentives used by health insurers to influence their choice of provider. We find that consumers are sensitive to rather small incentives and that temporary incentives may sort a long-term effect on provider choice. In addition, we find that both consumer and provider characteristics determine whether consumers are willing to switch to preferred pharmacies.

Priority setting using multiple criteria: Should a lung health programme be implemented in Nepal? (Article)

2007-05-01T00:00:00Z

Objectives: To identify and weigh the various criteria for priority setting, and to assess whether a recently evaluated lung health programme in Nepal should be considered a priority in that country. Methods: Through a discrete choice experiment with 66 respondents in Nepal, the relative importance of several criteria for priority setting was determined. Subsequently, a set of interventions, including the lung health programme, was rank ordered on the basis of their overall performance on those criteria. Results: Priority interventions are those that target severe diseases, many beneficiaries and people of middle-age, have large individual health benefits, lead to poverty reduction and are very cost-effective. Certain interventions in tuberculosis control rank highest. The lung health programme ranks 13th out of 34 interventions. Conclusion: This explorative analysis suggests that the lung health programme is among the priorities in Nepal when taking into account a range of relevant criteria for priority setting. The multi-criteria approach can be an important step forward to rational priority setting in developing countries. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine

The Effect of Growth and Inequality in Incomes on Health Inequality: Theory and Empirical Evidence from the European Panel (Research Paper)

2006-12-12T00:00:00Z

Europe aims at combining income growth with improvements in social cohesion as measured by income and health inequalities. 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 held in Europe in the nineties using panel data from the European Community Household Panel surveys. We use pooled interval regressions and inequality decompositions to demonstrate that (i) in all countries except Austria, the income elasticity of health is positive and increases with income, and (ii) that income growth was not pro-rich in most EU countries, resulting in little or no reductions in income inequality and modest increases in income-related health inequality in the majority of countries.

Socioeconomic Inequality in Health and Health Care: Measurement and Explanation (Doctoral Thesis)

2006-05-12T00:00:00Z

Health and Wealth: Empirical Findings and Political Consequences (Article)

2006-02-01T00:00:00Z

There is increasing concern that equity in health and health care in Europe may suffer as a result of the expansion of the European Union and the ageing of its populations. This article reviews the findings of the "ECuity III" project: a network of European health economists who have investigated socioeconomic inequalities in health and health care. In order to help inform the policy debate about how to secure health equity in our ageing European societies, the project pays particular attention to the key decisions about income, health and health care in age groups around the retirement age, as these prove to be crucial for a better understanding of cross‐country differences in inequalities.

Inequalities in access to medical care by income in developed countries. (Article)

2006-01-17T00:00:00Z

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.

On the interpretation of a concentration index of inequality (Article)

2004-07-01T00:00:00Z

This paper aims to add a more intuitive understanding to the concept of a concentration index for measuring relative inequality with an application of health-related measures by income. A new redistribution interpretation and an existing redistribution interpretation of the Gini are presented and applied to the concentration index. Both indicate the share of the total amount of any variable that needs redistributing in a particular way from rich to poor (or vice versa) to achieve a concentration index equal to zero. The characteristics of these redistribution schemes are compared. The paper also draws attention to the relationship between a concentration index, a correlation coefficient with relative income rank and a coefficient of variation of the variable of interest. These relationships are illustrated using data on inequality in dental care utilisation in European countries taken from the European Community Household Panel survey.

Explaining the differences in income-related health inequalities across European countries (Article)

2004-07-01T00:00:00Z

This paper provides new evidence on the sources of differences in the degree of income-related inequalities in self-assessed health in 13 European Union member states. It goes beyond earlier work by measuring health using an interval regression approach to compute concentration indices and by decomposing inequality into its determining factors. New and more comparable data were used, taken from the 1996 wave of the European Community Household Panel. Significant inequalities in health (utility) favouring the higher income groups emerge in all countries, but are particularly high in Portugal and - to a lesser extent - in the UK and in Denmark. By contrast, relatively low health inequality is observed in the Netherlands and Germany, and also in Italy, Belgium, Spain Austria and Ireland. There is a positive correlation with income inequality per se but the relationship is weaker than in previous research. Health inequality is not merely a reflection of income inequality. A decomposition analysis shows that the (partial) income elasticities of the explanatory variables are generally more important than their unequal distribution by income in explaining the cross-country differences in income-related health inequality. Especially the relative health and income position of non-working Europeans like the retired and disabled explains a great deal of excess inequality. We also find a substantial contribution of regional health disparities to socio-economic inequalities, primarily in the Southern European countries.