TL;DR: In the most important health insurance study ever conducted researchers at the RAND Corporation devised all experiment to address two key questions in health care financing: how much more medical care will people use if it is provided free of charge, and what are the consequences for their health? For three or five-year periods the experiment measured both use and health outcomes in populations carefully selected to be representative of both urban and rural regions throughout the United States.
Abstract: In the most important health insurance study ever conducted researchers at the RAND Corporation devised all experiment to address two key questions in health care financing: how much more medical care will people use if it is provided free of charge, and what are the consequences for their health? For three- or five-year periods the experiment measured both use and health outcomes in populations carefully selected to be representative of both urban and rural regions throughout the United States. Participants were enrolled in a range of insurance plans requiring different levels of copayment for medical care, from zero to 95 percent. The researchers found that in plans that reimbursed a higher proportion of the bill, patients used substantially more services - indeed, those who paid nothing used 40 percent more services than those required to pay a high deductible - but the effect on the health of the average person was negligible. In addition, participants who were assigned at random to a well-established health maintenance organization used hospitals substantially less than those in the fee-for-service system, again with no measurable effect on the health of the average person. This book collects in one place for the first time results previously dispersed through many journals over many years. Drawing comprehensive, coherent conclusions from an immense amount of data, it is destined to be a classic work serving as an invaluable reference for all those concerned with health care policy - health service researchers, policymakers in both the public and the private sectors, and students.
TL;DR: Insured patients undergoing cancer treatment and seeking copayment assistance experience considerable subjective financial burden, and they may alter their care to defray out-of-pocket expenses.
Abstract: Purpose.
Cancer patients carry rising burdens of health care-related out-of-pocket expenses, and a growing number of patients are considered “underinsured.” Our objective was to describe experiences of insured cancer patients requesting copayment assistance and to describe the impact of health care expenses on well-being and treatment.
TL;DR: In this article, the authors present empirical results on moral hazard in demand for medical care, using a longitudinal dataset on 4578 individuals followed during two years, and test if the number of visits per agent was modified by this copayment rate.
TL;DR: The copayment increase adversely affected lipid-lowering medication adherence among veterans, including those at high coronary heart disease risk.
Abstract: Background— In February 2002, the Department of Veterans Affairs (VA) increased copayments from $2 to $7 per 30-day drug supply of each medication for many veterans. We examined the impact of the copayment increase on lipid-lowering medication adherence. Methods and Results— This quasiexperimental study used electronic records of 5604 veterans receiving care at the Philadelphia VA Medical Center from November 1999 to April 2004. The all copayment group included veterans subject to copayments for all drugs with no annual cap. Veterans subject to copayments for drugs only if indicated for a non–service-connected condition with an annual cap of $840 for out-of-pocket costs made up the some copayment group. Veterans who remained copayment exempt formed a natural control group (no copayment group). Patients were identified as adherent if the proportion of days covered with lipid-lowering medications was ≥80%. Patients were identified as having a continuous gap if they had at least 1 continuous episode with no ...
TL;DR: Policy recommendations related to the improvement of the benefit distribution of CBI schemes are made based on the results from this study, which concluded that wealthy farmers benefit the most from the CBI with low premium and high co-payment features at every level of health status.
Abstract: The collapse of China’s Cooperative Medical System (CMS) in 1978 resulted in the lack of an organized financing scheme for health care, adversely affecting rural farmers’ access to health care, especially among the poor. The Chinese government recently announced a policy to re-establish some forms of community-based insurance (CBI). Many existing schemes involve low premiums but high co-payments. We hypothesized that such benefit design leads to unequal distribution of the ‘net benefits’ (NB) – benefits net of payment – because even though low premiums are more affordable to poor farmers, high co-payments may have a significant deterrent effect on the poor in the use of services in CBI. To test this hypothesis empirically, we estimated the probability of farmers joining a re-established CBI using logistic regression, and the utilization of health care services for those who joined the scheme using the two-part model. Based on the estimations, we predicted the distribution of NB among those who joined the CBI and for the entire population in the community. Our data came from a household survey of 4160 members of 1173 households conducted in six villages in Fengshan Township, Guizhou Province, China. Three principal findings emerged from this study. First, income is an important factor influencing farmers’ decision to join a CBI despite the premium representing a very small fraction of household income. Secondly, both income and health status influence enrolees’ utilization of health services: richer/sicker participants obtain greater NB from the CBI than poorer/healthier members, meaning that the poorer/healthier participants subsidize the rich/sick. Thirdly, wealthy farmers benefit the most from the CBI with low premium and high co-payment features at every level of health status. In conclusion, policy recommendations related to the improvement of the benefit distribution of CBI schemes are made based on the results from this study.