{"title":"想象一下:让有需要的人更容易选择医疗保险","authors":"Ana Cecilia Quiroga Gutierrez","doi":"10.1016/j.socec.2024.102223","DOIUrl":null,"url":null,"abstract":"<div><p>Informed health insurance choices are important since they have significant health and financial consequences. Personalized information has been found to improve health insurance decision quality, and ensuring that it benefits vulnerable groups is essential. This study uses experimental data and random forests, to investigate heterogeneous treatment effects of optional personalized information for health insurance decision-support. During the experiment, participants with lower levels of Health Insurance Literacy and less accumulated wealth were less likely to access personalized information when multiple sources were available. Simultaneously, these participants were also found to benefit the most from personalized information, especially when presented using a graphical format, reducing their expected costs significantly. These results hold important implications for policy and practice. Integration of graphical elements into health insurance choice environments, can help individuals make better-informed choices. Additionally, concerted efforts should be made to ensure vulnerable groups have access to the information and support they need.</p></div>","PeriodicalId":51637,"journal":{"name":"Journal of Behavioral and Experimental Economics","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214804324000612/pdfft?md5=391118a73a9442d0cbb7289e1616bf18&pid=1-s2.0-S2214804324000612-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Picture this: Making health insurance choices easier for those who need it\",\"authors\":\"Ana Cecilia Quiroga Gutierrez\",\"doi\":\"10.1016/j.socec.2024.102223\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Informed health insurance choices are important since they have significant health and financial consequences. Personalized information has been found to improve health insurance decision quality, and ensuring that it benefits vulnerable groups is essential. This study uses experimental data and random forests, to investigate heterogeneous treatment effects of optional personalized information for health insurance decision-support. During the experiment, participants with lower levels of Health Insurance Literacy and less accumulated wealth were less likely to access personalized information when multiple sources were available. Simultaneously, these participants were also found to benefit the most from personalized information, especially when presented using a graphical format, reducing their expected costs significantly. These results hold important implications for policy and practice. Integration of graphical elements into health insurance choice environments, can help individuals make better-informed choices. Additionally, concerted efforts should be made to ensure vulnerable groups have access to the information and support they need.</p></div>\",\"PeriodicalId\":51637,\"journal\":{\"name\":\"Journal of Behavioral and Experimental Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2214804324000612/pdfft?md5=391118a73a9442d0cbb7289e1616bf18&pid=1-s2.0-S2214804324000612-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Behavioral and Experimental Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214804324000612\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral and Experimental Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214804324000612","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
Picture this: Making health insurance choices easier for those who need it
Informed health insurance choices are important since they have significant health and financial consequences. Personalized information has been found to improve health insurance decision quality, and ensuring that it benefits vulnerable groups is essential. This study uses experimental data and random forests, to investigate heterogeneous treatment effects of optional personalized information for health insurance decision-support. During the experiment, participants with lower levels of Health Insurance Literacy and less accumulated wealth were less likely to access personalized information when multiple sources were available. Simultaneously, these participants were also found to benefit the most from personalized information, especially when presented using a graphical format, reducing their expected costs significantly. These results hold important implications for policy and practice. Integration of graphical elements into health insurance choice environments, can help individuals make better-informed choices. Additionally, concerted efforts should be made to ensure vulnerable groups have access to the information and support they need.
期刊介绍:
The Journal of Behavioral and Experimental Economics (formerly the Journal of Socio-Economics) welcomes submissions that deal with various economic topics but also involve issues that are related to other social sciences, especially psychology, or use experimental methods of inquiry. Thus, contributions in behavioral economics, experimental economics, economic psychology, and judgment and decision making are especially welcome. The journal is open to different research methodologies, as long as they are relevant to the topic and employed rigorously. Possible methodologies include, for example, experiments, surveys, empirical work, theoretical models, meta-analyses, case studies, and simulation-based analyses. Literature reviews that integrate findings from many studies are also welcome, but they should synthesize the literature in a useful manner and provide substantial contribution beyond what the reader could get by simply reading the abstracts of the cited papers. In empirical work, it is important that the results are not only statistically significant but also economically significant. A high contribution-to-length ratio is expected from published articles and therefore papers should not be unnecessarily long, and short articles are welcome. Articles should be written in a manner that is intelligible to our generalist readership. Book reviews are generally solicited but occasionally unsolicited reviews will also be published. Contact the Book Review Editor for related inquiries.