Health Decision-Making in the Aftermath of Disaster

灾后的健康决策

• 批准号: 10407021
• 负责人: Dean Yang
• 金额: $ 64.15万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-20 至 2026-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10407021
• 关键词: Affect; Africa; Area; Baseline Surveys; Behavior; Belief; COVID-19; Child; Clinic; Communicable Diseases; Communities; Control Groups; Crime; Data; Decision Making; Deterioration; Developed Countries; Developing Countries; Devices; Disasters; Disease; Economics; Evaluation; Exposure to; Funding; Future; Health; Health Services; Heterogeneity; Household; Human; Hurricane; Incidence; Income; Individual; Infection; Interruption; Intervention; Lead; Light; Measurement; Measures; Mediating; Mediator of activation protein; Mozambique; Natural Disasters; Outcome; Persons; Pharmaceutical Preparations; Play; Policies; Population; Post-Traumatic Stress Disorders; Poverty; Prevalence; Province; Psychological Factors; Psychology; Public Health; Randomized; Recovery; Regimen; Resistance development; Risk; Role; Running; Sampling; Selection Bias; Sex Behavior; Sexual Transmission; Sexually Transmitted Diseases; Shock; Stress; Surveys; Testing; Time; Unsafe Sex; Violence; Visit; Weather; base; behavior test; behavioral economics; design; follow-up; food security; frontier; high risk sexual behavior; improved; insight; interest; novel; optimism; preference; programs; protective effect; public health intervention; response; secondary outcome; sex; study population; support network; tool; transmission process; treatment effect; treatment group

Abstract How do disasters affect health decision-making? Do disaster impacts operate, at least in part, through changes in economic preferences and psychological factors? Can public health programs help shield communities from the impacts of disasters? We pursue these questions by studying a major disaster that struck in the midst of a randomized evaluation we are conducting of a community-level public health program in Mozambique. Prior to the disaster, in 2017-2018, this study team had administered a baseline survey of approximately 4,500 households, and had facilitated random assignment of the program, Força à Comunidade e Crianças (FCC, “Strengthening Communities and Children”). Out of 76 communities, half were assigned to the treatment group, receiving the FCC program; the remainder serve as the control group. In March 2019, Cyclone Idai, the most destructive cyclone ever recorded in Africa, struck our study areas. The FCC program implements an interrelated set of health, educational, and economic interventions. Households are connected to community support networks, encouraged to visit and use local public health clinics, provided with information to improve health decision-making, and participate in microfinance programs. We first estimate human and economic losses, as well as impacts on risky sexual behaviors (including transactional sex), sexually transmitted infection (STI) testing, STI incidence, and COVID-19-related outcomes. We estimate impacts in a survey sample determined prior to the disaster, and are thus able to deal with selection biases (e.g., differential sample inclusion based on disaster exposure) that otherwise compromise treatment effect estimates. Impact estimates will exploit heterogeneity in hurricane exposure across study communities. Then, we will study impacts on individual preferences and psychological factors that may mediate the effects of disasters on health decision- making. Examining motivated belief biases (in this context, over-optimism maintained by health risk denial) is particularly novel; it is a new behavioral economics frontier but has not been empirically evaluated in health- related contexts. Our measurement tools are piloted, refined, and ready for large-scale implementation. Finally, we will assess whether the FCC program helps shield communities from the negative impacts of disaster exposure on risky sexual behaviors; STI testing, prevalence, and treatment; and on COVID-19-related outcomes. Causal inference will rely on the pre-disaster random assignment of the FCC program. We will also examine mechanisms through which the program achieves its protective effects. This project's findings can help guide the design of public health programs in the future. Insights into the economics and psychology of post-disaster decision-making can suggest novel interventions to mitigate disaster-induced deterioration of health decisions. Evidence on whether and how public health programs shield people from disasters can provide guidance on their optimal design.

摘要