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The use of behavioral insights and experimental methods has recently gained momentum among health policy-makers. There is a tendency, however, to reduce behavioral insights applications in health to “nudges,” and to reduce experiments in health to “randomized controlled trials” (RCTs). We argue that there is much more to behavioral insights and experimental methods in health economics than just nudges and RCTs. First, there is a broad and rich array of complementary experimental methods spanning the lab to the field, and all of them could prove useful in health economics. Second, there are a host of challenges in health economics, policy, and management where the application of behavioral insights and experimental methods is timely and highly promising. We illustrate this point by describing applications of experimental methods and behavioral insights to one specific topic of fundamental relevance for health research and policy: the experimental elicitation and econometric estimation of risk and time preferences. We start by reviewing the main methods of measuring risk and time preferences in health. We then focus on the “behavioral econometrics” approach to jointly elicit and estimate risk and time preferences, and we illustrate its state-of-the-art applications to health.

The Whole Child Initiative (WCI) was developed over the past 15 years as a blueprint to promote long-term development and success of all children, as well as their families and communities. This chapter describes three aspects of the WCI model: (a) the need for a public health approach to sustainable, communitywide change targeting the whole child; (b) a clear, future-oriented vision for equipping educators, caregivers, and service providers with the skills and attitudes required to deliver high-quality instruction; and (c) the infusion of social and emotional learning practices to transform environments in which youth live and play. We provide examples of how schools, communities, and families can come together to create a common culture fostering stable and nurturing relationships essential for enhancing youth well-being. We close with recommended “super strategies” – low-cost, simple, and effective practices that can be broadly implemented to keep every child healthy, safe, engaged, supported, and challenged in the community at large.

Since health behaviors of elderly Asian Americans are often underreported, the study, based on the health behavioral model (Andersen’s model), was to examine if there is a reciprocal relationship between healthcare utilization and health outcomes, and how social characteristics play their role in this relationship between US-born and foreign-born elderly Asian Americans.

Using structural equation modeling, this research examined the proposed hypotheses which consisted of direct and indirect effects among health outcomes, healthcare utilization and social characteristics, as well as the disparities of the effects between US-born and foreign-born elderly Asian Americans (65 + ). A sample size of elderly Asian Americans was divided into a US-born group (N = 1,305) and a foreign-born group (N = 4,902) from the National Health Interview Survey (NHIS) 1998–2012. Health outcomes consisted of current health status and health change. Healthcare utilization included general doctor visit, ER, and mental health professional visit. Social characteristics of population included predisposing characteristics (such as age, sex, marital status, and region of residency) and enabling resources (such as education, family size, and family income).

Results from the study indicated that first, there was a reciprocal relationship between health outcomes and healthcare utilization for both groups. Second, predisposing characteristics had a direct effect on health outcomes, and enabling resources had an indirect effect on health outcomes via healthcare utilization. In addition, living in the West had both direct and indirect effects on health outcomes. Third, regarding disparities of the effects between both groups, the US-born elderly are more likely to attain health benefits from healthcare utilization and their social characteristics than the foreign-born. As a result, the interactive relationship between health outcomes, healthcare utilization, and social characteristics, as well as disparities of healthcare outcomes through health utilization and social characteristics for elderly Asian Americans is highlighted.

First, due to the design of NHIS, this research was limited to fully present the needs and more characteristics of elderly Asian Americans. This shows the great need for a large scale, representative study for health behaviors of elderly Asian Americans. Second, in the dataset, the study was limited to explore health behaviors of elderly Asian Americans into each Asian ethnic subgroup. Since the culture of Asian Americans is heterogeneous, it is recommended that future research can explore differences and commonalities of the health behaviors between Asian subgroups. Third, based on the health behavioral model and the design of the dataset, this study was limited to illustrate variations of life experiences between both groups. These differences regarding their needs and desires for healthcare services and health outcomes can become an important foundation for service providers and policy makers to provide appropriate services that improve the quality of the later lives of elderly Asian Americans.

First, the study applied the health behavioral model and proved that the effect of healthcare utilization and social characteristics on health outcomes is greater for the US-born elderly Asian Americans than for the foreign-born. Second, this study confirmed that the healthcare services in US society are still beneficial for the health outcomes of elderly Asian Americans. Third, the study found that when family is used to explain the social behaviors of elderly Asian Americans, researchers need to be more careful to identify various family factors in accordance to its dynamics, such as interpersonal relationship, material supply, and emotional support.

To determine gendered patterns of preventive medical care (physical and dental/optical) use among pan-ethnic U.S. Asian and Latino adults.

Using National Latino and Asian American Study (2004) data, we apply Andersen’s (1995) Behavioral Model of Health Services Use to assess how preventive care use among Asian and Latino men and women varies as a function of predisposing, enabling, and need-based characteristics. We explore whether adjustment for these factors mediates gender disparities in both physical and dental/optical check-ups, and test whether certain factors operate differently among men versus women.

A higher proportion of women reported a routine care visit last year, especially among Latinos. Adjusting for predisposing, enabling, and need-based factors explained the gender difference in reporting a dental/optician check-up, but not a physical check-up, among both Asian and Latino adults.

Our findings illustrate how gender patterns in routine care use differ by race/ethnicity, and highlight the fundamental importance of enabling characteristics (especially health insurance and having a regular doctor) for shaping routine care use between men and women, both Asian and Latino. Limitations of this chapter are that the data are cross-sectional and were collected before the implementation of the Affordable Care Act, and measures are self-reported.

This chapter focuses on Asian and Latinos because they represent the fastest growing minority populations in the United States, yet few studies have evaluated gender differences in preventative health care use among these groups.

The authors speculate only about relatively short-term advances in special education for students with emotional and behavioral disorders. Speculation is confined to the overlapping areas of core values, technologies, neuroscience, and law/policy. In core values, the authors hope to see a resurgence of commitment to special, effective instruction and to practice aligned with scientific evidence. It is hoped that technologies will advance practices in instruction, improve the uses of artificial intelligence in teacher training and teaching, and encourage the appropriate use of artificial reproduction to avoid disorders. Neuroscience, it is hoped, will yield more reliable and helpful classification of disorders, better and more useful imaging, and more effective treatment of a variety of emotional, behavioral, and academic problems. In law and policy, the authors hope the Supreme Court's Endrew case will result in greater focus on challenging, appropriate education. Law and policy should also encourage trauma sensitivity in education, make whole-school approaches to trauma sensitivity the priority, and avoid universal trauma screening. Students' and families' legitimate interests in confidentiality and data privacy should be protected in newly constructed information-sharing infrastructures.

Health-seeking behaviors (HSB) for infertility are influenced my multiple factors. The Behavioral Model of Health Services Utilization states that enabling resources and predisposing factors are essential in predicting HSB, and this study examined the relationship between state-level mandates that insurance providers cover infertility service on the rates of HSB for infertility among a nationally representative sample of women.

This study used data from the National Survey of Family Growth, identified 15 states with state-level mandates as enabling resources, and used sociodemographic characteristics as predisposing resources. Using discrete-time event-history analyses, and retrospective accounts of infertility HSB, these variables were examined to determine if residing in a state with state-level insurance mandates would increase the likelihood of HSB for infertility.

Results indicated an impact of state-level mandates on HSB for infertility. Specifically, the rates of HSB for infertility were higher among women residing in states with state-level mandates.

A limitation in this research stems from a data restriction that forced identifying a place-of-residence before or after 2000. To overcome this, multiple analyses, and a nested model comparison were tested to measure the effect of state-level mandates on HSB.

The comparative analysis of the rates of HSB for women residing in states with state-level mandates has not been considered before, and the results provide further detail into the infertility experience for women and their partners.

Food insecurity and hunger are found to have important adverse mental health effects, and have been of particular interest to epidemiologists and public health scholars. The primary goal of the present study is to expand our understanding of the mental health effects of food insecurity by assessing gender-based disparities among a nationally-representative sample of U.S. adults.

Using data from the combined 2011-2012 and 2013-2014 cycles of The National Health and Nutrition Examination Survey (NHANES) (N=11,539), we estimated multiple ordinary least squares and binomial models using adult food insecurity measures and self-reported gender as main predictors of depressive symptoms and alcohol use.

Our results demonstrate that food insecurity is associated with depressive symptoms but not alcohol consumption. Additionally, we found an association between food insecurity and increased psychological distress among women relative to men. In contrast, no evidence of a difference in the association between food insecurity and alcohol use was observed across the two genders, indicating that experiences of food insecurity are particularly salient for psychological health among women.

These findings add to the growing literature that household food insecurity has serious mental health consequences, and extend this work by clarifying ways in which gender accounts for differences in the association between food insecurity and psychological and behavioral outcomes.

Systems of care and evidence-based practice possess distinct histories. Though each developed out of attempts to improve services to youth with emotional and behavioral disorders, they did so from perspectives so different as to appear diametrically opposed. Service systems exist at multiple levels, including the practice, program, and system levels (Rosenblatt, 1988, 2005; Rosenblatt & Woodbridge, 2003). Research on health and mental health service systems similarly varies, often by level of the service system, with the research methods, independent and dependent variables, populations of interest, and ultimately the consumers of the research product interacting differentially in the creation and understanding of what constitutes a knowledge base for service delivery. Systems of care and, with limited exceptions, evidence-based practices exist at different levels of the service delivery structure, require and derive from different research approaches, and speak to overlapping but historically different audiences.

The objectives of the current interim report are to measure the extent of the access to care problem, identify and compare the types of patient- and system-based barriers experienced by Vietnam veterans at risk for suicide when seeking care for physical, psychiatric, and substance abuse conditions, analyze patient-perceived quality of care for individuals who obtained access to care, and identify how the care-seeking experience effected future care seeking. This study is based on a longitudinal sample of 494 Vietnam veterans discharged from military service in September 1971 and subsequently identified as at risk for suicide (306 low risk; 188 high risk). Seventy-one percent (350) of 494 participants completed an extensive qualitative and quantitative interview covering, among other topics, physical conditions, psychiatric conditions, substance use, barriers to care, facilitators of care, and quality of care. Barriers, satisfaction, and effect of the experience were compared by type of condition and suicidal risk category using χ2 analysis and Fisher's as appropriate. The analysis is based on 257 interviews (73 percent) with qualitative data transcribed thus far. Results: Of the 195 patients with self-reported health conditions, 76 (39.0 percent) and 45 (23.1 percent) expressed system-based barriers to care, respectively. The group at higher risk of suicide was significantly more likely (p<0.01) to report patient-based barriers to care and system-based barriers to care (p<0.05), and more likely (p<0.05) to experience negative effects of the care-seeking experience. Both self-perceived and system-based barriers to care pose obstacles for patients at high risk of suicide. Targeted interventions are required to reach out to these patients to address needs for care currently unmet by the health care system and to reduce negative effects of the health care experience.