Letteratura scientifica selezionata sul tema "Behavioral health insurance"

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Articoli di riviste sul tema "Behavioral health insurance":

1

Baicker, Katherine, Sendhil Mullainathan e Joshua Schwartzstein. "Behavioral Hazard in Health Insurance *". Quarterly Journal of Economics 130, n. 4 (15 luglio 2015): 1623–67. http://dx.doi.org/10.1093/qje/qjv029.

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Abstract A fundamental implication of standard moral hazard models is overuse of low-value medical care because copays are lower than costs. In these models, the demand curve alone can be used to make welfare statements, a fact relied on by much empirical work. There is ample evidence, though, that people misuse care for a different reason: mistakes, or “behavioral hazard.” Much high-value care is underused even when patient costs are low, and some useless care is bought even when patients face the full cost. In the presence of behavioral hazard, welfare calculations using only the demand curve can be off by orders of magnitude or even be the wrong sign. We derive optimal copay formulas that incorporate both moral and behavioral hazard, providing a theoretical foundation for value-based insurance design and a way to interpret behavioral “nudges.” Once behavioral hazard is taken into account, health insurance can do more than just provide financial protection—it can also improve health care efficiency.
2

Colloff, Edwin. "Behavioral Economics and Health Insurance Reform". JAMA 318, n. 10 (12 settembre 2017): 964. http://dx.doi.org/10.1001/jama.2017.10548.

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Goldman, Howard H., Richard G. Frank, M. Audrey Burnam, Haiden A. Huskamp, M. Susan Ridgely, Sharon-Lise T. Normand, Alexander S. Young et al. "Behavioral Health Insurance Parity for Federal Employees". New England Journal of Medicine 354, n. 13 (30 marzo 2006): 1378–86. http://dx.doi.org/10.1056/nejmsa053737.

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Skinner, Jonathan, e Kevin G. Volpp. "Behavioral Economics and Health Insurance Reform—Reply". JAMA 318, n. 10 (12 settembre 2017): 965. http://dx.doi.org/10.1001/jama.2017.10556.

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Mamun, Abdullah Al, Muhammad Khalilur Rahman, Uma Thevi Munikrishnan e P. Yukthamarani Permarupan. "Predicting the Intention and Purchase of Health Insurance Among Malaysian Working Adults". SAGE Open 11, n. 4 (ottobre 2021): 215824402110613. http://dx.doi.org/10.1177/21582440211061373.

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This study explored the effects of insurance literacy, perceived usefulness, attitude toward health insurance, subjective norm, and perceived behavioral control on the intention to purchase and the actual purchase of health insurance among working adults in Malaysia. This quantitative study adopted the cross-sectional design with data gathered from 1,308 working adults through a Google form link shared in social media. Upon analysis, the outcomes revealed that insurance literacy, perceived usefulness, attitude toward health insurance, subjective norm, and perceived behavioral control exerted a significantly positive effect on the intention to purchase health insurance. Intention to purchase health insurance exhibited a significantly positive impact on actual purchase of health insurance. Empirically, intention to purchase health insurance yielded a significantly positive mediating effect. Based on the multi-group analysis (MGA), the perceived behavioral control was significantly stronger among rural respondents than urban respondents, as well as among respondents with a bachelor degree than those with secondary school certificate. Referring to the retrieved empirical outputs, financial and health management policymakers, as well as insurance companies in Malaysia should concentrate more on the positive attributes of health insurance in order to improve the attitude of Malaysian working adults toward insurance and insurance literacy.
6

Sree Hari Rao, V., e Murthy V. Jonnalagedda. "Insurance Dynamics – A Data Mining Approach for Customer Retention in Health Care Insurance Industry". Cybernetics and Information Technologies 12, n. 1 (1 marzo 2012): 49–60. http://dx.doi.org/10.2478/cait-2012-0004.

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Abstract Extraction of customer behavioral patterns is a complex task and widely studied for various industrial applications under different heading viz., customer retention management, business intelligence and data mining. In this paper, authors experimented to extract the behavioral patterns for customer retention in Health care insurance. Initially, the customers are classified into three general categories - stable, unstable and oscillatory. To extract the patterns the concept of Novel index tree (a variant of K-d tree) clubbed with K-Nearest Neighbor algorithm is proposed for efficient classification of data, as well as outliers and the concept of insurance dynamics is proposed for analyzing customer behavioral patterns
7

Loewenstein, George, David Hagmann, Janet Schwartz, Keith Ericson, Judd B. Kessler, Saurabh Bhargava, Jennifer Blumenthal-Barby et al. "A Behavioral Blueprint for Improving Health Care Policy". Behavioral Science & Policy 3, n. 1 (aprile 2017): 53–66. http://dx.doi.org/10.1177/237946151700300106.

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Behavioral policy to improve health and health care often relies on interventions, such as nudges, which target individual behaviors. But the most promising applications of behavioral insights in this area involve more far-reaching and systemic interventions. In this article, we propose a series of policies inspired by behavioral research that we believe offer the greatest potential for success. These include interventions to improve health-related behaviors, health insurance access, decisions about insurance plans, end-of-life care, and rates of medical (for example, organ and blood) donation. We conclude with a discussion of new technologies, such as electronic medical records and web- or mobile-based decision apps, which can enhance doctor and patient adherence to best medical practices. These technologies, however, also pose new challenges that can undermine the effectiveness of medical care delivery.
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Barrett, Kirsten, e Jeffrey Legg. "Demographic and Health Factors Associated with Mammography Utilization". American Journal of Health Promotion 19, n. 6 (luglio 2005): 401–5. http://dx.doi.org/10.4278/0890-1171-19.6.401.

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Purpose. The purpose of this study was to determine the frequency of mammography utilization among women in 2002 and to compare it with Healthy People 2010 targets. Relationships between demographic and health factors and utilization were explored. Methods. This study used data from 93,657 women completing the 2002 Behavioral Risk Factor Surveillance Survey, a population-based telephone survey measuring behavioral risk factors. Relationships between demographic and health factors and mammography utilization were explored by bivariate and logistic regression analyses. Results. Seventy-six percent of women reported having had a mammogram within the past 2 years. Utilization was significantly associated with age; ethnicity; race; education; income; employment; perceived health; health insurance coverage; access to physicians; and receipt of basic, preventive health care services. When controlling for other factors, women who had a personal doctor, had health insurance, had higher incomes, and were older had the greatest odds of having received a mammogram within the past 2 years. Conclusions. This assessment indicates that, overall, the Healthy People 2010 mammography utilization target is being met. However, though utilization is improving for some at-risk groups, women without health insurance; women without a personal doctor; and women not receiving basic, preventive care fall short of the Healthy People 2010 target.
9

Baillon, Aurélien, Aleli Kraft, Owen O’Donnell e Kim van Wilgenburg. "A behavioral decomposition of willingness to pay for health insurance". Journal of Risk and Uncertainty 64, n. 1 (febbraio 2022): 43–87. http://dx.doi.org/10.1007/s11166-022-09371-2.

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AbstractDespite widespread exposure to substantial medical expenditure risk in low-income populations, health insurance enrollment is typically low. This is puzzling from the perspective of expected utility theory. To help explain it, this paper introduces a decomposition of the stated willingness to pay (WTP) for insurance into its fair price and three behavioral deviations from that price due to risk perception and risk attitude consistent with prospect theory, plus a residual. To apply this approach, we elicit WTP, subjective distributions of medical expenditures and risk attitude (utility curvature and probability weighting) from Filipino households in a nationwide survey. We find that the mean stated WTP of the uninsured is less than both the actuarially fair price and the subsidized price at which public insurance is offered. This is not explained by downwardly biased beliefs: both the mean and the median subjective expectation are greater than the subsidized price. Convex utility in the domain of losses pushes mean WTP below the fair price and the subsidized price, and the transformation of probabilities into decision weights depresses the mean further, at least using one of two specific decompositions. WTP is reduced further by factors other than risk perception and attitude.
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Lin, Shen (Lamson). "Inequities in Access: The Impact of a Segmented Health Insurance System on Physician Visits and Hospital Admissions Among Older Adults in the 2014 China Family Panel Studies". International Journal of Health Services 50, n. 2 (14 agosto 2019): 184–98. http://dx.doi.org/10.1177/0020731419867529.

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The fragmentation of job-based and community-based insurance plans inevitably undermines health care accessibility in China’s market-oriented health system, especially for uninsured and rural residents. Based on the 2014 China Family Panel Studies, this secondary data analysis examined whether socioeconomic indicators, health-related determinants, and particularly social health insurance status affect physician visits in the past 2 weeks and hospital admissions in the past 12 months among a representative sample of older adults (n = 6,570). Grounded in Andersen’s behavioral framework, 2 series of logistic regression analyses were performed: one was built in a hierarchical manner, assessing blocks of predisposing, enabling, health-need, and lifestyle-behavioral factors; the other was conducted in a cross-referencing manner, comparing uninsured populations with job-based and community-based insurance enrollees. Results show that, after full adjustment, the odds of physician visits were lower among urban insurance enrollees (OR = 0.67, 95% CI: 0.47–0.97) than rural residents. For hospital admissions, both uninsured elders (OR = 0.65, 95% CI: 0.48–0.87) and community-based insurance enrollees (OR = 0.67, 95% CI: 0.47–0.97) had lower use of inpatient care than job-based insurance enrollees, demonstrating inequitable access. This study suggests that policy efforts should unify the social health insurance system to combat existing insurance-related inequities in health care use for underserved aging populations.

Tesi sul tema "Behavioral health insurance":

1

Dunlap, Laura J. Norton Edward C. "The relationship between health insurance characteristics and the use of behavioral health treatment services". Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,308.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.
Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Health Policy and Administration, School of Public Health." Discipline: Health Policy and Administration; Department/School: Public Health.
2

Stein, Bradley D. "Drug and alcohol treatment services among privately insured individuals in managed behavioral health care". Santa Monica, CA : RAND, 2003. http://www.rand.org/publications/RGSD/RGSD170/RGSD170.pdf.

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Leung, Yat (Gary) Hung. "Behavioral Health Disorders and the Quality of Diabetes Care: A Dissertation". eScholarship@UMMS, 2010. https://escholarship.umassmed.edu/gsbs_diss/456.

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Both diabetes and behavioral health disorders (mental and substance use disorders) are significant health issues in the United States. While previous studies have shown worse health outcomes in people with diabetes and co-occurring behavioral health disorders (BHDs) than those with diabetes alone, it is unclear whether the quality of diabetes care was poorer in the presence of co-occurring BHDs. Although previous research has observed a trend of positive outcomes in people with comprehensive diabetes care, there is a lack of evidence about whether that mode of care delivery can improve outcomes in people with co-occurring BHDs. Therefore, further studies are necessary. Using a combined dataset from Medicare and Medicaid claims for Massachusetts residents, this study compared the quality of diabetes care (e.g., having at least 1 hemoglobin A1c test) and diabetes outcomes (e.g., eye complications) among Medicare and Medicaid beneficiaries with diabetes and co-occurring BHDs to those with diabetes alone in Massachusetts in 2005. The results showed a mixed picture on the relationships between BHDs and diabetes outcomes. While substance use disorders had adverse impact on adherence to quality measures (e.g., 20% less likely to attain full adherence, p0.05). Findings from this dissertation research suggest that disparities exist in the quality of diabetes care and health outcomes between people with substance use disorders and those without. The mode of care delivery needs to be further examined so that interventions can be designed to improve the outcomes of people with diabetes.
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Al-Shawairkh, Abdulkariem Suliman. "Perceptions of the Saudi Students attending American Universities towards the new Saudi Mandatory Cooperative Health Insurance Program (MCHIP)". VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd_retro/15.

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Reduction in the price of oil in the mid-eighties forced the Saudi government to adopt new health policies in order to finance health services. On August 11, 1999, the Saudi government approved a new Mandatory Cooperative Health Insurance Program (MCHIP). This new health policy was enacted to replace the current policy of providing free health care. MCHIP is intended to reduce the financial burden on government by sharing the costs of health care with the public. This study had a dual purpose: to analyze the components of MCHIP program by comparing it with the American health system, and to investigate the perceptions of Saudi students attending American universities towards MCHIP program, based on the students' experiences with the American health care system.A multiple methods approach was used to conduct the study. A descriptive approach was employed to compare components of the MCHIP program with similar components of the American health care system. A survey method was used to investigate the perceptions of Saudi students attending American universities toward the new MCHIP program. Scales were constructed to measure the students' expectations of the MCHIP program with respect to cost, quality, and access of health care. Additional scales were used to measure the students' knowledge of the MCHIP program, knowledge of the American health system, and total health insurance knowledge. An electronic survey was posted on the VCU SERL Web page, and a link was e-mailed to 2210 Saudi students using a list provided by the Saudi Arabian Cultural Mission (SACM). The survey response rate was 40.6 percent.During the first phase of the research, the comparison to American health care identified areas in which the United States of America experience could be useful in promoting effective implementation of the MCHIP program in Saudi Arabia. In sum, the comparison indicated that the American health insurance model may not be an ideal approach for the Saudi health system. During the second phase of the study, survey results indicated that students expected MCHIP implementation to increase total health costs, improve quality of health care, and increase access to health care in Saudi Arabia. The students' total knowledge of health insurance had a significant effect on students' perceptions of cost and a non-significant effect on their perceptions of quality and access to health care. In order for the MCHIP program to be effectively implemented, study results point to the need for regulation of the Saudi insurance market and for health insurance-related systems (such as for coding, billing, and maintaining effective medical records) to be established. American health insurance system models are not ideal for the Saudi health system, although certain aspects may be useful. To promote success, the MCHIP program should be structured to meet the goal of providing affordable and accessible quality health care to the population, based on Islamic principles.
5

Botkins, Elizbeth R. "Three Essays on the Economics of Food and Health Behavior". The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu149208205990797.

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Rodriguez, Irene. "Factors That Influence Whether Mexican Americans With Depression Seek Treatment". ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5588.

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Mexican Americans, the largest Hispanic subgroup in the United States, tend to underuse mental health services. Grounded in Andersen's behavioral model of health services use, the purpose of this nonexperimental study was to examine the likelihood of birth country, education, income, and insurance predicting which respondents would report seeking mental health services to treat depression. The Mini International Neuropsychiatric Interview was used to diagnose depression in 203 Mexican Americans whose data was archived from the primary study. This archived data was analyzed within this study. The results of the 2 x 2 chi-square tests of independence indicated a significant association between a person's birth country and the likelihood that a person will seek mental health treatment, with U.S.-born participants more likely to seek mental health treatment than foreign-born participants. There were no significant bivariate associations found between education, income, or insurance and seeking mental health treatment. The full model containing the 4 independent variables was statistically significant per the results of the binary logistic regression analysis. This finding indicates that the model reliably distinguished between respondents who reported seeking and not seeking mental health treatment. The results of the binary logistic regression analysis indicated education was the only independent variable that made a uniquely significant contribution to the model, with participants with 12 years or more of education more likely to seek mental health treatment. The implications for positive social change include the potential to provide communities and health care providers knowledge of the factors that influence whether Mexican Americans with depression access mental health.
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Bello, Nathalie Duque. "Balancing Act| Successfully Combining Creativity and Accountability in the Practice of Marriage and Family Therapy". Thesis, Nova Southeastern University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3721959.

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The conditions that allowed early MFTs the freedom to creatively explore different interventions and theories of change are no longer available in today’s mental health care system. Although there are many benefits to the structure of managed behavioral healthcare organizations, a thorough review of the literature demonstrates that many therapists working in managed care agencies struggle with maintaining their theoretical creativity, claiming third-party payers’ service requirements and paperwork a barrier to their creativity. A phenomenological transcendental research method was utilized to understand the phenomenon of successfully combining creativity and accountability in the practice of marriage and family therapy from the perspective of six creative MFTs who have effectively incorporated creative therapeutic techniques into their work, while adhering to the structured requirements of managed care.

The findings and themes of the study were organized into two categories. The themes in the Textural / Content Category (description and purpose of therapeutic creativity at a managed care agency) are: (1) Creatively combining the needs of the clients, the different professional entities, insurance companies and you as a therapist, (2) Translating post-modern information into the medical model language that meets the third-party payers’ requirements, (3) Completing documentation with clients, (4) Incorporating technique from a range of therapy models, (5) Keeping clients engaged through a variety of resources and activities, and (6) Utilizing metaphors and themes to uncover patterns of relational dynamics and behaviors. The themes in the Structural / Supportive Conditions Category (factors that allow the balance of creativity and accountability to occur) are: (1) Systemic understanding of how the therapeutic and business systems of managed behavioral healthcare interact together, (2) Having a supportive network of colleagues, (2a) Supportive group of coworkers within the job setting, (2b) Supportive network of MFT colleagues outside of the work setting, (3) Desire to make a difference in peoples’ lives, (4) Continuous education on all aspects of the mental health field, (5) Employers’ support of creative therapy, (6) Self-reflection, (7) Self-care, and (8) Organization and time management.

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Hill, Shelia Lassiter. "Reducing Health Disparities in African American Communities through Church and Federal Partnerships". ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4636.

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Despite the passage of the Patient Protection and Affordable Care Act (PPACA) in 2010, the Centers for Disease Control and Prevention identified persistent disparities in health care resources as the primary causes of mortality among minority populations. An underexplored resource for affected African American populations is the church, which is not a recognized stakeholder in the implementation of current health care policy. The purpose of this phenomenological case study was to gather perspectives from African American parishioners who lacked sufficient health care insurance on the roles the church could play. Qualitative data management software was used to organize the data (transcripts of interviews) for coding. The purposeful sample of 12 church attendees came from urban, suburban, and rural African American churches. The Andersen behavioral model and Hochbaum's health belief model were used as the conceptual framework for thematic analysis of health care disparities. Kingdon's multiple-stream framework provided theoretical grounds for policy development and revision. Key findings revealed several interrelated health care disparity themes: the significance of insurance coverages, premium costs, financial barriers, family and personal issues, empowerment strategies, religious beliefs, and roles the church could play in promoting quality community health. The study has implications for positive social change: The results include guidance for the development of a bipartisan health care policy that includes the church as a stakeholder. A- partnership between the church and the legislators of health care reform could be a catalyst for improved metrics, trust, accountability, transparency, and opportunities to create tailored health care interventions and thus help alleviate societal health crises.
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Chevan, Julia. "Determinants of Care Seeking for Persons with Low Back and Neck Pain Treated By Physicians, Chiropractors or Physical Therapists". VCU Scholars Compass, 2006. http://hdl.handle.net/10156/1469.

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Redon, Margaux. "L'assurance santé privée à l'épreuve des objets connectés". Electronic Thesis or Diss., Rennes 1, 2021. http://www.theses.fr/2021REN1G017.

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Le développement des objets connectés en santé/bien-être présente un potentiel de bouleversement de l’assurance santé privée, à l’instar d’autres secteurs de l’économie impactés par la numérisation. En effet, les objets connectés offrent techniquement diverses opportunités aux assureurs en santé : individualiser les risques, les segmenter plus finement, profiler pour passer à une logique prédictive, voire moduler les primes en fonction des décaissements anticipés par des informations reflétant le comportement, voire la santé de leurs utilisateurs. Ce potentiel technique ne peut toutefois pas être exploité pour changer le « logiciel » de l’activité d’assurance, en raison de la réglementation française, d’où un quasi-blocage du déploiement des objets connectés dans l’activité d’assurance santé privée sur un marché trop contraint pour intéresser les GAFA.Dès lors, les assurances privées en santé ont cherché à en valoriser l’utilisation dans leur relation avec l’assuré. Aux États-Unis, s’inscrivant dans le mouvement de santéisation, la responsabilisation des assurés a pu conduire à des prescriptions comportementales contrôlées par des objets connectés de santé/bien-être à la fiabilité et sécurité encore imparfaites. En France, cette logique de quantified self, pouvant aller jusqu’à l’observance de prescriptions comme condition de prise en charge, critiquable au regard des déterminants de santé et des inégalités sociales en santé, n’est que très peu explorée par les assureurs en raison d’un environnement juridique différent de celui des États-Unis dont l’un des objectifs est de protéger les personnes contre toute forme de discrimination à raison de leur état de santé
The development of connected objects in the health/wellness sector has the potential to revolutionize private health insurance, just like other sectors of the economy that have been impacted by digitalization. Indeed, connected objects technically offer various opportunities to health insurers: individualizing risks, segmenting them more acutely, profiling, resulting in a predictive logic, and even modulating premiums based on anticipated disbursements relying on information reflecting the behavior or even the health of their users. However, this technical potential cannot be exploited to change the "software" of the insurance business, due to French regulations. Thus, the deployment of connected objects in the private health insurance business is impeded in a market that is too constrained to appeal Gafa.Therefore, private health insurers have sought to enhance the use of connected objects in their relationship with policyholders. In the United States, as part of the so-called “healthism” movement, the accountability of policyholders has led to behavioral prescriptions controlled by connected health/wellness objects whose reliability and security are still imperfect. In France, this logic of quantified self, which can lead to compliance with prescriptions as a condition of coverage, is open to criticism with regard to health determinants and social inequalities in health. It is only very rarely explored by insurers because of a different legal environment from that of the United States, where one of the objectives is to protect individuals against any form of discrimination on the basis of their health status

Libri sul tema "Behavioral health insurance":

1

Minnesota. Legislature. Office of the Legislative Auditor. Program Evaluation Division., a cura di. Insurance for behavioral health care: Program evaluation report. Saint Paul, MN: Program Evaluation Division, Office of the Legislative Auditor, State of Minnesota, 2001.

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2

Sara, Rosenbaum, e Center for Mental Health Services (U.S.), a cura di. Medical necessity in private health plans: Implications for behavioral health care. Rockville, MD: U.S. Dept. of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, 2003.

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Sara, Rosenbaum, e Center for Mental Health Services (U.S.), a cura di. Medical necessity in private health plans: Implications for behavioral health care. Rockville, MD: U.S. Dept. of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, 2003.

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4

Center for Mental Health Services (U.S.). Office of Managed Care, a cura di. Annotated bibliography for managed behavioral health care: 1989-1999 : special report. Rockville, MF (5600 Fishers Lane, Rockville 20857): U.S. Dept. of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, Office of Managed Care, 2000.

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Stein, Bradley D. Drug and alcohol treatment services among privately insured individuals in managed behavioral health care. Santa Monica, CA: RAND, 2003.

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6

Treatment, Virginia State Executive Council Workgroup on the Relinquishment of Custody for the Purpose of Accessing Behavioral Health. Report of the State Executive Council Workgroup on the Relinquishment of Custody for the Purpose of Accessing Behavioral Health Treatment: To the Governor and the General Assembly of Virginia. Richmond, Va: Commonwealth of Virginia, 2004.

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Gustman, Alan L. Employer provided health insurance and retirement behavior. Cambridge, MA: National Bureau of Economic Research, 1993.

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Chou, Shin-Yi. Health insurance and households' precautionary behaviors: An unusual natural experiment. Cambridge, Mass: National Bureau of Economic Research, 2002.

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Bangladesh) Centre of Excellence for Universal Health Coverage (Dhaka. Financial aspects of universal health coverage in Bangladesh: Are we prepared for health insurance? Dhaka, Bangladesh: Centre of Excellence for Health Systems & Universal Health Coverage, BRAC James P Grant School of Public Health (JPGSPH), 2018.

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Marquis, M. Susan. Choice under uncertainty and the demand for health insurance. Santa Monica, CA (P.O. Box 2138, Santa Monica 90406-2138): Rand, 1986.

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Capitoli di libri sul tema "Behavioral health insurance":

1

Orbell, Sheina, Havah Schneider, Sabrina Esbitt, Jeffrey S. Gonzalez, Jeffrey S. Gonzalez, Erica Shreck, Abigail Batchelder et al. "Health Insurance". In Encyclopedia of Behavioral Medicine, 919. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_100762.

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Orbell, Sheina, Havah Schneider, Sabrina Esbitt, Jeffrey S. Gonzalez, Jeffrey S. Gonzalez, Erica Shreck, Abigail Batchelder et al. "Health Insurance: Comparisons". In Encyclopedia of Behavioral Medicine, 920–22. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_889.

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Hjortsberg, Catharina. "Health Insurance: Comparisons". In Encyclopedia of Behavioral Medicine, 1015–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_889.

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Mitchell, Kenneth. "Behavioral Health and Disability Insurance: A Perspective". In Behavioral Health Disability, 219–52. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-09814-2_10.

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Myerson, Rebecca, Tianyi Lu, Anne Peters, Steven Fox e Elbert Huang. "Impact of Health Insurance Policy on Diabetes Management". In Behavioral Diabetes, 491–504. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33286-0_31.

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Sollins, Howard. "Health Insurance Portability and Accountability Act (HIPAA)". In Encyclopedia of Behavioral Medicine, 1014–15. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_113.

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Orbell, Sheina, Havah Schneider, Sabrina Esbitt, Jeffrey S. Gonzalez, Jeffrey S. Gonzalez, Erica Shreck, Abigail Batchelder et al. "Health Insurance Portability and Accountability Act (HIPAA)". In Encyclopedia of Behavioral Medicine, 919–20. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_113.

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Zuvekas, Samuel H. "Financing of Behavioral Health Services: Insurance, Managed Care, and Reimbursement". In Foundations of Behavioral Health, 71–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18435-3_4.

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Kertay, Les. "Managing Behavioral Health in Private Disability Insurance". In Handbook of Behavioral Health Disability Management, 351–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89860-5_14.

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Lee, Li Way, e Aaron Keathley. "Demand Nudges: Wanna Health and/or Funeral Insurance?" In 45 Conversations About Behavioral Economics, 101–3. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05046-6_25.

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Atti di convegni sul tema "Behavioral health insurance":

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Kurnianingtyas, Diva, Budi Santosa e Nurhadi Siswanto. "Structural and Behavioral Validity using a System Dynamic Simulation Approach: The Indonesian National Health Insurance System Problem". In International Conference on Industrial Technology. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0009404300360045.

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SHI, JIAQI, WEIKE CHEN, JIAQI LI, YUQI MA e XIAOYU LIU. "STUDY ON THE CORRELATION EFFECT OF INCOME LEVEL ON CONSUMER PSYCHOLOGY AND INSURANCE BEHAVIOR". In 2021 INTERNATIONAL CONFERENCE ON ADVANCED EDUCATION AND INFORMATION MANAGEMENT (AEIM 2021). Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/dtssehs/aeim2021/35985.

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Abstract. At present, the consumer psychology of some consumers does not match with the insurance behavior because of insufficient income. The performance is that many people who have the intention to insure do not produce the insurance behavior. Therefore, it is one of the insurance marketing strategies that how to break the hesitancy of those people who have the intention to insure to become insurance customers. From the perspective of behavioral economics, this paper puts forward the hypothesis that income level has correlation effect on consumer psychology and insurance behavior, conducts the empirical study, constructs the model of income level—consumer psychology— insurance behavior correlation effect, reveals the transformation mechanism of policy holder’s psychology—willingness—behavior, and puts forward some reasonable suggestions for effectively stimulating consumption to increase the insurance density. Its study value lies in guiding the insurance practice with the basic theory of behavioral insurance, which is helpful for both parties to have a win-win situation and promoting the social security function and coverage of insurance, so as to promote the healthy and orderly development of insurance industry.
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Mehraby, Nazanin, Behzad Soleimani Neysiani, Mohammad Zahiri Nogorani e Parvin Esmaeili Ataabadi. "Abnormal Behavior Detection in Health Insurance Assessment Process". In 2022 8th International Conference on Web Research (ICWR). IEEE, 2022. http://dx.doi.org/10.1109/icwr54782.2022.9786232.

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Nandapala, E. Y. L., K. P. N. Jayasena e R. M. K. T. Rathnayaka. "Behavior Segmentation based Micro-Segmentation Approach for Health Insurance Industry". In 2020 2nd International Conference on Advancements in Computing (ICAC). IEEE, 2020. http://dx.doi.org/10.1109/icac51239.2020.9357282.

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Pangesti, Tri Puji, Didik Gunawan Tamtomo e Bhisma Murti. "Multilevel Logistic Regression Analysis on the Effectiveness of Chronic Disease Management Program in Improving “Cerdik” Healthy Behavior for Hypertensive Patients". In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.04.44.

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ABSTRACT Background: The chronic disease management program (prolanis) was established in Indonesia to help people achieve optimal quality of life with cost-effective and efficient health services. The user targets were national health insurance participants who suffer from chronic disease, including hypertension and diabetes mellitus. This study aimed to examine the effectiveness of prolanis in improving “CERDIK” healthy behavior for hypertensive patients. Subjects and Method: A cross sectional study was carried out at 25 community health centers in Gunungkidul, Yogyakarta, Indonesia, from January to February 2020. A sample of 200 hypertensive patients were selected by stratified random sampling. The dependent variable was healthy behavior. The independent variables were sex, education, family support, peer support, and prolanis. The data were collected by questionnaire and analyzed by a multiple logistic regression run on Stata 13. Results: Healthy behavior in patients with hypertension increased with (b= 1.95; 95% CI= 0.76 to 3.16; p= 0.001), participative in prolanis (b= 3.93; 95% CI= 2.42 to 5.44; p<0.001), strong family support (b= 1.38; 95% CI= 0.09 to 2.67; p= 0.035), strong peer support (b= 0.50; 95% CI= -0.81 to 1.91; p= 0.427), and female (b= 0.89; 95% CI= -0.35 to 2.13; p=0.160). Community health center had contextual effect on healthy behavior with ICC= 27%. Conclusion: Healthy behavior in patients with hypertension increases with high education, participative in prolanis, strong family support, strong peer support, and female. Community health center has contextual effect on healthy behavior. Keywords: chronic disease management program, cerdik health behavior, hypertension. Correspondence: Tri Puji Pangesti. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: tripujipangesti8@gmail.com. Mobile: 082312657779. DOI: https://doi.org/10.26911/the7thicph.04.44
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Dobrovolschi, Marina. "Entrepreneurial Behavior in the Health Tourism Market". In International Scientific Conference ”Development Through Research and Innovation - 2023”, 4nd Edition. Academy of Economic Studies of Moldova, 2024. http://dx.doi.org/10.53486/dri2023.18.

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The health tourism market includes economic sectors with different objects of activity that aim to obtain profit by increasing the number of visitors, turning them into customers, using modern marketing tools, and being one step ahead of the competition. Thus, we encounter sedentary, adaptable, or in-trend behaviors of entrepreneurs who contribute directly or indirectly through their actions to the development of medical, wellness, and SPA tourism. This study is a descriptive analysis of entrepreneurial behaviors, to present the bond between digitalization, researcher activity, sustainability, and the future of the health tourism market. The health tourism market divides players into several segments: those who provide medical services, wellness services, and SPA services, who organize the connection between the customer and the consumption of the tourist product, those who provide related services (accommodation, transport, tourist assistance, health insurance, leisure services). Their presence must be constant, interested in their power and positioning in the chain of producer and consumer. Tourism is one of the markets with fabulous growth in the last decade, with an impact on modern civilization after the pandemic. The post-pandemic period has generated a new entrepreneurial vision of the tourism product, on the presentation, promotion strategy, and sales policy to the customer, as well as the possibility of transforming the customer into a consumer. The use of modern marketing tools such as artificial intelligence, and virtual reality have created opportunities to bring to the market new tourist destinations, new medical services, and new distribution channels of tourist product, all as a result of marketing research that provides results on the needs and expectations of the final consumer, as well as how important it is to adapt organizations to these needs. The company's answer to consumer demand depends on external factors: war, pandemics, natural disasters, and legislative changes. These uncontrollable factors determine a new adaptation of companies to the needs that arise among the consumers, which will cost them positioning on the market. Human resources, as an internal factor, are the key to the relationship between the consumer and the producer of the tourist service. The market trends push companies to use digital marketing strategy, direct marketing, and state-of-the-art technologies, hoping to reduce the waiting time for the customer and create the tourist product at an optimal price. New trends determine a blend of creation and imagination with technological and economical possibilities, for new tourist services and products. Such is how new market niches have developed new market niches, such as elderly tourism, thermal tourism, water tourism or wave tourism, tourism for people with disabilities, and nutritional tourism. Unlike leisure tourists, they want to meet their specific needs during the holiday. Also, entrepreneurs, depending on their quality in the tourist process, customize their tourist products or services according to customer behaviour. Adapting entrepreneurial behaviour to new trends is necessary to cope with the environment. The reported problems, as well as global warming, water pollution, melting glaciers, increasing the immunity of the human body to antibiotics, and decreasing international safety, determine the adaptation of organizational behaviour towards sustainability, digitization, and empathy, as well as the personalization of the tourism product or service.
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Freund, Karen M., Sarah A. Reisinger, Amy LeClair, Sarah Al-Najar, Gregory S. Young, Jill Oliveri, Evelyn Gonzalez e Electra Paskett. "Abstract C77: Impact of insurance and primary care stability on cancer screening behaviors". In Abstracts: Tenth AACR Conference on The Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; September 25-28, 2017; Atlanta, GA. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7755.disp17-c77.

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Yamasaki, Kunitoshi, e Ryuichi Hosoya. "Resolving Asymmetry of Medical Information by using AI: Japanese People's Change Behavior by Technology-Driven Innovation for Japanese Health Insurance". In 2018 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2018. http://dx.doi.org/10.23919/picmet.2018.8481824.

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Accad, Mel Lorenzo Mabazza. "071: IS TRAVEL COST A SIGNIFICANT DETERRENT TO THE HEALTH-SEEKING BEHAVIOR OF HOUSEHOLD-BENEFICIARIES UNDER CONDITIONAL CASH TRANSFERS (CCT) AND/OR PHILHEALTH INSURANCE'S SPONSORED PROGRAM?" In Global Forum on Research and Innovation for Health 2015. British Medical Journal Publishing Group, 2015. http://dx.doi.org/10.1136/bmjopen-2015-forum2015abstracts.71.

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Rapporti di organizzazioni sul tema "Behavioral health insurance":

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Baicker, Katherine, Sendhil Mullainathan e Joshua Schwartzstein. Behavioral Hazard in Health Insurance. Cambridge, MA: National Bureau of Economic Research, ottobre 2012. http://dx.doi.org/10.3386/w18468.

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Maclean, Johanna Catherine, Sebastian Tello-Trillo e Douglas Webber. Losing insurance and behavioral health inpatient care: Evidence from a large-scale Medicaid disenrollment. Cambridge, MA: National Bureau of Economic Research, giugno 2019. http://dx.doi.org/10.3386/w25936.

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Domurat, Richard, Isaac Menashe e Wesley Yin. The Role of Behavioral Frictions in Health Insurance Marketplace Enrollment and Risk: Evidence from a Field Experiment. Cambridge, MA: National Bureau of Economic Research, agosto 2019. http://dx.doi.org/10.3386/w26153.

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González, María P., e Carlos Scartascini. Increasing the Use of Telemedicine: A Field Experiment. Inter-American Development Bank, maggio 2023. http://dx.doi.org/10.18235/0004900.

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Patients are reluctant to use telemedicine health services. Telemedicine is an “experience good,” one that can be accurately evaluated and compared to its substitute (in this case, in-person visits) only after the product has been adopted and experienced. As such, an intervention that increases the probability of a first experience can have lasting effects. This article reports the results of a randomized field experiment conducted in collaboration with a health insurance company in Argentina. During the intervention, about two thousand households with no previous experience with telemedicine received periodic e-mails with information about the available services. It effectively increased the take-up and demand for telemedicine. Within the first eight months of the experiment, patients assigned to the treatment group were 6pp more likely to have used the service at least once (12pp higher for those who opened at least one e-mail.) This first use led to large cumulative effects over time. After eight months, the number of virtual consultations by the treatment group was six times larger than those of the control group. These results provide additional evidence about how information interventions can increase technological take-up within the health sector and add to the understanding of how behavioral barriers affect patients resistance to technological adoption.
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Gustman, Alan, e Thomas Steinmeier. Employer Provided Health Insurance and Retirement Behavior. Cambridge, MA: National Bureau of Economic Research, marzo 1993. http://dx.doi.org/10.3386/w4307.

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Chou, Shin-Yi, Jin-Tan Liu e James Hammitt. Health Insurance and Households' Precautionary Behaviors - An Unusual Natural Experiment. Cambridge, MA: National Bureau of Economic Research, dicembre 2002. http://dx.doi.org/10.3386/w9394.

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Bosch, Mariano, Stephanie González e María Teresa Silva Porto. Chasing Informality: Evidence from Increasing Enforcement in Large Firms in Peru. Inter-American Development Bank, marzo 2021. http://dx.doi.org/10.18235/0003128.

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Evasion of labor market regulations in middle income countries is systemic. This is generally known as informality. In Latin America, where less than 50% of workers are registered with social security, this is a permanent phenomenon and encompasses a variety of economic realities ranging from subsistence self-employment to evasion of certain regulations including social security contributions. In this study we analyze the role of enforcement in curbing informality in large formal firms in Peru, where informality levels are around 70%. Through the Peruvian National Labor Control Superintendence (SUNAFIL) we randomly sent 697 letters to formal Peruvian firms of more than 50 workers, indicating their obligation to enroll workers in social insurance systems (health and pensions). Two types of letters were sent, one with a deterrence message and one emphasizing the benefits of formalization. One year after the letters were sent, we found a positive and statistically significant effect on the number of workers enrolled in social security (9.8% on average). Only strict deterrence messages had a significant impact, and only in very large firms. This evidence suggests that there is room for improvement in compliance with labor regulations through more proactive monitoring and behavioral tools such as reminders, but effects could be concentrated in the largest firms.
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Aron-Dine, Aviva, Liran Einav, Amy Finkelstein e Mark Cullen. Moral Hazard in Health Insurance: How Important Is Forward Looking Behavior? Cambridge, MA: National Bureau of Economic Research, febbraio 2012. http://dx.doi.org/10.3386/w17802.

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Michaud, Pierre-Carl, e Pascal St-Amour. Longevity, Health and Housing Risks Management in Retirement. CIRANO, marzo 2023. http://dx.doi.org/10.54932/rnkf5751.

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Annuities, long-term care insurance and reverse mortgages remain unpopular to manage longevity, medical and housing price risks after retirement. We analyze low demand using a life-cycle model structurally estimated with a unique stated-preference survey experiment of Canadian households. Low risk aversion, substitution between housing and consumption and low marginal utility when in poor health explain most of the reduced demand. Bequests motives are found to be a luxury good and play a limited role. The remaining disinterest is explained by information frictions and behavioural status-quo biases. We find evidence of strong spousal co-insurance motives motivating LTCI and of responsiveness to bundling with a near doubling of demand for annuities when reverse mortgages can be used to annuitize, instead of consuming home equity
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Maclean, Johanna Catherine, Ioana Popovici e Elisheva Rachel Stern. Health Insurance Expansions and Provider Behavior: Evidence from Substance Use Disorder Providers. Cambridge, MA: National Bureau of Economic Research, gennaio 2017. http://dx.doi.org/10.3386/w23094.

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