Academic literature on the topic 'Behavioral health insurance'

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Journal articles on the topic "Behavioral health insurance"

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Baicker, Katherine, Sendhil Mullainathan, and Joshua Schwartzstein. "Behavioral Hazard in Health Insurance *." Quarterly Journal of Economics 130, no. 4 (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 curv
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Colloff, Edwin. "Behavioral Economics and Health Insurance Reform." JAMA 318, no. 10 (2017): 964. http://dx.doi.org/10.1001/jama.2017.10548.

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Goldman, Howard H., Richard G. Frank, M. Audrey Burnam, et al. "Behavioral Health Insurance Parity for Federal Employees." New England Journal of Medicine 354, no. 13 (2006): 1378–86. http://dx.doi.org/10.1056/nejmsa053737.

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Skinner, Jonathan, and Kevin G. Volpp. "Behavioral Economics and Health Insurance Reform—Reply." JAMA 318, no. 10 (2017): 965. http://dx.doi.org/10.1001/jama.2017.10556.

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Mamun, Abdullah Al, Muhammad Khalilur Rahman, Uma Thevi Munikrishnan, and P. Yukthamarani Permarupan. "Predicting the Intention and Purchase of Health Insurance Among Malaysian Working Adults." SAGE Open 11, no. 4 (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
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Sree Hari Rao, V., and Murthy V. Jonnalagedda. "Insurance Dynamics – A Data Mining Approach for Customer Retention in Health Care Insurance Industry." Cybernetics and Information Technologies 12, no. 1 (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 c
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Loewenstein, George, David Hagmann, Janet Schwartz, et al. "A Behavioral Blueprint for Improving Health Care Policy." Behavioral Science & Policy 3, no. 1 (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
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Helgeland, Susan Rae. "Policymakers and Insurance Companies Choose Discrimination on Behavioral Health." Northern Plains Ethics Journal 2, no. 1 (2014): 81–84. https://doi.org/10.5840/npej2014217.

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Barrett, Kirsten, and Jeffrey Legg. "Demographic and Health Factors Associated with Mammography Utilization." American Journal of Health Promotion 19, no. 6 (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 perce
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Baillon, Aurélien, Aleli Kraft, Owen O’Donnell, and Kim van Wilgenburg. "A behavioral decomposition of willingness to pay for health insurance." Journal of Risk and Uncertainty 64, no. 1 (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
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Dissertations / Theses on the topic "Behavioral health insurance"

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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.<br>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.
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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. 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 outcome
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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 in
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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. T
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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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<p> The conditions that allowed early MFTs the freedom to creatively explore different interventions and theories of change are no longer available in today&rsquo;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&rsquo; service requirements and paperwork a barrier to their creativity. A phenomenological transcendental research method
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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
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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 ê
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Books on the topic "Behavioral health insurance"

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Minnesota. Legislature. Office of the Legislative Auditor. Program Evaluation Division., ed. Insurance for behavioral health care: Program evaluation report. Program Evaluation Division, Office of the Legislative Auditor, State of Minnesota, 2001.

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Sara, Rosenbaum, and Center for Mental Health Services (U.S.), eds. Medical necessity in private health plans: Implications for behavioral health care. 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, and Center for Mental Health Services (U.S.), eds. Medical necessity in private health plans: Implications for behavioral health care. 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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Center for Mental Health Services (U.S.). Office of Managed Care, ed. Annotated bibliography for managed behavioral health care: 1989-1999 : special report. 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. RAND, 2003.

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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. Commonwealth of Virginia, 2004.

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

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Chou, Shin-Yi. Health insurance and households' precautionary behaviors: An unusual natural experiment. 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? 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. Rand, 1986.

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Book chapters on the topic "Behavioral health insurance"

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Orbell, Sheina, Havah Schneider, Sabrina Esbitt, et al. "Health Insurance." In Encyclopedia of Behavioral Medicine. 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, et al. "Health Insurance: Comparisons." In Encyclopedia of Behavioral Medicine. 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. 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. 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, and Elbert Huang. "Impact of Health Insurance Policy on Diabetes Management." In Behavioral Diabetes. 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. 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, et al. "Health Insurance Portability and Accountability Act (HIPAA)." In Encyclopedia of Behavioral Medicine. 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. 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. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89860-5_14.

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

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Conference papers on the topic "Behavioral health insurance"

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Koyuncu, Ömer Sezer, and Seçil Arslan. "Clustering and Behavioral Analysis of Health Insurance Owners." In 2024 9th International Conference on Computer Science and Engineering (UBMK). IEEE, 2024. https://doi.org/10.1109/ubmk63289.2024.10773513.

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Muzli, Alfarabi, Rahmad Hidayat, Idzni Sabrina, and Diana Purwitasari. "Identifying Fraudulent Behavior with Voting Methods of Clustering Algorithms for Fraud Detection in Indonesia's Health Insurance System." In 2025 International Conference on Smart Computing, IoT and Machine Learning (SIML). IEEE, 2025. https://doi.org/10.1109/siml65326.2025.11081165.

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Kurnianingtyas, Diva, Budi Santosa, and 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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Zsolway, Mary Lorraine, and Jamie Shoop. "Identifying the Relationship Between Post-Concussion Mental Health and Athletic Status: Is It the Same for All Demographics?" In 28th Annual Rowan-Virtua Research Day. Rowan University Libraries, 2024. http://dx.doi.org/10.31986/issn.2689-0690_rdw.stratford_research_day.204_2024.

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Purpose: The purpose of this study is to investigate whether athletic status was linked to fewer symptoms of anxiety and depression post-concussion, as well as to explore whether the impact of athletic status on mental health varied by demographics (i.e. age, sex, race, insurance status). The results of this study may assist in identifying at-risk individuals early to help prioritize those who may benefit from early referral to mental health resources. Introduction: Mental health concerns post-concussion are relatively common, with roughly 1 in 3 individuals experiencing these symptoms. It has
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SHI, JIAQI, WEIKE CHEN, JIAQI LI, YUQI MA, and 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
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Mehraby, Nazanin, Behzad Soleimani Neysiani, Mohammad Zahiri Nogorani, and 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, and 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, and 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 Ja
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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,
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Freund, Karen M., Sarah A. Reisinger, Amy LeClair, et al. "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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Reports on the topic "Behavioral health insurance"

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

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

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

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González, María P., and Carlos Scartascini. Increasing the Use of Telemedicine: A Field Experiment. Inter-American Development Bank, 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
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Gustman, Alan, and Thomas Steinmeier. Employer Provided Health Insurance and Retirement Behavior. National Bureau of Economic Research, 1993. http://dx.doi.org/10.3386/w4307.

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Cattaneo, Matias D., Richard K. Crump, Max H. Farrell, and Yingjie Feng. Nonlinear Binscatter Methods. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1110.

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Binned scatter plots are a powerful statistical tool for empirical work in the social, behavioral, and biomedical sciences. Available methods rely on a quantile-based partitioning estimator of the conditional mean regression function to primarily construct flexible yet interpretable visualization methods, but they can also be used to estimate treatment effects, assess uncertainty, and test substantive domain-specific hypotheses. This paper introduces novel binscatter methods based on nonlinear, possibly nonsmooth M-estimation methods, covering generalized linear, robust, and quantile regressio
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Bosch, Mariano, Stephanie González, and María Teresa Silva Porto. Chasing Informality: Evidence from Increasing Enforcement in Large Firms in Peru. Inter-American Development Bank, 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
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Yörük, Barış, Joseph Sabia, Tessie Krishna, and Dhaval Dave. Health Insurance Protections and Ex Ante Moral Hazard in Risky Health Behaviors. National Bureau of Economic Research, 2025. https://doi.org/10.3386/w33935.

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

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Michaud, Pierre-Carl, and Pascal St-Amour. Longevity, Health and Housing Risks Management in Retirement. CIRANO, 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 bi
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