A Factor of Influencing to Private Health Insurance of Baby Boomer Generation

Despite various efforts introduced, private health insurance coverage is still low in Malaysia. The objective of this article is to find the factors associated with not having a private health insurance in Malaysia. We analyze data involving 19 959 respondents from the 2015 National Health Morbidity Survey. In this article, we describe the prevalence of not having health insurance and conducted binary logistic regression to identify determinants of uninsured status. A total of 56.6% of the study population was uninsured. After adjusting for other variables, the likelihood of being uninsured was higher among those aged 50 years and above, females, Malay/other Bumiputra ethnicities, rural, government/semigovernment, self-employed, unpaid workers and retirees, unemployed, lower education level, without home ownership and single/widowed/divorced, daily smoker, underweight body mass index, and current drinker. The likelihood of being uninsured also increased with increasing household size while the inversed trend was seen for household income. A substantial proportion of population in Malaysia did not have private health insurance, and these subgroups have limited preferential choices for provider, facility, and care.

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Self-Rated Health Status Based on the Type of Health Insurance: A Socioeconomic Perspective

INQUIRY The Journal of Health Care Organization Provision and Financing ◽

10.1177/00469580211028171 ◽

2021 ◽

Vol 58 ◽

pp. 004695802110281

Author(s):

Minsung Sohn ◽

Minsoo Jung ◽

Mankyu Choi

Keyword(s):

Socioeconomic Status ◽

Health Insurance ◽

Health Status ◽

Regression Models ◽

Private Health Insurance ◽

Public And Private ◽

Logistic Regression Models ◽

Self Rated Health ◽

Interaction Terms ◽

Healthcare Coverage

To investigate the effects of public and private health insurance on self-rated health (SRH) status within the National Health Insurance (NHI) system based on socioeconomic status in South Korea. The data were obtained from 10 867 respondents of the Korea Health Panel (2008-2011). We used hierarchical panel logistic regression models to assess the SRH status. We also added the interaction terms of socioeconomic status and type of health insurance as moderators. Medical aid (MA) recipients were 2.10 times more likely to have a low SRH status than those who were covered only by the NHI, even though the healthcare utilization was higher. When the interaction terms were included, those not covered by the NHI and had completed elementary school or less were 16.59 times more likely to have a low SRH status than those covered by the NHI and had earned a college degree or higher. Expanding healthcare coverage to reduce the burden of non-payment and unmet use to improve the health status of MA beneficiaries should be considered. Particularly, the vulnerability of less-educated groups should be focused on.

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A clinical update on managed care implications for Australian psychiatric practice

Australasian Psychiatry ◽

10.1177/10398562211030011 ◽

2021 ◽

pp. 103985622110300

Author(s):

Jeffrey CL Looi ◽

Stephen R Kisely ◽

Tarun Bastiampillai ◽

William Pring ◽

Stephen Allison

Keyword(s):

Health Insurance ◽

Managed Care ◽

Private Health Insurance ◽

Psychiatric Treatment ◽

Patient Choice ◽

Insurance Sector ◽

Cost Cutting ◽

Appropriate Treatment ◽

The Us ◽

Limit Access

Objective: To provide a clinical update on private health insurance in Australia and outline developments in US-style managed care that are likely to affect psychiatric and other specialist healthcare. We explain aspects of the US health system, which has resulted in a powerful and profitable private health insurance sector, and one of the most expensive and inefficient health systems in the world, with limited patient choice in psychiatric treatment. Conclusions: Australian psychiatrists should be aware of changes to private health insurance that emphasise aspects of managed care such as selective contracting, cost-cutting or capitation of services. These approaches may limit access to private hospital care and diminish the autonomy of patients and practitioners in choosing the most appropriate treatment. Australian patients, carers and practitioners need to be informed about the potential impact of private managed care on patient-centred evidence-based treatment.

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Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The Constellation of Health Determinants Using Latent Class Analysis on Cancer Registry Data

American Journal of Men s Health ◽

10.1177/1557988320984282 ◽

2020 ◽

Vol 14 (6) ◽

pp. 155798832098428

Author(s):

Francisco A. Montiel Ishino ◽

Claire Rowan ◽

Rina Das ◽

Janani Thapa ◽

Ewan Cobran ◽

...

Keyword(s):

Prostate Cancer ◽

Health Insurance ◽

Latent Class Analysis ◽

Cancer Registry ◽

High Probability ◽

Private Health Insurance ◽

Latent Class ◽

Class Analysis ◽

Risk Profiles ◽

Surgical Delay

Surgical prostate cancer (PCa) treatment delay (TD) may increase the likelihood of recurrence of disease, and influence quality of life as well as survival disparities between Black and White men. We used latent class analysis (LCA) to identify risk profiles in localized, malignant PCa surgical treatment delays while assessing co-occurring social determinants of health. Profiles were identified by age, marital status, race, county of residence (non-Appalachian or Appalachian), and health insurance type (none/self-pay, public, or private) reported in the Tennessee Department of Health cancer registry from 2005 to 2015 for adults ≥18 years ( N = 18,088). We identified three risk profiles. The highest surgical delay profile (11% of the sample) with a 30% likelihood of delaying surgery >90 days were young Black men, <55 years old, living in a non-Appalachian county, and single/never married, with a high probability of having private health insurance. The medium surgical delay profile (46% of the sample) with a 21% likelihood of delay were 55–69 years old, White, married, and having private health insurance. The lowest surgical delay profile (42% of the sample) with a 14% likelihood of delay were ≥70 years with public health insurance as well as had a high probability of being White and married. We identified that even with health insurance coverage, Blacks living in non-Appalachian counties had the highest surgical delay, which was almost double that of Whites in the lowest delay profile. These disparities in PCa surgical delay may explain differences in health outcomes in Blacks who are most at-risk.

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