scholarly journals Determinants of Purchase of Health Insurance in Gujarat – A Study of Social Factors

2021 ◽  
Vol 10 (2) ◽  
pp. 113
Author(s):  
Dharmendra S. Mistry ◽  
Pallavi C. Vyas
Keyword(s):  
Health Insurance ◽  
Social Factors

scholarly journals Estimates of prevalence, demographic characteristics and social factors among people with disabilities in the USA: a cross-survey comparison

BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e017828 ◽  
Author(s):  
Eric Andrew Lauer ◽  
Andrew J Houtenville
Keyword(s):  
Health Insurance ◽  
Social Factors ◽  
Context Effects ◽  
College Education ◽  
People With Disabilities ◽  
Demographic Characteristics ◽  
Secondary Outcome ◽  
National Surveys ◽  
Prevalence Estimates ◽  
The Usa

ObjectiveA national priority for disability research in the USA is the standardised identification of people with disabilities in surveillance efforts. Mandated by federal statute, six dichotomous difficulty-focused questions were implemented in national surveys to identify people with disabilities. The aim of this study was to assess the prevalence, demographic characteristics and social factors among people with disabilities based on these six questions using multiple national surveys in the USA.SettingAmerican Community Survey (ACS), Current Population Survey Annual Social and Economic Supplement (CPS-ASEC), National Health Interview Survey (NHIS) and the Survey of Income and Program Participation (SIPP).ParticipantsCivilian, non-institutionalised US residents aged 18 and over from the 2009 to 2014 ACS, 2009 to 2014 CPS-ASEC, 2009 to 2014 NHIS and 2008 SIPP waves 3, 7 and 10.Primary and secondary outcome measuresDisability was assessed using six standardised questions asking people about hearing, vision, cognition, ambulatory, self-care and independent living disabilities. Social factors were assessed with questions asking people to report their education, employment status, family size, health and marital status, health insurance and income.ResultsRisk ratios and demographic distributions for people with disabilities were consistent across survey. People with disabilities were at decreased risk of having college education, employment, families with three or more people, excellent or very good self-reported health and a spouse. People with disabilities were also consistently at greater risk of having health insurance and living below the poverty line. Estimates of disability prevalence varied between surveys from 2009 to 2014 (range 11.76%–17.08%).ConclusionReplicating the existing literature, we found the estimation of disparities and inequity people with disabilities experience to be consistent across survey. Although there was a range of prevalence estimates, demographic factors for people with disabilities were consistent across surveys. Variations in prevalence estimates can be explained by survey context effects.

scholarly journals Healthcare Financing in Rural Cameroon

Societies ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 77 ◽  
Author(s):  
Nathanael Ojong
Keyword(s):  
Health Insurance ◽  
Qualitative Study ◽  
Low Income ◽  
Social Factors ◽  
Drop Out ◽  
Rural Populations ◽  
Health Shocks ◽  
Healthcare Financing ◽  
Voluntary Health Insurance ◽  
Rural Cameroon

In the global South, low-income populations are faced with frequent health shocks. Formal mechanisms to protect them against these shocks are absent or limited. Thus, what are the mechanisms used by low-income rural populations to finance healthcare? This paper draws on a qualitative study to examine the healthcare financing mechanisms of low-income rural populations in Cameroon. The findings suggest that low-income populations use 13 mechanisms to finance healthcare. Depending on several factors, people may use more than one of these mechanisms. In addition, social factors shape people’s patterns of usage of these mechanisms. Patterns of usage of these mechanisms are embedded in the principle of reciprocity. The notion of reciprocity does seem to discourage people from enrolling in the limited voluntary health insurance programmes which exist in various communities. Newly insured people were more likely to drop out if they did not receive a payout.

scholarly journals Effect of inclusion of assisted reproductive technologies in the state health insurance programme in Russia

2020 ◽  
Vol 4 (4) ◽  
pp. 19-42
Author(s):  
Alexandra A. Moskaleva
Keyword(s):  
Health Insurance ◽  
Social Factors ◽  
Fixed Effects ◽  
Assisted Reproductive Technologies ◽  
Positive Impact ◽  
Reproductive Technologies ◽  
Infertility Treatment ◽  
Vitro Fertilization ◽  
The Impact

Assisted reproductive technologies (ART) are an infertility treatment tool. In Russia, more than 250 centers implementing infertility treatment with the help of ART have been opened in 67 regions. In 2014, in vitro fertilization (IVF) was included in the programme of state guarantees, and since 2016 the service can be obtained within the Mandatory Health Insurance (MHI) system. Author of this study analyzes how the impact of economic factors on fertility with the use of ART has changed in relation to the inclusion of IVF in the MHI system, and what social factors affect the usage of this technology. The analysis bases on the panel data for the regions of Russia covering the period from 2011 to 2017. The fixed effects method was used to assess the impact of various factors. The study shows that the population income level has a significant positive impact on the proportion of births with the use of ART even after the inclusion of IVF into the MHI programme. At the same time, the inclusion of IVF in the MHI programme has led to an increase in the proportion of births using ART. The positive effect of this inclusion is higher in wealthier regions. Among social factors, a significant impact has the accessibility of information about the procedure, which is measured by the share of population having access to the Internet.

scholarly journals KEPUTUSAN INDIVIDU USIA KERJA UNTUK BERMIGRASI: BUKTI DARI DATA LONGITUDINAL DI JAWA TIMUR

2019 ◽  
Vol 14 (1) ◽  
pp. 49
Author(s):  
Arbain Agus Wijaya ◽  
Munawar Ismail ◽  
Arif Hoetoro
Keyword(s):  
Health Insurance ◽  
Marital Status ◽  
Sex Education ◽  
Social Factors ◽  
Agricultural Land ◽  
Land Ownership ◽  
Binary Logistic Regression Analysis ◽  
Economic Factors ◽  
The Individual ◽  
Socio Economic Factors

Migration is not only limited because of the driving and pulling factors from the area of origin and destination. Individual socio-economic factors are important factors that determine the decision to migrate. This study aims to analyze the influence of individual socio-economic factors on migration in East Java Province. The panel data used are longitudinal data from the Indonesian Family Life Survey (IFLS)-4 and the IFLS-5. In this study, the individual social factors consisted of age, sex, education, marital status, family size, and residence characteristics. Moreover, the individual economic factors comprise land ownership for agriculture, ownership of health insurance, loan ownership, and poverty status. By employing the binary logistic regression analysis, we found that migration in the population of East Java Province was influenced by age, marital status, education, and characteristics of residence as social factors as well as agricultural land ownership and health insurance ownership as economic factors.

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