Causal relationship between health insurance and overall health status of children: Insights from Pakistan

Aziz, Noshaba; Ting-hua, Liu; Yang, Shaoxiong; Żukiewicz-Sobczak, Wioletta

doi:10.3389/fpubh.2022.934007

Cited by 11 publications

(5 citation statements)

References 66 publications

(90 reference statements)

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“…This shows that only a few with JKN use it effectively to overcome stunting. In addition, a study on the impact of community-based health insurance on stunting in children found that one year of household participation in community-based health insurance was associated with a 4.3 percentage point reduction in the likelihood of stunting stunting (Aziz et al, 2022; Chen & Chu, 2019). This further supports the idea that health insurance can play an essential role in reducing stunting in children.…”

Section: Discussionmentioning

confidence: 99%

Low Birth Weight Is Related to Stunting Incidents: Indonesian Nutrition Status Survey Data Analysis

Rahmadiani,

Fibriana,

Azam

2024

Preprint

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The problem of stunting in Indonesia is classified as chronic. In 2022, the prevalence of stunting in Indonesia was 21.6%, down from 24.4% in 2021. However, the percentage of stunting above 20% is still high and far from the WHO target. This study aimed to determine the relationship between birth weight and the incidence of stunting in toddlers in Indonesia. The research design was cross-sectional, using Indonesian Nutrition Status Survey Data in 2021 obtained from the Indonesian Health Ministry. The sample of this study was 20808 data. The data analysis techniques used were univariate, bivariate, and multivariate analysis. The results show that the variables that influence the incidence of stunting in toddlers in Indonesia are birth weight category (p=0.000; OR=2.720; CI=2.420-3.080), child age (p=0.000; OR=2.617; CI=2.401-2.854), gender of toddlers (p=0.000; OR=1.439; CI=1.338-1.547), mother’s education level (p=0.000; OR=1.329; CI=1.230-1.436), JKN ownership (p=0.026; OR=1.098; CI=1.011-1.191), mother’s employment status (p=0.013; OR=0.904; CI= 0.834-0.979), age of starting solids (p=0.000; OR=0.824; CI=0.767-0.886). This study found that birth weight was the most influential factor in the incidence of stunting.

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Section: Discussionmentioning

confidence: 99%

Low Birth Weight Is Related to Stunting Incidents: Indonesian Nutrition Status Survey Data Analysis

Rahmadiani,

Fibriana,

Azam

2024

Preprint

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“…Second, the theory of “health improvement.” In recent years, research has found health expenditure is at least a significant explanatory variable for certain health indicators in some countries ( 30 ). Cutler et al ( 31 ) famously argued that modern healthcare has great benefits for quality of life.…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

Health effect of public sports services and public health services: empirical evidence from China

Cao,

Cai,

Gong

et al. 2024

Front. Public Health

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There is no clear explanation for the extraordinary rebound in China’s population mortality over the past decade. This paper utilizes panel data from 31 Chinese provinces from 2010 to 2020 to determine the distinct impacts of public sports services (PSS), public health services (PMS), and their interaction on population mortality. Empirical results show that public sports services significantly reduce mortality. Every unit increase in public sports services reduces mortality by about 2.3%. It is characterized by delayed realization. Public health services were surprisingly associated with a rebound in mortality. Further studies found strong health effect from interaction of public sports and health services. The effect was significantly strengthened in areas with fewer extreme temperatures or developed economy. The findings have important policy implications for the high-quality development of public sports and health services. It also emphasizes integration of sports and medicine and mitigates health risks associated with extreme temperatures.

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“…After passing the common support domain test, it means that the matched samples only have the difference of whether to participate in medical insurance or not, but are highly similar at the individual level and the family livelihood level (20,21). This means that the difference between the groups participating in medical insurance and the groups not participating in medical insurance in the survey sample is only the difference in medical insurance participation (38).…”

Section: Propensity Score Matchingmentioning

confidence: 99%

Does basic medical insurance promote public health? Evidence from China family panel study

Liao,

Hu,

Zhang

2023

Front. Public Health

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BackgroundTo promote common prosperity, China government has devoted much financial resources to the basic medical insurance system, it is of great significance to improve the health level of the insured groups to prevent them from returning to poverty due to illness. Whether or not the basic medical insurance can improve health status is an important policy issue after China has win the absolute poverty alleviation movement.MethodsBased on the data of China Family Panel Studies this paper constructs a strong balanced panel data with two levels information, which including variables from family level and personal level. This paper uses the panel data fixed effect model and propensity score matching model to analysis.ResultsThis paper finds that after controlling the family and personal confounding variables, the basic medical insurance has positive effect toward health status. With propensity score matching model, this paper finds that there is causality between basic medical insurance and public health.ConclusionBasic medical insurance has a significant health effect, that is, basic medical insurance has a significant positive impact on individual self-rated health. Participating in basic medical insurance can significantly improve the ability of families to face risk shocks, promote the accumulation of health capital in families, promote the diversification of livelihood strategies, and effectively prevent the occurrence of returning to poverty due to illness.

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Causal relationship between health insurance and overall health status of children: Insights from Pakistan

Cited by 11 publications

References 66 publications

Low Birth Weight Is Related to Stunting Incidents: Indonesian Nutrition Status Survey Data Analysis

Low Birth Weight Is Related to Stunting Incidents: Indonesian Nutrition Status Survey Data Analysis

Health effect of public sports services and public health services: empirical evidence from China

Does basic medical insurance promote public health? Evidence from China family panel study

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