Determinants of enrolment in the NHIS for women in Ghana – a cross sectional study

Kusi, Anthony; Fenny, Ama Pokuaa; Arhinful, Daniel; Asante, Felix Ankomah; Parmar, Divya

doi:10.1108/ijse-10-2016-0291

Cited by 11 publications

(15 citation statements)

References 33 publications

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“…The finding is consistent with other studies that showed that higher SES is an important predictor of enrolment in NHIS. 3,22,23,26,31,33,34,37,38,41,42 Being a formal worker was a significant predictor of enrolment in NHIS among women of reproductive age in this study. A plausible explanation for this observation is that formal workers earn income that is easily deducted as part of contribution towards the purchase of health insurance.…”

Section: Discussionsupporting

confidence: 45%

“…However, this finding is in contrast to results from other studies. 22,26,27,34,35,38 In this study, women in North West region, South East region, South South region and South West region were less likely to have health insurance. The low level of enrolment in these geographical locations could be due to the fact that they are predominantly rural and have a high proportion of women from poor households who do not have knowledge of the advantages of health insurance.…”

Section: Discussionmentioning

confidence: 60%

“…28 Women face different health risk and difficulties in accessing healthcare services. 34 They also bear a greater burden of disease and have limited access to resources. 29,34 The ILO revealed that a higher percentage of women are in informal employment than men.…”

Section: Introductionmentioning

confidence: 99%

“…34 They also bear a greater burden of disease and have limited access to resources. 29,34 The ILO revealed that a higher percentage of women are in informal employment than men. 1 It is against this background that the study aims to examine factors associated with enrolment in the NHIS among women of reproductive age in Nigeria in order to inform policy decision-making towards addressing the problem of low enrolment in the NHIS.…”

Section: Introductionmentioning

confidence: 99%

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Predictors of Enrolment in the National Health Insurance Scheme Among Women of Reproductive Age in Nigeria

Aregbeshola

Khan

2018

Int J Health Policy Manag

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Background: Despite the implementation of the National Health Insurance Scheme (NHIS) since 2005 in Nigeria, the level of health insurance coverage remains low. The study aims to examine the predictors of enrolment in the NHIS among women of reproductive age in Nigeria. Methods: Secondary data from the 2013 Nigeria Demographic and Health Survey (NDHS) were utilized to examine factors influencing enrolment in the NHIS among women of reproductive age (n=38 948) in Nigeria. Demographic and socio-economic characteristics of women were determined using univariate, bivariate and multivariate analyses. Data analysis was performed using STATA version 12 software. Results: We found that 97.9% of women were not covered by health insurance. Multivariate analysis indicated that factors such as age, education, geo-political zone, socio-economic status (SES), and employment status were significant predictors of enrolment in the NHIS among women of reproductive age. Conclusion: This study concludes that health insurance coverage among women of reproductive age in Nigeria is very low. Additionally, demographic and socio-economic factors were associated with enrolment in the NHIS among women. Therefore, policy-makers need to establish a tax-based health financing mechanism targeted at women who are young, uneducated, from poorest households, unemployed and working in the informal sector of the economy. Extending health insurance coverage to women from poor households and those who work in the informal sector through a tax-financed non-contributory health insurance scheme would accelerate progress towards universal health coverage (UHC).

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Section: Discussionsupporting

confidence: 45%

Section: Discussionmentioning

confidence: 60%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predictors of Enrolment in the National Health Insurance Scheme Among Women of Reproductive Age in Nigeria

Aregbeshola

Khan

2018

Int J Health Policy Manag

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“…The results of the multivariate analysis found that wealth status is one of the determinants of health insurance ownership among pregnant women. This nding con rms the results of previous studies with the same research theme in Nigeria and Ghana which informed that those who have good wealth status are more likely to participate in health insurance 22,28,29 . Pregnant women with low wealth status probably do not have a xed source of income.…”

Section: Discussionsupporting

confidence: 87%

The Determinant of Health Insurance Ownership Among Pregnant Women in Indonesia

Laksono

Wulandari

Matahari

2020

Preprint

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Background: Health insurance is one indicator of the readiness of pregnant women for the delivery process. The study was aimed at analyzing the determinants of health insurance ownership among pregnant women in Indonesia.Methods: The study involved 2,542 pregnant women in Indonesia. The variables analyzed included type of place of residence, age group, education level, employment status, marital status, parity, wealth status, and know the danger signs of pregnancy. Determination of determinant by binary logistic regression.Results: The results show that pregnant women with higher education were 3.349 times more likely than no education pregnant women to have health insurance. Pregnant women with wealth status in the middle category were 0.679 times more likely than the poorest pregnant women to have health insurance. Meanwhile, the richest pregnant women had 1.358 times more chances than the poorest pregnant women to have health insurance. Grande multiparous pregnant women were 1.544 times more likely than primiparous pregnant women to have health insurance. Pregnant women who know the danger signs of pregnancy were 1.416 times more likely than pregnant women who don't know the danger signs of pregnancy. Conclusions: It concluded that 4 variables were proven as determinants of health insurance ownership in Indonesia. The four variables were education level, wealth status, parity, and know the danger signs of pregnancy.

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Photo elicitation to explore health and social exclusion with rooming house residents in Ottawa, Canada

Binch¹,

Backman²,

Dej³

et al. 2022

Health & Place

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Determinants of enrolment in the NHIS for women in Ghana – a cross sectional study

Cited by 11 publications

References 33 publications

Predictors of Enrolment in the National Health Insurance Scheme Among Women of Reproductive Age in Nigeria

Predictors of Enrolment in the National Health Insurance Scheme Among Women of Reproductive Age in Nigeria

The Determinant of Health Insurance Ownership Among Pregnant Women in Indonesia

Photo elicitation to explore health and social exclusion with rooming house residents in Ottawa, Canada

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