Awareness of India's national health insurance scheme (PM-JAY): a cross-sectional study across six states

被引:5
|
作者
Parisi, Diletta [1 ,2 ]
Srivastava, Swati [1 ,2 ]
Parmar, Divya [3 ]
Strupat, Christoph [4 ]
Brenner, Stephan [1 ,2 ]
Walsh, Caitlin [1 ,2 ]
Neogi, Rupak [5 ]
Basu, Sharmishtha [6 ]
Ziegler, Susanne [1 ,2 ,7 ]
Jain, Nishant [6 ]
De Allegri, Manuela [1 ,2 ]
机构
[1] Heidelberg Univ, Heidelberg Inst Global Hlth, Med Fac, Neuenheimer Feld 130-3, D-69120 Heidelberg, Germany
[2] Heidelberg Univ, Univ Hosp, Neuenheimer Feld 130-3, D-69120 Heidelberg, Germany
[3] Kings Coll London, Kings Ctr Global Hlth & Hlth Partnerships, London WC2R 2LS, England
[4] German Inst Dev & Sustainabil, D-53113 Bonn 6, Germany
[5] Nielsen India Private Ltd, 7th Floor,Infotech Ctr 404-405, Gurugram 122016, India
[6] Deutsch Gesell Int Zusammenarbeit GIZ GmbH, Indo German Social Secur Programme IGSSP, B 5-1 & 5-2 Ground Floor, New Delhi 110029, India
[7] Deutsch Gesell Int Zusammenarbeit GIZ GmbH, Friedrich Ebert Allee 32 36, D-53113 Bonn, Germany
关键词
Health insurance; awareness; India; social protection; COVERAGE; SERVICES; AFRICA; CARE;
D O I
10.1093/heapol/czac106
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The literature suggests that a first barrier towards accessing benefits of health insurance in low- and middle-income countries is lack of awareness of one's benefits. Yet, across settings and emerging schemes, limited scientific evidence is available on levels of awareness and their determinants. To fill this gap, we assessed socio-demographic and economic determinants of beneficiaries' awareness of the Pradhan Mantri Jan Arogya Yojana (PM-JAY), the national health insurance scheme launched in India in 2018, and their awareness of own eligibility. We relied on cross-sectional household (HH) survey data collected in six Indian states between 2019 and 2020. Representative data of HHs eligible for PM-JAY from 11 618 respondents (an adult representative from each surveyed HH) were used. We used descriptive statistics and multivariable logistic regression models to explore the association between awareness of PM-JAY and of one's own eligibility and socio-economic and demographic characteristics. About 62% of respondents were aware of PM-JAY, and among the aware, 78% knew that they were eligible for the scheme. Regression analysis confirmed that older respondents with a higher educational level and salaried jobs were more likely to know about PM-JAY. Awareness was lower among respondents from Meghalaya and Tamil Nadu. Respondents from Other Backward Classes, of wealthier socio-economic status or from Meghalaya or Gujarat were more likely to be aware of their eligibility status. Respondents from Chhattisgarh were less likely to know about their eligibility. Our study confirms that while more than half of the eligible population was aware of PM-JAY, considerable efforts are needed to achieve universal awareness. Socio-economic gradients confirm that the more marginalized are still less aware. We recommend implementing tailored, state-specific information dissemination approaches focusing on knowledge of specific scheme features to empower beneficiaries to demand their entitled services.
引用
收藏
页码:289 / 300
页数:12
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