Predictors of national health insurance membership among the poor with different education levels in Indonesia
Bibliographic Data
| ID | 15364639 |
|---|---|
| Authors | Nuzulul Kusuma Putri (0000-0003-1566-7724, Airlangga University, corresponding author), Agung Dwi Laksono (0000-0002-9056-0399, National Research and Innovation Agency), Nikmatur Rohmah (0000-0002-5393-1517, Universitas Muhammadiyah Jember) |
| Year | 2023 |
| Volume | 23 |
| Issue | 1 |
| Pages | 373-373 |
| Publication date | 2023-02-21 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-023-15292-9 |
| PMID | 36810024 |
| OpenAlex | W4321446790 |
| Language | EN |
| Citations received | 5 |
| References cited | 30 |
Education level, residence, age, gender, employment, marital status, and wealth predict NHI membership among the poor population. Since significant differences exist in all of those predictors among the poor population with different education levels, our findings highlighted the importance of government investment in NHI, which must be supported with investment in the poor population's education
Biostatistics · Context (archaeology · Environmental health · Geography · Logistic regression · Marital status · Population · Public health · Residence · Socioeconomic status · Socioeconomics · Demography · Global Health Care Issues · Healthcare Systems and Reforms · HIV/AIDS Impact and Responses · Medicine · Nursing
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| Citations per year | 2.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |