Abstract
Since 2014, Indonesia has implemented the National Health Insurance (NHI) program. For the program to succeed, coverage for the large number of informal sector workers needs to be addressed. However, incorporating informal sector workers into the NHI system poses difficulties. One common group of informal workers is motorcycle taxi drivers. This study aimed to assess willingness to pay for NHI among motorcycle taxi drivers. This cross-sectional study included motorcycle taxi drivers who were staying at certain places. Three driver bases were chosen randomly. Accidental sampling was used to enroll 158 driver respondents. The number of participants from each base was proportional to the number of drivers at each location. A study instrument was developed for data collection, and it was tested for validity and reliability. To calculate the Willingness To Pay (WTP) value, a contingent valuation method with open bidding technique was used. The study showed that the wtp for NHI among the drivers was 19,364 Indonesian Rupiah (IDR) Per Member Per Month (PMPM) for class III inpatient service and idr 27,439 and idr 37,159 for class ii and class i inpatient service respectively. The wtp for NHI program among the drivers was far below the amounts of the NHI premium. The wtp value was affected by income, age, and knowledge of NHI benefits. The average monthly income of drivers was idr 1,971,161, which is less than the monthly minimum wage of depok city (IDR 3,000,000). Because motorcyle taxi drivers have both low income and low wtp for NHI, the authors propose they receive NHI premium subsidy from the government.
Original language | English |
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DOIs | |
Publication status | Published - 2017 |
Event | The 1st International Conference on Global Health - ID, Jakarta, Indonesia Duration: 1 Jan 2018 → … http://elsevier.com/theconference |
Conference
Conference | The 1st International Conference on Global Health |
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Country/Territory | Indonesia |
City | Jakarta |
Period | 1/01/18 → … |
Internet address |
Keywords
- Contingent valuation method; National Health Insurance; open bidding technique; Willingness-to-pay