1Indonesian Agency for Health Research and Development of the Ministry of Health. Jl. Percetakan Negara 29, Jakarta
2Doctoral Program, Faculty of Public Health, Universitas Airlangga, Surabaya
3Department of Health Policy and Administration, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
*Corresponding Author: Agung Dwi Laksono, Indonesian Agency for Health Research and Development of the Ministry of Health. Jl. Percetakan Negara 29, Jakarta, Indonesia, e-mail: agung_dwilaksono@yahoo.co.id
Online published on 27 March, 2020.
Madurese communities often have a low public health status. These could be seen from the health development achievements four regencieson the island. This research was intended to analyze the determinant ofthe Puskesmas utilization in Madura Island. The Data derived from the 2013 Riskesdas. The analysis usingbinary logistic regression to examine the determinant of the Puskesmas utilization. The results of the study showed the Madurese in Bangkalan likelihood 2, 120 times more utilize the Puskesmas than in Sumenep (OR 2.120; 95% CI 1.448–3.105). Madurese in Pamekasan 1.410 times more likely to utilize the Puskesmas than in Sumenep (OR 1.410; 95% CI 1.025–1.940). Age affects the Puskesmas utilization, while rurality did not show a significant influence. Those who pass the primary school were likelihood 0.225 times to utilize of Puskesmas than the graduates of the college (OR 0.225; 95% CI 0.054–0.946). The Madurese in quintile 4 seen has no difference from those in quintile 5. While the Madurese who insured likelihood 0.650 times to utilize the Puskesmas than who not insured (OR 0.650; 95% CI 0.517–0.818). The Madurese that has a shorter time to the Puskesmas likelihood 0.616 times more utilize than that have a long time (OR 0.616; 95% CI 0.479–0.791). The research concluded that from 9 factors related to the Puskesmas utilization in Madura Island, there are 7 factors that are determinants, namely the regency, age, education, work status, socioeconomic, insurance, and travel time.
Utilization determinant, healthcare, health services, Madura, Riskesdas