One of the imperative aspects in enhancing maternal and newborn health is Family Planning. Scientific evidences has disclosed that effective contraceptive use can decrease maternal deaths by about 35%, newborn deaths by 10% and the under five deaths by 20% (Cleland et al., 2006; Guttmacher Institute, 2008; Population Reference Bureau, 2009). Family Planning utilization has also significantly contributed to poverty alleviation, gender equality, and socio-economic development (Hogan et al. , 2010).
During the last decade, family planning care quality has been one of the main concerns of The United Nations, Governments, and Non-Government Organization in order to boost the righ-based family planning services to fulfil women’s sexual and reproductive health needs. However, based on literature reviews it is regrettable that not much known about the effects of family planning care quality on modern contraceptive use inspite of the general sense and perception that quality of family planning care is one of important determinants of family planning utilization. There is still lack of evidences about best practices of high quality of care provision and its following influence on contraceptive prevalence. Only few number of research had studied the family planning care quality and many of the studies have revealed a weak relationship between quality of care and family planning utilization.
I will construct a composite measure of quality of care using a national representative Service Delivery Point (SDP) survey data in Indonesia and assess its effects on longacting and permanent methods use, and its inequality between public and private family planning care providers in urban and rural Indonesia. I will develop quality measures for SDPs utilizing factor analysis to merge 14 facility-level factors. Then I will link women in reproductive age to their nearest SDP by GPS-points. Afterwards, I will perform a multilevel analysis to estimate client’s odds ratios for long-acting and permanent methods use adjusting for SDPs’ quality of care and other covariates.
About the speaker
Mr Nur Jaeni is a PhD candidate in Demography at the Institute for Population and Social Research, Mahidol University. He holds a master's degree in Social Research (Demography) from the Australian National University, Australia, and a BSc in Statistics from Bogor Agricultural Institute, Indonesia. Before joining IPSR in 2017, Nur Jaeni worked at the National Population and Family Planning Board of Indonesia where he also received a scholarship to pursue his doctorate at IPSR.
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June 10, 2020