Unmet Needs for Cardiovascular Care in Indonesia

Abstract

BackgroundIn the past twenty years the heaviest burden of cardiovascular diseases has begun to shift from developed to developing countries. However, little is known about the real needs for cardiovascular care in these countries and how well those needs are being met. This study aims to investigate the prevalence and determinants of unmet needs for cardiovascular care based on objective assessment.Methods and FindingsMultilevel analysis is used to analyse the determinants of met needs and multilevel multiple imputation is applied to manage missing data. The 2008 Indonesian Family Life Survey (IFLS4) survey is the source of the household data used in this study, while district data is sourced from the Ministry of Health and Ministry of Finance. The data shows that nearly 70% of respondents with moderate to high cardiovascular risk failed to receive cardiovascular care. Higher income, possession of health insurance and residence in urban areas are significantly associated with met needs for cardiovascular care, while health facility density and physician density show no association with them.ConclusionsThe prevalence of unmet needs for cardiovascular care is considerable in Indonesia. Inequality persists as a factor in meeting needs for cardiovascular care as the needs of people with higher incomes and those living in urban areas are more likely to be met. Alleviation of poverty, provision of health care insurance for the poor, and improvement in the quality of healthcare providers are recommended in order to meet this ever-increasing need.

Unmet Need for Healthcare Among People with Hypertension in Indonesia

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How is Indonesia coping with its epidemic of chronic noncommunicable diseases? A systematic review with meta-analysis

“…Fig 6 shows that most of the 130 included studies considered age (n = 115) [14–17, 22–29, 31–50, 53, 55, 56, 59–64, 66–73, 75–77, 80–92, 95–102, 104–108, 110–129, 131, 133–143, 155, 156] and/or sex (n = 112) [15–19, 21–26, 28, 29, 31–38, 40–50, 53, 55, 56, 58–92, 95–108, 110–112, 114–116, 118–123, 125–129, 131, 133–143, 155, 156] in their analyses. On average around 40% of all studies included some sort of socioeconomic indicator mirroring educational attainment [15, 17, 21–24, 32, 34, 35, 37–…”

Model Revitalisasi Pondok Kesehatan Desa (Ponkesdes) dan Pos Pembinaan Terpadu (Posbindu) untuk Promosi Kesehatan dan Deteksi Dini Faktor Risiko Penyakit Jantung di Desa Sepanjang Kecamatan Gondanglegi Kabupaten Malang

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