A
Asri C. Adisasmita
Researcher at University of Indonesia
Publications - 41
Citations - 543
Asri C. Adisasmita is an academic researcher from University of Indonesia. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 9, co-authored 31 publications receiving 457 citations.
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Obstetric near miss and deaths in public and private hospitals in Indonesia.
TL;DR: This is the first study to document near miss in public and private hospitals in Indonesia; close to a fifth of admissions in public hospitals were associated with near miss; and the critical state in which the women arrived suggest important delays in reaching the hospitals.
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Did the strategy of skilled attendance at birth reach the poor in Indonesia
Laurel Hatt,Cynthia Stanton,Krystyna Makowiecka,Asri C. Adisasmita,Endang Achadi,Carine Ronsmans +5 more
TL;DR: In this paper, the authors examined trends in the percentage of births attended by a health professional and deliveries via caesarean section and found that the greatest increases in professional attendance occurred among the poorest two quintiles compared with 6% per year for women in the middle quintile (P = 0.02).
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Assessing quality of care provided by Indonesian village midwives with a confidential enquiry
Lucia D'Ambruoso,Endang Achadi,Asri C. Adisasmita,Yulia Izati,Krystyna Makowiecka,Julia Hussein +5 more
TL;DR: A confidential enquiry was a diagnostic tool to identify opportunities for improving care and practitioners had a unique insight into factors that contribute to quality care and how feasible interventions might be made.
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Did professional attendance at home births improve early neonatal survival in Indonesia
TL;DR: Report of first-day mortality did not decrease significantly between 1986 and 2002, whereas early neonatal mortality decreased by an average of 3.2% annually, suggesting a need for improved training in immediate newborn care, strengthened emergency referral, and continued support for family planning policies.
Journal Article
Prevalence and predictors of undiagnosed diabetes mellitus in Indonesia.
Laurentius A. Pramono,Siti Setiati,Pradana Soewondo,Imam Subekti,Asri C. Adisasmita,Nasrin Kodim,Bambang Sutrisna +6 more
TL;DR: By recognizing the prediction factors, epidemiological modeling and scoring system of undiagnosed diabetes mellitus in Indonesia can be used as a screening tool in primary health care and health care with minimal diagnostic facility.