title: Planning and implementing a program of renovations of emergency obstetric care facilities: experiences in Rajasthan, India.
abstract: Even though many governments and donors are now putting resources into upgrading facilities, the study of the renovation process is one of the most neglected aspects of quality improvement in emergency obstetric care (EmOC). In a previous publication, we discussed basic concepts and simple techniques to assess, plan and implement renovations. Here we focus on actual in-the-field experiences of the renovation process initiated by the health system in Rajasthan, India and the valuable lessons obtained from it. With the advice of the technical members of the Averting Maternal Death and Disability Program (AMDD) and the United Nations Population Fund (UNFPA), the facilities achieved noticeable changes in the physical infrastructure. As a result, the quality of EmOC services improved. We analyze these experiences critically and draw out lessons which may be instructive for future renovation efforts.
authors.affiliation: UNFPA, Jaipur, Rajasthan, India. unfpajpr@sify.com
authors.forename: H
authors.initials: H
authors.lastname: Dwivedi
authors.forename: D
authors.initials: D
authors.lastname: Mavalankar
authors.forename: E
authors.initials: E
authors.lastname: Abreu
authors.forename: V
authors.initials: V
authors.lastname: Srinivasan
mesh_terms: D004632:Emergency Medical Services / Q000458:organization & administration* / Q000706:statistics & numerical data; D005160:Facility Design and Construction; D005260:Female; D006275:Health Facility Planning / Q000458:organization & administration* / Q000706:statistics & numerical data; D006284:Health Plan Implementation / Q000458:organization & administration* / Q000706:statistics & numerical data; D006801:Humans; D007194:India; D009775:Obstetrics and Gynecology Department, Hospital / Q000458:organization & administration* / Q000706:statistics & numerical data; D011247:Pregnancy; D016730:Program Development / Q000706:statistics & numerical data*