Implementation of the Standards-Based Management and Recognition approach to quality improvement in maternal, newborn, and child health programs in low-resource countries. (June 2015)

• Record Type: Journal Article
• Authors: Necochea, Edgar; Tripathi, Vandana; Kim, Young-Mi; Akram, Nabeel; Hyjazi, Yolande; da Luz Vaz, Maria; Otolorin, Emmanuel; Pleah, Tsigue; Rashidi, Tambudzai; Bishanga, Dustan
• Is Part Of: International journal of gynaecology and obstetrics. Volume 130(2015)Supplement 2
• Page Start: S17
• Page End: S24
• Publication Date: 2015-06
• Subjects: Health systems strengthening -- Maternal, newborn, and child health -- Performance assessments -- Quality improvement -- Standards-Based Management and Recognition; Gynecology -- Periodicals; Obstetrics -- Periodicals; Electronic journals; 618
• DOI: 10.1016/j.ijgo.2015.04.003
• Languages: English
• ISSNs: 0020-7292

Abstract

Abstract: The Standards-Based Management and Recognition (SBM-R; Jhpiego, Baltimore, MD, USA) approach to quality improvement was developed by Jhpiego to respond to common challenges faced by health systems in low-resource settings, including poor pre-service education, lack of resources for conventional supervisory models, and weak health information systems. Since its introduction in Brazil in 1997, SBM-R has been implemented in approximately 30 countries and continues expanding to new places and service delivery areas. The present article: (1) describes key steps in the SBM-R methodology focusing on provider performance assessment using evidence-based standards; and (2) presents examples of improvements in provider performance in maternal, newborn, and child health care following SBM-R implementation derived from routine program data, quasi-experimental evaluations, and in-depth case studies. SBM-R incorporates evidence-based methods that are known to have positive effects on healthcare quality, including audit and feedback, educational outreach visits, and checklist usage; however, further rigorous research is needed to document the population-level impacts of the SBM-R approach.