TY - JOUR AU - Wagenaar, Bradley H. AU - Hirschhorn, Lisa R. AU - Henley, Catherine AU - Gremu, Artur AU - Sindano, Ntazana AU - Chilengi, Roma AU - Hingora, Ahmed AU - Mboya, Dominic AU - Exavery, Amon AU - Tani, Kassimu AU - Manzi, Fatuma AU - Pemba, Senga AU - Phillips, James AU - Kante, Almamy Malick AU - Ramsey, Kate AU - Baynes, Colin AU - Awoonor-Williams, John Koku AU - Bawah, Ayaga AU - Nimako, Belinda Afriyie AU - Kanlisi, Nicholas AU - Jackson, Elizabeth F. AU - Sheff, Mallory C. AU - Kyei, Pearl AU - Asuming, Patrick O. AU - Biney, Adriana AU - Chilengi, Roma AU - Ayles, Helen AU - Mwanza, Moses AU - Chirwa, Cindy AU - Stringer, Jeffrey AU - Mulenga, Mary AU - Musatwe, Dennis AU - Chisala, Masoso AU - Lemba, Michael AU - Mutale, Wilbroad AU - Drobac, Peter AU - Rwabukwisi, Felix Cyamatare AU - Hirschhorn, Lisa R. AU - Binagwaho, Agnes AU - Gupta, Neil AU - Nkikabahizi, Fulgence AU - Manzi, Anatole AU - Condo, Jeanine AU - Farmer, Didi Bertrand AU - Hedt-Gauthier, Bethany AU - Sherr, Kenneth AU - Cuembelo, Fatima AU - Michel, Catherine AU - Gimbel, Sarah AU - Wagenaar, Bradley AU - Henley, Catherine AU - Kariaganis, Marina AU - Manuel, João Luis AU - Napua, Manuel AU - Pio, Alusio AU - the AHI PHIT Partnership Collaborative PY - 2017 DA - 2017/12/21 TI - Data-driven quality improvement in low-and middle-income country health systems: lessons from seven years of implementation experience across Mozambique, Rwanda, and Zambia JO - BMC Health Services Research SP - 830 VL - 17 IS - 3 AB - Well-functioning health systems need to utilize data at all levels, from the provider, to local and national-level decision makers, in order to make evidence-based and needed adjustments to improve the quality of care provided. Over the last 7 years, the Doris Duke Charitable Foundation’s African Health Initiative funded health systems strengthening projects at the facility, district, and/or provincial level to improve population health. Increasing data-driven decision making was a common strategy in Mozambique, Rwanda and Zambia. This paper describes the similar and divergent approaches to increase data-driven quality of care improvements (QI) and implementation challenge and opportunities encountered in these three countries. SN - 1472-6963 UR - https://doi.org/10.1186/s12913-017-2661-x DO - 10.1186/s12913-017-2661-x ID - Wagenaar2017 ER -