| Autor: |
Binagwaho, Agnes, Manuel, João Luis, Mulenga, Mary, Sherr, Kenneth, Sheff, Mallory C., Ramsey, Kate, Pio, Alusio, Awoonor-Williams, John Koku, Manzi, Anatole, Hirschhorn, Lisa R., Jackson, Elizabeth F., Chirwa, Cindy, Tani, Kassimu, Exavery, Amon, Hingora, Ahmed, Phillips, James, Stringer, Jeffrey, Kante, Almamy Malick, Chisala, Masoso, Hedt-Gauthier, Bethany, Nkikabahizi, Fulgence, Nimako, Belinda Afriyie, Michel, Catherine, Farmer, Didi Bertrand, Biney, Adriana, Condo, Jeanine, Henley, Catherine, Gupta, Neil, Chilengi, Roma, Manzi, Fatuma, Drobac, Peter, Pemba, Senga, Lemba, Michael, Musatwe, Dennis, Mwanza, Moses, Wagenaar, Bradley H., Asuming, Patrick O., Kyei, Pearl, Cuembelo, Fatima, Bawah, Ayaga, Napua, Manuel, Rwabukwisi, Felix Cyamatare, Mutale, Wilbroad, Gimbel, Sarah, Mboya, Dominic, Kanlisi, Nicholas, Gremu, Artur, Baynes, Colin, Ayles, Helen, Sindano, Ntazana, Kariaganis, Marina |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| DOI: |
10.17615/3jrb-0470 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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