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Table 1 Main health indicators in the intervention and comparison areas

From: Expanded Quality Management Using Information Power (EQUIP): protocol for a quasi-experimental study to improve maternal and newborn health in Tanzania and Uganda

Indicator Mayuge (intervention) Namayingo (comparison) Tandahimba (intervention) Newala (comparison)
Population 412,5001 233,0001 227,5142 205,4922
Administrative structure 3 health sub-districts, 13 sub-countries 521 (488) villages* 2 health sub-districts, 270 villages 3 divisions, 30 wards 157 villages 5 divisions, 29 wards, 155 villages
Health facilities ~ 41 + 1 hospital 22 (no hospital) 33 + 1 hospital 30 + 1 hospital
Maternal mortality ratio 438 (national, 7 years prior to survey)3 712 (95% CI 652-777) (2004–2007)5
Newborn mortality rate 23 (2001–2011, East Central)3 31 (2001–2010, Southern Zone)4
Infant mortality rate 61 (2001–2011, East Central)3 68 (2001–2010, Southern Zone)4
< 5 mortality rate 106 (2001–2011, East Central)3 94 (2001–2010, Southern Zone)4
Total fertility rate 6.8 (rural Uganda)3 4.4 (2010, Southern Zone)4
HIV prevalence 5.9% (East Central)6 4.1% (2011–12, Mtwara region)6
Institutional Delivery 67% (2011, East Central)3 59% (2010, Mtwara region)4
Antenatal care attendance 1+ 91% (2011, East Central)3 99% (2010, Mtwara region)4
Antenatal Care attendance 4+ 46% (20011, rural Uganda)3 43% (2010, Tanzania)4
  1. *The intervention is implemented in 488 villages. 25 villages on islands were excluded because resources available for the project did not allow inclusion of these difficult to reach population, thus also three health facilities were excluded.
  2. ~The status of the health facilities describes the situation in October 2013. Health facilities that did not offer reproductive and child health services were not included in the quality management intervention or in the survey, and new facilities were successively added (38, 22, 32 and 30 facilities were included in the continuous survey in Mayuge, Namayingo, Tandahimba and Newala in the first three rounds and the quality improvement work was ongoing in 30 facilities in Mayuge and 32 facilities in Tandahimba in October 2013).
  3. 1Uganda Bureau of Statistics, 2009 mid-year projection.
  4. 2Census 2012, The United Republic of Tanzania: 2012 Population and Housing Census. Population Distribution by administrative areas. In.: National Bureau of Statistics, Dar-es-Salaam. Office of Chief Government Statistician, Zanzibar; March, 2013.
  5. 3Uganda DHS 2012 Uganda Bureau of Statistics (UBOS), ICF International Inc: Uganda Dempgraphic and Health Survey 2011. In. Edited by UBOS and ICF Inc. Kampala, Uganda and Calverton, Maryland, 2012.
  6. 4Tanzania DHS 2010. National Bureau of Statistics (NBS) Tanzania, ICF Macro: Tanzania Demographic and Health Survey. In. Dar-es-Salaam, Tanzania: NBS and ICF Macro,; 2011.
  7. 5Census in five districts in southern Tanzania, Hanson C: The epidemiology of maternal mortality in southern Tanzania. London, UK, http://researchonline.lshtm.ac.uk/1012993/: London School of Hygiene and Tropical Medicine; April 2013.
  8. 6AIDS Indicator survey 2011 in Uganda, Ministry of Health, ICF International, Centers for Disease Control and Prevention, U.S. Agency for International Development, WHO Uganda Maryland 2012 and Tanzania HIV/AIDS and Malaria Indicator Survey 2011-2012 .Tanzania Commission for AIDS (TACAIDS); Zanzibar AIDS Commission (ZAC); National Bureau of Statistics (NBS); Office of the Chief Government Statistician (OCGS), ICF International 2013: Tanzania HIV/AIDS and Malaria Indicator Survey 2011-12. In. Edited by National Bureau of Statistics (NBS) Tanzania. Dar es Salaam, Tanzania: TACAIDS, ZAC,NBS, OCGS, and ICF International,; 2013.
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Implementation Science

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