1921
Volume 85, Issue 1
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645

Abstract

Abstract.

Quality health management requires timely and accurate data, and paper-based reporting does not fill this role adequately. The introduction of malaria rapid diagnostic tests and the availability of wireless communications present an opportunity to open direct data transmission and feedback between peripheral health workers and central managers. In November 2009, the Uganda Ministry of Health deployed a short message service–based reporting system in two districts. At a set-up cost of $100/health facility, local technician support of $ 400 per month, and a cost of $0.53/week/clinic, the SMS reporting system was started at more than 140 clinics. Positivity rates for rapid diagnostic tests and artemisinin combination therapy stock outs were 48% and 54% in Kabale and 71% and 54% in Gulu, among other reports, at more than 85% health facilities reporting weekly and without monetary incentives or additional supervision. The SMS-based reporting systems have potential to improve timeliness in reporting of specific, time-sensitive metrics at modest cost, while by-passing current bottlenecks in the flow of data. With the development of specific capacity to manage stock data at district level, the availability of timely data offers potential to address commodity distribution problems and reduce stock-outs.

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References

  1. Foster S, , 1991. 2009. Supply and use of essential drugs in sub Saharan Africa: some issues and possible solutions. Soc Sci Med 32: 12011218.[Crossref]
  2. World Health Organization, 2009. World Malaria Report. Geneva: World Health OPrganization, WHO/HTM/GMP/2009.1.
  3. Gething PW, Noor AM, Gikandi PW, Ogara EAA, Hay SI, Nixon MS, Snow RW, Atkinson PM, , 2006. Improving imperfect data from health management information systems in Africa using space-time geostatistics. PLoS Med 3: e271, doi:10.1371/journal.pmed.0030271.[Crossref]
  4. The Global Fund, 2010. Improving Aid effectiveness. Innovation and Impact. Geneva, Switzerland: 6174.
  5. Resource Centre, Ministry of Health, 2001. Indicator Manual for Monitoring HSSP Performance. Kampala, Uganda: Ministry of Health Uganda.
  6. Second Phase of the World's Summit on the Information Society, Tunis, 2005. Tunis Agenda for the Information Society. November 16–18. WSIS-05/TUNIS/DOC/6 (rev.1).
  7. Butao D, Felling B, Msipa P, , 2009. Malawi: Laboratory Services and Supply Chain Assessment. Arlington, VA: U.S. Agnacy for International Development. Deliver Project, Task Order 1.
  8. Adegoke C, Egbert B, Chimnani J, Kwesi E, Tetteh G, Dragana V, , 2008. Ghana: PMI Assessment of the Supply Chain and Pharmaceutical Management for Antimalarials and ITNs. Arlington, VA, U.S. Agency for International Development. Deliver Project, Task Order 3, and MSH/SPS Program.
  9. World Malaria Health, 2010. Guidelines for the Treatment of Malaria. Second edition. Geneva: World Health Organization.
  10. Hopkins H, Asiimwe C, Bell D, , 2009. Access to antimalarial therapy: accurate diagnosis is essential to achieving long term goals. BMJ 339: b2606, doi:10.1136/bmj.b2606.[Crossref]
  11. Msellem MI, Martensson A, Rotllant G, Bhattarai A, Stromberg J, Kahigwa E, Garcia M, Petzold M, Olumese P, Ali A, Bjorkman A, , 2009. Influence of rapid malaria diagnostic tests on treatment and health outcome in fever patients, Zanzibar: a crossover validation study. PLoS Med 6: e1000070.[Crossref]
  12. Njama-Meya D, Clark TD, Nzarubara B, Staedke S, Kamya MR, Dorsey G, , 2007. Treatment of malaria restricted to laboratory-confirmed cases: a prospective cohort study in Uganda children. Malar J 6: 7.[Crossref]
  13. Nankabirwa J, Zurovac D, Njogu JN, John B, Rwakimari JB, Counihan H, Snow RW, Tibenderana JK, , 2009. Malaria misdiagnosis in Uganda: implications for policy change. Malar J 8: 66.[Crossref]
  14. Breslauer DN, Maamari RN, Switz NA, Lam WA, Fletcher DA, , 2009. Mobile phone based clinical microscopy for global health applications. PLoS ONE 4: 6320.[Crossref]
  15. Kizito S, Mukasa O, Armstrong Schellenberg J, Manzi F, John D, Adiel Mushi A, Mwifadhi Mrisho M, Tanner M, Mshinda M, Schellenberg D, , 2007. The use of personal digital assistants for data entry at the point of collection in large household survey in southern Tanzania. Emerg Themes Epidemiol 4: 5.[Crossref]
  16. Cocosila M, Coursaris C, Yuan Y, , 2004. Healthcare for patient self-management: a case for diabetics. Int J Electron Healthc 1: 221241.[Crossref]
  17. Roll Back Malaria (RBM) Initiative, 2009. SMS for Life: Improving Medicine Access through Innovation. Basel, Switzerland: Norvatis/Pharma. National Malaria Control Programmes–Tanzania/Roll Back Malaria Partnership Secretariat.
  18. Zanzibar Malaria Control Programme, 2009 Zanzibar Malaria Early Epidemic Detection System Biannual Report, 1 (No. 2) March 2010. Zanzibar: Zanzibar Ministry of Health and Social Welfare.
  19. Murray CK, Mody RM, Dooley DP, Hosenthal DR, Horvath LL, Moran KA, Muntz RW, , 2006. The remote diagnosis of malaria using telemedicine or e-mailed images. Mil Med 171: 11671171.[Crossref]
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  • Received : 22 Sep 2010
  • Accepted : 12 Mar 2011

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