Deogratius Bintabara1, Festo K Shayo2. 1. Department of Community Medicine, The University of Dodoma, Dodoma, Tanzania. Electronic address: bintabaradeo@gmail.com. 2. Department of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar-es-Salaam, Tanzania. Electronic address: fecasha@gmail.com.
Abstract
BACKGROUND: The burdens of Non-communicable Diseases have overstretched health systems in developing countries. The study explores disparities in the availability of services and predicts the readiness of primary healthcare facilities to manage diabetes in Tanzania. METHODS: The study analyzed data from the 2014-2015 Tanzania Service Provision Assessment Survey. A total of 1142 primary healthcare facilities were included in this analysis. The Negative binomial regression models were fitted to predict each of selected independent variable that is associated with the readiness of primary healthcare to manage diabetes. RESULTS: The overall availability of services was significantly different across the type of facility and managing authority. In an adjusted model, the following were the predictors for a significant increase in readiness to manage diabetes: health center [β = 0.470], private facilities [β = 0.252], the performance of management meetings [β = 0.446], having source of fund other than government [β = 0.193,], and presence of medical doctors [β = 0.677]. CONCLUSION: The robust primary care systems to manage diabetes could be achieved by improving the readiness of primary healthcare facilities through optimizing the availability of diagnostic tools, basic medicines, medical doctors, and early release of a government fund to publicly-owned facilities.
BACKGROUND: The burdens of Non-communicable Diseases have overstretched health systems in developing countries. The study explores disparities in the availability of services and predicts the readiness of primary healthcare facilities to manage diabetes in Tanzania. METHODS: The study analyzed data from the 2014-2015 Tanzania Service Provision Assessment Survey. A total of 1142 primary healthcare facilities were included in this analysis. The Negative binomial regression models were fitted to predict each of selected independent variable that is associated with the readiness of primary healthcare to manage diabetes. RESULTS: The overall availability of services was significantly different across the type of facility and managing authority. In an adjusted model, the following were the predictors for a significant increase in readiness to manage diabetes: health center [β = 0.470], private facilities [β = 0.252], the performance of management meetings [β = 0.446], having source of fund other than government [β = 0.193,], and presence of medical doctors [β = 0.677]. CONCLUSION: The robust primary care systems to manage diabetes could be achieved by improving the readiness of primary healthcare facilities through optimizing the availability of diagnostic tools, basic medicines, medical doctors, and early release of a government fund to publicly-owned facilities.
Authors: Sayoki Godfrey Mfinanga; Moffat J Nyirenda; Gerald Mutungi; Janneth Mghamba; Sarah Maongezi; Joshua Musinguzi; Joseph Okebe; Sokoine Kivuyo; Josephine Birungi; Erik van Widenfelt; Marie-Claire Van Hout; Max Bachmann; Anupam Garrib; Dominic Bukenya; Walter Cullen; Jeffrey V Lazarus; Louis Wihelmus Niessen; Anne Katahoire; Elizabeth Henry Shayo; Ivan Namakoola; Kaushik Ramaiya; Duolao Wang; L E Cuevas; Bernard M Etukoit; Janet Lutale; Shimwela Meshack; Kenneth Mugisha; Geoff Gill; Nelson Sewankambo; Peter G Smith; Shabbar Jaffar Journal: BMJ Open Date: 2021-10-13 Impact factor: 2.692