Geo-Spatial Distribution of Frequencies of MTB/RIF Detected Specimens based on Requesting Health Facilities in Manicaland Zimbabwe for 2017 and 2018

  • Katherine Zvinoera Department of Health Sciences, College of Health Agriculture and Natural Sciences Africa University
  • J Mutsvangwa Biomedical Research and Training Institute, Harare
  • E Chikaka Department of Health Sciences, College of Health Agriculture and Natural Sciences Africa University
  • T D Coutinho Department of Geography and Environmental Science University of Zimbabwe
  • V Kampira Mutare Provincial Hospital, Ministry of Health Zimbabwe
  • S Mharakurwa Department of Health Sciences, College of Health Agriculture and Natural Sciences Africa University

Abstract

Objectives: The aim of this study was to produce Geo Spatial Distribution of Frequencies of MTB/RIF Detected Specimens based on Requesting
Health Facilities in Manicaland Zimbabwe for 2017 and 2018, so as to give insight to TB program managers. Focusing elimination interventions on
hot pockets of Tuberculosis (TB) strengthens rationale use of resources in resource limited countries like Zimbabwe. Early detection and early
treatment is backbone of breaking TB transmission. Drug resistant tuberculosis (DRTB) control interventions like Programmatic Management of Drug Resistant TB or mentoring on Short, all Oral Regimen for Rifampicin resistant Tuberculosis (ShORRT) will be driven by science.


Materials and Methods: The retrospective study was carried out in Manicaland, Zimbabwe. Manicaland one of the 10 provinces in Zimbabwe, has 7 districts with 308 health facilities. During this retrospective cross sectional study 2221 MTB detected results of 2017 and 2018, downloaded from 14 of the 15 Genexpert sites in Manicaland were employed to generate hotspot maps. Fifteenth Genexpert site lost its electronic records when Genexpert CPU crushed. Geographical Positioning System (GPS) of the health facilities were recorded.The study used MTB detected frequencies at a facility in relation to surrounding facilities in
Manicaland, then ran optimised hotspot analysis function in Arc Map 10.5 to implement the Gi* statistic. 

Results: Overall provincial MTB detected positivity was 2221/36055 (6.2%).Overall provincial Rifampicin Resistant (RR) positivity was .111.2221(5.0%).Geo-spatial map of Manicaland showed 10 facilities that are RR hotspots with 7/10 (70%) of the facilities in Buhera district. Chipinge district had facilities that were MTB detected high hotspots.For the whole of Manicaland, Buhera district had100% MTB detected low hotspots facilities. Ninety percent hotspots were clustered
around 2 of the 15 Genexpert Sites in Manicaland, namely Murambinda Mission Hospital and Chipinge District Hospital.

Conclusion: Study identified health facilities with high frequencies of RR areas. For the identified health facilities with high frequencies of RR specimens, NTP may focus DRTB control interventions like PMDT, or mentoring on ShORRT. For the health facilities with high frequencies of MTB detected NTP can focus trainings in TB Case Management. Instead of uniformly spreading the limited resources to all 325 facilities, efforts streamlined to manageable number of 20 facilities in
commensurate with identified gap( e.g. objective selection of cadres for training, data driven supportive supervision & targeted awareness
campaigns).

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Published
2021-08-10
How to Cite
Zvinoera, K., Mutsvangwa, J., Chikaka, E., Coutinho, T., Kampira, V., & Mharakurwa, S. (2021). Geo-Spatial Distribution of Frequencies of MTB/RIF Detected Specimens based on Requesting Health Facilities in Manicaland Zimbabwe for 2017 and 2018. Medical Journal of Zambia, 48(2), 78 - 84. Retrieved from https://mjz.co.zm/index.php/mjz/article/view/867
Section
Original Articles