Documenting the implementation processes and effects of the data use initiatives in primary health care settings in Tanzania: A before-after mixed methods study protocol.

Background: The use of data in decision making and planning in primary health care settings is critical for improving efficiency and health outcomes for patients and communities. Implementation research can be used to fully understand the effects, context, challenges, and facilitators of data use, as well as how to scale up data use interventions. However, in the context of low resource settings, little is known about how implementation research can be employed to assess the implementation and impact of data use interventions.

Factors to determine the adoption of online teaching in Tanzania's Universities during the COVID-19 pandemic.

Background: Face to face mode of delivery has been a standard method of teaching courses in the majority of African Universities Tanzania included. The COVID-19 pandemic has caused the closure of all schools and universities worldwide; therefore, face-to-face teaching is no longer the only appropriate and feasible teaching method. This requires changes in the teaching method with the remarkable rise of e-learning, whereby teaching must be undertaken remotely and on digital platforms.

Vaccine management practices among healthcare workers in Morogoro, Tanzania: a cross-sectional study.

Background: Effective vaccine management is essential to maintain the quality of vaccines, minimise wastages, and prevent missed opportunities for vaccination at service delivery points.

Objectives: This study aims to assess vaccine management practices among vaccinators at health facilities in the Morogoro region, Tanzania.

Methodology: A descriptive cross-sectional study design involved health workers from 77 health facilities offering vaccination services.

Variation in contraceptive prevalence rates in Tanzania: A multilevel analysis of individual and regional determinants.

Objective: The aim of this study was to answer two key questions: (1) what are the individual and regional determinants of contraceptive use; and (2) what are the effect(s) of individual and regional variables on regional differences in contraceptive use?

Data And Method: Multilevel logistic regression was applied on data from the Tanzania Demographic and Health Survey (TDHS) 2010 that allowed us to investigate simultaneously the individual and the regional determinants of contraceptive use and its regional variation.

Results: There was significant variation in contraceptive use, both between population groups as well as between regions. A higher number of children ever born, urban residence, and a non-manual occupation are characteristics associated with higher odds of a woman using contraceptives.