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1.
PLoS One ; 18(10): e0292065, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37796935

RESUMO

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. OBJECTIVE: The main objective of this study is to determine the perceived factors that hinder the adoption of online teaching in Tanzanian universities. METHOD: A mixed method dominated by a quantitative approach was used to answer the research questions. A total of 173 academic and ICT staff from nineteen universities in Tanzania participated in this study. Descriptive statistics (univariate analysis) and binary logistic regression were applied to analyse the frequency and compare the mean to describe the characteristics of respondents and determine the factors influencing the academic staff to have an online course. This was followed by content analysis to analyse the academic staff's proposed adaptation to online classes. RESULTS: The findings indicated that the main hindrances to online teaching are lack of capacity; knowledge on how to conduct online courses; knowledge and technological factors; environmental factors; staff attitudes towards delivering online courses, and years spent using eLearning. The academic staff proposed improving ICT infrastructure and strengthening the capacity of academic staff to provide online courses. CONCLUSION: The study concludes that most academic staff are willing to adopt online teaching while suggesting improving the organisational and individual factors to enhance online education. The paper recommends that the university use freely available online teaching tools and platforms while simultaneously focusing on addressing the corporate and individual factors identified in this paper to enhance online teaching, which is mandatory in response to lockdown measures.


Assuntos
COVID-19 , Humanos , Universidades , COVID-19/epidemiologia , Pandemias , Tanzânia/epidemiologia , Controle de Doenças Transmissíveis
2.
Sex Reprod Healthc ; 25: 100517, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-32512537

RESUMO

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. Women who talk about family planning with community-based distribution workers and clinic staff also have higher odds of using contraceptives. The regional differences in the shares of women with a secondary education or above explain a significant portion of the regional variance in contraceptive use. Having secondary education and above is related to lower contraceptive use. CONCLUSION: This study constitutes a first step towards gaining a better understanding of the macro-level effects on decision-making processes regarding contraceptive use. The regional educational level explains a significant portion of the regional variance in contraceptive use. IMPLICATION STATEMENT: An advantage of our study over other studies in Tanzania is that we extended the determinants of contraceptive use to include not only individual-level factors, but also regional-level factors.


Assuntos
Comportamento Contraceptivo/estatística & dados numéricos , Comportamento Contraceptivo/tendências , Adolescente , Adulto , Escolaridade , Serviços de Planejamento Familiar/métodos , Feminino , Humanos , Pessoa de Meia-Idade , Análise Multinível , Prevalência , Análise de Regressão , Fatores Socioeconômicos , Tanzânia/epidemiologia , Adulto Jovem
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