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

Anasel, Mackfallen G.; Haisma, Hinke

doi:10.1016/j.srhc.2020.100517

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…It varies due to individual and regional determinants. A study [ 59 ] conducted in Tanzania proposed that contraceptive use increases with household wealth and with an increasing number of children ever born. Further, it was identified that in Tanzania, women who live in urban areas and who see community-based distribution workers and clinic staff as the primary people to talk about family planning are more likely than other women to use contraceptives.…”

Section: Discussionmentioning

confidence: 99%

“…Further, it was identified that in Tanzania, women who live in urban areas and who see community-based distribution workers and clinic staff as the primary people to talk about family planning are more likely than other women to use contraceptives. Education level has been identified as an important factor influencing contraceptive use and may vary at the regional level [59][60][61][62].…”

Section: Country Contextmentioning

confidence: 99%

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Impact of community and provider-driven social accountability interventions on contraceptive uptake in Ghana and Tanzania

Steyn

Cordero

Nai³

et al. 2022

Int J Equity Health

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Background Social accountability, which is defined as a collective process for holding duty bearers and service providers to account for their actions, has shown positive outcomes in addressing the interrelated barriers to quality sexual and reproductive health services. The Community and Provider driven Social Accountability Intervention (CaPSAI) Project contributes to the evidence on the effects of social accountability processes in the context of a family planning and contraceptive programme. Methods A quasi-experimental study utilizing an interrupted time series design with a control group (ITS-CG) was conducted to determine the actual number of new users of contraception amongst women 15–49 years old in eight intervention and eight control facilities per country in Ghana and Tanzania. A standardized facility audit questionnaire was used to collect facility data and completed every year in both intervention and control groups in each country from 2018–2020. Results In Ghana, the two-segmented Poisson Generalized Estimating Equation (GEE) model demonstrated no statistically significant difference at post-intervention, between the intervention and control facilities, in the level of uptake of contraceptives (excess level) (p-value = 0.07) or in the rate of change (excess rate) in uptake (p-value = 0.07) after adjusting for baseline differences. Similarly, in Tanzania, there was no statistical difference between intervention and control facilities, in the level of uptake of contraceptives (excess level) (p-value = 0.20), with the rate of change in uptake (p-value = 0.05) after adjusting for the baseline differences. There was no statistical difference in the level of or rate of change in uptake in the two groups in a sensitivity analysis excluding new users recruited in outreach activities in Tanzania. Conclusions The CAPSAI project intervention did not result in a statistically significant increase in uptake of contraceptives as measured by the number of or increase in new users. In evaluating the impact of the intervention on the intermediate outcomes such as self-efficacy among service users, trust and countervailing power among social groups/networks, and responsiveness of service providers, cases of change and process evaluation should be considered. Trial registration The CaPSAI Project has been registered at the Australian New Zealand Clinical Trials Registry (ACTRN12619000378123, 11/03/2019).

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Section: Discussionmentioning

confidence: 99%

Section: Country Contextmentioning

confidence: 99%

Impact of community and provider-driven social accountability interventions on contraceptive uptake in Ghana and Tanzania

Steyn

Cordero

Nai³

et al. 2022

Int J Equity Health

View full text Add to dashboard Cite

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“…The Alpha coefficient values range from 1 to 5, describing the reliability of factors extracted from Likert scale variables. The higher the score, the more reliable the generated scale: the 0.7 (70%) values indicate an acceptable reliability coefficient [25,26]. As shown in Table 1, Cronbach's alpha for staff knowledge, technological factor, organisational factor, environmental factor, nature of the course, and staff attitudes towards an online course is above 70%, showing that the selected items measured the same underlying construct.…”

Section: Data Management and Analysismentioning

confidence: 91%

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

Anasel,

Swai

2023

PLoS ONE

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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.

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“…At the ward level, there are Health Centres, and every ward in the country is supposed to have a health centre. The lowest level health facility is the dispensary, which fundamentally aims at providing services in rural areas (Anasel, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Good planning and management of health services depends on the availability of reliable, accurate and timely data (Anasel, 2017;Endriyas et al, 2019). In the health sector in Tanzania, most data are collected manually through a paper-based Health Management Information System (HMIS)…”

Section: Introductionmentioning

confidence: 99%

Use of Data in Health Planning Process:

Anasel¹,

SWAI

2021

eajahme

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Introduction In Tanzania, the provision of primary health care services is vested to Local Government Authorities. Council Health Management Teams prepare Comprehensive Council Health Plans to guide the provision of health services within the authorities. The purpose of this study was to describe the process of preparing CCHPs, including the data sources used. Methods Three focus group discussions were conducted with 15 CHMT members. Participants were selected using convenience sampling. Thematic analysis was conducted after discussions that were translated into English and transcribed. Results The focal person and coordinators for the Health Management Information System were cited as the main sources of data for planning. District Health Information System (DHIS2) was the main source of data used in planning although there were some indicators reported, which were far from reality, and therefore, considered unreliable. Conclusion CHMT members should be trained in the basic analysis, and use of DHIS2 data. This would improve their data analysis, and use skills since are imperative to developing a culture of data use in planning.

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

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Cited by 3 publications

References 17 publications

Impact of community and provider-driven social accountability interventions on contraceptive uptake in Ghana and Tanzania

Impact of community and provider-driven social accountability interventions on contraceptive uptake in Ghana and Tanzania

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

Use of Data in Health Planning Process:

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