Maternal knowledge-seeking behavior among pregnant women in Tanzania

Ko, Jesuk; Luhanga, Edith Talina

doi:10.1177/17455065211038442

Cited by 5 publications

(3 citation statements)

References 25 publications

(35 reference statements)

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“…Such variations in utilization rate can be attributed to differences in how HM is defined in each study, as well as the differences in the public acceptance and availability of HM due to cultural influences ( Sim et al, 2013 ; James et al, 2019 ). Considering the low prevalence of exclusive breastfeeding and lack of appropriate breastfeeding knowledge among Tanzanian women ( Hashim et al, 2016 ; Hasselberg et al, 2016 ; Kaaya et al, 2021 ) due to various individual, socio-cultural, and environmental barriers ( Agho et al, 2019 ; Mundagowa et al, 2021 ), appropriate use of HM as galactagogues can potentially allow the mothers to engage in optimal breastfeeding practices and act as a safe alternative to synthetic galactagogues ( Penagos-Tabares et al, 2014 ; Jyotsna and Sameet, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Use of Herbal Medicines Among Breastfeeding Mothers in Tanzania: A Cross-Sectional Study

Millinga

Hwang

et al. 2022

Front. Pharmacol.

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Background: There are limited data on the use of herbal medicines (HM) among breastfeeding mothers, despite the fact that knowledge of the possible benefits or harms of HM use has a direct relationship with the health of infants, especially in resource-limited countries. The study aims to determine the prevalence and factors associated with HM use among breastfeeding mothers in Tanzania.Methods: The study followed a cross-sectional design using a structured survey questionnaire. Survey participants were recruited from the reproductive and child health clinic at Uhuru health center in Morogoro, Tanzania. The survey instrument comprised of 34 questions, including demographic information, the pattern of HM use during breastfeeding, and women’s perceptions of HM. Chi-square test and logistic regression were used for data analysis using SPSS ver. 24.0.Results: The majority of the respondents (53.8%) used HM during breastfeeding. The most commonly used HM was black pepper (Piper nigrum L.; 80.0%), followed by pumpkin seeds (Cucurbita pepo L.; 18.0%). About one-third (27.5%) of HM users discussed their use with their healthcare providers. In addition, higher education levels and low breastmilk supply were identified as potential predictors of HM use.Conclusion: The practice of HM use among breastfeeding mothers in Tanzania is popular to ease breastfeeding difficulties. However, the issue of the safety or effectiveness of HM is still an unknown agenda. This awakens the need to evaluate HM’s safety, efficacy, and quality through pharmacological studies for scientific evidence. Lastly, a clinical guideline should be developed in healthcare settings to promote open dialogues between the healthcare providers and mothers to ensure the safe use of HM.

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Section: Discussionmentioning

confidence: 99%

Use of Herbal Medicines Among Breastfeeding Mothers in Tanzania: A Cross-Sectional Study

Millinga

Hwang

et al. 2022

Front. Pharmacol.

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“…Digital maternal health education is a great way for pregnant women to learn more and change their behavior (Calvert et al, 2021). Applications and the internet can help pregnant women take better care of themselves, which lowers expenditures and lessens the number of times they need to visit the hospital (Kaaya, Ko, and Luhanga, 2021).…”

Section: Resultsmentioning

confidence: 99%

Pregnant Women's Readiness During the Covid-19 Pandemic

Tendean,

Dewi,

Ering

2023

jika

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A category of people who are susceptible to COVID-19 infection is pregnant women. The safety of the mother and fetus can be determined in large part by how prepared pregnant women are to give birth. Pregnant women who are mentally and physically prepared for childbirth can have a healthy delivery that includes the removal of the baby, placenta, and membranes. The purpose of this study is to investigate how prepared expectant mothers felt for childbirth during the COVID-19 epidemic. This study employs a qualitative methodology and phenomenology. In this study, 11 informants participated. Face-to-face interviews and semi-structured video were employed in the data collection process. According to the study's findings, there were five key elements in pregnant women's preparedness for childbirth during the COVID-19 pandemic: 1) worry about COVID-19 exposure, 2) keeping healthy throughout the COVID-19 pandemic, 3) adhering to our ancestors' culture, 4) preparing for a safe and comfortable delivery, and 5) receiving the best medical facility services. Pregnant women must maintain their health and carefully arrange their deliveries. Health facilities are crucial in assisting expectant mothers with labor preparation, particularly during the pandemic. During the COVID-19 pandemic, telehealth may be employed as a substitute method of reaching pregnant women.

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“…In Tanzania, there have been several dedicated initiatives to develop and use ICT-based tools in providing MNCH services and information to pregnant women for the well-being of mothers and expected newborns [12]. This includes; Wired-mothers, a project that links pregnant women to primary health care using mobile phones in Zanzibar [13]; "Health pregnancy, Health baby" a text messaging service project aimed at delivering high-quality antenatal care (ANC) in Tanzania [14]; "Wazazi nipendeni" an SMS based service that aims at keeping women aware of pregnancy danger signs, diet during pregnancy, family planning methods and other important information on pregnancy and childbirth [15].…”

Section: Introductionmentioning

confidence: 99%

Development of Machine Learning-Based Model for Quality Measurement in Maternal, Neonatal and Child Health Services: A Country Level Model for Tanzania

Nyanjara¹,

Machuve²,

Nykänen³

2022

IJASRE

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Background: The high maternal and neonatal mortality in developing countries is frequently linked to inadequacies in the quality of maternal, neonatal, and child health (MNCH) services provided. Quality measurement is among the recommended strategies for quality improvement in MNCH care. Consequently, developing countries require a novel quality measurement approach that can routinely facilitate the measurement and reporting of MNCH care quality. An effective quality measurement approach can enhance quality measurement and improve the quality of MNCH care. This study intends to explore the effectiveness of approaches available for MNCH quality measurement in developing countries. The study further proposes a machine learning-based approach for MNCH quality measurement. Method: A comprehensive literature search from Pub Med, HINARI, ARDI, and Google Scholar electronic databases was conducted. Also, a search for organizations' websites, including World Health Organization (WHO), USAID's MEASURE Evaluation Project, Engender Health, and Family Planning 2020 (FP2020), was included. A search from databases yielded 324 articles, 32 of which met inclusion criteria. Extracted articles were synthesized and presented. Findings: The majority of quality measurement approaches are manual and paper-based. Therefore are laborious, time-consuming and prone to human errors. Also, it was observed that most approaches are costly since they require trained data collectors and special data sets for quality measurement. It is further noticed that the complexity of the quality measurement process and extra funds needed to facilitate data collection for quality measurement puts an extra burden on developing countries that always face constraints in health budgets. The study further proposes a machine learning-based approach for measuring MNCH quality. In developing this model, financial and human resource constrain were considered. Conclusion: The study found a variety of quality assessment approaches available for quality assessment on MNCH in developing countries. However, the majority of the existing approaches are relatively ineffective. Measuring MNCH quality by a machine learning-based approach could be advantageous and establish a much larger evidence base for MNCH health policies for Tanzania.

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Maternal knowledge-seeking behavior among pregnant women in Tanzania

Cited by 5 publications

References 25 publications

Use of Herbal Medicines Among Breastfeeding Mothers in Tanzania: A Cross-Sectional Study

Use of Herbal Medicines Among Breastfeeding Mothers in Tanzania: A Cross-Sectional Study

Pregnant Women's Readiness During the Covid-19 Pandemic

Development of Machine Learning-Based Model for Quality Measurement in Maternal, Neonatal and Child Health Services: A Country Level Model for Tanzania

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