9 research outputs found

    Mother and Baby in Tanzania

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    "The purpose of my dissertation research is to describe mothers’ perceptions of childbirth experience at a hospital in rural Tanzania. In rural Tanzania, half of all mothers give birth without any form of medical assistance. This condition results in one of the highest maternal and neonatal mortality rates in the world. One of the major barriers to hospital births is mothers’ negative attitudes toward quality of health care and health care workers in a hospital. The findings of the research will convey the voice of mothers so that health care services can improve in the way that mothers want. The image shows a mother who is walking toward a small clinic with her baby. The background is very dry desert without any paved road. Mothers come to a health care facility mostly by walking even though they have to walk for several hours. In this hard circumstance with high maternal and neonatal mortality, it is fortunate that a mother and her baby are healthy after birth. However, the researcher hopes that more mothers and babies could survive with proper professional assistance. This exotic image represents the ultimate goal of the research: more mothers and babies could survive and live healthily.

    The comparison of BPQ scores between the intervention and control groups in unadjusted and adjusted ANCOVA.

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    The comparison of BPQ scores between the intervention and control groups in unadjusted and adjusted ANCOVA.</p

    Recruitment and data collection process.

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    To address Tanzania’s high maternal mortality ratio, it is crucial to increase women’s access to healthcare. To improve access, the quality of antenatal care needs to be improved. Therefore, we conducted a pilot study of a smartphone app for midwives and examined its potential effects on the learning outcomes of midwives and birth preparedness of pregnant women in Tanzania. This mixed-methods, pilot study provided an educational app for midwives in the intervention group, obtained data about the continuous use of the app, measured midwives’ learning outcomes, directed focus group discussions on the usability of the app, and conducted surveys among pregnant women about birth preparedness in the intervention and control groups to evaluate if midwives provided proper information to them. The control group received regular antenatal care and answered the same survey. Participants were 23 midwives who participated in the testing and provided learning outcome data. Twenty-one participated in focus group discussions. Results showed that 87.5% of midwives continued to study with the app two months post-intervention. A mini-quiz conducted after using the app showed a significant increase in mean scores (6.9 and 8.4 points, respectively) and a non-significant increase on the questionnaire on women-centered care (98.6 and 102.2 points, respectively). In the focus group discussions, all midwives expressed satisfaction with the app for several reasons, including comprehensive content, feelings of confidence, and reciprocal communication. There were 207 pregnant women included in the analysis. The intervention group had significantly higher knowledge scores and home-based value scores than did controls. The total scores and other subscales did not show statistical significance for group differences. The results indicate the potential impact of the midwifery education app when it is implemented on a larger scale, especially considering that the results show a potential effect on midwives’ learning outcomes.</div

    Categories and sub-categories emerged from the focus group discussion.

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    Categories and sub-categories emerged from the focus group discussion.</p

    Learning achievements of midwives.

    No full text
    To address Tanzania’s high maternal mortality ratio, it is crucial to increase women’s access to healthcare. To improve access, the quality of antenatal care needs to be improved. Therefore, we conducted a pilot study of a smartphone app for midwives and examined its potential effects on the learning outcomes of midwives and birth preparedness of pregnant women in Tanzania. This mixed-methods, pilot study provided an educational app for midwives in the intervention group, obtained data about the continuous use of the app, measured midwives’ learning outcomes, directed focus group discussions on the usability of the app, and conducted surveys among pregnant women about birth preparedness in the intervention and control groups to evaluate if midwives provided proper information to them. The control group received regular antenatal care and answered the same survey. Participants were 23 midwives who participated in the testing and provided learning outcome data. Twenty-one participated in focus group discussions. Results showed that 87.5% of midwives continued to study with the app two months post-intervention. A mini-quiz conducted after using the app showed a significant increase in mean scores (6.9 and 8.4 points, respectively) and a non-significant increase on the questionnaire on women-centered care (98.6 and 102.2 points, respectively). In the focus group discussions, all midwives expressed satisfaction with the app for several reasons, including comprehensive content, feelings of confidence, and reciprocal communication. There were 207 pregnant women included in the analysis. The intervention group had significantly higher knowledge scores and home-based value scores than did controls. The total scores and other subscales did not show statistical significance for group differences. The results indicate the potential impact of the midwifery education app when it is implemented on a larger scale, especially considering that the results show a potential effect on midwives’ learning outcomes.</div

    Means of WCC23E, pre- and post-intervention.

    No full text
    To address Tanzania’s high maternal mortality ratio, it is crucial to increase women’s access to healthcare. To improve access, the quality of antenatal care needs to be improved. Therefore, we conducted a pilot study of a smartphone app for midwives and examined its potential effects on the learning outcomes of midwives and birth preparedness of pregnant women in Tanzania. This mixed-methods, pilot study provided an educational app for midwives in the intervention group, obtained data about the continuous use of the app, measured midwives’ learning outcomes, directed focus group discussions on the usability of the app, and conducted surveys among pregnant women about birth preparedness in the intervention and control groups to evaluate if midwives provided proper information to them. The control group received regular antenatal care and answered the same survey. Participants were 23 midwives who participated in the testing and provided learning outcome data. Twenty-one participated in focus group discussions. Results showed that 87.5% of midwives continued to study with the app two months post-intervention. A mini-quiz conducted after using the app showed a significant increase in mean scores (6.9 and 8.4 points, respectively) and a non-significant increase on the questionnaire on women-centered care (98.6 and 102.2 points, respectively). In the focus group discussions, all midwives expressed satisfaction with the app for several reasons, including comprehensive content, feelings of confidence, and reciprocal communication. There were 207 pregnant women included in the analysis. The intervention group had significantly higher knowledge scores and home-based value scores than did controls. The total scores and other subscales did not show statistical significance for group differences. The results indicate the potential impact of the midwifery education app when it is implemented on a larger scale, especially considering that the results show a potential effect on midwives’ learning outcomes.</div

    Demographic characteristics of the pregnant women.

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    Demographic characteristics of the pregnant women.</p

    Means of the mini-quiz, pre- and post-intervention.

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    Means of the mini-quiz, pre- and post-intervention.</p

    Notes based on the mHealth evidence reporting and assessment guideline by WHO.

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    Notes based on the mHealth evidence reporting and assessment guideline by WHO.</p
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