Improving pregnant women’s knowledge on danger signs and birth preparedness practices using an interactive mobile messaging alert system in Dodoma region, Tanzania: a controlled quasi experimental study

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Study Justification:
– High maternal and perinatal mortality rates in low-income countries
– Need for early detection and management of danger signs in pregnant women
– Limited access to maternal services in Dodoma region, Tanzania
Study Highlights:
– Controlled quasi-experimental study with 450 pregnant women
– Intervention group received interactive mobile messaging alert system
– Control group received usual antenatal care services
– Significant improvement in knowledge on danger signs and birth preparedness in intervention group
– Positive association between intervention and knowledge level and birth preparedness
Study Recommendations:
– Implement interactive mobile messaging alert system for pregnant women in Dodoma region
– Provide health education messages on danger signs and birth preparedness
– Encourage pregnant women to ask questions and seek information through the system
Key Role Players:
– Healthcare facilities offering antenatal care and delivery services
– Makole Health Center and Dodoma Regional Referral Hospital
– Nurses, doctors, and other healthcare providers
– System administrator for the interactive messaging system
Cost Items for Planning Recommendations:
– Development and integration of the interactive messaging alert system
– Server and mobile gateway for sending and receiving SMS messages
– Training for healthcare providers on using the system
– Monitoring and evaluation of the system’s effectiveness
– Communication costs for pregnant women who call or text the system

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, as it presents a controlled quasi experimental study with a sample size of 450 pregnant women. The study employed statistical analyses to compare the intervention and control groups, and found significant differences in knowledge and birth preparedness between the two groups. The study also used a multivariate linear regression to show a positive association between the intervention and the level of knowledge and birth preparedness. However, to improve the evidence, the abstract could provide more details on the specific statistical tests used and their results, as well as any limitations of the study.

Background: Unacceptably high maternal and perinatal mortality remain a major challenge in many low income countries. Early detection and management of danger signs through improved access to maternal services is highly needed for better maternal and infant outcomes. The aim of this study was to test the effectiveness of an interactive mobile messaging alert system on improving knowledge on danger signs, birth preparedness and complication readiness practices among pregnant women in Dodoma region, Tanzania. Methods: A controlled quasi experimental study of 450 randomly selected pregnant women attending antenatal care was carried in Dodoma municipal. Participants were recruited at less than 20 weeks of gestation during the first visit where 150 were assigned to the intervention and 300 to the control group. The intervention groups was enrolled in an interactive mobile messaging system and received health education messages and were also able to send and receive individualized responses on a need basis. The control group continued receiving usual antenatal care services offered at the ANC centers. Pregnant women were followed from their initial visit to the point of delivery. Level of knowledge on danger signs and birth preparedness were assessed at baseline and a post test was again given after delivery for both groups. Analyses of covariance, linear regression were employed to test the effectiveness of the intervention. Results: The mean age of participants was 25.6 years ranging from 16 to 48 years. There was significant mean scores differences for both knowleadge and birth preparedness between the intervention and the control group after the intervention (p <.001). The mean knowleadge score was (M = 9.531,SD = 2.666 in the intervention compared to M = 6.518,SD = 4.304 in the control, equivalent to an effect size of 85% of the intervention. Meanwhile, the mean score for IBPACR was M = 4.165,SD = 1.365 for the intervention compared to M = 2.631,SD = 1.775 in the control group with an effect size of 90% A multivariate linear regression showed a positive association between the intervention (p  12 h), convulsions, difficulty in breathing and retained placenta). Phase 3: Danger signs during postpartum (severe vaginal bleeding, foul-smelling vaginal discharge, and fever). Phase 4: Danger signs in the newborn; pitched cry, difficult feeding (unable to suckle), fits (convulsions), loss of consciousness, hot to touch (hyperthermia), difficult breathing, jaundice, failure to pass urine /stool in the first 24 h [14]. ii) Individual birth preparedness and complications readiness: This was measured with nine items. The woman was asked to tell important things/supplies that she prepared for birth and for emergencies, and see whether she knew the basic steps of IBPACR i) Knowing expected date of delivery (EDD) which was confirmed in her RCH 4 card, ii) Identified a skilled birth attendant iii) Identified the mode of transport for delivery and/or for obstetric emergency, iv) Saved money v) Identified two blood donors vi) Prepare supplies for birth and emergencies vii) Prepared a person to escort her during labor or in case of emergency viii) Prepared a person to take care of the family in her absence, and ix) Identified health facility for delivery/ or for an emergency. A score of one was awarded for a correct mentioned response and a maximum score was 9 for those who mentioned all the nine basic components of IBPACR and a score of 0 for those who mentioned none. Semi-structured questionnaire (with both closed and open-ended questions) was developed to be interviewer-administered. This ensured that those unable to read and write could fully participate and also to ensure optimal capturing of all the needed information. The questionnaire included questions on socio-demographic characteristics, knowledge of key danger signs during pregnancy, childbirth, postpartum and danger signs in newborn and individual birth preparedness and complication readiness. The questionnaire was first developed in English and then translated later to Kiswahili which is the national language of Tanzania and the language used by the study population. The questionnaire was adopted and modified from Jhpiego and modified to fit the Tanzanian context [15] also from Tanzania Demographic and Health Survey 2015/2016 and from Nepal Demographic and Health Survey [16]. An interactive messaging alert system was developed and integrated into the computerized database. The application was developed in January, 2018 and moved to a server and connected to a mobile gateway with enhanced capability to handle multiple and simultaneous SMS problems from the system. Specially designed software automatically generated and sent text messages. The information required for the interactive messaging software such as gestational age and mobile phone number were gathered in the first visit and entered into system by the registering nurses with the help of the system administrator. The aim of the SMS components was to provide simple health education information on obstetric and newborn danger signs and information on individual birth preparedness and complication readiness. Text messages were sent to both expecting parents (mother and father). The content of the messages was developed by an inter-professional team of nurse midwives and obstetricians from the College of Health Sciences at the University of Dodoma. The intervention group was pretested with a baseline questionnaire and then started receiving messages. After the intervention they were again given the same questionnaire to ensure consistency as a post-test. The control group was also pre-tested and received the current standard ANC service. They also completed a post-test after delivery. The communication was two-way communication whereby participants were able to send and receive health education messages (see Fig. ​Fig.1).1). With the interactive message, a pregnant woman could send text SMS through the system and reach a doctor or nurse. The health provider could respond the message through the system and it was directed back to the pregnant women. The health education SMS messages sent to pregnant women were free of charge for the recipients. The pregnant women were only charged if they called or texted the system in which case, their cost was the standard charge by their individual local network provider. Women were allowed to ask as many questions as they wanted and all the communication were recorded to the system database to identify the patterns of messages and the frequently asked questions. The majority of the participants in the intervention group accessed services and at the end there were more compliments than complaints about the system and appreciations from mothers and their partner. The logical flow diagram which show how this SMS module for two SMS worked Message content was checked for standard and provided as simple SMS in the local language of Swahili. The constructed SMS did not exceed 480 words equivalent to three SMS, sent at different interval of time depending on the gestational age. In the first trimester one message was sent per week, in the second trimester two messages were sent per week and in the third trimester three messages were sent per week. It was done this way to avoid frequently repetition and irritations and to monitor the flow and frequencies of message. The majority of women responded at least once, with 96.5% of pregnant mother texting back for appreciation or to ask questions. In this study, data was nalyzed by using the Statistical Product for Service Solutions (SPSS) software program version 21. Before conducting the analysis the questionnaires were checked for completeness followed by error checking (data cleaning) by using frequency distribution tables to see if all the data were entered correctly. Both descriptive and inferential analyses were carried out as per the objectives of the study. Descriptive analysis was used to analyze participant’s characteristics to determine the frequencies and a percentage of their distributions between the two groups. Analysis of covariance (ANCOVA) was used to compare the mean scores between intervention and control group. Simple and multiple linear regression analysis were employed to test the predictors of change in knowledge level and birth preparedness between the intervention and control group adjusting for possible confounders. A confidence interval of 95% with the margin of error 5% (0.05) were used as statistical measure of significance ( 0.05 not significant). Sample characteristics and the type of analysis to be done in this study were determined by running the normality test. Findings showed that parametric methods were the recommended type for data analysis. The visual inspection of their histograms, normal P-P plots showed that the variables were approximately normally distributed. Therefore, the mean, median and range were used as measures of central tendency. The data were also tested for kurtosis and skewness and the data were within the normal range.

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The recommendation from the study is to develop and implement an interactive mobile messaging alert system to improve access to maternal health services. This system would provide pregnant women with health education messages on danger signs and birth preparedness practices. The study conducted in Dodoma region, Tanzania, showed that the interactive messaging system was effective in increasing women’s knowledge on danger signs and improving their birth preparedness practices. The system allowed for two-way communication, where pregnant women could send and receive individualized responses from healthcare providers. The messages were sent at different intervals based on the gestational age of the women. The study found significant improvements in knowledge and birth preparedness among the intervention group compared to the control group. This innovation has the potential to improve access to maternal health services and reduce maternal and perinatal mortality rates in low-income countries. The study was published in the journal Reproductive Health in 2019.
AI Innovations Description
The recommendation from the study is to develop and implement an interactive mobile messaging alert system to improve access to maternal health services. This system would provide pregnant women with health education messages on danger signs and birth preparedness practices. The study conducted in Dodoma region, Tanzania, showed that the interactive messaging system was effective in increasing women’s knowledge on danger signs and improving their birth preparedness practices. The system allowed for two-way communication, where pregnant women could send and receive individualized responses from healthcare providers. The messages were sent at different intervals based on the gestational age of the women. The study found significant improvements in knowledge and birth preparedness among the intervention group compared to the control group. This innovation has the potential to improve access to maternal health services and reduce maternal and perinatal mortality rates in low-income countries. The study was published in the journal Reproductive Health in 2019.
AI Innovations Methodology
To simulate the impact of the recommendations mentioned in the abstract on improving access to maternal health, a methodology could be developed as follows:

1. Identify the target population: Determine the specific population that the interactive mobile messaging alert system would be implemented for. This could include pregnant women in low-income countries, specifically in regions with high maternal and perinatal mortality rates.

2. Design the intervention: Develop an interactive mobile messaging alert system that provides health education messages on danger signs and birth preparedness practices to pregnant women. The system should allow for two-way communication, enabling pregnant women to send and receive individualized responses from healthcare providers. Messages should be sent at different intervals based on the gestational age of the women.

3. Select study sites: Choose specific regions or healthcare facilities where the intervention will be implemented. Consider factors such as accessibility, population size, and existing maternal health services.

4. Randomize participants: Randomly assign pregnant women attending antenatal care to either the intervention group (receiving the interactive messaging system) or the control group (receiving usual antenatal care services).

5. Baseline assessment: Assess the knowledge of danger signs and birth preparedness practices among participants in both the intervention and control groups before the intervention begins. This can be done through surveys or questionnaires.

6. Implement the intervention: Start sending health education messages through the interactive messaging system to the intervention group. Ensure that the messages are tailored to the gestational age of the women and cover important information on danger signs and birth preparedness.

7. Follow-up and data collection: Track the progress of participants in both the intervention and control groups throughout their pregnancy until delivery. Collect data on knowledge levels, birth preparedness practices, and any maternal or perinatal outcomes.

8. Post-intervention assessment: After delivery, assess the knowledge and birth preparedness practices of participants in both groups again using the same surveys or questionnaires administered at baseline.

9. Analyze the data: Use statistical analysis methods such as analysis of covariance (ANCOVA) and linear regression to compare the mean scores between the intervention and control groups. Adjust for possible confounders and calculate effect sizes to determine the effectiveness of the intervention.

10. Evaluate the impact: Assess the impact of the interactive messaging system on improving access to maternal health services by analyzing the changes in knowledge and birth preparedness practices between the intervention and control groups. Consider the significance of the findings and the effect sizes.

11. Draw conclusions and make recommendations: Based on the results of the simulation, draw conclusions about the effectiveness of the interactive messaging system in improving access to maternal health services. Provide recommendations for implementing this system in real-world settings to reduce maternal and perinatal mortality rates in low-income countries.

It is important to note that this methodology is a simulation and should be adapted and validated through actual research studies to provide more accurate and reliable results.

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