Developing targeted client communication messages to pregnant women in Bangladesh: a qualitative study

AbstractBackground:Timely and appropriate evidence-based practices during antenatal care improve maternal andneonatal health. There is a lack of information on how pregnant women and families perceive antenatal care inBangladesh. The aim of our study was to develop targeted client communication via text messages for increasingantenatal care utilization, as part of an implementation of an electronic registry for maternal and child health.Methods:Using a phenomenological approach, we conducted this qualitative study from May to June 2017 in two sub-districts of Chandpur district, Bangladesh. We selected study participants by purposive sampling. A total of 24 in-depthinterviews were conductedwithpregnantwomen(n= 10), lactating women (n=5),husbands(n= 5), and mothers-in-law(n= 4). The Health Belief Model (HBM) was used to guide the datacollection. Thematic analysis was carried out manuallyaccording to the HBM constructs. We used behavior change techniques to inform the development of targeted clientcommunication based on the thematic results.Results:Almost no respondents mentioned antenatal care as a preventive form of care, and only perceived it as necessary ifany complications developed during pregnancy. Knowledge of the content of antenatal care (ANC) and pregnancycomplications was low. Women reported avariety of reasons for not attending ANC, including the lack of information onthe timing of ANC; lack of decision-making power; long-distance to access care; being busy with household chores, and notbeing satisfied with the treatment by health care providers. Study participants recommended phone calls as their preferredcommunication strategy when asked to choose between thephone call and text message, but saw text messages as afeasible option. Based on the findings, we developed a library of 43 automatically customizable text messages to increaseANC utilization.Conclusions:Pregnant women and family members had limited knowledge about antenatal care and pregnancycomplications. Effective health information through text messages could increase awareness of antenatal careamong the pregnant women in Bangladesh. This study presents an example of designing targeted clientcommunication to increase antenatal care utilization within formal scientific frameworks, including a taxonomy ofbehavior change techniques.publishedVersio

An Electronic Registry for Improving the Quality of Antenatal Care in Rural Bangladesh (eRegMat): Protocol for a Cluster Randomized Controlled Trial

Background: Digital health interventions (DHIs) can alleviate several barriers to achieving better maternal and child health. The World Health Organization’s guideline recommendations for DHIs emphasize the need to integrate multiple DHIs for maximizing impact. The complex health system of Bangladesh provides a unique setting for evaluating and understanding the role of an electronic registry (eRegistry) for antenatal care, with multiple integrated DHIs for strengthening the health system as well as improving the quality and utilization of the public health care system. Objective: The aim of this study is to assess the effect of an eRegistry with DHIs compared with a simple digital data entry tool without DHIs in the community and frontline health facilities. Methods: The eRegMat is a cluster-randomized controlled trial conducted in the Matlab North and Matlab South subdistricts in the Chandpur district, Bangladesh, where health facilities are currently using the eRegistry for digital tracking of the health status of pregnant women longitudinally. The intervention arm received 3 superimposed data-driven DHIs: health worker clinical decision support, health worker feedback dashboards with action items, and targeted client communication to pregnant women. The primary outcomes are appropriate screening as well as management of hypertension during pregnancy and timely antenatal care attendance. The secondary outcomes include morbidity and mortality in the perinatal period as well as timely first antenatal care visit; successful referrals for anemia, diabetes, or hypertension during pregnancy; and facility delivery. Results: The eRegistry and DHIs were co-designed with end users between 2016 and 2018. The eRegistry was implemented in the study area in July 2018. Recruitment for the trial started in October 2018 and ended in June 2020, followed by an 8-month follow-up period to capture outcome data until February 2021. Trial results will be available for publication in June 2021. Conclusions: This trial allows the simultaneous assessment of multiple integrated DHIs for strengthening the health system and aims to provide evidence for its implementation. The study design and outcomes are geared toward informing the living review process of the guidelines for implementing DHIs.publishedVersio

Comparison of a palm-based biometric solution with a name-based identification system in rural Bangladesh

Background Unique identifiers are not universal in low- and middle-income countries. Biometric solutions have the potential to augment existing name-based searches used for identification in these settings. This paper describes a comparison of the searching accuracy of a palm-based biometric solution with a name-based database. Objective To compare the identification of individuals between a palm-based biometric solution to a name-based District Health Information Software 2 (DHIS2) Android application, in a low-resource setting. Methods The study was conducted in Chandpur district, Bangladesh. Trained data collectors enrolled 150 women of reproductive age into two android applications – i) a name-based DHIS2 application, and ii) a palm-based biometric solution – both run on tablets. One week after enrollment, a different research team member attempted to re-identify each enrolled woman using both systems. A single image or text-based name was used for searching at the time of re-identification. We interviewed data collectors at the end of the study. Results Significantly more women were successfully identified on the first attempt with a palm-based biometric application (84%) compared with the name-based DHIS2 application (61%). The proportion of identifications that required three or more attempts was similar between name-based (7%, CI 3.7–12.3) and palm-based biometric system (5%, CI: 1.9–9.4). However, the total number of attempts needed was significantly lower with the palm-based solution (mean 1.2 vs. 1.5, p < 0.001). In a group discussion, data collectors reported that the palm-based biometric identification system was both accurate and easy to use. Conclusion A palm-based biometric identification system on mobile devices was found to be an easy-to-use and accurate technology for the unique identification of individuals compared to an existing name-based application. Our findings imply that palm-based biometrics on mobile devices may be the next step in establishing unique identifiers in remote and rural settings where they are currently absent.publishedVersio

Developing targeted client communication messages to pregnant women in Bangladesh: a qualitative study

AbstractBackground:Timely and appropriate evidence-based practices during antenatal care improve maternal andneonatal health. There is a lack of information on how pregnant women and families perceive antenatal care inBangladesh. The aim of our study was to develop targeted client communication via text messages for increasingantenatal care utilization, as part of an implementation of an electronic registry for maternal and child health.Methods:Using a phenomenological approach, we conducted this qualitative study from May to June 2017 in two sub-districts of Chandpur district, Bangladesh. We selected study participants by purposive sampling. A total of 24 in-depthinterviews were conductedwithpregnantwomen(n= 10), lactating women (n=5),husbands(n= 5), and mothers-in-law(n= 4). The Health Belief Model (HBM) was used to guide the datacollection. Thematic analysis was carried out manuallyaccording to the HBM constructs. We used behavior change techniques to inform the development of targeted clientcommunication based on the thematic results.Results:Almost no respondents mentioned antenatal care as a preventive form of care, and only perceived it as necessary ifany complications developed during pregnancy. Knowledge of the content of antenatal care (ANC) and pregnancycomplications was low. Women reported avariety of reasons for not attending ANC, including the lack of information onthe timing of ANC; lack of decision-making power; long-distance to access care; being busy with household chores, and notbeing satisfied with the treatment by health care providers. Study participants recommended phone calls as their preferredcommunication strategy when asked to choose between thephone call and text message, but saw text messages as afeasible option. Based on the findings, we developed a library of 43 automatically customizable text messages to increaseANC utilization.Conclusions:Pregnant women and family members had limited knowledge about antenatal care and pregnancycomplications. Effective health information through text messages could increase awareness of antenatal careamong the pregnant women in Bangladesh. This study presents an example of designing targeted clientcommunication to increase antenatal care utilization within formal scientific frameworks, including a taxonomy ofbehavior change techniques

eRegTime—Time Spent on Health Information Management in Primary Health Care Clinics Using a Digital Health Registry Versus Paper-Based Documentation: Cluster-Randomized Controlled Trial

Background: Digital health interventions have been shown to improve data quality and health services in low- and middle-income countries (LMICs). Nonetheless, in LMICs, systematic assessments of time saved with the use of digital tools are rare. We ran a set of cluster-randomized controlled trials as part of the implementation of a digital maternal and child health registry (eRegistry) in the West Bank, Palestine. Objective: In the eRegTime study, we compared time spent on health information management in clinics that use the eRegistry versus the existing paper-based documentation system. Methods: Intervention (eRegistry) and control (paper documentation) arms were defined by a stratified random subsample of primary health care clinics from the concurrent eRegQual trial. We used time-motion methodology to collect data on antenatal care service provision. Four observers used handheld tablets to record time-use data during one working day per clinic. We estimated relative time spent on health information management for booking and follow-up visits and on client care using mixed-effects linear regression. Results: In total, 22 of the 24 included clinics (12 intervention, 10 control) contributed data; no antenatal care visits occurred in the other two clinics during the study period. A total of 123 and 118 consultations of new pregnancy registrations and follow-up antenatal care visits were observed in the intervention and control groups, respectively. Average time spent on health information management for follow-up antenatal care visits in eRegistry clinics was 5.72 minutes versus 8.10 minutes in control clinics (adjusted relative time 0.69, 95% CI 0.60-0.79; P<.001), and 15.26 minutes versus 18.91 minutes (adjusted relative time 0.96, 95% CI 0.61-1.50; P=.85) for booking visits. The average time spent on documentation, a subcategory of health information management, was 5.50 minutes in eRegistry clinics versus 8.48 minutes in control clinics (adjusted relative time 0.68, 95% CI 0.56-0.83; P<.001). While the average time spent on client care was 5.01 minutes in eRegistry clinics versus 4.91 minutes in control clinics, some uncertainty remains, and the CI was consistent with eRegistry clinics using less, the same, or more time on client care compared to those that use paper (adjusted relative time 0.85, 95% CI 0.64-1.13; P=.27). Conclusions: The eRegistry captures digital data at point of care during client consultations and generates automated routine reports based on the clinical data entered. Markedly less time (plausibly a saving of at least 18%) was spent on health information management in eRegistry clinics compared to those that use paper-based documentation. This is likely explained by the fact that the eRegistry requires lesser repetitive documentation work than paper-based systems. Adoption of eRegistry-like systems in comparable settings may save valuable and scarce health care resources.publishedVersio

An Electronic Registry for Improving the Quality of Antenatal Care in Rural Bangladesh (eRegMat): Protocol for a Cluster Randomized Controlled Trial

Background: Digital health interventions (DHIs) can alleviate several barriers to achieving better maternal and child health. The World Health Organization’s guideline recommendations for DHIs emphasize the need to integrate multiple DHIs for maximizing impact. The complex health system of Bangladesh provides a unique setting for evaluating and understanding the role of an electronic registry (eRegistry) for antenatal care, with multiple integrated DHIs for strengthening the health system as well as improving the quality and utilization of the public health care system. Objective: The aim of this study is to assess the effect of an eRegistry with DHIs compared with a simple digital data entry tool without DHIs in the community and frontline health facilities. Methods: The eRegMat is a cluster-randomized controlled trial conducted in the Matlab North and Matlab South subdistricts in the Chandpur district, Bangladesh, where health facilities are currently using the eRegistry for digital tracking of the health status of pregnant women longitudinally. The intervention arm received 3 superimposed data-driven DHIs: health worker clinical decision support, health worker feedback dashboards with action items, and targeted client communication to pregnant women. The primary outcomes are appropriate screening as well as management of hypertension during pregnancy and timely antenatal care attendance. The secondary outcomes include morbidity and mortality in the perinatal period as well as timely first antenatal care visit; successful referrals for anemia, diabetes, or hypertension during pregnancy; and facility delivery. Results: The eRegistry and DHIs were co-designed with end users between 2016 and 2018. The eRegistry was implemented in the study area in July 2018. Recruitment for the trial started in October 2018 and ended in June 2020, followed by an 8-month follow-up period to capture outcome data until February 2021. Trial results will be available for publication in June 2021. Conclusions: This trial allows the simultaneous assessment of multiple integrated DHIs for strengthening the health system and aims to provide evidence for its implementation. The study design and outcomes are geared toward informing the living review process of the guidelines for implementing DHIs