Effect of mobile health interventions in increasing utilization of Maternal and Child Health care services in developing countries: A scoping review

Venkataramanan, Ramachandran; Subramanian, Suresh; Alajlani, Mohannad; Arvanitis, Theodoros N.

doi:10.1177/20552076221143236

Cited by 10 publications

(7 citation statements)

References 49 publications

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“…Multiple studies have indicated that mobile health (mHealth) interventions can improve access to MCH services. A meta-analysis in developing countries indicated that mobile phone reminders were beneficial [15,19] The odds of being vaccinated were 2.39 times greater among mothers who had attended at least one ANC visit than among mothers who had not attended ANC follow-up. This finding is in agreement with other studies conducted in Ethiopia [16,19,20].…”

Section: Discussionmentioning

confidence: 99%

“…A meta-analysis in developing countries indicated that mobile phone reminders were beneficial [15,19] The odds of being vaccinated were 2.39 times greater among mothers who had attended at least one ANC visit than among mothers who had not attended ANC follow-up. This finding is in agreement with other studies conducted in Ethiopia [16,19,20]. This could be related to the counseling given at health facilities during ANC follow-up, which may bring about the desired behavioural change toward vaccines.…”

Section: Discussionmentioning

confidence: 99%

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Vaccination Coverage and Predictors of Vaccination Among Children Aged 12-23 Months in the Pastoralist Communities of Ethiopia: A Mixed Methods Design

Muluneh,

Abebe,

Ayele

et al. 2024

Preprint

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This study assessed vaccination coverage and associated factors among children aged 12-23 months in the pastoralist Ethiopia. It was conducted in three woredas of the Afar region using a community-based cross-sectional mixed methods design with quantitative and qualitative methods. A total of 413 mothers with children aged 12-23 months participated in the quantitative study via a simple random sampling technique. Logistic regression was used to identify factors associated with vaccination, and thematic analysis techniques were used for qualitative data. The percentage of patients who received full vaccination was 25%. Based on vaccination card observations, the dropout rate from Pentavalent-1 to Pentavalent-3 was found to be 2.9%. Logistic regression analysis revealed significant associations between mothers and caretakers with formal education, those who owned mobile phones, had antenatal care (ANC) visits and birthed at a health faciltiy with full vacination. The overall proportion of full immunization is lower than the target set by the World Health Organization (WHO). The findings suggest that programs and policy makers should prioritize improving access and enrolment of women and caretakers, promoting mobile phone ownership, and encouraging ANC visits, and promotion of health facility deliveries, as these are are associated with higher rates of immunization

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Vaccination Coverage and Predictors of Vaccination Among Children Aged 12-23 Months in the Pastoralist Communities of Ethiopia: A Mixed Methods Design

Muluneh,

Abebe,

Ayele

et al. 2024

Preprint

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“…Moreover, Kabongo et al (2021) described that m-health significantly associated with maternal and child healthcare (MCH) outcomes. Then, Venkataramanan et al (2022) found that m-health interventions can improve access to MCH. Although Liu and Wang (2021) as well as Ilozumba et al (2018) have discussed mobile applications in supporting maternal health, both of which did not discuss the user interface (UI) and user experience (UX) of mobile applications.…”

Section: Introductionmentioning

confidence: 99%

Designing Indonesian Maternal and Child Health Mobile Applications using User-Centered Design

Adidharma,

Shelim,

Anqita

et al. 2024

J. Sistem Inf. (J. Inf. Sys.)

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The high maternal mortality rate in Indonesia has led the Indonesian government to develop a mobile application for maternal and child health (MCH). However, this application received a bad rating on the applications distribution platform, and even some of its features could not function properly. Therefore, this study aims to design the MCH application. This study used the user-centered design (UCD) methodology with three iterations and applied Shneiderman's eight golden rules. Participants involved in the data collection and evaluation process were health workers, health experts, and pregnant women. The first iteration's evaluation will produce a low-fidelity prototype (wireframe), whereas the second and third iteration's evaluations will produce a refined high-fidelity clickable prototype. The resulting prototype has several major features, including notes entry, information and education, reminders, a blood supplement tablet tracker, and monitoring of fetal development. Evaluation in the first iteration utilized interviews to validate the wireframe, whereas the second and third iterations utilized usability testing and system usability scale (SUS). In the second iteration, the final SUS score was 71.2, or "good," while in the third iteration, the final SUS score was 85.4, or "excellent." This research is expected to contribute to two areas: serving as a reference for pregnancy application interface designs, especially for MCH applications, as well as the improvement and development of pregnancy health applications using the UCD methodology.

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“…Moreover, to date, they have underemphasized outcomes for mothers in the postpartum period. 27,29,30 Digital health tools, however, offer unique promise as a patient level strategy to complement care provided in the formal sector and close the gaps described previously across the pregnancy-postpartum continuum. With high rates of mobile phone penetration across lowincome countries, the prevalence of such interventions has increased in recent decades.…”

Section: Introductionmentioning

confidence: 99%

Empowering patients across the maternal-newborn care continuum: A cluster randomized controlled trial testing a digital health platform in Kenya

Vatsa,

Chang,

Akinyi

et al. 2024

Preprint

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BackgroundAccelerating improvements in maternal and newborn healthcare is a major public health priority in Kenya. While utilization of formal healthcare has increased, many pregnant and postpartum women do not receive the recommended number of maternal care visits. Even when they do, visits are often short with many providers not offering important elements of evaluation and counseling, leaving gaps in women’s knowledge and preparedness. Digital health tools have been proposed as a complement to care that is provided by maternity care facilities, with the potential to empower patients to receive the right care at the right place and time. However, there is limited evidence of the impact of digital health tools at scale on patients’ knowledge, preparedness, and the content of care they receive. We evaluated a digital health platform (PROMPTS) composed of informational messages, appointment reminders, and a two-way clinical helpdesk that has been implemented at scale in Kenya on six domains across the pregnancy-postpartum care continuum.Methods and FindingsWe conducted an unmasked, 1:1 parallel arm cluster randomized controlled trial in 40 health facilities (clusters) across eight counties in Kenya. 6,139 pregnant individuals were consented at baseline and followed through pregnancy and postpartum.Individuals recruited from treatment facilities were invited to enroll in the PROMPTS platform, with roughly 85% reporting take-up. Our outcomes were derived from phone surveys conducted with participants at 36-42 weeks of gestation and 7-8 weeks post-childbirth. Among eligible participants, 3,399/3,678 women completed antenatal follow-up, and 5,509/6,128 women completed postpartum follow-up, with response rates of 92% and 90%, respectively. Outcomes were organized into six domains: knowledge, preparedness, routine care seeking, danger sign care seeking, newborn care, and postpartum care content. We generated standardized summary indices to account for multiple hypothesis testing but also analyzed individual index components.Intention-to-treat analyses were conducted for all outcomes at the individual level, with standard errors clustered by facility. Participants recruited from treatment facilities had a 0.08 standard deviation (SD) (95% CI: 0.03, 0.12) higher knowledge index, a 0.08 SD (95% CI: 0.02, 0.13) higher preparedness index, a 0.10 SD (95% CI: 0.05, 0.16) higher routine care seeking index, a 0.09 SD (95% CI: 0.07, 0.12) higher newborn care index, and a 0.06 SD (95% CI: 0.01, 0.12) higher postpartum care content index than those recruited from control facilities. No significant effect on the danger sign care seeking index was found (95% CI: -0.01, 0.08).A limitation of our study was that outcomes were self-reported, and the study was not powered to detect effects on health outcomes.ConclusionsDigital health tools indicate promise in filling gaps in pregnant and postpartum women’s health care, amidst systems that fail to deliver a minimally adequate standard of care. Through providing patients with critical information and empowering them to seek recommended care, such tools can ensure that individuals are prepared for a safe childbirth and receive access to comprehensive, high quality postpartum care. Future work is needed to ascertain the impact of at-scale digital platforms like PROMPTS on health outcomes.Trial RegistrationClinicalTrials.gov ID:NCT05110521; AEA RCT Registry ID:R-0008449

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Effect of mobile health interventions in increasing utilization of Maternal and Child Health care services in developing countries: A scoping review

Cited by 10 publications

References 49 publications

Vaccination Coverage and Predictors of Vaccination Among Children Aged 12-23 Months in the Pastoralist Communities of Ethiopia: A Mixed Methods Design

Vaccination Coverage and Predictors of Vaccination Among Children Aged 12-23 Months in the Pastoralist Communities of Ethiopia: A Mixed Methods Design

Designing Indonesian Maternal and Child Health Mobile Applications using User-Centered Design

Empowering patients across the maternal-newborn care continuum: A cluster randomized controlled trial testing a digital health platform in Kenya

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