A Mobile Phone-based Multimedia Application Could Improve Maternal Health in Rural Southwestern Uganda: Mixed Methods Study

Musiimenta, Angella; Tumuhimbise, Wilson; Mugyenyi, Godfrey R; Katusiime, Jane; Atukunda, Esther C; Pinkwart, Niels

doi:10.5210/ojphi.v12i1.10557

Cited by 15 publications

(17 citation statements)

References 27 publications

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“…Mobile health technology might be helpful in identifying the referred patients who do not present for treatment ( Islam et al, 2015 ), help in reducing the time spent at health facilities ( Tumuhimbise et al, 2020 ). In addition, mHealth technologies are acceptable and affordable alternative approaches for health service in settings where face to face approaches are difficult ( Musiimenta et al, 2020 ; Musiimenta et al, 2021 ) and monitoring TB medication adherence ( Musiimenta et al, 2019 ). The increased penetration of mobile phone technology and internet usage in Africa ( GSMA, 2017 ) and developing countries offers a strong scientific premise for the implementation of mHealth technologies for enhancing public private mix in TB care ( Uplekar et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

A review of mobile health interventions for public private mix in tuberculosis care

Tumuhimbise

Musiimenta

2021

Internet Interventions

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Background The World Health Organization (WHO) recommends the use of mobile health (mHealth) technologies as emerging opportunities to closing the gaps in Tuberculosis (TB) care through enhancing Public Private Mix (PPM). However, little is known about mHealth interventions that have been used for enhancing PPM in TB care, those that worked and those that did not. Objective This review summarizes the published evidence on the utilization and effectiveness of mHealth interventions for public private mix in TB care from literature. Methods Google scholar, PUBMED, IEEE Xplore and ScienceDirect databases were searched for peer reviewed literature from 1st January 2003 to 31st December 2020 for studies about the mHealth interventions for public private mix in TB care. This was guided by the scoping review methodology proposed by Arksey and O′ Malley. In order to assess the quality of the selected studies, mHealth evidence reporting and assessment (mERA) checklist was utilized. Studies that discussed the utilization of mHealth interventions for implementing PPM in TB care were included. Nine studies met the inclusion criteria and were analyzed for review. Results The review found out the application of mHealth in Public Private Mix in TB care through the following ways; 1) TB screening, 2) TB case notification 3) TB treatment adherence 4) data collection and management 5) patient referral and follow up, and 6) education. This resulted into high user experience, significant time reduction in data aggregation, increased case notification and referrals and proactive tracking and provision of follow up care hence reduced treatment and completion gaps. One study yielded suboptimal utilization due to the technical and operational challenges encountered by the healthcare workers. Conclusion Although this scoping review highlights the role of mHealth technologies in enhancing PPM in TB care, its utilization is still limited in African settings. No Africa-based study was identified by this review. Future studies should focus on assessing the utilization of mHealth for PPM in Africa.

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Section: Discussionmentioning

confidence: 99%

A review of mobile health interventions for public private mix in tuberculosis care

Tumuhimbise

Musiimenta

2021

Internet Interventions

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“…For instance, mHealth technologies (e.g. SMS texts and real-time medication adherence monitors in particular) have been shown to successfully promote the adoption of health behaviors including antenatal and postnatal service utilization., 12 , 13 as well as HIV/AIDS prevention 14 and medication adherence. 15 , 16 Importantly, over 75% of the population in Uganda accesses mobile phones, and there is telephone network reception across the country—including rural areas.…”

Section: Introductionmentioning

confidence: 99%

Challenges in accessing maternal and child health services during COVID-19 and the potential role of social networking technologies

et al. 2022

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Background The COVID-19 pandemic causes new challenges to women and their babies who still need to access postnatal care amidst the crisis. The novel application of social network technologies (SNTs) could potentially enhance access to healthcare during this difficult time. Objectives This study describes the challenges experienced in accessing maternal and child health services by women with limited or no education during this COVID-19 pandemic and discusses the potential of SNTs to support maternal and child health amidst this crisis. Methods We administered surveys to women who had recently given birth in a rural setting and interviewed a purposively selected subset to ascertain their experiences of accessing maternal and child health services during the COVID-19 pandemic. Our analysis involved descriptive analysis of quantitative data using STATA 13 to describe study participants’ characteristics, and content analysis of qualitative data to derive categories describing maternal health challenges. Results Among 50 women, the median age was 28 years (interquartile range 24–34), 42 (84%) completed upper primary education. Access to the health facility was constrained by transport challenges, fear of contracting COVID-19, and delays at the facility. Due to the COVID-19 crisis, 42 (84%) women missed facility visits, 46 (92%) experienced financial distress, 43 (86%) had food insecurity, and 44 (88%) felt stressed. SNTs can facilitate remote and timely access to health services and information, and enable virtual social connections and support. Conclusion SNTs have the potential to mitigate the challenges faced in accessing maternal and child health services amidst the ongoing COVID-19 pandemic.

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“…The states with higher percentage of women owning a mobile phone have also shown lower infant mortality rate in the present study and the results are statistically significant at 95% confidence level. The availability of mobile phone might have empowered the women to get access to acceptable and affordable alternative approaches for the better care of their child [13]. Participation in decision and owning a land or house were not found to be statistically significant factors.…”

Section: Resultsmentioning

confidence: 91%

Impact of Women Empowerment on Infant Mortality Rate – Spatial Lag and Error Regression Model

Gill

Devgun

Kaur

2020

EJMED

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Background: Despite significant progress in recent decade, the burden of infant mortality in India remains high. As women is the main caregiver to the infant, women empowerment may be the important determinant of infant mortality rate which has received little attention. Therefore, the current study was planned to study the impact of women empowerment on infant mortality and to find the best fit regression model to predict infant mortality rate in various states of India. Methods: The National Family Health Survey (NFHS) 2015-16 data was used and infant mortality rate in various states and union territories of India was mapped. Regression analysis was performed with infant mortality rate as the dependent variable. The exploratory variables (Percentages) used for women empowerment were the literacy among women, women who opted for institutional delivery, women owning a house and/or land (alone or jointly with others), women having a bank or saving account and women having mobile phone that they themselves used. Ordinary Least Square Regression and spatial lag and error regression models were applied. Infant mortality rates predicted by using the best fit model were mapped. Results: Institutional delivery, owning a bank account and availability of personal mobile phone showed statistically significant inverse relation with infant mortality rate. Out of three regression models, spatial lag regression model was found to be the best fit model to predict infant mortality rate. The northern and eastern states were predicted to have highest infant mortality rate. Conclusion: As northern and eastern states were predicted to have highest infant mortality rate, further studies at individual level may be planned to find out the factors in these regions.

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A Mobile Phone-based Multimedia Application Could Improve Maternal Health in Rural Southwestern Uganda: Mixed Methods Study

Cited by 15 publications

References 27 publications

A review of mobile health interventions for public private mix in tuberculosis care

A review of mobile health interventions for public private mix in tuberculosis care

Challenges in accessing maternal and child health services during COVID-19 and the potential role of social networking technologies

Impact of Women Empowerment on Infant Mortality Rate – Spatial Lag and Error Regression Model

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