Developing eXtensible mHealth Solutions for Low Resource Settings

Connor, Yvonne O’; Sullivan, Timothy O’; Gallagher, Joe; Heavin, Ciara; Donoghue, John O’

doi:10.1007/978-3-319-13817-6_35

Cited by 7 publications

(6 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SL electronic iCCM App is an electronic iCCM algorithm developed by Imperial College London in collaboration with several partners and within the framework of the Supporting Lowcost Interventions For disEase control (Supporting LIFE) program. The medical content is based on IMCI; however, the exact algorithm content has not been published [27,28]. A clinical effectiveness study is currently underway through a cluster-randomized trial in Malawi, including qualitative assessments [26,28].…”

Section: Iccm-based Tools Sl Electronic Iccm Appmentioning

confidence: 99%

Electronic clinical decision algorithms for the integrated primary care management of febrile children in low-resource settings: review of existing tools

Keitel

D’Acremont

2018

Clinical Microbiology and Infection

View full text Add to dashboard Cite

show abstract

Section: Iccm-based Tools Sl Electronic Iccm Appmentioning

confidence: 99%

Electronic clinical decision algorithms for the integrated primary care management of febrile children in low-resource settings: review of existing tools

Keitel

D’Acremont

2018

Clinical Microbiology and Infection

View full text Add to dashboard Cite

show abstract

“…Furthermore, while most women who are pregnant or postpartum rely on user evaluations to select a mobile phone application [ 48 ], advocating for open-source software could not only improve the quality of applications but ensure that those delivering care can recommend evidence-based mobile phone applications to their clients and patients. Open source eHealth tools have been begun to gain traction in some resource-poor countries [ 57 ]. For example, Papadimitriou and colleagues [ 58 ] have demonstrated the success of using open source software to screen for mental health concerns in Kashmir.…”

Section: Discussionmentioning

confidence: 99%

mHealth and Perinatal Depression in Low-and Middle-Income Countries: A Scoping Review of the Literature

Dosani

Arora

Mazmudar

2020

IJERPH

View full text Add to dashboard Cite

Women in low- and middle-income countries have high rates of perinatal depression. As smartphones become increasingly accessible around the world, there is an opportunity to explore innovative mHealth tools for the prevention, screening, and management of perinatal depression. We completed a scoping review of the literature pertaining to the use of mobile phone technologies for perinatal depression in low-and middle-income countries. PubMed CINHAL, and Google Scholar databases were searched, generating 423 results. 12 articles met our inclusion criteria. Two of the 12 articles reviewed mobile phone applications. The remaining 9 articles were study protocols or descriptive/intervention studies. Our results reveal that minimal literature is currently available on the use of mobile health for perinatal depression in low- and middle-income countries. We found four articles that present the results of an intervention that were delivered through mobile phones for the treatment of perinatal depressive symptoms and an additional qualitative study describing the perceptions of mothers receiving cognitive behavioral therapy via telephones. These studies demonstrated that depressive symptoms improved after the interventions. There is potential to improve the quality of mHealth interventions, specifically mobile phone applications for perinatal depressive symptoms and depression, through meaningful collaborative work between healthcare professionals and application developers.

show abstract

“…Nevertheless, to enable such intervention, privacy-sensitive data sharing over wireless communications has always been a foremost challenge for mobile health (W. Woensel, Haider, Roy, Ahmad, & Abidi, 2014). In recent studies, integration of reasoning process for decision support on mobile devices has made a start for a new type of rule-based interventions in mobile health (Hommersom, lucas, Velikova, & Dal, 2013;o'Connor, o'Sullivan, Gallagher, Heavin, & o'donoghue, 2014;W. Woensel et al, 2014).…”

Section: An Agenda For Automated Mobile Healthmentioning

confidence: 99%

Analysis and design of mobile health interventions towards informed shared decision making: an activity theory-driven perspective

Nguyen

Poo²

2016

Journal of Decision Systems

View full text Add to dashboard Cite

With the rapid advancement of mobile technologies, mobile health is going through a massive digital revolution that is reshaping the current way of health decision making. This study takes initiatives to investigate the manifestation of shared decision making model in mobile health for better decision quality and outcome. Hence, we propose an Activity Theory-driven framework for analysing mobile health management to achieve informed health choices. It establishes strong theoretical foundations and comprehensive requirements for designing mobile health interventions in the direction of supportive and collaborative decision making. The study contributes to the cumulative theoretical development of mobile health and shared decision making. It also provides an agenda for automated mobile health and a number of implications for academic bodies, healthcare practitioners, and developers of mobile health.

show abstract

Developing eXtensible mHealth Solutions for Low Resource Settings

Cited by 7 publications

References 27 publications

Electronic clinical decision algorithms for the integrated primary care management of febrile children in low-resource settings: review of existing tools

Electronic clinical decision algorithms for the integrated primary care management of febrile children in low-resource settings: review of existing tools

mHealth and Perinatal Depression in Low-and Middle-Income Countries: A Scoping Review of the Literature

Analysis and design of mobile health interventions towards informed shared decision making: an activity theory-driven perspective

Contact Info

Product

Resources

About