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ZENODO
Article . 2009
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2009
License: CC BY
Data sources: Datacite
ZENODO
Article . 2009
License: CC BY
Data sources: Datacite
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Mobile Health Tracking Apps in Monitoring Chronic Disease Patients in South African Communities: An Exploratory Study

Authors: Dlamini, Nyasha; Ndlovu, Khumbuzani; Mhlongo, Siyanda; Khumalo, Nolwazi;

Mobile Health Tracking Apps in Monitoring Chronic Disease Patients in South African Communities: An Exploratory Study

Abstract

Chronic diseases such as diabetes and hypertension are prevalent in South African communities, requiring continuous monitoring to manage effectively. A mixed-methods approach was employed, including surveys and interviews with community members and healthcare providers. Findings suggest a significant improvement (p < 0.05) in patient adherence to medication schedules when using mobile apps compared to traditional methods. Mobile health tracking apps show promise for enhancing chronic disease management, though further research is needed to validate these findings. Further studies should be conducted with a larger sample size and longer follow-up periods to confirm initial results. Chronic Diseases, South Africa, Mobile Health Apps, Community Monitoring Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.

Related Organizations
Keywords

Mobility, Sub-Saharan, African, Integration, Qualitative, Telemedicine, Quantitative

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average