Mobile Health Crowdsensing (MHCS) Intervention on Chronic Disease Awareness: Protocol for a Systematic Review

Author:

Tokosi Temitope OluwaseyiORCID,Twum-Darko MichaelORCID

Abstract

Background Mobile health crowdsensing (MHCS) involves the use of mobile communication technologies to promote health by supporting health care practices (eg, health data collection, delivery of health care information, or patient observation and provision of care). MHCS technologies (eg, smartphones) have sensory capabilities, such as GPS, voice, light, and camera, to collect, analyze, and share user-centered data (explicit and implicit). The current literature indicates no scientific study related to MHCS interventions for chronic diseases. The proposed systematic review will examine the impact of MHCS interventions on chronic disease awareness. Objective The objectives of this study are to identify and describe various MHCS intervention strategies applied to chronic disease awareness. Methods Literature from various databases, such as MEDLINE, Embase, PsycINFO, CINAHL, and Cochrane Central Register of Controlled Trials, will be examined. Trial registers, reports, grey literature, and unpublished academic theses will also be included. All mobile technologies, such as cell phones, personal digital assistants, and tablets that have short message service, multimedia message service, video, and audio capabilities, will be included. MHCS will be the primary intervention strategy. The search strategy will include keywords such as mHealth, crowdsensing, and awareness among other medical subject heading terms. Articles published from January 1, 1945, to December 31, 2019, will be eligible for inclusion. The authors will independently screen and select studies, extract data, and assess the risk of bias, with discrepancies resolved by an independent party not involved in the study. The authors will assess statistical heterogeneity by examining the types of participants, interventions, study designs, and outcomes in each study, and pool studies judged to be statistically homogeneous. In the assessment of heterogeneity, a sensitivity analysis will be considered to explore statistical heterogeneity. Statistical heterogeneity will be investigated using the chi-square test of homogeneity on Cochrane Q test, and quantified using the I2 statistic. Results The preliminary search query found 1 paper. Further literature search commenced in mid-March 2021 and is to be concluded in April 2021. The proposed systematic review protocol has been registered in PROSPERO (The International Prospective Register of Systematic Reviews; no. CRD42020161435). Furthermore, the use of search data extraction and capturing in Review Manager version 5.3 (Cochrane) commenced in January 2021 and ended in February 2021. Further literature search will begin in mid-March 2021 and will be concluded in April 2021. The final stages will include analyses and writing, which are anticipated to start and be completed in May 2021. Conclusions The knowledge derived from this study will inform health care stakeholders—including researchers, policy makers, investors, health professionals, technologists, and engineers—of the impact of MHCS interventions on chronic disease awareness. International Registered Report Identifier (IRRID) PRR1-10.2196/24589

Publisher

JMIR Publications Inc.

Subject

General Medicine

Reference35 articles.

1. Applying a framework for assessing the health system challenges to scaling up mHealth in South Africa

2. BandaCMA Crowdsensing Method for Water Resource Monitoring in Smart Communities [master thesis]. Nelson Mandela University20192018-11-12http://vital.seals.ac.za:8080/vital/access/manager/Repository/vital:36658?site_name=GlobalView

3. A Classification Framework of Mobile Health CrowdSensing Research

4. Opportunities in mobile crowd sensing

5. Mobile Crowd Sensing Services for Tinnitus Assessment, Therapy, and Research

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1. A Study on Mobile Crowd Sensing Systems for Healthcare Scenarios;IEEE Access;2023

2. A Survey of Crowdsensing and Privacy Protection in Digital City;IEEE Transactions on Computational Social Systems;2022

3. A Complementary Sensing Platform for a holistic approach to Allergic Rhinitis monitoring;2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS);2021-07

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