Literature DB >> 23510972

Decreasing workload among community health workers using interactive, structured, rich-media guidelines on smartphones.

M Sriram Iyengar1, Jose F Florez-Arango.   

Abstract

BACKGROUND: Currently, in developing countries, there is considerable interest in using mobile phones as job-aids for community health workers (CHWs) to improve the care they provide. However, acceptance of new technologies can be inhibited if the workload imposed is perceived as excessive compared to existing methods.
OBJECTIVE: To compare perceived workload of CHWs using clinical care guidelines presented on mobile phones versus using conventional paper-based guidelines.
METHODS: Validated clinical practice guidelines were developed as Interactive Structured Rich-Medical guidelines (ISRMGs) on Windows Mobile 6.5 mobile phones. A prospective randomized controlled study was performed in Colombia in which 50 CHWs used the ISRMGs, and paper-based materials with the same information, in a cross-over design to diagnose and treat 15 matched pairs of medical cases presented on Human Patient simulators. The NASA Task Load Index, a validated measure of perceived workload, was administered and results compared by means of a mixed model analysis.
RESULTS: When using the ISRMGs on mobile phones the health workers reported statistically significant decreases in mental demand, frustration, and overall workload as compared to using paper-based job-aids.
CONCLUSIONS: Use of ISRMGs on mobile phones by community health workers in developing countries has the potential to decrease their perceived workload, fatigue, and enhance their ability to provide better care for more patients.

Entities:  

Mesh:

Year:  2013        PMID: 23510972     DOI: 10.3233/THC-130713

Source DB:  PubMed          Journal:  Technol Health Care        ISSN: 0928-7329            Impact factor:   1.285


  4 in total

Review 1.  Assessing the impact of mHealth interventions in low- and middle-income countries--what has been shown to work?

Authors:  Charles S Hall; Edward Fottrell; Sophia Wilkinson; Peter Byass
Journal:  Glob Health Action       Date:  2014-10-27       Impact factor: 2.640

2.  Mobile Virtual Learning Object for the Assessment of Acute Pain as a Learning Tool to Assess Acute Pain in Nursing: An Analysis of the Mental Workload.

Authors:  Ana Graziela Alvarez; Grace Sasso; Sriram Iyengar
Journal:  JMIR Med Educ       Date:  2015-11-06

3.  Scoping review assessing the evidence used to support the adoption of mobile health (mHealth) technologies for the education and training of community health workers (CHWs) in low-income and middle-income countries.

Authors:  Niall Winters; Laurenz Langer; Anne Geniets
Journal:  BMJ Open       Date:  2018-07-30       Impact factor: 2.692

4.  Perspectives and experiences of community health workers in Brazilian primary care centers using m-health tools in home visits with community members.

Authors:  Julia Schoen; John William Mallett; Rebecca Grossman-Kahn; Alexandra Brentani; Elizabeth Kaselitz; Michele Heisler
Journal:  Hum Resour Health       Date:  2017-09-29
  4 in total

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