Literature DB >> 25002305

Evaluating the use of mobile phone technology to enhance cardiovascular disease screening by community health workers.

Sam Surka1, Sisira Edirippulige2, Krisela Steyn3, Thomas Gaziano4, Thandi Puoane5, Naomi Levitt6.   

Abstract

BACKGROUND: Primary prevention of cardiovascular disease (CVD),by identifying individuals at risk is a well-established, but costly strategy when based on measurements that depend on laboratory analyses. A non-laboratory, paper-based CVD risk assessment chart tool has previously been developed to make screening more affordable in developing countries. Task shifting to community health workers (CHWs) is being investigated to further scale CVD risk screening. This study aimed to develop a mobile phone CVD risk assessment application and to evaluate its impact on CHW training and the duration of screening for CVD in the community by CHWs.
METHODS: A feature phone application was developed using the open source online platform, CommCare(©). CHWs (n=24) were trained to use both paper-based and mobile phone CVD risk assessment tools. They were randomly allocated to using one of the risk tools to screen 10-20 community members and then crossed over to screen the same number, using the alternate risk tool. The impact on CHW training time, screening time and margin of error in calculating risk scores was recorded. A focus group discussion evaluated experiences of CHWs using the two tools.
RESULTS: The training time was 12.3h for the paper-based chart tool and 3h for the mobile phone application. 537 people were screened. The mean screening time was 36 min (SD=12.6) using the paper-base chart tool and 21 min (SD=8.71) using the mobile phone application, p=<0.0001. Incorrect calculations (4.3% of average systolic BP measurements, 10.4% of BMI and 3.8% of CVD risk score) were found when using the paper-based chart tool while all the mobile phone calculations were correct. Qualitative findings from the focus group discussion corresponded with the findings of the pilot study.
CONCLUSION: The reduction in CHW training time, CVD risk screening time, lack of errors in calculation of a CVD risk score and end user satisfaction when using a mobile phone application, has implications in terms of adoption and sustainability of this primary prevention strategy to identify people with high CVD risk who can be referred for appropriate diagnoses and treatment.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cardiovascular disease risk assessment; Community health workers; Mobile phones; Task-shifting; mHealth

Mesh:

Year:  2014        PMID: 25002305      PMCID: PMC4108525          DOI: 10.1016/j.ijmedinf.2014.06.008

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


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