Literature DB >> 32896232

Critical appraisal of a mHealth-assisted community-based cardiovascular disease risk screening program in rural Kenya: an operational research study.

Michael Aw1, Benard Omondi Ochieng2, Daniel Attambo3, Danet Opot2, James Aw4, Stacy Francis4, Michael T Hawkes4,5,6,7,8.   

Abstract

Community health workers (CHWs) can participate in the cascade of hypertension and diabetes management in low and middle-income countries (LMICs). Their services may be enhanced with mobile health (mHealth) tools. In this operational research study, we describe the AFYACHAT mHealth-assisted cardiovascular health screening program in rural Kenya. In this study, A CHW screened a convenience sample of adults ≥ 40 years old in rural Kenya for cardiovascular disease (CVD) risk using the two-way AFYACHAT mHealth instrument. AFYACHAT analyzes a patient's age, sex, smoking, diabetes and systolic blood pressure and provides a four-tiered 10-year CVD risk score. User acceptability was assessed by an end-of-study interview with the CWH. Automated error logs were analyzed. Patient satisfaction was measured with a six-question satisfaction questionnaire. Screened participants with high CVD risk were followed-up via telephone to explore any actions taken following screening. In 24 months, one CHW screened 1650 participants using AFYACHAT. The 10-year risk of CVD was <10% for 1611 (98%) patients, 10 to <20% for 26 (1.6%), 20 to <30% in 12 (0.7%), and ≥30% for 1 (0.1%). The point prevalence of hypertension and diabetes was 27% and 1.9%, respectively. Seventy-five percent of participants with elevated CVD risk sought further medical care. There was high acceptability, a 15% miscode error rate, and high participant satisfaction with the screening program. Our operational research outlines how AFYACHAT mHealth tool can assist CHW perform rapid CVD screening; this provides a model framework for non-communicable disease screening in LMICs.

Entities:  

Keywords:  Cardiovascular diseases; non-communicable diseases; public Health; telemedicine

Year:  2020        PMID: 32896232      PMCID: PMC7580828          DOI: 10.1080/20477724.2020.1816286

Source DB:  PubMed          Journal:  Pathog Glob Health        ISSN: 2047-7724            Impact factor:   2.894


  38 in total

1.  Estimates of global and regional potential health gains from reducing multiple major risk factors.

Authors:  Majid Ezzati; Stephen Vander Hoorn; Anthony Rodgers; Alan D Lopez; Colin D Mathers; Christopher J L Murray
Journal:  Lancet       Date:  2003-07-26       Impact factor: 79.321

2.  Community health workers as partners in the management of non-communicable diseases.

Authors:  Héctor G Balcázar; Hendrik D de Heer
Journal:  Lancet Glob Health       Date:  2015-07-14       Impact factor: 26.763

3.  Healthy Heart, Healthy Family: a NHLBI/HRSA collaborative employing community health workers to improve heart health.

Authors:  Ritabelle Fernandes; Kathryn L Braun; Jovonni R Spinner; Cynthia Sturdevant; Sharonne J Ancheta; Sheryl R Yoshimura; Merlita Compton; Jo-Hsi Wang; Carolyn J Lee
Journal:  J Health Care Poor Underserved       Date:  2012-08

4.  World Health Organization (WHO) and International Society of Hypertension (ISH) risk prediction charts: assessment of cardiovascular risk for prevention and control of cardiovascular disease in low and middle-income countries.

Authors:  Shanthi Mendis; Lars H Lindholm; Giuseppe Mancia; Judith Whitworth; Michael Alderman; Stephen Lim; Tony Heagerty
Journal:  J Hypertens       Date:  2007-08       Impact factor: 4.844

5.  Calling on Europe to support operational research in low-income and middle-income countries.

Authors:  GianLuca Quaglio; Andy Ramsay; Anthony D Harries; Theodoros Karapiperis; Giovanni Putoto; Chris Dye; Ole F Olesen; Göran Tomson; Rony Zachariah
Journal:  Lancet Glob Health       Date:  2014-05-21       Impact factor: 26.763

6.  Urbanization, ethnicity and cardiovascular risk in a population in transition in Nakuru, Kenya: a population-based survey.

Authors:  Wanjiku Mathenge; Allen Foster; Hannah Kuper
Journal:  BMC Public Health       Date:  2010-09-22       Impact factor: 3.295

7.  A comparative assessment of non-laboratory-based versus commonly used laboratory-based cardiovascular disease risk scores in the NHANES III population.

Authors:  Ankur Pandya; Milton C Weinstein; Thomas A Gaziano
Journal:  PLoS One       Date:  2011-05-31       Impact factor: 3.240

Review 8.  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

Review 9.  A systematic review of randomized controlled trials of mHealth interventions against non-communicable diseases in developing countries.

Authors:  Victor Stephani; Daniel Opoku; Wilm Quentin
Journal:  BMC Public Health       Date:  2016-07-15       Impact factor: 3.295

10.  Implications of Cardiovascular Disease Risk Assessment Using the WHO/ISH Risk Prediction Charts in Rural India.

Authors:  Arvind Raghu; Devarsetty Praveen; David Peiris; Lionel Tarassenko; Gari Clifford
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

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  4 in total

Review 1.  Digital Solutions for Community and Primary Health Workers: Lessons From Implementations in Africa.

Authors:  Ayomide Owoyemi; Joanne I Osuchukwu; Clark Azubuike; Ronald Kelechi Ikpe; Blessing C Nwachukwu; Cassandra B Akinde; Grace W Biokoro; Abisoye B Ajose; Ezechukwu Ikenna Nwokoma; Nehemiah E Mfon; Temitope O Benson; Anthony Ehimare; Daniel Irowa-Omoregie; Seun Olaniran
Journal:  Front Digit Health       Date:  2022-06-03

Review 2.  The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia.

Authors:  Tsegahun Manyazewal; Yimtubezinash Woldeamanuel; Henry M Blumberg; Abebaw Fekadu; Vincent C Marconi
Journal:  NPJ Digit Med       Date:  2021-08-17

Review 3.  Smartphone as a Disease Screening Tool: A Systematic Review.

Authors:  Jeban Chandir Moses; Sasan Adibi; Nilmini Wickramasinghe; Lemai Nguyen; Maia Angelova; Sheikh Mohammed Shariful Islam
Journal:  Sensors (Basel)       Date:  2022-05-16       Impact factor: 3.847

4.  Use of technology to prevent, detect, manage and control hypertension in sub-Saharan Africa: a systematic review.

Authors:  Katy Stokes; Busola Oronti; Francesco P Cappuccio; Leandro Pecchia
Journal:  BMJ Open       Date:  2022-04-05       Impact factor: 2.692

  4 in total

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