BACKGROUND: An increasing burden of cardiovascular disease (CVD) in low-resource settings demands innovative public health approaches. OBJECTIVES: To design and test a novel mHealth tool for use by community health workers (CHWs) to identify individuals at high CVD risk who would benefit from education and/or pharmacologic interventions. METHODS: We designed and implemented a novel two-way mobile phone application, "AFYACHAT," to rapidly screen for CVD risk in rural Kenya. AFYACHAT collects and stores SMS text message data entered by a CHW on a subject's age, sex, smoking, diabetes, and systolic blood pressure, and returns as SMS text message the category of 10-year CVD risk: "GREEN" (<10% 10 year risk of cardiovascular event), "YELLOW" (10 to <20%), "orange"(20 to <30%), or "RED" (≥30%). CHWs were equipped and trained to use an automated blood pressure device and the mHealth tool. RESULTS: Five CHWs screened 2,865 subjects in remote rural communities in Kenya over a 22 month period (2015-17). The median age of subjects was 50 (IQR 43 to 60) and 1581 (55%) were female. Point prevalence of hypertension (systolic blood pressure>140mmHg), diabetes, and tobacco use were 23%, 3.2%, and 22%, respectively. Overall, the 10-year risk of CVD among patients was <10% in 2778 (97%) patients, 10 to <20% in 65 (2.3%), 20 to <30% in 12 (0.4%), and ≥30% in 10 (0.2%). CONCLUSION: We have developed a mHealth tool that can be used by CHWs to screen for CVD risk factors, demonstrating proof-of-concept in rural Kenya.
BACKGROUND: An increasing burden of cardiovascular disease (CVD) in low-resource settings demands innovative public health approaches. OBJECTIVES: To design and test a novel mHealth tool for use by community health workers (CHWs) to identify individuals at high CVD risk who would benefit from education and/or pharmacologic interventions. METHODS: We designed and implemented a novel two-way mobile phone application, "AFYACHAT," to rapidly screen for CVD risk in rural Kenya. AFYACHAT collects and stores SMS text message data entered by a CHW on a subject's age, sex, smoking, diabetes, and systolic blood pressure, and returns as SMS text message the category of 10-year CVD risk: "GREEN" (<10% 10 year risk of cardiovascular event), "YELLOW" (10 to <20%), "orange"(20 to <30%), or "RED" (≥30%). CHWs were equipped and trained to use an automated blood pressure device and the mHealth tool. RESULTS: Five CHWs screened 2,865 subjects in remote rural communities in Kenya over a 22 month period (2015-17). The median age of subjects was 50 (IQR 43 to 60) and 1581 (55%) were female. Point prevalence of hypertension (systolic blood pressure>140mmHg), diabetes, and tobacco use were 23%, 3.2%, and 22%, respectively. Overall, the 10-year risk of CVD among patients was <10% in 2778 (97%) patients, 10 to <20% in 65 (2.3%), 20 to <30% in 12 (0.4%), and ≥30% in 10 (0.2%). CONCLUSION: We have developed a mHealth tool that can be used by CHWs to screen for CVD risk factors, demonstrating proof-of-concept in rural Kenya.
Authors: Charles Muiruri; Preeti Manavalan; Shelley A Jazowski; Brandon A Knettel; Helene Vilme; Leah L Zullig Journal: Curr Hypertens Rep Date: 2019-08-26 Impact factor: 5.369
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
Authors: Michael Aw; Benard Omondi Ochieng; Daniel Attambo; Danet Opot; James Aw; Stacy Francis; Michael T Hawkes Journal: Pathog Glob Health Date: 2020-09-08 Impact factor: 2.894
Authors: Phillipe Lepère; Yélamikan Touré; Alexandra M Bitty-Anderson; Simon P Boni; Gildas Anago; Boris Tchounga; Pendadiago Touré; Albert Minga; Eugène Messou; Guillaume Kanga; Serge Koule; Armel Poda; Alexandra Calmy; Didier K Ekouevi; Patrick A Coffie Journal: JMIR Mhealth Uhealth Date: 2019-11-13 Impact factor: 4.773