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Feasibility, acceptability, and appropriateness of a mobile health stroke intervention among Ghanaian health workers

mHealth interventions can improve care delivery in settings with limited resources. The Phone-based Interventions under Nurse Guidance after Stroke (PINGS) is a nurse-led, mHealth-centered approach to blood pressure (BP) control among recent stroke survivors with hypertension in Ghana. It has 4 key...

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Bibliographic Details
Published in:Journal of the neurological sciences 2022-08, Vol.439, p.120304-120304, Article 120304
Main Authors: Amuasi, JohnH, Agbogbatey, Melvin K., Sarfo, Fred S., Beyuo, Alexis, Duah, Kwaku, Agasiya, Patrick, Arthur, Agnes, Appiah, Lambert, Nguah, Samuel B., Bockarie, Ansumana, Ayisi-Boateng, Nana K., Boateng, Kwadwo Gyebi Agyenim, Adusei-Mensah, Nathaniel, Akpalu, Albert, Ovbiagele, Bruce
Format: Article
Language:English
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Summary:mHealth interventions can improve care delivery in settings with limited resources. The Phone-based Interventions under Nurse Guidance after Stroke (PINGS) is a nurse-led, mHealth-centered approach to blood pressure (BP) control among recent stroke survivors with hypertension in Ghana. It has 4 key components: (1) home blood pressure monitoring, (2) nurse-coordinated mhealth consults, (3) phone alerts as medication reminders, and (4) patient motivational messages delivered as interactive voice recordings. To assess the feasibility, acceptability, and appropriateness for scale up of the PINGS intervention in Ghana, from the perspective of health workers. Between July and August 2021, we deployed an online questionnaire describing the components of PINGS to a cross-section of health workers in Ghana. The questionnaire used an adaptation of psychometrically validated Likert scale measures to elicit agreement or disagreement with attributes of the intervention. The questionnaire was distributed online to approximately 4000 healthcare workers via email and social media platforms. A summary of descriptive statistics was obtained; summed composite scores were then calculated, dichotomized, and binary logistic regression performed using R programming software. Of 653 health workers who completed the survey, 57.2% were male; 73.2% clinicians; median age was 33 years (IQR 29, 37). Respondents' primary workplaces were public (64.4%), quasi-government (9.4%), and private, including mission-based (26.2%) facilities. PINGS was deemed feasible, acceptable, and appropriate by 93.9%, 94.8%, and 95.1% of respondents respectively. Clinical staff had higher odds of finding PINGS feasible (OR 4.10; C.I. 2.15, 8.0; p 
ISSN:0022-510X
1878-5883
DOI:10.1016/j.jns.2022.120304