TY - JOUR
T1 - Efficacy of Mobile Health for Self-management of Cardiometabolic Risk Factors
T2 - A Theory-Guided Systematic Review
AU - Delva, Sabianca
AU - Waligora Mendez, Kyra J.
AU - Cajita, Mia
AU - Koirala, Binu
AU - Shan, Rongzi
AU - Wongvibulsin, Shannon
AU - Vilarino, Valerie
AU - Gilmore, Danielle R.
AU - Han, Hae Ra
N1 - Funding Information:
This research is supported by a National Institute of Nursing Research predoctoral training grant (F31NR017566). The content is solely the responsibility of the authors.
Publisher Copyright:
© Wolters Kluwer Health, Inc. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Background Although mobile health (mHealth) technologies are burgeoning in the research arena, there is a lack of mHealth interventions focused on improving self-management of individuals with cardiometabolic risk factors (CMRFs). Objective The purpose of this article was to critically and systematically review the efficacy of mHealth interventions for self-management of CMRF while evaluating quality, limitations, and issues with disparities using the technology acceptance model as a guiding framework. Methods PubMed, CINAHL, EMBASE, and Lilacs were searched to identify research articles published between January 2008 and November 2018. Articles were included if they were published in English, included adults, were conducted in the United States, and used mHealth to promote self-care or self-management of CMRFs. A total of 28 articles were included in this review. Results Studies incorporating mHealth have been linked to positive outcomes in self-management of diabetes, physical activity, diet, and weight loss. Most mHealth interventions included modalities such as text messaging, mobile applications, and wearable technologies. There was a lack of studies that are (1) in resource-poor settings, (2) theoretically driven, (3) community-engaged research, (4) measuring digital/health literacy, (5) measuring and evaluating engagement, (6) measuring outcomes related to disease self-management, and (7) focused on vulnerable populations, especially immigrants. Conclusion There is still a lack of mHealth interventions created specifically for immigrant populations, especially within the Latino community - the largest growing minority group in the United States. In an effort to meet this challenge, more culturally tailored mHealth interventions are needed.
AB - Background Although mobile health (mHealth) technologies are burgeoning in the research arena, there is a lack of mHealth interventions focused on improving self-management of individuals with cardiometabolic risk factors (CMRFs). Objective The purpose of this article was to critically and systematically review the efficacy of mHealth interventions for self-management of CMRF while evaluating quality, limitations, and issues with disparities using the technology acceptance model as a guiding framework. Methods PubMed, CINAHL, EMBASE, and Lilacs were searched to identify research articles published between January 2008 and November 2018. Articles were included if they were published in English, included adults, were conducted in the United States, and used mHealth to promote self-care or self-management of CMRFs. A total of 28 articles were included in this review. Results Studies incorporating mHealth have been linked to positive outcomes in self-management of diabetes, physical activity, diet, and weight loss. Most mHealth interventions included modalities such as text messaging, mobile applications, and wearable technologies. There was a lack of studies that are (1) in resource-poor settings, (2) theoretically driven, (3) community-engaged research, (4) measuring digital/health literacy, (5) measuring and evaluating engagement, (6) measuring outcomes related to disease self-management, and (7) focused on vulnerable populations, especially immigrants. Conclusion There is still a lack of mHealth interventions created specifically for immigrant populations, especially within the Latino community - the largest growing minority group in the United States. In an effort to meet this challenge, more culturally tailored mHealth interventions are needed.
KW - cardiometabolic risk factors
KW - cardiovascular disease
KW - metabolic syndrome
KW - mobile health (mHealth)
KW - telemedicine
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U2 - 10.1097/JCN.0000000000000659
DO - 10.1097/JCN.0000000000000659
M3 - Article
C2 - 32040072
AN - SCOPUS:85097210433
SN - 0889-4655
VL - 36
SP - 34
EP - 55
JO - Journal of Cardiovascular Nursing
JF - Journal of Cardiovascular Nursing
IS - 1
ER -