Know Your Numbers: Creation and implementation of a novel community health mobile application (app) by student pharmacists

Vu, Michelle; Nguyen, Vi; Vishwanath, Soumya; Wolfe, Courtney; Patel, Sweta

doi:10.1016/j.japh.2017.11.003

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…The domains expanded upon those in the MARS criteria to include: language, literacy, cultural sensitivity, data entry, data exportability, multimedia, ADA accessibility, cost, platform, and message or reminder function. As identified by prior studies, multimedia availability, such as videos, helped increase mobile app engagement, particularly for individuals with low literacy levels [ 16 , 17 , 19 , 20 , 30 , 31 ]. Messages or a reminder function helped app users stay motivated in their plan, manage medications, and organize personal health information [ 29 , 32 - 36 ].…”

Section: Discussionmentioning

confidence: 99%

“…This presents an area of opportunity for software developers and health care providers to reduce health inequities. However, the vast majority of mHealth apps do not cater to the needs of lower-income populations, as they have been shown to be difficult to navigate for individuals who may have limited health, digital, or written literacy [11,[16][17][18][19][20]. Additionally, there is no universally accepted framework to assess the functionality and usability of mHealth apps, which may further disproportionately impact diverse, low-income populations [6,12].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of mHealth Apps for Diverse, Low-Income Patient Populations: Framework Development and Application Study

Sharma¹,

Barnett²,

Maypole³

et al. 2022

JMIR Form Res

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Background The use of mobile technology or smartphones has grown exponentially in the United States, allowing more individuals than ever internet access. This access has been especially critical to households earning less than US $30,000, the majority of whom indicate that smartphones are their main source of internet access. The increasing ubiquity of smartphones and virtual care promises to offset some of the health disparities that cut through the United States. However, disparities cannot be addressed if the medical information offered though smartphones is not accessible or reliable. Objective This study seeks to create a framework to review the strengths and weaknesses of mobile Health (mHealth) apps for diverse, low-income populations. Methods Focusing on smoking cessation, diabetes management, and medication adherence as models of disease management, we describe the process for selecting, evaluating, and obtaining patient feedback on mHealth apps. Results The top 2 scoring apps in each category were QuitNow! and Smoke Free-Quit Smoking Now for smoking cessation, Glucosio and MyNetDiary for diabetes management, and Medisafe and MyMeds for medication adherence. Conclusions We believe that this framework will prove useful for future mHealth app development, and clinicians and patient advisory groups in connecting culturally, educationally, and socioeconomically appropriate mHealth apps with low-income, diverse communities and thus work to bridge health disparities.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of mHealth Apps for Diverse, Low-Income Patient Populations: Framework Development and Application Study

Sharma¹,

Barnett²,

Maypole³

et al. 2022

JMIR Form Res

View full text Add to dashboard Cite

show abstract

Applications of Mobile Health Technologies to Address Cardiometabolic Health Disparities in the United States: A Systematic Review

Cora-Cruz,

Wilson,

Vargas

et al. 2023

Ethnicity &Amp; Disease

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Introduction Black and Hispanic adults are disproportionately burdened by cardiometabolic disorders. The aim of this systematic review was to examine the effectiveness of mobile health technologies to promote disease prevention and self-management among US adults in diverse communities. Methods Potential studies were identified using a comprehensive search of the PubMed and EMBASE databases for recent studies published from December 2018 through 2021. Keywords and search strategies were established to focus on health disparity populations and the application of mobile health technology for cardiovascular disease risk reduction. Titles and abstracts were assessed and, if a study was eligible, 2 independent reviewers completed a full-length review with extraction in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results A total of 13 studies met our inclusion criteria. Study sample sizes ranged from 8 to 533 baseline participants. Studies were conducted in diverse communities (eg, North Carolina and California). Most studies used mobile applications (n=11) and a majority used accelerometers or similar technologies (eg, smartwatches) to assess changes in dietary behavior, blood pressure control, and physical activity. Overall, studies reported positive associations between mobile technology use and risk factor reduction actions and behaviors. Long-term adherence varied across studies. Those that prioritized culturally tailored approaches reported more significant impacts than those that did not. Conclusions Evidence suggests that mobile technology may be useful in promoting disease self-management and risk reduction among populations at higher risk of cardiometabolic diseases. The use of mobile health technologies, particularly when tailored to target populations, may be a practical approach to advancing population health equity.

show abstract

Know Your Numbers: Creation and implementation of a novel community health mobile application (app) by student pharmacists

Cited by 2 publications

References 19 publications

Evaluation of mHealth Apps for Diverse, Low-Income Patient Populations: Framework Development and Application Study

Evaluation of mHealth Apps for Diverse, Low-Income Patient Populations: Framework Development and Application Study

Applications of Mobile Health Technologies to Address Cardiometabolic Health Disparities in the United States: A Systematic Review

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