Background: The proportion of people in the United States who are members of at least two ethnic groups is projected to increase to 10% by the year 2050. This makes addressing health disparities and health inequities in minority populations increasingly more difficult. Minority populations, including those who classify themselves as African American and Hispanic, are using mobile phones to access health information via the internet more frequently than those who classify themselves as white, providing unique opportunities for those in public health and health education to reach these traditionally underserved populations using mobile health (mHealth) interventions.
Objective: The objective of this review was to assess studies conducted in the United States that have used mHealth tools and strategies to develop and implement interventions in underserved populations. This review also examines the ways in which mHealth strategies are being employed in public health interventions to these priority population groups, as mobile phone capabilities include text messaging, mobile apps, internet access, emails, video streaming, social media, instant messaging, and more.
Methods: A systematic literature review was conducted using key search phrases, the matrix method, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart diagram to identify key studies conducted between the years of 2009-2016 in the United States. These studies were reviewed for their use of mHealth interventions in historically underserved and minority populations.
Results: A total of 16,270 articles were initially identified using key search phrases in three databases. Titles were reviewed and articles not meeting criteria were excluded, leaving 156 articles for further review. After additional review for relevance and inclusion criteria, 16 articles were qualified and analyzed.
Conclusions: mHealth is a promising area of development for public health and health education. While successful research has been done using text messaging (short message service, SMS) and other mHealth strategies, there is a need for more research using mobile phones and tablet applications. This literature review demonstrates mHealth technology has the ability to increase prevention and health education in health disparate communities and concludes that more specified research is needed.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028762 | PMC |
http://dx.doi.org/10.2196/mhealth.8383 | DOI Listing |
MSMR
December 2024
Epidemiology and Analysis Branch, Armed Forces Health Surveillance Division, Defense Health Agency, U.S. Department of Defense, Silver Spring, MD.
Early evidence suggests that COVID-19 is linked to kidney-related events in older and hospitalized patients. This link has not, however, been explored among a younger, healthy population such as U.S.
View Article and Find Full Text PDFMSMR
December 2024
Defense Centers for Public Health-Aberdeen, Armed Forces Health Surveillance Division, Defense Health Agency, U.S. Department of Defense, Aberdeen, MD.
This report presents the rates of maternal syphilis among pregnant women and congenital syphilis among newborns in the Military Health System (MHS) beneficiary population from 2012 to 2022. Medical encounter data from military hospitals and clinics as well as civilian health care facilities were obtained from the Defense Medical Surveillance System (DMSS) to determine pregnancies, live births, and confirmed diagnoses of maternal and congenital syphilis. The rate of maternal syphilis in female MHS beneficiaries increased by 233% between 2012 (n=123, 66.
View Article and Find Full Text PDFMSMR
December 2024
Defense Health Agency, U.S. Department of Defense.
Mental health disorders have historically accounted for significant morbidity, health care provision, disability, and attrition from military service. From 2019 through 2023, a total of 541,672 active component service members of the U.S.
View Article and Find Full Text PDFTularemia is a rare nationally notifiable zoonosis, caused by the tier-1 select agent Francisella tularensis, that has been reported from all U.S. states except Hawaii.
View Article and Find Full Text PDFBrief Funct Genomics
December 2024
Department of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa FL 33612, United States.
Objective: The primary objective of this study is to investigate various applications of artificial intelligence (AI) and statistical methodologies for analyzing and managing peritoneal metastases (PM) caused by gastrointestinal cancers.
Methods: Relevant keywords and search criteria were comprehensively researched on PubMed and Google Scholar to identify articles and reviews related to the topic. The AI approaches considered were conventional machine learning (ML) and deep learning (DL) models, and the relevant statistical approaches included biostatistics and logistic models.
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