mHealth Technology Use and Implications in Historically Underserved and Minority Populations in the United States: Systematic Literature Review

Charkarra Anderson-Lewis, Gabrielle Darville, Rebeccah Eve Mercado, Savannah Howell, Samantha Di Maggio, Charkarra Anderson-Lewis, Gabrielle Darville, Rebeccah Eve Mercado, Savannah Howell, Samantha Di Maggio

Abstract

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.

Keywords: digital health; ethnic group; health disparity; mHealth; minority; mobile health; smartphone; text messaging; underserved population.

Conflict of interest statement

Conflicts of Interest: None declared.

©Charkarra Anderson-Lewis, Gabrielle Darville, Rebeccah Eve Mercado, Savannah Howell, Samantha Di Maggio. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 18.06.2018.

Figures

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Figure 1
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) literature search results.

References

    1. CTIA-The Wireless Association . Washington, DC: 2013. [2018-05-02]. CTIA Semi-Annual Wireless Industry Survey .
    1. International Telecommunication Union . Geneva, Switzerland: ITU; 2011. [2018-05-02]. Measuring the information society .
    1. International Telecommunication Union 2012. [2018-04-22]. Key 2000-2011 country data: Mobile cellular subscriptions .
    1. Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010 Mar;32:56–69. doi: 10.1093/epirev/mxq004.
    1. van Velthoven MH, Car J, Zhang Y, Marušić A. mHealth series: new ideas for mHealth data collection implementation in low- and middle-income countries. J Glob Health. 2013;3(2):020101.
    1. Cormick G, Kim NA, Rodgers A, Gibbons L, Buekens PM, Belizán JM, Althabe F. Interest of pregnant women in the use of SMS (short message service) text messages for the improvement of perinatal and postnatal care. Reprod Health. 2012 Aug 06;9:9. doi: 10.1186/1742-4755-9-9.
    1. Pew Research Center 2017. [2018-04-22]. Mobile Fact Sheet
    1. Lopez L, Green AR, Tan-McGrory A, King R, Bentacourt JR. Bridging the digital divide in health care: the role of health information technology in addressing racial and ethnic disparities. Jt Comm J Qual Patient Saf. 2011;37(10):437–45.
    1. Bau I. Connected for health: the potential of health information and communications technologies to reduce health care disparities. Nat Civic Rev. 2011 Oct 24;100(3):15–18. doi: 10.1002/ncr.20064.
    1. Institute of Medicine 2010. [2018-04-22]. Digital Infrastructure for the Learning Health System: The Foundation for Continuous Improvement in Health and Health Care: Workshop Series Summary .
    1. Yancey A, Robinson RG, Ross RK, Washington R, Goodell HR, Goodwin NJ, Benjamin ER, Langie RG, Galloway JM, Carroll LN, Kong BW, Leggett CJ, Williams RA, Wong MJ, American Heart Association Advocacy Writing Group Discovering the full spectrum of cardiovascular disease: Minority Health Summit 2003: report of the Advocacy Writing Group. Circulation. 2005 Mar 15;111(10):e140–9. doi: 10.1161/01.CIR.0000157744.30181.FF.
    1. Bernhardt JM, Chaney JD, Chaney BH, Hall AK. New media for health education: a revolution in progress. Health Educ Behav. 2013 Apr;40(2):129–32. doi: 10.1177/1090198113483140.
    1. Smith A. Pew Internet. [2015-01-30]. Technology Trends Among People of Color
    1. Smith A. Pew Internet. [2015-01-30]. Americans and text messaging 31% of text message users prefer texting to voice calls, and young adults stand out in their use of text messaging .
    1. Hall BS. Readwrite. 2013. [2018-04-22]. Smartphones have bridged the Digital Divide
    1. Fox S, Duggan M. Pew Internet. [2015-01-30]. Health Online 2013
    1. Gazmararian JA, Elon L, Yang B, Graham M, Parker R. Text4baby program: an opportunity to reach underserved pregnant and postpartum women? Matern Child Health J. 2014 Jan;18(1):223–32. doi: 10.1007/s10995-013-1258-1.
    1. Katz KS, Rodan M, Milligan R, Tan S, Courtney L, Gantz M, Blake SM, McClain L, Davis M, Kiely M, Subramanian S. Efficacy of a randomized cell phone-based counseling intervention in postponing subsequent pregnancy among teen mothers. Matern Child Health J. 2011 Dec;15 Suppl 1:S42–53. doi: 10.1007/s10995-011-0860-3.
    1. Sutter JD. CNN. 2009. [2018-04-22]. The Top 10 tech trends of 2009
    1. Fortune T, Wright E, Juzang I, Bull S. Recruitment, enrollment and retention of young black men for HIV prevention research: experiences from The 411 for Safe Text project. Contemp Clin Trials. 2010 Mar;31(2):151–6. doi: 10.1016/j.cct.2009.12.004.
    1. Stockwell MS, Kharbanda EO, Martinez RA, Vargas CY, Vawdrey DK, Camargo S. Effect of a text messaging intervention on influenza vaccination in an urban, low-income pediatric and adolescent population: a randomized controlled trial. J Am Med Assoc. 2012 Apr 25;307(16):1702–8. doi: 10.1001/jama.2012.502.
    1. Jones R, Lacroix LJ. Streaming weekly soap opera video episodes to smartphones in a randomized controlled trial to reduce HIV risk in young urban African American/black women. AIDS Behav. 2012 Jul;16(5):1341–58. doi: 10.1007/s10461-012-0170-9.
    1. Evans WD, Wallace JL, Snider J. Pilot evaluation of the text4baby mobile health program. BMC Public Health. 2012 Nov;12:1031. doi: 10.1186/1471-2458-12-1031.
    1. Joseph RP, Keller C, Adams MA, Ainsworth BE. Print versus a culturally-relevant Facebook and text message delivered intervention to promote physical activity in African American women: a randomized pilot trial. BMC Womens Health. 2015 Mar 27;15:30. doi: 10.1186/s12905-015-0186-1.
    1. DiClemente RJ, Wingood GM, Sales JM, Brown JL, Rose ES, Davis TL, Lang DL, Caliendo A, Hardin JW. Efficacy of a telephone-delivered sexually transmitted infection/human immunodeficiency virus prevention maintenance intervention for adolescents: a randomized clinical trial. J Am Med Assoc Pediatr. 2014 Oct;168(10):938–46. doi: 10.1001/jamapediatrics.2014.1436.
    1. Nundy S, Mishra A, Hogan P, Lee SM, Solomon MC, Peek ME. How do mobile phone diabetes programs drive behavior change? Evidence from a mixed methods observational cohort study. Diabetes Educ. 2014 Oct;40(6):806–19. doi: 10.1177/0145721714551992.
    1. Khanna R, Stoddard PJ, Gonzales EN, Villagran-Flores M, Thomson J, Bayard P, Palos Lucio AG, Schillinger D, Bertozzi S, Gonzales R. An automated telephone nutrition support system for Spanish-speaking patients with diabetes. J Diabetes Sci Technol. 2014 Nov;8(6):1115–20. doi: 10.1177/1932296814550186.
    1. Devine S, Bull S, Dreisbach S, Shlay J. Enhancing a teen pregnancy prevention program with text messaging: engaging minority youth to develop TOP® Plus Text. J Adolesc Health. 2014 Mar;54(3 Suppl):S78–83. doi: 10.1016/j.jadohealth.2013.12.005.
    1. Steinberg DM, Levine EL, Lane I, Askew S, Foley PB, Puleo E, Bennett GG. Adherence to self-monitoring via interactive voice response technology in an eHealth intervention targeting weight gain prevention among black women: randomized controlled trial. J Med Internet Res. 2014 Apr 29;16(4):e114. doi: 10.2196/jmir.2996.
    1. Lee HY, Koopmeiners JS, Rhee TG, Raveis VH, Ahluwalia JS. Mobile phone text messaging intervention for cervical cancer screening: changes in knowledge and behavior pre-post intervention. J Med Internet Res. 2014 Aug 27;16(8):e196. doi: 10.2196/jmir.3576.
    1. Collins TC, Dong F, Ablah E, Parra-Medina D, Cupertino P, Rogers N, Ahlers-Schmidt CR. Text messaging to motivate exercise among Latino adults at risk for vascular disease: a pilot study, 2013. Prev Chronic Dis. 2014 Oct 30;11:E192. doi: 10.5888/pcd11.140219.
    1. Anderson KO, Palos GR, Mendoza TR, Cleeland CS, Liao KP, Fisch MJ, Garcia-Gonzalez A, Rieber AG, Nazario LA, Valero V, Hahn KM, Person CL, Payne R. Automated pain intervention for underserved minority women with breast cancer. Cancer. 2015 Jun 01;121(11):1882–90. doi: 10.1002/cncr.29204. doi: 10.1002/cncr.29204.
    1. Stockwell MS, Reed C, Vargas CY, Camargo S, Garretson AF, Alba LR, LaRussa P, Finelli L, Larson EL, Saiman L. MoSAIC: Mobile surveillance for acute respiratory infections and influenza-like illness in the community. Am J Epidemiol. 2014 Dec 15;180(12):1196–1201. doi: 10.1093/aje/kwu303.
    1. Kumar S, Nilsen WJ, Abernethy A, Atienza A, Patrick K, Pavel M, Riley WT, Shar A, Spring B, Spruijt-Metz D, Hedeker D, Honavar V, Kravitz R, Lefebvre RC, Mohr DC, Murphy SA, Quinn C, Shusterman V, Swendeman D. Mobile health technology evaluation: the mHealth evidence workshop. Am J Prev Med. 2013 Aug;45(2):228–36. doi: 10.1016/j.amepre.2013.03.017.
    1. Niederdeppe J, Kuang X, Crock B, Skelton A. Media campaigns to promote smoking cessation among socioeconomically disadvantaged populations: what do we know, what do we need to learn, and what should we do now? Soc Sci Med. 2008 Nov;67(9):1343–55. doi: 10.1016/j.socscimed.2008.06.037.
    1. Nundy S, Dick JJ, Goddu AP, Hogan P, Lu CY, Solomon MC, Bussie A, Chin MH, Peek ME. Using mobile health to support the chronic care model: developing an institutional initiative. Int J Telemed Appl. 2012;2012:871925. doi: 10.1155/2012/871925.
    1. Bhavnani A, Won-Wai CR, Janakiram S, Silarszky P, Bhatia D. ICT Policy Division Global Information and Communications Department (GICT); [2015-01-30]. The Role of Mobile Phones in Sustainable Rural Poverty Reduction .
    1. Smith A. Pew Internet. 2016. [2018-04-22]. Chapter One: A Portrait of Smartphone Ownership

Source: PubMed

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