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Abstract

This longitudinal, nonexperimental, quantitative study examined the acceptability, feasibility, and efficacy of a texting intervention that was added to medical case management for youth and young adults at high risk for poor HIV outcomes. The intervention, E-VOLUTION, sent automated text messages to youth participants living with HIV that reminded them to take prescribed medication and attend medical visits. Automated texts also asked clients about mood, housing, and ability to pay bills. Client responses to automated texts that indicated challenges triggered alerts for their medical case manager, who then followed up to address the issue. Participants (N = 100) were an average age between 22 and 23 years and most were Black (95%) and men who have sex with men (82%). Over a period of 26 months 89,681 automated texts were sent, resulting in 450 alerts. Additionally, clients and medical case managers exchanged more than 17,000 texts. Results of Spearman correlations indicated significant associations between greater frequency of alerts triggered and greater likelihood of kept medical appointments (p < .05). Findings also showed significant associations between greater frequency of texting with a medical case manager and greater likelihood of viral load suppression and kept medical visits at 12-month follow-up (p < .01). More frequent substance use was associated with more alerts triggered (p < .01). Use of text messaging was acceptable to the participants and is a culturally responsive way to engage youth participants living with HIV in care. Future research may examine the use of structured behavioral health assessments in the automated texting framework, as well as compare outcomes between automated and two-way texting groups.

Keywords

HIV/AIDS technology sexual health adolescent health

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References

Arroll

Goodyear-Smith

Crengle

Gunn

Kerse

Fishman

Falloon

Hatcher

(2010). Validation of PHQ-2 and PHQ-9 to screen for major depression in the primary care population. Annals of Family Medicine, 8(4), 348–353. https://doi.org/10.1370/afm.1139

Crepaz

Dong

Wang

Hernandez

A. L.

Hall

H. I.

(2018). Racial and ethnic disparities in sustained viral suppression and transmission risk potential among persons receiving HIV care—United States, 2014. Morbidity and Mortality Weekly Report, 67(4), 113–118. https://doi.org/10.15585/mmwr.mm6704a2

Donevant

S. B.

Hilfinger Messias

D. K.

Estrada

R. D.

(2018). Utilization of mobile applications in collaborative patient-provider monitoring of chronic health conditions: An examination of three theoretical frameworks to guide practice. Journal of Informatics Nursing, 3(2), 6–11.

Felitti

V. J.

Anda

R. F.

Nordenberg

Williamson

D. F.

Spitz

A. M.

Edwards

Koss

M. P.

Marks

J. S.

(2019). Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences (ACE) study. American Journal of Preventive Medicine, 56(6), 774–786. (Reprinted from “Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences (ACE) Study,” 1998, American Journal of Preventive Medicine, 14(4), 245–258, https://doi.org/10.1016/S0749-3797(98)00017-8)

Finitsis

D. J.

Pellowski

J. A.

Johnson

B. T.

(2014). Text message intervention designs to promote adherence to antiretroviral therapy (ART): A meta-analysis of randomized controlled trials. PloS One, 9(2), e88166. https://doi.org/10.1371/journal.pone.0088166

Gamarel

K. E.

Brown

Kahler

C. W.

Fernandez

M. I.

Bruce

Nichols

, & Adolescent Medicine Trials Network for HIV/AIDS Intervention. (2016). Prevalence and correlates of substance use among youth living with HIV in clinical settings. Drug and Alcohol Dependence, 169, 11–18. https://doi.org/10.1016/j.drugalcdep.2016.10.002

Hall

Cole-Lewis

Bernhardt

(2015). Mobile text messaging for health: A systematic review of reviews. Annual Reviews of Public Health, 36, 393–415. https://doi.org/10.1146/annurev-publhealth-031914-122855

Henny

K. D.

Wilkes

A. L.

McDonald

C. M.

Denson

D. J.

Neumann

M. S.

(2018). A rapid review of eHealth interventions addressing the continuum of HIV care (2007–2017). AIDS and Behavior, 22(1), 43–63. https://doi.org/10.1007/s10461-017-1923-2

Holloway

I. W.

Winder

T. J.

Lea

C. H.

III Tan

Boyd

Novak

(2017). Technology use and preferences for mobile phone–based HIV prevention and treatment among black young men who have sex with men: Exploratory research. JMIR mHealth and uHealth, 5(4), e46. https://doi.org/10.2196/mhealth.6436

10.

Garofalo

Kuhns

L. M.

Hotton

Johnson

Muldoon

Rice

(2016). A randomized controlled trial of personalized text message reminders to promote medication adherence among HIV-positive adolescents and young adults. AIDS and Behavior, 20(5), 1049–1059. https://doi.org/10.1007/s10461-015-1192-x

11.

Gilbert

L. K.

Breiding

M. J.

Merrick

M. T.

Thompson

W. W.

Ford

D. C.

Dhingra

S. S.

Parks

S. E.

(2015). Childhood adversity and adult chronic disease: An update from ten states and the District of Columbia, 2010. American Journal of Preventive Medicine, 48(3), 345–349. https://doi.org/10.1016/j.amepre.2014.09.006

12.

Glasgow

R. E.

Bull

S. S.

Piette

J. D.

Steiner

J. F.

(2004). Interactive behavior change technology. A partial solution to the competing demands of primary care. American journal of preventive medicine, 27(2 Suppl), 80–87. https://doi.org/10.1016/j.amepre.2004.04.026

13.

Griffith

D. C.

Agwu

A. L

. Caring for youth living with HIV across the continuum: Turning gaps into opportunities. AIDS Care, 29(10), 1205–1211. https://doi.org/10.1080/09540121.2017.1290211

14.

Jong

Cuca

Thompson

L. M.

(2017). Meta-analysis of mobile phone reminders on HIV patients’ retention to care. Journal of Mobile Technology in Medicine, 6(1), 5–18. https://doi.org/10.7309/jmtm.6.1.2

15.

Kroenke

Spitzer

R. L.

Williams

J. B.

(2003). The Patient Health Questionnaire-2: Validity of a two-item depression screener. Medical Care, 41(11), 1284–1292. https://doi.org/10.1097/01.MLR.0000093487.78664.3C

16.

Landovitz

R. J.

Desmond

K. A.

Leibowitz

A. A.

(2017). Antiretroviral therapy: Racial disparities among publicly insured Californians with HIV. Journal of Health Care for the Poor and Underserved, 28(1), 406–429. https://doi.org/10.1353/hpu.2017.0031

17.

Miller

R. L.

Reed

S. J.

McNall

M. A.

Forney

J. C.

(2013). The effect of trauma on recent inconsistent condom use among young black gay and bisexual men. Journal of HIV/AIDS & Social Services, 12(3–4), 349–367. https://doi.org/10.1080/15381501.2012.749820

18.

Mohr

D. C.

Cuijpers

Lehman

(2011). Supportive accountability: A model for providing human support to enhance adherence to eHealth interventions. Journal of Medical Internet Research, 13(1), e30. https://doi.org/10.2196/jmir.1602

19.

Mohr

D. C.

Schueller

S. M.

Montague

Burns

M. N.

Rashidi

(2014). The behavioral intervention technology model: An integrated conceptual and technological framework for eHealth and mHealth interventions. Journal of Medical Internet Research, 16(6), Article e146. https://doi.org/10.2196/jmir.3077

20.

Moore

D. J.

Jain

Dubé

M. P.

Daar

E. S.

Sun

Young

Corado

Ellorin

Milam

Collins

Blumenthal

Best

B. M.

Anderson

Haubrich

Blumenthal

(2017). Randomized controlled trial of daily text messages to support adherence to preexposure prophylaxis in individuals at risk for human immunodeficiency virus: The TAPIR study. Clinical Infectious Diseases, 66(10), 1566–1572. https://doi.org/10.1093/cid/cix1055

21.

Nelson

(2002). Unequal treatment: Confronting racial and ethnic disparities in health care. Journal of the National Medical Association, 94(8), 666–668. https://doi.org/10.17226/12875

22.

Odeny

T. A.

Newman

Bukusi

E. A.

McClelland

R. S.

Cohen

C. R.

Camlin

C. S.

(2014). Developing content for a mHealth intervention to promote postpartum retention in prevention of mother-to-child HIV transmission programs and early infant diagnosis of HIV: A qualitative study. PLOS ONE, 9(9), Article e106383. https://doi.org/10.1371/journal.pone.0106383

23.

Saberi

Dawson Rose

Wootton

A. R.

Ming

Legnitto

Jeske

Pollack

L. M.

Johnson

M. O.

Gruber

V. A.

Neilands

T. B.

(2019). Use of technology for delivery of mental health and substance use services to youth living with HIV: A mixed-methods perspective. AIDS Care, 1–9. https://doi.org/10.1080/09540121.2019.1622637

24.

Schnall

Okoniewski

Tiase

Low

Rodriguez

Kaplan

(2013). Using text messaging to assess adolescents’ health information needs: An ecological momentary assessment. Journal of Medical Internet Research, 15(3), e54. https://doi.org/10.2196/jmir.2395

25.

Zestcott

C. A.

Blair

I. V.

Stone

(2016). Examining the presence, consequences, and reduction of implicit bias in health care: A narrative review. Group Processes & Intergroup Relations, 19(4), 528–542. https://doi.org/10.1177/1368430216642029

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E-VOLUTION: A Text Messaging–Powered Intervention—Connection,Support,and HIV Eradication

Abstract

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