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Current HIV/AIDS Reports

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03.12.2018 | HIV and Technology (J Simoni and K Ronen, Section Editors)

Health Behavior Theory to Enhance eHealth Intervention Research in HIV: Rationale and Review

verfasst von: Jane M. Simoni, Keshet Ronen, Frances M. Aunon

Erschienen in: Current HIV/AIDS Reports | Ausgabe 6/2018

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Abstract

Purpose of Review

Optimal design and evaluation of eHealth interventions requires the specification of behavioral targets and hypothesized mechanisms of action—both of which can be enhanced with the use of established health behavior theories (HBTs). In this paper, we describe the major HBTs and examine their use in studies of eHealth interventions for HIV prevention and treatment and assess the contribution of HBT in developing and evaluating eHealth interventions.

Recent Findings

Based on our review of the literature, we argue the field can benefit from more systematic selection, application, and reporting of HBT. We highlight theories specifically designed for eHealth and describe ways that HBT can be used by researchers and practitioners to improve the rigor and impact of eHealth interventions for individuals living with or at risk for HIV.

Summary

This brief overview of HBTs and their application to eHealth intervention in HIV research has underscored the importance of a theoretically intentional approach. The theory should be used to inform the design of the eHealth intervention; the intervention should not determine the theory. A theory-driven iterative model of eHealth intervention development may not only improve our repertoire of effective strategies but also has the potential to expand our theoretical and empirical knowledge of health behavior change.

Eysenbach G. What is e-health? J Med Internet Res [Internet]. JMIR Publications Inc.; 2001 [cited 2018 Feb 25];3:E20. Available from: http://www.ncbi.nlm.nih.gov/pubmed/11720962.

Oh H, Rizo C, Enkin M, Jadad A, Powell J, Pagliari C. What is eHealth (3): a systematic review of published definitions. J Med Internet Res [Internet]. 2005 [cited 2018 Feb 25];7:e1. Available from: http://www.ncbi.nlm.nih.gov/pubmed/15829471.

•• Henny KD, Wilkes AL, McDonald CM, Denson DJ, Neumann MS. A rapid review of eHealth interventions addressing the continuum of HIV care (2007–2017). AIDS Behav. Springer US. 2018;22:43–63. This review provides a comprehensive summary of recent eHealth interventions in the HIV field, including behavior theories employed.

Cooper V, Clatworthy J, Whetham J, Consortium E. mHealth interventions to support self-management in HIV: a systematic review. Open AIDS J [Internet]. 2017;11:119–32. Available from: http://benthamopen.com/FULLTEXT/TOAIDJ-11-119.

Navarra A-MD, Gwadz MV, Whittemore R, Bakken SR, Cleland CM, Burleson W, et al. Health technology-enabled interventions for adherence support and retention in care among US HIV-infected adolescents and young adults: an integrative review. AIDS Behav. 2017;21:3154–71.

Thakkar J, Kurup R, Laba T-L, Santo K, Thiagalingam A, Rodgers A, et al. Mobile telephone text messaging for medication adherence in chronic disease: a meta-analysis. JAMA Intern Med. 2016;176:340–9.

Conserve DF, Jennings L, Aguiar C, Shin G, Handler L, Maman S. Systematic review of mobile health behavioural interventions to improve uptake of HIV testing for vulnerable and key populations. J Telemed Telecare. 2016;23:347–59.CrossRefPubMedPubMedCentral

Horvath KJ, Lammert S, LeGrand S, Muessig KE, Bauermeister JA. Using technology to assess and intervene with illicit drug-using persons at risk for HIV. Curr Opin HIV AIDS. 2017;12:458–66.CrossRefPubMedPubMedCentral

Schnall R, Travers J, Rojas M, Carballo-Diéguez A. eHealth interventions for HIV prevention in high-risk men who have sex with men: a systematic review. J Med Internet Res [Internet]. 2014 [cited 2018 Feb 8];16:e134. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24862459.

10.

Jones K, Eathington P, Baldwin K, Sipsma H. The impact of health education transmitted via social media or text messaging on adolescent and young adult risky sexual behavior: a systematic review of the literature. Sex Transm Dis. 2014;41:413–9.CrossRefPubMed

11.

• Bull S, Ezeanochie N. From Foucault to Freire through Facebook: toward an integrated theory of mHealth. Heal Educ Behav [Internet]. 2016;43:399–411. Available from: https://doi.org/10.1177/1090198115605310. This review examines the use of theory in mHealth studies and proposes an integrated theory of mHealth that incorporates social science, communication and social network theories.

12.

Michielsen K, Chersich M, Temmerman M, et al. Nothing as Practical as a Good Theory? The Theoretical Basis of HIV Prevention Interventions for Young People in Sub-Saharan Africa: A Systematic Review. AIDS Res Treat 2012;2012:1–18. https://doi.org/10.1155/2012/345327.

13.

Glanz K, Rimer BK, Viswanath K (Kasisomayajula). Health behavior: theory, research, and practice [Internet]. [cited 2018 Feb 8]. Available from: https://www.ncbi.nlm.nih.gov/nlmcatalog/?term=101666345.

14.

National Cancer Institute. Theory at a glance: a guide for health promotion practice. Theory a Glance. 2005.

15.

van der Linden S. A response to Dolan. In: Oliver A. (ed) Behavioural Public Policy. Cambridge University Press. 2013; pp. 209–215.

16.

Lewin K. Field theory in social science: selected theoretical papers. 1st edit ed. New York: Harper & Brothers; 1951.

17.

Noar SM. Behavioral interventions to reduce HIV-related sexual risk behavior: review and synthesis of meta-analytic evidence. AIDS Behav. 2008;12:335–53.CrossRefPubMed

18.

Herbst JH, Sherba RT, Crepaz N, Deluca JB, Zohrabyan L, Stall RD, et al. A meta-analytic review of HIV behavioral interventions for reducing sexual risk behavior of men who have sex with men. J Acquir Immune Defic Syndr. 2005;39:228–41.

19.

Richards D, Richardson T. Computer-based psychological treatments for depression: a systematic review and meta-analysis. Clin Psychol Rev. 2012;32:329–42.CrossRefPubMed

20.

Head KJ, Noar SM, Iannarino NT, Grant Harrington N. Efficacy of text messaging-based interventions for health promotion: a meta-analysis. Soc Sci Med. Elsevier Ltd. 2013;97:41–8.CrossRefPubMed

21.

Webb TL, Joseph J, Yardley L, Michie S. Using the Internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res. 2010;12:1–18.CrossRef

22.

Mbuagbaw L, Sivaramalingam B, Navarro T, Hobson N, Keepanasseril A, Wilczynski NJ, et al. Interventions for enhancing adherence to Antiretroviral Therapy (ART): a systematic review of high quality studies. AIDS Patient Care STDS [Internet]. 2015;29:248–66. Available from: https://doi.org/10.1089/apc.2014.0308.

23.

Morgan B, Hunt X, Tomlinson M. Thinking about the environment and theorising change: how could Life History Strategy Theory inform mHealth interventions in low- and middle-income countries? Glob Health Action [Internet]. Taylor & Francis; 2017;10. Available from: https://doi.org/10.1080/16549716.2017.1320118.

24.

Kalichman SC. Preventing AIDS: a sourcebook for behavioral interventions. Mahwah: Lawrence Erlbaum Associates; 1998.

25.

Perkins HW, Berkowitz AD. Perceiving the community norms of alcohol use among students: some research implications for campus alcohol education programming. Int J Addict [Internet]. [cited 2018 Feb 15];21:961–76. Available from: http://www.ncbi.nlm.nih.gov/pubmed/3793315.

26.

Bronfenbrenner U. Ecological systems theory. Ann Child Dev. 1989;6:187–249.

27.

Rosenstock IM, Strecher VJ, Becker MH. The Health Belief Model and HIV Risk Behavior Change. In: Preventing AIDS: Theories and Methods of Behavioral Interventions. 1994; pp. 5–24.

28.

Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior [Internet]. Englewood Cliffs: Prentice Hall. 1980. Available from: http://www.getcited.org/pub/103368990.

29.

Fishbein M, Ajzen I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley. 1975.

30.

Prochaska JO, DiClemente CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol [Internet]. 1983 [cited 2018 Feb 15];51:390–5. Available from: http://www.ncbi.nlm.nih.gov/pubmed/6863699.

31.

Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Heal Promot [Internet]. SAGE PublicationsSage CA: Los Angeles, CA; 1997 [cited 2018 Feb 15];12:38–48. Available from: http://journals.sagepub.com/doi/10.4278/0890-1171-12.1.38

32.

Bandura A. Social foundations of thought and action: a social cognitive theory. Soc. Found. thought action A Soc. Cogn. theory. Englewood Cliffs: Prentice-Hall, Inc; 1986.

33.

Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev [Internet]. 1977 [cited 2018 Feb 15];84:191–215. Available from: http://www.ncbi.nlm.nih.gov/pubmed/847061.

34.

Fisher JD, Fisher WA. Changing AIDS-risk behavior. Psychol Bull [Internet]. 1992 [cited 2018 Feb 15];111:455–74. Available from: http://www.ncbi.nlm.nih.gov/pubmed/1594721.

35.

Rivet Amico K. A situated-information motivation behavioral skills model of care initiation and maintenance (sIMB-CIM): an IMB model based approach to understanding and intervening in engagement in care for chronic medical conditions. J Health Psychol. 2011;16:1071–81.CrossRefPubMed

36.

McLeroy KR, Bibeau D, Steckler A, Glanz K. An ecological perspective on health promotion programs. Health Educ Q [Internet]. 1988 [cited 2018 Feb 23];15:351–77. Available from: http://www.ncbi.nlm.nih.gov/pubmed/3068205.

37.

Jaccard J, Dodge T, Dittus P. Parent-adolescent communication about sex and birth control: a conceptual framework. New Dir Child Adolesc Dev. 2002;2002:9–41.CrossRef

38.

Catania JA, Kegeles SM, Coates TJ. Towards an understanding of risk behavior: an AIDS Risk Reduction Model (ARRM). Health Educ Q [Internet]. Sage PublicationsSage CA: Thousand Oaks, CA; 1990 [cited 2018 Feb 15];17:53–72. Available from: https://doi.org/10.1177/109019819001700107.

39.

Baum A, Revenson TA, Singer JE. Handbook of health psychology. New York: Psychology Press; 2012.CrossRef

40.

Ogden J. Some problems with social cognition models: a pragmatic and conceptual analysis. Heal Psychol [Internet]. 2003 [cited 2018 Feb 23];22:424–8. Available from: https://doi.org/10.1037/0278-6133.22.4.424.

41.

Kaufman MR, Cornish F, Zimmerman RS, Johnson BT. Health behavior change models for HIV prevention and AIDS care: practical recommendations for a multi-level approach. J Acquir Immune Defic Syndr. 2014;66(Suppl 3):S250–8.CrossRefPubMed

42.

Connell R. Gender and power: society, the person, and sexual politics [Internet]. Stanford University Press; 1987 [cited 2018 Feb 15]. Available from: http://www.sup.org/books/title/?id=2532

43.

Freeman R, Gwadz MV, Silverman E, Kutnick A, Leonard NR, Ritchie AS, et al. Critical race theory as a tool for understanding poor engagement along the HIV care continuum among African American/Black and Hispanic persons living with HIV in the United States: a qualitative exploration. Int J Equity Health. 2017;16:1–14.CrossRef

44.

Ford CL, Airhihenbuwa CO. Critical race theory, race equity, and public health: toward antiracism praxis. Am J Public Health [Internet]. American Public Health Association; 2010 [cited 2018 Feb 15];100 Suppl 1:S30–5. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20147679.

45.

Delgado R, Stefancic J. Critical race theory: an introduction. New York: New York University Press; 2012.

46.

Dekoekkoek T, Given B, Given CW, Ridenour K, Schueller M, Spoelstra SL. mHealth SMS text messaging interventions and to promote medication adherence: an integrative review. J Clin Nurs. 2015;24:2722–35.CrossRefPubMed

47.

Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32:56–69.CrossRefPubMed

48.

Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Transl Behav Med. 2011;1:53–71.CrossRefPubMedPubMedCentral

49.

Davis SF, Ellsworth MA, Payne HE, Hall SM, West JH, Nordhagen AL. Health behavior theory in popular calorie counting apps: a content analysis. JMIR mHealth uHealth [Internet]. 2016;4:e19. Available from: http://mhealth.jmir.org/2016/1/e19/.

50.

Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10:e1001362.

51.

Campbell JI, Aturinda I, Mwesigwa E, et al. The Technology Acceptance Model for Resource-Limited Settings (TAM-RLS): A Novel Framework for Mobile Health Interventions Targeted to Low-Literacy End-Users in Resource-Limited Settings. AIDS Behav 2017;21:3129–3140.

52.

Bauermeister JA, Golinkoff JM, Muessig KE, Horvath KJ, Hightow-Weidman LB. Addressing engagement in technology-based behavioural HIV interventions through paradata metrics. Curr Opin HIV AIDS. 2017;12:442–6.CrossRefPubMedPubMedCentral

53.

Bensley RJ, Mercer N, Brusk JJ, Underhile R, Rivas J, Anderson J, et al. The eHealth Behavior Management Model: a stage-based approach to behavior change and management. Prev Chronic Dis [Internet]. 2004;1:A14. Available from: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&D=medc&AN=15670446%5Cn http://ry2ue4ek7d.search.serialssolutions.com/?sid=OVID:Ovid+MEDLINE%28R%29+Corrections&genre=article&id=pmid:15670446&id=doi:&issn=1545-1151&volume=1&issue=4&spage=A.

54.

Ritterband LM, Thorndike FP, Cox DJ, Kovatchev BP, Gonder-Frederick LA. A behavior change model for internet interventions. Ann Behav Med [Internet]. 2009 [cited 2018 Feb 15];38:18–27. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19802647.

55.

Mohr DC, Schueller SM, Montague E, Burns MN, Rashidi P. The behavioral intervention technology model: an integrated conceptual and technological framework for ehealth and mhealth interventions. J Med Internet Res. 2014;16:e146.CrossRefPubMedPubMedCentral

56.

Fogg B. A behavior model for persuasive design. Proc 4th Int Conf Persuas Technol - Persuas ‘09 [Internet]. New York, New York, USA: ACM Press; 2009 [cited 2018 Feb 15]. p. 1. Available from: http://portal.acm.org/citation.cfm?doid=1541948.1541999.

57.

Oinas-Kukkonen H, Harri. A foundation for the study of behavior change support systems. Pers Ubiquitous Comput [Internet]. Springer-Verlag; 2013 [cited 2018 Feb 15];17:1223–35. Available from: https://doi.org/10.1007/s00779-012-0591-5.

58.

Tomlinson M, Rotheram-Borus MJ, Swartz L, Tsai AC. Scaling up mHealth: where is the evidence? PLoS Med. 2013;10:1–5.CrossRef

59.

Collins LM, Baker TB, Mermelstein RJ, Piper ME, Jorenby DE, Smith SS, et al. The multiphase optimization strategy for engineering effective tobacco use interventions. Ann Behav Med [Internet]. 2011 [cited 2018 Feb 15];41:208–26. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21132416.

60.

Pop-Eleches C, Thirumurthy H, Habyarimana JP, Zivin JG, Goldstein MP, De Walque D, et al. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011;25:825–34.CrossRefPubMed

61.

Wald DS, Butt S, Bestwick JP. One-way versus two-way text messaging on improving medication adherence: meta-analysis of randomized trials. Am J Med. 2015;128:1139.e1–5.CrossRef

62.

Reback CJ, Ling D, Shoptaw S, Rohde J. Developing a text messaging risk reduction intervention for methamphetamine-using MSM: research note. Open AIDS J [Internet]. 2010 [cited 2018 Feb 15];4:116–22. Available from: http://www.bentham-open.org/pages/content.php?TOAIDJ/2010/00000004/00000003/116TOAIDJ.SGM.

63.

Odeny TA, Newman M, Bukusi EA, McClelland RS, Cohen CR, Camlin CS. 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. Thorne C, editor. PLoS One [Internet]. Public Library of Science; 2014 [cited 2018 Feb 23];9:e106383. Available from: https://doi.org/10.1371/journal.pone.0106383.

64.

Musoke P, Gakumo CA, Abuogi LL, et al. A Text Messaging Intervention to Support Option B+ in Kenya: A Qualitative Study. J Assoc Nurses AIDS Care 2018;29:287–299.

65.

Evans C, Turner K, Suggs LS, et al. Developing a mHealth intervention to promote uptake of HIV testing among African communities in the conditions: A qualitative study. BMC Public Health 2016;16:1–16.

66.

Garofalo R, Kuhns LM, Hotton A, Johnson A, Muldoon A, Rice D. A randomized controlled trial of personalized text message reminders to promote medication adherence among hiv-positive adolescents and young adults. AIDS Behav [Internet]. 2015/09/13. Springer US; 2016;20:1049–59. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26362167

Titel: Health Behavior Theory to Enhance eHealth Intervention Research in HIV: Rationale and Review
verfasst von: Jane M. Simoni
Keshet Ronen
Frances M. Aunon
Publikationsdatum: 03.12.2018
Verlag: Springer US
Erschienen in: Current HIV/AIDS Reports / Ausgabe 6/2018
Print ISSN: 1548-3568
Elektronische ISSN: 1548-3576
DOI: https://doi.org/10.1007/s11904-018-0418-8

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