nach oben

AIDS and Behavior

Erschienen in:

03.01.2018 | Original Paper

Mobile Health Technology for Improving Symptom Management in Low Income Persons Living with HIV

verfasst von: Rebecca Schnall, Hwayoung Cho, Alexander Mangone, Adrienne Pichon, Haomiao Jia

Erschienen in: AIDS and Behavior | Ausgabe 10/2018

Einloggen, um Zugang zu erhalten

Abstract

Persons living with HIV (PLWH) are living longer but experiencing more adverse symptoms associated with the disease and its treatment. This study aimed to examine the impact of a mHealth application (app) comprised of evidence-based self-care strategies on the symptom experience of PLWH. We conducted a 12-week feasibility study with 80 PLWH who were randomized (1:1) to a mHealth app, mobile Video Information Provider (mVIP), with self-care strategies for improving 13 commonly experienced symptoms in PLWH or to a control app. Intervention group participants showed a significantly greater improvement than the control group in 5 symptoms: anxiety (p = 0.001), depression (p = 0.001), neuropathy (p = 0.002), fever/chills/sweat (p = 0.037), and weight loss/wasting (p = 0.020). Participants in the intervention group showed greater improvement in adherence to their antiretroviral medications (p = 0.017) as compared to those in the control group. In this 12-week trial, mVIP was associated with improved symptom burden and increased medication adherence in PLWH.

Deeks SG, Lewin SR, Havlir DV. The end of AIDS: HIV infection as a chronic disease. The Lancet. 2013;382(9903):1525–33.CrossRef

Centers for Disease Control and Prevention. HIV/AIDS surveillance report 2007. Atlanta: U.S. Department of Health and Human Services, CDC; 2009.

Morgan EE, Iudicello JE, Weber E, et al. Synergistic effects of HIV infection and older age on daily functioning. J Acquir Immune Defic Syndr. 2012;61(3):341–8.CrossRef

Spirig R, Moody K, Battegay M, De Geest S. Symptom management in HIV/AIDS: advancing the conceptualization. ANS Adv Nurs Sci. 2005;28(4):333–44.CrossRef

Leserman J, Jackson ED, Petitto JM, et al. Progression to AIDS: the effects of stress, depressive symptoms, and social support. Psychosom Med. 1999;61(3):397–406.CrossRef

Heaven CMMP. The relationship between patients’ concerns and psychological distress in a hospice setting. Psycho-Oncology. 1998;7(6):502–7.CrossRef

Indyk DBR, Lachapelle S, Gordon G, Dewart T. A community-based approach to HIV case management: systematizing the unmanageable. Soc Work. 1993;38(4):380–7.PubMed

Corless IB, Bunch EH, Kemppainen JK, et al. Self-care for fatigue in patients with HIV. Oncol Nurs Forum. 2002;29(5):E60–9.CrossRef

Bodenheimer T, Lorig K, Holman H, Grumbach K. Patient self-management of chronic disease in primary care. JAMA. 2002;288(19):2469–75.CrossRef

10.

Burgoyne R, Collins E, Wagner C, et al. The relationship between lipodystrophy-associated body changes and measures of quality of life and mental health for HIV-positive adults. Qual Life Res. 2005;14(4):981–90.CrossRef

11.

Wantland DJ, Holzemer WL, Moezzi S, et al. A randomized controlled trial testing the efficacy of an HIV/AIDS symptom management manual. J Pain Symptom Manag. 2008;36(3):235–46.CrossRef

12.

Schnall R, Mosley JP, Iribarren SJ, et al. Comparison of a user-centered design, self-management app to existing mHealth apps for persons living with HIV. JMIR mHealth uHealth. 2015;3(3):e91.CrossRef

13.

Muessig KE, Pike EC, Legrand S, Hightow-Weidman LB. Mobile phone applications for the care and prevention of HIV and other sexually transmitted diseases: a review. J Med Internet Res. 2013;15(1):e1.CrossRef

14.

Curioso WH, Mechael PN. Enhancing ‘M-health’ with south-to-south collaborations. Health Aff. 2010;29(2):264–7.CrossRef

15.

Schnall R, Cho H, Webel A. Predictors of willingness to use a smartphone for research in underserved persons living with HIV. Int J Med Inform. 2017;99:53–9.CrossRef

16.

Schnall R, Bakken S, Rojas M, Travers J, Carballo-Dieguez A. mHealth technology as a persuasive tool for treatment, care and management of persons living with HIV. AIDS Behav. 2015;19(Suppl 2):81–9.CrossRef

17.

Lenhart A, Hitlin P, Madden M. Teens and Technology. 2005; http://www.pewinternet.org/Reports/2005/Teens-and-Technology/06-Communications-Tools-and-Teens/17-Cell-phone-text-messaging-emerges-as-a-formidable-force.aspx?r=1. Accessed 28 Mar 2010.

18.

Pew Research Center. Mobile Fact Sheet. 2016; http://www.pewinternet.org/fact-sheet/mobile/. Accessed 14 July 2016.

19.

Pew Research Center. Mobile internet use on the rise among internet users. 2016; http://www.pewhispanic.org/2016/07/20/digital-divide-narrows-for-latinos-as-more-spanish-speakers-and-immigrants-go-online/ph_2016-07-21_broadband-08/. Accessed 14 July 2016.

20.

Pew Research Center. Home Broadband 2015. 2015; http://www.pewinternet.org/2015/12/21/home-broadband-2015/. Accessed 14 July 2016.

21.

Cho H, Milian L, Schnall R. Card sorting of symptom self-management strategies to inform the development of a mHealth App in underserved persons living with HIV AMIA 2016 Annual Symposium; 2016.

22.

Cho H, Milian L, Schnall R. Use of card sorting for incorporating symptom self-management strategies into a mHealth app for underserved persons living with HIV. IEEE Wireless Health 2016 Conference; 2016.

23.

Cho H, Rojas H, Fulmer C, Schnall R. Usability evaluation of a prototype mHealth app for symptom self-management in underserved persons living with HIV AMIA 2017 Annual Symposium; 2017.

24.

Holzemer WL, Hudson A, Kirksey KM, Hamilton MJ, Bakken S. The revised sign and symptom check-list for HIV (SSC-HIVrev). J Assoc Nurses AIDS Care. 2001;12(5):60–70.CrossRef

25.

Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–98.CrossRef

26.

Schnall R, Liu J, Cho H, et al. A health-related quality-of-life measure for use in patients with HIV: a validation study. AIDS Patient Care STDS. 2017;31(2):43–8.CrossRef

27.

Hays RD, Sherbourne CD, Mazel RM. The rand 36-item health survey 1.0. Health Econ. 1993;2(3):217–27.CrossRef

28.

Chang C-H, Wright BD, Cella D, Hays RD. The SF-36 physical and mental health factors were confirmed in cancer and HIV/AIDS patients. J Clin Epidemiol. 2007;60(1):68–72.CrossRef

29.

Bakken S, Holzemer WL, Brown M-A, et al. Relationships between perception of engagement with health care provider and demographic characteristics, health status, and adherence to therapeutic regimen in persons with HIV/AIDS. AIDS Patient Care STDs. 2000;14(4):189–97.CrossRef

30.

Giordano TP, Guzman D, Clark R, Charlebois ED, Bangsberg DR. Measuring adherence to antiretroviral therapy in a diverse population using a visual analogue scale. HIV Clin Trials. 2004;5(2):74–9.CrossRef

31.

Yen P-Y, Sousa KH, Bakken S. Examining construct and predictive validity of the health-IT usability evaluation scale: confirmatory factor analysis and structural equation modeling results. J Am Med Inform Assoc JAMIA. 2014;21(e2):e241–8.CrossRef

32.

Cella D, Riley W, Stone A, et al. The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. J Clin Epidemiol. 2010;63(11):1179–94.CrossRef

33.

Mulvaney SA, Anders S, Smith AK, Pittel EJ, Johnson KB. A pilot test of a tailored mobile and web-based diabetes messaging system for adolescents. J Telemed Telecare. 2012;18(2):115–8.CrossRef

34.

Faridi Z, Liberti L, Shuval K, et al. Evaluating the impact of mobile telephone technology on type 2 diabetic patients’ self-management: the NICHE pilot study. J Eval Clin Pract. 2008;14(3):465–9.CrossRef

35.

Stirratt MJ, Dunbar-Jacob J, Crane HM, et al. Self-report measures of medication adherence behavior: recommendations on optimal use. Transl Behav Med. 2015;5(4):470–82.CrossRef

36.

Chesney MA, Morin M, Sherr L. Adherence to HIV combination therapy. Soc Sci Med. 2000;50(11):1599–605.CrossRef

37.

Miners A, Phillips A, Kreif N, et al. Health-related quality-of-life of people with HIV in the era of combination antiretroviral treatment: a cross-sectional comparison with the general population. Lancet HIV. 2014;1(1):e32–40.CrossRef

38.

Schnall R, Cho H, Liu J. Validation of the health information technology usability evaluation scale (health-ITUES) for usability Assessment of Mobile Health Technology. JMIR mHealth uHealth. Under Review.

39.

Adolescents. PoAGfAa. Guidelines for the use of antiretroviral agents in HIV-1-infected adults and adolescents. 2016; http://www.aidsinfo.nih.gov/ContentFiles/AdultandAdolescentGL.pdf. Accessed 17 July 2017.

40.

Aberg JA, Gallant JE, Ghanem KG, et al. Primary care guidelines for the management of persons infected with HIV: 2013 update by the HIV Medicine Association of the Infectious Diseases Society of America. Clin Infect Dis. 2014;58(1):e1–34.CrossRef

41.

Schnall R, Wantland D, Velez O, Cato K, Jia H. Feasibility testing of a Web-based symptom self-management system for persons living with HIV. J Assoc Nurses AIDS Care JANAC. 2014;25(4):364–71.CrossRef

42.

Johnson KB, Patterson BL, Ho Y-X, et al. The feasibility of text reminders to improve medication adherence in adolescents with asthma. J Am Med Inform Assoc JAMIA. 2016;23(3):449–55.CrossRef

43.

Bowen DJ, Kreuter M, Spring B, et al. How we design feasibility studies. Am J Prev Med. 2009;36(5):452–7.CrossRef

44.

Green LW. Public health asks of systems science: to advance our evidence-based practice, can you help us get more practice-based evidence? Am J Public Health. 2006;96(3):406–9.CrossRef

Titel: Mobile Health Technology for Improving Symptom Management in Low Income Persons Living with HIV
verfasst von: Rebecca Schnall
Hwayoung Cho
Alexander Mangone
Adrienne Pichon
Haomiao Jia
Publikationsdatum: 03.01.2018
Verlag: Springer US
Erschienen in: AIDS and Behavior / Ausgabe 10/2018
Print ISSN: 1090-7165
Elektronische ISSN: 1573-3254
DOI: https://doi.org/10.1007/s10461-017-2014-0

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Innere Medizin

Alphablocker schützt vor Miktionsproblemen nach der Biopsie

16.05.2024 alpha-1-Rezeptorantagonisten Nachrichten

Nach einer Prostatabiopsie treten häufig Probleme beim Wasserlassen auf. Ob sich das durch den periinterventionellen Einsatz von Alphablockern verhindern lässt, haben australische Mediziner im Zuge einer Metaanalyse untersucht.

Eingreifen von Umstehenden rettet vor Erstickungstod!

15.05.2024 Fremdkörperaspiration Nachrichten

Wer sich an einem Essensrest verschluckt und um Luft ringt, benötigt vor allem rasche Hilfe. Dass Umstehende nur in jedem zweiten Erstickungsnotfall bereit waren, diese zu leisten, ist das ernüchternde Ergebnis einer Beobachtungsstudie aus Japan. Doch es gibt auch eine gute Nachricht.

Neue S3-Leitlinie zur unkomplizierten Zystitis: Auf Antibiotika verzichten?

15.05.2024 Harnwegsinfektionen Nachrichten

Welche Antibiotika darf man bei unkomplizierter Zystitis verwenden und wovon sollte man die Finger lassen? Welche pflanzlichen Präparate können helfen? Was taugt der zugelassene Impfstoff? Antworten vom Koordinator der frisch überarbeiteten S3-Leitlinie, Prof. Florian Wagenlehner.

Schadet Ärger den Gefäßen?

14.05.2024 Arteriosklerose Nachrichten

In einer Studie aus New York wirkte sich Ärger kurzfristig deutlich negativ auf die Endothelfunktion gesunder Probanden aus. Möglicherweise hat dies Einfluss auf die kardiovaskuläre Gesundheit.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 10/2018

Empowering Lay-Counsellors with Technology: Masivukeni, a Standardized Multimedia Counselling Support Tool to Deliver ART Counselling

Assessement of Awareness of, Concerns and Attitudes Towards HIV-Related Court-Case Sentences in France in a Representative Sample of People Living with HIV (ANRS VESPA2 Survey)

United States National Trends in Mortality, Length of Stay (LOS) and Associated Costs of Cognitive Impairment in HIV Population from 2005 to 2014

Preferences for Sexual Health Smartphone App Features Among Gay and Bisexual Men

Predicting Arrest in a Sample of Youth Perinatally Exposed to HIV: The Intersection of HIV and Key Contextual Factors

Grit and Ambition are Associated with Better Neurocognitive and Everyday Functioning Among Adults Living with HIV