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Efficacy, Use, and Usability of the VIP-HANA App for Symptom Self-management in PLWH with HANA Conditions

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Abstract

The purpose of this study was to evaluate the efficacy of the VIP-HANA application (app) for improving symptom burden in a randomized control trial of 100 people living with HIV (PLWH) who have non-AIDS conditions associated with HIV. The intervention group received the VIP-HANA app which allowed them to report their symptoms every week and receive self-management strategies tailored to their symptoms. The control arm received an app to report their symptoms every week but did not receive any strategies. The results of our study suggest that symptom burden improved in the participants of both study arms. Although these findings do not support the efficacy of VIP-HANA in improving symptom burden in PLWH who have HIV-associated non-AIDS (HANA) conditions, this could be a function of the study design. Findings suggest that PLWH are interested in monitoring their symptoms, which could have implications for the wider use of digital health for patient surveillance.

Resumen

El propósito de este estudio fue evaluar la eficacia de la aplicación VIP-HANA para mejorar la carga de síntomas en una prueba controlada aleatorizada de 100 personas que viven con VIH con condiciones no de SIDA asociadas al VIH. El grupo de intervención recibió la aplicación VIP-HANA que les permitió reportar sus síntomas cada semana y recibir estrategias de autogestión personalizadas. El brazo de control recibió una aplicación para reportar sus síntomas cada semana, pero no recibió ninguna estrategia. Los resultados de nuestro estudio sugieren que la carga general de los síntomas mejoro entre los participantes en ambos brazos del estudio. Aunque estos hallazgos no apoyan la eficacia de la aplicación VIP-HANA para mejorar la carga de síntomas en PVVS con condiciones de HANA, esto puede ser una función del diseño del estudio. Estos hallazgos sugieren que PVVS están interesados en monitorear sus síntomas, lo que puede tener implicaciones para el uso más amplio de salud digital para la vigilancia de pacientes.

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References

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

    Article  PubMed  PubMed Central  Google Scholar 

  2. Fujimoto K, Wang P, Flash CA, Kuhns LM, Zhao Y, Amith M, et al. Network modeling of PrEP uptake on referral networks and health venue utilization among young men who have sex with men. AIDS Behav. 2019;23(7):1698–707.

    Article  PubMed  Google Scholar 

  3. Neuhaus J, Angus B, Kowalska JD, La Rosa A, Sampson J, Wentworth D, et al. Risk of all-cause mortality associated with nonfatal AIDS and serious non-AIDS events among adults infected with HIV. AIDS. 2010;24(5):697–706.

    Article  PubMed  Google Scholar 

  4. Justice AC, Braithwaite RS. Lessons learned from the first wave of aging with HIV. AIDS. 2012;26(Suppl 1):S11–8.

    Article  PubMed  Google Scholar 

  5. High KP, Brennan-Ing M, Clifford DB, Cohen MH, Currier J, Deeks SG, et al. HIV and aging: state of knowledge and areas of critical need for research. A report to the NIH Office of AIDS Research by the HIV and Aging Working Group. J Acquir Immune Defic Syndr. 2012;60(Suppl 1):S1-18.

    Article  CAS  PubMed  Google Scholar 

  6. Phillips AN, Neaton J, Lundgren JD. The role of HIV in serious diseases other than AIDS. AIDS. 2008;22(18):2409–18.

    Article  PubMed  Google Scholar 

  7. Greene M, Justice AC, Lampiris HW, Valcour V. Management of human immunodeficiency virus infection in advanced age. JAMA. 2013;309(13):1397–405.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Schnall R, Cho H, Mangone A, Pichon A, Jia H. Mobile health technology for improving symptom management in low income persons living with HIV. AIDS Behav. 2018;22(10):3373–83.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Nicholas PK, Kirksey KM, Corless IB, Kemppainen J. Lipodystrophy and quality of life in HIV: symptom management issues. Appl Nurs Res. 2005;18(1):55–8.

    Article  PubMed  Google Scholar 

  10. Balderson BH, Grothaus L, Harrison RG, McCoy K, Mahoney C, Catz S. Chronic illness burden and quality of life in an aging HIV population. AIDS Care. 2013;25(4):451–8.

    Article  PubMed  Google Scholar 

  11. Wilson IB, Cleary PD. Clinical predictors of functioning in persons with acquired immunodeficiency syndrome. Med Care. 1996;34(6):610–23.

    Article  CAS  PubMed  Google Scholar 

  12. The University of California SFSoNSMFG. A model for symptom management. Image J Nurs Sch. 1994;26:272–6.

    Article  Google Scholar 

  13. Schnall R, Liu J, Mohr DC, Bakken S, Hirshfield S, Siegel K, et al. Multi-modal methodology for adapting digital health tools to new populations: adaptation of the video information provider (VIP) for persons living with HIV with HIV-associated non-AIDS (HANA) conditions. Stud Health Technol Inform. 2019;264:1347–51.

    PubMed  PubMed Central  Google Scholar 

  14. Iribarren S, Siegel K, Hirshfield S, Olender S, Voss J, Krongold J, et al. Self-management strategies for coping with adverse symptoms in persons living with HIV with HIV associated non-AIDS conditions. AIDS Behav. 2018;22(1):297–307.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Stonbraker S, Cho H, Hermosi G, Pichon A, Schnall R. Usability testing of a mHealth app to support self-management of HIV-associated non-AIDS related symptoms. Stud Health Technol Inform. 2018;250:106–10.

    PubMed  PubMed Central  Google Scholar 

  16. Stonbraker S, Porras T, Schnall R. Patient preferences for visualization of longitudinal patient-reported outcomes data. J Am Med Inform Assoc. 2019;27(2):212–24.

    Article  PubMed Central  Google Scholar 

  17. Schultz-Larsen K, Lomholt RK, Kreiner SJJOCE. Mini-mental status examination: a short form of MMSE was as accurate as the original MMSE in predicting dementia. J Clin Epidemiol. 2007;60(3):260–7.

    Article  PubMed  Google Scholar 

  18. Justice AC, Holmes W, Gifford AL, Rabeneck L, Zackin R, Sinclair G, et al. Development and validation of a self-completed HIV symptom index. J Clin Epidemiol. 2001;54(Suppl 1):S77-90.

    Article  PubMed  Google Scholar 

  19. Bakken S, Holzemer WL, Brown MA, Powell-Cope GM, Turner JG, Inouye J, 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.

    Article  CAS  PubMed  Google Scholar 

  20. Van den Broeck J, Cunningham SA, Eeckels R, Herbst K. Data cleaning: detecting, diagnosing, and editing data abnormalities. PLoS Med. 2005;2(10):e267.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Schnall R, Cho H, Liu J. Health Information Technology Usability Evaluation Scale (Health-ITUES) for usability assessment of mobile health technology: validation study. JMIR Mhealth Uhealth. 2018;6(1):e4.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Lewis JR. Psychometric evaluation of the PSSUQ using data from five years of usability studies. Int J Hum Comput Interact. 2002;14(3–4):463–388.

    Article  Google Scholar 

  23. Lorenz KA, Cunningham WE, Spritzer KL, Hays RD. Changes in symptoms and health-related quality of life in a nationally representative sample of adults in treatment for HIV. Qual Life Res. 2006;15(6):951–8.

    Article  PubMed  Google Scholar 

  24. Siegel K, Schrimshaw EW, Dean L. Symptom interpretation: implications for delay in HIV testing and care among HIV-infected late middle-aged and older adults. AIDS Care. 1999;11(5):525–35.

    Article  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  26. 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.

    Article  PubMed  Google Scholar 

  27. Schnall R, Liu J, Iribarren S. Information sources of self-care strategies for persons living with HIV. Int J Med Inform. 2018;111:1–6.

    Article  PubMed  Google Scholar 

  28. Hoekstra J, de Vos R, van Duijn NP, Schadé E, Bindels PJE. Using the symptom monitor in a randomized controlled trial: the effect on symptom prevalence and severity. J Pain Symptom Manag. 2006;31(1):22–30.

    Article  Google Scholar 

  29. Cho H, Porras T, Flynn G, Schnall R. Usability of a consumer health informatics tool following completion of a clinical trial: focus group study. J Med Internet Res. 2020;22(6):17708.

    Article  Google Scholar 

  30. Davis F. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13(3):319–40.

    Article  Google Scholar 

  31. Keselman A, Logan R, Smith CA, Leroy G, Zeng-Treitler Q. Developing informatics tools and strategies for consumer-centered health communication. J Am Med Inform Assoc. 2008;15(4):473–83.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Alpay L, Verhoef J, Xie B, Te’eni D, Zwetsloot-Schonk JH. Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding. Biomed Inform Insights. 2009;2(1):1–10.

    PubMed  PubMed Central  Google Scholar 

  33. Christopher GM. Use of health information technology among racial and ethnic underserved communities. Perspect Health Inf Manag. 2011;8:1f.

    Google Scholar 

  34. George S, Moran E, Duran N, Jenders RA. Using animation as an information tool to advance health research literacy among minority participants. AMIA Annu Symp Proc. 2013;2013:475–84.

    PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Research reported in this publication was supported by the National Institute of Nursing Research of the National Institutes of Health under Award Numbers: R01NR015737 and K24NR018621. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Authors and Affiliations

  1. Division of Scholarship and Research, Columbia University School of Nursing, 560 West 168th Street, New York, NY, 10032, USA

    Rebecca Schnall, Tiffany Porras, Haomiao Jia & Suzanne Bakken

  2. University of Florida College of Nursing, Gainesville, FL, USA

    Hwayoung Cho

  3. Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, NY, USA

    Karolynn Siegel

  4. Center for Behavioral Intervention Technologies (CBITs), Preventive Medicine, Medical Social Sciences and Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA

    David C. Mohr

  5. Division of Infectious Disease, Columbia University Medical Center, New York, NY, USA

    Susan Olender

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  1. Rebecca Schnall
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Correspondence to Rebecca Schnall.

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Schnall, R., Porras, T., Cho, H. et al. Efficacy, Use, and Usability of the VIP-HANA App for Symptom Self-management in PLWH with HANA Conditions. AIDS Behav 25, 1699–1710 (2021). https://doi.org/10.1007/s10461-020-03096-6

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