Integrating Electronic Patient-Reported Outcome Measures into Routine HIV Care and the ANRS CO3 Aquitaine Cohort's Data Capture and Visualization System (QuAliV): Protocol for a Formative Research Study

Diana Barger, Olivier Leleux, Valérie Conte, Vincent Sapparrart, Marie Gapillout, Isabelle Crespel, Marie Erramouspe, Sandrine Delveaux, Francois Dabis, Fabrice Bonnet, Diana Barger, Olivier Leleux, Valérie Conte, Vincent Sapparrart, Marie Gapillout, Isabelle Crespel, Marie Erramouspe, Sandrine Delveaux, Francois Dabis, Fabrice Bonnet

Abstract

Background: Effective antiretroviral therapy has greatly reduced HIV-related morbidity and mortality, dramatically changing the demographics of the population of people living with HIV. The majority of people living with HIV in France are well cared for insofar as their HIV infection is concerned but remain at risk for age-associated comorbidities. Their long-term, potentially complex, and growing care needs make the routine, longitudinal assessment of health-related quality of life and other patient-reported outcomes of relevance in the current treatment era.

Objective: We aim to describe the development of a Web-based electronic patient-reported outcomes system for people living with HIV linked to the ANRS CO3 Aquitaine cohort's data capture and visualization system (ARPEGE) and designed to facilitate the electronic collection of patient-reported data and ultimately promote better patient-physician communication and quality of care (both patient satisfaction and health outcomes).

Methods: Participants who meet the eligibility criteria will be invited to engage with the Web-based electronic patient-reported outcomes system and provided with the information necessary to create a personal patient account. They will then be able to access the electronic patient-reported outcomes system and complete a set of standardized validated questionnaires covering health-related quality of life (World Health Organization's Quality of Life Instrument in HIV infection, named WHOQOL-HIV BREF) and other patient-reported outcomes. The information provided via questionnaires will ultimately be presented in a summary format for clinicians, together with the patient's HIV care history.

Results: The prototype of the Web-based electronic patient-reported outcome system will be finalized and the first 2 formative research phases of the study (prototyping and usability testing) will be conducted from December 2017 to May 2018. We describe the sequential processes planned to ensure that the proposed electronic patient-reported outcome system is ready for formal pilot testing, referred to herein as phases 1a and 1b. We also describe the planned pilot-testing designed to evaluate the acceptability and use of the system from the patient's perspective (phase 2).

Conclusions: As the underlying information technology solution, ARPEGE, has being developed in-house, should the feasibility study presented here yield promising results, the panel of services provided via the proposed portal could ultimately be expanded and used to experiment with health-promoting interventions in aging people living with HIV in hospital-based care or adapted for use in other patient populations.

Trial registration: ClinicalTrials.gov NCT03296202; https://ichgcp.net/clinical-trials-registry/NCT03296202 (Archived by WebCite at http://www.webcitation.org/6zgOBArps).

Registered report identifier: RR1-10.2196/9439.

Keywords: HIV; health-related quality of life; patient-centered care; patient-generated health data; patient-reported outcomes.

Conflict of interest statement

Conflicts of Interest: DB has received a speaking fee from Gilead. FB declares to have received reimbursement for attending a symposium from ViiV Healthcare, Gilead, Bristol-Myers Squib, Merck and Janssen; speaking fee and consultancy fee from ViiV Healthcare, Gilead, Bristol-Myers Squib, Merck and Janssen; and funds for research from Gilead and ViiV Healthcare. The other authors do not have any conflicts of interest to declare.

©Diana Barger, Olivier Leleux, Valérie Conte, Vincent Sapparrart, Marie Gapillout, Isabelle Crespel, Marie Erramouspe, Sandrine Delveaux, Francois Dabis, Fabrice Bonnet. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 07.06.2018.

Figures

Figure 1
Figure 1
Integration of the QuAliV patient portal in the ANRS CO3 Aquitaine Cohort.
Figure 2
Figure 2
Hypothesized change to clinical decision making resulting from use of the ePRO system, adapted from Greenhalgh et al.

References

    1. Mocroft A, Vella S, Benfield TL, Chiesi A, Miller V, Gargalianos P, d'Arminio Monforte A, Yust I, Bruun JN, Phillips AN, Lundgren JD. Changing patterns of mortality across Europe in patients infected with HIV-1. EuroSIDA Study Group. Lancet. 1998 Nov 28;352(9142):1725–30.
    1. Antiretroviral Therapy Cohort Collaboration Survival of HIV-positive patients starting antiretroviral therapy between 1996 and 2013: a collaborative analysis of cohort studies. Lancet HIV. 2017 Aug;4(8):e349–56. doi: 10.1016/S2352-3018(17)30066-8.
    1. Gardner EM, McLees MP, Steiner JF, Del Rio C, Burman WJ. The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clin Infect Dis. 2011 Mar 15;52(6):793–800. doi: 10.1093/cid/ciq243.
    1. Joint United Nations Programme on HIV/AIDS (UNAIDS) 2014. Oct, 90-90-90 - An ambitious treatment target to help end the AIDS epidemic .
    1. Lazarus JV, Safreed-Harmon K, Barton SE, Costagliola D, Dedes N, Del Amo Valero J, Gatell JM, Baptista-Leite R, Mendão L, Porter K, Vella S, Rockstroh JK. Beyond viral suppression of HIV - the new quality of life frontier. BMC Med. 2016 Jun 22;14(1):94. doi: 10.1186/s12916-016-0640-4.
    1. Ministère de la Santé et des Sports, Rapport 2013 Cns.sante. 2013. Prise en charge medicale des personnes vivant avec le VIH: Recommandations du groupe d'experts [HIV care - expert panel recommendations]
    1. Snyder CF, Aaronson NK, Choucair AK, Elliott TE, Greenhalgh J, Halyard MY, Hess R, Miller DM, Reeve BB, Santana M. Implementing patient-reported outcomes assessment in clinical practice: a review of the options and considerations. Qual Life Res. 2012 Oct;21(8):1305–14. doi: 10.1007/s11136-011-0054-x.
    1. Marshall S, Haywood K, Fitzpatrick R. Impact of patient-reported outcome measures on routine practice: a structured review. J Eval Clin Pract. 2006 Oct;12(5):559–68. doi: 10.1111/j.1365-2753.2006.00650.x.
    1. Valderas JM, Kotzeva A, Espallargues M, Guyatt G, Ferrans CE, Halyard MY, Revicki DA, Symonds T, Parada A, Alonso J. The impact of measuring patient-reported outcomes in clinical practice: a systematic review of the literature. Qual Life Res. 2008 Mar;17(2):179–93. doi: 10.1007/s11136-007-9295-0.
    1. Greenhalgh J. The applications of PROs in clinical practice: what are they, do they work, and why? Qual Life Res. 2009 Feb;18(1):115–23. doi: 10.1007/s11136-008-9430-6.
    1. Devlin NJ, Appleby J. The Kings Fund. 2010. Getting the Most Out of PROMs: Putting Health Outcomes at the Heart of NHS Decision-Making .
    1. Ackerley SJ, Gordon HJ, Elston AF, Crawford LM, McPherson KM. Assessment of quality of life and participation within an outpatient rehabilitation setting. Disabil Rehabil. 2009;31(11):906–13. doi: 10.1080/09638280802356419.
    1. Masskulpan P, Riewthong K, Dajpratham P, Kuptniratsaikul V. Anxiety and depressive symptoms after stroke in 9 rehabilitation centers. J Med Assoc Thai. 2008 Oct;91(10):1595–602.
    1. Rose M, Bezjak A. Logistics of collecting patient-reported outcomes (PROs) in clinical practice: an overview and practical examples. Qual Life Res. 2009 Feb;18(1):125–36. doi: 10.1007/s11136-008-9436-0.
    1. Greenhalgh J, Long AF, Flynn R. The use of patient reported outcome measures in routine clinical practice: lack of impact or lack of theory? Soc Sci Med. 2005 Feb;60(4):833–43. doi: 10.1016/j.socscimed.2004.06.022.
    1. Basch E. Patient-reported outcomes - harnessing patients' voices to improve clinical care. N Engl J Med. 2017 Jan 12;376(2):105–108. doi: 10.1056/NEJMp1611252.
    1. Cox CE, Wysham NG, Kamal AH, Jones DM, Cass B, Tobin M, White DB, Kahn JM, Hough CL, Carson SS. Usability testing of an electronic patient-reported outcome system for survivors of critical illness. Am J Crit Care. 2016 Jul;25(4):340–9. doi: 10.4037/ajcc2016952.
    1. Crane HM, Lober W, Webster E, Harrington RD, Crane PK, Davis TE, Kitahata MM. Routine collection of patient-reported outcomes in an HIV clinic setting: the first 100 patients. Curr HIV Res. 2007 Jan;5(1):109–18.
    1. Kozak MS, Mugavero MJ, Ye J, Aban I, Lawrence ST, Nevin CR, Raper JL, McCullumsmith C, Schumacher JE, Crane HM, Kitahata MM, Saag MS, Willig JH. Patient reported outcomes in routine care: advancing data capture for HIV cohort research. Clin Infect Dis. 2012 Jan 01;54(1):141–7. doi: 10.1093/cid/cir727.
    1. Lawrence ST, Willig JH, Crane HM, Ye J, Aban I, Lober W, Nevin CR, Batey DS, Mugavero MJ, McCullumsmith C, Wright C, Kitahata M, Raper JL, Saag MS, Schumacher JE. Routine, self-administered, touch-screen, computer-based suicidal ideation assessment linked to automated response team notification in an HIV primary care setting. Clin Infect Dis. 2010 Apr 15;50(8):1165–73. doi: 10.1086/651420.
    1. Labbe E, Blanquet M, Gerbaud L, Poirier G, Sass C, Vendittelli F, Moulin JJ. A new reliable index to measure individual deprivation: the EPICES score. Eur J Public Health. 2015 Aug 12;25(4):604–9. doi: 10.1093/eurpub/cku231.
    1. O'Connell KA, Skevington SM. An international quality of life instrument to assess wellbeing in adults who are HIV-positive: a short form of the WHOQOL-HIV (31 items) AIDS Behav. 2012 Feb;16(2):452–60. doi: 10.1007/s10461-010-9863-0.
    1. Tran V, Montori VM, Eton DT, Baruch D, Falissard B, Ravaud P. Development and description of measurement properties of an instrument to assess treatment burden among patients with multiple chronic conditions. BMC Med. 2012 Jul 04;10:68. doi: 10.1186/1741-7015-10-68.
    1. Dawson DA, Grant BF, Stinson FS, Zhou Y. Effectiveness of the derived Alcohol Use Disorders Identification Test (AUDIT-C) in screening for alcohol use disorders and risk drinking in the US general population. Alcohol Clin Exp Res. 2005 May;29(5):844–54.
    1. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606–13.
    1. Coons SJ, Gwaltney CJ, Hays RD, Lundy JJ, Sloan JA, Revicki DA, Lenderking WR, Cella D, Basch E, ISPOR ePRO Task Force Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome (PRO) measures: ISPOR ePRO Good Research Practices Task Force report. Value Health. 2009 Jun;12(4):419–29. doi: 10.1111/j.1524-4733.2008.00470.x.
    1. Nielsen J. Nielsen Norman Group. 2012. Jan 04, Usability 101: Introduction to Usability
    1. US Department of Health & Human Services What and why of usability
    1. Nielsen J, Molich R. Heuristic evaluation of user interfaces. CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; SIGCHI Conference on Human Factors in Computing Systems; April 1-5, 1990; Seattle, Washington, USA. 1990. Apr 01, pp. 249–56.

Source: PubMed

3
Abonner