Assessing the Content Validity of a New Patient-Reported Measure of Barriers to Antiretroviral Therapy Adherence for Electronic Administration in Routine HIV Care: Proposal for a Web-Based Delphi Study

Kim Engler, Sara Ahmed, David Lessard, Serge Vicente, Bertrand Lebouché, Kim Engler, Sara Ahmed, David Lessard, Serge Vicente, Bertrand Lebouché

Abstract

Background: Adherence to lifesaving antiretroviral therapy (ART) for HIV infection remains a challenge for many patients. Routine screening for barriers to ART adherence could help make HIV care more patient-centered and prevent virologic rebound or failure. Our team is currently developing a new HIV-specific patient-reported outcome measure (PROM) of these barriers for use in Canada and France along with a digital app for its electronic administration. In our previous work, we developed the PROM's multidimensional conceptual framework and generated 100 English items, which have been translated to French.

Objective: This study aims to use a Web-based Delphi to help validate and select the content of this new HIV-specific PROM, based on the perspective of anglophone and francophone patients and providers in Canada and France. Here, we present the proposal for this Delphi.

Methods: This modified Delphi will involve a diverse panel of patients (n=32) and providers (n=52) recruited especially from the 9 sites of the PROM development study (site locations in Canada: Montreal, Toronto, Vancouver; in France: Paris, Nantes, Clermont-Ferrand, Saint-Martin, Cayenne). Overall, 2 rounds of Web-based questionnaires will be conducted. The threshold for consensus is set at 60% and will determine which items are carried forward to the second round. Per item, 3 aspects will be rated: importance as a barrier to ART adherence, relevance for HIV care, and clarity. In both rounds, space will be available for free text comments. Overall comprehensiveness will be assessed in the second round.

Results: This study has undergone a methodological review by experts in patient-oriented research. It has received approval from a research ethics board of the McGill University Health Centre. It is financially supported, in part, by the Canadian Institutes of Health Research's Strategy for Patient-Oriented Research-Quebec Support Unit (M006). As of May 21, 2019, 15 people living with HIV and 25 providers completed the first round of the Delphi (24 from Canada and 16 from France).

Conclusions: To our knowledge, this is the first Delphi to seek consensus on the most relevant and clinically actionable barriers to ART adherence, collecting opinions on an extensive list of barriers. Drawing on a relatively large and diverse panel of HIV patients and providers, it essentially engages key stakeholders in decision making about the PROM's final content, helping to ensure its utility and adoption.

International registered report identifier (irrid): PRR1-10.2196/12836.

Keywords: Canada; Delphi technique; France; HIV; antiretroviral therapy, highly active; medication adherence; patient-reported outcome measure; stakeholder participation.

Conflict of interest statement

Conflicts of Interest: None declared.

©Kim Engler, Sara Ahmed, David Lessard, Serge Vicente, Bertrand Lebouché. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 02.08.2019.

Figures

Figure 1
Figure 1
The patient-reported outcome measure’s conceptual framework of barriers to antiretroviral therapy adherence (revised from Engler et al, 2018, following the item generation and translation processes). ART: antiretroviral therapy.

References

    1. Fredericksen RJ, Edwards TC, Merlin JS, Gibbons LE, Rao D, Batey DS, Dant L, Páez E, Church A, Crane PK, Crane HM, Patrick DL. Patient and provider priorities for self-reported domains of HIV clinical care. AIDS Care. 2015;27(10):1255–64. doi: 10.1080/09540121.2015.1050983.
    1. Shubber Z, Mills EJ, Nachega JB, Vreeman R, Freitas M, Bock P, Nsanzimana S, Penazzato M, Appolo T, Doherty M, Ford N. Patient-reported barriers to adherence to antiretroviral therapy: a systematic review and meta-analysis. PLoS Med. 2016 Nov;13(11):e1002183. doi: 10.1371/journal.pmed.1002183.
    1. Ortego C, Huedo-Medina TB, Llorca J, Sevilla L, Santos P, Rodríguez E, Warren MR, Vejo J. Adherence to highly active antiretroviral therapy (HAART): a meta-analysis. AIDS Behav. 2011 Oct;15(7):1381–96. doi: 10.1007/s10461-011-9942-x.
    1. AIDS Info. 2018. Guidelines for the Use of Antiretroviral Agents in Adults and Adolescents with HIV .
    1. Genberg BL, Lee Y, Rogers WH, Wilson IB. Four types of barriers to adherence of antiretroviral therapy are associated with decreased adherence over time. AIDS Behav. 2015 Jan;19(1):85–92. doi: 10.1007/s10461-014-0775-2.
    1. Barfod TS, Hecht FM, Rubow C, Gerstoft J. Physicians' communication with patients about adherence to HIV medication in San Francisco and Copenhagen: a qualitative study using grounded theory. BMC Health Serv Res. 2006 Dec 4;6:154. doi: 10.1186/1472-6963-6-154.
    1. Laws MB, Beach MC, Lee Y, Rogers WH, Saha S, Korthuis PT, Sharp V, Wilson IB. Provider-patient adherence dialogue in HIV care: results of a multisite study. AIDS Behav. 2013 Jan;17(1):148–59. doi: 10.1007/s10461-012-0143-z.
    1. Fredericksen R, Crane PK, Tufano J, Ralston J, Schmidt S, Brown T, Layman D, Harrington RD, Dhanireddy S, Stone T, Lober W, Kitahata MM, Crane HM. Integrating a web-based, patient-administered assessment into primary care for HIV-infected adults. J AIDS HIV Res. 2012 Feb;4(2):47–55.
    1. Phillips LA, Leventhal EA, Leventhal H. Factors associated with the accuracy of physicians' predictions of patient adherence. Patient Educ Couns. 2011;85(3):461–7. doi: 10.1016/j.pec.2011.03.012.
    1. Weldring T, Smith SM. Patient-reported outcomes (PROs) and patient-reported outcome measures (PROMs) Health Serv Insights. 2013;6:61–8. doi: 10.4137/HSI.S11093.
    1. Francis DO, McPheeters ML, Noud M, Penson DF, Feurer ID. Checklist to operationalize measurement characteristics of patient-reported outcome measures. Syst Rev. 2016 Dec 2;5(1):129. doi: 10.1186/s13643-016-0307-4.
    1. Engler K, Lènàrt A, Lessard D, Toupin I, Lebouché B. Barriers to antiretroviral therapy adherence in developed countries: a qualitative synthesis to develop a conceptual framework for a new patient-reported outcome measure. AIDS Care. 2018;30(Sup1):17–28. doi: 10.1080/09540121.2018.1469725. .
    1. World Health Organization. 2003. Adherence to Long-Term Therapies: Evidence for Action
    1. Streiner DL, Norman GR, Cairney J. Health Measurement Scales: A Practical Guide to Their Development and Use, 5th Edition. Oxford: Oxford University Press; 2015.
    1. Engler K, Lessard D, Lebouché B. A review of HIV-specific patient-reported outcome measures. Patient. 2017;10(2):187–202. doi: 10.1007/s40271-016-0195-7.
    1. Wild D, Grove A, Martin M, Eremenco S, McElroy S, Verjee-Lorenz A, Erikson P, ISPOR Task Force for Translation and Cultural Adaptation Principles of good practice for the translation and cultural adaptation process for patient-reported outcomes (PRO) measures: report of the ISPOR task force for translation and cultural adaptation. Value Health. 2005;8(2):94–104. doi: 10.1111/j.1524-4733.2005.04054.x.
    1. Kwan BM, Sills MR, Graham D, Hamer MK, Fairclough DL, Hammermeister KE, Kaiser A, de Jesus DP, Schilling LM. Stakeholder engagement in a patient-reported outcomes (PRO) measure implementation: a report from the SAFTINet practice-based research network (PBRN) J Am Board Fam Med. 2016;29(1):102–15. doi: 10.3122/jabfm.2016.01.150141.
    1. Ahmed S, Ware P, Gardner W, Witter J, Bingham CO, Kairy D, Bartlett SJ. Montreal accord on patient-reported outcomes (PROs) use series - paper 8: patient-reported outcomes in electronic health records can inform clinical and policy decisions. J Clin Epidemiol. 2017 Sep;89:160–7. doi: 10.1016/j.jclinepi.2017.04.011.
    1. Kroenke K, Monahan PO, Kean J. Pragmatic characteristics of patient-reported outcome measures are important for use in clinical practice. J Clin Epidemiol. 2015 Sep;68(9):1085–92. doi: 10.1016/j.jclinepi.2015.03.023.
    1. Terwee CB, Prinsen CA, Chiarotto A, Westerman MJ, Patrick DL, Alonso J, Bouter LM, de Vet HC, Mokkink LB. COSMIN methodology for evaluating the content validity of patient-reported outcome measures: a Delphi study. Qual Life Res. 2018 May;27(5):1159–70. doi: 10.1007/s11136-018-1829-0.
    1. Reeve BB, Wyrwich KW, Wu AW, Velikova G, Terwee CB, Snyder CF, Schwartz C, Revicki DA, Moinpour CM, McLeod LD, Lyons JC, Lenderking WR, Hinds PS, Hays RD, Greenhalgh J, Gershon R, Feeny D, Fayers PM, Cella D, Brundage M, Ahmed S, Aaronson NK, Butt Z. ISOQOL recommends minimum standards for patient-reported outcome measures used in patient-centered outcomes and comparative effectiveness research. Qual Life Res. 2013 Oct;22(8):1889–905. doi: 10.1007/s11136-012-0344-y.
    1. Engler K, Lessard D, Toupin I, Lènàrt A, Lebouché B. Engaging stakeholders into an electronic patient-reported outcome development study: on making an HIV-specific e-PRO patient-centered. Health Policy Technol. 2017 Mar;6(1):59–66. doi: 10.1016/j.hlpt.2016.11.002.
    1. Toupin I, Engler K, Lessard D, Wong L, Lènàrt A, Spire B, Raffi F, Lebouché B. Developing a patient-reported outcome measure for HIV care on perceived barriers to antiretroviral adherence: assessing the needs of HIV clinicians through qualitative analysis. Qual Life Res. 2018;27(2):379–88. doi: 10.1007/s11136-017-1711-5.
    1. Hasson F, Keeney S, McKenna H. Research guidelines for the Delphi survey technique. J Adv Nurs. 2000 Oct;32(4):1008–15. doi: 10.1046/j.1365-2648.2000.t01-1-01567.x.
    1. Hatcher T, Colton S. Using the internet to improve HRD research: the case of the web-based Delphi research technique to achieve content validity of an HRD-oriented measurement. J Eur Ind Train. 2007 Sep 4;31(7):570–87. doi: 10.1108/03090590710820060.
    1. McKenna HP. The Delphi technique: a worthwhile research approach for nursing? J Adv Nurs. 1994 Jun;19(6):1221–5. doi: 10.1111/j.1365-2648.1994.tb01207.x.
    1. Keeney S, McKenna H, Hasson F. The Delphi Technique in Nursing and Health Research. Chichester, West Sussex: Wiley-Blackwell; 2011.
    1. Sinha IP, Smyth RL, Williamson PR. Using the Delphi technique to determine which outcomes to measure in clinical trials: recommendations for the future based on a systematic review of existing studies. PLoS Med. 2011 Jan 25;8(1):e1000393. doi: 10.1371/journal.pmed.1000393.
    1. Mosack KE, Wandrey RL. Discordance in HIV-positive patient and health care provider perspectives on death, dying, and end-of-life care. Am J Hosp Palliat Care. 2015 Mar;32(2):161–7. doi: 10.1177/1049909113515068.
    1. Yelverton V, Ostermann J, Hobbie A, Madut D, Thielman N. A mixed methods approach to understanding antiretroviral treatment preferences: what do patients really want? AIDS Patient Care STDS. 2018 Dec;32(9):340–8. doi: 10.1089/apc.2018.0099.
    1. Granja C, Janssen W, Johansen MA. Factors determining the success and failure of eHealth interventions: systematic review of the literature. J Med Internet Res. 2018 Dec 1;20(5):e10235. doi: 10.2196/10235.
    1. Hsu CC, Sandford BA. Practical Assessment, Research & Evaluation. 2007. The Delphi Technique: Making Sense Of Consensus .
    1. Skulmoski GJ, Hartman FT, Krahn J. The Delphi method for graduate research. J Info Technol Educ. 2007;6:1–21. doi: 10.28945/199.
    1. Polit DF, Beck CT, Owen SV. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Res Nurs Health. 2007 Aug;30(4):459–67. doi: 10.1002/nur.20199.
    1. Etikan I, Musa SA, Alkassim RS. Comparison of convenience sampling and purposive sampling. Am J Theor Appl Stat. 2016;5(1):1–4. doi: 10.11648/j.ajtas.20160501.11.
    1. Loutfy MR, Kennedy L, Mohammed S, Wu W, Muchenje M, Masinde K, Salam K, Soje L, Gregorovich S, Tharao W. Recruitment of HIV-positive women in research: discussing barriers, facilitators, and research personnel's knowledge. Open AIDS J. 2014;8:58–65. doi: 10.2174/1874613601408010058.
    1. Public Health Agency of Canada Government of Canada. Summary: Estimates of HIV incidence, prevalence and Canada’s progress on meeting the 90-90-90 HIV targets, 2016 .
    1. UNAIDS. 2017. Country Fact Sheets-France 2017 .
    1. Johnson MO, Koester KA, Wood T, Neilands TB, Pomeranz JL, Christopoulos KA. Development of an index of engagement in HIV care: an adapted internet-based Delphi process. JMIR Res Protoc. 2017 Dec 5;6(12):e224. doi: 10.2196/resprot.8520.
    1. Sowell RL. Identifying HIV/AIDS research priorities for the next millennium: a Delphi study with nurses in AIDS care. J Assoc Nurses AIDS Care. 2000;11(3):42–52. doi: 10.1016/S1055-3290(06)60275-6.
    1. Ledgister K, Fleming-Castaldy RP. The perceptions of persons living with human immunodeficiency virus/acquired immune deficiency syndrome about their experiences in regaining productive occupations: a Delphi study. Occup Ther Ment Health. 2017 Jul 17;33(3):235–58. doi: 10.1080/0164212X.2017.1311241.
    1. Powell C. The Delphi technique: myths and realities. J Adv Nurs. 2003 Feb;41(4):376–82. doi: 10.1046/j.1365-2648.2003.02537.x.
    1. von der Gracht HA. Consensus measurement in Delphi studies: review and implications for future quality assurance. Technol Forecast Soc Change. 2012 Oct;79(8):1525–36. doi: 10.1016/j.techfore.2012.04.013.
    1. Elo S, Kyngäs H. The qualitative content analysis process. J Adv Nurs. 2008 Apr;62(1):107–15. doi: 10.1111/j.1365-2648.2007.04569.x.
    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 1;54(1):141–7. doi: 10.1093/cid/cir727.
    1. Barger D, Leleux O, Conte V, Sapparrart V, Gapillout M, Crespel I, Erramouspe M, Delveaux S, Dabis F, Bonnet F. 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. JMIR Res Protoc. 2018 Jun 7;7(6):e147. doi: 10.2196/resprot.9439.
    1. Santana MJ, Feeny D. Framework to assess the effects of using patient-reported outcome measures in chronic care management. Qual Life Res. 2014 Jun;23(5):1505–13. doi: 10.1007/s11136-013-0596-1.

Source: PubMed

3
購読する