Risk Factors for Suboptimal Adherence Identified by Patient-Reported Outcomes Assessments in Routine HIV Care at 2 North American Clinics

References

• Arts EJ, Hazuda DJ. HIV-1 antiretroviral drug therapy. Cold Spring Harb Perspect Med. 2012;2(4):a007161. doi:10.1101/cshperspect.a007161
   PubMed Web of Science ®Google Scholar
• Altice F, Evuarherhe O, Shina S, Carter G, Beaubrun AC. Adherence to HIV treatment regimens: systematic literature review and meta-analysis. Patient Prefer Adherence. 2019;13:475–490. doi:10.2147/PPA.S192735
   PubMed Web of Science ®Google Scholar
• Bezabhe WM, Chalmers L, Bereznicki LR, Peterson GM. Adherence to antiretroviral therapy and virologic failure: a meta-analysis. Medicine. 2016;95(15):e3361. doi:10.1097/MD.0000000000003361
   PubMed Web of Science ®Google Scholar
• Billoro BB, Mamo G, Jarso H. Adherence to antiretroviral therapy and associated factors among HIV infected patients in Nigist Eleni Mohammed Memorial General Hospital, Hossana, Southern Ethiopia. J AIDS Clin Res. 2018;9(8):774.
   Google Scholar
• Joseph B, Kerr T, Puskas CM, Montaner J, Wood E, Milloy M-J. Factors linked to transitions in adherence to antiretroviral therapy among HIV-infected illicit drug users in a Canadian setting. AIDS Care. 2015;27(9):1128–1136. doi:10.1080/09540121.2015.1032205
   PubMed Web of Science ®Google Scholar
• Lee WK, Milloy MJS, Nosova E, Walsh J, Kerr T. Predictors of antiretroviral adherence self-efficacy among people living with HIV/AIDS in a Canadian setting. J Acquir Immune Defic Syndr. 2019;80(1):103–109. doi:10.1097/QAI.0000000000001878
   PubMed Web of Science ®Google Scholar
• Carvalho PP, Barroso SM, Coelho HC, Rodrigues de Oliveira Penaforte F. Factors associated with antiretroviral therapy adherence in adults: an integrative review of literature. Cien Saude Colet. 2019;24(7):2543–2555. doi:10.1590/1413-81232018247.22312017
   PubMed Web of Science ®Google Scholar
• Suri S, Yoong D, Short D, et al. Feasibility of implementing a same-day electronic screening tool for clinical assessment to measure patient-reported outcomes for eliciting actionable information on adherence to HIV medication and related factors in a busy Canadian urban HIV clinic. Int J STD AIDS. 2021;2021:9564624211032796.
   Google Scholar
• Crane HM, Crane PK, Tufano JT, et al. HIV provider documentation and actions following patient reports of at-risk behaviors and conditions when identified by a web-based point-of-care assessment. AIDS Behav. 2017;21(11):3111–3121. doi:10.1007/s10461-017-1718-5
   PubMed Web of Science ®Google Scholar
• Crane HM, Lober W, Webster E, et al. Routine collection of patient-reported outcomes in an HIV clinic setting: the first 100 patients. Curr HIV Res. 2007;5(1):109–118. doi:10.2174/157016207779316369
   PubMed Web of Science ®Google Scholar
• Fredericksen RJ, Tufano J, Ralston J, et al. Provider perceptions of the value of same-day, electronic patient-reported measures for use in clinical HIV care. AIDS Care. 2016;28(11):1428–1433. doi:10.1080/09540121.2016.1189501
   PubMed Web of Science ®Google Scholar
• Høgh Kølbæk Kjær AS, Rasmussen TA, Hjollund NH, Rodkjaer LO, Storgaard M. Patient-reported outcomes in daily clinical practise in HIV outpatient care. Int J Infect Dis. 2018;69:108–114. doi:10.1016/j.ijid.2018.02.015
   PubMed Web of Science ®Google Scholar
• Short D, Fredericksen RJ, Crane HM, et al. Utility and impact of the implementation of same-day, self-administered electronic patient-reported outcomes assessments in routine HIV care in two North American clinics. AIDS Behav. 2022;26(7):2409–2424. doi:10.1007/s10461-022-03585-w
   PubMed Web of Science ®Google Scholar
• Sinha N, Yang A, Pradeep A, et al. Feasibility and acceptability of a psychosocial and adherence electronic patient reported outcomes (PROs) system at an HIV care center in southern India. AIDS Care. 2020;32(5):630–636. doi:10.1080/09540121.2019.1668532
   PubMed Web of Science ®Google Scholar
• Kozak MS, Mugavero MJ, Ye J, et al. Patient reported outcomes in routine care: advancing data capture for HIV cohort research. Clin Infect Dis. 2012;54(1):141–147. doi:10.1093/cid/cir727
   PubMed Web of Science ®Google Scholar
• Walsh JC, Mandalia S, Gazzard BG. Responses to a 1 month self-report on adherence to antiretroviral therapy are consistent with electronic data and virological treatment outcome. AIDS. 2002;16(2):269–277. doi:10.1097/00002030-200201250-00017
   PubMed Web of Science ®Google Scholar
• Holmes WC, Shea JA. A new HIV/AIDS-targeted quality of life (HAT-QoL) instrument: development, reliability, and validity. Med Care. 1998;36(2):138–154. doi:10.1097/00005650-199802000-00004
   PubMed Web of Science ®Google Scholar
• Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613. doi:10.1046/j.1525-1497.2001.016009606.x
   PubMed Web of Science ®Google Scholar
• Spitzer RL, Kroenke K, Williams JB. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary care evaluation of mental disorders. Patient health questionnaire. JAMA. 1999;282(18):1737–1744. doi:10.1001/jama.282.18.1737
   PubMed Web of Science ®Google Scholar
• Fitzsimmons E, Loo S, Dougherty S, et al. Development and content validation of the IPV-4, a brief patient-reported measure of intimate partner violence for use in HIV care. Poster presented at: 26th Annual Conference of International Society for Quality of Life Research; October 20–23, 2019; San Diego, CA.
   Google Scholar
• Laporte M, Keller HH, Payette H, et al. Validity and reliability of the new Canadian Nutrition Screening Tool in the ‘real-world’ hospital setting. Eur J Clin Nutr. 2015;69(5):558–564. doi:10.1038/ejcn.2014.270
   PubMed Web of Science ®Google Scholar
• Cropsey KL, Willig JH, Mugavero MJ, et al. Cigarette smokers are less likely to have undetectable viral loads: results from four HIV clinics. J Addict Med. 2016;10(1):13–19. doi:10.1097/ADM.0000000000000172
   PubMed Web of Science ®Google Scholar
• Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA. The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol use disorders identification test. Arch Intern Med. 1998;158(16):1789–1795. doi:10.1001/archinte.158.16.1789
   PubMed Web of Science ®Google Scholar
• Newcombe DAL, Humeniuk RE, Ali R. Validation of the World Health Organization Alcohol, Smoking and Substance Involvement Screening Test (ASSIST): report of results from the Australian site. Drug Alcohol Rev. 2005;24(3):217–226. doi:10.1080/09595230500170266
   PubMed Web of Science ®Google Scholar
• van Buuren S. Flexible Imputation of Missing Data. 2nd ed. Boca Raton, FL: Chapman & Hall/CRC; 2018.
   Google Scholar
• Harrell FE. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. New York, NY: Springer; 2001.
   Google Scholar
• Primeira MR, Santos WM, Paula CC, Padoin SM. Quality of life, adherence and clinical indicators among people living with HIV. Acta Paul Enferm. 2020;33:eAPE20190141. doi:10.37689/acta-ape/2020AO0141
   Web of Science ®Google Scholar
• Boretzki J, Wolf E, Wiese C, et al. Highly specific reasons for nonadherence to antiretroviral therapy: results from the German adherence study. Patient Prefer Adherence. 2017;11:1897–1906. doi:10.2147/PPA.S141762
   PubMed Web of Science ®Google Scholar
• Koehn K, McLinden T, Collins AB, et al. Assessing the impact of food insecurity on HIV medication adherence in the context of an integrated care programme for people living with HIV in Vancouver, Canada. Public Health Nutr. 2020;23(4):683–690. doi:10.1017/S1368980019002532
   PubMed Web of Science ®Google Scholar
• O’Neil CR, Palmer AK, Coulter S, et al. Factors associated with antiretroviral medication adherence among HIV-positive adults accessing highly active antiretroviral therapy (HAART) in British Columbia, Canada. J Int Assoc Physicians AIDS Care. 2012;11(2):134–141. doi:10.1177/1545109711423976
   Google Scholar
• University of Calgary: Centre for Health Informatics Alberta Real-World Evidence Consortium [homepage on the Internet]. Retrospective database analysis to estimate adherence rates in PLHIV in Canada; 2020. Available from: https://cumming.ucalgary.ca/sites/default/files/teams/30/publications/Parexel%20_Canada_HIVAdherence_Report_Final_05DEC2020.pdf. Accessed May 9, 2022.
   Google Scholar
• Farr AM, Johnston SS, Ritchings C, Brouillette M, Rosenblatt L. Persistence, adherence, and all-cause healthcare costs in atazanavir- and darunavir-treated patients with human immunodeficiency virus in a real-world setting. J Med Econ. 2016;19(4):386–396. doi:10.3111/13696998.2015.1128942
   PubMed Web of Science ®Google Scholar
• McComsey GA, Lingohr-Smith M, Rogers R, Lin J, Donga P. Real-world adherence to antiretroviral therapy among HIV-1 patients across the United States. Adv Ther. 2021;38(9):4961–4974. doi:10.1007/s12325-021-01883-8
   PubMed Web of Science ®Google Scholar
• Paterson DL, Swindells S, Mohr J, et al. Adherence to protease inhibitor therapy and outcomes in patients with HIV infection. Ann Intern Med. 2000;133(1):21–30. doi:10.7326/0003-4819-133-1-200007040-00004
   PubMed Web of Science ®Google Scholar
• Byrd KK, Hou JG, Hazen R, et al. Antiretroviral adherence level necessary for HIV viral suppression using real-world data. J Acquir Immune Defic Syndr. 2019;82(3):245–251. doi:10.1097/QAI.0000000000002142
   PubMed Web of Science ®Google Scholar
• Anghel LA, Farcas AM, Oprean RN. An overview of the common methods used to measure treatment adherence. Med Pharm Rep. 2019;92(2):117–122. doi:10.15386/mpr-1201
   PubMedGoogle Scholar