Willingness to trade-off years of life for an HIV cure - an experimental exploration of affective forecasting.

Ilona Fridman, Nir Eyal, Karen A Scherr, Judith S Currier, Kenneth A Freedberg, Scott D Halpern, Daniel R Kuritzkes, Monica Magalhaes, Kathryn I Pollak, Peter A Ubel
Author Information
  1. Ilona Fridman: Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, Chapel Hill, 450 West Dr, NC, 27599, USA. Ilona_fridman@med.unc.edu.
  2. Nir Eyal: School of Public Health, and Philosophy, Rutgers University Institute for Health, 112 Paterson St, NJ, 08901, USA.
  3. Karen A Scherr: Department of Family Medicine and Community Health, Duke School of Medicine, 2301 Erwin Rd, Durham, 27710, NC, USA.
  4. Judith S Currier: Department of Medicine, University of California Los Angeles, 911 Broxton Ave, Suite 30, Los Angeles, CA, 90095, USA.
  5. Kenneth A Freedberg: Medical Practice Evaluation Center, Divisions of General Internal Medicine and Infectious Diseases, Massachusetts General Hospital, 100 Cambridge St, Suite 1600, Boston, MA, 02115, USA.
  6. Scott D Halpern: Departments of Medicine, Medical Ethics and Health Policy, and Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA.
  7. Daniel R Kuritzkes: Division of Infectious Diseases Brigham and Women's Hospital, Harvard Medical School, 65 Landsdowne St, Rm 449, Cambridge, MA, 02139, USA.
  8. Monica Magalhaes: Rutgers University Institute for Health, 112 Paterson Street, New Brunswick, NJ, 08901, USA.
  9. Kathryn I Pollak: Cancer Control and Population Sciences in the Duke Cancer Institute, 2424 Erwin Road, Suite 602, Durham, NC, 27705, USA.
  10. Peter A Ubel: Department of Population Health Science, Fuqua School of Business, School of Medicine, Sanford School of Public Policy, Duke University, 100 Fuqua Drive., Durham, NC, 27708, USA.

Abstract

BACKGROUND: In the US, 1.2 million people live with HIV (PWH). Despite having near-normal life expectancies due to antiretroviral therapy (ART), many PWH seek an HIV cure, even if it means risking their lives. This willingness to take risks for a cure raises questions about "affective forecasting biases," where people tend to overestimate the positive impact of future events on their well-being. We conducted a study to test two interventions to mitigate affective forecasting in the decisions of PWH about taking HIV cure medication.
METHODS: We recruited PWH to complete a 30-minute survey about their current quality of life (QoL) and the QoL they anticipate after being cured of HIV, and assigned them to either no additional intervention, to one of two interventions intended to reduce affective forecasting bias, or to both interventions: (1) a defocusing intervention designed to broaden the number of life domains people consider when imagining life changes associated with new circumstances (e.g. HIV cure); and (2) an adaptation intervention to help them gauge fading of strong emotions over time. The study design included a 2��������2 design: defocusing (yes/no) x adaptation (yes/no) intervention. We assessed PWH's willingness to take hypothetical HIV sterilizing cure medication using the Time Trade-Off (TTO) and their quality of life predictions with WHOQOL-HIV.
RESULTS: 296 PWH participated. Counter to what we had hypothesized, neither intervention significantly reduced PWH's willingness to trade time for a cure. Instead, the defocusing intervention increased their willingness to trade time (IRR 1.77, p���=���0.03). Exploratory analysis revealed that PWH with lower current quality of life who received the defocusing intervention were more willing to trade time for a cure.
CONCLUSION: These negative findings suggest that either these biases are difficult to overcome in the settings of HIV curative medication or other factors beyond affective forecasting biases influence willingness to participate in HIV curative studies, such as respondents' current quality of life.

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Grants

  1. R01 AI042006/NIAID NIH HHS
  2. UM1 AI069424/NIAID NIH HHS
  3. R01AI042006/National Institute of Allergy and Infectious Diseases

MeSH Term

Humans
Quality of Life
HIV Infections
Male
Female
Adult
Middle Aged
Surveys and Questionnaires
Forecasting
Life Expectancy
Anti-HIV Agents

Chemicals

Anti-HIV Agents

Word Cloud

Created with Highcharts 10.0.0HIVlifecureinterventionPWHwillingnessforecastingaffectivequalitydefocusingtime1peoplebiasesmedicationcurrenttradetakestudytwointerventionsQoLeitheradaptationyes/noPWH'scurativeBACKGROUND:US2 millionliveDespitenear-normalexpectanciesdueantiretroviraltherapyARTmanyseekevenmeansriskinglivesrisksraisesquestions"affective"tendoverestimatepositiveimpactfutureeventswell-beingconductedtestmitigatedecisionstakingMETHODS:recruitedcomplete30-minutesurveyanticipatecuredassignedadditionaloneintendedreducebiasinterventions:designedbroadennumberdomainsconsiderimaginingchangesassociatednewcircumstanceseg2helpgaugefadingstrongemotionsdesignincluded2��������2design:xassessedhypotheticalsterilizingusingTimeTrade-OffTTOpredictionsWHOQOL-HIVRESULTS:296participatedCounterhypothesizedneithersignificantlyreducedInsteadincreasedIRR77p���=���003ExploratoryanalysisrevealedlowerreceivedwillingCONCLUSION:negativefindingssuggestdifficultovercomesettingsfactorsbeyondinfluenceparticipatestudiesrespondents'Willingnesstrade-offyears-experimentalexploration

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