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Validation of a New Three-Item Self-Report Measure for Medication Adherence
Open accessAbstract
Few self-report measures of medication adherence have been rigorously developed and validated against electronic drug monitoring (EDM). Assess the validity of the 3-item self-report scale by comparing it with a contemporaneous EDM measure. We conducted an observational study in which adherence assessments were done monthly for up to 4 months for 81 patients with HIV who were taking antiretroviral medications. We report results for both HIV antiretroviral medications, and also for other, non-HIV-related medications. Raw and calibrated self-report adherence measures, electronic drug monitoring adherence measures, and sociodemographic variables. The mean age of patients was 46 years, 37 % were female, 49 % had some education beyond high school, 22 % were Black, and 22 % were Hispanic. Cronbach's alphas for the 3-item scale for HIV and non-HIV medications were 0.83 and 0.87, respectively. The mean differences (raw/uncalibrated self-report scale minus EDM) for HIV and non-HIV medications were 7.5 and 5.2 points on a 100-point scale (p < 0.05 for both). Pearson correlation coefficients between the calibrated 3-item scale and the EDM for HIV and non-HIV medications were 0.47 and 0.59, respectively. The c-statistics for the ROC curves for the calibrated scale, using cut-offs of 0.8 and 0.9 for the EDM gold standard measure to define non-adherence, were between 0.74 and 0.76 for HIV and non-HIV medications. This 3-item adherence self-report scale showed good psychometric characteristics and good construct validity when compared with an EDM standard, for both HIV and non-HIV medications. In clinical care it can be a useful first-stage screener for non-adherence. In clinical research and quality improvement settings it can be a useful tool when more complex and expensive methods such as EDM or pharmacy claims are impractical or unavailable.
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“previous research has shown that SLWH may have difficulties with ART uptake.65–67”
From Evaluation of an integrated treatment to address smoking cessation and anxiety/depressive symptoms among people living with HIV: Study protocol for a randomized controlled trial (2021) · cites this paper as [65]
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Cites
SAUNDERS, J. B., AASLAND, O. G., BABOR, T. F., DE LA FUENTE, J. R., & GRANT, M. (1993) · Addiction · doi:10.1111/j.1360-0443.1993.tb02093.x · Cited by 13,597 · cited 3×
“Twenty-five percent had a score of ten or greater on the PHQ9 (moderate or greater depression), 15 % had an AUDIT score of eight or greater (problem drinking), and 38 % were positive on the seven-item substance abuse scale of the SAMISS (possible alcohol or substance abuse problem).”
MethodSpitzer, R. L. (1999) · JAMA · doi:10.1001/jama.282.18.1737 · Cited by 9,802
Nunnally, J. C., & Bernstein, I. H. (1994) · Cited by 9,325
Osterberg, L., & Blaschke, T. (2005) · New England Journal of Medicine · doi:10.1056/nejmra050100 · Cited by 7,974
Concurrent and Predictive Validity of a Self-reported Measure of Medication Adherence
Morisky, D. E., Green, L. W., & Levine, D. M. (1986) · Medical Care · doi:10.1097/00005650-198601000-00007 · Cited by 5,399
Kirk, J. M. W., MacDonald, A., Lavender, P., Dean, J. M., & Rubin, G. (2017) · Biomedicine Hub · doi:10.1159/000480347 · Cited by 3,902
The assessment of refill compliance using pharmacy records: Methods, validity, and applications
Steiner, J. F., & Prochazka, A. V. (1997) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(96)00268-5 · Cited by 1,198
Lee, K. L., & Mark, D. B. (1996) · Cited by 485
Measurement scales and statistics: Resurgence of an old misconception.
Gaito, J. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.87.3.564 · Cited by 356
Cognitive Processes Used by Survey Respondents to Answer Behavioral Frequency Questions
Blair, E., & Burton, S. (1987) · Journal of Consumer Research · doi:10.1086/209112 · Cited by 337
for the ABC project team, Demonceau, J., Ruppar, T. M., Kristanto, P., Hughes, D. A., Fargher, E., Kardas, P., Geest, S. D., Dobbels, F., Lewek, P., et al. (2013) · Drugs · doi:10.1007/s40265-013-0041-3 · Cited by 321
Shi, L., Liu, J., Koleva, Y. N., Fonseca, V. A., Kalsekar, A., & Pawaskar, M. D. (2010) · PharmacoEconomics · doi:10.2165/11537400-000000000-00000 · Cited by 190
Shi, L., Liu, J., Fonseca, V., Walker, P., Kalsekar, A., & Pawaskar, M. (2010) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-8-99 · Cited by 177
The Effects of Accessibility of Information in Memory on Judgments of Behavioral Frequencies
Menon, G. (1993) · Journal of Consumer Research · doi:10.1086/209359 · Cited by 155
Kalichman, S. C., Amaral, C. M., Cherry, C., Flanagan, J., Pope, H. L., Eaton, L. A., Kalichman, M. O., Cain, D. N., Detorio, M., Caliendo, A. M., et al. (2008) · HIV Clinical Trials · doi:10.1310/hct0905-298 · Cited by 120
Cognitive and Field Testing of a New Set of Medication Adherence Self-Report Items for HIV Care
Wilson, I. B., Fowler, F. J., Cosenza, C. A., Michaud, J., Bentkover, J., Rana, A., Kogelman, L., & Rogers, W. H. (2013) · AIDS and Behavior · doi:10.1007/s10461-013-0610-1 · Cited by 117
Self-citationPatterns of antiretroviral therapy adherence and impact on HIV RNA among patients in North America
Genberg, B. L., Wilson, I. B., Bangsberg, D. R., Arnsten, J. H., Goggin, K., Remien, R. H., Simoni, J. M., Gross, R., Reynolds, N. R., Rosen, M. I., et al. (2012) · AIDS · doi:10.1097/qad.0b013e328354bed6 · Cited by 105
Self-citationDeschamps, A., Geest, S. D., Vandamme, A., Bobbaers, H., Peetermans, W. E., & Wijngaerden, E. V. (2008) · AIDS Patient Care and STDs · doi:10.1089/apc.2007.0229 · Cited by 90
Wilson, I. B., Carter, A. E., & Berg, K. M. (2009) · Current HIV/AIDS Reports · doi:10.1007/s11904-009-0024-x · Cited by 83
Self-citationStudy Product Adherence Measurement in the iPrEx Placebo-Controlled Trial
Amico, K. R., Marcus, J. L., McMahan, V., Liu, A., Koester, K. A., Goicochea, P., Anderson, P. L., Glidden, D. V., Guanira, J. V., & Grant, R. M. (2014) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000000216 · Cited by 82
Understanding Forgiveness: Minding and Mining the Gaps Between Pharmacokinetics and Therapeutics
Osterberg, L. G., Urquhart, J., & Blaschke, T. F. (2010) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2010.171 · Cited by 78
Medical Adherence Research: Time for a Change in Direction?
Kravitz, R. L., & Melnikow, J. A. (2004) · Medical Care · doi:10.1097/01.mlr.0000115957.44388.7c · Cited by 74
Thirumurthy, H., Siripong, N., Vreeman, R., Pop-Eleches, C., Habyarimana, J., Sidle, J. E., Siika, A. M., & Bangsberg, D. R. (2012) · AIDS · doi:10.1097/qad.0b013e328359aa68 · Cited by 62
Pence, B. W., Gaynes, B. N., Whetten, K., Eron, J. J., Ryder, R. W., & Miller, W. C. (2005) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/01.qai.0000177512.30576.9c · Cited by 61
Genberg, B. L., Lee, Y., Rogers, W. H., & Wilson, I. B. (2014) · AIDS and Behavior · doi:10.1007/s10461-014-0775-2 · Cited by 53
Self-citationPatterns of adherence to antiretroviral medications
McNabb, J., Nicolau, D. P., Stoner, J. A., & Ross, J. W. (2003) · AIDS · doi:10.1097/00002030-200308150-00005 · Cited by 52
Editorial Commentary:Adherence to Antiretroviral Therapy: How Much Is Enough?
Gulick, R. M. (2006) · Clinical Infectious Diseases · doi:10.1086/507549 · Cited by 44
Modeling feature perception in brief displays with evidence for positive interdependencies
Townsend, J. T., Hu, G. G., & Evans, R. J. (1984) · Perception & Psychophysics · doi:10.3758/bf03206352 · Cited by 42
Csako, G., McGriff, N. J., Rotman-Pikielny, P., Sarlis, N. J., & Pucino, F. (2001) · Annals of Pharmacotherapy · doi:10.1345/aph.1a031 · Cited by 40
Selective Drug Taking During Combination Antiretroviral Therapy in an Unselected Clinic Population
Gardner, E. M., Burman, W. J., Maravi, M. E., & Davidson, A. J. (2005) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/01.qai.0000182229.84182.06 · Cited by 39
Stages of Change for Adherence to Antiretroviral Medications
Genberg, B. L., Lee, Y., Rogers, W. H., Willey, C. J., & Wilson, I. B. (2013) · AIDS Patient Care and STDs · doi:10.1089/apc.2013.0126 · Cited by 38
Self-citationWilson, I. B., Tchetgen, E. T., & Spiegelman, D. L. (2001) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/00042560-200111010-00009 · Cited by 32
Self-citationFowler, F. J., Lloyd, S. J., Cosenza, C. A., & Wilson, I. B. (2014) · Field Methods · doi:10.1177/1525822x14549921 · Cited by 23
Self-citationHarrell, F., Jr. (1996) · doi:10.1002/(sici)1097-0258(19960229)15:4
Research works printed but not linked: 2
- Rand CS. “I took the medicine like you told me, Doctor”: self-reports of adherence with medical regimens. In: Stone AA, Turkkan JS, Bachrach CA, Jobe JB, Kurtzman HS, Cain VS, editors. The science of self-report: implications for research and practice, vol. 1. Mahwah: Lawrence Erlbaum Associates; 2000. p. 257–76.
- Wendel CS, Mohler MJ, Kroesen K, Ampel NM, Gifford AL, Coons SJ. Barriers to use of electronic adherence monitoring in an HIV clinic. Ann Pharmacother. 2001;35(9):1010–5. · DOI · Paper page
Cited by
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Kwan, Y. H., Weng, S. D., Loh, D. H. F., Phang, J. K., Oo, L. J. Y., Blalock, D. V., Chew, E., Yap, K. Z., Tan, C. Y. K., Yoon, S., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/19179 · Cited by 126
Exploring the Attitude of Patients with HIV About Using Telehealth for HIV Care
Dandachi, D., Dang, B. N., Lucari, B., Teti, M., & Giordano, T. P. (2020) · AIDS Patient Care and STDs · doi:10.1089/apc.2019.0261 · Cited by 88
Cook, R. L., Zhou, Z., Kelso-Chichetto, N. E., Janelle, J., Morano, J. P., Somboonwit, C., Carter, W., Ibanez, G. E., Ennis, N., Cook, C. L., et al. (2017) · Addiction Science & Clinical Practice · doi:10.1186/s13722-017-0090-0 · Cited by 85
“Although we used an item from a validated scale [26], self-reported ART adherence tends to over-estimate adherence.”
MethodResultSevelius, J., Chakravarty, D., Neilands, T. B., Keatley, J., Shade, S. B., Johnson, M. O., Rebchook, G., & HRSA SPNS Transgender Women of Color Study Group (2021) · AIDS and Behavior · doi:10.1007/s10461-019-02544-2 · Cited by 92
Dow, D. E., Mmbaga, B. T., Gallis, J. A., Turner, E. L., Gandhi, M., Cunningham, C. K., & O’Donnell, K. E. (2020) · BMC Public Health · doi:10.1186/s12889-020-09380-3 · Cited by 76
Metadata
- Authors
- Wilson, I. B., Lee, Y., Michaud, J., Fowler, F. J., & Rogers, W. H.
- Affiliations
- Brown University (US)
- University of Massachusetts Boston (US)
- Tufts Medical Center (US)
- Corresponding author
- Wilson, Ira B.
- Venue
- AIDS and Behavior
- Published
- 2016-04-20
- Volume
- 20
- Issue
- 11
- Pages
- 2700-2708
- ISSN
- 1090-7165 (ISSN-L)
- 1573-3254
- PMC
- PMC5071118
- OpenAlex
- W2340311148
- Cited by
- 296
- References
- 34
- Citations by year
- 2026: 19 · 2025: 42 · 2024: 43 · 2023: 29 · 2022: 52 · 2021: 33 · 2020: 33 · 2019: 24 · 2018: 10 · 2017: 6 · 2016: 3
- FWCI
- 17.47
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- AIDS and Behavior (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (RO1 MH 092238, 2K24MH092242)
- Topics
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
- Health Sciences › Health Professions › Pharmacy › Pharmacy and Medical Practices
- Keywords
- medication adherence, HIV antiretroviral therapy, psychometric validation, adherence screening
- MeSH terms
- Adult, Drug Therapy, Combination, Female, Humans, Male, Middle Aged, Psychometrics, Surveys and Questionnaires, HIV Infections, Drug Monitoring, Anti-HIV Agents, Medication Adherence, Electronic Health Records, Self Report
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