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Observational Study
. 2016 Nov;20(11):2700-2708.
doi: 10.1007/s10461-016-1406-x.

Validation of a New Three-Item Self-Report Measure for Medication Adherence

Affiliations
Observational Study

Validation of a New Three-Item Self-Report Measure for Medication Adherence

Ira B Wilson et al. AIDS Behav. 2016 Nov.

Abstract

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.

Keywords: HIV; Highly active antiretroviral therapy; Medication adherence; Patient compliance; Self-report.

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Figures

Fig. 1
Fig. 1
Comparison of raw 3-item self-report scale with EDM measure for HIV ARVs (N = 431) and non-ARVs (N = 195). The 95 % CI’s use mixed models to account for the clustering in the data structure
Fig. 2
Fig. 2
In this figure, this histogram shows the distribution of item scores for each of the 3 self-report adherence scales (including both HIV and non-HIV medications). The blue line shows the the score given to each response category using a linear, equal interval, zero to 100 approach, and the red line shows the score calibrated to the EDM measure (Color figure online)
Fig. 3
Fig. 3
This figure shows mean scores for the raw scale, the calibrated scale, and the EDM measure for HIV ARVs and non-ARVs, respectively

References

    1. 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. pp. 257–76.
    1. Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005;353(5):487–97. - PubMed
    1. Steiner JF, Prochazka AV. The assessment of refill compliance using pharmacy records: methods, validity, and applications. J Clin Epidemiol. 1997;50(1):105–16. - PubMed
    1. Demonceau J, Ruppar T, Kristanto P, et al. Identification and assessment of adherence-enhancing interventions in studies assessing medication adherence through electronically compiled drug dosing histories: a systematic literature review and meta-analysis. Drugs. 2013;73(6):545–62. - PMC - PubMed
    1. Kalichman SC, Amaral CM, Cherry C, et al. Monitoring medication adherence by unannounced pill counts conducted by telephone: reliability and criterion-related validity. HIV Clin Trials. 2008;9(5):298–308. - PMC - PubMed

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