Psychometric evaluation of the PROMIS® Medication Adherence Scale among patients prescribed oral anticancer medication for multiple myeloma

Abstract Background Oral anticancer medications are standard care for cancer. Medication adherence influences health outcomes, but valid, reliable measures assessing self-reported medication adherence are limited. Psychometric properties of the PROMIS ® Medication Adherence Scale (PMAS) were evaluated in patients prescribed oral anticancer medications for multiple myeloma. Methodology This was a secondary analysis from a longitudinal observational study examining medication adherence, symptoms, quality of life, and financial hardship among individuals prescribed oral anticancer medications for multiple myeloma. PMAS measured self-reported medication adherence. Self-report and medical record data assessed participant characteristics and adherence correlates. Objective medication adherence indices were generated from continuous electronic event monitored data. Internal consistency reliability was estimated using Cronbach’s alpha. Dimensionality was assessed with confirmatory factor analysis. Construct validity was assessed considering adherence correlates. Spearman rank-order correlations summarized associations between PMAS and electronic event monitored data. Results PMAS items had limited variability, with high adherence over time. Reliability of PMAS scores was adequate (T1 α = 0.82, 95% CI: 0.75, 0.87; T2 α = 0.84, 95% CI: 0.78, 0.89). Confirmatory factor analysis fit was better for sub-scales (Medication Beliefs and Knowledge and Medication Taking Behaviors) than Total scale, particularly for the Medication Beliefs and Knowledge subscale. Adherence correlates were observed as expected between PMAS and age, self-reported cognitive function, symptom severity, and depression. Weak/moderate positive associations were found between PMAS and electronic event monitored data. Conclusions Reliability, two-factor dimensionality, and construct validity were supported, with some evidence of concurrent criterion validity with electronic event monitored adherence data. Additional validation testing is needed to support findings. Evidence supports the feasibility of longitudinal oral anticancer medication adherence assessment monitoring using PMAS.

Authors

Institutions

Publication Details

Journal
Journal of Patient-Reported Outcomes
Published
2026-09-19
DOI
https://doi.org/10.1186/s41687-026-01204-z
Primary Topic
Medication Adherence and Compliance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Psychometric evaluation of the PROMIS® Medication Adherence Scale among patients prescribed oral anticancer medication for multiple myeloma

Paul Scott, John Devin Peipert, Benyam Muluneh, Corrine Bozich et al.
Journal of Patient-Reported Outcomes
Medication Adherence and Compliance
article

Psychometric evaluation of the PROMIS® Medication Adherence Scale among patients prescribed oral anticancer medication for multiple myeloma

Paul Scott, John Devin Peipert, Benyam Muluneh, Corrine Bozich, Lindsay M. Sabik, Sarah M. Belcher, Catherine M. Bender, Jacqueline Dunbar-Jacob, SM Sereika, Margaret Q. Rosenzweig, Abigail Lustyik, Mounzer Agha, Petra Duran Basso, Grace Booze, Emily S. He, Valire Copeland
article en

Abstract

Abstract Background Oral anticancer medications are standard care for cancer. Medication adherence influences health outcomes, but valid, reliable measures assessing self-reported medication adherence are limited. Psychometric properties of the PROMIS ® Medication Adherence Scale (PMAS) were evaluated in patients prescribed oral anticancer medications for multiple myeloma. Methodology This was a secondary analysis from a longitudinal observational study examining medication adherence, symptoms, quality of life, and financial hardship among individuals prescribed oral anticancer medications for multiple myeloma. PMAS measured self-reported medication adherence. Self-report and medical record data assessed participant characteristics and adherence correlates. Objective medication adherence indices were generated from continuous electronic event monitored data. Internal consistency reliability was estimated using Cronbach’s alpha. Dimensionality was assessed with confirmatory factor analysis. Construct validity was assessed considering adherence correlates. Spearman rank-order correlations summarized associations between PMAS and electronic event monitored data. Results PMAS items had limited variability, with high adherence over time. Reliability of PMAS scores was adequate (T1 α = 0.82, 95% CI: 0.75, 0.87; T2 α = 0.84, 95% CI: 0.78, 0.89). Confirmatory factor analysis fit was better for sub-scales (Medication Beliefs and Knowledge and Medication Taking Behaviors) than Total scale, particularly for the Medication Beliefs and Knowledge subscale. Adherence correlates were observed as expected between PMAS and age, self-reported cognitive function, symptom severity, and depression. Weak/moderate positive associations were found between PMAS and electronic event monitored data. Conclusions Reliability, two-factor dimensionality, and construct validity were supported, with some evidence of concurrent criterion validity with electronic event monitored adherence data. Additional validation testing is needed to support findings. Evidence supports the feasibility of longitudinal oral anticancer medication adherence assessment monitoring using PMAS.

Journal of Patient-Reported Outcomes
University of North Carolina at Chapel Hill (US), University of Pittsburgh (US), UPMC Hillman Cancer Center (US), UNC Lineberger Comprehensive Cancer Center, University of Birmingham (GB)
Openalex Percentile: Top 8%
Medication Adherence and Compliance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.