Estimating Measurement Error of the Patient Activation Measure for Respondents with Partially Missing Data
Author
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-17
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The patient activation measure (PAM) is an increasingly popular instrument used as the basis for interventions to improve patient engagement and as an outcome measure to assess intervention effect.
However, a PAM score may be calculated when there are missing responses, which could lead to substantial measurement error.
In this paper, measurement error is systematically estimated across the full possible range of missing items (one to twelve), using simulation in which populated items were randomly replaced with missing data for each of 1,138 complete surveys obtained in a randomized controlled trial.
The PAM score was then calculated, followed by comparisons of overall simulated average mean, minimum, and maximum PAM scores to the true PAM score in order to assess the absolute percentage error (APE) for each comparison.
With only one missing item, the average APE was 2.5% comparing the true PAM score to the simulated minimum score and 4.3% compared to the simulated maximum score.
APEs increased with additional missing items, such that surveys with 12 missing items had average APEs of 29.7% (minimum) and 44.4% (maximum).
Several suggestions and alternative approaches are offered that could be pursued to improve measurement accuracy when responses are missing.
American Psychological Association (APA)
Linden, Ariel. 2015. Estimating Measurement Error of the Patient Activation Measure for Respondents with Partially Missing Data. BioMed Research International،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1054826
Modern Language Association (MLA)
Linden, Ariel. Estimating Measurement Error of the Patient Activation Measure for Respondents with Partially Missing Data. BioMed Research International No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1054826
American Medical Association (AMA)
Linden, Ariel. Estimating Measurement Error of the Patient Activation Measure for Respondents with Partially Missing Data. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1054826
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1054826