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An Exploratory Factor Analysis of the Scale Structure of the Patient Care Monitor Version 2.0.

Publication ,  Journal Article
Samsa, GP; Wolf, S; LeBlanc, TW; Abernethy, AP
Published in: J Pain Symptom Manage
April 2016

CONTEXT: The Patient Care Monitor (PCM), version 2.0, is an electronic patient-reported outcomes instrument designed to be embedded into oncology practices. One key psychometric component of an instrument is its factor structure. OBJECTIVES: To validate the factor structure of the PCM. METHODS: The PCM was administered within various oncology clinics at our institution from 2006 to 2011 as part of standard of care, yielding a large (n = 5624) and diverse data set. An exploratory factor analysis was performed. RESULTS: The PCM performed well in terms of missing values and floor and ceiling effects. The three scales postulated by the PCM developers exhibited high internal consistency (Cronbach alpha 0.94-0.95); the six subscales exhibited good internal consistency (Cronbach alpha 0.80-0.95). A three-factor model approximated simple structure and was consistent with the constructs of emotional function, physical function, and physical symptoms suggested by the PCM developers. However, a six-factor model did not support the division of these three constructs into subscales of despair, distress, ambulation, impaired performance, treatment side effects, and general physical symptoms. Instead, we observed an emotional factor, a physical functioning factor, a factor including many of the treatment side effects, and three factors consisting of various clusters of physical symptoms. CONCLUSION: Although six subscales postulated by its developers perform reasonably, allocation of the PCM items to three constructs is more accurate and likely more consistent with how symptoms and concerns are conceptualized by patients.

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Published In

J Pain Symptom Manage

DOI

EISSN

1873-6513

Publication Date

April 2016

Volume

51

Issue

4

Start / End Page

776 / 783.e2

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Self Report
  • Psychometrics
  • Neoplasms
  • Models, Theoretical
  • Middle Aged
  • Male
  • Humans
  • Female
  • Factor Analysis, Statistical
 

Citation

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ICMJE
MLA
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Samsa, G. P., Wolf, S., LeBlanc, T. W., & Abernethy, A. P. (2016). An Exploratory Factor Analysis of the Scale Structure of the Patient Care Monitor Version 2.0. J Pain Symptom Manage, 51(4), 776-783.e2. https://doi.org/10.1016/j.jpainsymman.2015.11.013
Samsa, Gregory P., Steven Wolf, Thomas W. LeBlanc, and Amy P. Abernethy. “An Exploratory Factor Analysis of the Scale Structure of the Patient Care Monitor Version 2.0.J Pain Symptom Manage 51, no. 4 (April 2016): 776-783.e2. https://doi.org/10.1016/j.jpainsymman.2015.11.013.
Samsa GP, Wolf S, LeBlanc TW, Abernethy AP. An Exploratory Factor Analysis of the Scale Structure of the Patient Care Monitor Version 2.0. J Pain Symptom Manage. 2016 Apr;51(4):776-783.e2.
Samsa, Gregory P., et al. “An Exploratory Factor Analysis of the Scale Structure of the Patient Care Monitor Version 2.0.J Pain Symptom Manage, vol. 51, no. 4, Apr. 2016, pp. 776-783.e2. Pubmed, doi:10.1016/j.jpainsymman.2015.11.013.
Samsa GP, Wolf S, LeBlanc TW, Abernethy AP. An Exploratory Factor Analysis of the Scale Structure of the Patient Care Monitor Version 2.0. J Pain Symptom Manage. 2016 Apr;51(4):776-783.e2.
Journal cover image

Published In

J Pain Symptom Manage

DOI

EISSN

1873-6513

Publication Date

April 2016

Volume

51

Issue

4

Start / End Page

776 / 783.e2

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Self Report
  • Psychometrics
  • Neoplasms
  • Models, Theoretical
  • Middle Aged
  • Male
  • Humans
  • Female
  • Factor Analysis, Statistical