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Validation of the Patient Care Monitor (Version 2.0): a review of system assessment instrument for cancer patients.

Publication ,  Journal Article
Abernethy, AP; Zafar, SY; Uronis, H; Wheeler, JL; Coan, A; Rowe, K; Shelby, RA; Fowler, R; Herndon, JE
Published in: J Pain Symptom Manage
October 2010

CONTEXT: The Patient Care Monitor (PCM) is a review of systems survey delivered by means of an electronic patient-reported outcomes (ePRO) data capture system that uses wireless tablet computers. Although the PCM 1.0 is validated, the updated PCM 2.0 has not been validated nor tested in the academic setting. OBJECTIVES: To validate and test the PCM 2.0 in three cancer populations. METHODS: Two hundred seventy-five individuals participated in three clinical trials enrolling breast (n=65), gastrointestinal (n=113), and lung (n=97) cancer patients. Internal consistency was evaluated using Cronbach's alpha coefficients calculated for six PCM subscales (general physical symptoms, treatment side effects, distress, despair, impaired performance, and impaired ambulation) and a Quality-of-Life Index. Construct validity was evaluated through Pearson's correlation between PCM subscales and subscales of the Functional Assessment of Cancer Therapy--General (FACT-G), the M.D. Anderson Symptom Inventory (MDASI), and the Functional Assessment of Chronic Illness Therapy--Fatigue (FACIT-F). The participants had the following characteristics: mean age was 58 years (standard deviation: 11), 52% were females, 79% were whites, 17% were blacks, 62% had no college degree, and 78% had metastatic or recurrent disease. RESULTS: Raw and normalized scores for PCM 2.0 subscales were internally consistent across study cohorts. PCM 2.0 subscales correlated significantly (P<0.05) with the corresponding subscales on FACT-G, MDASI, and FACIT-F, with the exception of FACT-G social well-being, particularly for the lung cancer population. These correlations demonstrated construct validity. PCM 2.0 results followed expected patterns by cancer etiology. Prior reports demonstrate patient satisfaction with PCM 2.0. CONCLUSION: Within three unique academic oncology populations, PCM 2.0 is a valid ePRO instrument for assessing symptoms with seven patient-centered subscale or index domains.

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Published In

J Pain Symptom Manage

DOI

EISSN

1873-6513

Publication Date

October 2010

Volume

40

Issue

4

Start / End Page

545 / 558

Location

United States

Related Subject Headings

  • Regression Analysis
  • Quality of Life
  • Patient Satisfaction
  • Pain Measurement
  • Pain
  • Middle Aged
  • Male
  • Lung Neoplasms
  • Humans
  • Health Status
 

Citation

APA
Chicago
ICMJE
MLA
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Abernethy, A. P., Zafar, S. Y., Uronis, H., Wheeler, J. L., Coan, A., Rowe, K., … Herndon, J. E. (2010). Validation of the Patient Care Monitor (Version 2.0): a review of system assessment instrument for cancer patients. J Pain Symptom Manage, 40(4), 545–558. https://doi.org/10.1016/j.jpainsymman.2010.01.017
Abernethy, Amy P., Syed Yousuf Zafar, Hope Uronis, Jane L. Wheeler, April Coan, Krista Rowe, Rebecca A. Shelby, Robin Fowler, and James E. Herndon. “Validation of the Patient Care Monitor (Version 2.0): a review of system assessment instrument for cancer patients.J Pain Symptom Manage 40, no. 4 (October 2010): 545–58. https://doi.org/10.1016/j.jpainsymman.2010.01.017.
Abernethy AP, Zafar SY, Uronis H, Wheeler JL, Coan A, Rowe K, et al. Validation of the Patient Care Monitor (Version 2.0): a review of system assessment instrument for cancer patients. J Pain Symptom Manage. 2010 Oct;40(4):545–58.
Abernethy, Amy P., et al. “Validation of the Patient Care Monitor (Version 2.0): a review of system assessment instrument for cancer patients.J Pain Symptom Manage, vol. 40, no. 4, Oct. 2010, pp. 545–58. Pubmed, doi:10.1016/j.jpainsymman.2010.01.017.
Abernethy AP, Zafar SY, Uronis H, Wheeler JL, Coan A, Rowe K, Shelby RA, Fowler R, Herndon JE. Validation of the Patient Care Monitor (Version 2.0): a review of system assessment instrument for cancer patients. J Pain Symptom Manage. 2010 Oct;40(4):545–558.
Journal cover image

Published In

J Pain Symptom Manage

DOI

EISSN

1873-6513

Publication Date

October 2010

Volume

40

Issue

4

Start / End Page

545 / 558

Location

United States

Related Subject Headings

  • Regression Analysis
  • Quality of Life
  • Patient Satisfaction
  • Pain Measurement
  • Pain
  • Middle Aged
  • Male
  • Lung Neoplasms
  • Humans
  • Health Status