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Data pooling and analysis to build a preliminary item bank: an example using bowel function in prostate cancer.

Publication ,  Journal Article
Eton, DT; Lai, J-S; Cella, D; Reeve, BB; Talcott, JA; Clark, JA; McPherson, CP; Litwin, MS; Moinpour, CM
Published in: Eval Health Prof
June 2005

Assessing bowel function (BF) in prostate cancer can help determine therapeutic trade-offs. We determined the components of BF commonly assessed in prostate cancer studies as an initial step in creating an item bank for clinical and research application. We analyzed six archived data sets representing 4,246 men with prostate cancer. Thirty-one items from validated instruments were available for analysis. Items were classified into domains (diarrhea, rectal urgency, pain, bleeding, bother/distress, and other) then subjected to conventional psychometric and item response theory (IRT) analyses. Items fit the IRT model if the ratio between observed and expected item variance was between 0.60 and 1.40. Four of 31 items had inadequate fit in at least one analysis. Poorly fitting items included bleeding (2), rectal urgency (1), and bother/distress (1). A fifth item assessing hemorrhoids was poorly correlated with other items. Our analyses supported four related components of BF: diarrhea, rectal urgency, pain, and bother/distress.

Duke Scholars

Published In

Eval Health Prof

DOI

ISSN

0163-2787

Publication Date

June 2005

Volume

28

Issue

2

Start / End Page

142 / 159

Location

United States

Related Subject Headings

  • Surveys and Questionnaires
  • Statistics, Nonparametric
  • Quality of Life
  • Public Health
  • Psychometrics
  • Prostatic Neoplasms
  • Middle Aged
  • Male
  • Intestine, Large
  • Humans
 

Citation

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Eton, D. T., Lai, J.-S., Cella, D., Reeve, B. B., Talcott, J. A., Clark, J. A., … Moinpour, C. M. (2005). Data pooling and analysis to build a preliminary item bank: an example using bowel function in prostate cancer. Eval Health Prof, 28(2), 142–159. https://doi.org/10.1177/0163278705275338
Eton, David T., Jin-Shei Lai, David Cella, Bryce B. Reeve, James A. Talcott, Jack A. Clark, Carol P. McPherson, Mark S. Litwin, and Carol M. Moinpour. “Data pooling and analysis to build a preliminary item bank: an example using bowel function in prostate cancer.Eval Health Prof 28, no. 2 (June 2005): 142–59. https://doi.org/10.1177/0163278705275338.
Eton DT, Lai J-S, Cella D, Reeve BB, Talcott JA, Clark JA, et al. Data pooling and analysis to build a preliminary item bank: an example using bowel function in prostate cancer. Eval Health Prof. 2005 Jun;28(2):142–59.
Eton, David T., et al. “Data pooling and analysis to build a preliminary item bank: an example using bowel function in prostate cancer.Eval Health Prof, vol. 28, no. 2, June 2005, pp. 142–59. Pubmed, doi:10.1177/0163278705275338.
Eton DT, Lai J-S, Cella D, Reeve BB, Talcott JA, Clark JA, McPherson CP, Litwin MS, Moinpour CM. Data pooling and analysis to build a preliminary item bank: an example using bowel function in prostate cancer. Eval Health Prof. 2005 Jun;28(2):142–159.
Journal cover image

Published In

Eval Health Prof

DOI

ISSN

0163-2787

Publication Date

June 2005

Volume

28

Issue

2

Start / End Page

142 / 159

Location

United States

Related Subject Headings

  • Surveys and Questionnaires
  • Statistics, Nonparametric
  • Quality of Life
  • Public Health
  • Psychometrics
  • Prostatic Neoplasms
  • Middle Aged
  • Male
  • Intestine, Large
  • Humans