Physical function metric over measure: An illustration with the Patient-Reported Outcomes Measurement Information System (PROMIS) and the Functional Assessment of Cancer Therapy (FACT)

Aaron J. Kaat, Benjamin D. Schalet, Joshua Rutsohn, Roxanne E. Jensen, David Cella

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

BACKGROUND: Measuring patient-reported outcomes (PROs) is becoming an integral component of quality improvement initiatives, clinical care, and research studies in cancer, including comparative effectiveness research. However, the number of PROs limits comparability across studies. Herein, the authors attempted to link the Functional Assessment of Cancer Therapy-General Physical Well-Being (FACT-G PWB) subscale with the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) calibrated item bank. The also sought to augment a subset of the conceptually most similar FACT-G PWB items with PROMIS PF items to improve the linking. METHODS: Baseline data from 5506 participants in the Measuring Your Health (MY-Health) study were used to identify the optimal items for linking FACT-G PWB with PROMIS PF. A mixed methods approach identified the optimal items for creating the 5-item FACT/PROMIS-PF5 scale. Both the linked and augmented relationships were cross-validated using the follow-up MY-Health data. RESULTS: A 5-item FACT-G PWB item subset was found to be optimal for linking with PROMIS PF. In addition, a 2-item subset, including only items that were conceptually very similar to the PROMIS item bank content, were augmented with 3 PROMIS PF items. This new FACT/PROMIS-PF5 provided superior score recovery. CONCLUSIONS: The PROMIS PF metric allows for the evaluation of the extent to which similar questionnaires can be linked and therefore expressed on the same metric. These results allow for the aggregation of existing data and provide an optimal measure for future studies wishing to use the FACT yet also report on the PROMIS PF metric. Cancer 2018;124:153-60.

Original languageEnglish (US)
Pages (from-to)153-160
Number of pages8
Journalcancer
Volume124
Issue number1
DOIs
StatePublished - Jan 1 2018

Funding

This project was partially funded through several sources. Measuring Your Health (MY-Health) data were collected under National Institutes of Health (NIH) grant U01AR057971 (Principal Investigators: Arnold Potosky and Carol Moinpour) and National Cancer Institute grant P30CA051008 (Principal Investigators: Roxanne Jensen and Arnold Potosky). Analytic work was supported in part by a cooperative agreement from the NIH to Northwestern University (grant U2CCA186878; Principal Investigator: David Cella, PhD). Additional analyses were funded by Functional Assessment of Chronic Illness Therapy (FACIT). The results of this article were not contingent upon sponsor approval or censorship, including that these contents do not necessarily represent an endorsement by FACIT, the National Cancer Institute, the NIH, or the US federal government.

Keywords

  • Functional Assessment of Cancer Therapy (FACT)
  • Patient-Reported Outcomes Measurement Information System (PROMIS)
  • Physical Function
  • item response theory
  • linking

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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