# Testing and Implementation of the Patient-Reported Outcomes Measurement Information System Measures of Pain Intensity, Interference, and Behavior in Routine Clinical Care of Persons with Hemophilia.

> **NIH NIH K23** · UNIVERSITY OF COLORADO DENVER · 2021 · $170,495

## Abstract

PROJECT SUMMARY/ABSTRACT
Hemophilia is caused by an inherited deficiency of clotting factor proteins, leading to both spontaneous and
trauma-induced bleeding. Bleeding into joints and muscles causes acute pain, and over time repeated bleeds
into joints results in arthropathy, physical disability, and chronic pain in a large proportion of adults with
hemophilia. Effective management of pain in persons with hemophilia (PWH) is severely limited due to lack of
valid and reliable methods for measuring pain and incorporating this information into hemophilia clinical care
practices. This study addresses this critical barrier to progress toward the long-term goal of reducing the
impact of pain on the lives of PWH. The overall objectives of this study are to determine whether Patient-
Reported Outcomes Measurement Information System (PROMIS) measures of pain intensity, interference, and
behavior are valid and reliable for use in PWH and to identify factors that affect implementation of pain
measurement practices within hemophilia treatment centers (HTCs). The immediate goals of the candidate for
this K23 award, Dr. Tyler Buckner, are to obtain new knowledge, skills, and experience that will allow him to
test the validity, reliability, and responsiveness of existing patient-reported outcome (PRO) measures in special
populations, design longitudinal studies and conduct analyses of measures repeated over time, and study the
implementation of incorporating PRO assessments into clinical practice. Achieving these goals will support his
long term career goal of becoming a leader in the effort to improve the way that pain is assessed and managed
in the hemophilia clinic. Dr. Buckner will accomplish his research and training aims with the support of his
mentors, Dr. Marilyn Manco-Johnson (hemophilia clinical research), Dr. Bryce Reeve (psychometrics), Dr.
Diane Fairclough (longitudinal analysis), and Dr. Jodi Holtrop (implementation science). Dr. Buckner's plan
for career development is enhanced by the outstanding research environment at the University of Colorado,
which provides junior faculty members with numerous didactic and training opportunities designed specifically
to facilitate the transition to research career independence. The facilities and clinical and research staff of the
University of Colorado HTC provide an outstanding research infrastructure that will also support Dr. Buckner's
career development and research activities. Dr. Buckner's research aims to assess the following: 1) reliability
and validity of PROMIS measures of pain in PWH, 2) responsiveness and ecological validity of these
measures in PWH, and 3) feasibility and acceptability of implementing in-clinic and at-home pain assessments
in this population. These aims will be accomplished using computerized adaptive tests to conduct both cross-
sectional and longitudinal studies of the PROMIS pain measures in men with hemophilia. By completing his
research and training aims, Dr. Buckner will ...

## Key facts

- **NIH application ID:** 10168596
- **Project number:** 5K23HL138261-04
- **Recipient organization:** UNIVERSITY OF COLORADO DENVER
- **Principal Investigator:** Tyler Wayne Buckner
- **Activity code:** K23 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $170,495
- **Award type:** 5
- **Project period:** 2018-05-15 → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10168596

## Citation

> US National Institutes of Health, RePORTER application 10168596, Testing and Implementation of the Patient-Reported Outcomes Measurement Information System Measures of Pain Intensity, Interference, and Behavior in Routine Clinical Care of Persons with Hemophilia. (5K23HL138261-04). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10168596. Licensed CC0.

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