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Purpose The Patient-Reported Outcomes Measurement Information System® (PROMIS®) was designed to develop, validate, and standardize item banks to measure key domains of physical, mental and social health in chronic conditions. This paper reports the calibration and validation testing of the PROMIS Self-Efficacy for Managing Chronic Conditions measures. Methods PROMIS Self-Efficacy for Managing Chronic Conditions item banks comprise five domains, Self-Efficacy for Managing: Daily Activities, Symptoms, Medications and Treatments, Emotions, and Social Interactions. Banks were calibrated in 1087 subjects from two data sources: 837 patients with chronic neurologic conditions (epilepsy, multiple sclerosis, neuropathy, Parkinson disease, and stroke) and 250 subjects from an online internet sample of adults with general chronic conditions. Scores were compared with one legacy scale: Self-Efficacy for Managing Chronic Disease 6-Item scale (SEMCD6) and five PROMIS short forms: Global Health (Physical and Mental), Physical Function, Fatigue, Depression, and Anxiety. Results The sample was 57% female, mean age=53.8 (SD=14.7), 76% white, 21% African American, 6% Hispanic and 76% with greater than high school education. Full item banks were created for each domain. All measures had good internal consistency and correlated well with SEMCD6 (r=0.56–0.75). Significant correlations were seen between the Self-Efficacy measures and other PROMIS short forms (r>0.38). Conclusions The newly developed PROMIS Self-Efficacy for Managing Chronic Conditions measures include five domains of self-efficacy that were calibrated across diverse chronic conditions and show good internal consistency and cross-sectional validity.

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Although regularly used, HRQOL measures are not intended to measure nor do they accurately reflect the complex difficulties facing CI patients. Only a medium positive effect of cochlear implantation on HRQOL was observed along with a low correlation between non-disease-specific PROMs and speech recognition. The use of such instruments in this population may underestimate the benefit of cochlear implantation.

Purpose: Valid, reliable, and efficient patient-reported outcome measures are needed to quantify quality of life (QOL) outcomes after cochlear implantation to supplement information obtained from performance-based outcomes. We previously developed the Cochlear Implant Quality of Life (CIQOL) item bank to serve as the source of items for subsequent instruments. This study reports the development and psychometric properties for 2 of these new instruments, the CIQOL-35 Profile and the CIQOL-10 Global. Method: Cochlear implant (CI) users referred from the CIQOL Development Consortium (n = 371), consisting of 20 CI centers across the United States, provided responses to the 81-item CIQOL item bank, which are grouped into 6 QOL domains (communication, emotional, entertainment, environment, listening effort, and social). Responses to the 81 CIQOL items were analyzed using item response theory to determine individual item difficulty, discrimination, and model fit to select the set of items for the profile instrument and global measure that would optimize their measurement characteristics. Results: The 35-item CIQOL-35 Profile instrument assesses outcomes represented in the 6 domains of the CIQOL final item pool. The 10-item CIQOL-10 Global measure produces a single, overall QOL score. After ensuring the upper and lower ends of the item difficulty continuum were represented (item difficulty range: −2.48 to 2.47), the items with the highest discrimination ability for each domain were selected for the CIQOL-35 Profile instrument (discrimination range: 0.67-1.37). Items were selected for the CIQOL-10 Global measure in a similar manner. Conclusion: The CIQOL-35 Profile and CIQOL-10 Global instruments provide psychometrically sound and efficient measures that can be used to assess QOL in adult CI users in both clinical and research settings.

This study demonstrated one way that Rasch measurement can be helpful in selecting items for minimum item sets while maintaining test precision. Both alpha and the separation ratio provide information about how a sample performed with a given test although variations in measurement precision may not always be detected with alpha.