• Who we are
    • About us
    • Our values
    • Environmental, social & governance
    • Therapeutic areas
  • What we do
    • Consulting (Acsel Health)
    • HEOR & market access
    • Scientific communications
    • Creative communications
    • Patient engagement
  • Insights
  • News & Events
  • Join us
    • Careers
    • Reasons to join
  • Contact us
  • Menu Menu

Publication Library / Publications

Psychometric validation of the PROMIS Fatigue-Short Form 7a in adults with newly diagnosed or recurrent Mycobacterium avium complex (MAC) lung disease: the ARISE and ENCORE studies

Background

Fatigue symptoms contribute to the burden of Mycobacterium avium complex (MAC) lung disease. This study evaluated the psychometric properties of the Patient Reported Outcomes Measurement Information System Short Form v1.0 – Fatigue 7a (PROMIS-F SF-7a) in adults with a new or recurrent diagnosis of MAC lung disease.

Methods

Data from the ARISE (NCT04677543) and ENCORE (NCT04677569) phase 3 trials were analyzed. Modern psychometric methods were employed to confirm the structural validity of the PROMIS-F SF-7a within this context of use. Classical methods were used to confirm the reliability and validity of the PROMIS-F SF-7a within this context of use. Internal consistency (McDonald’s omega, Cronbach’s alpha), test-retest reliability (two-way mixed effects intraclass correlation coefficient [ICC(2,1)]), and known-groups validity across Patient Global Impression of Severity (PGI-S) Fatigue groups were estimated. Convergent validity (Pearson correlations) was assessed by correlating PROMIS-F SF-7a scores with scores on the Exacerbations of Chronic Pulmonary Disease Tool (EXACT), EXACT Respiratory Symptoms (E-RS), St. George Respiratory Questionnaire (SGRQ), and Functional Assessment of Chronic Illness Therapy (FACIT) Fatigue Scale. Meaningful within-patient change (MWPC) thresholds were determined using anchor-based methods.

Results

The baseline sample included 231 patients (99 ARISE, 132 ENCORE). The cross-sectional validation sample comprised 230 patients (excluding 1 ARISE patient with missing item-level PROMIS-F SF-7a data). The longitudinal validation analysis sample comprised all 99 ARISE patients. Modern psychometric methods supported the relevance of all items and a unidimensional unit-weighted sum score for the PROMIS-F SF-7a. The PROMIS-F SF-7a demonstrated strong internal consistency (Cronbach’s alpha: 0.86), test-retest reliability (ICC[2, 1]: 0.76), and convergent validity (FACIT-Fatigue: −0.80, EXACT: 0.56, E-RS: 0.52, SGRQ: 0.66). Known-groups validity was demonstrated across PGI-S Fatigue groups. The MWPC analyses supported a −4.00-point median change from baseline (95% CI: −3.00 to −6.00 points) as the estimated threshold of clinically meaningful within-patient improvement for the PROMIS-F SF-7a.

Conclusion

The PROMIS-F SF-7a is a robust, sensitive, and responsive measure of fatigue in adult patients with a new or recurrent diagnosis of MAC lung disease. It is content and psychometrically valid and appears to have interpretability to assess a threshold of MWPC for fatigue symptoms in this population.

Authors K C Mange, D Serrano, M Hassan, M-L Nevoret, D W Yuen, S McManus, L Podger, B Barnes, C L Daley
Journal Journal of Patient-Reported Outcomes
Therapeutic Area Cardiology
Center of Excellence Patient-Centered outcomes
Year 2025
Read full article

Services

  • Consulting
  • HEOR & market access
  • Scientific communications
  • Creative communications
  • Patient engagement

Company

  • About Us
  • Our values
  • Environmental, social & governance
  • Our commitment to rare disease
  • Careers
  • Reasons to join
  • News & insights
  • Events
  • Locations & contact

Legal and Governance

  • Terms of use
  • Privacy notice
  • Cookie policy
  • IT security measures
  • Gender pay gap
  • Modern slavery statement
  • Disclosure UK – ABPI
  • Looking for OpenHealth Company?
  • Legal statements & documents
  • Global ethical business conduct code
  • Suppliers
footer-logo-mark
  • Twitter
  • Linkedin
  • Instagram
  • Facebook

© Copyright OPEN Health 2026. All rights reserved. OPEN Health is a registered trademark.

backtotop-arrow
Scroll to top