The Norwegian PROMIS-29: psychometric validation in the general population for Norway

Abstract

Background The Patient Reported Outcome Measurement Information System profile instruments include “high information” items drawn from large item banks following the application of modern psychometric criteria. The shortest adult profile, PROMIS-29, looks set to replace existing short-form instruments in research and clinical practice. The objective of this study was to undertake the first psychometric evaluation of the Norwegian PROMIS-29, following a postal survey of a random sample of 12,790 Norwegians identified through the National Registry of the Norwegian Tax Administration. Confirmatory factor analysis was used to assess structural validity. Fit to the Rasch partial credit model and differential item functioning (DIF) were assessed in relation to age, gender, and education. PROMIS-29 scores were compared to those for the EQ-5D-5L and the Self-assessed Comorbidity Questionnaire (SCQ), for purposes of assessing validity based on a priori hypotheses. Results There were 3200 (25.9%) respondents with a mean age (SD) of 51 (20.7, range 18 to 97 years) and 55% were female. The PROMIS-29 showed satisfactory structural validity and acceptable fit to Rasch model including unidimensionality, and measurement invariance across age and education levels. One pain interference item had uniform DIF for gender but splitting gave satisfactory fit. Domain reliability estimates ranged from 0.85 to 0.95. Correlations between PROMIS-29 domain, SCQ and EQ-5D scores were largely as expected, the largest being for scores assessing very similar aspects of health. Conclusions The Norwegian version of the PROMIS-29 is a reliable and valid generic self-reported measure of health in the Norwegian general population. The instrument is recommended for further application, but the analysis should be replicated and responsiveness to change assessed in future studies before it can be recommended for clinical and health services evaluation in Norway.

Preliminary evaluation of the Chinese version of the patient-reported outcomes measurement information system 29-item profile in patients with aortic dissection

“…Further exploration including AD patients during the acute phase is suggested to thoroughly evaluate the discrimination at lower levels of pain interference. The ceiling effect on physical function (33%) was markedly lower than those of other studies using a general population sample, for example, 72% of Coste et al [ 44 ] and 71% of Garratt et al [ 16 ]. It may still reflect a restriction on responsiveness; nevertheless, it would not be problematic when identifying those with poor physical performance.…”

“…This measure is widely practiced worldwide and is already available in more than 40 languages. Due to its brevity and breadth, the PROMIS-29 has been examined in a broad range of general [ 16 ] or patient populations, such as adults with hemophilia [ 17 ], chronic low back pain [ 18 ], chronic pulmonary diseases [ 19 ], burn survivors [ 20 ] and kidney transplant recipients [ 21 ]. Good and robust psychometric properties have been established within these different settings.…”

Psychometric properties and reference values of the Patient‐Reported Outcomes Measurement Information System (PROMIS) sleep item banks in the Dutch general population

“…However, it is hard to predict whether this would lead to meaningful bias. One other study examined DIF for age, in a Norwegian general population sample, and did not find DIF (Garratt et al, 2021). More relevant is probably the finding that two items (Sleep20 and Sleep69) showed DIF for language.…”

Individual supported work placements (ReISE) for improving sustained return to work in unemployed people with persistent pain: study protocol for a cohort randomised controlled trial with embedded economic and process evaluations.

“…At baseline, we will collect demographic data and details of health care use in the past three months as well as health-related outcomes using the following validated questionnaires, which will be offered in Norwegian or English as preferred: Health-related quality of life (EQ-5D-5L) (38, 39), the Warwick-Edinburgh Mental Well-being Scale (35,40) , PROMIS-29 (41,42) and the Work Ability Score (as taken from the Work Ability Index) (43,44). We will collect follow-up data at three-, six-and 12-months from baseline measurement, where we additionally will ask about return to work, job offers, or usual care and services; and then for those who have returned to work: satisfaction with work, the Work Role Functioning Questionnaire (WRFQ) (45,46) and return to work self-e cacy (47,48) whether work makes pain worse; healthcare and social care use; medication; and the amount of time they have been at work (Table 1).…”