| Titre : | Crosswalking the National Institutes of Health Impact Stratification Score to the PEG (2023) |
| Auteurs : | Ron D. Hays ; Nabeel Qureshi ; Maria Edelen ; Anthony Rodriguez ; Mary Slaughter ; Patricia M. Herman |
| Type de document : | Article |
| Dans : | Archives of Physical Medicine and Rehabilitation (Vol. 104, n° 3, 2023) |
| Article en page(s) : | p. 425-429 |
| Langues: | Anglais |
| Descripteurs : |
HE Vinci Mesure de la douleur ; Mesures des résultats rapportés par les patients (PROM) ; Qualité de vie |
| Résumé : | Objective To crosswalk the National Institutes of Health (NIH) Pain Consortium's Research Task Force proposed Impact Stratification Score (ISS) to the PEG (Pain Intensity, Interference With Enjoyment of Life, Interference With General Activity) Scale. Design Cross-sectional data collected in 2021. Ordinary least squares regression analyses of ISS and PEG. Setting Amazon Mechanical Turk workers. Participants 1931 adults with back pain with an average age of 41 (range, 19-77); 48% were female, 16% Hispanic, 7% non-Hispanic Black, 5% non-Hispanic Asian, and 71% non-Hispanic White (N=1931). Interventions Not applicable. Main Outcome Measures The Patient-Reported Outcomes Measurement Information System (PROMIS)-29+2 v2.1 survey that includes the ISS, and the 3-item PEG. Results The ISS and PEG had a correlation coefficient of 0.74. The ISS accounted for 55% of the adjusted variance in the PEG and the standardized average deviation between observed and predicted scores (normalized mean absolute error) was 0.53. Likewise, the PEG explained 55% of the variance in the ISS with a normalized mean absolute error of 0.52. Conclusions This study provides a crosswalk between the ISS and PEG that can be used to predict one from the other. The regression equations can facilitate comparisons in studies that use different measures. |
| Disponible en ligne : | Oui |
| En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S0003999322005962 |
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