Literature DB >> 30088121

Evaluating the PROMIS-29 v2.0 for use among older adults with multiple chronic conditions.

Adam J Rose1,2, Elizabeth Bayliss3,4, Wenjing Huang5, Lesley Baseman6, Emily Butcher6, Rosa-Elena García5, Maria Orlando Edelen6.   

Abstract

PURPOSE: The Patient-Reported Outcomes Measurement Information System 29-item profile (PROMIS-29 v2.0), which measures health-related quality of life (HRQoL), has had limited evaluation among older adults (age 65+) with multiple chronic conditions. Our purpose was to establish convergent validity for PROMIS-29 in this population.
METHODS: We collected the PROMIS-29 v2.0 and the Veterans RAND 36 (VR-36) for 1359 primary care patients aged 65 + with at least 2 of 13 chronic conditions, oversampling those aged 80+. We conducted multiple analyses to examine score differences across subgroups, differential item functioning (DIF), and comparisons of PROMIS-29 v2.0 and VR-36 scores.
RESULTS: The mean age was 80.7, and all patients had at least 2 of 13 chronic conditions. Older age, female sex, Hispanic ethnicity, and more chronic conditions were associated with worse physical health scores (PHS) and mental health scores (MHS) on the PROMIS-29 v2.0-findings which are in the expected direction. None of the 700 pairs of items met criteria for DIF. PHS and MHS were highly intercorrelated (r = 0.74, p < 0.001 for this and all other findings). PHS was more highly correlated with the VR-36 Physical Component Score (PCS) than the Mental Component Score (MCS) (r = 0.85 and 0.32, respectively), while MHS was highly correlated with both (r = 0.70 and 0.64, respectively).
CONCLUSIONS: PROMIS-29 v2.0 demonstrates expected bivariate relationships with key person-level characteristics and does not show DIF. PROMIS-29 v2.0 scores are highly correlated with VR-36 scores. These results provide support for the validity of PROMIS-29 v2.0 as a measure of HRQoL among older adults with multiple chronic conditions.

Entities:  

Keywords:  Chronic disease; Comorbidity; Elderly; Geriatrics; PROMIS; Quality of life

Mesh:

Year:  2018        PMID: 30088121      PMCID: PMC6196113          DOI: 10.1007/s11136-018-1958-5

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  27 in total

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2.  SF-36 summary scores: are physical and mental health truly distinct?

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3.  Comparison of health-related quality of life in patients with neuroendocrine tumors with quality of life in the general US population.

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7.  Comparing the health status of VA and non-VA ambulatory patients: the veterans' health and medical outcomes studies.

Authors:  William H Rogers; Lewis E Kazis; Donald R Miller; Katherine M Skinner; Jack A Clark; Avron Spiro; R Graeme Fincke
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8.  The Medical Outcomes Study. An application of methods for monitoring the results of medical care.

Authors:  A R Tarlov; J E Ware; S Greenfield; E C Nelson; E Perrin; M Zubkoff
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9.  Exercise and quality of life among people with multiple sclerosis: looking beyond physical functioning to mental health and participation in life.

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10.  The PROMIS of QALYs.

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  14 in total

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2.  Protocol for a Cluster Randomized Trial Comparing Team-Based to Clinician-Focused Implementation of Advance Care Planning in Primary Care.

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Review 7.  Utility of the Patient-Reported Outcomes Measurement Information System (PROMIS) to measure primary health outcomes in cancer patients: a systematic review.

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8.  Development of a Novel Mind-Body Activity and Pain Management Program for Older Adults With Cognitive Decline.

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9.  Fatigue Predicts Future Reduced Social Participation, not Reduced Physical Function or Quality of Life in People with Systemic Sclerosis.

Authors:  Susan L Murphy; Daniel Whibley; Anna L Kratz; Janet L Poole; Dinesh Khanna
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10.  What do alexithymia items measure? A discriminant content validity study of the Toronto-alexithymia-scale-20.

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