Evaluation of symptoms in respiratory syncytial virus infection in adults: psychometric evaluation of the Respiratory Infection Intensity and Impact Questionnaire™ symptom scores.


Journal

Journal of patient-reported outcomes
ISSN: 2509-8020
Titre abrégé: J Patient Rep Outcomes
Pays: Germany
ID NLM: 101722688

Informations de publication

Date de publication:
01 06 2023
Historique:
received: 24 01 2023
accepted: 18 05 2023
medline: 5 6 2023
pubmed: 1 6 2023
entrez: 1 6 2023
Statut: epublish

Résumé

The Respiratory Infection Intensity and Impact Questionnaire (RiiQ™) is a patient-reported outcome measure designed to assess symptoms and impacts of respiratory syncytial virus (RSV) infection. This study evaluated the construct validity, reliability, and responsiveness of the RiiQ™ Respiratory and Systemic Symptoms Scale scores. Prospective data were analyzed from a total of 1795 participants, including from non-hospitalized patients with acute respiratory infection (ARI) and no coinfections enrolled in a Phase 2b RSV vaccine study (RSV-positive: n = 60; RSV-negative: n = 1615), and two observational studies of patients hospitalized with RSV (n = 20; n = 100). Descriptive statistics, confirmatory factor analysis (CFA), test-retest intraclass correlation coefficients (ICCs), construct validity correlations (between a clinician-assessed clinical questionnaire and the RiiQ™ symptoms scale), known-groups validity, and responsiveness (correlations of change scores) were evaluated. Mean patient age ranged from 66.5 to 71.5 years and the majority of patients were female. Initial assessments in the vaccine trial (ARI Day 1) were suggestive of less severe illness than in the observational studies with hospitalized patients. CFA loadings (> 0.40) supported summary scores. ICCs exceeding the recommended threshold of 0.70 supported test-retest reliability for Respiratory and Systemic Symptoms, except in the small observational study. At the scale level, correlations were moderate to strong (|r| ≥ 0.3) and positive between the Respiratory Symptoms Scale and the related clinical questionnaire scores, reflecting measurement of similar symptoms in support of convergent validity. Correlations with change in Patient Global Impression of Severity > 0.30 supported responsiveness. Psychometric tests applied to the RiiQ™ Symptoms scales provide evidence of its reliability, construct validity, discriminating ability, and responsiveness for use in clinical studies to assess the onset and severity of RSV symptoms.

Sections du résumé

BACKGROUND
The Respiratory Infection Intensity and Impact Questionnaire (RiiQ™) is a patient-reported outcome measure designed to assess symptoms and impacts of respiratory syncytial virus (RSV) infection. This study evaluated the construct validity, reliability, and responsiveness of the RiiQ™ Respiratory and Systemic Symptoms Scale scores.
METHODS
Prospective data were analyzed from a total of 1795 participants, including from non-hospitalized patients with acute respiratory infection (ARI) and no coinfections enrolled in a Phase 2b RSV vaccine study (RSV-positive: n = 60; RSV-negative: n = 1615), and two observational studies of patients hospitalized with RSV (n = 20; n = 100). Descriptive statistics, confirmatory factor analysis (CFA), test-retest intraclass correlation coefficients (ICCs), construct validity correlations (between a clinician-assessed clinical questionnaire and the RiiQ™ symptoms scale), known-groups validity, and responsiveness (correlations of change scores) were evaluated.
RESULTS
Mean patient age ranged from 66.5 to 71.5 years and the majority of patients were female. Initial assessments in the vaccine trial (ARI Day 1) were suggestive of less severe illness than in the observational studies with hospitalized patients. CFA loadings (> 0.40) supported summary scores. ICCs exceeding the recommended threshold of 0.70 supported test-retest reliability for Respiratory and Systemic Symptoms, except in the small observational study. At the scale level, correlations were moderate to strong (|r| ≥ 0.3) and positive between the Respiratory Symptoms Scale and the related clinical questionnaire scores, reflecting measurement of similar symptoms in support of convergent validity. Correlations with change in Patient Global Impression of Severity > 0.30 supported responsiveness.
CONCLUSIONS
Psychometric tests applied to the RiiQ™ Symptoms scales provide evidence of its reliability, construct validity, discriminating ability, and responsiveness for use in clinical studies to assess the onset and severity of RSV symptoms.

Identifiants

pubmed: 37261682
doi: 10.1186/s41687-023-00593-9
pii: 10.1186/s41687-023-00593-9
pmc: PMC10235291
doi:

Types de publication

Observational Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

51

Informations de copyright

© 2023. The Author(s).

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Auteurs

Richard H Osborne (RH)

Measured Solutions for Health, P.O. Box 5127, Alphington, VIC, 3079, Australia. richard.o@measuredsolutions.com.au.
Centre of Global Health and Equity, Swinburne University of Technology, Hawthorn, VIC, Australia. richard.o@measuredsolutions.com.au.

Lauren M Nelson (LM)

RTI Health Solutions, Research Triangle Park, NC, USA.

Sheri Fehnel (S)

RTI Health Solutions, Research Triangle Park, NC, USA.

Nicole Williams (N)

RTI Health Solutions, Research Triangle Park, NC, USA.

Randall H Bender (RH)

RTI Health Solutions, Research Triangle Park, NC, USA.

Ryan Ziemiecki (R)

RTI Health Solutions, Research Triangle Park, NC, USA.

Efi Gymnopoulou (E)

Janssen Infectious Diseases, Beerse, Antwerp, Belgium.

Els De Paepe (E)

Janssen Infectious Diseases, Beerse, Antwerp, Belgium.

Yannick Vandendijck (Y)

Janssen Infectious Diseases, Beerse, Antwerp, Belgium.

Lindsey Norcross (L)

RTI Health Solutions, Research Triangle Park, NC, USA.

Esther Heijnen (E)

Janssen Infectious Diseases, Beerse, Antwerp, Belgium.

Gabriela Ispas (G)

Janssen Infectious Diseases, Beerse, Antwerp, Belgium.

Christy Comeaux (C)

Janssen Infectious Diseases, Beerse, Antwerp, Belgium.

Benoit Callendret (B)

Janssen Infectious Diseases, Beerse, Antwerp, Belgium.

Eric K H Chan (EKH)

Janssen Global Services, Raritan, NJ, USA.

Jane A Scott (JA)

Janssen Global Services, High Wycombe, Buckinghamshire, UK.

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