Predictive Criterion Validity of the Parsley Symptom Index Against the Patient-Reported Outcomes Measurement Information System-10 in a Chronic Disease Cohort: Retrospective Cohort Study.
JMIR Form Res
; 8: e53316, 2024 Feb 16.
Article
em En
| MEDLINE
| ID: mdl-38363587
ABSTRACT
BACKGROUND:
Approximately 60% of US adults live with chronic disease, imposing a significant burden on patients and the health care system. With the rise of telehealth, patient-reported outcomes measures (PROMs) have emerged as pivotal tools for managing chronic disease. While numerous PROMs exist, few have been designed explicitly for telehealth settings. The Parsley Symptom Index (PSI) is an electronic patient-reported outcome measure (ePROM) developed specifically for telehealth environments.OBJECTIVE:
Our aim is to determine whether the PSI predicts changes in the established Patient-Reported Outcomes Measurement Information System-10 (PROMIS-10) Global Health, a 10-question short form.METHODS:
We conducted a retrospective cohort study using data from 367 unique patients, amassing 1170 observations between August 30, 2017, and January 30, 2023. Patients completed the PSI and the PROMIS-10 multiple times throughout the study period. Using univariate regression models, we assess the predictive criterion validity of the PSI against PROMIS-10 scores.RESULTS:
This study revealed significant relationships between the PSI and PROMIS-10 physical and mental health scores through comprehensive univariate analyses, thus establishing support for the criterion validity of the PSI. These analyses highlighted the PSI's potential as an insightful tool for understanding and predicting both mental and physical health dimensions.CONCLUSIONS:
Our findings emphasize the importance of the PSI in capturing the nuanced interactions between symptomatology and health outcomes. These insights reinforce the value of the PSI in clinical contexts and support its potential as a versatile tool in both research and practice.
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Base de dados:
MEDLINE
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Idioma:
En
Revista:
JMIR Form Res
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Estados Unidos