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

Hants Williams; Sarah Steinberg; Kendall Leon; Ryan Vingum; Mengyao Hu; Robin Berzin; Heather Hagg; Patrick Hanaway

doi:10.2196/53316

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. 2024 Feb 16:8:e53316. doi: 10.2196/53316.

Authors

Hants Williams^#¹, Sarah Steinberg^#², Kendall Leon³, Ryan Vingum³, Mengyao Hu¹, Robin Berzin², Heather Hagg², Patrick Hanaway⁴

Affiliations

¹ Applied Health Informatics, School of Health Professions, Stony Brook University, Stony Brook, NY, United States.
² Parsley Health, New York, NY, United States.
³ Untold Content, Cincinnati, OH, United States.
⁴ Family to Family, Weaverville, NC, United States.

^# Contributed equally.

PMID: 38363587
PMCID: PMC10907938
DOI: 10.2196/53316

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.

Keywords: PROM; PSI; Parsley Symptom Index; chronic disease; eHealth; ePROM; mHealth; patient-reported outcome measure; telehealth; telemedicine; validation; web-based.

©Hants Williams, Sarah Steinberg, Kendall Leon, Ryan Vingum, Mengyao Hu, Robin Berzin, Heather Hagg, Patrick Hanaway. Originally published in JMIR Formative Research (https://formative.jmir.org), 16.02.2024.