Scientific Reports (Sep 2023)

Integrating patient-reported physical, mental, and social impacts to classify long COVID experiences

  • Keri Vartanian,
  • Daniel Fish,
  • Natalie Kenton,
  • Benjamin Gronowski,
  • Bill Wright,
  • Ari Robicsek

DOI
https://doi.org/10.1038/s41598-023-43615-8
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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Abstract Long COVID was originally identified through patient-reported experiences of prolonged symptoms. Many studies have begun to describe long COVID; however, this work typically focuses on medical records, instead of patient experiences, and lacks a comprehensive view of physical, mental, and social impacts. As part of our larger My COVID Diary (MCD) study, we captured patient experiences using a prospective and longitudinal patient-reported outcomes survey (PROMIS-10) and free-text narrative submissions. From this study population, we selected individuals who were still engaged in the MCD study and reporting poor health (PROMIS-10 scores < 3) at 6 months (n = 634). We used their PROMIS-10 and narrative data to describe and classify their long COVID experiences. Using Latent Class Analysis of the PROMIS-10 data, we identified four classifications of long COVID experiences: a few lingering issues (n = 107), significant physical symptoms (n = 113), ongoing mental and cognitive struggles (n = 235), and numerous compounding challenges (n = 179); each classification included a mix of physical, mental, and social health struggles with varying levels of impairment. The classifications were reinforced and further explained by patient narratives. These results provide a new understanding of the varying ways that long COVID presents to help identify and care for patients.