# Assessing a multicomponent intervention to improve quality of life in individuals with Long COVID (COVIDL/MIQoL): study protocol for a randomized controlled trial

**Authors:** Mireia Morera, Antonio Arévalo, Cristina Garriga, Marta Corral-Magaña, Mari Carmen García-Arqué, Marta Gragea-Nocete, Cristina Pérez Díaz, Ramon Roca, Maria Llistosella

PMC · DOI: 10.3389/fpubh.2025.1604971 · Frontiers in Public Health · 2025-05-19

## TL;DR

This study tests a combined psychological and physical therapy intervention to improve quality of life for people with Long COVID.

## Contribution

A novel multicomponent intervention protocol is being evaluated for Long COVID patients through a randomized controlled trial.

## Key findings

- The study will assess quality of life, well-being, anxiety, depression, resilience, fatigue, and physical activity in participants.
- An intention-to-treat analysis and Cohen’s d effect size calculation will be used to evaluate intervention effectiveness.
- Results will be shared with patients, families, healthcare professionals, and the scientific community.

## Abstract

The impact of Long COVID on the quality of life of affected individuals is significant, therefore, the aim of this study is to analyse the effectiveness of the multicomponent intervention protocol to improve quality of life in individuals with Long COVID.

A randomized controlled trial with two parallel arms will be conducted. Individuals diagnosed with Long COVID, but without any severe mental disorders, will be recruited. The sample size is estimated to be around 54 participants per group. A psychologist and a physiotherapist will carry out the intervention between January and March 2025. Participants will receive specific training in psycho-education and physical rehabilitation consisting of 18 sessions, to be held twice a week. Data collection will start in January 2025 and will finish in October 2025. Data will be collected: at baseline, before the intervention (T0); after 9 weeks, post-intervention (T1); and after 24 weeks, follow-up (T2), and will assess quality of live, well-being, anxiety, depression resilience, fatigue, and physical activity. An intention-to-treat analysis will be performed and the effect size will be calculated using Cohen’s d. All statistical analyses will be performed using R software version 4.2.2, with a 95% confidence level and a statistical significance level of p < 0.05.

The results will be disseminated to individuals with Long COVID and their families throughout their primary health care center. Healthcare professionals will receive specific training to be able to develop and implement the intervention. In addition, the results will be disseminated to the scientific community via conferences and publications.

https://register.clinicaltrials.gov/prs/beta/studies/S000ENW100000080/recordSummary, Identifier NCT06492590.

## Full-text entities

- **Diseases:** depression (MESH:D003866), mental disorders (MESH:D001523), Long COVID (MESH:D000094024), anxiety (MESH:D001007), fatigue (MESH:D005221)

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12127158/full.md

## References

29 references — full list in the complete paper: https://tomesphere.com/paper/PMC12127158/full.md

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Source: https://tomesphere.com/paper/PMC12127158