Protocol Energy management education for persons living with long COVID-related fatigue (EMERGE): protocol... 2025 Hersche et al

Andy

Retired committee member
Full title: Energy management education for persons living with long COVID-related fatigue (EMERGE): protocol of a two-parallel arms target trial emulation study in a multicentre outpatient intervention setting with an online control group register.

Abstract

Introduction
Energy management education (EME) is a manualised, evidence-based self-management education programme developed and delivered by occupational therapists for persons living with chronic disease-related fatigue. Studies have shown that EME can positively affect self-efficacy, fatigue impact and quality of life in persons with chronic conditions, while data on persons with long COVID are lacking.

The primary aim is to evaluate if adding EME to the standard care improves outcomes in persons with long COVID-related fatigue. The secondary aim is to explore the energy management behavioural strategies applied in daily routines and investigate the influencing factors of implementing behavioural changes. The third aim is to perform a cost-effectiveness analysis of EME.

Methods and analysis
Using observational data, we will emulate a prospective two-parallel arms target trial to assess whether adding EME to the standard care is associated with improved outcomes in patients with long COVID-related fatigue. The estimated sample size to detect a post-intervention difference of 1.5 points in self-efficacy to implement energy conservation strategies with 90% power (0.05 alpha) is 122 people (1:1 ratio).

Persons with long COVID-related fatigue who follow EME as part of their standard care will be recruited and included in the experimental group (EG), while potential participants for the control group (CG) will be recruited from a register and prospectively matched to a participant in the EG by applying the propensity score technique. The ‘standard of care’ of the CG will include any intervention, except occupational therapy-based EME in peer groups. The causal contrast of interest will be the per-protocol effect. Four self-reported questionnaires (fatigue impact, self-efficacy in performing energy management strategies, competency in performing daily activities, health-related quality of life) will be administered at baseline (T0; week 0), after lesson 7 (T1; week 6), post-intervention (T2; week 14) and follow-up (T3, week 24). Our main assessment will be at T2. Disease-related and productivity cost data will be collected, and a cost-effectiveness profile of the EME intervention will be compared with standard care.

Ethics and dissemination
Ethical approval has been obtained from the competent Swiss ethics commission.

Findings will be reported (1) to the study participants; (2) to patient organisations and hospitals supporting EMERGE; (3) to funding bodies; (4) to the national and international occupational therapy community and healthcare policy; (5) will be presented at local, national, and international conferences and (6) will be disseminated by peer-review publications.

Open access
 
Shall we guess the results? Questionnaires will show small but probably not clinically significant improvements in the intervention group; "this shows that the intervention is safe and acceptable to patients... more research is warranted..."
 
Here's how they describe the intervention. It looks like pacing but in rehabilitation and CBT-context. I doubt it will be successful. IMHO pacing is more a way of coping than an effective intervention.
In 2017, group-based energy management education (EME) was developed for persons with multiple sclerosis-related fatigue.

...

EME aims to increase self-management skills for managing the available amount of energy and achieving a satisfactory and meaningful daily routine despite fatigue. During EME, participants learn about the factors influencing their energy level and experiment with skills to manage their energy using behavioural strategies (eg, pace, plan and prioritise activities and optimise communication, environment and ergonomic behaviour). Subsequently, they identify and implement tailored behavioural modifications. To support the reflection on and use of energymanaging strategies and new behaviours, the leading OTs use behavioural change techniques.
 
It also writes:
We hypothesised, therefore, a difference of 1.5 points at T2 and conservative assumption of a SD of 2.2 points.38 Including a follow-up rate of 24% at T2, the estimated sample size to detect a difference of 1.5 points with 90% power (0.05 alpha) is 122 persons.
So they aim to find an effect of 1.5/2.2 = 0.68 standard deviations. That seems unrealistically large.
 
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