Evidence map›Paper›PMID 38066618›Full record

ArticleTrials2023

Reducing sick leave, improving work ability, and quality of life in patients with mild to moderate Long COVID through psychosocial, physiotherapeutic, and nutritive supportive digital intervention (MiLoCoDaS): study protocol for a randomized controlled trial.

Adrian Krotz, Nadia Sosnowsky-Waschek, Stephanie Bechtel, Christine Neumann, Monika Lohkamp, Gabor Kovacs, Bernd Genser, Joachim E Fischer

Abstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Adrian KrotzCenter for Preventive Medicine and Digital Health (CPD), Division of General Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany. adrian.krotz@medma.uni-heidelberg.de.ORCID http://orcid.org/0009-0009-0494-4440
Nadia Sosnowsky-WaschekSchool of Applied Psychology, SRH University of Applied Sciences Heidelberg, Heidelberg, Germany.
Stephanie BechtelCenter for Preventive Medicine and Digital Health (CPD), Division of General Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Christine NeumannCenter for Preventive Medicine and Digital Health (CPD), Division of General Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Monika LohkampSchool of Therapeutic Sciences, SRH University of Applied Sciences Heidelberg, Heidelberg, Germany.
Gabor KovacsDepartment of Applied Digital Product Development, SRH Berlin University of Applied Sciences, Berlin, Germany.
Bernd GenserHigh5Data, Heidelberg, Germany.
Joachim E FischerCenter for Preventive Medicine and Digital Health (CPD), Division of General Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFollowing SARS-CoV-2 infection, a relevant proportion of patients suffer from persistent or recurring sequela, even after initially mild primary illness. Many patients experience exhaustion and fatigue, rendering them incapable of working. Long COVID exerts a substantial burden on society and the healthcare system: at least 65 million people are currently affected worldwide. The underlying pathobiology is a complex derangement in several organ systems. To date, causal pharmaceutical therapies remain elusive. Waiting lists for specialist care are long. Rapidly scalable digital interventions offering support for the frequent subgroup of patients with mild to moderate impairment from Long COVID are urgently needed. The MiLoCoDaS study compares three intensities of a potentially rapidly scalable digital intervention aiming to accelerate recovery. The overall objective is to figure out if there is a difference in the effect sizes between these modalities.

methodsThe online intervention uses a learning platform (LMS, TYPO3 framework) comprising 12 sessions of medical, psychological, physiotherapeutic, and nutritional content. The three modalities differ as follows: patient information only (sham intervention, control), information plus interactive digital workbook including practical exercises (digital intervention), and the digital workbook augmented by once-weekly online seminars and discussion groups (person and peer-contact). Eligible patients are 18-67 years old satisfying Long COVID diagnostic criteria. Patients are recruited through primary care physicians and randomly allocated. The primary endpoint is the number of sick leave days during the 6-month observation period; secondary endpoints are patient-reported symptoms, quality of life, and work ability. The study size provides a power of 80% at a type I error of < 0.05 to show an effect size of Cohen = 0.3 between the augmented and the sham intervention (N = 152 per arm, total accounting for attrition N = 600). DISCUSSION: If one of the two interventions is superior to providing information alone, MiLoCoDaS would provide the starting point for a rapidly scalable digital intervention for the frequent and currently underserved patient group with mild to moderate impairment from Long COVID. Several caveats pertain to the heterogeneity of Long COVID manifestation and duration prior to inclusion. It is conceivable that the possible effect of the intervention may differ across subgroups. Therefore, a priori defined secondary analysis will be conducted.

trial registrationGerman Clinical Trials Register (DRKS) DRKS00028964. Registered on 24 August 2022.

Indexed as

COVID-19AdolescentAdultAgedHumansMiddle AgedPost-Acute COVID-19 SyndromeQuality of LifeRandomized Controlled Trials as TopicSARS-CoV-2Sick LeaveWork Capacity EvaluationYoung AdultDigital interventionFatigueLong COVIDLong-term follow-upPost-acute COVID-19 syndromePost-COVID conditionPsychological supportRandomized controlled trialSick leaveWork ability

Identifiers

PMID38066618
PMCPMC10709981

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.