Evidence map›Paper›PMID 42080492›Full record

ArticleJournal of primary care & community health

Evaluating a Digital Patient Reported Outcome Measure for Long COVID in a Community Rehabilitation Service.

Hannah Brady Sawant, Denise Ross, Thuvia Flannery, Rachel Tarrant, Jenna Haugh, Jennifer Grimaldi, Paul Mackreth, Manoj Sivan

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hannah Brady SawantLeeds Community Healthcare NHS Trust, UK.ORCID 0000-0003-3378-8052
Denise RossUniversity of Leeds, UK.
Thuvia FlanneryLeeds Community Healthcare NHS Trust, UK.
Rachel TarrantLeeds Community Healthcare NHS Trust, UK.
Jenna HaughLeeds Community Healthcare NHS Trust, UK.
Jennifer GrimaldiLeeds Community Healthcare NHS Trust, UK.
Paul MackrethLeeds Beckett University, UK.
Manoj SivanLeeds Community Healthcare NHS Trust, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong COVID presents with a wide range of persistent symptoms which can significantly affect daily functioning and increases pressure on already stretched National Health Service. A Digital Patient-Reported Outcome Measure application incorporating 4 outcome measure scales (COVID-19-Yorkshire Rehabilitation Scale, EuroQol 5 Dimension Scale, Modified Fatigue Impact Scale, and Medical Research Council Dyspnoea Scale) was introduced into a Long COVID community rehabilitation pathway in 2021. However, there was little known about its acceptability, uptake, or user experience.

methodsA qualitative service evaluation was conducted. Quantitative data was collected, over 2 months, from 100 people using the service, including registration, usage patterns, and demographics. Semi structured questionnaires collected qualitative data from 20 participants. Template analysis was used to explore experiences, enablers, and barriers.

resultsOf 100 participants, 38 were active app users, 46 were non active users, and 16 did not register. Engagement varied, depending on education employment status and digital literacy. Four themes emerged from qualitative data collected from 20 service users: Technology, Personal Experience, Symptom Tracking, and Support Requirements. Digital symptom monitoring was valued, but challenges were identified with navigation, clarity of the questions, guidance of use, and awareness of key functions such as symptom tracking graphs. CONCLUSION(S): Opportunities were identified for development of the use of Digital Patient-Reported Outcome Measures. User feedback highlighted the need for improved usability, clearer information, and increased guidance to optimise engagement. These insights inform recommendations for the development and implementation of future Digital Patient Reported Outcome Measures.

Indexed as

COVID-19Patient Reported Outcome MeasuresAdultAgedCommunity Health ServicesDigital HealthFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeQualitative ResearchSARS-CoV-2Surveys and QuestionnairesTelemedicinedigital healtheHealthlong-term conditionsmobile applicationsself-management

Identifiers

PMID42080492
PMCPMC13157577

What OpenQuestion holds

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LicenceCC BY-NC
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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.