Evidence map›Paper›PMID 31640994›Full record

Trial reportBMJ open2019

Process evaluation and exploration of telehealth in motor neuron disease in a UK specialist centre.

Esther Hobson, Wendy Baird, Mike Bradburn, Cindy Cooper, Susan Mawson, Ann Quinn, Pamela J Shaw, Theresa Walsh, Christopher J McDermott

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07132879 (Telehealth in MND-Research), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% of its field
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.

NCT07132879 recruitingnot on this mapstarted 2024, after this paper: background citation

Telehealth in MND-Research (TIM-R): A Research Database for MND

Typeobservational_patient_registrySponsorUniversity of SheffieldRan2024 to 2074Enrolled1,000ConditionsMND (Motor Neurone DIsease)ArmsNo intervention - Prospective cohort study
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 3 institutions in 1 country.

Esther HobsonSheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK e.hobson@sheffield.ac.uk.ORCID 0000-0002-8497-2338
Wendy BairdSchool of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-4253-2721
Mike BradburnClinical Trials Research Unit, School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-3783-9761
Cindy CooperClinical Trials Research Unit, School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-2995-5447
Susan MawsonSchool of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0003-2795-8983
Ann QuinnSheffield Motor Neurone Disease Association Research Advisory Group, Sheffield, UK.
Pamela J ShawSheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.ORCID 0000-0002-8925-2567
Theresa WalshSheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.
Christopher J McDermottSheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.ORCID 0000-0002-1269-9053
Sheffield Teaching Hospitals NHS Foundation Trust · GBUniversity of Sheffield · GBMotor Neurone Disease Association · GB

Funding

Department of Health DRF-2013-06-076
6 · The paper itself

Abstract

objectivesTo evaluate the processes involved in using a novel digitally enabled healthcare system (telehealth in motor neuron disease (TiM)) in people living with motor neuron disease (MND) and their informal carers. We examined TiM implementation, potential mechanisms of impact and contextual factors that might influence TiM implementation or impact.

designAn 18-month, single-centre process evaluation within a randomised, pilot and feasibility study.

interventionTiM plus usual care versus usual care alone.

settingA specialist UK MND care centre.

participants40 patients with MND and 37 primary informal carers. PRIMARY AND SECONDARY OUTCOME MEASURES: Patient, carer and staff outcomes and experiences using semistructured interviews. Descriptive data on implementation and use of TiM.

resultsThe TiM was acceptable and accessible to patients, carers and staff. Intervention uptake and adherence were good: 14 (70%) patients completed a TiM session at least fortnightly. Barriers to TiM use (such as technology experience and disability) were overcome with well-designed technology and face-to-face training. Reported potential benefits of TiM included improved communication and care coordination, reassurance, identification of complications and the potential for TiM to be an alternative or addition to clinic. Benefits depended on patients' current level of needs or disability. The main challenges were the large number of alerts that were generated by TiM, how the clinicians responded to these alerts and the mismatch between patient/carer expectations and nurses actions. This could be improved by better communication systems and adjusting the alerts algorithm.

conclusionTiM has the potential to facilitate access to specialist care, but further iterative developments to the intervention and process evaluations of the TiM in different services are required. TRIAL IDENTIFIER NUMBER: ISRCTN26675465.

Indexed as

Process Assessment, Health CareTelemedicineAdultAgedCommunicationFeasibility StudiesFemaleHealth Services AccessibilityHumansMaleMiddle AgedMotor Neuron DiseasePilot ProjectsUnited Kingdomamyotrophic lateral sclerosismotor neuron diseaseprocess evaluationqualitativetelehealthtelemedicine

Identifiers

PMID31640994
PMCPMC6830641
OpenAlexW2981692345

What OpenQuestion holds

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Registered trials

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.