Evidence map›Paper›PMID 30021535›Full record

ArticleBMC family practice2018

Implementing telemonitoring in primary care: learning from a large qualitative dataset gathered during a series of studies.

Janet Hanley, Hilary Pinnock, Mary Paterson, Brian McKinstry

Abstract read
In one paragraph

Article in BMC family practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Patients' and GPs' views and expectations of home monitoring with a pulse oximeter: a mixed-methods process evaluation of a pilot randomised controlled trial.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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  17. What next for COVID Oximetry and virtual ward?The British journal of general practice : the journal of the Royal College of General Practitioners · 2021
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  19. Contribution of telemedicine and information technology to hypertension control.Hypertension research : official journal of the Japanese Society of Hypertension · 2020
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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

4 authors.

Janet HanleySchool of Health and Social Care, Edinburgh Napier University, Sighthill Campus, Sighthill Court, Edinburgh, EH11 4BN, UK. j.hanley@napier.ac.uk.ORCID 0000-0003-1728-0136
Hilary PinnockAllergy and Respiratory Research Group, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK.
Mary PatersonE-Health Research Group, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Nine Edinburgh BioQuarter, Edinburgh, EH16 4UX, UK.
Brian McKinstryE-Health Research Group, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Nine Edinburgh BioQuarter, Edinburgh, EH16 4UX, UK.

Funding

OVARIAN ANDROGEN BIOSYNTHESIS;REGULATION AND DISORDERSF05TW004826 · FIC · UNIVERSITY OF MARYLAND BALTIMORE · PI RUUTIAINEN, KRISTIINA S · 1992 to 1993
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Chief Scientist Office ARPG/07/03Chief Scientist Office CZG/2/547Chief Scientist Office CZH/4/826
6 · The paper itself

Abstract

backgroundTelemonitoring for long term conditions such as hypertension and diabetes has not been widely adopted despite evidence of efficacy in trials and policy support. The Telescot programme comprised a series of seven trials and observational studies of telemonitoring for long term conditions in primary care, all with an explanatory qualitative component which had been analysed and published separately. There were changes to the models of care within and between studies and combining datasets would provide a longitudinal view of the evolution of primary care based telemonitoring services that was not available in the individual studies, as well as allowing comparison across the different conditions monitored. We aimed to explore what drove changes to the way telemonitoring was implemented, compare experience of telemonitoring across the range of long term conditions, and identify what issues, in the experience of the participants, need to be considered in implementing new telemonitoring systems.

methodSynthesis and thematic reanalysis of transcribed qualitative interview and focus group data from the Telescot programme adopting an interpretive description approach. All transcribed and coded text was re-read and data relating to the experience of the telemonitoring services, perceptions of future use and strategies for implementation were recoded into one consistent system. This was analysed thematically.

resultsThe combined dataset contained transcribed qualitative interview and focus group data from 181 patients and 109 professionals. Four major themes were identified, using data, empowering patients, adjusting the model of care and system design.

conclusionTelemonitoring was valued by patients who found it empowering and convenient. This, combined with initial professional concern that increased surveillance may create dependency led to the development of a more patient led service. However, despite a number of initial concerns being addressed as the service evolved, primary care professionals identified a number of barriers to widespread routine adoption of telemonitoring, many of which could be addressed by improved system design.

Indexed as

Primary Health CareTelemetryAgedFemaleHumansMaleMiddle AgedPatient ParticipationQualitative ResearchChronic Obstructive Pulmonary Disease (COPD)DiabetesE-healthHypertensionPrimary careQualitative researchTelemonitoring

Identifiers

PMID30021535
PMCPMC6052602

What OpenQuestion holds

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Registered trials

None linked

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.