Evidence map›Paper›PMID 26810998›Full record

ArticleBMJ open2016

Wearable technologies in osteoarthritis: a qualitative study of clinicians' preferences.

Enrica Papi, Ged M Murtagh, Alison H McGregor

Abstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Usability Assessment of Technologies for Remote Monitoring of Knee Osteoarthritis.IEEE open journal of engineering in medicine and biology · 2024
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  12. Article
  13. Article
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  15. Article
  16. Review
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  18. Observational
  19. Article
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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

3 authors.

Enrica PapiDepartment of Surgery and Cancer, Imperial College London, Charing Cross Hospital, London, UK.
Ged M MurtaghDepartment of Surgery and Cancer, Imperial College London, St Mary's Campus, London, UK.
Alison H McGregorDepartment of Surgery and Cancer, Imperial College London, Charing Cross Hospital, London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveThis study investigates clinicians' views of health-related wearable technologies in the context of supporting osteoarthritis (OA) long-term management. Clinicians' preferences are critical in identifying realistic implementation strategies for such technologies.

designQualitative study incorporating an inductive thematic analysis applied to identify key themes from clinicians' responses.

participantsClinicians, including 4 general practitioners, 4 physiotherapists and 5 orthopaedic surgeons were interviewed.

settingThe study was conducted in a University setting.

resultsParticipants all agreed wearable technologies could positively complement their role and enhance their relationship with patients. Perceived benefits of wearable technologies included monitoring patients' progress, treatment evaluation, monitoring compliance and informing clinical decision-making. The device should be designed to provide objective data of patients' locomotion capability in an easy and timely fashion via a simple interface. Data should be available to both clinicians and patients to provide them with the motivation to achieve clinical goals and allow them to take ownership of their treatment. The use of technology was also seen as a way to more effectively plan treatment and manage patients' contact time saving time and cost.

conclusionsFindings support the use of wearable technologies to enhance current OA management and suggest clinical uses. Adoption of technologies could have implications on the effectiveness of treatment provided overcoming current barriers, in particular compliance with treatment.

Indexed as

Attitude of Health PersonnelBiomedical TechnologyGeneral PractitionersPhysical TherapistsSurgeonsAdultAgedHumansMiddle AgedMonitoring, AmbulatoryOsteoarthritisPatient ComplianceQualitative ResearchcliniciansinterviewsOsteoarthritisRehabilitationwearable technology

Identifiers

PMID26810998
PMCPMC4735169

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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.