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Journal article

Using an electronic device in the waiting room for patient engagement with a musculoskeletal patient registry: a mixed methods study

Abstract:
Objective

The purpose of this study was to explore whether patients with musculoskeletal conditions would agree to use digital technologies to learn about research registries and make a decision about signing up whilst in the clinic waiting room.

Methods

Patients were recruited from four hospital clinics across Oxfordshire. We used an explanatory mixed methods design with two sequential phases comprising an exploratory, cross-sectional questionnaire (n = 84), followed by focus group interviews (n = 8) to provide context for the findings from the questionnaire. Multivariate ordinal logistic regression models were used to explore relationships between patient preferences and characteristics. Thematic analysis was used to understand the reasons for patient preferences regarding digital technologies and research registries.

Results

As participants' age increased, they were more likely to report a preference for face-to-face recruitment methods compared to those using digital technologies. Findings from the focus groups indicated this was primarily due to a fear of technology and physical limitations associated with a patient's condition. Patients also reported a preference for making a decision about signing up at a later date, which was attributed to patients feeling distracted whilst in the waiting room due to anxieties related to their upcoming appointment.

Conclusions

Many patients with musculoskeletal conditions in the UK may be interested in learning about opportunities to participate in research whilst using digital technologies within the waiting room. The results suggest the need for choice regarding the presentation and format of information and whether it can be accessed at a later date at home.

Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1177/2055207617751304

Authors

More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Department of Population Health; Population Health
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Department of Population Health; Population Health
Role:
Author
ORCID:
0000-0003-2538-8366
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Department of Population Health; Population Health
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Department of Population Health; Population Health
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Psychiatry
Role:
Author


More from this funder
Grant:
Innovation Challenge Competition grant (ref. HFR00700


Publisher:
SAGE Publications
Journal:
Digital Health More from this journal
Volume:
4
Pages:
1–13
Publication date:
2018-01-10
Acceptance date:
2017-11-30
DOI:
EISSN:
2055-2076


Keywords:
Pubs id:
pubs:813619
UUID:
uuid:750fc4ab-24d3-48b1-ae3c-205dfdc22f80
Local pid:
pubs:813619
Source identifiers:
813619
Deposit date:
2018-01-16
ARK identifier:

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