Evidence map›Paper›PMID 37756049›Full record

ArticleJMIR human factors2023

Preferences of Patients With Musculoskeletal Disorders Regarding the Timing and Channel of eHealth and Factors Influencing Its Use: Mixed Methods Study.

Jeffrey van der Ven, Bart J F van den Bemt, Liset van Dijk, Merel Opdam, Lex L Haegens, Johanna E Vriezekolk, Lise M Verhoef

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
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

7 authors at 3 institutions in 1 country.

Jeffrey van der VenDepartment of Research, Sint Maartenskliniek, Ubbergen, Netherlands.ORCID 0000-0003-0897-2149
Bart J F van den BemtDepartment of Research, Sint Maartenskliniek, Ubbergen, Netherlands.ORCID 0000-0002-8560-9514
Liset van DijkNivel, Netherlands Institute for Health Services Research, Utrecht, Netherlands.ORCID 0000-0003-3277-4740
Merel OpdamDepartment of Research, Sint Maartenskliniek, Ubbergen, Netherlands.ORCID 0000-0003-3385-8807
Lex L HaegensDepartment of Research, Sint Maartenskliniek, Ubbergen, Netherlands.ORCID 0000-0003-1850-4365
Johanna E VriezekolkDepartment of Research, Sint Maartenskliniek, Ubbergen, Netherlands.ORCID 0000-0003-4783-8663
Lise M VerhoefDepartment of Research, Sint Maartenskliniek, Ubbergen, Netherlands.ORCID 0000-0002-9740-5607
Radboud University Nijmegen · NLSint Maartenskliniek · NLNetherlands Institute for Health Services Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImplementation of eHealth is progressing slowly. In-depth insight into patients' preferences and needs regarding eHealth might improve its use.

objectiveThis study aimed to describe when patients want to use eHealth, how patients want to communicate and receive information digitally, and what factors influence the use of eHealth in clinical practice.

methodsA multimethod study was conducted. Two meetings of ~5.5 hours with plenary information sessions and focus groups were held with 22 patients from the rheumatology, orthopedics, and rehabilitation departments of a Dutch hospital specialized in musculoskeletal disorders. Assignments were performed during the focus groups in which qualitative (eg, semistructured interview questions) and quantitative (ie, voting and ranking factors) data were collected.

resultsThe way patients want to use eHealth varies between patients and moments of a patient's care pathway. Patients' digital channel preferences depended on the need for interaction with a health care provider (HCP). The interaction need is in turn influenced by the degree to which information or communication is specific to an individual patient and leads to consequences for the patient. The 5 most important factors influencing the use of eHealth were access to medical information (eg, electronic health records), perceived control over disease management, correctness and completeness of information, data security, and access to information or an HCP at any time. The 5 least important factors influencing eHealth use were help with using digital devices, having internet or equipment, digital skills, attitude or emotions toward eHealth, and societal benefits.

conclusionsPatients identified opportunities for using eHealth during all moments of their care pathway. However, preferences for eHealth varied between patients and phases in the care pathway. As a consequence, eHealth should be tailored to fit individual patients' preferences but also the need for interaction regarding different topics by offering a variety of digital channels with a gradient of interaction possibilities. Furthermore, digital skills and access to the internet might become less important to focus on in the future. Improving eHealth use by patients may be achieved by providing patients access to correct and safe (medical) information and more control over their care.

Indexed as

Musculoskeletal DiseasesCommunicationCritical PathwaysDisease ManagementElectronic Health RecordsHumansarthritisCapability, Opportunity, Motivation and Behavior Modelchronic diseaseschronic illnesscitizencitizen sciencecivicCOM-Bdigital hospital serviceseHealthfocus grouphealth techkinesiomultiple methodsmusculoskeletalmusculoskeletal disordersorthopedicperspectivesphysiopreferencesrehabilitationrheumarheumatoid arthritissemistructured interviewsocietytelehealthtelemedicinethematic analysis

Identifiers

PMID37756049
PMCPMC10568401
OpenAlexW4385071487

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.