Evidence map›Paper›PMID 31066710›Full record

ArticleJMIR mHealth and uHealth2019

Clinicians' Role in the Adoption of an Oncology Decision Support App in Europe and Its Implications for Organizational Practices: Qualitative Case Study.

Christine Jacob, Antonio Sanchez-Vazquez, Chris Ivory

Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03989401 (If Muti-media Health Education Reduces the Workload of Nurses Without Affecting Patient's Satisfaction), which is not on this map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 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.

NCT03989401 nacompletednot on this map

If Muti-media Health Education Reduces the Workload of Nurses Without Affecting Patient's Satisfaction:a Perspective Randomized Controlled Trial

TypeinterventionalSponsorHepatopancreatobiliary Surgery Institute of Gansu ProvinceRan2019 to 2022Enrolled184ConditionsHealth EducationArmsMultimedia video health education
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  20. Patient's Perspective of Telemedicine in Poland-A Two-Year Pandemic Picture.International journal of environmental research and public health · 2022
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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.

Christine JacobAnglia Ruskin University, Cambridge, United Kingdom.ORCID 0000-0002-8817-0148
Antonio Sanchez-VazquezInnovation and Management Practice Research Centre, Anglia Ruskin University, Cambridge, United Kingdom.ORCID 0000-0002-1241-8098
Chris IvoryInnovation and Management Practice Research Centre, Anglia Ruskin University, Cambridge, United Kingdom.ORCID 0000-0003-1567-3294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the existence of adequate technological infrastructure and clearer policies, there are situations where users, mainly physicians, resist mobile health (mHealth) solutions. This is of particular concern, bearing in mind that several studies, both in developed and developing countries, showed that clinicians' adoption is the most influential factor in such solutions' success.

objectiveThe aim of this study was to focus on understanding clinicians' roles in the adoption of an oncology decision support app, the factors impacting this adoption, and its implications for organizational and social practices.

methodsA qualitative case study of a decision support app in oncology, called ONCOassist, was conducted. The data were collected through 17 in-depth interviews with clinicians and nurses in the United Kingdom, Ireland, France, Italy, Spain, and Portugal.

resultsThis case demonstrates the affordances and constraints of mHealth technology at the workplace, its implications for the organization of work, and clinicians' role in its constant development and adoption. The research findings confirmed that factors such as app operation and stability, ease of use, usefulness, cost, and portability play a major role in the adoption decision; however, other social factors such as endorsement, neutrality of the content, attitude toward technology, existing workload, and internal organizational politics are also reported as key determinants of clinicians' adoption. Interoperability and cultural views of mobile usage at work are the key workflow disadvantages, whereas higher efficiency and performance, sharpened practice, and location flexibility are the main workflow advantages.

conclusionsSeveral organizational implications emerged, suggesting the need for some actions such as fostering a work culture that embraces new technologies and the creation of new digital roles for clinicians both on the hospitals or clinics and on the development sides but also more collaboration between health care organizations and digital health providers to enable electronic medical record integration and solving of any interoperability issues. From a theoretical perspective, we also suggest the addition of a fourth step to Leonardi's methodological guidance that accounts for user engagement; embedding the users in the continuous design and development processes ensures the understanding of user-specific affordances that can then be made more obvious to other users and increase the potential of such tools to go beyond their technological features and have a higher impact on workflow and the organizing process.

Indexed as

AdultAttitude of Health PersonnelCase-Control StudiesDecision Support TechniquesEuropeFemaleHealth PersonnelHumansInterviews as TopicMaleMedical OncologyMiddle AgedMobile ApplicationsProfessional RoleQualitative Researchcell phoneeHealthelectronic health recordhealth educationmHealthmobile healthoncologistsperceptionpublic health practicesmartphonetechnologytelehealthtelemedicineworkflowworkloadworkplace

Identifiers

PMID31066710
PMCPMC6524456

What OpenQuestion holds

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LicenceCC BY
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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.