Evidence map›Paper›PMID 31845900›Full record

ArticleJournal of medical Internet research2019

Understanding Drivers of Resistance Toward Implementation of Web-Based Self-Management Tools in Routine Cancer Care Among Oncology Nurses: Cross-Sectional Survey Study.

Matthijs de Wit, Mirella Kleijnen, Birgit Lissenberg-Witte, Cornelia van Uden-Kraan, Kobe Millet, Ruud Frambach, Irma Verdonck-de Leeuw

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. 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

7 authors at 3 institutions in 1 country.

Matthijs de WitVrije Universiteit Amsterdam, Department of Clinical, Neuro- and Developmental Psychology, Amsterdam, Netherlands.ORCID 0000-0002-6455-4358
Mirella KleijnenVrije Universiteit Amsterdam, School of Business and Economics, Department of Marketing, Amsterdam, Netherlands.ORCID 0000-0002-7946-6959
Birgit Lissenberg-WitteAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam, Netherlands.ORCID 0000-0001-9448-1826
Cornelia van Uden-KraanVrije Universiteit Amsterdam, Department of Clinical, Neuro- and Developmental Psychology, Amsterdam, Netherlands.ORCID 0000-0002-3898-416X
Kobe MilletVrije Universiteit Amsterdam, School of Business and Economics, Department of Marketing, Amsterdam, Netherlands.ORCID 0000-0003-4365-6109
Ruud FrambachVrije Universiteit Amsterdam, School of Business and Economics, Department of Marketing, Amsterdam, Netherlands.ORCID 0000-0003-4193-8495
Irma Verdonck-de LeeuwVrije Universiteit Amsterdam, Department of Clinical, Neuro- and Developmental Psychology, Amsterdam, Netherlands.ORCID 0000-0002-4507-4607
Vrije Universiteit Amsterdam · NLAmsterdam University Medical Centers · NLCancer Center Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSupporting patients to engage in (Web-based) self-management tools is increasingly gaining importance, but the engagement of health care professionals is lagging behind. This can partly be explained by resistance among health care professionals.

objectiveThe aim of this study was to investigate drivers of resistance among oncology nurses toward Web-based self-management tools in cancer care.

methodsDrawing from previous research, combining clinical and marketing perspectives, and several variables and instruments, we developed the Resistance to Innovation model (RTI-model). The RTI-model distinguishes between passive and active resistance, which can be enhanced or reduced by functional drivers (incompatibility, complexity, lack of value, and risk) and psychological drivers (role ambiguity, social pressure from the institute, peers, and patients). Both types of drivers can be moderated by staff-, organization-, patient-, and environment-related factors. We executed a survey covering all components of the RTI-model on a cross-sectional sample of nurses working in oncology in the Netherlands. Structural equation modeling was used to test the full model, using a hierarchical approach. In total, 2500 nurses were approached, out of which 285 (11.40%) nurses responded.

resultsThe goodness of fit statistic of the uncorrected base model of the RTI-model (n=239) was acceptable (χ

conclusionsBoth passive and active resistance in oncology nurses toward Web-based self-management tools for patients with cancer are driven by functional and psychological drivers, which may be more or less strong, depending on expertise, managerial support, and governmental influence.

Indexed as

Attitude of Health PersonnelInternetPractice Patterns, Nurses'Self-ManagementAdultCross-Sectional StudiesFemaleHumansInventionsMaleNeoplasmsNetherlandsNursing Staff, HospitalOncology NursingSurveys and QuestionnairesTelemedicineeHealthhealth-related quality of lifeimplementation sciencepsycho-oncologyresistance to innovationsself-management

Identifiers

PMID31845900
PMCPMC6938592
OpenAlexW2982183242

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.