Evidence map›Paper›PMID 34398794›Full record

ArticleJMIR medical informatics2021

Communicating the Implementation of Open Notes to Health Care Professionals: Mixed Methods Study.

Karin Jonnergård, Lena Petersson, Gudbjörg Erlingsdóttir

Abstract read
In one paragraph

Article in JMIR medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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.

Karin JonnergårdDepartment of Business Administration, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0002-9286-8792
Lena PeterssonDepartment of Design Sciences, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0001-7874-7970
Gudbjörg ErlingsdóttirDepartment of Design Sciences, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0002-6308-3662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe literature on how to communicate reform in organizations has mainly focused on levels of hierarchy and has largely ignored the variety of professions that may be found within an organization. In this study, we focus on the relationship between media type and professional responses.

objectiveThe objective of this study was to investigate whether and how belonging to a profession influences the choice of communication media and the perception of information when a technical innovation is implemented in a health care setting.

methodsThis study followed a mixed methods design based on observations and participant studies, as well as a survey of professionals in psychiatric health care in Sweden. The χ2 test was used to detect differences in perceptions between professional groups.

resultsThe use of available communication media differed among professions. These differences seem to be related to the status attached to each profession. The sense-making of the information appears to be similar among the professions, but is based on their traditional professional norms rather than on reflection on the reform at hand.

conclusionsWhen communicating about the implementation of a new technology, the choice of media and the message need to be attuned to the employees in both hierarchical and professional terms. This also applies to situations where professional employees are only indirectly affected by the implementation. A differentiated communication strategy is preferred over a downward cascade of information.

Indexed as

communication strategyeHealthEHRelectronic health recordshealth careimplementationOpen NotesPAEHRsprofessionstelemedicine

Identifiers

PMID34398794
PMCPMC8406101

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.