Evidence map›Paper›PMID 30349347›Full record

ArticleInternational journal of general medicine2018

What factors influence the use of electronic health records during the first 10 minutes of the clinical encounter?

Cédric Lanier, Bernard Cerutti, Melissa Dominicé Dao, Patricia Hudelson, Noëlle Junod Perron

Abstract read
In one paragraph

Article in International journal of general medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

5 authors.

Cédric LanierPrimary Care Unit, Faculty of Medicine, University of Geneva, Geneva, Switzerland, cedric.lanier@unige.ch.
Bernard CeruttiFaculty of Medicine, University of Geneva, Geneva, Switzerland.
Melissa Dominicé DaoDepartment of Community Medicine, Primary Care and Emergencies, Geneva University Hospitals, Geneva, Switzerland.
Patricia HudelsonDepartment of Community Medicine, Primary Care and Emergencies, Geneva University Hospitals, Geneva, Switzerland.
Noëlle Junod PerronDepartment of Community Medicine, Primary Care and Emergencies, Geneva University Hospitals, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe use of electronic health records (EHRs) by physicians during the consultation is common and can be problematic. Factors influencing the use of EHRs during clinical encounters include physician and patient characteristics, consultation type as well as spatial organization of the room and type of EHR template. Their relative importance is however not well known. This study aimed to explore to what extent several physician, patient and consultation factors were associated with EHR use during the first 10 minutes of primary care consultations.

methodsWe examined EHR use of 17 residents in 142 videotaped consultations at the Primary Care Division of the Geneva University Hospitals, Switzerland. We conducted univariable and multivariable analyses with patient, physician and consultation variables to predict EHR use: sex and age of the patient; physician's sex, age, postgraduate experience and EHR-use self-perception; and language, type of consultation (new/follow-up) and content of the consultation using the Roter interaction analysis system (RIAS), the main variable being the percentage of utterances in relation to EHR use during the first 10 minutes.

resultsMale physicians (residents) and those with less clinical experience and conducting a new consultation or addressing biomedical content were positively correlated with EHR use (+5.3% for male physicians,

conclusionOnly a small number of physician, patient and consultation factors appear to have an impact on the use of EHR during primary care consultations, and this impact remains modest. Given the influence of EHR use on physician-patient relationship, further research should explore what other factors are implicated in EHR use and whether they can be changed or improved.

Indexed as

computer useelectronic health recordpredicting factorsprimary care

Identifiers

PMID30349347
PMCPMC6183548

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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.