Evidence map›Paper›PMID 26801630›Full record

ArticleBMC medical informatics and decision making2016

User perspectives on an electronic decision-support tool performing comprehensive medication reviews - a focus group study with physicians and nurses.

Tuomas Koskela, Saana Sandström, Joonas Mäkinen, Helena Liira

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
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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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

4 authors.

Tuomas KoskelaUniversity of Tampere, Department of General Practice, Lääkärinkatu 1, 33014, Tampereen yliopisto, Finland. tuomas.koskela@uta.fi.
Saana SandströmNordic Healthcare Group Ltd (at the time of the study), Vattuniemenranta 2, 00210, Helsinki, Finland. saana.sandstrom@gmail.com.
Joonas MäkinenDuodecim Medical Publications Ltd, PO Box 874, 00101, Helsinki, Finland. joonas.makinen@duodecim.fi.
Helena LiiraSchool of Primary, Aboriginal and Rural Health Care, University of Western Australia (M706), 35 Stirling Highway, Crawley, WA, 6009, Australia. helena.liira@uwa.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough a number of studies have evaluated the effectiveness of computerized decision-support systems (CDSS), there is lack of data on user perspectives, barriers, and facilitators to the implementation of CDSSs in real-life surroundings. The aim of this study was to assess individually perceived barriers, facilitators and ideas influencing the CDSS implementation and usability.

methodsIn this qualitative study, five focus groups were carried out with physicians and nurses separately at the Tampere City Health Center, Finland. The participants were end-users of the EBMeDS computerized decision support system. An explorative data content analysis was applied.

resultsThe most important barrier to benefitting from CDSS was the lack of structured and coded diagnosis documentation and outdated medication information in the electronic health records. This led to false alerts and distrust towards the system. Among the major facilitators found were e.g. the beneficial reminders that helped practitioners take into account matters otherwise ignored; automatic glomerular filtration rate (GFR) calculations; medication safety checks; and the summaries in the single medication review at a glance.

conclusionsPhysicians' and nurses' are keen to use the CDSS and it may enhance their inter-professional collaboration. Documenting patient information in a structured, uniform and easy manner is the essential starting point for electronic decision support. When implementing CDSS, managers need to focus on common practices in documenting structured data in their organizations in order to prevent undermining trust in the system.

Indexed as

Attitude of Health PersonnelFocus GroupsAdultDecision Support Systems, ClinicalDrug PrescriptionsElectronic Health RecordsFemaleHumansMaleNursesPhysiciansQualitative Research

Identifiers

PMID26801630
PMCPMC4724080

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Registered trials

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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.