Evidence map›Paper›PMID 34774044›Full record

ArticleBMC health services research2021

Healthcare professionals' perceptions on medication communication challenges and solutions - text mining and manual content analysis - cross-sectional study.

Tiina Syyrilä, Katri Vehviläinen-Julkunen, Marja Härkänen

Abstract read
In one paragraph

Article in BMC health services research, 2021. 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

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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Assessing intradisciplinary pharmacy communication related to transitions of care.Exploratory research in clinical and social pharmacy · 2024
    Article
  4. Article
  5. Article
  6. Review
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.

Tiina SyyriläDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland (UEF), Yliopistonranta 1c, P.O. Box 1627, 70211, Kuopio, Finland. tiina.syyrila@uef.fi.ORCID http://orcid.org/0000-0001-5351-4468
Katri Vehviläinen-JulkunenDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland (UEF), Yliopistonranta 1c, P.O. Box 1627, 70211, Kuopio, Finland.ORCID http://orcid.org/0000-0002-6828-8261
Marja HärkänenDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland (UEF), Yliopistonranta 1c, P.O. Box 1627, 70211, Kuopio, Finland.ORCID http://orcid.org/0000-0001-8542-8193

Funding

Itä-Suomen Yliopisto This study has been financially supported by a two-year early-stage researcher position from the University of Eastern Finland for the first author. The position facilitated full time work as a researcher on this doctoral study. The same funding was also supporting the study on which the survey questions of the present study are based on.
6 · The paper itself

Abstract

backgroundCommunication challenges contribute to medication incidents in hospitals, but it is unclear how communication can be improved. The aims of this study were threefold: firstly, to describe the most common communication challenges related to medication incidents as perceived by healthcare professionals across specialized hospitals for adult patients; secondly, to consider suggestions from healthcare professionals with regard to improving medication communication; and thirdly, to explore how text mining compares to manual analysis when analyzing the free-text content of survey data.

methodsThis was a cross-sectional, descriptive study. A digital survey was sent to professionals in two university hospital districts in Finland from November 1, 2019, to January 31, 2020. In total, 223 professionals answered the open-ended questions; respondents were primarily registered nurses (77.7 %), physicians (8.6 %), and pharmacists (7.3 %). Text mining and manual inductive content analysis were employed for qualitative data analysis.

resultsThe communication challenges were: (1) inconsistent documentation of prescribed and administered medication; (2) failure to document orally given prescriptions; (3) nurses' unawareness of prescriptions (given outside of ward rounds) due to a lack of oral communication from the prescribers; (4) breaks in communication during care transitions to non-communicable software; (5) incomplete home medication reconciliation at admission and discharge; (6) medication lists not being updated during the inpatient period due to a lack of clarity regarding the responsible professional; and (7) work/environmental factors during medication dispensation and the receipt of verbal prescriptions. Suggestions for communication enhancements included: (1) structured digital prescriptions; (2) guidelines and training on how to use documentation systems; (3) timely documentation of verbal prescriptions and digital documentation of administered medication; (4) communicable software within and between organizations; (5) standardized responsibilities for updating inpatients' medication lists; (6) nomination of a responsible person for home medication reconciliation at admission and discharge; and (7) distraction-free work environment for medication communication. Text mining and manual analysis extracted similar primary results.

conclusionsNon-communicable software, non-standardized medication communication processes, lack of training on standardized documentation, and unclear responsibilities compromise medication safety in hospitals. Clarification is needed regarding interdisciplinary medication communication processes, techniques, and responsibilities. Text mining shows promise for free-text analysis.

Indexed as

CommunicationData MiningAdultCross-Sectional StudiesDelivery of Health CareHumansPerceptionCommunicationContent analysisCross-sectionalHealthcare professionalsHospitalsMedication incidentsMedication safetyQualitativeSurveyText mining

Identifiers

PMID34774044
PMCPMC8590289

What OpenQuestion holds

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LicenceCC BY
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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.