Evidence map›Paper›PMID 38104071›Full record

ArticleBMC health services research2023

Completeness of medication information in admission notes from emergency departments.

Birgitte Zahl-Holmstad, Beate H Garcia, Kristian Svendsen, Tine Johnsgård, Renata V Holis, Eirik H Ofstad, Torsten Risør, Elin C Lehnbom, Torbjørn Wisløff, Macty Chan and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Birgitte Zahl-HolmstadHospital Pharmacy of North Norway Trust, Postboks 6147, Langnes, Tromsø, 9291, Norway. birgitte.zahl-holmstad@uit.no.ORCID http://orcid.org/0000-0001-6342-6859
Beate H GarciaHospital Pharmacy of North Norway Trust, Postboks 6147, Langnes, Tromsø, 9291, Norway.ORCID http://orcid.org/0000-0002-0815-0383
Kristian SvendsenDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, Postboks 6050, Langnes, Tromsø, 9037, Norway.ORCID http://orcid.org/0000-0003-3481-3539
Tine JohnsgårdHospital Pharmacy of North Norway Trust, Postboks 6147, Langnes, Tromsø, 9291, Norway.ORCID http://orcid.org/0000-0002-1128-8850
Renata V HolisHospital Pharmacy of North Norway Trust, Postboks 6147, Langnes, Tromsø, 9291, Norway.ORCID http://orcid.org/0000-0002-5417-8424
Eirik H OfstadDepartment of Medicine, Nordland Hospital Trust, Parkveien 95, Bodø, 8005, Norway.ORCID http://orcid.org/0000-0003-4821-6938
Torsten RisørDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Postboks 6050, Langnes, Tromsø, 9037, Norway.ORCID http://orcid.org/0000-0002-2018-528X
Elin C LehnbomDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, Postboks 6050, Langnes, Tromsø, 9037, Norway.ORCID http://orcid.org/0000-0003-1428-5476
Torbjørn WisløffHealth Services Research Unit, Akershus University Hospital, Sykehusveien 25, Nordbyhagen, Lørenskog, 1478, Norway.ORCID http://orcid.org/0000-0002-7539-082X
Macty ChanHospital Pharmacy of North Norway Trust, Postboks 6147, Langnes, Tromsø, 9291, Norway.
Renate ElenjordHospital Pharmacy of North Norway Trust, Postboks 6147, Langnes, Tromsø, 9291, Norway.ORCID http://orcid.org/0000-0002-3384-6964

Funding

Helse Nord RHF HNF1483-19
6 · The paper itself

Abstract

backgroundMedication lists prepared in the emergency department (ED) form the basis for diagnosing and treating patients during hospitalization. Since incomplete medication information may lead to patient harm, it is crucial to obtain a correct and complete medication list at hospital admission. In this cross-sectional retrospective study we wanted to explore medication information completeness in admission notes from Norwegian EDs and investigate which factors were associated with level of completeness.

methodsMedication information was assessed for completeness by applying five evaluation criteria; generic name, formulation, dose, frequency, and indication for use. A medication completeness score in percent was calculated per medication, per admission note and per criterion. Quantile regression analysis was applied to investigate which variables were associated with medication information completeness.

resultsAdmission notes for patients admitted between October 2018 and September 2019 and using at least one medication were included. A total of 1,080 admission notes, containing 8,604 medication orders, were assessed. The individual medications had a mean medication completeness score of 88.1% (SD 16.4), while admission notes had a mean medication completeness score of 86.3% (SD 16.2). Over 90% of all individual medications had information about generic name, formulation, dose and frequency stated, while indication for use was only present in 60%. The use of an electronic tool to prepare medication information had a significantly strong positive association with completeness. Hospital visit within the last 30 days, the patient's living situation, number of medications in use, and which hospital the patient was admitted to, were also associated with information completeness.

conclusionsMedication information completeness in admission notes was high, but potential for improvement regarding documentation of indication for use was identified. Applying an electronic tool when preparing admission notes in EDs seems crucial to safeguard completeness of medication information.

Indexed as

DocumentationHospitalizationCross-Sectional StudiesEmergency Service, HospitalHumansPatient AdmissionRetrospective StudiesAdmission notesElectronic health recordsHospitalMedication informationMedication systemsPatient safetyQuality of health care

Identifiers

PMID38104071
PMCPMC10724918

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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.