Evidence map›Paper›PMID 39539902›Full record

ArticleCureus2024

Study of Medication Reconciliation Process at the Time of Admission in the Patients of a Tertiary Care Teaching Hospital.

Krushika Domadiya, Bharat Gajjar, Alpa Gor, Bhalendu Vaishnav

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Krushika DomadiyaPharmacology, Pramukhswami Medical College, Karamsad, Anand, IND.
Bharat GajjarPharmacology, Pramukhswami Medical College, Karamsad, Anand, IND.
Alpa GorPharmacology, Pramukhswami Medical College, Karamsad, Anand, IND.
Bhalendu VaishnavInternal Medicine, Pramukhswami Medical College, Karamsad, Anand, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionReconciliation errors are those that are considered harmful or possibly dangerous to patients; in fact, reconciliation errors significantly influence adverse drug events (ADEs) among admitted and discharged patients. Medication reconciliation facilitates the identification and prevention of medication errors and adverse drug events. Worldwide, ongoing medication management is a major source of concern for patient safety. Therefore, this study aims to study medication reconciliation on admission in trauma and emergency care (TEC) at a tertiary care teaching hospital. The objective of our study was to identify discrepancies and medication errors.

methodsA prospective observational study on medication reconciliation was conducted at the Tertiary Care Teaching Hospital of Shree Krishna Hospital (SKH) in Karamsad, Anand, from February 2023 to February 2024.

resultsThe total number of identified discrepancies on admission was 64 in 45 patients. Out of 64 discrepancies, 39 were of adding type, documented as intentional discrepancies and 25 were of omission type, documented as unintentional discrepancies. The majority of those errors were moderate to severe in terms of severity.

conclusionThe results of this study demonstrate the importance of identifying medication discrepancies in hospital settings and provide evidence for the need to establish medication reconciliation services that would assist healthcare providers in identifying and resolving medication discrepancies.

Indexed as

drug omissionmedication discrepanciesmedication reconciliationpatient admissionpatient’s safety

Identifiers

PMID39539902
PMCPMC11560054

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.