Evidence map›Paper›PMID 34732176›Full record

ReviewBMC medical informatics and decision making2021

Personal Electronic Records of Medications (PERMs) for medication reconciliation at care transitions: a rapid realist review.

Catherine Waldron, Joan Cahill, Sam Cromie, Tim Delaney, Sean P Kennelly, Joshua M Pevnick, Tamasine Grimes

Open access · goldAbstract readReview
In one paragraph

Review in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Catherine WaldronSchool of Pharmacy and Pharmaceutical Sciences, Trinity College Dublin, Dublin, Ireland.
Joan CahillCentre for Innovative Human Systems & School of Psychology, Trinity College Dublin, Dublin, Ireland.
Sam CromieCentre for Innovative Human Systems & School of Psychology, Trinity College Dublin, Dublin, Ireland.
Tim DelaneyPharmacy Department, Tallaght University Hospital, Dublin, Ireland.
Sean P KennellyDepartment of Medical Gerontology, Trinity College Dublin, Dublin, Ireland.
Joshua M PevnickCedars-Sinai Medical Center, Los Angeles, CA, USA.
Tamasine GrimesSchool of Pharmacy and Pharmaceutical Sciences, Trinity College Dublin, Dublin, Ireland. tagrimes@tcd.ie.
Trinity College Dublin · IECedars-Sinai Medical Center · USTallaght University Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication reconciliation (MedRec), a process to reduce medication error at care transitions, is labour- and resource-intensive and time-consuming. Use of Personal Electronic Records of Medications (PERMs) in health information systems to support MedRec have proven challenging. Relatively little is known about the design, use or implementation of PERMs at care transitions that impacts on MedRec in the 'real world'. To respond to this gap in knowledge we undertook a rapid realist review (RRR). The aim was to develop theories to explain how, why, when, where and for whom PERMs are designed, implemented or used in practice at care transitions that impacts on MedRec. METHODOLOGY: We used realist methodology and undertook the RRR between August 2020 and February 2021. We collaborated with experts in the field to identify key themes. Articles were sourced from four databases (Pubmed, Embase, CINAHL Complete and OpenGrey) to contribute to the theory development. Quality assessment, screening and data extraction using NVivo was completed. Contexts, mechanisms and outcomes configurations were identified and synthesised. The experts considered these theories for relevance and practicality and suggested refinements.

resultsTen provisional theories were identified from 19 articles. Some theories relate to the design (T2 Inclusive design, T3 PERMs complement existing good processes, T7 Interoperability), some relate to the implementation (T5 Tailored training, T9 Positive impact of legislation or governance), some relate to use (T6 Support and on-demand training) and others relate iteratively to all stages of the process (T1 Engage stakeholders, T4 Build trust, T8 Resource investment, T10 Patients as users of PERMs).

conclusionsThis RRR has allowed additional valuable data to be extracted from existing primary research, with minimal resources, that may impact positively on future developments in this area. The theories are interdependent to a greater or lesser extent; several or all of the theories may need to be in play to collectively impact on the design, implementation or use of PERMs for MedRec at care transitions. These theories should now be incorporated into an intervention and evaluated to further test their validity.

Indexed as

Medication ReconciliationPatient TransferElectronicsHumansMedication ErrorsCare transitionsElectronic health recordsMedication reconciliationRealist review

Identifiers

PMID34732176
PMCPMC8565006
OpenAlexW3142086135

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.