Evidence map›Paper›PMID 33495196›Full record

Observational studyBMJ open quality2021

Preventable adverse drug events causing hospitalisation: identifying root causes and developing a surveillance and learning system at an urban community hospital, a cross-sectional observational study.

Jane de Lemos, Peter Loewen, Cheryl Nagle, Robert McKenzie, Yong Dong You, Anna Dabu, Peter Zed, Peter Ling, Richard Chan

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open quality, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Drug-Related Hospital AdmissionsFrontiers in pharmacology · 2022
    Article
  10. Article
  11. 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

9 authors at 3 institutions in 1 country.

Jane de LemosPharmacy, Richmond Hospital, Richmond, British Columbia, Canada jane.delemos@vch.ca.ORCID 0000-0003-0088-6895
Peter LoewenFaculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada.
Cheryl NagleFamily Physician, Richmond, British Columbia, Canada.
Robert McKenzieFamily Physician, Richmond, British Columbia, Canada.
Yong Dong YouInternal Medicine, Richmond Hospital, Richmond, British Columbia, Canada.
Anna DabuInternal Medicine, Nanaimo Regional General Hospital, Nanaimo, British Columbia, Canada.
Peter ZedFaculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada.
Peter LingInternal Medicine, Richmond Hospital, Richmond, British Columbia, Canada.
Richard ChanEmergency Department, Richmond Hospital, Richmond, British Columbia, Canada.
Richmond Hospital · CAUniversity of British Columbia · CAVancouver Island University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify root causes of preventable adverse drug events (pADEs) contributing to hospital admission; to develop key messages which identify actions patients/families and healthcare providers can take to prevent common pADEs found; to develop a surveillance learning system for the community.

methodsCross-sectional observational study; 120 patients and families, 61 associated healthcare providers were interviewed then root cause analysis was performed to develop key learning messages and an electronic reporting tool was designed. Most common pADE-related medical conditions and their root causes and most common pADE root causes of entire cohort are reported.

resultsMost common pADE-related medical conditions: chronic obstructive pulmonary disease/asthma (13.3%), bleeding (12.5%), hypotension (12%), heart failure (10%), acute kidney injury (5%) and pneumonia (5%). Most common root causes were: providers not confirming that the patient/family understands information given (29.2%), can identify how a medication helps them/have their concerns addressed (16.7%), can identify if a medication is working (14.1%) or causing a side effect (23.3%); can enact medication changes (7.5%); absence of a sick day management plan (12.5%), and other action plans to help patients respond to changes in their clinical status (10.8%); providers not assessing medication use and monitoring competency (19.2%). Ten key learning messages were developed and a pADE surveillance learning system was implemented.

conclusionsTo prevent pADEs, providers need to confirm that patients/families understand information given, how a medication helps them, how to recognise and respond to side effects, how to enact medication changes and follow action plans; providers should assess patient's/families' medication use and monitoring competency.

Indexed as

Drug-Related Side Effects and Adverse ReactionsHospitals, CommunityCross-Sectional StudiesHospitalizationHumansMedication Errorsadverse eventsemergency departmentepidemiology and detectionmedication safetyroot cause analysis

Identifiers

PMID33495196
PMCPMC7839880
OpenAlexW3125649098

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.