Evidence map›Paper›PMID 31129589›Full record

ArticleBMJ open2019

Medication decision-making for patients with renal insufficiency in inpatient and outpatient care at a US Veterans Affairs Medical Centre: a qualitative, cognitive task analysis.

Nervana Elkhadragy, Amanda P Ifeachor, Julie B Diiulio, Karen J Arthur, Michael Weiner, Laura G Militello, Peter A Glassman, Alan J Zillich, Alissa L Russ

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMJ open, 2019. 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
1.3field-weighted citation impact, top 22% 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, 12 citations in OpenAlex.

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  7. Human factors and ergonomics methods for pharmacy research and clinical practice.Research in social & administrative pharmacy : RSAP · 2021
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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

9 authors at 5 institutions in 1 country.

Nervana ElkhadragyCentre for Health Information and Communication, Health Service Research and Development, Department of Veterans Affairs, Roudebush VA Medical Centre, Indianapolis, Indiana, USA.
Amanda P IfeachorUS Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA.
Julie B DiiulioApplied Decision Science, Dayton, Ohio, USA.
Karen J ArthurUS Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA.
Michael WeinerCentre for Health Information and Communication, U.S. Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13-416, Richard L. Roudebush VA Medical Centre; Regenstrief Institute, Inc;, Indiana University, Indianapolis, Indiana, USA.
Laura G MilitelloApplied Decision Science, Dayton, Ohio, USA.
Peter A GlassmanInternal Medicine, Department of Veterans Affairs, Greater Los Angeles Healthcare System, and David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Alan J ZillichDepartment of Pharmacy Practice, College of Pharmacy, Purdue University, West Lafayette, Indiana, USA.
Alissa L RussCentre for Health Information and Communication, Health Service Research and Development, Department of Veterans Affairs, Roudebush VA Medical Centre, Indianapolis, Indiana, USA.
Richard L. Roudebush VA Medical Center · USApplied Decision Science (United States) · USPurdue University West Lafayette · USIndiana University – Purdue University Indianapolis · USVA Greater Los Angeles Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany studies identify factors that contribute to renal prescribing errors, but few examine how healthcare professionals (HCPs) detect and recover from an error or potential patient safety concern. Knowledge of this information could inform advanced error detection systems and decision support tools that help prevent prescribing errors.

objectiveTo examine the cognitive strategies that HCPs used to recognise and manage medication-related problems for patients with renal insufficiency.

designHCPs submitted documentation about medication-related incidents. We then conducted cognitive task analysis interviews. Qualitative data were analysed inductively.

settingInpatient and outpatient facilities at a major US Veterans Affairs Medical Centre.

participantsPhysicians, nurses and pharmacists who took action to prevent or resolve a renal-drug problem in patients with renal insufficiency. OUTCOMES: Emergent themes from interviews, as related to recognition of renal-drug problems and decision-making processes.

resultsWe interviewed 20 HCPs. Results yielded a descriptive model of the decision-making process, comprised of three main stages: detect, gather information and act. These stages often followed a cyclical path due largely to the gradual decline of patients' renal function. Most HCPs relied on being vigilant to detect patients' renal-drug problems rather than relying on systems to detect unanticipated cues. At each stage, HCPs relied on different cognitive cues depending on medication type: for renally eliminated medications, HCPs focused on gathering renal dosing guidelines, while for nephrotoxic medications, HCPs investigated the need for particular medication therapy, and if warranted, safer alternatives.

conclusionsOur model is useful for trainees so they can gain familiarity with managing renal-drug problems. Based on findings, improvements are warranted for three aspects of healthcare systems: (1) supporting the cyclical nature of renal-drug problem management via longitudinal tracking mechanisms, (2) providing tools to alleviate HCPs' heavy reliance on vigilance and (3) supporting HCPs' different decision-making needs for renally eliminated versus nephrotoxic medications.

Indexed as

Decision Support TechniquesAdultClinical Decision-MakingCognitionFemaleHospitals, VeteransHumansInpatientsInterviews as TopicMaleMedication ErrorsMiddle AgedOutpatientsQualitative ResearchRenal InsufficiencyUnited Stateshealth and safetymedical education and trainingnephrologyqualitative research

Identifiers

PMID31129589
PMCPMC6537985
OpenAlexW2945857079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.