PT  - JOURNAL ARTICLE
AU  - Nervana Elkhadragy
AU  - Amanda P Ifeachor
AU  - Julie B Diiulio
AU  - Karen J Arthur
AU  - Michael Weiner
AU  - Laura G Militello
AU  - Peter A Glassman
AU  - Alan J Zillich
AU  - Alissa L Russ
TI  - 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
AID  - 10.1136/bmjopen-2018-027439
DP  - 2019 May 01
TA  - BMJ Open
PG  - e027439
VI  - 9
IP  - 5
4099  - http://bmjopen.bmj.com/content/9/5/e027439.short
4100  - http://bmjopen.bmj.com/content/9/5/e027439.full
SO  - BMJ Open2019 May 01; 9
AB  - Background Many 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.Objective To examine the cognitive strategies that HCPs used to recognise and manage medication-related problems for patients with renal insufficiency.Design HCPs submitted documentation about medication-related incidents. We then conducted cognitive task analysis interviews. Qualitative data were analysed inductively.Setting Inpatient and outpatient facilities at a major US Veterans Affairs Medical Centre.Participants Physicians, 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.Results We 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.Conclusions Our 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.