» Articles » PMID: 31129589

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

Overview
Journal BMJ Open
Specialty General Medicine
Date 2019 May 27
PMID 31129589
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Assessing antibiotic prescribing in nurse practitioners: Applied cognitive task analysis.

Martini N, Choong J, Dela Cruz P, Lau H, Lim H, Liu R Int J Nurs Stud Adv. 2024; 4:100101.

PMID: 38745626 PMC: 11080434. DOI: 10.1016/j.ijnsa.2022.100101.


Cognitive task analysis of clinicians' drug-drug interaction management during patient care and implications for alert design.

Russ-Jara A, Elkhadragy N, Arthur K, DiIulio J, Militello L, Ifeachor A BMJ Open. 2023; 13(12):e075512.

PMID: 38040422 PMC: 10693887. DOI: 10.1136/bmjopen-2023-075512.


Prescriber Uncertainty as Opportunity to Improve Care of Type 2 Diabetes with Chronic Kidney Disease: Mixed Methods Study.

Flory J, Guelce D, Goytia C, Li J, Min J, Mushlin A J Gen Intern Med. 2022; 38(6):1476-1483.

PMID: 36316625 PMC: 10160326. DOI: 10.1007/s11606-022-07838-1.


Analysis of shared cognitive tasks in the application of non-invasive ventilation to patients with COPD exacerbation.

Hughes A, Riska K, Farmer M, Krishnakumar D, Shea C, Hess D J Interprof Care. 2022; 37(4):576-587.

PMID: 36264072 PMC: 10983066. DOI: 10.1080/13561820.2022.2118681.


Strategies prescribers and pharmacists use to identify and mitigate adverse drug reactions in inpatient and outpatient care: a cognitive task analysis at a US Veterans Affairs Medical Center.

Nguyen K, Militello L, Ifeachor A, Arthur K, Glassman P, Zillich A BMJ Open. 2022; 12(2):e052401.

PMID: 35190423 PMC: 8862429. DOI: 10.1136/bmjopen-2021-052401.


References
1.
Ferreira J, Girerd N, Pellicori P, Duarte K, Girerd S, Pfeffer M . Renal function estimation and Cockroft-Gault formulas for predicting cardiovascular mortality in population-based, cardiovascular risk, heart failure and post-myocardial infarction cohorts: The Heart 'OMics' in AGEing (HOMAGE) and the high-risk.... BMC Med. 2016; 14(1):181. PMC: 5103492. DOI: 10.1186/s12916-016-0731-2. View

2.
Cho I, Slight S, Nanji K, Seger D, Maniam N, Dykes P . Understanding physicians' behavior toward alerts about nephrotoxic medications in outpatients: a cross-sectional analysis. BMC Nephrol. 2014; 15:200. PMC: 4279964. DOI: 10.1186/1471-2369-15-200. View

3.
Pillans P, Landsberg P, Fleming A, Fanning M, STURTEVANT J . Evaluation of dosage adjustment in patients with renal impairment. Intern Med J. 2003; 33(1-2):10-3. DOI: 10.1046/j.1445-5994.2003.00330.x. View

4.
Holm H, Bjerke K, Holst L, Mathiesen L . Use of renal risk drugs in patients with renal impairment. Int J Clin Pharm. 2015; 37(6):1136-42. DOI: 10.1007/s11096-015-0175-3. View

5.
Kwong Y, Stevens L, Selvin E, Zhang Y, Greene T, Van Lente F . Imprecision of urinary iothalamate clearance as a gold-standard measure of GFR decreases the diagnostic accuracy of kidney function estimating equations. Am J Kidney Dis. 2010; 56(1):39-49. PMC: 3671926. DOI: 10.1053/j.ajkd.2010.02.347. View