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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.
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.OutcomesEmergent 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
Assessment of hepatitis C monitoring adherence after viral eradication in veterans with substance use to improve care and surveil reinfection
Introduction: Hepatitis C virus (HCV) incidence rates are rising for patients with substance use and/or SUDs. Guidelines provide monitoring recommendations to ensure remission after successful treatment. The study's objective was to identify gaps in follow-up for patients with documented substance use and/or SUD through assessment of adherence to guideline-recommended HCV RNA lab 12 months post-treatment.
Methods: Patients treated for HCV through the Veteran Health Indiana Hepatitis C Pharmacy Clinic were retrospectively evaluated. Subjects were categorized based on the provider assigned for follow-up care after 12-week sustained virologic response (SVR12) labs (primary care provider [PCP] or HCV provider). The primary outcome was HCV RNA obtained 11 to 13 months post-treatment. Secondary outcomes were HCV RNA detected post-treatment, substance use, engagement in substance use treatment, and engagement with social work.
Results: Two hundred forty-one patients were included in the HCV provider cohort and 139 in the PCP cohort. Forty-one patients did not have a specified clinic for follow-up treatment, and 20 patients did not achieve SVR12. Sixty-one patients (28%) in the HCV provider cohort completed a 12-month HCV RNA within 11 to 13 months post-treatment vs 15 patients (11%) in the PCP cohort (P ≤ .01). One patient had HCV RNA detected post-treatment.
Discussion: This study reveals inadequate HCV post-treatment follow-up for patients with substance use and/or SUD. SUD is a chronic disease that requires continued monitoring to prevent complications. Further studies are needed to identify reinfection rates and improvements of care in this population