The effect of the TIM program (Transfer ICU Medication reconciliation) on medication transfer errors in two Dutch intensive care units: design of a prospective 8-month observational study with a before and after period

Regular Medications in the Emergency Department Short Stay Unit (ReMedIES): Can Prescribing be Improved Without Increasing Resources?

Background: Hospital medication errors are frequent and may result in adverse events. Data on non-prescription of regular medications to emergency department short stay unit patients is lacking. In response to local reports of regular medication omissions, a multi-disciplinary team was tasked to introduce corrective emergency department (ED) process changes, but with no additional financing or resources. Aim: To reduce the rate of non-prescription of regular medications for patients admitted to the ED Short Stay Unit (SSU), through process change within existing resource constraints. Methods: A pre- and post-intervention observational study compared regular medication omission rates for patients admitted to the ED SSU. Included patients were those who usually took regular home medications at 08:00 or 20:00. Omissions were classified as clinically significant medications (CSMs) or non-clinically significant medications (non-CSMs). The intervention included reinforcement that the initially treating acute ED doctor was responsible for prescription completion, formal checking of prescription presence at SSU handover rounds, double-checking of prescription completeness by the overnight SSU lead nurse and junior doctor, and ED pharmacist medication reconciliation for those still identified as having regular medication non-prescription at 07:30. Results: For the 110 and 106 patients in the pre- and post-intervention periods, there was a non-significant reduction in the CSM omission rate of -11% (95% CI: -23 to 2), from 41% (95% CI: 32-50) to 30% (95% CI: 21-39). Conclusion: Non-prescription of regular CSMs for SSU patients was not significantly reduced by institution of work practice changes within existing resource constraints.

Medication Regimen Complexity Index Score at Admission as a Predictor of Inpatient Outcomes: A Machine Learning Approach

BACKGROUND

In the intensive care unit, traditional scoring systems use illness severity and/or organ failure to determine prognosis, and this usually rests on the patient's condition at admission. In spite of the importance of medication reconciliation, the usefulness of home medication histories as predictors of clinical outcomes remains unexplored.

METHODS

A retrospective cohort study was conducted using the medical records of 322 intensive care unit (ICU) patients. The predictors of interest included the medication regimen complexity index (MRCI) at admission, the Acute Physiology and Chronic Health Evaluation (APACHE) II, the Sequential Organ Failure Assessment (SOFA) score, or a combination thereof. Outcomes included mortality, length of stay, and the need for mechanical ventilation. Machine learning algorithms were used for outcome classification after correcting for class imbalances in the general population and across the racial continuum.

RESULTS

The home medication model could predict all clinical outcomes accurately 70% of the time. Among Whites, it improved to 80%, whereas among non-Whites it remained at 70%. The addition of SOFA and APACHE II yielded the best models among non-Whites and Whites, respectively. SHapley Additive exPlanations (SHAP) values showed that low MRCI scores were associated with reduced mortality and LOS, yet an increased need for mechanical ventilation.

CONCLUSION

Home medication histories represent a viable addition to traditional predictors of health outcomes.

Improving Transfer Medication Reconciliation in an Emirati Tertiary Hospital Utilizing the Irish Health Service Executive Model

Transfer is a vulnerable setting that increases the risk of medication errors. Medication reconciliation (MedRec) ensures accurate medication transfer at interfaces of care. It is addressed as a key performance indicator (KPI) in a tertiary hospital. The issue was failure to meet the KPI of more than 75%; the objective was to improve compliance with transfer MedRec. A quality improvement project was conducted utilizing physician active education, leadership support, and the Irish Health Service Executive (HSE) change model. Compliance with the KPI did not improve with monthly monitoring and physician education. Following leadership support, compliance increased from 56% to 72% but was not sustained. Adoption of the change model yielded a sustainable improvement from 65% to 81% within 1 year of the intervention and a reduction in medication errors. Improvement in the MedRec process requires a culture of accountability to change. HSE expedited stakeholders' engagement and implementation of the planned interventions.

Process Mining and Ethnography Study of Medication Reconciliation Tasks

We studied the medication reconciliation (MedRec) task through analysis of computer logs and ethnographic data. Time spent by healthcare providers performing MedRec was compared between two different EHR systems used at four different regional perioperative settings. Only one of the EHRs used at two settings generated computer logs that supported automatic discovery of the MedRec task. At those two settings, 53 providers generated 383 MedRec instances. Findings from the computer logs were validated with ethnographic data, leading to the identification and removal of 47 outliers. Without outliers, one of the settings had slightly smaller mean (SD) time in seconds 67.3 (40.2) compared with the other, 92.1 (25). The difference in time metrics was statistically significant (p<.001). Reusability of an existing task-based analytic method allowed for rapid study of EHR-based workflow and task.

Development of a multivariable prediction model for identification of patients at risk for medication transfer errors at ICU discharge

INTRODUCTION

Discharge from the intensive care unit (ICU) is a high-risk process, leading to numerous potentially harmful medication transfer errors (PH-MTE). PH-MTE could be prevented by medication reconciliation by ICU pharmacists, but resources are scarce, which renders the need for predicting which patients are at risk for PH-MTE. The aim of this study was to develop a prognostic multivariable model in patients discharged from the ICU to predict who is at increased risk for PH-MTE after ICU discharge, using predictors of PH-MTE that are readily available at the time of ICU discharge.

MATERIAL AND METHODS

Data for this study were derived from the Transfer ICU Medication reconciliation study, which included ICU patients and scored MTE at discharge of the ICU. The potential harm of every MTE was estimated with a validated score, where after MTE with potential for harm were indicated as PH-MTE. Predictors for PH-MTE at ICU discharge were identified using LASSO regression. The c statisticprovided a measure of the overall discriminative ability of the prediction model and the prediction model was internally validated by bootstrap resampling. Based on sensitivity and specificity, the cut-off point of the prediction model was determined.

RESULTS

The cohort contained 258 patients and six variables were identified as predictors for PH-MTE: length of ICU admission, number of home medications and patient taking one of the following medication groups at home: vitamin/mineral supplements, cardiovascular medication, psycholeptic/analeptic medication and medication for obstructive airway disease. The c of the final prediction model was 0.73 (95%CI 0.67-0.79) and decreased to 0.62 according to bootstrap resampling. At a cut-off score of two the prediction model yielded a sensitivity of 70% and a specificity of 61%.

CONCLUSIONS

A multivariable prediction model was developed to identify patients at risk for PH-MTE after ICU discharge. The model contains predictors that are available on the day of ICU discharge. Once external validation and evaluation of this model in daily practice has been performed, its incorporation into clinical practice could potentially allow institutions to identify patients at risk for PH-MTE after ICU discharge, on the day of ICU discharge, thus allowing for efficient, patient-specific allocation of clinical pharmacy services.

TRIAL REGISTRATION

Dutch trial register: NTR4159, 5 September 2013, retrospectively registered.

Scoping Review of Interventions Associated with Cost Avoidance Able to Be Performed in the Intensive Care Unit and Emergency Department

A framework for evaluating pharmacists' impact on cost avoidance in the intensive care unit (ICU) and emergency department (ED) has not been established. This scoping review was registered (CRD42018091217) and conducted to identify, aggregate, and qualitatively describe the highest quality evidence for cost avoidance generated by clinical pharmacists on interventions performed in an ICU or ED. Searches were conducted in PubMed, Scopus, CINAHL, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews from inception until April 2018. The level of evidence (LOE) for each specific category of intervention was evaluated according to the Grading of Recommendations, Assessment, Development and Evaluation evidence-to-decision framework. The risks of bias for articles were evaluated using Newcastle Ottawa and Cochrane Collaboration tools. The values from all interventions were inflated to 2018 U.S. dollars using the consumer price index for medical care. Of the 464 articles initially identified, 371 were excluded and 93 were included. After reviewing references from the articles included, an additional 71 articles were also reviewed. The 38 cost intervention categories were supported by varying LOEs: IA (0 categories), IB (1 category), IIA (4 categories), IIB (0 categories), III (27 categories), and IV (6 categories), and articles mostly displayed low to moderate risks of bias. Pharmacists generate cost avoidance through a variety of interventions in critically and emergently ill patients. The quality of evidence supporting specific cost avoidance values is generally low. Quantification of and factors associated with the cost avoidance generated from pharmacists caring for these patients are of paramount importance.

Identifying essential elements to include in Intensive Care Unit to hospital ward transfer summaries: A consensus methodology

PURPOSE

Transitions of care from the intensive care unit (ICU) to a hospital ward are high risk and contingent on effective communication. We sought to identify essential information elements to be included in an ICU to hospital ward transfer summary tool, and describe tool functionality and composition perceived to be important.

MATERIALS AND METHODS

A panel of 13 clinicians representing ICU and hospital ward providers used a modified Delphi process to iteratively review and rate unique information elements identified from existing ICU transfer tools through three rounds of review (two remote and one in person). Qualitative content analysis was conducted on transcribed audio recordings of the workshop to characterize tool functionality and composition.

RESULTS

A total of 141 unique information elements were reviewed of which 63 were identified by panelists as essential. Qualitative content analyses of panelist discussions identified three themes related to how information elements should be considered when developing an ICU transfer summary tool: 1) Flexibility, 2) Usability, and 3) Accountability.

CONCLUSION

We identified 63 distinct information elements identified as essential for inclusion in an ICU transfer summary tool to facilitate communication between providers during the transition of patient care from the ICU to a hospital ward.

The effect of a medication reconciliation program in two intensive care units in the Netherlands: a prospective intervention study with a before and after design

Background

Medication errors occur frequently in the intensive care unit (ICU) and during care transitions. Chronic medication is often temporarily stopped at the ICU. Unfortunately, when the patient improves, the restart of this medication is easily forgotten. Moreover, temporal ICU medication is often unintentionally continued after ICU discharge. Medication reconciliation could be useful to prevent such errors. Therefore, the aim of this study was to determine the effect of medication reconciliation at the ICU.

Methods

This prospective 8-month study with a pre- and post-design was carried out in two ICU settings in the Netherlands. Patients were included when they used ≥ 1 chronic medicine and when the ICU stay exceeded 24 h. The intervention consisted of medication reconciliation by pharmacists at the moment of ICU admission and prior to ICU discharge. Medication transfer errors (MTEs) were collected and the severity of potential harm of these MTEs was measured, based on a potential adverse drug event score (pADE = 0; 0.01; 0.1; 0.4; 0.6). Primary outcome measures were the proportions of patients with ≥ 1 MTE at ICU admission and after discharge. Secondary outcome measures were the proportions of patients with a pADE score ≥ 0.01 due to these MTEs, the severity of the pADEs and the associated costs. Odds ratio and 95% confidence intervals were calculated, by using a multivariate logistic regression analysis.

Results

In the pre-intervention phase, 266 patients were included and 212 in the post-intervention phase. The proportion of patients with ≥ 1 MTE at ICU admission was reduced from 45.1 to 14.6% (OR_adj 0.18 [95% CI 0.11–0.30]) and after discharge from 73.9 to 41.2% (OR_adj 0.24 [95% CI 0.15–0.37]). The proportion of patients with a pADE ≥ 0.01 at ICU admission was reduced from 34.8 to 8.0% (OR_adj 0.13 [95% CI 0.07–0.24]) and after discharge from 69.5 to 36.2% (OR_adj 0.26 [95% CI 0.17–0.40]). The pADE reduction resulted in a potential net cost–benefit of € 103 per patient.

Conclusions

Medication reconciliation by pharmacists at ICU transfers is an effective safety intervention, leading to a significant decrease in the number of MTE and a cost-effective reduction in potential harm.

Trial registration Dutch trial register: NTR4159, 5 September 2013, retrospectively registered