Medication errors detected in elderly patients admitted to an internal medicine service

Influence of the COVID-19 Pandemic on Medication Reconciliation in Frail Elderly People at Hospital Discharge: Perception of Healthcare Professionals

The current demographic panorama in Spain corresponds to an aging population; this situation is characterized by the need to care for an elderly population, which contains polymedicated and pluripathological individuals. Polymedication is a criterion of frailty in the elderly and a risk factor for mortality and morbidity due to the increased risk of drug interactions and medication errors. There are numerous studies that measure reconciliation at hospital discharge and at admission, and even the methodology of reconciliation, but we have not found many studies that measure reconciliation in the context of the COVID-19 pandemic from the point of view of health professionals regarding difficulties and the strategies carried out, which is essential to begin to glimpse solutions.

METHODS

This was a qualitative study based on 21 in-depth interviews and two discussion groups, conducted between January and April 2021 (13 nurses and 8 doctors, in rural and urban areas). The discourse was analyzed according to the Taylor-Bodgan model and processed using Atlas.ti software.

RESULTS

The areas altered by the health crisis were access to patients, their reconciliation of medication, and changes in the care modality, including the greater use of telephone communication, changes in work organization, and time dedicated to patient care and family work. Difficulties encountered during COVID-19: change in medication format, the specific characteristics of the patient and their pathologies, and difficulties arising from communication with the patient and their family. The strategies applied: the collaboration of home assistants and caregivers, emphasis on patient-health professional communication, and the use of Information and Communication Technologies (ICT).

CONCLUSION

The discharge was interrupted by the health crisis caused by COVID-19, in terms of both the traditional access of patients and by the remote care modalities generated by telemedicine.

Risk Factors for Electronic Prescription Errors in Pediatric Intensive Care Patients

OBJECTIVES

To assess risk factors for electronic prescription errors in a PICU.

DESIGN

A database of electronic prescriptions issued by a computerized physician order entry with clinical decision support system was analyzed to identify risk factors for prescription errors.

MEASUREMENTS AND MAIN RESULTS

Of 6,250 prescriptions, 101 were associated with errors (1.6%). The error rate was twice as high in patients older than 12 years than in patients children 6-12 and 0-6 years old (2.4% vs 1.3% and 1.2%, respectively, p < 0.05). Compared with patients without errors, patients with errors had a significantly higher score on the Pediatric Index of Mortality 2 (-3.7 vs -4.5; p = 0.05), longer PICU stay (6 vs 3.1 d; p < 0.0001), and higher number of prescriptions per patient (40.8 vs. 15.7; p < 0.0001). In addition, patients with errors were more likely to have a neurologic main admission diagnosis (p = 0.008) and less likely to have a cardiologic diagnosis (p = 0.03) than patients without errors.

CONCLUSIONS

Our findings suggest that older patient age and greater disease severity are risk factors for electronic prescription errors.

[Descriptive analysis of medication errors notified by Primary Health Care: Learning from errors]

Introducción y objetivo

El objetivo del presente estudio es describir los errores de medicación (EM) notificados en atención primaria analizando el ámbito, el daño y las causas, y orientando el análisis a las medidas para prevenir estos errores.

Material y métodos

Ámbito: Atención primaria. Servicio Madrileño de Salud. 2016.

Diseño

Estudio descriptivo transversal.

Participantes

Todas las notificaciones de EM realizadas desde los centros de salud en el sistema de notificación de incidentes de seguridad entre el 1 de enero y el 17 de noviembre de 2016 (n = 1.839).

Mediciones principales

Ámbito donde ocurrió el error, daño real, daño potencial y causa del error. Fueron clasificadas por un investigador. Se comprobó la concordancia con otro investigador.

Resultados

En el ámbito del centro de salud ocurrieron el 47% (IC95%: 44,8-49,3%) de los EM y en el entorno del paciente el 26,5% (IC95%: 24,5-28,6%). El 27,5% (IC95%: 24,1-30,8%) de los EM tenían potencialidad de daño grave. En el ámbito del centro de salud, la causa más frecuente fue la prescripción inadecuada: 27,4% (IC95%: 24,4-30,4%). En el entorno del paciente, la causa más frecuente fue el fallo en la comunicación profesional-paciente: 66% (IC95%: 61,8-70,2%), seguida por equivocaciones y despistes del paciente.

Conclusiones

La mitad de los errores de medicación notificados desde atención primaria tiene lugar en el centro de salud mientras que los EM del paciente son la cuarta parte. Uno de cada 4 es un error potencialmente grave. Las causas más importantes son la prescripción inadecuada (incluyendo indicación o dosis incorrecta, interacciones, contraindicaciones y alergias), los fallos en la comunicación profesional-paciente y los despistes en la autoadministración del paciente. Parece prioritario implantar sistemas de ayuda a la prescripción, prácticas seguras efectivas en comunicación profesional-paciente y ayudas que eviten los despistes en la autoadministración del paciente.

[Medication reconciliation at admission and discharge. A consolidated experience]

Medication reconciliation is currently one of the main strategies to reduce medication errors related to transitional care.

OBJECTIVE

To describe a method that would ensure continuity of patient care as regards drug therapy from admission to discharge.

METHODS

A description is presented on the methodology implemented in a tertiary hospital and the main results of medication reconciliation at admission and discharge of patients older than 75 years in the Trauma Unit during 2014.

RESULTS

The phases of the methodology were: 1. Obtain medication history (at least two sources of information); 2. Analysis of discrepancies and validation of medication on admission: A checklist was made to standardise the process, 3. Report on the pharmacotherapeutic profile: a form was designed in electronic medical records, and 4. Medication reconciliation at discharge and patient information: presenting the dosing schedule and recommendations to the patient. The medication of 318 patients admitted to Trauma was reconciled (294 at admission and discharge) by applying this methodology during the study period. There was at least one medication reconciliation error in 35% of cases. The mean error per patient reconciled was 0.69. Written discharge information was given to 74.1% of patients.

CONCLUSIONS

This methodology has allowed a workflow to be established that facilitates coordination between healthcare providers, in order to reduce medication errors and to respond to one of the main problems of continuity of care.

Medication safety in neonatal care: a review of medication errors among neonates

OBJECTIVE

The objective of this study was to describe the medication errors in hospitalized patients, comparing those in neonates with medication errors across the age spectrum.

METHOD

In tier 1, PubMed, Embase and Google Scholar were searched, using selected MeSH terms relating to hospitalized paediatric, adult and elderly populations. Tier 2 involved a search of the same electronic databases for literature relating to hospitalized neonatal patients.

RESULTS

A total of 58 articles were reviewed. Medication errors were well documented in each patient group. Overall, prescribing and administration errors were most commonly identified across each population, and mostly related to errors in dosing. Errors due to patient misidentification and overdosing were particularly prevalent in neonates, with 47% of administration errors involving at least tenfold overdoses. Unique errors were identified in elderly patients, comprising duplication of therapy and unnecessary prescribing of medicines. Overall, the medicines most frequently identified with error across each patient group included: heparin, antibiotics, insulin, morphine and parenteral nutrition. While neonatal patients experience the same types of medication errors as other hospitalized patients, the medication-use process within this group is more complex and has greater consequences resulting from error. Suggested strategies to help overcome medication error most commonly involved the integration of a clinical pharmacist into the treating team.

CONCLUSION

This review highlights that each step of the medication-use process is prone to error across the age spectrum. Further research is required to develop targeted strategies relevant to specific patient groups that integrate key pharmacy services into wards.

Automated Communication Tools and Computer-Based Medication Reconciliation to Decrease Hospital Discharge Medication Errors

This study sought to determine the effects of automated primary care physician (PCP) communication and patient safety tools, including computerized discharge medication reconciliation, on discharge medication errors and posthospitalization patient outcomes, using a pre-post quasi-experimental study design, in hospitalized medical patients with ≥2 comorbidities and ≥5 chronic medications, at a single center. The primary outcome was discharge medication errors, compared before and after rollout of these tools. Secondary outcomes were 30-day rehospitalization, emergency department visit, and PCP follow-up visit rates. This study found that discharge medication errors were lower post intervention (odds ratio = 0.57; 95% confidence interval = 0.44-0.74; P < .001). Clinically important errors, with the potential for serious or life-threatening harm, and 30-day patient outcomes were not significantly different between study periods. Thus, automated health system-based communication and patient safety tools, including computerized discharge medication reconciliation, decreased hospital discharge medication errors in medically complex patients.