Incidence and treatment costs attributable to medication errors in hospitalized patients

Methodological Approaches for Analyzing Medication Error Reports in Patient Safety Reporting Systems: A Scoping Review

BACKGROUND

Medication errors (MEs) pose risks to patient safety, resulting in substantial economic costs. To enhance patient safety and learning from incidents, health care and pharmacovigilance organizations systematically collect ME data through reporting systems. Despite the growing literature on MEs in reporting systems, an overview of methods used to analyze them is lacking. The authors aimed to identify, explore, and map available literature on methods used to analyze MEs in reporting systems.

METHODS

The review was based on Joanna Briggs Institute's methodology. The authors systematically searched electronic databases Embase, Medline, CINAHL, Cochrane Central, and other sources (Google Scholar, health care safety and pharmacovigilance centers' websites). Literature published from January 2017 to December 2023 was screened and extracted by two independent researchers.

RESULTS

Among the 59 extracted publications, analyses most often focused on MEs occurring in hospitals (57.6%), included both adult and pediatric patients (79.7%), and used national patent safety monitoring systems as a source (69.5%). We identified quantitative (39.0%), qualitative (11.9%), mixed methods (37.3%), and advanced computerized methods (11.9%). Descriptive quantitative analyses for categorized data were common; however, disproportionality analysis constituted a newer approach to address issues with reporting bias. Free-text data were commonly managed by content analysis, while mixed methods analyzed both categorized and free-text data. In addition, text mining, natural language processing, and artificial intelligence were used in more recent studies.

CONCLUSION

This scoping review uncovered a notable span and diversity in methodologies. Future research should assess the use, applicability, and effectiveness of newer methods such as disproportionality analysis and advanced computerized techniques.

Recognizing and preventing unacknowledged prescribing errors associated with polypharmacy

BACKGROUND

Prescribing errors put an enormous burden on health and the economy, claiming implementation of effective methods to prevent/reduce them. Polypharmacy regimens (five or more drugs) are highly prone to unacknowledged prescribing errors, since the complex network of drug-drug interactions, guidelines and contraindications is challenging to be adequately evaluated in the prescription phase, especially if different doctors are involved. Clinical decision support systems aimed at polypharmacy evaluation may be crucial to recognize and correct prescribing errors.

METHODS

A commercial clinical decision support system (Drug-PIN®) was applied to estimate the frequency of unrecognized prescribing errors in a group of 307 consecutive patients accessing the hospital pre-admission service of the Sant'Andrea Hospital of Rome, Italy, in the period April-June 2023. Drug-PIN® is a two-step system, first scoring the risk (low, moderate or high) associated with a certain therapy-patient pair, then allowing therapy optimization by medications exchanges. We defined prescribing errors as cases where therapy optimization could achieve consistent reduction of the Drug-PIN® calculated risk.

RESULTS

Polypharmacy was present in 205 patients, and moderate to high risk for medication harm was predicted by Drug-PIN® in 91 patients (29.6%). In 58 of them (63.7%), Drug-PIN® guided optimization of the therapy could be achieved, with a statistically significant reduction of the calculated therapy-associated risk score. Patients whose therapy cannot be improved have a statistically significant higher number of used drugs. Considering the overall study population, the rate of avoidable prescribing errors was 18.89%.

CONCLUSIONS

Results suggest that computer-aided evaluation of medication-associated harm could be a valuable and actionable tool to identify and prevent prescribing errors in polypharmacy. We conducted the study in a Hospital pre-admission setting, which is not representative of the general population but represents a hotspot to intercept fragile population, where a consistent fraction of potentially harmful polypharmacy regimens could be promptly identified and corrected by systematic use of adequate clinical decision support tools.

Comparative Analysis of Large Language Models in Emergency Plastic Surgery Decision-Making: The Role of Physical Exam Data

In the U.S., diagnostic errors are common across various healthcare settings due to factors like complex procedures and multiple healthcare providers, often exacerbated by inadequate initial evaluations. This study explores the role of Large Language Models (LLMs), specifically OpenAI's ChatGPT-4 and Google Gemini, in improving emergency decision-making in plastic and reconstructive surgery by evaluating their effectiveness both with and without physical examination data. Thirty medical vignettes covering emergency conditions such as fractures and nerve injuries were used to assess the diagnostic and management responses of the models. These responses were evaluated by medical professionals against established clinical guidelines, using statistical analyses including the Wilcoxon rank-sum test. Results showed that ChatGPT-4 consistently outperformed Gemini in both diagnosis and management, irrespective of the presence of physical examination data, though no significant differences were noted within each model's performance across different data scenarios. Conclusively, while ChatGPT-4 demonstrates superior accuracy and management capabilities, the addition of physical examination data, though enhancing response detail, did not significantly surpass traditional medical resources. This underscores the utility of AI in supporting clinical decision-making, particularly in scenarios with limited data, suggesting its role as a complement to, rather than a replacement for, comprehensive clinical evaluation and expertise.

Calculating the cost of medication errors: A systematic review of approaches and cost variables

INTRODUCTION

Medication errors are an unnecessary cost to a healthcare system and patients of a country. This review aimed to systematically identify published cost variables used to calculate the cost of medication errors and to explore any updates on findings already known on calculating the cost of medication errors during the past 10 years.

METHODS

A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Electronic databases, PubMed, Scopus, Emerald and JSTOR were searched, using keywords "medication error" AND "cost" and predetermined inclusion criteria. Duplicate articles were removed. Quality check was done using 10 criteria. Cost variables used in calculating the cost of medication errors were extracted from each article.

RESULTS

Among 3088 articles, 33 articles were selected for review. Most studies were conducted in Western countries. Cost variables used (types and number) by different studies varied widely. Most studies (N=29) had used direct costs only. A few studies (N=4) had used both direct and indirect costs for the purpose. Perspectives considered when calculating cost of medication errors also varied widely. A total of 35 variables used to calculate medication error costs were extracted from selected articles.

CONCLUSION

Variables used to calculate the cost of medication errors were not uniform across studies. Almost a decade after systematic reviews previously reporting on this area, a validated methodology to calculate the cost of medication errors has still not been reported to date and highlights the still pending necessity of a standard method to be established.

Do junior doctors make more prescribing errors than experienced doctors when prescribing electronically using a computerised physician order entry system combined with a clinical decision support system? A cross-sectional study

OBJECTIVES

Prescribing errors can lead to inconvenience, morbidity and mortality. It is therefore crucial to educate doctors to prescribe safely, efficiently and effectively. To create an effective educational programme, it is essential to understand which errors are made and by whom. The aim of this study is to explore if the experience level of the doctor influences how many and which prescribing errors are made in a European academic teaching hospital, where a computerised physician order entry system (CPOE) with a clinical decision support system (CDSS) is exclusively used.

METHODS

Prescriptions for all inpatients in an academic teaching hospital were collected in June 2021. All prescriptions with an alert generated by the CDSS which could not be handled by a pharmacy technician according to local protocol were checked for errors. Identified errors were categorised by type and severity.

RESULTS

A total of 130 538 prescriptions were newly made or altered by doctors. Of these prescriptions, 1914 (1.5%) were retained for a check by the pharmacist. These contained 430 prescribing errors (0.3% of total prescriptions). Doctors not in specialty training and those in specialty training made more prescribing errors than consultants (0.5% and 0.5% vs 0.1%; p<0.001). Doctors in specialty training made relatively more drug-drug interaction errors than consultants (n=31 (16%) vs n=3 (3%), p<0.05). No significant difference was found regarding the severity of the errors.

CONCLUSIONS

Doctors not in specialty training and doctors in specialty training, who are the less experienced doctors, make more prescribing errors than consultants, even with the use of a CPOE combined with CDSS. The type of errors differ between doctors of different experience levels. This finding provides a solid basis for specific additional education to medical students, doctors not in specialty training and doctors in specialty training.

The associations of psychological burnout and time factors on medication errors in rotating shift nurses in Korea: A cross sectional descriptive study

AIM

To describe the associations of psychological burnout and time factors on hospital nurses' medication errors.

DESIGN

A cross-sectional survey design was used.

METHODS

A structured questionnaire pertaining to psychological burnout, time factors and medication error was administered to 200 bedside nurses working at two tertiary university hospitals in Korea. The associations between the psychological burnout, time factor and medication error were analysed with the zero-inflated negative binomial regression for over-dispersed and over-abundant zeros count data.

RESULTS

Higher psychological burnout, shorter meal time during duty and longer weekly overtime were associated with an increased likelihood of medication error of nurses working in tertiary university hospitals. For medication safety, nurse managers should provide appropriate administrative support to nurses to cope with psychological burnout of nurses. Work time management should also be considered as human factors to satisfy the needs of nurses, such as securing meal times and maintaining a low level of weekly overtime.

How Many People Experience Unsafe Medical Care in Thailand, and How Much Does It Cost under Universal Coverage Scheme?

Adverse events and medical harm comprise major health concerns for people all over the world, including Thailand. The prevalence and burden of medical harm must always be monitored, and a voluntary database should not be used to represent national value. The purpose of this study is to estimate the national prevalence and economic impact of medical harm in Thailand using routine administrative data from the inpatient department electronic claim database under the Universal Coverage scheme from 2016 to 2020. Our findings show that there are approximately 400,000 visits with potentially unsafe medical care per year (or 7% of all inpatient visits under the Universal Coverage scheme). The annual cost of medical harm is estimated to be approximately USD 278 million (approximately THB 9.6 billion), with an average of 3.5 million bed-days per year. This evidence can be used to raise safety awareness and support medical harm prevention policies. Future work should focus on improving medical harm surveillance using better data quality and more comprehensive data on medical harm.

Frequency of Medication Administration Timing Error in Hospitals: A Systematic Review

BACKGROUND

Medication administration timing error (MATE) leads to poor medication efficacy, harm, and death. Frequency of MATE is understudied.

PURPOSE

To determine MATE frequency, and characteristics and quality of reporting studies.

METHODS

A systematic review of articles between 1999 and 2021 was conducted using the Cumulative Index of Nursing and Allied Health Literature, ProQuest, and PubMed databases. Articles were scored for quality using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist.

RESULTS

Initially, 494 articles were screened; 23 were included in this review. MATE was defined as administration beyond 60 minutes before or after the scheduled time in 13 (57%) of the included studies. Measurement procedures included data abstraction, self-report, and observation. Frequency of MATE was 1% to 72.6%. Moderate study quality was found in 78% of articles.

CONCLUSION

Research on MATE is characterized by inconsistent definitions, measurements procedures, and calculation techniques. High-quality studies are lacking. Many research improvement opportunities exist.

Patient-Nurse Partnerships to Prevent Medication Errors: A Concept Development Using the Hybrid Method

Medication safety is the most patient-centered aspect of nursing, and the medication process needs patients' active participation to effectively prevent medication errors. The aim of this study was to develop the concept of a patient-nurse partnership for medication safety activities. The study design used the three-phase hybrid model for concept analysis: the theoretical phase, fieldwork phase, and final phase for integration. The results of a study define the concept of patient-nurse partnership for medication safety as "a fair cooperative relationship of mutual responsibility in which patients and nurses share information and communicate with each other through mutual trust." Seven attributes were derived: mutual trust, mutual respect, mutual sharing, mutual communication, mutual responsibility, fair relationship, and mutual cooperation. The conclusion of the study of patient-nurse partnerships for medication safety was that it is necessary to ensure a balance in power between patient and nurse. This balance can be established through patient-centered nursing by implementing the active transfer of authority from nurses as professionals to patients.

Patterns of Medication Errors Involving Older Adults Reported to the French Medication Error Guichet

OBJECTIVES

The aims of the study were to describe medication errors (MEs) involving older adults reported to the French Medication Error Guichet and to compare them with MEs in younger adults, in each of the hospital and community settings.

METHODS

Retrospective secondary data analysis of MEs reported throughout 2013 to 2017 was performed. Descriptive and multivariate analyses were performed to compare actual and potential ME reports between older adults (aged ≥60 y) and younger adults (aged ≥18, <60 y).

RESULTS

We analyzed 4979 reports. In older adults, both in hospital (n = 1329) and community (n = 1264) settings, antithrombotic agents were frequently reported in MEs and were significantly more likely to be associated with reported MEs in older adults compared with younger adults. In hospital setting, antibacterials for systemic use (adjusted odds ratio [aOR] = 1.87, 95% confidence interval [CI] = 1.19-2.93) and antineoplastic agents (aOR = 2.22, 95% CI = 1.34-3.69), whereas in community setting, psycholeptics (aOR = 1.43, 95% CI = 1.04-1.98) and drugs used in diabetes (aOR = 6.01, 95% CI = 3.21-11.2) were more likely to be associated with reported MEs in older adults. In both settings, wrong dose and wrong drug were the most frequently reported error types in older adults; however, wrong technique error type (aOR = 2.06, 95% CI = 1.30-3.28) in hospital setting and wrong patient (aOR = 2.17, 95% CI = 1.30-3.60) in community setting were more likely to be associated with reported MEs in older adults.

CONCLUSIONS

We identified specific ME patterns for older adults, including antithrombotic agents in both settings; antibacterials for systemic use, antineoplastic agents, and wrong technique in hospital setting; and psycholeptics, drugs used in diabetes, and wrong patient in community setting. These findings inform future studies investigating population-specific medication safety strategies.

Medication errors in inquiries to the Poison Information Center Erfurt - a systematic analysis

INTRODUCTION

Poison Information Centers (PICs) fulfil the legal mandate to provide advice and answer inquiries from healthcare professionals and medical nonprofessionals on measures to be taken in the event of an intoxication. Medication errors might be a frequent cause of intoxication. However, hardly any data on medication errors are available from PICs.

AIM

We aimed to investigate the incoming inquiries of a PIC with regard to medication errors.

METHODS

In the PIC database, we identified and analyzed medication errors in a retrospective analysis of inquiries from 2013 to 2020. We distinguished between medication errors committed by (i) laypersons or by healthcare professionals in (iia) medical care facilities or (iib) home care facilities. We evaluated the estimated potential risk of toxicity to assess the potential harm to the patient.

RESULTS

From 152,149 inquiries in total, 43.5% (n = 66,229) dealt with drug exposures. We identified medication error in 19.1% (n = 12,619) of those inquiries. Of those medication errors, 80.1% (n = 10,113) were committed by (i) laypersons and 19.9% (n = 2506) were committed by healthcare professionals, with nearly equal proportions occurring in medical care and in home care [(iia) 49.6% and (iib) 50.4%, respectively]. A total of 18,718 drugs were involved, with most medication errors found for ibuprofen, acetaminophen, and levothyroxine. The medication errors led to a minor estimated risk of toxicity in 46.6% (5,877/12,619); moderate and severe risk occurred in 7.0% (886/12,619) and 2.6% (329/12,619), respectively. Medication errors caused by laypersons or healthcare professionals in home care were associated with a lower risk compared to those caused by healthcare professionals in medical care (p < 0.001).

CONCLUSION

This study identified medication errors that were committed mainly by laypersons in almost 80% of the medication inquiries to a PIC. Medication errors caused by healthcare professionals in medical care led to a higher risk of harm to the patients.

Characterization of Medication Errors in a Medical Intensive Care Unit of a University Teaching Hospital in South Korea

OBJECTIVES

The objective of this study was to characterize the current status of medication errors (MEs) throughout the medication therapy process from prescribing to use and monitoring in a medical intensive care unit (MICU) in Korea.

METHODS

Four trained research pharmacists collected data through retrospectively reviewing electronic medical records for adults hospitalized in the MICU in 2017. The occurrence of MEs was determined through interprofessional team discussion led by an academic faculty pharmacist and a medical intensivist based on the medication administration records (MARs). The type of MEs and the consequent ME-related outcome severity were categorized according to the Pharmaceutical Care Network Europe and the National Coordinating Council for Medication Error Reporting and Prevention, respectively.

RESULTS

Overall, electronic medical records for 293 patients with 78,761 MARs were reviewed in this study. At least one type of ME occurred in 271 patients (92.5%) in association with 16,203 MARs (21%), primarily caused by inappropriate dose (35.5%), drug (27.8%), and treatment duration (25.1%). Clinically significant harmful events occurred in 24 patients (8%), including life-threatening (n = 5) and death (n = 2) cases. The 2 patients died of enoxaparin-induced fatal hemorrhage and neutropenia associated with ganciclovir and cefepime. Antibiotics were the most common culprit medications leading to clinically significant harmful events.

CONCLUSIONS

In conclusion, MEs are prevalent in the MICU in Korea, most commonly prescribing errors. Although mostly benign, harmful events including deaths may occur due to MEs, mainly associated with antibiotics. Systematic strategies to minimize these potentially fatal MEs are urgently needed.

Medication-related adverse events in health care-what have we learned? A narrative overview of the current knowledge

Purpose

Although medication-related adverse events (MRAEs) in health care are vastly studied, high heterogeneity in study results complicates the interpretations of the current situation. The main objective of this study was to form an up-to-date overview of the current knowledge of the prevalence, risk factors, and surveillance of MRAEs in health care.

Methods

Electronic databases (PubMed, MEDLINE, Web of Science, and Scopus) were searched with applicable search terms to collect information on medication-related adverse events. In order to obtain an up-to-date view of MRAEs, only studies published after 2000 were accepted.

Results

The prevalence rates of different MRAEs vary greatly between individual studies and meta-analyses. Study setting, patient population, and detection methods play an important role in determining detection rates, which should be regarded while interpreting the results. Medication-related adverse events are more common in elderly patients and patients with lowered liver or kidney function, polypharmacy, and a large number of additional comorbidities. However, the risk of MRAEs is also significantly increased by the use of high-risk medicines but also in certain care situations. Preventing MRAEs is important as it will decrease patient mortality and morbidity but also reduce costs and functional challenges related to them.

Conclusions

Medication-related adverse events are highly common and have both immediate and long-term effects to patients and healthcare systems worldwide. Conclusive solutions for prevention of all medication-related harm are impossible to create. In the future, however, the development of efficient real-time detection methods can provide significant improvements for event prevention and forecasting.

A cost-benefit analysis of hospital-wide medication reviews: a period prevalence study

Background For specific medical specialties it has been shown that clinical pharmacists can have a beneficial effect on the reduction of drug-related problems by performing medication reviews. However, little is known on the cost–benefit ratio of hospital-wide implementation of medication reviews. Aim To investigate the effect of conducting hospital-wide medication reviews on the detection and resolution of drug-related problems, and to calculate the cost–benefit ratio of the intervention. Method In this observational prospective period prevalence study, medication reviews were conducted during five consecutive working days in a Dutch university hospital. Patients admitted for more than 24 h were included. The cost–benefit ratio of conducting the medication reviews was calculated by dividing the total costs by the total savings. Results In 622 medication reviews, 709 potential drug-related problems (1.1 per patient) were detected. The most common advice was to stop medication (38.6%). Patients with a potentially drug-related problem were significantly older, had a higher median number of prescriptions, and the median number of days from admission to the time of medication reviews was longer. Conducting medication reviews showed a positive cost–benefit ratio of 9.7. Conclusions Hospital-wide medication reviews by clinical pharmacists have a positive cost–benefit ratio and contribute to the detection and the resolution of drug related problems (DRPs), mainly by reducing overtreatment.

Dose Verification Errors in Hospitals: Literature Review of the eMAR-based Systems Used by Nurses

BACKGROUND

The effectiveness of the dose verification features of the electronic medication administration record (eMAR) and complementary systems in the hospital setting is not well understood.

PURPOSE

The authors completed a narrative synthesis of literature findings on the effectiveness of eMAR-based systems in the hospital setting.

METHODS

A literature review was carried out across 5 bibliographic databases to evaluate the safety features of current eMAR-based systems in preventing dosing errors and design issues that impede their usability.

RESULTS

While eMAR-based systems are beneficial to reducing order and drug cross-checking errors, safe dose verification features are sporadically available for targeted tasks. Overall, the eMAR had little impact on preventing low to moderate dosing errors. Dosing errors may occur because of error-prone activities that result from system design and work process issues during medication administration.

Implementation of a pharmacist-led ARVSP in an academic hospital to reduce ART errors

OBJECTIVES

The primary objective was to compare the percentage of Antiretroviral Therapy (ART) uncorrected errors during hospital admission before and after the implementation of an Antiretroviral Stewardship Program (ARVSP).

PRACTICE DESCRIPTION

This was a 2-year single-center, pre-post quality improvement study. Included in the study were admitted patients at least 18 years of age, diagnosed with human immunodeficiency virus (HIV), and taking at least 1 antiretroviral. The baseline percentage of uncorrected ARV errors was retrospectively determined during the first year. The second year consisted of implementing an ARVSP that prospectively audited ART orders. The ARVSP consisted of a pharmacy resident, a medical resident, an infectious disease, HIV trained pharmacist, an infectious disease physician, and ancillary health care providers. The impact of the ARVSP was assessed by comparing the percentage of uncorrected errors between the 2 time periods.

RESULTS

The number of uncorrected errors were 64.1% versus 31.1% before and after ARVSP implementation, respectively (P < 0.05). Delay in therapy errors were statistically significantly reduced (30.1% vs. 22.2%; P < 0.05). The time to overall correction of any error before ARVSP was 3.1 days, and after ARVSP, it was 1.8 days (P = 0.11).

CONCLUSION

Implementation of an ARVSP reduces the number of uncorrected antiretroviral-related errors. Because health care resources are finite and focused on the acute care of hospitalized patients, this multidisciplinary practice model may provide a practical approach for similar institutions to improve antiretroviral stewardship surveillance in the inpatient setting.

Identifying Risk Areas of Medication Administration Process for Developing an Interactive Three-Dimensional Game Intervention

The aim of this study was to describe identified risk areas related to the medication administration process in acute care in order to develop a three-dimensional-game intervention. A secondary analysis was conducted using (1) observed medication administrations (n = 1058) and identified medication errors in 2012 (n = 235), (2) a systematic review including a meta-analysis of previous medication administration educational interventions (n = 14) from 2000 to 2015, (3) incident reports of medication administration errors (n = 1012) from 2013 to 2014, and (4) focus group interviews with RNs' (n = 20) views in 2015. A qualitative content analysis was used to identify risk areas, and the data were organized according to the following main themes: (1) factors related to patients (patient identification, patients' characteristics or symptoms, and patients' allergies and interactions); (2) factors related to medications (medication information, changes in medications, generic substitutes, new drugs, look-alike/sound-alike drugs, demanding drug treatments, medication preparation, and administration techniques); (3) factors related to staffing (workload, skills, interruptions and distractions, division of work, responsibility, attitudes, and guidelines); and (4) factors related to communication (flow of information, communication with the patients, and marking of medication information). Identified risk areas could be used to develop interventions with the aim of increasing the safety of medication administration and nurses' skills.

A Prospective Study on Medication Errors in an Intensive Care Unit

Objectives

Any preventable event related to drugs that may cause harm to a patient is known as "medication error". Errors occur due to a lack of knowledge, poor performance, and psychological lapses. The pharmacists has a major role along with physicians, nurses, and administrators to examine and improve the healthcare system in order to ensure patient safety. The objective of this study was to determine the frequency, causes, and types of medication errors in the secondary-care intensive care unit.

Materials and Methods

All medical records of intensive care unit patients, above 14 years of age, listing their co-morbid/non-co-morbid conditions, occupation, caste, and gender, were checked for medication errors for a period of 6 months at Government Head Quarters Hospital, Udhagamandalam.

Results

According to the results of this study, 116 medication errors were found in 103 patients in the intensive care unit. The number of medication errors was higher in men than in women. The most common medication errors were prescription errors, which were due to illegible handwriting; the use of lookalike drugs; and incomplete dose, dosage, and frequency.

Conclusion

Considering the results of this study, it is important to increase awareness among healthcare professionals of varying stature about the significance of medication errors. It is also necessary to change the existing prescribing techniques and clearly differentiate lookalike drugs to avoid medication errors.

Prescribing errors and associated factors in discharge prescriptions in the emergency department: A prospective cross-sectional study

OBJECTIVES

Evidence regarding the prevalence of medication prescribing errors (PEs) and potential factors that increase PEs among patients treated in the emergency department (ED) are limited. This study aimed to explore the prevalence and nature of PEs in discharge prescriptions in the ED and identify potential risk factors associated with PEs.

METHODS

This was a prospective observational cross-sectional study in an ambulatory ED in a tertiary teaching hospital. Data were collected for six months using a customized reporting tool. All patients discharged from ED with a discharged prescription within the study period were enrolled in this study.

RESULTS

About 13.5% (n = 68) of the 504 prescriptions reviewed (for 504 patients) had at least one error. Main PEs encountered were wrong dose (23.2%), wrong frequency (20.7%), and wrong strength errors (14.6%). About 36.8% of identified PEs were related to pediatric prescriptions, followed by the acute care emergency unit (26.5%) and the triage emergency unit (20.6%). The main leading human-related causes associated with PEs were lack of knowledge (40.9%) followed by an improper selection from a computer operator list (31.8%). The leading contributing systems related factors were pre-printed medication orders (50%), lack of training (31.5%), noise level (13.0%), and frequent interruption of prescriber and distraction (11.1%). Prescribers' involved with the identified errors were resident physicians (39.4%), specialists (30.3%), and (24.4%) were made by general practitioners. Physicians rejected around 12% of the pharmacist-raised recommendations related to the identified PEs as per their clinical judgment.

CONCLUSION

PEs in ED setting are common, and multiple human and systems-related factors may contribute to the development of PEs. Further training to residents and proper communication between the healthcare professionals may reduce the risk of PEs in ED.

Nature of dispensing errors in selected hospitals providing free healthcare: a multi-center study in Sri Lanka

Background

Dispensing errors, known to result in significant patient harm, are preventable if their nature is known and recognized. However, there is a scarcity of such data on dispensing errors particularly in resource poor settings, where healthcare is provided free-of-charge. Therefore, the purpose of this study was to determine the types, and prevalence of dispensing errors in a selected group of hospitals in Sri Lanka.

Methods

A prospective, cross sectional, multi-center study on dispensing errors was conducted, in a single tertiary care, and two secondary care hospitals, in a cohort of 420 patients attending medical, surgical, diabetic and pediatric clinics. The patients were selected according to the population size, through consecutive sampling. The prescription audit was conducted in terms of dispensing errors which were categorized as i) content, ii) labelling, iii) documentation, iv) concomitant, and v) other errors based on in-house developed definitions.

Results

A total of 420 prescriptions (1849 medicines) were analyzed (Hospital-I, 248 prescriptions-1010 medicines; Hospital-II, 84 prescriptions-400 medicines; Hospital-III, 88 prescriptions-439 medicines), and a cumulative total of 16,689 dispensing errors (at least one dispensing error in a prescription) were detected. Labelling errors were the most frequent dispensing error (63.1%; N = 10,523; Mostly missing information on the dispensing label), followed by concomitant prescribing and dispensing errors (20.5%; N = 3425; Missing prescribing information overlooked by the pharmacist), documentation errors (10.6%; N = 1772 Missing identification of pharmacist on dispensing label), clinically significant medication interactions overlooked by pharmacists (0.5%; N = 82), content errors (4.9%; N = 812; Discrepancies between medication dispensed and prescription order), medications dispensed in unsuitable packaging (0.4%; N = 74), and lastly medication dispensed to the wrong patient (0.01%; N = 1).

Conclusions

Dispensing errors are frequent in Sri Lankan hospitals which operate with limited resources and provide free healthcare to all citizenry. Over one half of the errors were labeling errors with minimal content errors. Awareness on common types of dispensing errors and emphasis on detecting them could improve medication safety in Sri Lankan hospitals.

Serious Inadequacies in High Alert Medication-Related Knowledge Among Pakistani Nurses: Findings of a Large, Multicenter, Cross-sectional Survey

Introduction

Deaths-related to medications errors are common in Pakistan but these are not accurately reported. Recently, the death of a 9 months old baby due to abrupt administration of 15% potassium chloride injection sparked the issue of high alert medications (HAMs) related errors in the country. Since drug administration is the prime responsibility of the nurses, it is pivotal that they possess good knowledge of HAMs. Since there is no published data regarding the knowledge of HAMs among Pakistani nurses, we aimed to assess knowledge of HAMs among registered nurses of Pakistan.

Methods

A cross-sectional study was conducted among registered nurses, recruited using a convenient sampling technique, from 29 hospitals all over the Punjab Province. Data were collected using a validated self-administered instrument. All data were entered and analyzed using SPSS version 22.

Results

The study sample was comprised of 2,363 registered nurses (staff nurses = 94.8%, head nurses = 5.2%). Around 63% were working in tertiary hospitals whereas almost 25 and 12% were from district headquarter hospitals and tehsil headquarter hospitals, respectively. Around 84% of the study participants achieved scores <70%, indicating majority of Pakistani nurses having poor knowledge of HAMs administration as well as regulation. There was no significant difference of overall knowledge among age, hospitals, departments, training, designations, qualification, and experience categories. Major obstacles encountered during HAMs administration were "getting uncertain answers from colleagues" (72.9%), "unavailability of suitable person to consult" (61.1%) and "receiving verbal orders" (55.6%).

Conclusion

Our study revealed the serious inadequacies in HAMs knowledge among Pakistani nurses which may lead to adverse patient outcomes. Nurses should receive comprehensive pharmacology knowledge not only during in-school nursing education but also as hospital-based continuing education. Moreover, it is of immense importance to bridge the gaps between physicians, clinical pharmacists, and nurses through effective communication as this will help reduce medication errors and improve patient care.

The Risks and Outcomes Resulting From Medication Errors Reported in the Finnish Tertiary Care Units:: A Cross-Sectional Retrospective Register Study

Background: Hospital-acquired medication errors (MEs) are common in health care. Although voluntary reporting is criticized for not producing reliable estimates on ME frequency, it provides valuable knowledge on errors occurring in the medication process. Objective: The purpose of this study was to analyze and determine the risks and outcomes resulting from MEs related to the TOP15 medicines in the Finnish tertiary care units from July 2016 to July 2017. Methods: The data consisting of 1,447 ME reports was organized according to ATC classification, after which TOP15 medicines involved in the reports were selected. Inductive content analysis was performed to the reports. After this, the reports were categorized by ME outcome into five categories and further analyzed accordingly. Results: The most common ME outcome in the reports was "omitted medicine" (33.9%). More than a quarter (27.1%) of ME reports were estimated to cause moderate or severe risk to the patient. When compared with each other, none of the outcome groups were more susceptible to high-risk events (p = 0.71). Of the TOP15 medicines, only Norepinephrine had significantly higher risk of being involved in high-risk events (OR 2.43, 95%CI 1.35-4.61). Conclusion: Voluntary reporting has an important role in the development of medication safety and the overall medication process within organizations. Although majority of the TOP15 medicines were involved in MEs resulting in seemingly high-risk outcomes, they were estimated to be insignificant or minor within the reporting unit. In the future, more emphasis will be needed for the assessment and analysis of the reports for more efficient, real-time detection and response to signals from health care units.

Readmission Rates Associated with Pharmacist Involvement in a Geriatric Transitional Care Management Clinic

Objective:

To evaluate the impact of a post-discharge pharmacist telephone call on 30- and 90- day readmission rates as part of a transitional care management (TCM) service in a geriatric patient-centered medical home (PCMH).

Methods:

Adults 60 years of age and older who had established primary care at the PCMH for at least one year and were discharged from the hospital between 7/1/2013 and 2/21/2016 were included. Readmission rates for patients who received and did not receive a pharmacist TCM phone call were compared. Secondary data analysis was conducted between individuals who received all three components of the service compared with those who received on a nurse navigator plus primary care provider (PCP) visit.

Results:

Among 513 discharges of unique patients (mean age, 80.4 years; women 63%), 269 (52.4%) received a pharmacist phone call. Readmission rates at 30 days were 8.9% for patients who received a pharmacist TCM phone call compared to 12.7% for those who did not receive this service (OR 0.67 [95% CI, 0.38-1.18; P=0.17]). When comparing only those individuals who received all three components of the service (pharmacist, nurse navigator, and PCP) (n=215) compared to those who received only a nurse navigator plus PCP visit (n=66), there was no difference in 30-day readmission rates (7.9% vs. 10.6%, p=0.49). However, there were significantly fewer readmissions within 90-days (16.3% vs. 31.8%, p=0.01).

Conclusion:

Pharmacist phone calls as part of an interdisciplinary TCM service did not result in a statistically significant difference regarding readmission rates at 30 days; however, patients who received all three components of the service had significantly fewer readmissions at 90 days, compared to patients who did not speak with a pharmacist but did complete a visit with a nurse navigator and physician. Future research is needed to determine which patients may benefit the most from this service and to identify strategies to increase patient participation.

Cost-saving medication therapy management for outpatients

Objective:

Medication costs comprise the majority of health system budgets and continue to increase faster than other health-care expenditures. The objective of this study is to evaluate the causes and monetary value of cost-saving prescription interventions made by clinical pharmacists in outpatient pharmacy.

Materials and Methods:

Outpatient prescriptions were randomly audited for a period of 11 months (August 2017–June 2018) using a customized outpatient prescription audit tool integrated with computerized physician order entry. Drug-related problems were communicated to respective prescribers, and their response to each intervention was documented in accordance with PCNE classification. Both unit dose cost and anticipated dose cost savings were calculated to evaluate the monetary benefit for patients.

Results:

Unit dose cost of INR 4875.73 and anticipated dose cost of INR 26890.8 were saved from outpatients. Majority of the prescribing errors were associated with therapeutic duplication (43.4%) and drug interaction (25.7%) that account for anticipated dose cost savings of INR 17812.65 for patients. Major contributory drug classes that reduced the cost of therapy were antibiotics (24.23%), proton-pump inhibitors (13.27%), and analgesics (12.34%). Prescribers' response to pharmacist intervention varied, 53% responded to stop the drug, 21% responded to change the brand, and 20% changed the frequency of administration. Necessary instructions were verbally given to patients without making any modification in the prescription for 3.2% (n = 10) of cost-saving interventions.

Discussion and Conclusion:

As clinical pharmacist has the expertise to detect, resolve, and prevent medication errors, the development of clinical pharmacy practice in a hospital outpatient pharmacy will have a significant impact on reducing prescription errors and health-care cost also.

Proactive risk assessment of vincristine use process in a teaching and referral hospital in Kenya and the implications

INTRODUCTION

The chemotherapy use process is potentially risky for cancer patients. Vincristine, a "High Alert" medicine, has been associated with fatal but preventable medication errors. Consequently, there is a need to improve the use of vincristine especially in lower- and middle-income countries where there are constraints with resources and often a lack of trained personnel to administer cancer medicines. However, where there is a rising prevalence of cancer cases. These concerns can be addressed by performing proactive risk assessments using Healthcare Failure Mode Effect Analysis (HFMEA) and implementing the findings.

METHODS

A multidisciplinary health team driven by pharmacists identified and evaluated potential failure modes based on a vincristine use process flow diagram using a hazard scoring matrix in a leading referral hospital in Kenya.

RESULTS

The processes evaluated were: prescribing, preparation and dispensing, transportation and storage, administration and monitoring of the use of vincristine. Seventy-seven failure modes were identified over the three-month study period, of which 25 were classified as high risk. Thirteen were adequately covered by existing control measures while 12 including one combined mode required new strategies. Two of the failure modes were single-point weaknesses. Recommendations were subsequently made for improving the administration of vincristine.

CONCLUSIONS

HFMEA is a useful tool to identify improvements to medication safety and reduction of patient harm. The HFMEA process brings together the multidisciplinary team involved in patient care in actively identifying potential failure modes and owning the recommendations made, which are now being actively followed up in this hospital. Pharmacists are a key part of this process.

Factors related to medication errors in the preparation and administration of intravenous medication in the hospital environment

BACKGROUND

Medication errors have long been associated with low-quality medical care services and significant additional medical costs.

OBJECTIVE

The aim of this study was to culturally adapt and validate the questionnaire on knowledge, attitudes and behaviors in the administration of intravenous medication, as well as to explore these factors in a hospital setting.

METHODS

The study was divided into two phases: 1) validation and cross-cultural adaptation, and 2) cross-sectional study. A total of 276 hospital-based nursing professionals participated in the study.

RESULTS

A Cronbach's alpha value of 0.849 was found, indicating good internal consistency. In the multivariate analysis, statistically significant differences were found between knowledge and attitudes, demonstrating that having greater suitable knowledge correlates with having a more positive attitude. It was also discovered that having a positive attitude as well as the necessary knowledge increases the possibility of engaging in adequate behaviors.

CONCLUSIONS

The knowledge, attitudes and behavior questionnaire has a satisfactory internal consistency in order to be applied to the Spanish context. Implications for nursing management: Knowledge acquisition and positive attitude are both factors which promote adequate behavior, which in turn seems to have an impact on medication errors prevention. Health institutions must encourage continuous education for their employees.

Systemic analysis of medication administration omission errors in a tertiary-care hospital in Quebec

OBJECTIVE

Medication administration omission errors (MAOEs) occur frequently in hospitals and can significantly affect patient health. An interdisciplinary committee was formed in summer 2012 to analyse incident/accident reports (AH-223-1 forms) of MAOEs for the 2011-2012 fiscal year in order to identify contributing factors and to propose preventive solutions. Special attention was paid to events with consequences for patients.

METHOD

An aggregate data analysis involving four major steps was conducted: sampling, categorisation, identification of contributing factors, and seeking preventive solutions. One hundred omissions were randomly selected from the 889 reported for this period. All omissions categorised as having had consequences for patients were then added, making a final total of 145 omissions. The omissions were categorised using an Ishikawa diagram developed from an exploratory literature review and process mapping. Subsequent to failure modes, effects and criticality analysis, cause-and-effect diagrams were constructed with the main prioritised categories to differentiate the proximal causes from the root causes. Brainstorming was used to develop solutions, which were then prioritised with an impact/effort matrix.

RESULTS

This study identified 27 categories of MAOEs, of which the 7 most frequent and the most critical accounted for 79.3% of the reports. The event categories, in decreasing order of importance, were related to intravenous (IV) therapy (29.0%), failure in using the medication administration record (MAR; 23.4%), failure in creating/updating the MAR (10.3%), medications on the patient's bedside (7.6%), and three types of MAOEs related to transcribing prescriptions (9.0%).

CONCLUSION

The interdisciplinary committee formulated 10 main recommendations related to these 7 categories, including 3 for IV therapy and 4 for failure in using or creating/updating the MAR.

Medication audit and feedback by a clinical pharmacist decrease medication errors at the PICU: An interrupted time series analysis

OBJECTIVE

Medication errors (MEs) are one of the most frequently occurring types of adverse events in hospitalized patients and potentially more harmful in children than in adults. To increase medication safety, we studied the effect of structured medication audit and feedback by a clinical pharmacist as part of the multidisciplinary team, on MEs in critically ill children.

METHOD

We performed an interrupted time series analysis with 6 preintervention and 6 postintervention data collection points, in a tertiary pediatric intensive care unit. We included intensive care patients admitted during July to December 2013 (preintervention) and July to December 2014 (postintervention). The primary endpoint was the prevalence of MEs per 100 prescriptions. We reviewed the clinical records of the patients and the incident reporting system for MEs. If an ME was suspected, a pediatrician-intensivist and a clinical pharmacist determined causality and preventability. They classified MEs as harmful according to the National Coordinating Council for Medication Error Reporting and Prevention categories.

RESULTS

We included 254 patients in the preintervention period and 230 patients in the postintervention period. We identified 153 MEs in the preintervention period, corresponding with 2.27 per 100 prescriptions, and 90 MEs in the postintervention period, corresponding with 1.71 per 100 prescriptions. Autoregressive integrated moving average analyses revealed a significant change in slopes between the preintervention and postintervention periods (β = -.21; 95% CI, -0.41 to -0.02; P = .04). We did not observe a significant decrease immediately after the start of the intervention (β = -.61; 95% CI, -1.31 to 0.08; P = .07).

CONCLUSION

The implementation of a structured medication audit, followed by feedback by a clinical pharmacist as part of the multidisciplinary team, resulted in a significant reduction of MEs in a tertiary pediatric intensive care unit.

Period prevalence and reporting rate of medication errors among nurses in Iran: A systematic review and meta-analysis

AIMS

To estimate the 1-year period prevalence of medication errors and the reporting rate to nurse managers among nurses working in hospitals in Iran.

BACKGROUND

Medication errors are one of the main factors affecting the quality of hospital services and reducing patient safety in health care systems.

METHOD

A literature search from Iranian and international scientific databases was developed to find relevant studies. Meta-regression was used to identify which characteristics may have a confounding effect on the pooled prevalence estimates.

RESULTS

Based on the final 22 studies with 3556 samples, the overall estimated 1-year period prevalence of medication errors and its reporting rate to nurse managers among nurses were 53% (95% confidence interval, 41%-60%) and 36% (95% confidence interval, 23%-50%), respectively. The meta-regression analyses indicated that the sex (female/male) ratio was a statistically significant predictor of the prevalence of medication errors (p < .05), but not of the prevalence of reporting medication errors to nurse managers.

CONCLUSION

The period prevalence of medication errors among nurses working in hospitals was high in Iran, whereas its reporting rate to nurse managers was low.

IMPLICATIONS FOR NURSING MANAGEMENT

Continuous training programmes are required to reduce and prevent medication errors among nursing staff and to improve the reporting rate to nurse managers in in Iran.

Impact of Psychosocial Factors on Occurrence of Medication Errors among Tehran Public Hospitals Nurses by Evaluating the Balance between Effort and Reward

Background

Patient safety and accurate implementation of medication orders are among the essential requirements of par nursing profession. In this regard, it is necessary to determine and prevent factors influencing medications errors. Although many studies have investigated this issue, the effects of psychosocial factors have not been examined thoroughly.

Methods

The present study aimed at investigating the impact of psychosocial factors on nurses' medication errors by evaluating the balance between effort and reward. This cross-sectional descriptive study was conducted in public hospitals of Tehran in 2015. The population of this work consisted of 379 nurses. A multisection questionnaire was used for data collection.

Results

In this research, 29% of participating nurses reported medication errors in 2015. Most frequent errors were related to wrong dosage, drug, and patient. There were significant relationships between medications errors and the stress of imbalance between effort and reward (p < 0.02) and job commitment and stress (p < 0.027).

Conclusion

It seems that several factors play a role in the occurrence of medication errors, and psychosocial factors play a crucial and major role in this regard. Therefore, it is necessary to investigate these factors in more detail and take them into account in the hospital management.

Medication errors among nurses in teaching hospitals in the west of Iran: what we need to know about prevalence, types, and barriers to reporting

OBJECTIVES

This study aimed to examine the prevalence and types of medication errors (MEs), as well as barriers to reporting MEs, among nurses working in 7 teaching hospitals affiliated with Kermanshah University of Medical Sciences in 2016.

METHODS

A convenience sampling method was used to select the study participants (n=500 nurses). A self-constructed questionnaire was employed to collect information on participants' socio-demographic characteristics (10 items), their perceptions about the main causes of MEs (31 items), and barriers to reporting MEs to nurse managers (11 items). Data were collected from September 1 to November 30, 2016. Negative binomial regression was used to identify the main predictors of the frequency of MEs among nurses.

RESULTS

The prevalence of MEs was 17.0% (95% confidence interval, 13.7 to 20.3%). The most common types of MEs were administering medications at the wrong time (24.0%), dosage errors (16.8%), and administering medications to the wrong patient (13.8%). A heavy workload and the type of shift work were considered to be the main causes of MEs by nursing staff. Our findings showed that 45.0% of nurses did not report MEs. A heavy workload due to a high number of patients was the most important reason for not reporting MEs (mean score, 3.57±1.03) among nurses. Being male, having a second unrelated job, and fixed shift work significantly increased MEs among nurses (p=0.001).

CONCLUSIONS

Our study documented a high prevalence of MEs among nurses in the west of Iran. A heavy workload was considered to be the most important barrier to reporting MEs among nurses. Thus, appropriate strategies (e.g., reducing the nursing staff workload) should be developed to address MEs and improve patient safety in hospital settings in Iran.

Applying the Theoretical Domains Framework to identify barriers and targeted interventions to enhance nurses' use of electronic medication management systems in two Australian hospitals

Background

Medication errors harm hospitalised patients and increase health care costs. Electronic Medication Management Systems (EMMS) have been shown to reduce medication errors. However, nurses do not always use EMMS as intended, largely because implementation of such patient safety strategies requires clinicians to change their existing practices, routines and behaviour. This study uses the Theoretical Domains Framework (TDF) to identify barriers and targeted interventions to enhance nurses’ appropriate use of EMMS in two Australian hospitals.

Methods

This qualitative study draws on in-depth interviews with 19 acute care nurses who used EMMS. A convenience sampling approach was used. Nurses working on the study units (N = 6) in two hospitals were invited to participate if available during the data collection period. Interviews inductively explored nurses’ experiences of using EMMS (step 1). Data were analysed using the TDF to identify theory-derived barriers to nurses’ appropriate use of EMMS (step 2). Relevant behaviour change techniques (BCTs) were identified to overcome key barriers to using EMMS (step 3) followed by the identification of potential literature-informed targeted intervention strategies to operationalise the identified BCTs (step 4).

Results

Barriers to nurses’ use of EMMS in acute care were represented by nine domains of the TDF. Two closely linked domains emerged as major barriers to EMMS use: Environmental Context and Resources (availability and properties of computers on wheels (COWs); technology characteristics; specific contexts; competing demands and time pressure) and Social/Professional Role and Identity (conflict between using EMMS appropriately and executing behaviours critical to nurses’ professional role and identity).

The study identified three potential BCTs to address the Environmental Context and Resources domain barrier: adding objects to the environment; restructuring the physical environment; and prompts and cues. Seven BCTs to address Social/Professional Role and Identity were identified: social process of encouragement; pressure or support; information about others’ approval; incompatible beliefs; identification of self as role model; framing/reframing; social comparison; and demonstration of behaviour. It proposes several targeted interventions to deliver these BCTs.

Conclusions

The TDF provides a useful approach to identify barriers to nurses’ prescribed use of EMMS, and can inform the design of targeted theory-based interventions to improve EMMS implementation.

Electronic supplementary material

The online version of this article (doi:10.1186/s13012-017-0572-1) contains supplementary material, which is available to authorized users.

Economic impact of medication error: a systematic review

PURPOSE

Medication error is a significant source of morbidity and mortality among patients. Clinical and cost-effectiveness evidence are required for the implementation of quality of care interventions. Reduction of error-related cost is a key potential benefit of interventions addressing medication error. The aim of this review was to describe and quantify the economic burden associated with medication error.

METHODS

PubMed, Cochrane, Embase, CINAHL, EconLit, ABI/INFORM, Business Source Complete were searched. Studies published 2004-2016 assessing the economic impact of medication error were included. Cost values were expressed in Euro 2015. A narrative synthesis was performed.

RESULTS

A total of 4572 articles were identified from database searching, and 16 were included in the review. One study met all applicable quality criteria. Fifteen studies expressed economic impact in monetary terms. Mean cost per error per study ranged from €2.58 to €111 727.08. Healthcare costs were used to measure economic impact in 15 of the included studies with one study measuring litigation costs. Four studies included costs incurred in primary care with the remaining 12 measuring hospital costs. Five studies looked at general medication error in a general population with 11 studies reporting the economic impact of an individual type of medication error or error within a specific patient population.

CONCLUSIONS

Considerable variability existed between studies in terms of financial cost, patients, settings and errors included. Many were of poor quality. Assessment of economic impact was conducted predominantly in the hospital setting with little assessment of primary care impact. Limited parameters were used to establish economic impact. Copyright © 2017 John Wiley & Sons, Ltd.

Medication errors room: a simulation to assess the medical, nursing and pharmacy staffs' ability to identify errors related to the medication-use system

RATIONALE, AIMS AND OBJECTIVES

The medication-use system in hospitals is very complex. To improve the health professionals' awareness of the risks of errors related to the medication-use system, a simulation of medication errors was created. The main objective was to assess the medical, nursing and pharmacy staffs' ability to identify errors related to the medication-use system using a simulation. The secondary objective was to assess their level of satisfaction.

METHOD

This descriptive cross-sectional study was conducted in a 500-bed mother-and-child university hospital. A multidisciplinary group set up 30 situations and replicated a patient room and a care unit pharmacy. All hospital staff, including nurses, physicians, pharmacists and pharmacy technicians, was invited. Participants had to detect if a situation contained an error and fill out a response grid. They also answered a satisfaction survey.

RESULTS

The simulation was held during 100 hours. A total of 230 professionals visited the simulation, 207 handed in a response grid and 136 answered the satisfaction survey. The participants' overall rate of correct answers was 67.5% ± 13.3% (4073/6036). Among the least detected errors were situations involving a Y-site infusion incompatibility, an oral syringe preparation and the patient's identification. Participants mainly considered the simulation as effective in identifying incorrect practices (132/136, 97.8%) and relevant to their practice (129/136, 95.6%). Most of them (114/136; 84.4%) intended to change their practices in view of their exposure to the simulation.

CONCLUSIONS

We implemented a realistic medication-use system errors simulation in a mother-child hospital, with a wide audience. This simulation was an effective, relevant and innovative tool to raise the health care professionals' awareness of critical processes.

MEDICATION SYSTEM: ANALYSIS OF ACTIONS TAKEN BY PROFESSIONALS IN PSYCHIATRIC UNITS

ABSTRACT This study analyzed the medication systems in psychiatric units of a general hospital and a psychiatric hospital in the state of São Paulo, Brazil. It is a quantitative and cross-sectional, exploratory survey study with 144 professionals from the areas of medication, nursing and pharmacy. Data were collected by direct, non-participative observation and by medical records review. Data were analyzed using descriptive statistics. Factors that affect patient safety, such as interruptions during prescription, handwritten changes to electronic prescriptions, limited handling of the electronic prescription system, unavailable clinical pharmacy, mistakes in activities related to the preparation and administration of medications and other factors were identified. The study reveals the susceptible points for the occurrence of medication errors in psychiatric hospitalization departments and discusses recommendations and technological resources that can promote security in the medication system.