The medication discrepancy taxonomy (MedTax): The development and validation of a classification system for medication discrepancies identified through medication reconciliation

Using personal health records for medication continuity during transition of care: An observational study

Background: National Personal Health Records (PHRs) have been proposed to improve the transfer of medication-related information during transition of care. Objective: To evaluate the concordance between the medications captured in the Australian national PHR, My Health Record (MyHR), and the pharmacist obtained best possible medication history (BPMH) for patients upon hospital admission. Method: This prospective observational study used a convenience sample of hospital patients. For newly admitted patients, the investigating pharmacist obtained a BPMH and then compared it to the medication list captured in MyHR. Upon comparison, the medications were categorised into either complete match, partial match or mismatch. Medications with a complete or partial match were grouped together. Medications with deviations were then assessed for risk based on their potential consequence, and reported descriptively. A multivariable logistic regression was conducted to assess the factors associated with a drug being mismatched. Results: A total of 82 patients were recruited, with a cumulative total of 1,207 medications documented. Of the 1,207 medications, 714 (59.2%) medications were documented as a complete/partial match. The remaining 493 (40.8%) medications were mismatched. Of the 493 mismatched medications, 442 (89.7%) were deemed low-risk deviations and 51 (10.3%) were deemed high-risk. A medication was more likely to be mismatched, rather than completely/partially matched, if it was a regular non-prescription medication, or "when-required" prescription medication, or "when required" non-prescription medication, or if it was administered parenterally. Conclusion: National PHRs may be a secondary source to either confirm a patient's medication history or be used as a starting point for a BPMH.

Taxonomy development methods regarding patient safety in health sciences - A systematic review

BACKGROUND

Taxonomies are needed for automated analysis of clinical data in healthcare. Few reviews of the taxonomy development methods used in health sciences are found. This systematic review aimed to describe the scope of the available taxonomies relative to patient safety, the methods used for taxonomy development, and the strengths and limitations of the methods. The purpose of this systematic review is to guide future taxonomy development projects.

METHODS

The CINAHL, PubMed, Scopus, and Web of Science databases were searched for studies from January 2012 to April 25, 2023. Two authors selected the studies using inclusion and exclusion criteria and critical appraisal checklists. The data were analysed inductively, and the results were reported narratively.

RESULTS

The studies (n = 13) across healthcare concerned mainly taxonomies of adverse events and medication safety but little for specialised fields and information technology. Critical appraisal indicated inadequate reporting of the used taxonomy development methods. Ten phases of taxonomy development were identified: (1) defining purpose and (2) the theory base for development, (3) relevant data sources' identification, (4) main terms' identification and definitions, (5) items' coding and pooling, (6) reliability and validity evaluation of coding and/or codes, (7) development of a hierarchical structure, (8) testing the structure, (9) piloting the taxonomy and (10) reporting application and validation of the final taxonomy. Seventeen statistical tests and seven software systems were utilised, but automated data extraction methods were used rarely. Multimethod and multi-stakeholder approach, code- and hierarchy testing and piloting were strengths and time consumption and small samples in testing limitations.

CONCLUSION

New taxonomies are needed on diverse specialities and information technology related to patient safety. Structured method is needed for taxonomy development, reporting and appraisal to strengthen taxonomies' quality. A new guide was proposed for taxonomy development, for which testing is required. Prospero registration number CRD42023411022.

Intervention for a correct medication list and medication use in older adults: a non-randomised feasibility study among inpatients and residents during care transitions

BACKGROUND

Medication discrepancies in care transitions and medication non-adherence are problematic. Few interventions consider the entire process, from the hospital to the patient's medication use at home.

AIM

In preparation for randomised controlled trials (RCTs), this study aimed (1) to investigate the feasibility of recruitment and retention of patients, and data collection to reduce medication discrepancies at discharge and improve medication adherence, and (2) to explore the outcomes of the interventions.

METHOD

Participants were recruited from a hospital and a residential area. Hospital patients participated in a pharmacist-led intervention to establish a correct medication list upon discharge and a follow-up interview two weeks post-discharge. All participants received a person-centred adherence intervention for three to six months. Discrepancies in the medication lists, the Beliefs about Medicines Questionnaire (BMQ-S), and the Medication Adherence Report Scale (MARS-5) were assessed.

RESULTS

Of 87 asked to participate, 35 were included, and 12 completed the study. Identifying discrepancies, discussing discrepancies with physicians, and performing follow-up interviews were possible. Conducting the adherence intervention was also possible using individual health plans for medication use. Among the seven hospital patients, 24 discrepancies were found. Discharging physicians agreed that all discrepancies were errors, but only ten were corrected in the discharge information. Ten participants decreased their total BMQ-S concern scores, and seven increased their total MARS-5 scores.

CONCLUSION

Based on this study, conducting the two RCTs separately may increase the inclusion rate. Data collection was feasible. Both interventions were feasible in many aspects but need to be optimised in upcoming RCTs.

A quality improvement study on the effect of electronic transmission of a basic discharge medication report on medication discrepancies in patients discharged from the hospital

BACKGROUND

Medication discrepancies can occur in transitions of care because of a lack of communication between hospitals and community pharmacies. These discrepancies can lead to preventable adverse drug events (ADEs).

AIM

To investigate the effect of electronic transmission of the basic discharge medication report on unintentional medication discrepancies observed between this report and the 28-day post-discharge status in the community pharmacy.

METHOD

The study took place in a Dutch teaching hospital and 8 community pharmacies. A quality improvement study with a nonrandomized, historically controlled intervention design was performed. The intervention consisted of the electronic transmission of a basic discharge medication report to the community pharmacies. Unintentional medication discrepancies were identified by comparing the basic discharge medication report to the 28-day post-discharge medication record in community pharmacies. The main outcome measure was the proportion of drugs with one or more unintentional discrepancies compared between the historical control group and intervention group, using the chi-square test. Secondary outcome measure was the proportion of patients with one or more unintentional discrepancies.

RESULTS

The participants used a total of 1078 drugs in the control group and 862 in the intervention group. The intervention significantly reduced the proportion of drugs with an unintentional discrepancy from 230 out of 1078 in the control group (21.3%) to 149 out of 862 drugs in the intervention group (17.3%; p = 0.025). At patient level, a non-significant increase was seen (62.4-78.8%; p = 0.41).

CONCLUSION

The electronic transmission of the basic discharge medication report reduced the proportion of drugs with an unintentional discrepancy after discharge, but not the proportion of patients.

Identifying older inpatients at high risk of unintentional medication discrepancies: a classification tree analysis

Unintentional medication discrepancies at admission are differences between the best possible medication history and the prescribed treatment at admission, and are associated with adverse outcomes, particularly in older people. This study aimed to identify the clinical profiles of geriatric inpatients with unintentional medication discrepancies at hospital admission. A classification tree Chi-square Automatic Interaction Detector (CHAID) analysis was conducted to assess those patients' profiles and characteristics that were associated with a higher risk of unintentional medication discrepancies. One-hundred and thirty consecutive older patients admitted to acute care (87 ± 5 years old; 61.8% women) were assessed. The CHAID analysis retrieved 5 clinical profiles of older inpatients with a risk of up to 94.4% for unintentional medication discrepancies. These profiles were determined based on combinations of three characteristics: use of eye drops, frequent falls (≥ 1/year), and admission due to urgent hospitalization. These easily measurable clinical characteristics may be helpful as a supportive measure to improve pharmacological care.

Effectiveness of Medication Reconciliation in a Chinese Hospital: A Pilot Randomized Controlled Trial

Background

Implementing medication reconciliation (MR) was complex and challenging because of the variability in the guidance provided for conducting. The processes of MR adopted in China were different from that recommended by the World Health Organization. A pilot study to inform the design of a future randomized controlled trial to determine the effectiveness of these two workflows was undertaken.

Methods

Patients taking at least one home/regular medication for hypertension, diabetes, or coronary heart disease were recruited at admission, and then were randomized using a computer-generated random number in a closed envelope. In the study group, the pharmacist reviewed electronic medical record systems before communication with patients. In the control group, pharmacists communicated with patients at patient's admission. The time investment of pharmacists for MR process, the number of unintended medication discrepancies, and physician acceptance were tested as outcome measures.

Results

One hundred and forty adult patients were randomized, of which 66 patients in the intervention received MR within 24 hours, while 58 patients in control received MR at some point during admission. The most common condition in the study group was hypertension (coronary heart disease in the control group). The workflow of the study group can save an average 7 minutes per patient compared with the WHO recommended process [17.5 minutes (IQR 14.00, 28.25) vs 24.5 minutes (IQR17.75, 35.25), p = 0.004]. The number of unintended discrepancies was 42 in the study group and 34 in the control group (p = 0.33). Physicians' acceptance in the study and control groups were 87.5% and 92.3%, respectively (p = 0.87).

Conclusion

The results suggest that changes in outcome measures were in the appropriate direction and that the time limit for implementing MR can be set within 48 hours. A future multi-centre RCT study to determine the effectiveness of MR is feasible and warranted.

A Multi-method Exploratory Evaluation of a Service Designed to Improve Medication Safety for Patients with Monitored Dosage Systems Following Hospital Discharge

BACKGROUND AND OBJECTIVE

Medication safety problems are common post-hospital discharge, and an important global healthcare improvement target. The Transfers of Care Around Medicines (TCAM) service was launched by a National Health Service Trust in the North-West of England, initially focusing on patients with new or existing Monitored Dosage Systems (MDS). The TCAM service is designed to enable the prompt transfer of medication information, with referrals made by hospitals at discharge to a named community pharmacy. This study aimed to explore the utilisation and impact of the TCAM service on medication safety.

METHODS

The evaluation included a descriptive analysis of 3033 anonymised patient referrals to 71 community pharmacies over a 1-year period alongside an assessment of the impact of the TCAM service on unintentional medication discrepancies and adverse drug events using a retrospective before-and-after study design. Impact data were collected across 18 general practices by 16 trained clinical pharmacists.

RESULTS

Most patient referrals (70%, 2126/3033) were marked as 'completed' by community pharmacies, with 15% of completed referrals delayed beyond 30 days. Screening of 411 patient records by clinical pharmacists yielded no statistically significant difference in unintentional medication discrepancies or adverse drug event rates following TCAM implementation using a multivariable regression analysis (unintentional medication discrepancies adjusted odds ratio = 0.79 [95% confidence interval 0.44-1.44, p = 0.46]; and adverse drug events adjusted odds ratio = 1.19 [95% confidence interval 0.57-2.45, p = 0.63]), although there remained considerable uncertainty.

CONCLUSIONS

The TCAM service facilitated a number of community pharmacy services offered to patients with monitored dosage systems; but the impact of the intervention on unintentional medication discrepancies and adverse drug event rates post-hospital discharge for this patient group was uncertain. The results of this exploratory study can inform the ongoing implementation of the TCAM service at hospital discharge and highlight the need to understand service implementation in different contexts, which may influence its impact on medication safety.

Heart Failure: Priorities for Transition to Home

Nurses play a key role in promoting successful transitions of patients with heart failure (HF) from the hospital to the ambulatory setting. Engaging patients and caregivers in discharge teaching early in the hospitalization can enhance their understanding of HF as a clinical syndrome and identify precipitants of decompensation. Effective transitional care interventions for patient with HF include a phone call within 48 to 72 hours and a follow-up appointment within 7 days. Early symptom identification and treatment are key aspects of HF care to improve quality of life and minimize risk of hospitalization.

Applicability of drug-related problem (DRP) classification system for classifying severe medication errors

BACKGROUND

Several classification systems for medication errors (MEs) have been established over time, but none of them apply optimally for classifying severe MEs. In severe MEs, recognizing the causes of the error is essential for error prevention and risk management. Therefore, this study focuses on exploring the applicability of a cause-based DRP classification system for classifying severe MEs and their causes.

METHODS

This was a retrospective document analysis study on medication-related complaints and authoritative statements investigated by the Finnish National Supervisory Authority for Welfare and Health (Valvira) in 2013-2017. The data was classified by applying a previously developed aggregated DRP classification system by Basger et al. Error setting and harm to the patient were identified using qualitative content analysis to describe the characteristics of the MEs in the data. The systems approach to human error, error prevention, and risk management was used as a theoretical framework.

RESULTS

Fifty-eight of the complaints and authoritative statements concerned MEs, which had occurred in a wide range of social and healthcare settings. More than half of the ME cases (52%, n = 30) had caused the patient's death or severe harm. In total, 100 MEs were identified from the ME case reports. In 53% (n = 31) of the cases, more than one ME was identified, and the mean number of MEs identified was 1.7 per case. It was possible to classify all MEs according to aggregated DRP system, and only a small proportion (8%, n = 8) were classified in the category "Other," indicating that the cause of the ME could not be classified to specific cause-based category. MEs in the "Other" category included dispensing errors, documenting errors, prescribing error, and a near miss.

CONCLUSIONS

Our study provides promising preliminary results for using DRP classification system for classifying and analyzing especially severe MEs. With Basger et al.'s aggregated DRP classification system, we were able to categorize both the ME and its cause. More research is encouraged with other ME incident data from different reporting systems to confirm our results.

Obtaining medication histories via telepharmacy: an observational study

BACKGROUND

Medication reconciliation is an effective strategy to reduce medication errors upon hospital admission. The process involves obtaining a best possible medication history (BPMH), which can be both time-consuming and resource-intensive. During the COVID-19 pandemic, telepharmacy was used to reduce the risk of viral transmission. Telepharmacy is the remote provision of pharmacy-led clinical services, such as obtaining BPMHs, using telecommunications. However, the accuracy of telephone-obtained BPMHs has not yet been evaluated. Therefore, the primary aim of this study was to evaluate the proportion of patients who have an accurate BPMH from the telephone-obtained BPMH compared to an in-person obtained BPMH.

METHODS

This prospective, observational study took place in a large tertiary hospital. Recruited patients or carers had their BPMH obtained by a pharmacist over the telephone. The same patients or carers then had their BPMH conducted in-person to identify any deviations between the telephone-obtained and in-person obtained BPMH. All telephone-obtained BPMHs were timed with a stopwatch. Any deviations were categorised according to their potential consequence. An accurate BPMH was defined as having no deviations. Descriptive statistics were used to report all quantitative variables. A multivariable logistic regression was conducted to identify risk factors for patients and medications for having medication deviations.

RESULTS

In total, 116 patients were recruited to receive both a telephone-obtained and in-person obtained BPMH. Of these, 91 patients (78%) had an accurate BPMH with no deviations. Of the 1104 medications documented across all the BPMHs, 1064 (96%) had no deviation. Of the 40 (4%) medication deviations, 38 were deemed low-risk (3%) and 2 high-risk (1%). A patient was more likely to have a deviation if they are taking more medications (aOR: 1.11; 95% CI: 1.01-1.22; p < 0.05). A medication was more likely to have a deviation if it was regular non-prescription medication (aOR: 4.82; 95% CI: 2.14-10.82; p < 0.001) or 'when required' non-prescription medication (aOR: 3.12; 95% CI: 1.20-8.11; p = 0.02) or a topical medication (aOR: 12.53; 95% CI: 4.34-42.17; p < 0.001).

CONCLUSIONS

Telepharmacy represents a reliable and time-efficient alternative to in-person BPMHs.

Accuracy of best possible medication histories by pharmacy students: an observational study

BACKGROUND

Medication reconciliation is an effective strategy to prevent medication errors upon hospital admission and requires obtaining a patient's best possible mediation history (BPMH). However, obtaining a BPMH is time-consuming and pharmacy students may assist pharmacists in this task.

AIM

To evaluate the proportion of patients who have an accurate BPMH from the pharmacy student-obtained BPMH compared to the pharmacist-obtained BPMH.

METHOD

Twelve final-year pharmacy students were trained to obtain BPMHs upon admission at 2 tertiary hospitals and worked in pairs. Each student pair completed one 8-h shift each week for 8 weeks. Students obtained BPMHs for patients taking 5 or more medications. A pharmacist then independently obtained and checked the student BPMH from the same patient for accuracy. Deviations were determined between student-obtained and pharmacist-obtained BMPH. An accurate BPMH was defined as only having no-or-low risk medication deviations.

RESULTS

The pharmacy students took BPMHs for 91 patients. Of these, 65 patients (71.4%) had an accurate BPMH. Of the 1170 medications included in patients' BPMH, 1118 (95.6%) were deemed accurate. For the student-obtained BPMHs, they were more likely to be accurate for patients who were older (OR 1.04; 95% CI 1.03-1.06; p < 0.001), had fewer medications (OR 0.85; 95% CI 0.75-0.97; p = 0.02), and if students used two source types (administration and supplier) to obtain the BPMH (OR 1.65; 95% CI 1.09-2.50; p = 0.02).

CONCLUSION

It is suitable for final-year pharmacy students to be incorporated into the BPMHs process and for their BPMHs to be verified for accuracy by a pharmacist.

Animated video development COVID-19 prevention and management for anxiety among older adults in Indonesia

BACKGROUND

Rapid increase in information on coronavirus disease (COVID-19) has led to an infodemic that exposes older adults to a greater risk of anxiety.

AIMS

To develop an animated educational video for COVID-19 prevention and management and evaluate its feasibility and preliminary effectiveness in improving knowledge and anxiety levels among older adults.

METHODS

A pilot test of feasibility and preliminary effectiveness was conducted in three phases: expert agreement, content validation, and video creation. An intervention group received an animated educational video, whereas a control group received an educational leaflet. A total of 126 respondents were recruited from 15 community health centers in Indonesia.

RESULTS

Results showed that knowledge of intervention group respondents about COVID-19 misinformation improved, and anxiety levels significantly decreased after watching the video compared to the control group (p<0.001).

CONCLUSIONS

The animated educational video on COVID-19 prevention and management based on Indonesian preferences successfully improved knowledge and reduced anxiety levels among older adults.

Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation

Background

Medication reconciliation (MedRec) is a widely accepted tool for the identification and resolution of unintended medication discrepancies (UMD).

Objective

This study aimed at assessing the magnitude and associated factors of UMD identified through medication reconciliation upon patient admission to the internal medicine wards.

Methods

Prospective cross-sectional study was conducted at the internal medicine wards of Felege Hiwot and Tibebe Ghion comprehensive specialized hospitals in Bahir Dar city, Northwest Ethiopia, from May 01 to July 30, 2021. Data were collected by using a data abstraction format prepared based on standard MedRec tools and previous studies on medication discrepancy. Pharmacists-led MedRec was made by following the WHO High5s “retroactive medication reconciliation model”. SPSS® (IBM Corporation) version 25.0 was used to analyze the data with descriptive and inferential statistics. A binary logistic regression analysis was used to identify factors associated with UMD. A statistical significance was declared at a p-value < 0.05.

Results

Among 635 adult patients, 248 (39.1%) of them had at least one UMD. The most frequent types of UMDs were omission (41.75%) and wrong dose (21.9%). The majority (75.3%) of pharmacists’ interventions were accepted. Polypharmacy at admission (p-value < 0.001), age ≥ 65 (p-value = 0.001), a unit increase on the number of comorbidities (p-value = 0.008) and information sources used for MedRec (p-value < 0.001), and medium (p-value = 0.019) and low adherence (p-value < 0.001) were significantly associated with UMD.

Conclusion

The magnitude of UMD upon patient admission to the internal medicine wards was considerably high. Omission and the wrong dose of medication were common. Older age, polypharmacy, low and medium adherence, and an increase in the number of comorbidities and information sources used for MedRec are significantly associated with UMDs. Pharmacists' interventions were mostly acceptable. Thus, the implementation of pharmacists-led MedRec in the two hospitals is indispensable for patient safety.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08628-5.

Risk factors for clinically relevant deviations in patients' medication lists reported by patients in personal health records: a prospective cohort study in a hospital setting

Background Personal health records have the potential to identify medication discrepancies. Although they facilitate patient empowerment and broad implementation of medication reconciliation, more medication discrepancies are identified through medication reconciliation performed by healthcare professionals. Aim We aimed to identify the factors associated with the occurrence of a clinically relevant deviation in a patient’s medication list based on a personal health record (used by patients) compared to medication reconciliation performed by a healthcare professional. Method Three- to 14 days prior to a planned admission to the Cardiology-, Internal Medicine- or Neurology Departments, at Amphia Hospital, Breda, the Netherlands, patients were invited to update their medication file in their personal health records. At admission, medication reconciliation was performed by a pharmacy technician. Deviations were determined as differences between these medication lists. Associations between patient-, setting-, and medication-related factors, and the occurrence of a clinically relevant deviation (National Coordinating Council for Medication Error Reporting and Prevention class \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ge$$\end{document}≥ E) were analysed. Results Of the 488 patients approached, 155 patients were included. Twenty-four clinically relevant deviations were observed. Younger patients (adjusted odds ratio (aOR) 0.94; 95%CI:0.91–0.98), patients who used individual multi-dose packaging (aOR 14.87; 95%CI:2.02–110), and patients who used \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ge$$\end{document}≥ 8 different medications, were at highest risk for the occurrence of a clinically relevant deviation (sensitivity 0.71; specificity 0.62; area under the curve 0.64 95%CI:0.52–0.76). Conclusion Medication reconciliation is the preferred method to identify medication discrepancies for patients with individual multi-dose packaging, and patients who used eight or more different medications.

Development and implementation of a medication reconciliation during pediatric transitions of care in a public hospital

OBJECTIVES

To generate effective changes in the work processes of an institution, such as hospitals, strategies are needed for the implementation of services. These should be based on the needs of the practice scenario and evidence that may develop programs applied to the routine of health care. This study aimed to implement medication reconciliation (MR) at the transition of care in the pediatric department of a public hospital located in Northeast Brazil.

SETTING

A step-by-step approach was adopted to implement MR in the studied hospital and conducted from March 2019 to December 2019.

PRACTICE INNOVATION

The implementation of MR used the "Model for Improvement" framework. The processes were built and tested in the Plan-Do-Study-Act (PDSA) cycles. Children admitted to the hospital's pediatrics department were included in the study. The objective of the PDSA cycles was to reach 75% of the patients included, with the service performed in at least one transition of care episode.

EVALUATION

This study used the following indicators: number of steps performed, number of discrepancies identified, and resolution of discrepancies. Descriptive statistical analysis was performed for all variables.

RESULTS

In the first cycle, all patients (n = 34) had the best possible medication history (BPMH) completed, and 26.4% went through all the MR stages. Seventy-two discrepancies were identified and 90.3% of them were resolved. In the second cycle, all patients (n = 35) had the BPMH completed, and 20% went through all the stages. A total of 32 discrepancies were identified and 96.8% of them were resolved. In the third cycle, all patients (n = 30) had the BPMH completed, and 56.6% of patients went through all the stages. Twenty-four discrepancies were identified and resolved.

CONCLUSION

The use of the "Model for Improvement" framework effectively contributed to the implementation of the service according to the characteristics of the studied hospital.

Pharmacy student-assisted medication reconciliation: Number and types of medication discrepancies identified by pharmacy students

Background

Medication reconciliation aims to prevent unintentional medication discrepancies that can result in patient harm at transitions of care. Pharmacist-led medication reconciliation has clear benefits, however workforce limitations can be a barrier to providing this service. Pharmacy students are a potential workforce solution.

Objective

To evaluate the number and type of medication discrepancies identified by pharmacy students.

Methods

Fourth year pharmacy students completed best possible medication histories and identified discrepancies with prescribed medications for patients admitted to hospital. A retrospective audit was conducted to determine the number and type of medication discrepancies identified by pharmacy students, types of patients and medicines involved in discrepancies.

Results

There were 294 patients included in the study. Overall, 72% (n=212/294) had medication discrepancies, the most common type being drug omission. A total of 645 discrepancies were identified, which was a median of three per patient. Patients with discrepancies were older than patients without discrepancies with a median (IQR) age of 74 (65-84) vs 68 (53-77) years (p=0.001). They also took more medicines with a median (IQR) number of 9 (6-3) vs 7 (2-10) medicines per patient (p<0.001). The most common types of medicines involved were those related to the alimentary tract and cardiovascular system.

Conclusions

Pharmacy students identified medication discrepancies in over 70% of hospital inpatients, categorised primarily as drug omission. Pharmacy students can provide a beneficial service to the hospital and contribute to improved patient safety by assisting pharmacists with medication reconciliation.

Medication discrepancies in transition of care of hospitalised children in Brazil: a multicentric study

OBJECTIVE

To determine the incidence of medication discrepancies in transition points of care of hospitalised children.

DESIGN

A prospective observational multicentre study was carried out between February and August 2019. Data collection consisted of the following steps: sociodemographic data collection, clinical interview with the patient's caregiver, review of patient prescriptions and evaluation of medical records. Medication discrepancies were classified as intentional (documented or undocumented) and unintentional. In addition, discrepancies identified were categorised according to the medication discrepancy taxonomy. Unintentional discrepancies were assessed for potential clinical harm to the patient.

SETTING

Paediatric clinics of four teaching hospitals in Brazil.

PATIENTS

Children aged 1 month-12 years.

FINDINGS

A total of 248 children were included, 77.0% (n=191) patients had at least one intentional discrepancy; 20.2% (n=50) patients had at least one unintended discrepancy and 15.3% (n=38) patients had at least one intentional discrepancy and an unintentional one. The reason for the intentional discrepancy was not documented in 49.6% (n=476) of the cases. The most frequent unintentional discrepancy was medication omission (54.1%; n=66). Low potential to cause discomfort was found in 53 (43.4%) unintentional discrepancies, while 55 (45.1%) had the potential to cause moderate discomfort and 14 (11.5%) could potentially cause severe discomfort.

CONCLUSIONS

Although most medication discrepancies were intentional, the majority of these were not documented by the healthcare professionals. Unintentional discrepancies were often related to medication omission and had a potential risk of causing harm to hospitalised children.

Interdisciplinary Physician-Pharmacist Medication Review for Outpatients With Heart Failure: A Subanalysis of the PHARM-CHF Randomized Controlled Trial

Aims: Patients with chronic heart failure (CHF) require polypharmacy and are at increased risk for drug-related problems. Interdisciplinary physician-pharmacist medication review may improve drug treatment. Our goal was to analyze the changes from the physician-documented medication plan (MP) and patient-stated medication to an interdisciplinary consolidated MP (CMP).

Methods: This pre-specified subanalysis of the PHARM-CHF randomized controlled trial analyzed the medication review of CHF patients in the pharmacy care group. Community pharmacists compared the MP with the drug regimen stated by the patient and consulted with physicians on identified discrepancies and other medication-related problems resulting in a CMP.

Results: We analyzed 93 patients (mean 74.0 ± 6.6 years, 37.6% female), taking a median of ten (IQR 8–13) drugs. 80.6% of patients had at least one change from MP to CMP. We identified changes in 32.7% (303/926) of drugs. The most common correction was the addition of a drug not documented in the MP to the CMP (43.2%). We also determined frequent modifications in the dosing regimens (37.6%). The omission of a drug documented in the MP but left out of the CMP accounted for 19.1%. Comparing patient-stated medication to CMP, the current drug regimen of patients was changed in 22.4% of drugs.

Conclusion: The medication review resulted in changes of medication between MP and CMP in most of the patients and affected one-third of drugs. Structured physician-pharmacist interdisciplinary care is able to harmonize and optimize the drug treatment of CHF patients.

Older patient and family discharge medication communication: A mixed-methods study

RATIONALE, AIMS, AND OBJECTIVES

Medication discrepancies place patients discharged from hospital at risk of adverse medication events. Patient and family participation in medication communication may improve medication safety. This study aimed to examine older medical patient and family participation in discharge medication communication.

METHODS

Two-phased mixed-methods study. Data were collected from July 2018 to May 2019. Phase 1 comprised observations and a questionnaire of 30 patients pre-hospital discharge. Phase 2 involved telephone interviews with 11 patients and family members post-hospital discharge. Phase 1 analysis included descriptive statistics and deductive content analysis. Inductive content analysis was used in Phase 2. Phase 1 and 2 findings were integrated.

RESULTS

For Phase 1, observational data were deductively coded against the "continuum of patient participation"; information-giving was the most frequent level of participation observed on the continuum, followed by information-seeking, shared decision making, non-involved, and finally autonomous decision making. For descriptive statistics, written communication tools, noise, and interruptions were frequently observed during medication communication. In Phase 2, three categories were found about how patients and families participate, and the factors influencing their participation: (a) obtaining comprehensive medication information; (b) preferred approaches for receiving information; and (c) speaking about medications in hospital. Integrated findings showed that written communication tools and routine hospital tasks may promote, while lack of family presence and environmental factors may hinder medication communication. Patients' and families' role in medication communication ranged from asking questions to influencing decisions, and was enhanced by health care professionals' patient-centred communication.

CONCLUSIONS

More active patient and family participation could be achieved by encouraging them to identify medication-related problems. To create a climate for patient and family participation, health care professionals should use written communication tools, capitalize on participation opportunities during routine hospital tasks, and use patient-centred communication.

A comparison between medication reconciliation by a pharmacy technician and the use of an online personal health record by patients for identifying medication discrepancies in patients' drug lists prior to elective admissions

AIM

Medication discrepancies (MDs), defined as unexplained differences among medication regimens, cause important public health problems with clinical and economic consequences. Medication reconciliation (MR) reduces the risk of MDs, but is time consuming and its success relies on the quality of different information sources. Online personalized health records (PHRs) may overcome these drawbacks. Therefore, the aim of this study is to determine the level of agreement of identified MDs between traditional MR and an online PHR and the correctness of the identified MDs with a PHR.

METHODS

A prospective cohort study was conducted at the cardiology, neurology, internal medicine and pulmonary department of the Amphia Hospital, the Netherlands. Two weeks prior to a planned admission all patients received an invitation from a PHR to update their medication file derived from the Nationwide Medication Record System (NMRS). At admission MR was performed with all by a pharmacy technician, who created the best possible medication history (BPMH) based on the NMRS data and an interview. MDs were determined as discrepancies between the available information from the NMRS and the input and alterations patients or pharmacy technician made. The number, correctness of patients' alterations, type and severity of identified MDs were analysed.

RESULTS

Of 488 patients approached, 155 (31.8 %) patients who both used the PHR and had received MR were included. The mean number of MDs identified with MR and PHR was 6.2 (SD 4.3) and 4.7 (SD 3.7), respectively. 82.1 % of the drug information noted by the patient in the PHR was correct compared to the BPMH and 98.6 % had no clinically relevant differences between the lists.

CONCLUSION

Patients who used an online PHR can relatively accurately record a list of their medication. Further research is required to explore the level of agreement and the correctness of a PHR in other (larger) hospital(departments).

Prevalence of medication discrepancies in pediatric patients transferred between hospital wards

Background Children are more susceptible to harm from medication errors and adverse drug reactions when compared to adults. Such events may occur from medication discrepancies while transitioning patients throughout the healthcare system. Contributing factors include medication discontinuity and lack of information by the healthcare team. Objective To analyze the prevalence of medication discrepancies in transition points of care in a pediatric department. Setting Pediatric department of a public hospital in Northeast Brazil. Method A cross-sectional study was carried out from August 2017 to March 2018. Data collection consisted of the following steps: collection of sociodemographic data, clinical interview with the patient's caregiver, registration of patient prescriptions, and evaluation of medical records. Medication discrepancies were classified as intentional and unintentional. The unintentional medication discrepancies were classified as omission of medication, therapeutic duplicity, and differences in dose, frequency, or route of administration. Main outcomes measure Discrepancy profile identified at admission, internal transfer and hospital discharge. Results Among the 114 patients included in the study, 85 (74.5%) patients had at least one unintentional medication discrepancy, of which 16 (14.0%) patients presented medication discrepancies at hospital admission, 42 (36.8%) patients at internal transfer, and 52 (45.6%) patients during discharge. Omission of medication represented 20 (74.1%) errors at admission, 26 (37.7%) errors at internal transfer, and 80 (100.0%) errors at hospital discharge. Conclusions The main transition points of care where unintentional discrepancies occurred in the studied pediatric department were at internal transfer and hospital discharge, with omission being the most common type of unintentional discrepancy.

Medication Discrepancies in Community Pharmacies in Switzerland: Identification, Classification, and Their Potential Clinical and Economic Impact

Background: Transitions of care are high-risk situations for the manifestation of medication discrepancies and, therefore, present threats for potential patient harm. Medication discrepancies can occur at any transition within the healthcare system. Methods: Fifth-year pharmacy students assessed a best possible medication list (BPML) during a medication review (based on medication history and patient interview) in community pharmacies. They documented all discrepancies between the BPML and the latest medication prescription. Discrepancies were classified using the medication discrepancy taxonomy (MedTax) classification system and were assessed for their potential clinical and economic impact. Results: Overall, 116 patients with a mean age and medication prescription of 74 (± 10.3) years and 10.2 (± 4.2), respectively, were analyzed. Of the 317 discrepancies identified, the most frequent type was related to strength and/or frequency and/or number of units of dosage form and/or the total daily dose. Although, the majority of discrepancies were rated as inconsequential (55.2%) on health conditions, the remainder posed a potential moderate (43.2%) or severe impact (1.6%). In 49.5% of the discrepancies, the current patients’ medication cost less than the prescribed. Conclusion: Community pharmacies are at a favorable place to identify discrepancies and to counsel patients. To improve patient care, they should systematically perform medication reconciliation whenever prescriptions are renewed or added.

Medication errors and adverse drug events in a UK hospital during the optimisation of electronic prescriptions: a prospective observational study

BACKGROUND

WHO's Third Global Patient Safety Challenge, Medication Without Harm, focused on reducing the substantial burden of iatrogenic harm associated with medications by 50% in the next 5 years. We aimed to assess whether the number and type of medication errors changed as an electronic prescribing system was optimised over time in a UK hospital.

METHODS

We did a prospective observational study at a tertiary-care teaching hospital. Eight senior clinical pharmacists reviewed patients' records and collected data across four adult wards (renal, cardiology, general medical, and orthopaedic surgical) over a 2-year period (from Sept 29, 2014, to June 9, 2016). All medication errors and potential and actual adverse drug events were documented and the number of medication errors measured over the course of four time periods 7-10 weeks long. Pharmacists also recorded instances where the electronic prescribing system contributed to an error (system-related errors). A negative-binomial model and a Poisson model were used to identify factors related to medication error rates.

FINDINGS

5796 primary errors were recorded over the four time periods (period 1, 47 days [Sep 29-Dec 2, 2014]; period 2, 38 days [April 20-June 12, 2015, for the renal, medical, and surgical wards and April 20-June 15, 2015, for the cardiology ward]; period 3, 35 days [Sep 28-Nov 27, 2015] for the renal ward, 37 days [Sep 28-Nov 23, 2015] for the medical ward, and 40 days [Sep 28-Nov 20, 2015] for the cardiology and surgical wards; and period 4, 37 days [Feb 22-April 15, 2015] for the renal and medical wards and 39 days for the cardiology [April 13-June 7, 2015] and surgery [April 18-June 9, 2015] wards; unanticipated organisational factors prevented data collection on some days during each time period). There was no change in the rate of primary medication errors per admission over the observation periods: 1·53 medication errors in period 1, 1·44 medication errors in period 2, 1·70 medication errors in period 3, and 1·43 medication errors in period 4, per admission. By contrast, the overall rate of different types of medication errors decreased over the four periods. The most common types of error were medicine-reconciliation, dose, and avoidable delay-of-treatment errors. Some types of errors appeared to reduce over time (eg, dose errors [from 52 errors in period 1 to 19 errors in period 4, per 100 admissions]), whereas others increased (eg, inadequate follow-up of therapy [from 12 errors in period 1 to 24 errors in period 4, per 100 admissions]). We also found a reduction in the rates of potential adverse drug events between the first three periods and period 4. 436 system-related errors were recorded over the study period.

INTERPRETATION

Although the overall rates of primary medication errors per admission did not change, we found a reduction in some error types and a significant decrease in the rates of potential adverse drug events over a 2-year period, during which system optimisation occurred. Targeting some error types could have the added benefit of reducing others, which suggests that system optimisation could ultimately help improve patient safety and outcomes.

FUNDING

No funding.