Impact of computerized physician order entry on medication errors

Need for implementation of safe medication practice to avoid medication errors - A journey through case series

Patient safety is seriously threatened by medication errors. Pharmacological therapy aims to accomplish particular therapeutic objectives that improve patient quality of life while reducing patient risk. To develop a clear plan for minimizing medication errors and establishing safe and effective medication practices, the study's major goal is to identify the key locations at which medication errors usually occur. The five scenarios presented here demonstrate the frequent errors that took place, including communication problems, technical errors, rule-based errors, and knowledge-based errors. Patients' quality of life must be improved by educating both patients and healthcare workers on safe medication practices. This involves monitoring for and recognizing errors, reporting them in a blame-free environment, analyzing their root causes, changing procedures on the lessons learned, and ongoing monitoring.

Impact of an electronic health record transition on chemotherapy error reporting

BACKGROUND

Incident reporting systems allow for frontline employees to report errors and are a critical component of healthcare patient safety programs. Although incident reporting systems cannot quantify total errors, organizations can utilize incident reporting systems to help identify risks and trends to act upon. The objective of this article is to utilize incident reporting systems to evaluate trends in medication error reporting before and after implementation of a new electronic health record system.

METHODS

A five-month pre- and post-analysis was completed in a cancer hospital following electronic health record conversion by reviewing medication errors reported via the institution's voluntary incident reporting systems. Error reports included medication error category, date error was reported/occurred, patient location at time of error, harm severity score, medication(s) involved, medication use system node error originated/discovered in, medication source, narrative summary, and contributing factors. Data were analyzed using descriptive statistics within Office Excel.

RESULTS

Oncology medication error reports submitted pre- and post-electronic health record were 68 vs. 57, respectively. During the pre- and post-electronic health record conversion, a majority of errors had a harm severity index of 0 or 1; 12 (18%) in pre-electronic health record and 3 (5%) in post-electronic health record were level 2, and one (1%) in pre-electronic health record vs. 0 in post-electronic health record were level 3. Reported medication errors originated most commonly during the prescribing, administration, and preparation/dispensing phase and were primarily identified in the administration phase of the medication use process. The most frequently reported error category was 'wrong dose' followed by 'other' and 'overdose' in the pre-electronic health record phase and 'missing dose/delayed delivery' and 'order incorrect' in the post-electronic health record phase. The most frequently reported medications included methotrexate, chemotherapy (unspecified), and cisplatin.

CONCLUSION

Analyzing data from incident reporting system reports allowed our institution to understand different trends of reporting in the cancer hospital following electronic health record adoption. Utilization of incident reporting systems must be combined with proactive risk identification approaches to enable systems-focused improvements to improve patient safety.

Incidence, causes, and consequences of preventable adverse drug reactions occurring in inpatients: A systematic review of systematic reviews

BACKGROUND

Preventable adverse drug reactions (PADRs) in inpatients are associated with harm, including increased length of stay and potential loss of life, and result in elevated costs of care. We conducted an overview of reviews (i.e., a systematic review of systematic reviews) to determine the incidence of PADRs experienced by inpatients. Secondary review objectives were related to assessment of the effects of patient age, setting, and clinical specialty on PADR incidence.

METHODS

The protocol was registered in PROSPERO (CRD42016043220). We performed a search of Medline, Embase, and the Cochrane Library, limiting languages of publication to English and French. We included published systematic reviews that reported quantitative data on the incidence of PADRs in patients receiving acute or ambulatory care in a hospital setting. The full texts of all primary studies for which PADR data were reported in the included reviews were obtained and data relevant to review objectives were extracted. Quality of the included reviews was assessed using the AMSTAR-2 tool. Both narrative summaries of findings and meta-analyses of primary study data were undertaken.

RESULTS

Thirteen systematic reviews encompassing 37 unique primary studies were included. Across primary studies, the PADR incidence was highly varied, ranging from 0.006 to 13.3 PADRs per 100 patients, with a pooled incidence estimate of 0.59 PADRs per 100 patients. Substantial heterogeneity was present across both reviews and primary studies with respect to review/study objectives, patient age, hospital setting, medical discipline, definitions and assessment tools used, event detection methods, endpoints of interest, and units of measure. Thirteen primary studies used prospective event detection methods and had a pooled PADR incidence of 3.13 (2.87-3.38) PADRs per 100 patients; however, extreme statistical heterogeneity (I2 = 97%) indicated this finding should be considered with caution. Subgroup meta-analyses demonstrated that PADR incidence varied significantly with event detection method (prospective > retrospective > voluntary reporting methods), hospital setting (ICU > wards), and medical discipline (medical > surgical). High statistical heterogeneity (I2 > 80%) was present across all analyses, indicating results should be interpreted with caution. Effects of patient age could not be assessed due to poor reporting of age groups used in primary studies.

DISCUSSION

The method of event detection appeared to significantly influence PADR incidence, with prospective methods having the highest reported PADR rate. This finding is in agreement with the background literature. High methodological and statistical heterogeneity across primary studies evaluating adverse drug events reduces the validity of the overall PADR incidence derived from the meta-analyses of the pooled data. Data pooled from studies using only prospective methods of event detection should provide an overall estimate closest to the true PADR incidence; however, our estimate should be considered with caution due to the statistical heterogeneity found in this group of studies. Future studies should employ prospective methods of detection. This review demonstrates that the true overall incidence of PADRs is likely much greater than the overall pooled incidence estimate of 0.59 PADRs per 100 patients obtained when event detection method was not taken into consideration.

Risk factors for medication errors in the electronic and manual prescription

Objective:

to compare electronic and manual prescriptions of a public hospital of Brasilia, identifying risk factors for the occurrence of medication errors.

Method:

descriptive-exploratory, comparative and retrospective study. Data collection occurred from July 2012 to January 2013, using an instrument for the review of the information contained in medical records related to the medication process. A total of 190 manual and 199 electronic records composed the sample, with 2027 prescriptions each.

Results:

compared to the manual prescription, a significant reduction was observed in the risk factors after implantation of the electronic prescription, in items such as "lack of the form of dilution" (71.1% to 22.3%) and "prescription with brand name" (99.5% to 31.5%). Conversely, the risk factors "no check" and "lack of CRM of the prescriber" increased. The lack of the allergy registration and the occurrences related to medication were the same for both groups.

Conclusion:

generally, the use of the electronic prescription system was associated with a significant reduction in risk factors for medication errors, concerning the following aspects: illegibility, prescription with brand name and presence of essential items that provide a safe and effective prescription.

Does electronic medication reconciliation at hospital discharge decrease prescription medication errors?

PURPOSE

Medication errors are an important patient safety issue. Electronic medication reconciliation is a system designed to correct medication discrepancies at transitions in healthcare. The purpose of this paper is to measure types and prevalence of intravenous antibiotic errors at hospital discharge before and after the addition of an electronic discharge medication reconciliation tool (EDMRT).

DESIGN/METHODOLOGY/APPROACH

A retrospective study was conducted at a tertiary hospital where house officers order discharge medications. In total, 100 pre-EDMRT and 100 post-EDMRT subjects were randomly recruited from the study center's clinical Outpatient Parenteral Antimicrobial Therapy (OPAT) program. Using infectious disease consultant recommendations as gold standard, each antibiotic listed in these consultant notes was compared to the hospital discharge orders to ascertain the primary outcome: presence of an intravenous antibiotic error in the discharge orders. The primary covariate of interest was pre- vs post-EDMRT group. After generating the crude prevalence of antibiotic errors, logistic regression accounted for potential confounding: discharge day (weekend vs weekday), average years of practice by prescribing physician, inpatient service (medicine vs surgery) and number of discharge mediations per patient.

FINDINGS

Prevalence of medication errors decreased from 30 percent (30/100) among pre-EDMRT subjects to 15 percent (15/100) errors among post-EDMRT subjects. Dosage errors were the most common type of medication error. The adjusted odds ratio of discharge with intravenous antibiotic error in the post-EDMRT era was 0.39 (0.18, 0.87) compared to the pre-EDMRT era. In the adjusted model, the total number of discharge medications was associated with increased OR of discharge error.

ORIGINALITY/VALUE

To the authors' knowledge, no other study has examined the impact of reconciliation on types and prevalence of medication errors at hospital discharge. The focus on intravenous antibiotics as a class of high-stakes medications with serious risks to patient safety during error events highlights the clinical importance of the findings. Electronic medication reconciliation may be an important tool in efforts to improve patient safety.

Implementation of a Cloud-Based Electronic Medical Record to Reduce Gaps in the HIV Treatment Continuum in Rural Kenya

BACKGROUND

Electronic medical record (EMR) systems are increasingly being adopted to support the delivery of health care in developing countries and their implementation can help to strengthen pathways of care and close gaps in the HIV treatment cascade by improving access to and use of data to inform clinical and public health decision-making.

METHODS

This study implemented a novel cloud-based electronic medical record system in an HIV outpatient setting in Western Kenya and evaluated its impact on reducing gaps in the HIV treatment continuum including missing data and patient eligibility for ART. The impact of the system was assessed using a two-sample test of proportions pre- and post-implementation of EMR-based data verification and clinical decision support.

RESULTS

Significant improvements in data quality and provision of clinical care were recorded through implementation of the EMR system, helping to ensure patients who are eligible for HIV treatment receive it early. A total of 2,169 and 764 patient records had missing data pre-implementation and post-implementation of EMR-based data verification and clinical decision support respectively. A total of 1,346 patients were eligible for ART, but not yet started on ART, pre-implementation compared to 270 patients pre-implementation.

CONCLUSION

EMR-based data verification and clinical decision support can reduce gaps in HIV care, including missing data and eligibility for ART. A cloud-based model of EMR implementation removes the need for local clinic infrastructure and has the potential to enhance data sharing at different levels of health care to inform clinical and public health decision-making. A number of issues, including data management and patient confidentiality, must be considered but significant improvements in data quality and provision of clinical care are recorded through implementation of this EMR model.

The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis

BACKGROUND

The Health Information Technology for Economic and Clinical Health (HITECH) Act subsidizes implementation by hospitals of electronic health records with computerized provider order entry (CPOE), which may reduce patient injuries caused by medication errors (preventable adverse drug events, pADEs). Effects on pADEs have not been rigorously quantified, and effects on medication errors have been variable. The objectives of this analysis were to assess the effectiveness of CPOE at reducing pADEs in hospital-related settings, and examine reasons for heterogeneous effects on medication errors.

METHODS

Articles were identified using MEDLINE, Cochrane Library, Econlit, web-based databases, and bibliographies of previous systematic reviews (September 2013). Eligible studies compared CPOE with paper-order entry in acute care hospitals, and examined diverse pADEs or medication errors. Studies on children or with limited event-detection methods were excluded. Two investigators extracted data on events and factors potentially associated with effectiveness. We used random effects models to pool data.

RESULTS

Sixteen studies addressing medication errors met pooling criteria; six also addressed pADEs. Thirteen studies used pre-post designs. Compared with paper-order entry, CPOE was associated with half as many pADEs (pooled risk ratio (RR) = 0.47, 95% CI 0.31 to 0.71) and medication errors (RR = 0.46, 95% CI 0.35 to 0.60). Regarding reasons for heterogeneous effects on medication errors, five intervention factors and two contextual factors were sufficiently reported to support subgroup analyses or meta-regression. Differences between commercial versus homegrown systems, presence and sophistication of clinical decision support, hospital-wide versus limited implementation, and US versus non-US studies were not significant, nor was timing of publication. Higher baseline rates of medication errors predicted greater reductions (P < 0.001). Other context and implementation variables were seldom reported.

CONCLUSIONS

In hospital-related settings, implementing CPOE is associated with a greater than 50% decline in pADEs, although the studies used weak designs. Decreases in medication errors are similar and robust to variations in important aspects of intervention design and context. This suggests that CPOE implementation, as subsidized under the HITECH Act, may benefit public health. More detailed reporting of the context and process of implementation could shed light on factors associated with greater effectiveness.

Medication errors: classification of seriousness, type, and of medications involved in the reports from a university teaching hospital

Medication errors can be frequent in hospitals; these errors are multidisciplinary and occur at various stages of the drug therapy. The present study evaluated the seriousness, the type and the drugs involved in medication errors reported at the Hospital de Clínicas de Porto Alegre. We analyzed written error reports for 2010-2011. The sample consisted of 165 reports. The errors identified were classified according to seriousness, type and pharmacological class. 114 reports were categorized as actual errors (medication errors) and 51 reports were categorized as potential errors. There were more medication error reports in 2011 compared to 2010, but there was no significant change in the seriousness of the reports. The most common type of error was prescribing error (48.25%). Errors that occurred during the process of drug therapy sometimes generated additional medication errors. In 114 reports of medication errors identified, 122 drugs were cited. The reflection on medication errors, the possibility of harm resulting from these errors, and the methods for error identification and evaluation should include a broad perspective of the aspects involved in the occurrence of errors. Patient safety depends on the process of communication involving errors, on the proper recording of information, and on the monitoring itself.

[Effect of modal computer-based alerts on the prescription of valproic acid and meropenem]

OBJECTIVE

To analyze the effect of modal computer-based alerts on the concomitant prescription of valproic acid (VPA) and meropenem.

MATERIAL AND METHOD

Analytical intervention study conducted in a tertiary hospital for eleven months. Hospitalized patients with a diagnosis of epilepsy and treated with VPA and meropenem in concomitant therapy were included. In the computerized prescription order entry software an automatic non-modal alert was reconverted to a modal one. This was triggered when the physician introduced VPA and meropenem together in the same prescription. To measure the effect of this alert the prescription habits were compared with a previous period in which the alert was not modal.

RESULTS

Modal computer-based alert modified the prescription habit by reducing the number of patients with concomitant treatment from 13 to 4 (P=.046). However, it was notable that the number of requests for VPA serum levels decreased, and the average number of concomitant days of treatment rose from 4.7 to 8.75 in those patients in which none of the drugs was suspended.

CONCLUSIONS

The implementation of modal computer-based alerts reduces patient exposure to concomitant treatment with meropenem and VPA.

[Health personnel assessment about medical order entry systems of pharmacologic treatments in hospitalized patients]

OBJECTIVE

to evaluate health personnel perceptions about medical order entry systems concerning the effect on workflow, medication errors risk and assessment of its potential advantages.

MATERIAL AND METHODS

A cross-section opinion interview was conducted in a tertiary care hospital. Questionnaire consisted of three sections: perception of its effect on workflow, influence on medication error risk and assessment of potential advantages. We also asked them to assess drawbacks and provide suggestions about this prescription system.

RESULTS

76 health professionals were interviewed (58 physicians, 9 pharmacists and 9 nurses). They were satisfied mainly due to decrease the workload (85.5%; IC 95%: 75.58-92.55). They thought that the main characteristics that contribute to reduce medication errors are clinical decision supports related to predefined aspects which the program provided by default. Among potential benefits of medical order entry systems, legibility and warnings triggered by the program (98.7%; IC 95%: 92.90-99.97 and 97,4%; IC 95%: 90.81-99.68 respectively) were the most valuable. High technology dependence, IT failures and lack of infrastructure and medication therapy discontinuities at times of transition between different hospitals' units were the main drawbacks considered. The most repeated suggestion was related to the improvement of links between other health informatics applications used in the hospital.

CONCLUSION

health personnel were highly satisfied with the CPOE system, which is considered to be effective and safe. Technology dependence and IT failures were the main disadvantages reported. According to them, a greater coordination and unification of all software applications available in the hospital would be desirable.

[Process management in the hospital pharmacy for the improvement of the patient safety]

OBJECTIVES

To define a process management model for a hospital pharmacy in order to measure, analyse and make continuous improvements in patient safety and healthcare quality.

MATERIAL AND METHODS

In order to implement process management, Igualada Hospital was divided into different processes, one of which was the Hospital Pharmacy. A multidisciplinary management team was given responsibility for each process. For each sub-process one person was identified to be responsible, and a working group was formed under his/her leadership. With the help of each working group, a risk analysis using failure modes and effects analysis (FMEA) was performed, and the corresponding improvement actions were implemented. Sub-process indicators were also identified, and different process management mechanisms were introduced.

RESULTS

The first risk analysis with FMEA produced more than thirty preventive actions to improve patient safety. Later, the weekly analysis of errors, as well as the monthly analysis of key process indicators, permitted us to monitor process results and, as each sub-process manager participated in these meetings, also to assume accountability and responsibility, thus consolidating the culture of excellence.

CONCLUSIONS

The introduction of different process management mechanisms, with the participation of people responsible for each sub-process, introduces a participative management tool for the continuous improvement of patient safety and healthcare quality.