Reporting of near-miss events for transfusion medicine: improving transfusion safety

Near Miss Research in the Healthcare System: A Scoping Review

OBJECTIVES

The aim of this study was to depict a comprehensive description of near miss research and clarify research gaps.

BACKGROUND

Learning from near miss can provide early warnings and is critical for proactive and prospective risk management. Because of the lack of structured reviews, there is little knowledge about how near miss management has been managed in the past.

METHODS

This review was conducted following the Arksey and O'Malley's methodology and reported by the PRISMA Extension for Scoping Reviews.

RESULTS

Sixty-seven research articles were included. The results revealed that the most investigated fields include near miss reporting, near miss characteristics, and good catch project. Poor theoretical investigation, underreporting, and inconsistent outcome indicators are major problems.

CONCLUSIONS

Solely understanding causes of near misses cannot guarantee effective learning; we also need to apply appropriate learning theories. Advanced technologies should be applied to solve long-standing underreporting issues. Accurate and consistent indicators should be applied in near miss research and management.

Prospective audit of blood transfusion request forms and continuing medical education to optimise compliance of clinicians in a hospital setting

OBJECTIVES

The aim of this study was to analyse blood requisition forms sent by clinicians in a tertiary care hospital to the transfusion service to ascertain their completeness and correctness. A secondary objective was to study the effect of continuing medical education (CME) in a hospital setting on clinician's behaviour regarding the importance of details that ought to be mentioned on blood requisition forms.

BACKGROUND

Transfusion audits are useful tools in the evaluation and education of those requesting blood components.

METHODS/MATERIALS

This was a prospective, observational study conducted in the department of Transfusion Medicine at a tertiary-level healthcare centre from June 2019 to December 2019. The study was divided into two phases: pre-CME (P1) and post-CME (P2). In both phases, an audit for assessing completeness and correctness of blood requisition forms, which were divided into four sections, was performed. A scoring system was devised to compare both phases.

RESULTS

In the P1 phase, 45.77% of the blood requisition form entries were complete and correct; 23.45% of incomplete entries were generated by emergency and trauma. In the P2 phase, 76.75% of the blood requisition form entries were complete and correct; 35.09% of the incomplete entries were generated by obstetrics and gynaecology. Complete and correct entries increased from 45.7% (P1) to 76.75% (P2). Scores of P1 were found to be lower than scores of P2 for all four sections. Cumulative mean score for P1 (20687) was found to be significantly lower than the mean score for P2 (30870).

CONCLUSION

Audit and CME regarding different aspects of transfusion medicine practices play a major role in the improvement of transfusion practices in hospitals.

A novel approach to bedside pretransfusion identity check of blood and its components: the Sandesh Positive-Negative protocol

Background

Blood component mistransfusion is generally due to preventable clerical errors, specifically pretransfusion misidentification of patient/blood unit at bedside. Hence, electronic devices such as barcode scanners are recommended as the standard instrument used to check the patient’s identity. However, several healthcare facilities in underdeveloped countries cannot afford this instrument; hence, they usually perform subjective visual assessment to check the patient’s identity. This type of assessment is prone to clinical errors, which precipitates significant level of anxiety in the healthcare personnel transfusing the blood unit. Hence, a novel objective method in performing pretransfusion identity check, the ‘Sandesh Positive-Negative (SPON) protocol,’ was developed.

Methods

A nonrandomized study on bedside pretransfusion identity check was conducted, and 75 health care personnel performed transfusion. The intervention was performed by matching a custom-made negative label with blood component with the positive label of the same patient available at bedside who was about to receive transfusion.

Results

In total, 85.3% of the subjects were anxious while performing pretransfusion identity check based on the existing standard practice. After the implementation of the SPON protocol, only 38.7% experienced either mild, moderate or severe anxiety. The overall level of satisfaction also increased from 8.0% to 38.7% and none were dissatisfied. Although only 9.3% were dissatisfied about the existing practice, approximately 70.7% felt the need for a better/additional protocol. Clerical error was not observed.

Conclusions

The SPON protocol is a cost-effective objective method that reduces anxiety and increases satisfaction levels when performing final bedside identity check of blood components.

Can We Avoid Implant-selection Errors in Total Joint Arthroplasty?

BACKGROUND

Implant selection in the operating room is a manual process. This manual process combined with complex compatibility rules and inconsistent implant labeling may lead to implant-selection errors. These might be reduced using an automated process; however, little is known about the efficacy of available automated error-reduction systems in the operating room.

QUESTIONS/PURPOSES

(1) How often do implant-selection errors occur at a high-volume institution? (2) What types of implant-selection errors are most common?

METHODS

We retrospectively evaluated our implant log database of 22,847 primary THAs and TKAs to identify selection errors. There were 10,689 THAs and 12,167 TKAs included during the study period from 2012 to 2017; there were no exclusions and we had no missing data in this study. The system provided an output of errors identified, and these errors were then manually confirmed by reviewing implant logs for each case found in the medical records. Only those errors that were identified by the system were manually confirmed. During this time period all errors for all procedures were captured and presented as a proportion. Errors identified by the software were manually confirmed. We then categorized each mismatch to further delineate the nature of these events.

RESULTS

One hundred sixty-nine errors were identified by the software system just before implantation, representing 0.74 of the 22,847 procedures performed. In 15 procedures, the wrong side was selected. Twenty-five procedures had a femoral head selected that did not match the acetabular liner. In one procedure, the femoral head taper differed from the femoral stem taper. There were 46 procedures in which there was a size mismatch between the acetabular shell and the liner. The most common error in TKA that occurred in 46 procedures was a mismatch between the tibia polyethylene insert and the tibial tray. There were 13 procedures in which the tibial insert was not matched to the femoral component according to the manufacturer's guidelines. Selection errors were identified before implantation in all procedures.

CONCLUSIONS

Despite an automated verification process, 0.74% of the arthroplasties performed had an implant-selection error that was identified by the software verification. The prevalence of incorrect/mismatched hip and knee prostheses is unknown but almost certainly underreported. Future studies should investigate the prevalence of these errors in a multicenter evaluation with varying volumes across the involved sites. Based on our results, institutions and management should consider an automated verification process rather than a manual process to help decrease implant-selection errors in the operating room.

LEVEL OF EVIDENCE

Level IV, therapeutic study.

Blood Transfusion Practice among Healthcare Personnel in Nepal: An Observational Study

Background

The complications associated with errors in transfusion practice can be minimized by assessing transfusion practices. In Nepal, there is no standard protocol on blood transfusion. So, this study was conducted with an aim to assess the blood transfusion practice among healthcare personnel.

Methods

A descriptive observational study was conducted in two tertiary hospitals in Kathmandu, Nepal, over a period of 10 months. Bedside blood transfusion procedures were observed using structured checklist.

Results

Altogether, 86 observations were made. Time taken from dispatch from the blood bank to transfusion was >2 hours in 53.2% of cases. In majority of the cases, blood was kept in the ward in uncontrolled and unprotected manner by the patients' relatives. Only 8.2% of the patients and/or the relatives were informed about the reasons, associated probable risks (2.4%), and the benefits of transfusion (4.7%). Assessment of vital signs at 15 minutes of initiation of transfusion was done on about 2 to 4% of cases.

Conclusion

We found a suboptimal blood transfusion practice in Nepal, which could be attributable to substantial knowledge gap among healthcare personnel and the absence of quality culture, quality system, and quality management in the area of blood transfusion practices.

Using EHR Data to Detect Prescribing Errors in Rapidly Discontinued Medication Orders

BACKGROUND

Previous research developed a new method for locating prescribing errors in rapidly discontinued electronic medication orders. Although effective, the prospective design of that research hinders its feasibility for regular use.

OBJECTIVES

Our objectives were to assess a method to retrospectively detect prescribing errors, to characterize the identified errors, and to identify potential improvement opportunities.

METHODS

Electronically submitted medication orders from 28 randomly selected days that were discontinued within 120 minutes of submission were reviewed and categorized as most likely errors, nonerrors, or not enough information to determine status. Identified errors were evaluated by amount of time elapsed from original submission to discontinuation, error type, staff position, and potential clinical significance. Pearson's chi-square test was used to compare rates of errors across prescriber types.

RESULTS

In all, 147 errors were identified in 305 medication orders. The method was most effective for orders that were discontinued within 90 minutes. Duplicate orders were most common; physicians in training had the highest error rate (p < 0.001), and 24 errors were potentially clinically significant. None of the errors were voluntarily reported.

CONCLUSION

It is possible to identify prescribing errors in rapidly discontinued medication orders by using retrospective methods that do not require interrupting prescribers to discuss order details. Future research could validate our methods in different clinical settings. Regular use of this measure could help determine the causes of prescribing errors, track performance, and identify and evaluate interventions to improve prescribing systems and processes.

A Cross-sectional Analysis Investigating Organizational Factors That Influence Near-Miss Error Reporting Among Hospital Pharmacists

OBJECTIVE

Underreporting near-miss errors undermines hospitals' ability to improve patient safety. The objective of this analysis was to determine the extent to which punitive work climate, inadequate error feedback to staff, or insufficient preventative procedures are associated with decreased frequency of near-miss error reporting among hospital pharmacists.

METHODS

Survey data were obtained from the Agency of Healthcare Research and Quality 2010 Hospital Survey on Patient Safety Culture. Near-miss error reporting was defined using a Likert scale response to the question, "When a mistake is made, but is caught and corrected before affecting the patient, how often is this reported?" Work climate, error feedback to staff, and preventative procedures were defined similarly using responses to survey questions. Multivariate ordinal regressions estimated the likelihood of agreeing that near-miss errors were rarely reported, conditional upon perceived levels of punitive work climate, error feedback, or preventative procedures.

RESULTS

Pharmacists disagreeing that procedures were sufficient and that feedback on errors was adequate were more likely to report that near-miss errors were rarely reported (odds ratio [OR], 2.5; 95% confidence interval [CI], 1.7-3.8; OR, 3.5; 95% CI, 2.5-5.1). Those agreeing that mistakes were held against them were equally likely as those disagreeing to report that errors were rarely reported (OR, 0.84; 95% CI, 0.61-1.1).

CONCLUSIONS

Inadequate error feedback to staff and insufficient preventative procedures increase the likelihood that near-miss errors will be underreported. Hospitals seeking to improve near-miss error reporting should improve error-reporting infrastructures to enable feedback, which, in turn, would create a more preventative system that improves patient safety.

Improving patient safety through the involvement of patients: development and evaluation of novel interventions to engage patients in preventing patient safety incidents and protecting them against unintended harm

Background

Estimates suggest that, in NHS hospitals, incidents causing harm to patients occur in 10% of admissions, with costs to the NHS of > £2B. About one-third of harmful events are believed to be preventable. Strategies to reduce patient safety incidents (PSIs) have mostly focused on changing systems of care and professional behaviour, with the role that patients can play in enhancing the safety of care being relatively unexplored. However, although the role and effectiveness of patient involvement in safety initiatives is unclear, previous work has identified a general willingness among patients to contribute to initiatives to improve health-care safety.

Aim

Our aim in this programme was to design, develop and evaluate four innovative approaches to engage patients in preventing PSIs: assessing risk, reporting incidents, direct engagement in preventing harm and education and training.

Methods and results

We developed tools to report PSIs [patient incident reporting tool (PIRT)] and provide feedback on factors that might contribute to PSIs in the future [Patient Measure of Safety (PMOS)]. These were combined into a single instrument and evaluated in the Patient Reporting and Action for a Safe Environment (PRASE) intervention using a randomised design. Although take-up of the intervention by, and retention of, participating hospital wards was 100% and patient participation was high at 86%, compliance with the intervention, particularly the implementation of action plans, was poor. We found no significant effect of the intervention on outcomes at 6 or 12 months. The ThinkSAFE project involved the development and evaluation of an intervention to support patients to directly engage with health-care staff to enhance their safety through strategies such as checking their care and speaking up to staff if they had any concerns. The piloting of ThinkSAFE showed that the approach is feasible and acceptable to users and may have the potential to improve patient safety. We also developed a patient safety training programme for junior doctors based on patients who had experienced PSIs recounting their own stories. This approach was compared with traditional methods of patient safety teaching in a randomised controlled trial. The study showed that delivering patient safety training based on patient narratives is feasible and had an effect on emotional engagement and learning about communication. However, there was no effect on changing general attitudes to safety compared with the control.

Conclusion

This research programme has developed a number of novel interventions to engage patients in preventing PSIs and protecting them against unintended harm. In our evaluations of these interventions we have been unable to demonstrate any improvement in patient safety although this conclusion comes with a number of caveats, mainly about the difficulty of measuring patient safety outcomes. Reflecting this difficulty, one of our recommendations for future research is to develop reliable and valid measures to help efficiently evaluate safety improvement interventions. The programme found patients to be willing to codesign, coproduce and participate in initiatives to prevent PSIs and the approaches used were feasible and acceptable. These factors together with recent calls to strengthen the patient voice in health care could suggest that the tools and interventions from this programme would benefit from further development and evaluation.

Trial registration

Current Controlled Trials ISRCTN07689702.

Funding

The National Institute for Health Research Programme Grants for Applied Research programme.

How Effective Are Incident-Reporting Systems for Improving Patient Safety? A Systematic Literature Review

CONTEXT

Incident-reporting systems (IRSs) are used to gather information about patient safety incidents. Despite the financial burden they imply, however,little is known about their effectiveness. This article systematically reviews the effectiveness of IRSs as a method of improving patient safety through organizational learning.

METHODS

Our systematic literature review identified 2 groups of studies: (1)those comparing the effectiveness of IRSs with other methods of error reporting and (2) those examining the effectiveness of IRSs on settings, structures, and outcomes in regard to improving patient safety. We used thematic analysis to compare the effectiveness of IRSs with other methods and to synthesize what was effective, where, and why. Then, to assess the evidence concerning the ability of IRSs to facilitate organizational learning, we analyzed studies using the concepts of single-loop and double-loop learning.

FINDINGS

In total, we identified 43 studies, 8 that compared IRSs with other methods and 35 that explored the effectiveness of IRSs on settings, structures,and outcomes. We did not find strong evidence that IRSs performed better than other methods. We did find some evidence of single-loop learning, that is, changes to clinical settings or processes as a consequence of learning from IRSs, but little evidence of either improvements in outcomes or changes in the latent managerial factors involved in error production. In addition, there was insubstantial evidence of IRSs enabling double-loop learning, that is, a cultural change or a change in mind-set.

CONCLUSIONS

The results indicate that IRSs could be more effective if the criteria for what counts as an incident were explicit, they were owned and ledby clinical teams rather than centralized hospital departments, and they were embedded within organizations as part of wider safety programs.

Report on errors in pretransfusion testing from a tertiary care center: A step toward transfusion safety

INTRODUCTION

Errors in the process of pretransfusion testing for blood transfusion can occur at any stage from collection of the sample to administration of the blood component. The present study was conducted to analyze the errors that threaten patients' transfusion safety and actual harm/serious adverse events that occurred to the patients due to these errors.

MATERIALS AND METHODS

The prospective study was conducted in the Department Of Transfusion Medicine, Shri Maharaja Gulab Singh Hospital, Government Medical College, Jammu, India from January 2014 to December 2014 for a period of 1 year. Errors were defined as any deviation from established policies and standard operating procedures. A near-miss event was defined as those errors, which did not reach the patient. Location and time of occurrence of the events/errors were also noted.

RESULTS

A total of 32,672 requisitions for the transfusion of blood and blood components were received for typing and cross-matching. Out of these, 26,683 products were issued to the various clinical departments. A total of 2,229 errors were detected over a period of 1 year. Near-miss events constituted 53% of the errors and actual harmful events due to errors occurred in 0.26% of the patients. Sample labeling errors were 2.4%, inappropriate request for blood components 2%, and information on requisition forms not matching with that on the sample 1.5% of all the requisitions received were the most frequent errors in clinical services. In transfusion services, the most common event was accepting sample in error with the frequency of 0.5% of all requisitions. ABO incompatible hemolytic reactions were the most frequent harmful event with the frequency of 2.2/10,000 transfusions.

CONCLUSION

Sample labeling, inappropriate request, and sample received in error were the most frequent high-risk errors.

A near-miss management system architecture for the forensic investigation of software failures

Digital forensics has been proposed as a methodology for doing root-cause analysis of major software failures for quite a while. Despite this, similar software failures still occur repeatedly. A reason for this is the difficulty of obtaining detailed evidence of software failures. Acquiring such evidence can be challenging, as the relevant data may be lost or corrupt following a software system's crash. This paper proposes the use of near-miss analysis to improve on the collection of evidence for software failures. Near-miss analysis is an incident investigation technique that detects and subsequently analyses indicators of failures. The results of a near-miss analysis investigation are then used to detect an upcoming failure before the failure unfolds. The detection of these indicators - known as near misses - therefore provides an opportunity to proactively collect relevant data that can be used as digital evidence, pertaining to software failures. A Near Miss Management System (NMS) architecture for the forensic investigation of software failures is proposed. The viability of the proposed architecture is demonstrated through a prototype.

Transfusion errors: causes, incidence, and strategies for prevention

PURPOSE OF REVIEW

Miss-transfusion of blood has become one of the leading causes of death related to blood transfusion. New technology is able to better prevent miss-transfusions than older methods.

RECENT FINDINGS

New computer-based technology is available and is very effective in preventing miss-transfusion of blood.

SUMMARY

Humans make errors. New technology can prevent those errors.

Computerized bar code-based blood identification systems and near-miss transfusion episodes and transfusion errors

OBJECTIVE

To determine whether the use of a computerized bar code-based blood identification system resulted in a reduction in transfusion errors or near-miss transfusion episodes.

PATIENTS AND METHODS

Our institution instituted a computerized bar code-based blood identification system in October 2006. After institutional review board approval, we performed a retrospective study of transfusion errors from January 1, 2002, through December 31, 2005, and from January 1, 2007, through December 31, 2010.

RESULTS

A total of 388,837 U were transfused during the 2002-2005 period. There were 6 misidentification episodes of a blood product being transfused to the wrong patient during that period (incidence of 1 in 64,806 U or 1.5 per 100,000 transfusions; 95% CI, 0.6-3.3 per 100,000 transfusions). There was 1 reported near-miss transfusion episode (incidence of 0.3 per 100,000 transfusions; 95% CI, <0.1-1.4 per 100,000 transfusions). A total of 304,136 U were transfused during the 2007-2010 period. There was 1 misidentification episode of a blood product transfused to the wrong patient during that period when the blood bag and patient's armband were scanned after starting to transfuse the unit (incidence of 1 in 304,136 U or 0.3 per 100,000 transfusions; 95% CI, <0.1-1.8 per 100,000 transfusions; P=.14). There were 34 reported near-miss transfusion errors (incidence of 11.2 per 100,000 transfusions; 95% CI, 7.7-15.6 per 100,000 transfusions; P<.001).

CONCLUSION

Institution of a computerized bar code-based blood identification system was associated with a large increase in discovered near-miss events.

Development of an evidence-based framework of factors contributing to patient safety incidents in hospital settings: a systematic review

OBJECTIVE

The aim of this systematic review was to develop a 'contributory factors framework' from a synthesis of empirical work which summarises factors contributing to patient safety incidents in hospital settings.

DESIGN

A mixed-methods systematic review of the literature was conducted.

DATA SOURCES

Electronic databases (Medline, PsycInfo, ISI Web of knowledge, CINAHL and EMBASE), article reference lists, patient safety websites, registered study databases and author contacts.

ELIGIBILITY CRITERIA

Studies were included that reported data from primary research in secondary care aiming to identify the contributory factors to error or threats to patient safety.

RESULTS

1502 potential articles were identified. 95 papers (representing 83 studies) which met the inclusion criteria were included, and 1676 contributory factors extracted. Initial coding of contributory factors by two independent reviewers resulted in 20 domains (eg, team factors, supervision and leadership). Each contributory factor was then coded by two reviewers to one of these 20 domains. The majority of studies identified active failures (errors and violations) as factors contributing to patient safety incidents. Individual factors, communication, and equipment and supplies were the other most frequently reported factors within the existing evidence base.

CONCLUSIONS

This review has culminated in an empirically based framework of the factors contributing to patient safety incidents. This framework has the potential to be applied across hospital settings to improve the identification and prevention of factors that cause harm to patients.

Incomplete pretransfusion testing leads to surgical delays

BACKGROUND

The Joint Commission has highlighted the importance of having appropriate and complete pretransfusion testing before surgery begins. The maximum surgical blood ordering schedule (MSBOS) indicates which patients require preoperative transfusion testing. We determined the number of times surgical delays were caused due to the lack of completed pretransfusion testing.

STUDY DESIGN AND METHODS

All transfusion events reported through the common medical event reporting system of eight networked hospitals over a 12-month period were evaluated to determine how often patients experienced surgical delays due to not having complete pretransfusion testing.

RESULTS

During this 12-month period 12 patients were identified who were either in or en route to the operating room with incomplete pretransfusion testing leading to a delay in providing crossmatched red blood cells (RBCs). In 6 of 12 cases a new antibody was discovered, which required extra time for the provision of crossmatched RBCs, while in 4 of 12 patients the samples were not sent or were lost on the way to the blood bank. In the remaining two patients other parts of the pretransfusion testing process were not followed according to hospital policy. The median surgery start time delay was approximately 12 hours (range, 1-168 hr) in 11 of 12 cases. One patient's case was not aborted when it was discovered that crossmatched RBCs were not immediately available due to newly detected alloantibodies.

CONCLUSIONS

We identified three mechanisms by which delays in completing pretransfusion testing in surgical patients occurred. Adherence to the MSBOS and sample collection policies should reduce delays.

Improved traceability and transfusion safety with a new portable computerised system in a hospital with intermediate transfusion activity

BACKGROUND

A retrospective study carried out on medical records of transfused patients in our hospital in 2002 revealed that manual identification procedures were insufficient to offer satisfactory traceability. The aim of this study was to assess adequacy of transfusion traceability and compliance with proper identification procedures after introducing an electronic identification system (EIS) for transfusion safety.

MATERIALS AND METHODS

The chosen EIS (Gricode(®)) was set up. Traceability was calculated as the percentage of empty blood units used returned to the Transfusion Service, compared to the number of supplied units. Compliance in the Transfusion Service was calculated as the percentage of electronic controls from dispatch of blood components/transfusion request performed, compared to the total number of transfused units. Compliance in the ward was calculated as the percentage of electronic controls from sample collection/transfusion performed, compared to the total number of samples collected.

RESULTS

This retrospective study showed that only 48.0% of the medical records were free of inaccuracies. After the implementation of the EIS (2005-2008), traceability was always above 99%. Percentage of monthly compliance from 2006 to 2008 was always above 93%, showing a significant trend to increase (p<0.05). The mean compliance in this period was higher in the Transfusion Service (97.8 ± 0.7 SD) than in the ward (94.9 ± 2.4 SD; p<0.001). Compliance in the ward was lowest when the system was first implemented (87.9% in April 2006) after which it progressively increased. No errors in ABO transfusions were registered.

CONCLUSION

After implementation of the EIS, traceability and compliance reached very high levels, linked to an improvement in transfusion safety.

Near-miss reporting system as an occupational injury preventive intervention in manufacturing

BACKGROUND

a database of near-misses (NM), minor injuries, and OSHA recordable injuries was established at a mid-size electrical manufacturing plant as part of injury prevention efforts. The utility of a NM reporting system was evaluated by estimating its impact on the annual incidence of minor and OSHA recordable injuries.

METHODS

logistic regression was performed to examine the effects of predictor variables (year, age, duration of employment) on the type of event (NM, minor, OSHA recordable). Poisson regression was fit to model the annual rate of OSHA recordable injuries as a function of time.

RESULTS

1690 events were reported between 1999 and 2006 including 261 NM, 1205 minor, and 205 OSHA recordable injuries. The expected rate of OSHA recordable injuries decreased by 0.84 (95% CI: 0.73-0.97) annually.

CONCLUSIONS

the implementation of a NM reporting system was associated with decrease in the rate of OSHA recordable injuries. NM reporting systems may be valuable injury interventions in manufacturing.

Increasing patient safety event reporting in 2 intensive care units: a prospective interventional study

PURPOSE

The aims of this study were to increase the reporting of patient safety events and to enhance report analysis and responsive action.

MATERIALS AND METHODS

A prospective, interventional study in 2 adult intensive care units (ICUs) in an academic center was used. A paper-based reporting system, adapted from a previously reported intervention, was introduced. A multifaceted approach, including education, reminders, regular updates, personal and group feedback, and weekly leadership rounds, was led by a patient safety committee. Committee members reviewed the reports and initiated solutions as required.

RESULTS

During the first year, a total of 332 safety events were reported using the new system, reflecting a significant increase in total reporting (10.3/1000 patient days preintervention to 34.5/1000 patient days postintervention; rate ratio, 3.35; 95% confidence interval, 2.23-5.04). Most reports were submitted by nurses (nurses, 75.3%; physicians, 10.5%; other workers, 7.8%). Overall reported events per 1000 patient days differed by unit (level 3 ICU, 44.1; level 2 ICU, 24.9; P < .001). Several system-based interventions were initiated in the ICUs to address reported safety hazards.

CONCLUSIONS

After the introduction of this new approach, reporting rates have increased significantly throughout the first year. Differences in reporting rates among workers and units may reveal priorities and barriers to reporting. The integrated approach facilitated prompt response to selected reports.

Human factors in resuscitation: Lessons learned from simulator studies

Medical algorithms, technical skills, and repeated training are the classical cornerstones for successful cardiopulmonary resuscitation (CPR). Increasing evidence suggests that human factors, including team interaction, communication, and leadership, also influence the performance of CPR. Guidelines, however, do not yet include these human factors, partly because of the difficulties of their measurement in real-life cardiac arrest. Recently, clinical studies of cardiac arrest scenarios with high-fidelity video-assisted simulations have provided opportunities to better delineate the influence of human factors on resuscitation team performance. This review focuses on evidence from simulator studies that focus on human factors and their influence on the performance of resuscitation teams. Similar to studies in real patients, simulated cardiac arrest scenarios revealed many unnecessary interruptions of CPR as well as significant delays in defibrillation. These studies also showed that human factors play a major role in these shortcomings and that the medical performance depends on the quality of leadership and team-structuring. Moreover, simulated video-taped medical emergencies revealed that a substantial part of information transfer during communication is erroneous. Understanding the impact of human factors on the performance of a complex medical intervention like resuscitation requires detailed, second-by-second, analysis of factors involving the patient, resuscitative equipment such as the defibrillator, and all team members. Thus, high-fidelity simulator studies provide an important research method in this challenging field.

Reporting System in Transfusion Medicine - a Contribution to Patient Safety in the CLINOTEL Hospital Group

The members of the non-profit CLINOTEL Hospital Group have particularly high standards as regards the quality of patient care. These standards are based on a common understanding of quality in patient care that is also reflected in the quality policy of the individual member hospitals and which is in line with our motto 'Learn from the best, be one of the best'. We understand quality in its various dimensions; this means appropriate patient care in accordance with the latest medical knowledge and the best practice available. The individual values and expectations of the patients must be considered as an expression of respect for the individual and as a basic prerequisite for fulfilment of the expectations on us. Medical and nursing services must be provided with particular consideration for patient safety; the avoidance of damage must be given the highest priority. The reporting system presented is in line with our values and rounds off our activities in the field of quality assurance in transfusion medicine in the form of a preventative approach.

Blood still kills: six strategies to further reduce allogeneic blood transfusion-related mortality

After reviewing the relative frequency of the causes of allogeneic blood transfusion-related mortality in the United States today, we present 6 possible strategies for further reducing such transfusion-related mortality. These are (1) avoidance of unnecessary transfusions through the use of evidence-based transfusion guidelines, to reduce potentially fatal (infectious as well as noninfectious) transfusion complications; (2) reduction in the risk of transfusion-related acute lung injury in recipients of platelet transfusions through the use of single-donor platelets collected from male donors, or female donors without a history of pregnancy or who have been shown not to have white blood cell (WBC) antibodies; (3) prevention of hemolytic transfusion reactions through the augmentation of patient identification procedures by the addition of information technologies, as well as through the prevention of additional red blood cell alloantibody formation in patients who are likely to need multiple transfusions in the future; (4) avoidance of pooled blood products (such as pooled whole blood-derived platelets) to reduce the risk of transmission of emerging transfusion-transmitted infections (TTIs) and the residual risk from known TTIs (especially transfusion-associated sepsis [TAS]); (5) WBC reduction of cellular blood components administered in cardiac surgery to prevent the poorly understood increased mortality seen in cardiac surgery patients in association with the receipt of non-WBC-reduced (compared with WBC-reduced) transfusion; and (6) pathogen reduction of platelet and plasma components to prevent the transfusion transmission of most emerging, potentially fatal TTIs and the residual risk of known TTIs (especially TAS).

Consecutive national surveys of ABO-incompatible blood transfusion in Japan

BACKGROUND AND OBJECTIVES

Morbidity and mortality from ABO-incompatible transfusion persist as consequences of human error. Even so, insufficient attention has been given to improving transfusion safety within the hospital.

MATERIALS AND METHODS

National surveys of ABO-incompatible blood transfusions were conducted by the Japanese Society of Blood Transfusion, with support from the Ministry of Health, Labor and Welfare. Surveys concluded in 2000 and 2005 analysed ABO-incompatible transfusion data from the previous 5 years (January 1995 to December 1999 and January 2000 to December 2004, respectively). The first survey targeted 777 hospitals and the second, 1355 hospitals. Data were collected through anonymous questionnaires.

RESULTS

The first survey achieved a 77.4% response rate (578 of 777 hospitals). The second survey collected data from 251 more hospitals, but with a lower response rate (61.2%, or 829 of 1355 hospitals). The first survey analysed 166 incidents from 578 hospitals, vs. 60 incidents from 829 hospitals in the second survey. The main cause of ABO-incompatible transfusion was identification error between patient and blood product: 55% (91 of 166) in the first survey and 45% (27 of 60) in the second. Patient outcomes included nine preventable deaths from 1995 to 1999, and eight preventable deaths from 2000 to 2004.

CONCLUSION

Misidentification at the bedside persists as the main cause of ABO-incompatible transfusion.

Designing property specifications to improve the safety of the blood transfusion process

Computer scientists use a number of well-established techniques that have the potential to improve the safety of patient care processes. One is the formal definition of a process; the other is the formal definition of the properties of a process. Even highly regulated processes, such as laboratory specimen acquisition and transfusion therapy, use guidelines that may be vague, misunderstood, and hence erratically implemented. Examining processes in a systematic way has led us to appreciate the potential variability in routine health care practice and the impact of this variability on patient safety in the clinical setting. The purpose of this article is to discuss the use of innovative computer science techniques as a means of formally defining and specifying certain desirable goals of common, high-risk, patient care processes. Our focus is on describing the specification of process properties, that is, the high-level goals of a process that ultimately dictate why a process should be performed in a given manner.

Tubes for pretransfusion testing should be collected by blood bank staff and hand labelled until the implementation of new technology for improved sample labelling. Results of a prospective study

BACKGROUND AND OBJECTIVES

The greatest risk in transfusion medicine is actually human error, resulting in the use of the incorrect blood component. The aim of our study was to identify and evaluate the risk factors involved in the collection and labelling of pretransfusion blood samples.

MATERIAL AND METHODS

We prospectively evaluated 6446 samples submitted to the blood bank for pretransfusion testing. Inappropriate samples were classified as 'mislabelled' or 'miscollected'. After 4 months of study, an educational approach was taken.

RESULTS

The frequency of inappropriately labelled samples was 6.45%. Such samples were associated with the use of addressograph labels (vs. hand-written labels) [23.4% vs. 1.4%, P < 0.0001], collection by clinical staff (vs. blood bank staff) [8.8% vs. 2.1%, P = 0.001] and emergency situations (vs. routine sampling) [10.1% vs. 6.1%, P = 0.005]. Following educational intervention, the percentage of inappropriately labelled samples decreased from 7.3% (pre-educational) to 5.8% (post-educational), P = 0.005.

CONCLUSION

Ongoing monitoring and analysis of labelling and collection should be mandatory in order to improve the safety of transfusion.

Patient safety event reporting in critical care: a study of three intensive care units

OBJECTIVE

To increase patient safety event reporting in three intensive care units (ICUs) using a new voluntary card-based event reporting system and to compare and evaluate observed differences in reporting among healthcare workers across ICUs.

DESIGN

Prospective, single-center, interventional study.

SETTING

A medical ICU (19 beds), surgical ICU (24 beds), and cardiothoracic ICU (17 beds) at a 1,371-bed urban teaching hospital.

PATIENTS

Adult patients admitted to these three study ICUs.

INTERVENTIONS

Use of a new, internally designed, card-based reporting program to solicit voluntary anonymous reporting of medical errors and patient safety concerns.

MEASUREMENTS AND MAIN RESULTS

During a 14-month period, 714 patient safety events were reported using a new card-based reporting system, reflecting a significant increase in reporting compared with pre-intervention Web-based reporting (20.4 reported events/1,000 patient days pre-intervention to 41.7 reported events/1,000 patient days postintervention; rate ratio, 2.05; 95% confidence interval, 1.79-2.34). Nurses submitted the majority of reports (nurses, 67.1%; physicians, 23.1%; other reporters, 9.5%); however, physicians experienced the greatest increase in reporting among their group (physicians, 43-fold; nurses, 1.7-fold; other reporters, 4.3-fold) relative to pre-intervention rates. There were significant differences in the reporting of harm by job description: 31.1% of reports from nurses, 36.2% from other staff, and 17.0% from physicians described events that did not reach/affect the patient (p = .001); and 33.9% of reports from physicians, 27.2% from nurses, and 13.0% from other staff described events that caused harm (p = .005). Overall reported patient safety events per 1,000 patient days differed by ICU (medical ICU = 55.5, cardiothoracic ICU = 25.3, surgical ICU = 40.2; p < .001).

CONCLUSIONS

This card-based reporting system increased reporting significantly compared with pre-intervention Web-based reporting and revealed significant differences in reporting by healthcare worker and ICU. These differences may reveal important preferences and priorities for reporting medical errors and patient safety events.

Medicolegal liability in laboratory medicine

The laboratory testing process, including the preanalytic, analytic, and postanalytic phases, is an area where errors frequently occur. These errors may impair the diagnostic process and compromise patient safety. Delay in diagnosis and failure to diagnose are common reasons for a medicolegal action. It is estimated that over 70% of medical decisions are made using laboratory data. For this reason, the laboratory is often involved either directly or indirectly in medical liability cases. The laboratory and hospital need to design systems that reduce the possibility of error and to rapidly identify and resolve the errors that do occur. Because the pre- and postanalytic processes extend into the clinical operations of the hospital, the laboratory can play an important role in promoting patient safety by assisting clinicians with test ordering, communicating test results appropriately, and aiding in the interpretation of results.

Seven hundred and fifty-nine (759) chances to learn: a 3-year pilot project to analyse transfusion-related near-miss events in the Republic of Ireland

BACKGROUND

The National Haemovigilance Office has collected and analysed reports on errors associated with transfusion since 2000. A 3-year pilot research project in near-miss event reporting commenced in November 2002.

MATERIALS AND METHODS

Near-miss reports from 10 hospital sites were analysed between May 2003 and May 2005. The Medical Event Reporting System for Transfusion Medicine was used to collect and analyse the data. Root cause analysis was used to identify causes of error.

RESULTS

A total of 759 near-miss events were reported. Near misses are occurring 18 times more frequently than adverse events causing harm. Sample collection was found to be the highest risk step in the work process and was the first site of error in 468 (62%) events. Of these, 13 (3%) involved samples taken from the wrong patient. Medical staff were frequently involved in error. The general wards and emergency department were identified as high-risk clinical areas, in addition, 78 (10%) events occurred within the transfusion laboratory. Three specific human and two system failures were shown to have been associated with the errors identified in this study.

CONCLUSIONS

This study confirms that near-miss events occur far more frequently than adverse events causing harm. Collecting near-miss data is an effective means of highlighting human and system failures associated with transfusion that may otherwise go unnoticed. These data can be used to identify areas where resources need to be targeted in order to prevent future harm to patients, improving the overall safety of transfusion.

Increasing patient safety and efficiency in transfusion therapy using formal process definitions

The administration of blood products is a common, resource-intensive, and potentially problem-prone area that may place patients at elevated risk in the clinical setting. Much of the emphasis in transfusion safety has been targeted toward quality control measures in laboratory settings where blood products are prepared for administration as well as in automation of certain laboratory processes. In contrast, the process of transfusing blood in the clinical setting (ie, at the point of care) has essentially remained unchanged over the past several decades. Many of the currently available methods for improving the quality and safety of blood transfusions in the clinical setting rely on informal process descriptions, such as flow charts and medical algorithms, to describe medical processes. These informal descriptions, although useful in presenting an overview of standard processes, can be ambiguous or incomplete. For example, they often describe only the standard process and leave out how to handle possible failures or exceptions. One alternative to these informal descriptions is to use formal process definitions, which can serve as the basis for a variety of analyses because these formal definitions offer precision in the representation of all possible ways that a process can be carried out in both standard and exceptional situations. Formal process definitions have not previously been used to describe and improve medical processes. The use of such formal definitions to prospectively identify potential error and improve the transfusion process has not previously been reported. The purpose of this article is to introduce the concept of formally defining processes and to describe how formal definitions of blood transfusion processes can be used to detect and correct transfusion process errors in ways not currently possible using existing quality improvement methods.

Transfusion recipient identification

Recent reports from different haemovigilance systems indicate that errors in the whole-blood transfusion chain - from initial recipient identification to final blood administration - occur with a frequency of approximately 1 in 1000 events. Although mistakes occur also within the blood transfusion service, about two-thirds of errors are associated with incorrect blood recipient identification at the patient's bedside. To prevent the potentially fatal consequences of such mistakes, specific tools have been developed, including patient identification bracelets with barcodes and/or radio frequency identification devices, mechanical or electronic locks preventing access to bags assigned to other patients, and palm computers suitable for transferring blood request and administration data from the patient's bedside to the blood transfusion service information system in real time. The effectiveness of these systems in preventing mistransfusion has been demonstrated in a number of studies.

Nearly two decades using the check-type to prevent ABO incompatible transfusions: one institution's experience

To detect miscollected (wrong blood in tube [WBIT]) samples, our institution requires a second independently drawn sample (check-type [CT]) on previously untyped, non-group O patients who are likely to require transfusion. During the 17-year period addressed by this report, 94 WBIT errors were detected: 57% by comparison with a historic blood type, 7% by the CT, and 35% by other means. The CT averted 5 potential ABO-incompatible transfusions. Our corrected WBIT error rate is 1 in 3,713 for verified samples tested between 2000 and 2003, the period for which actual number of CTs performed was available. The estimated rate of WBIT for the 17-year period is 1 in 2,262 samples. ABO-incompatible transfusions due to WBIT-type errors are avoided by comparison of current blood type results with a historic type, and the CT is an effective way to create a historic type.

Reporting near-miss events in nursing homes

Since the Institute of Medicine report To Err Is Human was published in 1999, improving patient safety has become a major initiative for nurses working in all care settings. Nursing homes are a fertile environment for both a high frequency of adverse events to occur and a high number of institutional barriers to reporting them. This article outlines the barriers to reporting adverse events in nursing homes and provides support for why reporting near-miss events can serve as a means of reducing these barriers. It also provides recommendations and specific strategies for how to implement near-miss reporting systems in nursing homes such as policy changes, supportive leadership, and educating nurses about near-miss events. Further nursing research in this evolving area of patient safety is warranted.

Detection of a new weak A blood-group allele (Aw11)

BACKGROUND AND OBJECTIVES

Weak ABO variants may escape tests using unlicensed sera.

MATERIALS AND METHODS

Prior to transfusion, ABO grouping was performed using an automated system and in-house diluted sera, and manual and bedside test techniques. Genotyping and sequencing were performed using standard methods.

RESULTS

Initially, the red blood cells (RBC) of the first-time blood donor were typed as B, but pretransfusion testing carried out using the bedside test indicated the presence of an additional A phenotype. Serological re-examination confirmed the bedside test results, and the allele in question was identified, by genotyping, as a new weak A variant (Aw11).

CONCLUSIONS

The use of CE-marked and licensed antisera is recommended to avoid ABO mistyping.