Evaluating laboratory request forms submitted to haematology and blood transfusion departments at a hospital in Northwest Nigeria

Information technology improves the quality of transfusion practice in China

BACKGROUND AND OBJECTIVES

Transfusion services in China must establish a quality management system, and regular inspection of quality indicators is an important component of quality management. Although the positive role of information technology in reducing human errors has been widely reported, its role in improving transfusion quality indicators still requires further study. This study explores the role of information technology in improving the quality of transfusion practice.

MATERIALS AND METHODS

We developed an optimized blood transfusion management information system and then analysed the changes in four quality indicators before and after using the system to clarify the role of information technology in improving the quality of transfusion practice.

RESULTS

After using the optimized system, the completeness rate for transfusion request forms increased from 81.5% to 99.3%; an unqualified doctor's signature was the most common incomplete content (0.45%). The appropriate transfusion rate increased from 87% to 99.4%, and red blood cell and frozen plasma utilization in most surgical departments decreased. Although the reporting rate for adverse transfusion reactions increased from 0.22% to 0.49%, these increases might be partly due to changes in transfusion regulations. The adequacy rate of transfusion medical records increased from 74.8% to 90.4%. Overall, the inadequacy of informed consent for transfusion, pre-transfusion laboratory tests and documentation of the transfusion process were reduced from 6.4%, 6.2% and 12.6% to 1.7%, 2.0% and 5.9%, respectively.

CONCLUSION

Information technology can play an important role in improving the quality of transfusion practice, as part of a programme of medical education, regular audit and other measures.

Magnitude of extra-analytical errors and associated factors in medical laboratories in thirteen Public Hospitals in Addis Ababa, Ethiopia

Background

Currently, more than two-thirds of medical decisions are made based on laboratory test results. However, due to the compromised pre-analytical and post-analytical phases (or extra-analytical phase), the reporting of incorrect or inappropriate test results was still prevalent. Studies focusing on the prevalence of and factors associated with laboratory error remain very limited in Ethiopia.

Objective

This study aimed to assess the magnitude of extra-analytical errors and associated factors in medical laboratory services in 13 public hospitals in Addis Ababa, Ethiopia, from January to April 2020.

Materials and Methods

A hospital-based cross-sectional study was conducted in the medical laboratories of public hospitals in Addis Ababa from January to April 2020 to assess extra-analytical errors and associated factors. Data were collected from 2401 laboratory request forms ordered within the study period and 169 laboratory professionals working in public hospitals. The collected data were entered and analyzed using SPSS version 23 software. Data were analyzed using simple descriptive statistics, percentages, and frequencies and summarized using tables and text. Bivariate logistic regression analysis was conducted, and variables (with a p value below 0.25) were included in the multivariate logistic regression model. A p value <0.05 was considered a cutoff point in the final model.

Results

In this study, of the errors detected, 60.3% occurred in the pre-analytical phase and 39.7% in the post-analytical phase. Extra-analytical errors in laboratory services were significantly associated with lack of written procedures for laboratory activities (adjusted odds ratio = 2.79, 95% confidence interval = 1.34-5.86), 1-2 years of work experience (adjusted odds ratio = 5.5, 95% confidence interval = 2.54-9.31), work experience (3-5 years) (adjusted odds ratio = 2.67, 95% confidence interval = 0.94-4.56), and education (diploma) (adjusted odds ratio = 6.30, 95% confidence interval = 2.17-12.26).

Conclusion

This study discovered errors in the pre-analytical (60.3%) and post-analytical (39.7%) phases, and none of the requisition papers had complete data. This frequency may be affected by workload, a lack of written procedures, the number of years of work experience, and the level of education of the staff.

Information Adequacy in Histopathology Request Forms: A Milestone in Making a Communication Bridge Between Confusion and Clarity in Medical Diagnosis

OBJECTIVE

Information contained in request forms for histopathological examinations plays a critical role in the microscopic interpretation of tissue changes. Despite its importance, studies have shown inadequacies in the information communicated by clinicians. This study aimed to determine how well the necessary information is provided on the histopathology request forms and to compare its variability among different departments of a hospital.

MATERIAL AND METHOD

A retrospective, 3-month, cross-sectional study was conducted to evaluate all consecutive histopathology request forms received from different departments of a tertiary, academic hospital for three months, regarding the documentation of 12 criteria.

RESULTS

None of the 2040 requests received had all the required items. Four items of specimen description, laboratory and imaging findings, and physician contact number were available only in less than 12.5% (range between 0.05 to 12.45%) of the requests. However, four other items of patient name and contact number, physician name, and anatomical site of the lesion were documented in more than 90%. The median number of the documented items was the highest in the surgery and orthopedics (9 items) and the lowest in the pulmonology department (7 items). Comparison between departments showed that the documentation of items in the surgery department were significantly better than that of the ENT, urology, and internal medicine departments (p < 0.001). Also, the internal medicine department was significantly different from all other departments (p < 0.001) except neurosurgery (p=0.88).

CONCLUSION

Our results point out a serious gap in the adequacy of pathology request forms, especially clinical items. Given the implication of such information to ensure patient safety, further studies are recommended to evaluate the impact of educational and supportive computerized interventions such as clinician education and barcoding and specimen tracking systems to help fill in the required items completely.

Total Clinical Chemistry Laboratory Errors and Evaluation of the Analytical Quality Control Using Sigma Metric for Routine Clinical Chemistry Tests

BACKGROUND

Currently, the use of clinical laboratory tests is growing at a promising rate and about 80% of the clinical decisions made are based on the laboratory test results. Therefore, it is a major task to achieve quality service. This study was conducted to assess the magnitude of errors in the total testing process of Clinical Chemistry Laboratory and to evaluate analytical quality control using sigma metrics.

METHODS

A cross-sectional study was conducted at Dessie Comprehensive Specialized Hospital Clinical Chemistry Laboratory, Northeast Ethiopia, from 10 February 2020 to 10 June 2020. All Clinical Chemistry Laboratory test requests with their respective samples, external quality control and all daily internal quality control data during the study period were included in the study. Data were collected using a prepared checklist and analyzed using SPSS version 21.

RESULTS

A total of 4719 blood samples with their test requests were included in the study. Out of 145,383 quality indicators, an error rate of 22,301 (15.3%) was identified in the total testing process. Of the total errors, 76.3% were pre-analytical, 2.1% were analytical and 21.6% were post-analytical errors (p<0.0001). Of the total 14 analytes in the sigma metric evaluation, except ALP, all routine clinical chemistry tests were below the standard (<3). In multivariate logistic regression, the location of patients in the inpatient department was significantly associated with the specimen rejection ((AOR=1.837, 95% CI (1.288-2.618), p=0.001).

CONCLUSION

The study found a higher frequency of errors in the total testing process in the Clinical Chemistry Laboratory and almost all test parameters had an unsatisfactory sigma metric value.

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.

Extra-Analytical Clinical Laboratory Errors in Africa: A Systematic Review and Meta-Analysis

BACKGROUND

Clinical laboratory testing is a highly complex process involving a different procedure. Laboratory errors may occur at any stage of the test process, but most errors occur during extra-analytical phases. The magnitude of clinical laboratory errors, in particular extra-analytical errors, was inconsistent in different studies.

METHODS

A systematic review and meta-analysis were conducted based on the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. The extracted data were entered into a Microsoft Excel spreadsheet and transferred to STATA version 11 for the analysis. Random effect model was used to estimate pooled prevalence of extra-clinical laboratory errors and I² statistic was used to assess heterogeneity between the studies. Funnel plot analysis and Egger weighted regression test were performed to detect the publication bias. Egger weighted regression test with P-value <0.05 was considered to be a statistically significant publication bias.

RESULTS

A total of 1,381 studies were searched, 19 were included in this systematic review and meta-analysis. A total of 621,507 pre-analytical and 51,859 post-analytical outcomes of quality indicators were reported. A total of 145,515 samples were assessed for rejection and 62,513 laboratory requests were evaluated for incompleteness. The pooled prevalence of pre-analytical and post-analytical errors in Africa was 17.5% (95% Cl: 11.55, 23.45) and 10.99% (95% Cl: 5.30, 16.67) respectively. The pooled prevalence of specimen rejection and laboratory request forms incompleteness in Africa was 2.0% (95% Cl: 0.86, 3.14) and 7.55% (95% Cl: 2.30, 12.80) respectively.

CONCLUSION

The study found high prevalence of pre- and of post-analytical clinical laboratory errors in Africa. In addition, the study showed that the standard completion of the laboratory request forms was poor and there were significant numbers of specimen rejections. Therefore, clinical laboratories should ensure compliance with standard operating procedures, the laboratory information system, the cooperation of the entire staff and the targeted training of sample collectors.

Blood components requests at an orthopedic hospital: a critical survey

Introduction

The correct completion of the blood components request form is the starting point to ensure good transfusion care. Many guidelines have been developed to search for hemoglobin values that trigger the need for transfusion and show the importance of Patient Blood Management, a scientific evidence-based approach in processes where transfusion is a possibility, such as in elective surgeries.

Objective

The cross-sectional study aimed to analyze the transfusion requests at a complex orthopedic hospital over a one-year period.

Method

The completion quality was classified as Good, Regular, Bad or Very Bad, according to the information given by the physician. Transfusion medicine professionals analyzed the transfusion indication reported on the request form and classified it as Correct, Not based on Patient Blood Management (PBM), in accordance or not with the institutional Maximum Surgical Blood Order Schedule, Impossible to evaluate due to lack of information on the form, and Incorrect.

Results

The study categorized the completion quality of 2011 requests as Good (8.80%), Regular (9.30%), Bad (72.75%) and Very Bad (9.15%). Analysis of the indications revealed that 54.90% of the requests were in accordance with the current blood transfusion recommendations, and on 23.12% of the forms this field had not been filled out.

Conclusion

The majority of blood components (63%) requests are in tune with current blood transfusion recommendations, despite the great number of incorrectly completed forms; nevertheless, it is mandatory to reach much better appropriateness rates.

Errors in the Total Testing Process in the Clinical Chemistry Laboratory at the University of Gondar Hospital, Northwest Ethiopia

Background

Laboratory services have been described as the major processes contributing to safe patient care in the modern healthcare sector. However, occurrences of errors in the overall testing processes impair the clinical decision-making process. Such errors are supposed to be high in resource-poor countries, like Ethiopia. The objective of this study was to assess errors in the total testing process in the Clinical Chemistry laboratory of the University of Gondar Hospital, Northwest Ethiopia.

Methods

A cross-sectional study was conducted at the University of Gondar Hospital from February to March 2016. All the required data were collected using established quality indicators. Data were analyzed using SPSS version 20. Frequencies and cross-tabulations were used to summarize descriptive statistics.

Results

A total of 3259 samples and corresponding laboratory request forms were received for analysis. The analysis of the overall distribution of errors revealed that 89.6% were pre-analytical errors, 2.6% were analytical, and 7.7% were post-analytical errors. Of the pre-analytical errors, incomplete request form filling was the most frequent error observed, followed by sample rejection rate (3.8%). Analytical errors related to internal and external quality control exceeding the target range, (14.4%) and (51.4%) respectively, were reported. Excessive turnaround time and unreported critical value cases were the major defects in the post-analytical phase of quality assurance.

Conclusion

The present finding showed relatively high frequency of errors, which alarms the importance of quality indicators to assess errors in the total testing process. The University of Gondar Hospital laboratory should improve the quality of healthcare services based on these findings using laboratory standards.

Audit and education: Role in safe transfusion practice

BACKGROUND

Auditing and education are the tools for improvement in the transfusion practices. Clinicians are not providing patient's demographic data and medical history to the blood bank that required transfusion. This missing information in blood request forms can lead to transfusion reactions to the patient. So we planned to analyse the blood request forms received at our blood bank and the impact of educational program for the clinicians.

METHODS

A total of 6894 blood request forms were received from the month of July 2014 to December 2014 at a blood bank in Amritsar, India. We evaluated for completeness of the blood request form in parameter columns like second identification (CR No. or Father/Husband Name), diagnosis, pre transfusion hematological parameters, quality and quantity of blood component required, history of previous transfusion and adverse transfusion reaction, urgency of transfusion, medical officer name and signature, phlebotomist name and signature etc. A series of CMEs on "Safe Transfusion Practices" were organized for clinicians and hospital staff from 1st August 2014 and improvement in clinicians' behavior was analysed.

RESULTS

A total of 60.83% requests were not filled completely during the study period. Of these 91.42% were in the month of July, which decreased to 48.76% in the month of December 2014 with a total improvement of 42.66%. Incomplete second identification (91.03%) and history of previous transfusion and adverse transfusion reactions (80.21%) were the commonest incomplete fields in the month of July 2014. In the month of December 2014, an improvement in incomplete second identification was observed (12.8%) however phlebotomist signature was still a major incomplete field (45.19%). A statistically significant (p value = 0.004, paired 't' test) improvement in completeness of forms was observed.

SUMMARY

Results of medical audit and using those as a basis for developing a highly targeted educational program, can improve the clinicians' approch towards transfusion practices.

The diagnostic-clinical chasm: Work in progress?

No abstract available.