scholarly journals RETROSPECTIVE EVALUATION OF PRE-ANALYTICAL ERRORS IN CLINICAL BIOCHEMISTRY LABORATORY AT A TERTIARY CARE CENTRE IN RAJSAMAND, RAJASTHAN.

2020 ◽  
Vol 4 (7) ◽  
Author(s):  
Richa K. Lath ◽  
Umeshkumar Pareek ◽  
Renu Sharma ◽  
Aniruddha N. Jibhkate ◽  
Ashish A. Jadhav ◽  
...  
Keyword(s):  
Clinical Biochemistry ◽  
Tertiary Care ◽  
Tertiary Care Centre ◽  
Percentage Occurrence ◽  
Preventive Actions ◽  
Ensure Patient Safety ◽  
Different Types ◽  
Analytical Phase ◽  
Clinical Biochemistry Laboratory ◽  
Analytical Errors

Background: This study was carried out to identify the causes of pre-analytical errors in the clinical biochemistry laboratory and their percentage occurrence so as to formulate the strategy for necessary corrective and preventive actions. Methods: A retrospective quantitative study was conducted in the department of biochemistry to identify the different causes of pre-analytical errors in the outpatient and inpatient samples. The sample rejection register and test requisition forms for the period of May 2018 to April 2019 were analysed and the percentage occurrence of the different types of errors was calculated. Results: Data analysis revealed that the occurrence of different errors was as follows: hemolysis (46.43%), sample not received (28.32%), insufficient quantity (8.16%), improper collection technique (7.14%), delayed transport (5.87%), wrong container (1.79%), sample clotted (1.28%), lipemic sample (0.77%) and sample exchanged during separation in lab (0.26%). Conclusion: The decline in the errors during the analytical phase of sample processing has shifted the focus towards reducing errors occurring in the pre-analytical phase. This is necessary to ensure patient safety. Keywords: Pre-analytical errors, Biochemistry, hemolysis.

scholarly journals A study of pre-analytical errors in the clinical biochemistry laboratory at Victoria hospital, BMCRI, Bangalore

2022 ◽  
Vol 8 (4) ◽  
pp. 278-280
Author(s):  
Sreeja Shanker J ◽  
H L Vishwanath ◽  
Vibha C ◽  
Muralidhara Krishna
Keyword(s):  
Observational Study ◽  
Prospective Observational Study ◽  
Clinical Biochemistry ◽  
Phase Error ◽  
Percentage Error ◽  
Corrective Measures ◽  
Analytical Phase ◽  
Clinical Biochemistry Laboratory ◽  
Phase Evaluation ◽  
Analytical Errors

To categorize and calculate the percentage error of pre-analytical variables in the clinical biochemistry laboratory. Prospective observational study conducted for two months with documenting the frequency and type of pre-analytical errors occurring in venous samples. The total errors recorded were 1.31%. Insufficient volume followed by haemolysis amounted to a major proportion of errors. Continuous pre-analytical phase evaluation and taking corrective measures to make this phase error-free, have to be done.

scholarly journals Turn Around Time for Clinical Biochemistry Laboratory: A Vital and Effective Parameter for Patient Care

2021 ◽  
Author(s):  
Mitul Navinchandra Chhatriwala ◽  
Dharmik Savjibhai Patel ◽  
Divyal Patel ◽  
Hitesh N Shah
Keyword(s):  
Clinical Biochemistry ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sample Collection ◽  
Diagnostic Laboratory ◽  
Cross Sectional ◽  
Entire Interval ◽  
Turn Around Time ◽  
Analytical Errors

Introduction: Clinical laboratories are judged by its validity, reliability, genuineness or authenticity and its timeliness in reports generating. Repetitively, patients and physicians complain about the time taken by the laboratory for the investigation. The total Turn Around Time (TAT) for laboratory tests includes the entire interval from the order of the test to the awareness of the result by the clinicians. The evaluation and improvement of TAT is crucial for the management of laboratory quality and the satisfaction of patients. Aim: To observe the TAT of common biochemical investigations, to identify reasons for increased TAT and to formulate a plan to rectify increased TAT. Materials and Methods: A hospital based cross-sectional study was conducted at the Clinical Biochemistry Section of the Central Diagnostic Laboratory of Tertiary Care Hospital. TAT data from April 2014 to September 2015 were included in the study. The laboratory technicians and the resident doctors of biochemistry recorded the reasons for the delay of those specimens exceeding the TAT. Data were analysed with the help of statistical software Epi Info 7. Results: The total number of samples received in the biochemistry laboratory were 1,85,658. Out of this, Out Patient Department (OPD) samples were 1,35,022 and Intensive Care Unit (ICU) samples were 50,636. Pre-analytical errors were observed in 670 of ICU samples, which was 1.32% of total samples received and it was higher than the post-analytical errors. In the pre-analytical phase, the most common cause was inaccurate procedures of sample collection. Conclusion: This study demonstrates that the main culprit of increased TAT was delay in the sample transportation and Haemolysed samples. TAT minimisation is a constant procedure for any facility. Every laboratory needs to develop a decent approach for reducing the TAT.

scholarly journals Adverse drug reaction prevalence pattern among drugs and its correlation with causality assessment in ADR monitoring centre in Kerala over 6 months

2018 ◽  
Vol 8 (1) ◽  
pp. 47
Author(s):  
Sunil Nettath
Keyword(s):  
Anticancer Agents ◽  
Causality Assessment ◽  
Tertiary Care ◽  
Tertiary Care Centre ◽  
Medical College ◽  
Monitoring Centre ◽  
The Past ◽  
Different Types ◽  
Retrospective Data Collection ◽  
Pattern Distribution

Background: Prevalence of adverse drug reactions had been studied extensively in the past to find out the drug pattern distribution of ADR. In this study, authors tried to find out the prevalence pattern and its correlation with the WHO causality assessment over the 6 months.Methods: This study was done in Govt Medical College Palakkad Kerala as an observational study. Without revealing the identity of the patients as is done in ADR reporting in pharmacovigilance program, a retrospective data collection was done by collecting different types of ADR reported in this hospital for the previous six months. Only data of inpatients was collected and tabulated for different group of drugs. Then using the WHO scale of causality assessment, the ADR individually was classified to probable, possible, or certain and tabulated.Results: In this study, the prevalence pattern of drugs causing ADR was evaluated over six months in a tertiary care centre. Out of the 45 cases reported, major ADR were for antibiotics (55.5%) and anticancer agents (18.2%) and the least reported ADR were for vaccines and supplements (2.2%). In causality assessment WHO scale only one case was certain (2.2%). Here the majority Causality assessment was found to be probable (44.45%) and possible (51.2%).Conclusions: From this study it is concluded that the antibiotics has the major ADR pattern. It’s also known that the probable and possible causalities are more common when ADR are reported.

scholarly journals Regional prevalence of different types of sinusitis at a tertiary care centre in Northern India

2020 ◽  
Vol 6 (5) ◽  
pp. 969
Author(s):  
Abdul Rehman Khan ◽  
Farzana Siddiqui
Keyword(s):  
Otitis Media ◽  
Tertiary Care ◽  
Acute Type ◽  
Upper Respiratory Tract ◽  
Care Centre ◽  
Tertiary Care Centre ◽  
Suppurative Otitis Media ◽  
Northern India ◽  
Different Types ◽  
Tract Infections

<p class="abstract"><strong>Background:</strong> The aim of the study was to determine the incidence of different types of rhinosinusitis in patients attending ENT Department OPD at a tertiary care centre in Ruhelkhand area of Northern India.</p><p class="abstract"><strong>Methods:</strong> This study was done at department of Otorhinolaryngology, RMRI, Bareilly, India, a tertiary-care Teaching hospital. A total number of 39823 patients (22379 females, 17444 males) were included in this study from December 2017 till February 2020. Age range of selected patients was 3 months to 76 years, 3883 patients were having Rhinosinusitis and remaining having other ENT diseases.  </p><p class="abstract"><strong>Results:</strong> During 27 months period from December 2017 to February 2020, 39823 patients were seen in the OPD and patients were categorized in different disease groups, like chronic suppurative otitis media and acute suppurative otitis media, upper respiratory tract infections, acute and chronic tonsillitis and pharyngitis. Fourth most common disease group was different types of rhinosinusitis.</p><p class="abstract"><strong>Conclusions:</strong> In this study assessment was done of different ENT patients attending OPD. Chronic rhinosinusitis (46.1%) was the most common type of rhinosinusitis, followed by Acute type (29.7%).</p>

Sign in / Sign up

Export Citation Format

Share Document