scholarly journals Impact of NABL on Quality Indicators of Pre-Analytical Phase of Testing in Tertiary Care Hospital

2019 ◽  
Vol 6 (4) ◽  
pp. A231-236
Author(s):  
Margit Ghanshyambhai Gajjar ◽  
◽  
Dipti Rameshbhai Gajjar ◽  
2017 ◽  
Vol 112 ◽  
pp. S612
Author(s):  
Rashid Z. Syed ◽  
Jacob Breaux ◽  
Muhammad Mubarak ◽  
Kyle E. Wilson ◽  
Usman Rahim ◽  
...  

2019 ◽  
Vol 4 (2) ◽  
pp. 110-115
Author(s):  
Priyanka S Murgod ◽  
◽  
Preeti Rajeev Doshi ◽  
Kunda Jagadale ◽  
Rachana Lakhe ◽  
...  

2021 ◽  
Vol 9 (01) ◽  
pp. 669-679
Author(s):  
Zaffar N. ◽  
◽  
Rashid H. ◽  
Hussain S. ◽  
Hakeem A ◽  
...  

Background: Laboratory turnaround time is considered one of the most important indicators of work efficiency in hospitals, physicians always need timely results to take effective clinical decisions especially in the emergency department where these results can guide physicians whether to admit patients to the hospital, discharge them home or do further investigations. Objectives:1. Calculate the turnaround time for the various biochemical investigations from accident and emergency of a tertiary care institute.2. To find the percentage contribution of pre-analytical, analytical and post analytical phases to TAT. Materials And Methods: This was a prospective, descriptive, single-center study of therapeutic TAT for biochemistry investigations in accident and emergency of a tertiary care hospital. The study was conducted for a period of 3 months from August 2020 to Oct 2020. During the present study period, all biochemistry investigations ordered from emergency department were studied. The Lundberg definition of TAT was used in this study. This means that the pre-analytical TAT used was from the point of order of tests to the receipt of samples at the laboratory. Similarly, the post-analytic phase started from the time results were available at the laboratory to the point where clinicians could access it for action. Results: The turnaround time (TAT) has been monitored in total of 7515 samples for biochemistry evaluation with mean TAT of 169.6 min. It was noted that the mean pre analytical time period was 120.6 min , Analytical time period 34 min while post analytical time period was 15 min. In our study of the pre-analytical phase 37.7%, 39.3%, and 22.9% tests were completed within 60, 60-120 and above 120 minutes, respectively. With respect to the analytical phase, 80.4% and 19.6% tests were completed below 45 minutes and above 45 minutes, respectively. Conclusion: Despite efficient analysis of results, the pre analytic period contributed the most delay in TAT. Collecting the blood samples under standard conditions, filling the test request slips, marking the samples with bar-codes contributed to long TAT.


2012 ◽  
Vol 27 (1) ◽  
pp. 61-68 ◽  
Author(s):  
Rachna Agarwal ◽  
Sujata Chaturvedi ◽  
Neelam Chhillar ◽  
Renu Goyal ◽  
Ishita Pant ◽  
...  

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
L Perez De Isla ◽  
JC Gomez Polo ◽  
A Salinas Gallegos ◽  
P Mahia Casado ◽  
A Viana Tejedor ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Sanofi Aventis S.A. Introduction Optimisation of the care of patients after an acute coronary syndrome (ACS) is a fundamental step to improve health outcomes and avoid consecutive cardiovascular events however data on how care is provided is often absent. Purpose Our objective was to analyse the main quality indicators in the post-ACS patient pathway so as to determine the actions which avoid future CDV events. Methods In a random sample of 100 patients between January 2018 and December 2019, we selected the indicators which most affect secondary prevention in patients post-ACS. All patients had been diagnosed with ACS within a tertiary-care hospital with a 24h interventional cardiology lab.  The indicators were retrospectively analysed using the patients’ health record. Results The main results are presented in Table 1. Conclusions Based on this, we proposed an integrated protocol for all patients post-ACS which will begin in 2021 within this tertiary-care hospital. Within this protocol, the information contained in the discharge report will be improved and automatized as much as possible so as re-evaluate at a later date. Table 1: Demographics and results Title of the indicator Yes (%) No (%) Men 76 24 STEMI 40 60 NSTEMI 60 40 Dual antiplatelet therapy included in discharge report 100 0 High doses statins at discharge 98 2 BMI included in discharge report 0 100 LDL objective included in discharge report 14 86 HbA1c objective included in discharge report 13 87 Physical activity included in discharge report 15 85 Flu vaccination recomendations included in discharge report 0 100 Complete blood analysis completed 4-6 weeks after discharge 100 0 Blood pressure is measured on first post-discharge consultation 100 0 Blood pressure medication is changed on first post-discharge consultation 28 78 Patient arrives with measurement for HbA1c on first post-discharge consultation 78 22 Antidiabetic medication is modified on first post-discharge consultation 8 92 BMI is registered on first post-discharge consultation 0 100 Patients with LDL below 55mg/dl on first post-discharge consultation 29 71 Lipid-lowering medications is changed on first post-discharge consultation 29 71


Author(s):  
S. Vinod Kumar B. S. Prasad ◽  
Satish S. Patil V. L. Jayasimha ◽  
J. K. Veni Emilda V. R. Shwetha ◽  
K. G. Raghu Kumar M. Veena ◽  
N. K. Kalappanavar

A quality indicator is a tool that enables the user to quantify the quality of a selected aspect of care by comparing it with a set benchmark. The objective of this study was to review quality indicators for COVID-19 molecular testing at S.S. Institute of Medical Sciences and Research Centre and to compare with the predefined quality indicators in order to improve the performance of the molecular laboratory and to initiate the corrective and preventive measures. Over the period of one year we assessed different quality indicators collected from the molecular laboratory of a tertiary care hospital in Central Karnataka which has processed 36000 throat swabs for the diagnosis of COVID-19. Twelve quality indicators under pre-analytical, analytical and post analytical stage were assessed for the quality by referring it with the select criteria. Missing test request form / specimen (1.36/1000) was the most common inconsistency observed during the assessment of pre-analytical indicators followed by specimen inadequacy (0.194/1000), duplicate specimen referral forms (SRF) generated in ICMR portal (0.277/1000) and color change in the viral transport medium. In analytical phase, non-conformity with QC was seen in 2.83/1000 samples. In post analytical phase, excessive turnaround time was seen in 0.75/1000 samples followed by revised reports due to transcription error (0.38/1000) and duplicate reports (0.13/1000). The results of assessment of quality indicators in the molecular laboratory explicitly supports that laboratory could keep the incidence of errors to the minimum level by following proper corrective and preventive measures. Thus, catering quality laboratory services during devastated COVID pandemic year.


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