Gaps in Diabetic Ketoacidosis Management at a Tertiary Hospital: Need for Quality Improvement

2017 ◽  
Vol 41 (5) ◽  
pp. S53
Author(s):  
Angela Assal ◽  
Bikrampal Sidhu ◽  
Christine Ibrahim ◽  
Vithika Sivabalasundaram ◽  
Ilana Halperin ◽  
...  
BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e040361
Author(s):  
Amanda Klinger ◽  
Ariel Mueller ◽  
Tori Sutherland ◽  
Christophe Mpirimbanyi ◽  
Elie Nziyomaze ◽  
...  

RationaleMortality prediction scores are increasingly being evaluated in low and middle income countries (LMICs) for research comparisons, quality improvement and clinical decision-making. The modified early warning score (MEWS), quick Sequential (Sepsis-Related) Organ Failure Assessment (qSOFA), and Universal Vital Assessment (UVA) score use variables that are feasible to obtain, and have demonstrated potential to predict mortality in LMIC cohorts.ObjectiveTo determine the predictive capacity of adapted MEWS, qSOFA and UVA in a Rwandan hospital.Design, setting, participants and outcome measuresWe prospectively collected data on all adult patients admitted to a tertiary hospital in Rwanda with suspected infection over 7 months. We calculated an adapted MEWS, qSOFA and UVA score for each participant. The predictive capacity of each score was assessed including sensitivity, specificity, positive and negative predictive value, OR, area under the receiver operating curve (AUROC) and performance by underlying risk quartile.ResultsWe screened 19 178 patient days, and enrolled 647 unique patients. Median age was 35 years, and in-hospital mortality was 18.1%. The proportion of data missing for each variable ranged from 0% to 11.7%. The sensitivities and specificities of the scores were: adapted MEWS >4, 50.4% and 74.9%, respectively; qSOFA >2, 24.8% and 90.4%, respectively; and UVA >4, 28.2% and 91.1%, respectively. The scores as continuous variables demonstrated the following AUROCs: adapted MEWS 0.69 (95% CI 0.64 to 0.74), qSOFA 0.65 (95% CI 0.60 to 0.70), and UVA 0.71 (95% CI 0.66 to 0.76); there was no statistically significant difference between the discriminative capacities of the scores.ConclusionThree scores demonstrated a modest ability to predict mortality in a prospective study of inpatients with suspected infection at a Rwandan tertiary hospital. Careful consideration must be given to their adequacy before using them in research comparisons, quality improvement or clinical decision-making.


2020 ◽  
Vol 48 (1) ◽  
pp. 663-663
Author(s):  
Katie McGuire ◽  
Bridget Hovendon ◽  
Colleen Sansoucie ◽  
Cassandra Pietkiewicz ◽  
Kathryn Hilbert ◽  
...  

HORMONES ◽  
2020 ◽  
Author(s):  
Labrini Papanastasiou ◽  
Spyridoula Glycofridi ◽  
Christos Gravvanis ◽  
Nikitas Skarakis ◽  
Irene Papadimitriou ◽  
...  

2020 ◽  
Vol 2 (3) ◽  
pp. 289
Author(s):  
Assumpta Yamuragiye ◽  
Faustin Ntirenganya ◽  
David Tumusiime ◽  
Mecthilde Mukangendo ◽  
Dawit T. Bisrat ◽  
...  

2016 ◽  
Vol 49 (5) ◽  
pp. 663-671 ◽  
Author(s):  
Yu-Chen Cheng ◽  
Chung-Hao Huang ◽  
Wei-Ru Lin ◽  
Po-Liang Lu ◽  
Ko Chang ◽  
...  

2018 ◽  
Vol 24 (8) ◽  
pp. S103-S104
Author(s):  
Deepak Vedamurthy ◽  
Sanjay Doddamani ◽  
Haiyan Sun ◽  
Avery Schulze

2012 ◽  
Vol 36 (2) ◽  
pp. 229 ◽  
Author(s):  
Andrew Jones ◽  
John P. Monagle ◽  
Susan Peel ◽  
Matthew W. Coghlan ◽  
Vangy Malkoutzis ◽  
...  

Clinical indicators using routinely collected International Statistical Classification of Diseases, Australian Modification (ICD–10–AM) data offer promise as tools for improvement of quality. The ICD–10–AM is the coding system used by Australian administrators to summarise information from the clinical record to describe a patient’s hospital encounter. The use of anaesthesia complications as coded by this system has been proposed by two jurisdictions as a monitor of the quality of anaesthetic services. We undertook a review of cases identified by such indicators in a large tertiary hospital. Our results indicate the anaesthesia indicator dataset proposed by the Victorian and Queensland Health departments appears to have little clinical or quality improvement relevance. What is known about the topic? Quality assurance relies on reviewing performance, highlighting issues and eliminating or minimising the identified risks. Case or risk identification in the medical arena relies heavily on self reporting, which has many flaws. A system not dependent on self reporting that was reliable would be a positive development in the pursuit of quality improvement. What does this paper add? ICD-AM-10 coding was used to identify complications attributable to anaesthesia as defined by the coding system. The cases identified were then reviewed for the clinical accuracy of this information. The clinical coding was accurate, but the clinical case load so identified did not accurately reflect real incidents of anaesthesia-related complications. The ICD AM 10 codes, as they relate to anaesthesia complications, do not provide a reliable method of identifying cases that contribute to anaesthetic quality assurance activities. What are the implications for practitioners? Anaesthesia quality assurance continues to be dependent on self reporting of relevant cases. Coded data do not provide an adequate substitute for the self reporting mechanisms.


Sign in / Sign up

Export Citation Format

Share Document