scholarly journals ANALYTICAL COMPARISON BETWEEN SPECTROPHOTOMETER AND PORTABLE GLUCOMETER FOR MEASUREMENT OF BLOOD GLUCOSE IN HORSE

2019 ◽  
Author(s):  
Nanoshe Taye Jima ◽  
Yoseph Cherinet Megerssa
Keyword(s):  
Blood Glucose ◽  
Clinical Decision Making ◽  
Clinical Laboratory ◽  
Addis Ababa ◽  
Point Of Care ◽  
Clinical Decision ◽  
Mean Value ◽  
P Value ◽  
Glucose Determination ◽  
Spectrophotometric Methods

Abstract Objective: Analytical methods comparison for the determination of blood glucose are essential in clinical laboratory practice as it improves the quality of health care through accurate and reliable clinical decision making. Therefore The study was done to assess the analytical performance between point-of-care glucometer and spectrophotometric methods for blood glucose determination. Results: Twenty paired samples from horses visiting SPANA clinic of college of veterinary medicine and agriculture Addis Ababa University was used. Data obtained from both instruments was compared. The results shows that the mean value of blood glucose concentrations were higher in by the glucometric method (106mg/dl) than by the spectrophotometric (73mg/dl) with the calculated t-statistic significantly different p-value of 0.000. This study showed the clinical inaccuracy of the glucometer over the spectrophotometer.

POCT errors can lead to false potassium results

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Antonio Buño ◽  
Paloma Oliver
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Laboratory ◽  
Point Of Care ◽  
Clinical Intervention ◽  
Clinical Decision ◽  
Whole Process ◽  
Severe Hyperkalemia ◽  
Wrong Diagnosis ◽  
Critical Patients

Abstract Point-of-care-testing (POCT) facilitates rapid availability of results that allows prompt clinical decision making. These results must be reliable and the whole process must not compromise its quality. Blood gas analyzers are one of the most used methods for POCT tests in Emergency Departments (ED) and in critical patients. Whole blood is the preferred sample, and we must be aware that hemolysis can occur. These devices cannot detect the presence of hemolysis in the sample, and because of the characteristics of the sample, we cannot visually detect it either. Hemolysis can alter the result of different parameters, including potassium with abnormal high results or masking low levels (hypokalemia) when reporting normal concentrations. Severe hyperkalemia is associated with the risk of potentially fatal cardiac arrhythmia and demands emergency clinical intervention. Hemolysis can be considered the most frequent cause of pseudohyperkalemia (spurious hyperkalemia) or pseudonormokalemia and can be accompanied by a wrong diagnosis and an ensuing inappropriate clinical decision making. A complete review of the potential causes of falsely elevated potassium concentrations in blood is presented in this article. POCT programs properly led and organized by the clinical laboratory can help to prevent errors and their impact on patient care.

scholarly journals Evaluation of a Point-of-Care Ultrasound (POCUS) training course for Regional Anesthesiologists – A Single Institution’s Experience

2020 ◽  
Vol 1 (2) ◽  
pp. 1-7
Author(s):  
Alex K. Saltzman ◽  
Thuyvan H. Luu ◽  
Nicole Brunetti ◽  
James D. Beckman ◽  
Mary J. Hargett ◽  
...  
Keyword(s):  
Decision Making ◽  
Regional Anesthesia ◽  
Clinical Decision Making ◽  
Point Of Care ◽  
Clinical Decision ◽  
Left Ventricular ◽  
P Value ◽  
Point Of Care Ultrasound ◽  
Training Course ◽  
The Impact

Background and Objectives: Point-of-care ultrasound (POCUS) in the form of focused cardiac ultrasound (FOCUS) is a powerful clinical tool for anesthesiologists to supplement bedside evaluation and optimize cardiopulmonary resuscitation in the perioperative setting. However, few courses are available to train physicians. At Hospital for Special Surgery (HSS), from March of 2013 to May of 2016, nine basic Focused Assessed Transthoracic Echocardiography (FATE) training courses were held. A large percentage of the participants were practicing regional anesthesiologists or trainees in fellowship for regional anesthesia and acute pain. In this study, a survey was used to assess clinical utilization as well as potential barriers to use for regional anesthesiologists. Methods: Following IRB approval, 183 past participants of the basic FATE training course were contacted weekly from November 22nd, 2016, through January 3rd, 2017, via email and sent a maximum 40-item electronic survey hosted on REDCap. Responses were analyzed by a blinded statistician. Results: 92 participants responded (50%), and 65 of the 92 (70.7%) indicated they had regional anesthesiology training or practice regional anesthesia regularly. Of the total number of respondents, 50% (95% CI: 40.3%, 59.8%; P-value = 0.001) have used FOCUS to guide clinical decision making. Of the regional anesthesiologists, 27 (45.8%) have used FOCUS to guide clinical decision making with left ventricular function assessment (40.7%) and hypovolemia (39.0%) being the most common reasons. Regional anesthesiologists utilized FOCUS in the following settings: preoperatively (44.6%), intraoperatively (41.5%), postoperatively (41.5%), and in the Intensive Care Unit (40.0%). Limitations were due to lack of opportunities (52.3%), resources (36.9%), and comfort with performance (30.8%). 84.4% agreed that basic FOCUS training should be a required part of anesthesia residents or fellows’ curriculum. Conclusions: This study is the first formal evaluation of the impact of the implementation of a FOCUS training course on regional anesthesiologists’ current practice. Nearly 50% of regional anesthesiologists used FOCUS to guide clinical decision-making following formal training. The limitations to the use of FOCUS were a lack of relevant opportunities and resources. This evaluation of clinical use following training provides insight into how FOCUS is used by regional anesthesiologists and the limitations to implementation in the perioperative setting.

Point-of-Care Testing (DRAFT)

2018 ◽  
Author(s):  
Douglas E. Morgan
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Driving Forces ◽  
Clinical Laboratory ◽  
Point Of Care ◽  
Diagnostic Testing ◽  
Clinical Decision ◽  
Care Process ◽  
Point Of Care Testing ◽  
Subsequent Decrease

Point-of-care testing (POCT) is defined as medical diagnostic testing performed outside the clinical laboratory in close proximity to where the patient is receiving care. POCT is typically performed by non-laboratory personnel and the results are used for clinical decision making. When used appropriately, point-of-care testing (POCT) is a valuable resource during the rapid response system (RRS) activation. Advantages include shortened time between acquiring a sample from the patient and analysis of that sample and a subsequent decrease in time to clinical decision making. Disadvantages revolve largely around the cost of POCT. Driving forces behind the movement towards POCT include care process optimization, improvement of patient outcomes, changing regulatory requirements, and changes in the face of the workforce.

scholarly journals Point-of-care HbA1c testing in an urban primary care diabetes clinic in South Africa: a mixed methods feasibility study

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e045511
Author(s):  
Jennifer A Hirst ◽  
Kirsten Bobrow ◽  
Andrew Farmer ◽  
Jennie Morgan ◽  
Naomi Levitt
Keyword(s):  
South Africa ◽  
Type 2 Diabetes ◽  
Primary Care ◽  
Decision Making ◽  
Blood Glucose ◽  
Clinical Decision Making ◽  
Point Of Care ◽  
Clinical Decision ◽  
Glucose Testing

IntroductionMonitoring and treatment of type 2 diabetes in South Africa usually takes place in primary care using random blood glucose testing to guide treatment decisions. This study explored the feasibility of using point-of-care haemoglobin A1c (HbA1c) testing in addition to glucose testing in a busy primary care clinic in Cape Town, South Africa.Subjects185 adults aged 19–88 years with type 2 diabetes.Materials and methodsParticipants recruited to this mixed methods cohort study received a point-of-care HbA1c test. Doctors were asked to use the point-of-care HbA1c result for clinical decision-making. Qualitative interviews were held with clinical staff.ResultsPoint-of-care HbA1c test results were obtained for 165 participants of whom 109 (65%) had poor glycaemic control (>8% HbA1c, 64 mmol/mol). Medical officers reported using a combination of HbA1c and blood glucose 77% of the time for clinical decision-making. Nurses found the analyser easy to use and doctors valued having the HbA1c result to help with decision-making.DiscussionOur results suggest that 30% of patients may have received inappropriate medication or not received necessary additional medication if random blood glucose alone had been used in routine appointments. Clinicians valued having access to the HbA1c test result to help them make treatment decisions.

A Prediction Model for Positive Infant Meconium and Urine Drug Tests

2020 ◽  
Author(s):  
Elizabeth A. Simpson ◽  
David A. Skoglund ◽  
Sarah E. Stone ◽  
Ashley K. Sherman
Keyword(s):  
Prediction Model ◽  
Drug Testing ◽  
Clinical Decision Making ◽  
Drugs Of Abuse ◽  
Clinical Decision ◽  
P Value ◽  
Test Characteristics ◽  
Drug Test ◽  
Urine Drug ◽  
Urine Drug Test

Objective This study aimed to determine the factors associated with positive infant drug screen and create a shortened screen and a prediction model. Study Design This is a retrospective cohort study of all infants who were tested for drugs of abuse from May 2012 through May 2014. The primary outcome was positive infant urine or meconium drug test. Multivariable logistic regression was used to identify independent risk factors. A combined screen was created, and test characteristics were analyzed. Results Among the 3,861 live births, a total of 804 infants underwent drug tests. Variables associated with having a positive infant test were (1) positive maternal urine test, (2) substance use during pregnancy, (3) ≤ one prenatal visit, and (4) remote substance abuse; each p-value was less than 0.0001. A model with an indicator for having at least one of these four predictors had a sensitivity of 94% and a specificity of 69%. Application of this screen to our population would have decreased drug testing by 57%. No infants had a positive urine drug test when their mother's urine drug test was negative. Conclusion This simplified screen can guide clinical decision making for determining which infants should undergo drug testing. Infant urine drug tests may not be needed when a maternal drug test result is negative. Key Points

scholarly journals Point-of-Care Testing-the Key in the Battle against SARS-CoV-2 Pandemic

Micromachines ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1464
Author(s):  
Florina Silvia Iliescu ◽  
Ana Maria Ionescu ◽  
Larisa Gogianu ◽  
Monica Simion ◽  
Violeta Dediu ◽  
...  
Keyword(s):  
Clinical Decision Making ◽  
Point Of Care ◽  
Low Cost ◽  
Diagnostic Testing ◽  
Clinical Decision ◽  
Rapid Screening ◽  
Diagnostic Tools ◽  
Point Of Care Testing ◽  
Qrt Pcr ◽  
User Friendly

The deleterious effects of the coronavirus disease 2019 (COVID-19) pandemic urged the development of diagnostic tools to manage the spread of disease. Currently, the “gold standard” involves the use of quantitative real-time polymerase chain reaction (qRT-PCR) for SARS-CoV-2 detection. Even though it is sensitive, specific and applicable for large batches of samples, qRT-PCR is labour-intensive, time-consuming, requires trained personnel and is not available in remote settings. This review summarizes and compares the available strategies for COVID-19: serological testing, Point-of-Care Testing, nanotechnology-based approaches and biosensors. Last but not least, we address the advantages and limitations of these methods as well as perspectives in COVID-19 diagnostics. The effort is constantly focused on understanding the quickly changing landscape of available diagnostic testing of COVID-19 at the clinical levels and introducing reliable and rapid screening point of care testing. The last approach is key to aid the clinical decision-making process for infection control, enhancing an appropriate treatment strategy and prompt isolation of asymptomatic/mild cases. As a viable alternative, Point-of-Care Testing (POCT) is typically low-cost and user-friendly, hence harbouring tremendous potential for rapid COVID-19 diagnosis.

Point of Care Ultrasound in Geriatric Patients: Prospective Evaluation of a Portable Handheld Ultrasound Device

2019 ◽  
Vol 41 (03) ◽  
pp. 308-316 ◽  
Author(s):  
Eckhart Fröhlich ◽  
Katharina Beller ◽  
Reinhold Muller ◽  
Maria Herrmann ◽  
Ines Debove ◽  
...  
Keyword(s):  
Decision Making ◽  
Geriatric Patients ◽  
Clinical Decision Making ◽  
Point Of Care ◽  
False Negative ◽  
Clinical Decision ◽  
Point Of Care Ultrasound ◽  
Handheld Device ◽  
Ultrasound Device ◽  
Handheld Ultrasound

Abstract Purpose The aim of the current study was to evaluate point of care ultrasound (POCUS) in geriatric patients by echoscopy using a handheld ultrasound device (HHUSD, VScan) at bedside in comparison to a high-end ultrasound system (HEUS) as the gold standard. Materials and Methods Prospective observational study with a total of 112 geriatric patients. The ultrasound examinations were independently performed by two experienced blinded examiners with a portable handheld device and a high-end ultrasound device. The findings were compared with respect to diagnostic findings and therapeutic implications. Results The main indications for the ultrasound examinations were dyspnea (44.6 %), fall (frailty) (24.1 %) and fever (21.4 %). The most frequently found diagnoses were cystic lesions 32.1 % (35/109), hepatic vein congestion 19.3 % (21/109) and ascites 13.6 % (15/110). HHUSD delivered 13 false-negative findings in the abdomen resulting in an “overall sensitivity” of 89.5 %. The respective “overall specificity” was 99.6 % (7 false-positive diagnoses). HHUSD (versus HEUS data) resulted in 13.6 % (17.3 %) diagnostically relevant procedures in the abdomen and 0.9 % (0.9 %) in the thorax. Without HHUSD (HEUS) 95.7 % (100 %) of important pathological findings would have been missed. Conclusion The small HHUSD tool improves clinical decision-making in immobile geriatric patients at the point of care (geriatric ward). In most cases, HHUSD allows sufficiently accurate yes/no diagnoses already at the bedside, thereby clarifying the leading symptoms for early clinical decision-making.

Altering standard admission order sets to promote clinical laboratory stewardship: a cohort quality improvement study

2019 ◽  
Vol 28 (10) ◽  
pp. 846-852 ◽  
Author(s):  
Benjamin Leis ◽  
Andrew Frost ◽  
Rhonda Bryce ◽  
Andrew W Lyon ◽  
Kelly Coverett
Keyword(s):  
Clinical Decision Making ◽  
Clinical Laboratory ◽  
Clinical Decision ◽  
Thyroid Stimulating Hormone ◽  
Clinical Indication ◽  
Medical Overuse ◽  
Order Sets ◽  
Cohort Quality ◽  
Careful Design ◽  
Order Set

BackgroundCareful design of preprinted order sets is needed to prevent medical overuse. Recent work suggests that removing a single checkbox from an order set changes physicians’ clinical decision-making.Local problemDuring a 2-month period, our coronary care unit (CCU) ordered almost eight times as many serum thyroid-stimulating hormone (TSH) tests as our neighbouring intensive care unit, many without a reasonable clinical basis. We postulated that we could reduce inappropriate testing and improve clinical laboratory stewardship by removing the TSH checkbox from the CCU admission order set.MethodsAfter we retrospectively evaluated CCU TSH ordering before intervention, the checkbox was removed from the CCU admission order set. Twelve weeks later, we commenced a prospective 2-month assessment of TSH testing and clinical sequelae of thyroid disease among all CCU admissions. If clinical indications were absent or testing had occurred within 6 weeks, TSH requests were labelled as ‘inappropriate’.ResultsPhysician ordering and, specifically, inappropriate ordering decreased substantially after the intervention. In 2016 among physician-ordered TSH tests, 60.6% (66/109) were inappropriate; in 2017 this decreased to 20% (2/10, p=0.01). Overall, the net effect of checkbox removal saw the decrease in TSH testing without clinical indication outweigh an increase in missed testing where indications appear to exist.ConclusionsProvision of an optional checkbox for a laboratory test in an admission order set can promote overuse of laboratory resources. Simple removal of a checkbox may dramatically change test ordering patterns and promote clinical laboratory stewardship. Given our reliance on order sets, particularly by trainees, changes to order sets must be cautious to assure guideline-directed care is maintained.

scholarly journals Factors affecting clinical decision-making in inflammatory bowel disease and the role of point-of-care calprotectin

2018 ◽  
Vol 11 ◽  
pp. 1756283X1774473 ◽  
Author(s):  
Yannick Derwa ◽  
Christopher J.M. Williams ◽  
Ruchit Sood ◽  
Saqib Mumtaz ◽  
M. Hassan Bholah ◽  
...  
Keyword(s):  
Decision Making ◽  
Inflammatory Bowel Disease ◽  
Disease Activity ◽  
Medical Therapy ◽  
Bowel Disease ◽  
Clinical Decision Making ◽  
Point Of Care ◽  
Clinical Decision ◽  
Mucosal Inflammation ◽  
Inflammatory Bowel

Objectives: Patient-reported symptoms correlate poorly with mucosal inflammation. Clinical decision-making may, therefore, not be based on objective evidence of disease activity. We conducted a study to determine factors associated with clinical decision-making in a secondary care inflammatory bowel disease (IBD) population, using a cross-sectional design. Methods: Decisions to request investigations or escalate medical therapy were recorded from outpatient clinic encounters in a cohort of 276 patients with ulcerative colitis (UC) or Crohn’s disease (CD). Disease activity was assessed using clinical indices, self-reported flare and faecal calprotectin ≥ 250 µg/g. Demographic, disease-related and psychological factors were assessed using validated questionnaires. Logistic regression was performed to determine the association between clinical decision-making and symptoms, mucosal inflammation and psychological comorbidity. Results: Self-reported flare was associated with requesting investigations in CD [odds ratio (OR) 5.57; 95% confidence interval (CI) 1.84–17.0] and UC (OR 10.8; 95% CI 1.8–64.3), but mucosal inflammation was not (OR 1.62; 95% CI 0.49–5.39; and OR 0.21; 95% CI 0.21–1.05, respectively). Self-reported flare (OR 7.96; 95% CI 1.84–34.4), but not mucosal inflammation (OR 1.67; 95% CI 0.46–6.13) in CD, and clinical disease activity (OR 10.36; 95% CI 2.47–43.5) and mucosal inflammation (OR 4.26; 95% CI 1.28–14.2) in UC were associated with escalation of medical therapy. Almost 60% of patients referred for investigation had no evidence of mucosal inflammation. Conclusions: Apart from escalation of medical therapy in UC, clinical decision-making was not associated with mucosal inflammation in IBD. The use of point-of-care calprotectin testing may aid clinical decision-making, improve resource allocation and reduce costs in IBD.

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