The economic and clinical efficiency of point-of-care testing for critically ill patients: a decision-analysis model

Laboratory interpretative comments and guidance: clinical and operative outcomes on moderate to severe hyponatraemia patient management

AIMS

Hyponatraemia is the most common body fluid disorders but often goes unnoticed. Our laboratory incorporated a standardised procedure to help clinicians detect moderate/severe hyponatraemia. The study aims were to evaluate the outcomes on patient care and clinicians' satisfaction.

METHODS

The study, observational and retrospective, included 1839 cases, adult and paediatric patients, with sodium concentration <130 mmol/L. The procedure consisted of interpretative comments in the emergency and core laboratories report and the point-of-care testing blood gas network report. We evaluated hyponatraemia length in two equal periods: before and after the implementation. We conducted a survey addressed to the staff of the clinical settings involved to know their satisfaction.

RESULTS

The median hyponatraemia length decreased significantly from 4.95 hours (2.08-16.57) in the first period to 2.17 hours (1.06-5.39) in the second period. The lack of hyponatraemia patients follow-up was significantly less after the procedure implementation. The survey was answered by 92 (60 senior specialists and 32 residents) out of 110 clinicians surveyed. Ninety of them (98%) answered positively.

CONCLUSIONS

We have demonstrated the reduction in the time for diagnosing and management by physicians, the higher uniformity in the time required to solve hyponatraemia episodes following our laboratory procedure and the clinicians' satisfaction.

Reducing Point-of-care Blood Gas Testing in the Intensive Care Unit through Diagnostic Stewardship: A Value Improvement Project

Introduction

Overutilization of point-of-care (POC) testing may reduce the overall value of care due to high-cost cartridges, need for staff training, and quality assurance requirements.

Methods

The Diagnostic Stewardship group at Cincinnati Children's Hospital Medical Center assembled a multidisciplinary team to reduce the use of POC blood gas testing by 20% in the pediatric intensive care unit (PICU). Key drivers of test overutilization included poor knowledge of cost, concern with testing turnaround time, and a lack of a standard definition of when a POC test was appropriate. We calculated weekly the outcome measure of POC blood gas tests per PICU patient-day and a balancing measure of blood gas result turnaround time using data extracted from the electronic medical record. Interventions focused on staff education, the establishment of a standard practice guideline for the use of POC testing, and improving turnaround time for laboratory blood gas testing.

Results

Over the baseline period starting July 2016, a median of 0.94 POC blood gas tests per PICU patient-day was ordered. After initial staff training, the rate was reduced to 0.60 tests per PICU patient-day and further reduced to 0.41 tests per PICU patient-day after a formal policy change was adopted. We have sustained this rate for 15 months through June 2018. Institutional direct cost savings were estimated to be $19,000 per year.

Conclusions

Our improvement initiative was associated with a significant and rapid reduction in the use of POC testing in the PICU. Interventions focused on cost awareness, and a formal guideline helped establish a consensus around appropriate utilization.

Agreement Between Serum Assays Performed in ED Point-of-Care and Hospital Central Laboratories

INTRODUCTION

Point-of-care (POC) testing allows for more time-sensitive diagnosis and treatment in the emergency department (ED) than sending blood samples to the hospital central laboratory (CL). However, many ED patients have blood sent to both, either out of clinical custom, or because clinicians do not trust the POC values. The objective of this study was to examine the level of agreement between POC and CL values in a large cohort of ED patients.

METHODS

In an urban, Level I ED that sees approximately 120,000 patients/year, all patients seen between March 1, 2013, and October 1, 2014, who had blood sent to POC and CL labs had levels of agreement measured between serum sodium, potassium, blood urea nitrogen (BUN), creatinine, and hematocrit. We extracted data from the hospital's clinical information system, and analyzed agreement with the use of Bland-Altman plots, defining both 95% confidence intervals (CIs) and more conservative CIs based on clinical judgment.

RESULTS

Out of 163,661 patients seen during the study period, 14,567 had blood samples sent both for POC and CL analysis. Using clinical criteria, the levels of agreement for sodium were 98.6% (within 5mg/dL), for potassium 90.7% (0.5 mmol/L), for BUN 89.0% (within 5 mg/dL), for creatinine 94.5% (within 0.3 mg/dL), for hematocrit 96.5% (within 5 g/dL).

CONCLUSION

Agreement between POC and CL values is excellent. Restricting the analysis to clinically important levels of agreement continues to show a high level of agreement. The data suggest that sending a serum sample to the hospital CL for duplicate assays is unnecessary. This may result in substantial savings and shorter ED lengths of stay.

Predictors of intraoperative testing in adults undergoing noncardiac surgery within a regional hospital system

BACKGROUND

The use of intraoperative testing is central to anesthesia practice, and point-of-care testing (POCT) is often used. Nevertheless, POCT is costly and its contribution to patient outcome is unknown. There is a lack of guidelines to describe which patients should undergo intraoperative testing or how results should be applied. As such, we undertook a historical cohort study evaluating intraoperative testing practices within our region where POCT is not used.

METHODS

In 2012, we obtained a random sample of 1,000 adult patients undergoing noncardiac surgery in three of our health system hospitals. Patient, surgical, and testing details were extracted, and the surgical procedures were categorized using the Johns Hopkins risk guidelines. Our primary outcome was the administration of at least one intraoperative test. We used a multivariable logistic regression model to identify factors associated with testing and described the time from ordering the tests to receiving the results using descriptive statistics.

RESULTS

Study results showed that 110/1,000 (11.0%) patients underwent 413 diagnostic tests. Complete blood count was the most commonly administered test (36.3%), and the mean (standard deviation) time to obtain all test results was 29.9 (19.9) min. High-risk procedures were associated with an odds ratio (OR) of 12.3 (95% confidence interval [CI], 8.3 to 18.2; P < 0.001). Other predictors of intraoperative testing included emergency surgery (OR, 3.8; 95% CI, 2.0 to 7.2; P < 0.001), number of comorbidities (OR, 1.1; 95% CI, 1.0 to 1.2; P = 0.03), and duration of surgery (OR, 2.3; 95% CI, 1.8 to 2.9; P < 0.001).

CONCLUSION

Intraoperative testing is common and more likely in patients undergoing high-risk surgical procedures. In a central laboratory system, there is substantial time from ordering the tests to receiving the results. The clinical impact of this delay is unknown. Further evaluation is required regarding the relationship between the time required for intraoperative test results and perioperative outcomes.

Point-of-care testing: where is the evidence? A systematic survey

Point-of-care testing (POCT) has had rapid technological development and their use is widespread in clinical laboratories to assure reduction of turn-around-time and rapid patient management in some clinical settings where it is important to make quick decisions. Until now the papers published about the POCT have focused on the reliability of the technology used and their analytical accuracy. We aim to perform a systematic survey of the evidence of POCT efficacy focused on clinical outcomes, selecting POCT denoted special analytes characterized by possible high clinical impact. We searched in Medline and Embase. Two independent reviewers assessed the eligibility, extracted study details and assessed the methodological quality of studies. We analyzed 84 studies for five POCT instruments: neonatal bilirubin, procalcitonin, intra-operative parathyroid hormone, troponin and blood gas analysis. Studies were at high risk of bias. Most of the papers (50%) were studies of correlation between the results obtained by using POCT instruments and those obtained by using laboratory instruments. These data showed a satisfactory correlation between methods when similar analytical reactions were used. Only 13% of the studies evaluated the impact of POCT on clinical practice. POCT decreases the time elapsed for making decisions on patient management but the clinical outcomes have never been adequately evaluated. Our work shows that, although POCT has the potential to provide beneficial patient outcome, further studies may be required, especially for defining its real utility on clinical decision making.

The future of point-of-care testing in emergency departments

Emergency physicians and administrators continue to face operational challenges as they attempt to increase emergency department (ED) efficiency and throughput to meet the growing demand for emergency health services. Point-of-care (POC) testing technology can provide clinicians with accurate and reliable results with at least a 50% reduction in turnaround time. Despite the near perfect alignment of POC technology goals with ED operational strategy, there has been a relatively slow adoption of comprehensive POC systems. The authors discuss current market trends for the POC products in the ED and review trends in outcomes data (including operational, clinical and financial). The authors also discuss observed managerial obstacles to implementation. The goal of this paper is to provide readers with a business psychology perspective on the current challenges that organizations face in adopting a new technology and provide an evaluation of the key drivers that influence institutional-level decisions to implement an ED-based POC system. The reader will gain an understanding of the dynamic forces that are slowing the adoption of POC technology. Also, the reader is provided with the authors' future perspectives for POC testing in emergency medicine. The current healthcare system is putting a lot of pressure on EDs to be able to provide efficient care using advanced diagnostic tests. Clinicians and administrators alike must understand the gaps between the clinician's perceived benefit of POC testing and the inconsistent literature on the operational and clinical outcomes before adopting POC systems in ED.

Evaluation of microfluidic blood gas sensors that combine microdialysis and optical monitoring

It is shown that microdialysis-based blood gas (pH, pCO2 and pO2) optical sensors are stable for durations of several hours in blood. This performance is uncommon with many types of membrane sensor. Microdialysis techniques can be designed to ensure that the sweep microflow samples are in biochemical equilibrium with the bulk media, even after hours of exposure to the complex composition of blood. The rate of diffusion through the membrane is not the determining factor in sensor reading, as it is with other sensor techniques that consume the analyte. The sweep fluid 95% equilibration times for microdialysis fibres were approximately double in blood compared with buffer, reflecting slower diffusion of ions. This is in contrast to the equilibration of gases through silicone hollow-fibre membranes in blood, which showed unchanged equilibration times between blood and buffer. Sensor measurements correlate well with a blood gas analyser for up to 9 h in blood, with correlation coefficients of 0.973 for the pO2 sensor 0.974 for the pCO2 sensor and 0.947 for the pH sensor. In blood, the sensors have precisions of 1.7 mmHg, 3.7 mmHg and 0.019 pH units and bias levels of -0.7 mmHg, 1.2 mmHg and 0.002 pH units, for pO2, pCO2 and pH, respectively.

Point-of-care testing: an introduction

OBJECTIVE

To review available literature and provide perspective on point-of-care testing, focusing on the impact it has on treatment outcomes in patient care, the impact it has on the costs of patient care, and the role it has in the delivery of pharmaceutical care.

DATA SOURCES

Information was retrieved from MEDLINE English literature searches using PubMed (1965-August 2003) and included search terms of point-of-care testing, near patient testing, pharmaceutical care, pharmacists, outcomes, and economics. Additionally, references from retrieved articles were reviewed to identify literature not detected by literature searches.

STUDY SELECTION AND DATA EXTRACTION

Comparative studies, demonstration project reports, and systematic reviews were selected. Other related resources, such as government documents, relevant legislation, and government regulations, were included. Emphasis was placed on comparative studies and demonstration project reports. In the absence of these data, other resources were included.

DATA SYNTHESIS

Point-of-care testing devices and technology are increasingly used in the delivery of care and therapeutic decision making. No studies have evaluated the impact of point-of-care testing, by itself, on patient care and outcomes. All studies have incorporated point-of-care testing with changes in the way patient care is delivered and have shown significant improvements when this approach is taken. The cost of point-of-care testing is greater than traditional laboratory testing, but the increased cost may be offset by improvements in the management of patient care, improvements in patient outcomes, and decreased utilization of the healthcare system. Point-of-care testing has been used successfully by pharmacists in disease management programs. Various government regulations and legislation impact the use of point-of-care testing.

CONCLUSIONS

Limited data indicate that point-of-care testing, when combined with changes in healthcare delivery systems, may improve patient outcomes and decrease the overall cost of health care. Pharmacists have used point-of-care testing in programs designed to improve patient care but must carefully consider regulations and laws that govern the use of these devices. There is a great need for additional investigation into the use of point-of-care testing in patient care.

Medical informatics in the intensive care unit: overview of technology assessment

Effective patient care in the intensive care unit (ICU) depends on the ability of clinicians to process large amounts of clinical and laboratory data. Recently, medical informatics applications have been developed to store and display patient information and assist clinical decision making. Despite the proliferation of these systems and their potential to improve patient care, there are no comprehensive health technology assessments incorporating considerations of safety, functionality, technical performance, clinical effectiveness, economics, and organizational implications. The objectives and methods of informatics evaluations depend on the type of application and the stage of development. Qualitative and quantitative nonrandomized evaluations of comprehensive information management systems like electronic medical records and picture archiving and communications systems should concentrate on technical and functional issues. Specific applications like clinical decision support systems and computerized patient care systems are designed to improve patient outcomes and clinical performance; randomized controlled trials (RCTs) to assess clinical effectiveness are important in their assessment. Although studies of these applications in the ICU setting are increasing, there are currently very few published randomized trials.

Noninvasive monitoring in the pediatric intensive care unit

The best ICU monitors are physicians and nurses, who integrate all of the physiologic parameters of patients with the known pathophysiology of the disease process. Over-reliance on raw electronic data, with their inherent errors, jeopardizes the safe and efficient care of patients. Data must be interpreted in the context of the history, repetitive physical examinations, response to therapy, and a background of experience. New modalities and the application of artificial intelligence may facilitate the interpretation of data, but the role of the bedside medical practitioner remains as the heart of pediatric critical care.

Point-of-care testing in the United Kingdom

Point-of-care testing in the United Kingdom is currently at the embryo stage of development, and is approximately 10 years behind the United States in incorporation and application into clinical practice. Safeguards to ensure proper use are not in place within the UK at present, and there is no legal requirement for POCT users to be proficiency tested by an internal or external body before they can routinely use the equipment. Internal quality control and external quality assessment are not statutory requirements within the UK, leading to unease regarding the extent and range of point-of-care tests offered and whether the results are a true biochemical representation of the patient's clinical condition. Cost-benefit analysis is very sparse, but faster turnaround times can only lead to more rapid treatment of the patient, which will lead to fewer clinical complications. This will result in decreased hospital admissions by the emergency department and reduced length of hospital stay in ward-based patients. National Health Service (NHS) accountants will see this, as the way forward, as fewer patients being admitted into hospital and length of stay reduction will result in decreased expenditure by the service provider.

Point of care diagnostics and networks

The new paradigm of POCT as integrated into the ICU will allow for an improved and more efficient critical care workplace and possibly improvements in outcome and costs. Technologic advances in POCT will focus on enhancements of current devices, connectivity, and data management and on the introduction of novel diagnostic and therapeutic approaches. It is hoped that in the future the regulatory, laboratory, and L/HIS communities will recognize the need to accept, integrate, accommodate, and expand POCT, thereby promoting bedside diagnostics. For ongoing follow-up of the myriad of POCT projects, refer to the POCT websites listed in Table 1.

Status of point-of-care testing: promise, realities, and possibilities

Point-of-care testing (POCT) has evolved from the demand for analytical information more rapidly than is available from central laboratories. By bringing the analysis closer to the patient several process steps have been eliminated, facilitating a shorter time to result and faster management response with improved outcomes. Thus benefits include better therapeutic turnaround times, decreased blood loss as a result of reduced phlebotomy secondary to clinical improvement, and diminished resource utilization. These advantages depend on acceptable analytical performance in comparison with central laboratory methods and in relation to clinical criteria. Generally these requirements are met but there are problems particularly with atypical specimens. Outcomes and cost-benefit analyses have been difficult to perform and evaluate. Given the multitude of participants, quality assurance and program management are recognized as resource intensive. However, recognition of problem areas is driving continuous improvement and we envisage expansion of this paradigm.

Performance of the radiometer OSM3 and ABL505 blood gas analysers for determination of sodium, potassium and haemoglobin concentrations

We have compared results obtained from two widely used ward-based blood gas analysers, the Radiometer OSM3 and ABL505, with standard laboratory analysers, for haemoglobin, sodium and potassium measurement in critically ill adult patients. During the study, paired samples for analysis were obtained from 81 patients for haemoglobin, 115 patients for sodium and 95 patients for potassium. There was good agreement between the ward and the laboratory analysers in terms of the mean results for each test. However, the limits of agreement for the ward-based analysers were wide, suggesting that their results should be used with caution.

Point-of-care testing: the views of the working group of the Dutch Association of Clinical Chemistry

There is clearly a demand for near-patient laboratory testing. Modern technological developments support its implementation, but these are not the only preconditions that need to be satisfied in order to successfully introduce decentralized testing. In part 2 of this paper we give a definition of decentralized testing. Part 3 presents the advantages and disadvantages. This list is a summary taken from the suggested literature. Part 4 examines the formal position of the clinical chemist. Of major importance to the situation in the Netherlands are the Care Institutions Quality Act and the Individual Health Care Professions Act. Part 5 discusses professional standards. Part 6 outlines practical considerations which might support the implementation of decentralized testing. The clinical chemist should play an active role in drawing up a discussion paper for his own hospital.