Unnecessary repeat requesting of tests: an audit in a government hospital immunology laboratory

Managing Resource Utilization Cost of Laboratory Tests for Patients on Chemotherapy in Johns Hopkins Aramco Healthcare

Introduction

Laboratory testing is a fundamental diagnostic and prognostic tool to ensure the quality of healthcare, treatment, and responses. This study aimed to evaluate the cost of laboratory tests performed for patients undergoing chemotherapy treatment in the oncology treatment center at Johns Hopkins Aramco Healthcare in Saudi Arabia. Additionally, we aimed to reduce the cost of unnecessary laboratory tests in a 1-year period.

Methods

This was a quality improvement study with a quasi-experimental design using DMAIC methodology. The intervention strategy involved educating staff about adhering to the British Columbia Cancer Agency (BCCA) guidelines when ordering laboratory tests for chemotherapy patients, then integrating those guidelines into the electronic health record system. Data were collected for 200 randomly selected cases with 10 different chemotherapy protocols before and after the intervention. A paired t test was used to analyze differences in mean cost for all laboratory tests and unnecessary testing before and after the intervention.

Results

A significant cost reduction was achieved for unnecessary laboratory tests (77%, p < 0.01) when following the BCCA guidelines. In addition, the mean cost of all laboratory tests (including necessary and unnecessary) was significantly reduced by 45.5% (p = 0.023).

Conclusion

Lean thinking in clinical practice, realized by integrating a standardized laboratory test guided by BCCA guidelines into the electronic health record, significantly reduced financial costs within 1 year, thereby enhancing efficient resource utilization in the organization. This quality improvement project may serve to increase awareness of further efforts to improve resource utilization for other oncology treatment protocols.

Utility of repeat extractable nuclear antigen antibody testing: a retrospective audit

OBJECTIVES

Autoantibodies to ENA are frequently ordered during the workup of suspected autoimmune connective tissue diseases. There are no current guidelines for repeat test ordering. The objective of this study was to assess the utility of repeat ENA testing after an initial negative result.

METHODS

A retrospective study was conducted in a single, multicentre tertiary health network in Melbourne, Australia. Results of all ENA tests were extracted from the hospital laboratory information system. For patients who had a change in ENA result from negative to positive, clinical information was obtained from the hospital records regarding new diagnosis of an ANA-associated rheumatic disease (AARD).

RESULTS

A total of 23 438 ENA tests were performed in 19 603 patients from 29 July 2013 to 28 September 2020. In total, 20 918 (89.2%) were negative with 215 (0.9%) being equivocal. Of the 2305 positive tests, the most common ENA auto-antibody specificity detected was anti-Ro52 (1185, 51.4%). A total of 2636 of 19 603 patients (13.4%) had more than one ENA test performed during the study period. Of these, most (2523, 95.7%) had stable ENA results with no change compared with the first test. Only 53 patients (2.2%) had an ENA result that changed from negative to positive. Excluding patients with pre-existing rheumatic conditions and those under 18, there were five new AARDs found in the remaining 34 patients.

CONCLUSION

Repeat ENA test results rarely change or result in a new diagnosis of an AARD, with repeated testing only warranted if there is a change in clinical manifestations.

Error Evaluation in the Laboratory Testing Process and Laboratory Information Systems

Introduction: The laboratory testing process consists of five analysis phases featuring the total testing process framework. Activities in laboratory process, including those of testing, are error-prone and affect the use of laboratory information systems. This study seeks to identify error factors related to system use and the first and last phases of the laboratory testing process using a proposed framework known as total testing process-laboratory information systems. Materials and Methods: We conducted a qualitative case study in two private hospitals and a medical laboratory. We collected data using interviews, observations, and document analysis methods involving physicians, nurses, an information technology officer, and the laboratory staff. We employed the proposed framework and Lean problem-solving tools namely Value Stream Mapping and A3 for data analysis. Results: Errors in laboratory information systems and the laboratory testing process were attributed to failure to fulfill user requirements, poor cooperation between the information technology unit and laboratory, the inconsistency of software design in system integration, errors during inter-system data transmission, and lack of motivation in system use. The error factors are related to system development elements, namely, latent failures that considerably affected the information quality and system use. Errors in system development were also attributed to poor service quality. Conclusion: Complex laboratory testing process and laboratory information systems require rigorous evaluation in minimizing errors and ensuring patient safety. The proposed framework and Lean approach are applicable for evaluating the laboratory testing process and laboratory information systems in a rigorous, comprehensive, and structured manner.

Potentially redundant repeat liver function test ordering practices in australian hospitals: A 5-year multicentre retrospective observational study

BACKGROUND

Repeat Liver Function Tests (LFTs) are often necessary for monitoring purposes, but retesting within a short time interval may suggest potentially redundant repeat test (PRRT) ordering practices. We aimed to determine the proportion of potentially redundant repeat LFT ordering and identify associated factors in hospitals.

METHODS

A 5-year (2014-2018) retrospective cohort study in six hospitals in New South Wales, Australia. A total of 131 885 patient admissions with repeat LFTs in the general ward (n = 102 852) and intensive care unit (ICU) (n = 29 033) met the inclusion criteria. Existing guidelines do not support retesting LFT for at least 48-72 hours. We used 24 hours as a conservative minimum retesting interval to examine PRRT ordering. We fit binary logistic regression to identify factors associated with PRRT ordering in two conditions with the highest repeat LFTs.

RESULTS

There were a total of 298 567 repeat LFTs (medians of 2 repeats/admission and retesting interval of 25.6 hours) in the general ward and 205 929 (medians of 4 repeats/admission and retesting interval of 24.1 hours) in the ICU. The proportions of PRRT ordering were 35.2% (105 227/298 567) and 47.7% (98 307/205 929) in the general ward and ICU, respectively. The proportions of patients who received at least one PRRT were 52.3% (53 766/102 852) and 83.9% (24 365/29 033) in the general ward and ICU, respectively. Age, gender and the number of comorbidities and procedures were associated with the likelihood of ordering PRRT depending on the settings.

CONCLUSION

Repeat LFT testing is common in Australian hospitals, often within 24 hours, despite guidelines not supporting too-early repeat testing. Further research should be conducted to understand whether better adherence to existing guidelines is required, or if there is any case for guidelines to be updated based on certain patient subpopulations.

Defining Data Migration Across Multidisciplinary Ambulatory Clinics Using Participatory Design

OBJECTIVE

This study aimed to develop an institutional approach for defining data migration based on participatory design principles.

METHODS

We outline a collaborative approach to define data migration as part of an electronic health record (EHR) transition at an urban hospital with 20 ambulatory clinics, based on participatory design. We developed an institution-specific list of data for migration based on physician end-user feedback. In this paper, we review the project planning phases, multidisciplinary governance, and methods used.

RESULTS

Detailed data migration feedback was obtained from 90% of participants. Depending on the specialty, requests for historical laboratory values ranged from 2 to as many as 145 unique laboratory types. Lookback periods requested by physicians varied and were ultimately assigned to provide the most clinical data. This clinical information was then combined to synthesize an overall proposed data migration request on behalf of the institution.

CONCLUSION

Institutions undergoing an EHR transition should actively involve physician end-users and key stakeholders. Physician feedback is vital for developing a clinically relevant EHR environment but is often difficult to obtain. Challenges include physician time constraints and overall knowledge about health information technology. This study demonstrates how a participatory design can serve to improve the clinical end-user's understanding of the technical aspects of an EHR implementation, as well as enhance the outcomes of such projects.

Development of an Artificial Intelligence-Based Automated Recommendation System for Clinical Laboratory Tests: Retrospective Analysis of the National Health Insurance Database

BACKGROUND

Laboratory tests are considered an essential part of patient safety as patients' screening, diagnosis, and follow-up are solely based on laboratory tests. Diagnosis of patients could be wrong, missed, or delayed if laboratory tests are performed erroneously. However, recognizing the value of correct laboratory test ordering remains underestimated by policymakers and clinicians. Nowadays, artificial intelligence methods such as machine learning and deep learning (DL) have been extensively used as powerful tools for pattern recognition in large data sets. Therefore, developing an automated laboratory test recommendation tool using available data from electronic health records (EHRs) could support current clinical practice.

OBJECTIVE

The objective of this study was to develop an artificial intelligence-based automated model that can provide laboratory tests recommendation based on simple variables available in EHRs.

METHODS

A retrospective analysis of the National Health Insurance database between January 1, 2013, and December 31, 2013, was performed. We reviewed the record of all patients who visited the cardiology department at least once and were prescribed laboratory tests. The data set was split into training and testing sets (80:20) to develop the DL model. In the internal validation, 25% of data were randomly selected from the training set to evaluate the performance of this model.

RESULTS

We used the area under the receiver operating characteristic curve, precision, recall, and hamming loss as comparative measures. A total of 129,938 prescriptions were used in our model. The DL-based automated recommendation system for laboratory tests achieved a significantly higher area under the receiver operating characteristic curve (AUROCmacro and AUROCmicro of 0.76 and 0.87, respectively). Using a low cutoff, the model identified appropriate laboratory tests with 99% sensitivity.

CONCLUSIONS

The developed artificial intelligence model based on DL exhibited good discriminative capability for predicting laboratory tests using routinely collected EHR data. Utilization of DL approaches can facilitate optimal laboratory test selection for patients, which may in turn improve patient safety. However, future study is recommended to assess the cost-effectiveness for implementing this model in real-world clinical settings.

Who repeats more laboratory tests inappropriately? Surgeons versus physicians

BACKGROUND

Inappropriate repeat testing is an objectively measurable type of health service overutilization which may harm patients.

OBJECTIVE

To evaluate both the frequency and cost of inappropriate repeat testing in a tertiary hospital in terms of specialties.

METHODS

This cross-sectional study was conducted in a tertiary hospital. Laboratory results of 26 tests ordered between 1 July 2014 and 30 June 2017 were evaluated retrospectively. Test that were repeated earlier than the minimum re-test interval were accepted as inappropriate repeat testing. After analyzing the descriptive statistics, the cluster analysis method was used to determine whether groups were formed within specialties.

RESULTS

Specialties form two clusters were found: the first cluster included specialties mostly from surgical science and the second cluster included specialties mostly from medical science. It was found that the cluster that includes mostly surgical specialties repeats laboratory tests at a higher rate but causes a waste of less resources, whereas the cluster that includes mostly medical specialties repeats laboratory tests at a lower rate but causes a waste of more resources due to a higher volume of test orders.

CONCLUSION

Due to the high rates of inappropriate repeat testing, surgical specialties seem to be the first target of intervention strategies, but medical specialties, which account for a higher volume of inappropriate repeat testing and higher unnecessary cost, should be the primary target of intervention strategies.

Minimum retesting intervals in practice: 10 years experience

Background

Minimum retesting intervals (MRI) are a popular demand management solution for the identification and reduction of over-utilized tests. In 2011 Association of Clinical Biochemistry and Laboratory Medicines (ACB) published evidence-based recommendations for the use of MRI.

Aim

The aim of the paper was to review the use of MRI over the period since the introduction of these recommendations in 2011 to 2020 and compare it to previous published data between 2000-2010.

Methods

A multi-source literature search was performed to identify studies that reported the use of a MRI in the management or identification of inappropriate testing between the years prior to (2000–2010) and after implementation (2011–2020) of these recommendations.

Results

31 studies were identified which met the acceptance criteria (2000–2010 n=4, 2011–2020 n=27). Between 2000 and 2010 4.6% of tests (203,104/4,425,311) were identified as failing a defined MRI which rose to 11.8% of tests (2,691,591/22,777,288) in the 2011–2020 period. For those studies between 2011 and 2020 reporting predicted savings (n=20), 14.3% of tests (1,079,972/750,580) were cancelled, representing a total saving of 2.9 M Euros or 2.77 Euro/test. The most popular rejected test was Haemoglobin A1c which accounted for nearly a quarter of the total number of rejected tests. 13 out 27 studies used the ACB recommendations.

Conclusions

MRI are now an established, safe and sustainable demand management tool for the identification and management of inappropriate testing. Evidence based consensus recommendations have supported the adoption of this demand management tool into practice across multiple healthcare settings globally and harmonizing laboratory practice.

Evaluation and cost estimation of laboratory test overuse in 43 commonly ordered parameters through a Computerized Clinical Decision Support System (CCDSS) in a large university hospital

BACKGROUND

Computerized Clinical Decision Support Systems (CCDSS) have become increasingly important in ensuring patient safety and supporting all phases of clinical decision making. The aim of this study is to evaluate, through a CCDSS, the rate of the laboratory tests overuse and to estimate the cost of the inappropriate requests in a large university hospital.

METHOD

In this observational study, hospital physicians submitted the examination requests for the inpatients through a Computerized Physician Order Entry. Violations of the rules in tests requests were intercepted and counted by a CCDSS, over a period of 20 months. Descriptive and inferential statistics (Student's t-test and ANOVA) were made. Finally, the monthly comprehensive cost of the laboratory tests was calculated.

RESULTS

During the observation period a total of 5,716,370 requests were analyzed and 809,245 violations were counted. The global rate of overuse was 14.2% ± 3.0%. The most inappropriate exams were Alpha Fetoprotein (85.8% ± 30.5%), Chlamydia trachomatis Nucleic Acid Amplification (48.7% ± 8.8%) and Alkaline Phosphatase (20.3% ± 6.5%). The monthly cost of over-utilization was 56,534€ for basic panel, 14,421€ for coagulation, 4,758€ for microbiology, 432€ for immunology exams. All the exams, generated an estimated avoidable cost of 1,719,337€ (85,967€ per month) for the hospital.

CONCLUSIONS

The study confirms the wide variability in over-utilization rates of laboratory tests. For these reasons, the real impact of inappropriateness is difficult to assess, but the generated costs for patients, hospitals and health systems are certainly high and not negligible. It would be desirable for international medical communities to produce a complete panel of prescriptive rules for all the most common laboratory exams that is useful not only to reduce costs, but also to ensure standardization and high-quality care.

Weekend handover: Improving patient safety during weekend services

Clinical Handover has been identified as one of the most high-risk processes within medicine. Inadequate handover is a significant cause of avoidable adverse events across many hospitals. A likert-survey of the weekend handover system at a district general hospital demonstrated significant dissatisfaction amongst junior doctors. Intending to improve patient safety and reduce stress for on-call junior doctors, a weekend handover proforma was compiled according to the Royal College of Physicians and Surgeons guidelines. The proforma was trialed on six medical wards for six months with a before and after questionnaire being sent to doctors on the wards involved to determine the proforma's merits on a scale of 1 (least effective) to 10 (most effective). Reports subsequent to implementation demonstrated a 67% increase ease of identifying outstanding weekend jobs. 57% of doctors reported better understanding of their patient's diagnosis and management plan and 53% stated it was easier to identify the patients that required regular medical review over the weekend. Results also highlighted a 55% reported an increase in safety of weekend handovers (p<0.01). A closed loop audit of handover practice through the use of a standardised proforma showed improved quality, detail and consistency of handovers. The reduction in stress for junior doctors managing unknown patients with a clear concise plan, directed by a senior from the parent team during the week, has improved patient safety and doctor satisfaction.

Laboratory Test Utilization and Repeat Testing for Inpatients of Age 80 and Over in Australia: A Retrospective Observational Study

Introduction

Repeat laboratory testing is often necessary in hospitals. However, frequent blood draws can be harmful to older patients. The objective of this study was to identify the most frequently ordered laboratory tests and repeat testing rates for these tests among older inpatients.

Methods

A retrospective observational study of inpatients of age 80 years and over in 4 public hospitals in New South Wales, Australia, was conducted between 2008 and 2013. Proportions of laboratory tests and proportions of repeated tests among the most frequently used tests were reported.

Results

There were 42739 patients with 108003 admissions (56.2% women; 43.2% of ages 80–84). Of these admissions, 95.9% had a laboratory test, with 3012577 tests recorded. Five tests accounted for 62% of all tests and were present in 98.5% of admissions: electrolytes urea and creatinine (EUC; 18% of all tests ordered), complete blood count (CBC; 16.7%), calcium magnesium phosphate (CaMgPhos; 10.2%), liver function test (LFT; 9.0%), and C-reactive protein (CRP; 8.0%). Proportions of repeat tests for this group performed outside recommended minimum repeat intervals were 10.3% EUC, 8.9% CBC, 41.5% CRP, 68.2% CaMgPhos, and 65.2% LFT tests. An exponential increase in repeat testing for all 5 tests was observed around 24 h after a previous test.

Conclusion

Compliance with guidelines on repeat testing intervals among older patients is variable. A better understanding of the underlying reasons for repeat testing would allow targeting of interventions, including decision support, to improve laboratory use for older inpatients.

Effectiveness of minimum retesting intervals in managing repetitive laboratory testing: experience from a Croatian university hospital

Introduction

Inappropriate laboratory retesting can be addressed by implementing minimum retesting intervals (MRI). The aim of our study was to assess the effectiveness of the implemented MRI protocol for inpatients.

Materials and methods

Minimum retesting intervals were applied for 53 laboratory tests. The overall reduction of test requests, reduction in charges and reagent cost savings, frequency of MRI alert appearance as well as the rate of MRI acceptance and ignorance were calculated for a one-year period. Reasons for violating the MRI rule, hospital departments that contributed mostly to MRI rule violation, and the frequency of MRI violations between routine and emergency laboratory were evaluated.

Results

During the one-year period, 106,780 requests violated the MRI rule, which corresponds to 14.8% of all requests received. 13,843 requests were cancelled, yielding a 1.9% reduction of requested tests. High-volume tests, namely complete blood count, C-reactive protein, alanine aminotransferase, gamma-glutamyltransferase and total bilirubin, accounted for 65% of all generated alerts and had the highest alert ignorance (>85%). The highest cancellation rate was observed for tumor markers and autoimmunity tests, for most being at least 50%. Annual charge reduction was 62,641 EUR while reagent cost savings were 11,408 EUR. Tests performed in the emergency laboratory had a higher alert appearance than the same routine tests. The most common reason for MRI violation was clinical justification based on the patient's condition. Most frequently ignored MRI alerts were in the intensive care unit.

Conclusion

MRI implementation showed limited effectiveness in reducing testing repetition and achieving financial savings, yet provided the basis for future improvements.

Incidence and Diagnostic Yield of Repeat Urine Culture in Hospitalized Patients: an Opportunity for Diagnostic Stewardship

There is limited knowledge on the incidence, diagnostic yield, and cost associated with inappropriate repeat urine cultures. The factors that affect repeat urine culturing practices are not well understood. We conducted a retrospective study of adult inpatients who had ≥1 urine culture performed during their hospitalization between January 2015 and February 2018. We analyzed the proportion of inappropriate repeat urine cultures performed <48 h after the index culture. We defined an inappropriate repeat urine culture to be a repeat urine culture performed following a negative index culture or a repeat urine specimen obtained from the same urinary catheter. Overall, 28,141 urine cultures were performed on 21,306 patients. There were 2,060 (7.3%) urine cultures repeated in <48 h. Of these, 1,120 (54.4%) urine cultures were inappropriate. Predictors for inappropriate repeat urine cultures included collection of the initial urine sample for culture in the emergency department (adjusted odds ratio [aOR], 5.65; 95% confidence interval [CI], 4.70 to 6.78), male gender (aOR, 1.61; 95% CI, 1.42 to 1.84), congestive heart failure (aOR, 1.20; 95% CI, 1.03 to 1.38), and a longer hospital stay (aOR, 1.01 per day; 95% CI, 1.00 to 1.01). A patient with an index urine culture obtained from an indwelling catheter (aOR, 0.65; 95% CI, 0.53 to 0.80) was less likely to have an inappropriate repeat culture. Among 1,120 negative index urine cultures, only 4.7% of repeat cultures were positive for bacteriuria. The estimated laboratory charges for inappropriate repeat urine cultures were $16,800 over the study period. Among inpatients, over half of all urine cultures repeated in <48 h were inappropriate. This offers an opportunity for diagnostic stewardship and optimization of antimicrobial use.

Prevalence and associated factors of inappropriate repeat test

Background

The rate of laboratory test utilisation has been increasing unsustainably. Evaluating inappropriately repeated laboratory tests is promising because objective criteria are available to measure the rates while causes can be manipulated easily. In this study, we aimed to evaluate the prevalence, associated factors and financial burden of inappropriate repeat tests.

Methods

A cross-sectional study was conducted on the results of 26 types of laboratory tests recorded in a laboratory database of a tertiary hospital between 1 July 2014 and 30 June 2017. Minimum retest intervals were determined from the literature for each type of tests. If the time interval between the two tests was shorter than the minimum retest interval, then the later test was accepted an inappropriate repeat test. Binary logistic regression was performed after univariate analyses.

Results

Of a total of 673 794 tests, 109 370 (16.2%) were inappropriate repeat tests. Male gender, being ≥65 years old, being an inpatient, high-volume test and surgical clinic as the test-requesting clinic were associated with inappropriate repeat tests. Also, it was determined that US$66 761.3 had been wasted on inappropriate repeat tests for 3 years.

Discussion

There are several factors that increase the rate of inappropriate repeat tests. They should be considered during health policy making or planning interventions to reduce inappropriate repeat tests.

Going beyond audit and feedback: towards behaviour-based interventions to change physician laboratory test ordering behaviour

Studies indicate there are a variety of contributing factors affecting physician test ordering behaviour. Identifying these behaviours allows development of behaviour-based interventions. Methods Through a pilot study, the list of contributing factors in laboratory tests ordering, and the most ordered tests, were identified, and given to 50 medical students, interns, residents and paediatricians in questionnaire form. The results showed routine tests and peer or supervisor pressure as the most influential factors affecting physician ordering behaviour. An audit and feedback mechanism was selected as an appropriate intervention to improve physician ordering behaviour. The intervention was carried out at two intervals over a three-month period. Findings There was a large reduction in the number of laboratory tests ordered; from 908 before intervention to 389 and 361 after first and second intervention, respectively. There was a significant relationship between audit and feedback and the meaningful reduction of 7 out of 15 laboratory tests including complete blood count (p = 0.002), erythrocyte sedimentation rate (p = 0.01), C-reactive protein (p = 0.01), venous blood gas (p = 0.016), urine analysis (p = 0.005), blood culture (p = 0.045) and stool examination (p = 0.001). Conclusion The audit and feedback intervention, even in short duration, affects physician ordering behaviour. It should be designed in terms of behaviour-based intervention and diagnosis of the contributing factors in physicians' behaviour. Further studies are required to substantiate the effectiveness of such behaviour-based intervention strategies in changing physician behaviour.

Decreasing daily blood work in hospitals: What works and what doesn't

Recurrent, inappropriate laboratory testing is a costly and wasteful use of healthcare resources. Recognizing this problem, the American Board of Internal Medicine, Canadian Society of Internal Medicine, and the Canadian Association of Pathologist all supported the Choosing Wisely campaign to reduce laboratory investigations in patients who demonstrate clinical and laboratory stability. In this narrative, we review studies looking at a variety of approaches to reduce excessive testing including education, audit and feedback, computerized physician order entry system changes, and forcing functions. Each type of intervention has its own unique advantages and disadvantages, varying in complexity, disruptiveness, effectiveness, and sustainability. Before implementing any quality improvement project, it is important to analyze the local context to identify the root causes for the practice behavior and aim to use the minimal amount of intervention to achieve the desired result. Change is often incremental and will seldom occur with a single intervention or Plan-Do-Study-Act cycle. Garnering the support of opinion leaders and a quality improvement team will help make the process and intervention a success.

Primary care use of laboratory tests in Northern Ireland's Western Health and Social Care Trust: a cross-sectional study

OBJECTIVES

To describe the laboratory test ordering patterns by general practitioners (GPs) in Northern Ireland Western Health and Social Care Trust (WHSCT) and explore demographic and socioeconomic associations with test requesting.

DESIGN

Cross-sectional study.

SETTING

WHSCT, Northern Ireland. : Particip ANTS: 55 WHSCT primary care medical practices that remained open throughout the study period 1 April 2011-31 March 2016.

OUTCOMES

To identify the temporal patterns of laboratory test ordering behaviour for eight commonly requested clinical biochemistry tests/test groups in WHSCT. To analyse the extent of variations in laboratory test requests by GPs and to explore whether these variations can be accounted for by clinical outcomes or geographical, demographic and socioeconomic characteristics.

RESULTS

The median number of adjusted test request rates over 5 consecutive years of the study period decreased by 45.7% for urine albumin/creatinine ratio (p<0.000001) and 19.4% for lipid profiles (p<0.000001) while a 60.6%, 36.6% and 29.5% increase was observed for HbA_1c (p<0.000001), immunoglobulins (p=0.000007) and prostate-specific antigen (PSA) (p=0.0003), respectively. The between-practice variation in test ordering rates increased by 272% for immunoglobulins (p=0.008) and 500% for HbA_1c (p=0.0001). No statistically significant relationship between ordering activity and either demographic (age and gender) and socioeconomic factors (deprivation) or Quality and Outcome Framework scores was observed. We found the rural-urban differences in between-practice variability in ordering rates for lipid profiles, thyroid profiles, PSA and immunoglobulins to be statistically significant at the Bonferroni-adjusted significance level p<0.01.

CONCLUSIONS

We explored potential factors of the interpractice variability in the use of laboratory tests and found that differences in requesting activity appear unrelated to either demographic and socioeconomic characteristics of GP practices or clinical outcome indicators.

Reducing test request for anti-thyroglobulin and anti-thyroid peroxidase antibodies: trends before and after interventions based on rejection rules and profile management

Introduction

The objective of this study was to identify trends in requests for anti-thyroid peroxidase antibodies (TPOab) and anti-thyroglobulin antibodies (TGab) tests before and after applying set of interventions based on rejection rules and profile management.

Materials and methods

Trend analysis was made at semester time intervals (from May-October 2010 to May-October 2017), before and after the intervention semester (May-October 2016). Number of tests (N) TPOab and TGab / 1000 total requests based on total N of both tests and total N of biochemical analysis laboratory requests, was calculated. To find out where the interventions had more impact we distinguished N of requests between Primary Care (PC) and Specialized Care (SC). A joinpoint regression analysis was used to determine time segments and time points in these indicators where the trend changed.

Results

Trend analysis of the request of TPOab and TGab showed two clearly differentiated trend lines with a statistically significant Joinpoint (P < 0.001) with an increase in each semester from May 2010 of 7.4% and 7.5% respectively, to the semester of the interventions where there was a decrease of - 45% and - 61% located mainly in PC. Trend analysis in SC setting did not show any Joinpoint and any trend line.

Conclusions

Results showed that applied interventions enabled change of trend for TPOab and TGab test requests, especially in PC where the interventions proved to be the most successful.

The role of a best practice alert in the electronic medical record in reducing repetitive lab tests

Background

The recommendations of the American Board of Internal Medicine Foundation’s “Choosing Wisely^®” initiative recognize the importance of improving the appropriateness of testing behavior and reducing the number of duplicate laboratory tests.

Objective

To assess the effectiveness of an electronic medical record Best Practice Alert (BPA or “pop up”) intervention aimed at reducing duplicate laboratory tests and hospital costs.

Design

Comparison of the number of duplicated laboratory tests performed on inpatients before and after the intervention.

Setting

University of Florida Health Shands Hospital, Gainesville, FL, USA, during 2014–2017.

Intervention

The electronic medical record intervention was a BPA pop-up alert that informed the ordering physician if a recent identical order already existed along with the “ordering time”, “collecting time”, “resulting time”, and the result itself.

Main outcome measures

Percentage change in the number of inpatient duplicate orders of selected clinical biochemistry tests and cost savings from reduction of the duplicates. Student’s t-test and beta-binomial models were used to analyze the data.

Results

Results from the beta-binomial model indicated that the intervention reduced the overall duplicates by 18% (OR=0.82, standard error=0.016, P-value<0.000). Percent reductions in 9 of the 17 tests were statistically significant: serum hemoglobin A1C level, vitamin B12, serum erythrocyte sedimentation rate, serum folate, serum iron, lipid panel, respiratory viral panel, serum thyroid stimulating hormone level, and Vitamin D. Additionally, important cost savings were realized from the reduction of duplicates for each lab test (with the exception of CRP) with an estimated overall savings of $72,543 over 17 months in the post-intervention period.

Conclusions

The present study included all hospital inpatients and covered 17 clinical laboratory tests. This rather simple and low-cost intervention resulted in significant reductions in percentage duplicates of several tests and resulted in cost savings. The study also highlights the role of hospitalists in quality improvement.

Relevance or performance: potential savings associated with verification of prior results before performing microbiology analysis

OBJECTIVE

In an era of rising healthcare expenditures, it is critical to find ways to decrease cost. The objective of this study is to evaluate the number of repeated tests and the associated cost savings in a university-affiliated hospital.

METHODS

The following 7 microbiology analysis were assessed for nonrepeat testing: HCV antibody, HBV core antibody, CMV IgG, rubella IgG, Treponema pallidum antibodies, Clostridioides difficile toxin detection, and vancomycin-resistant enterococci PCR. Presence of a prior positive result leads to the cancellation of subsequent orders.

RESULTS

Percentages of not repeated test ranged from 0.1% to 21.4%. Rubella IgG had the highest proportion of unnecessary repeat testing. Total cost savings were estimated at $33,627 for 2016.

CONCLUSION

Unnecessary repeated microbiologic test can account for a non-negligible part of total volume test. Use of an automated software to detect unnecessary repeated microbiologic test through laboratory information system can generate important savings.

Health economic implications of complications associated with pancreaticoduodenectomy at a University Hospital: a retrospective cohort cost study

BACKGROUND

A cost analyses of complications following pancreaticoduodenectomy (PD) was performed in a high volume hepato-biliary-pancreatic service. We hypothesised that costs are increased with both severity and number of complications; we investigated the relationship between complications and specific cost centres.

METHODS

100 patients from 2011 to 2016 were included. Data relating to their perioperative course were collected. Complications were documented by the Clavien-Dindo classification and costs were inflated and converted to 2017 USD.

RESULTS

Mean hospital costs in complicated patients more than doubled those of uncomplicated patients ($28 330 vs. $57 150, p < 0.0001). Total hospital costs significantly increased with both severity and number of complications. This cost increase was influenced by medical consult, pathology, pharmacy, radiology, ward, intensive care, and allied health costs, but not operating theatre or anaesthesia costs. Postoperative pancreatic fistula, postoperative haemorrhage, delayed gastric emptying and infection were associated with cost differentials of $65 438, $74 079, $35 620 and $46 316 respectively over uncomplicated patients.

CONCLUSION

The development of complications following PD is common, costly and associated with increased length of stay. Costs increased with greater complication severity, and specific complications. The in-depth breakdown of hospital costs suggests specific targets for cost containment.

Appropriateness of digoxin measurement in hospitalized patients

Introduction

Measurement of serum digoxin concentrations before steady-state is reached results in a falsely low concentration, and may affect treatment safety. We evaluated the proportion of serum digoxin measurements performed before steady-state is reached and the reasons for inappropriate sampling in hospitalized patients.

Materials and methods

Electronic medical records of patients hospitalized between January 2011 and December 2015 treated with oral digoxin, that had more than one digoxin measurement were included. Serum digoxin measurements performed before achievement of pharmacological steady state were considered as inappropriate. The chi-square and chi-square for trend tests were used to analyse the relationship between inappropriate measurements and age, gender, diagnosis, inpatient service, serum digoxin, potassium and creatinine concentrations.

Results

We evaluated 2065 hospital admissions for 1621 patients and 11,407 digoxin measurements. The time between consecutive measurements was 1.9 ± 2.4 days and 97% of all measurements were classified as inappropriate. There was no releationship between patient age, gender, serum creatinine concentration and inappropriate measurement. As opposed to expected, inappropriate digoxin measurement was higher when potassium concentrations were within the normal range (P = 0.025). Share of inappropriate determinations of digoxin was higher when concentrations > 2.6 nmol/L were recorded (P < 0.05). These measurements were requested most often in coronary care unit and cardiology department.

Conclusions

In our study, inappropriate serum digoxin measurement was found to be very high although only one of the appropriateness criteria was evaluated. The findings reveal the need for some strategies to prevent inappropriate measurements and reduce costs.

Economic Evaluations of Pathology Tests, 2010-2015: A Scoping Review

BACKGROUND

Concerns about pathology testing such as the value provided by new tests and the potential for inappropriate utilization have led to a greater need to assess costs and benefits. Economic evaluations are a formal method of analyzing costs and benefits, yet for pathology tests, questions remain about the scope and quality of the economic evidence.

OBJECTIVE

To describe the extent and quality of published evidence provided by economic evaluations of pathology tests from 2010 to 2015.

METHODS

Economic evaluations relating to pathology tests from 2010 to 2015 were reviewed. Eight databases were searched for published studies, and details recorded for the country, clinical focus, type of testing, and consideration of sensitivity, specificity, and false test results. The reporting quality of studies was assessed using the Consolidated Health Economic Evaluation Reporting Standards checklist and cost-effectiveness ratios were analyzed for publication bias.

RESULTS

We found 356 economic evaluations of pathology tests, most of which regarded developed countries. The most common economic evaluations were cost-utility analyses and the most common clinical focus was infectious diseases. More than half of the studies considered sensitivity and specificity, but few studies considered the impact of false test results. The average Consolidated Health Economic Evaluation Reporting Standards checklist score was 17 out of 24. Cost-utility ratios were commonly less than $10,000/quality-adjusted life-year or more than $200,000/quality-adjusted life-year.

CONCLUSIONS

The number of economic evaluations of pathology tests has increased in recent years, but the rate of increase has plateaued. Furthermore, the quality of studies in the past 5 years was highly variable, and there is some question of publication bias in reporting cost-effectiveness ratios.

Completeness in clerking: The surgical admissions proforma

BACKGROUND

The accessibility of surgical patient data is a key safety concern, and relies on efficient clerking and handovers. This project assessed whether the introduction of a surgical clerking proforma improved the recording of patient information in the surgical admissions unit (SAU) at Northwick Park Hospital.

MATERIALS AND METHODS

Existing patient notes were assessed on content and ease of access, using two independent surveys conducted over a 5-day period. The first survey audited patient notes before (n = 28) and after (n = 23) the introduction of the proforma. It assessed whether key patient details were documented, in line with the 17 criteria set out in the Guidelines for Clinicians on Medical Records and Notes by The Royal College of Surgeons in England. The second survey questioned healthcare professionals before (n = 25) and after (n = 17) proforma implementation on the accessibility of patient data and coherency of patient notes.

RESULTS

5 of the 17 criteria showed significant differences post proforma implementation. Of these differences, the recording of height and occupation was most notable (p < 0.01). Medication history, weight and investigations also showed significant increases in documentation (p < 0.05). In all 3 questions asked to healthcare professionals, fewer healthcare professionals were required to revisit archived notes following proforma implementation (p < 0.05).

CONCLUSION

Our study illustrates that a comprehensive surgical clerking proforma improves patient data documentation and saves healthcare professionals' time compared to the freehand clerking method. The implications of such work are far reaching, and if well implemented could allow a new reliable platform for further clinical audits.

Demand management by electronic gatekeeping of test requests does not influence requesting behaviour or save costs dramatically

Background

Healthcare budgets face constraints, and laboratories have developed strategies to adapt to the concomitant increase in workload. Some of the tests (7.4%) may be attributed to unnecessary repeat testing. Electronic gatekeeping has been implemented at selected laboratories in South Africa to limit unnecessary repeat testing. We performed a study of chemistry tests subjected to electronic gatekeeping to determine its effectiveness as a sustainable demand management tool.

Methods

A 22-month retrospective study of chemistry test requests at a Pretoria hospital was performed. Tests violating electronic gatekeeping rules were rejected upon registration before analysis, and cost-savings were estimated from electronic gatekeeping-held tests. The impact of electronic gatekeeping on the test requesting pattern of clinicians was derived from the percentage cost of electronic gatekeeping-held tests.

Results

The total savings generated from electronic gatekeeping test rejections amounted to $84,380. Greatest savings were generated from high-cost tests: glycated haemoglobin ($14,139), urea ($8661) and thyroid-stimulating hormone ($7514). The average number of electronic gatekeeping-held tests as a percentage of their total requested number over 22 months was 3.18%.

Discussion

The savings from electronic gatekeeping-held tests were not as dramatic as anticipated, but were modest and may have some impact in a cost-constrained setting. Electronic gatekeeping was concluded not to have a substantial effect on the clinician test requesting pattern, demonstrated by the largely unchanged monthly percentage of electronic gatekeeping-held tests. As a solitary demand management strategy, electronic gatekeeping does not appear to be as effective as anticipated or as demonstrated in other studies.

Do Health Information Exchanges Deter Repetition of Medical Services?

Repetition of medical services by providers is one of the major sources of healthcare costs. The lack of access to previous medical information on a patient at the point of care often leads a physician to perform medical procedures that have already been done. Multiple healthcare initiatives and legislation at both the federal and state levels have mandated Health Information Exchange (HIE) systems to address this problem. This study aims to assess the extent to which HIE could reduce these repetitions, using data from Centers for Medicare 8 Medicaid Services and a regional HIE organization. A 2-Stage Least Square model is developed to predict the impact of HIE on repetitions of two classes of procedures: diagnostic and therapeutic. The first stage is a predictive analytic model that estimates the duration of tenure of each HIE member-practice. Based on these estimates, the second stage predicts the effect of providers’ HIE tenure on their repetition of medical services. The model incorporates moderating effects of a federal quality assurance program and the complexity of medical procedures with a set of control variables. Our analyses show that a practice's tenure with HIE significantly lowers the repetition of therapeutic medical procedures, while diagnostic procedures are not impacted. The medical reasons for the effects observed in each class of procedures are discussed. The results will inform healthcare policymakers and provide insights on the business models of HIE platforms.

An epidemiology-based model as a tool to monitor the outbreak of inappropriateness in tumor marker requests: a national scale study

BACKGROUND

Evaluation of appropriateness of laboratory tests on the basis of individual requests remains a serious problem as the clinical question is usually not reported with the test order. This study explored the comparison of the rate of tumor marker orders with cancer prevalence as a putative indicator of inappropriateness.

METHODS

Tumor marker orders (2011 and 2012) were obtained from the Ministry of Health and cancer prevalence from the Italian Association of Cancer Registries. The rate of tumor marker orders was matched with demographic data and tumor prevalence and examined by using the confidence interval approach. Region-to-region and year-to-year variations were also examined. Focus was placed on CEA, CA125, CA19.9 and CA15.3.

RESULTS

Tumor markers ordered in Italy were 13,207,289 in 2012 (221.3/1000 individuals). Given an estimated prevalence of 2,243,953 cancer cases, 7.04 tumor markers appear to be requested for each prevalent case of epithelial cancer per year. The rate of requests of CEA, CA125, CA19.9 and CA15.3 (in aggregate 5,834,167 requests in 2012, 44.2% of total) from the first and the last ranked region (96 and 244/1000 individuals) are significantly different (p<0.01). Region-to-region differences do not correspond to any known variation of prevalence in the different regions.

CONCLUSIONS

The developed approach provides a proxy indicator of inappropriateness showing that tumor markers are overused in Italy and their ordering pattern is not related to tumor prevalence. The model is suitable to be validated in other laboratory tests used in diseases whose prevalence is known.

Improving surgeon utilization in an orthopedic department using simulation modeling

Purpose

Worldwide more than two billion people lack appropriate access to surgical services due to mismatch between existing human resource and patient demands. Improving utilization of existing workforce capacity can reduce the existing gap between surgical demand and available workforce capacity. In this paper, the authors use discrete event simulation to explore the care process at an orthopedic department. Our main focus is improving utilization of surgeons while minimizing patient wait time.

Methods

The authors collaborated with orthopedic department personnel to map the current operations of orthopedic care process in order to identify factors that influence poor surgeons utilization and high patient waiting time. The authors used an observational approach to collect data. The developed model was validated by comparing the simulation output with the actual patient data that were collected from the studied orthopedic care process. The authors developed a proposal scenario to show how to improve surgeon utilization.

Results

The simulation results showed that if ancillary services could be performed before the start of clinic examination services, the orthopedic care process could be highly improved. That is, improved surgeon utilization and reduced patient waiting time. Simulation results demonstrate that with improved surgeon utilizations, up to 55% increase of future demand can be accommodated without patients reaching current waiting time at this clinic, thus, improving patient access to health care services.

Conclusion

This study shows how simulation modeling can be used to improve health care processes. This study was limited to a single care process; however the findings can be applied to improve other orthopedic care process with similar operational characteristics.

The concordance of serial ANA tests in an Australian tertiary hospital pathology laboratory

The antinuclear antibody (ANA) tests are some of the more frequently requested tests for the diagnosis of autoimmunity. Although they are used primarily as diagnostic blood tests, multiple requests on the same patient continue to be encountered in the laboratory. This retrospective analysis of serial ANA testing at one pathology laboratory in Australia is the first study that examines the statistical concordance and possible implications of this on clinical practice. High-titred ANA have quite good repeatability for titre and pattern, and low-titred ANA, which can be non-specific, have poor repeatability. Staining patterns are, in general, almost random in nature on serial tests when compared to the first-obtained ANA pattern for each patient. This study confirms that there is little benefit in serial ANA testing, and only if there is a clear change in the patient's clinical picture would repeat of an initial low-titred ANA be useful. The findings reinforce the need for pathology stewardship to minimise costs, wasted resources and unnecessary referrals.

A review on laboratory tests' utilization: A trigger for cutting costs and quality improvement in health care settings

BACKGROUND

Considering the role of laboratory tests as a central part of controlling health expenditure, this study intends to investigate laboratory tests overutilization in Iran to pave the way for future interventions.

METHODS

Inappropriate laboratory utilization was reviewed in a cross-sectional survey through the retrospective analysis of 384 medical records at a tertiary center. To pave the way for future intervention, overutilization tests were classified into two categories, inappropriate and inefficient, and then they were analyzed. Frequency analysis was used to analysis patient's age, gender, hospital wards, length of stay, and diagnosis as well as inappropriate test and inefficient tests.

RESULTS

A total of 143 (1.50 %) of the tests were inefficient and was ordered due to laboratory errors including hemolysis, inefficient sampling, or absurd results. 2522 (26.40%) of the tests were inappropriate and stem from failure to meet medical/clinical appropriateness criteria.

CONCLUSION

Whereas, inappropriate test ordering was more frequent than inefficient tests, the initial improvement strategy should focus on physicians' test ordering behavior through conducting proper teaching strategies, ongoing audit and educational feedback, implementing health information technology tools and employing laboratory practice guidelines (LPGs) and testing algorithms. Conducting continuous quality improvement cycle for laboratory services and training of personnel involved in blood sampling is recommended for inefficient tests.

Unnecessary repeated total cholesterol tests in biochemistry laboratory

INTRODUCTION

We aimed to determine the number of repeated cholesterol (RC) tests and the ratio of unnecessary-repeated cholesterol (URC) tests among patients admitted to Pamukkale University Hospital (Denizli, Turkey) and provide solutions to avoid URC testing.

MATERIALS AND METHODS

Total cholesterol (T-cholesterol) tests (N = 86,817) between June 2014 and May 2015 were evaluated. The tests performed more than once per patient were determined as RC test (N = 28,811). RC test with an interval shorter than 4 weeks were determined as URC test (N = 3968) according to the shortest retest interval stated in ACC/AHA blood cholesterol guideline. RC testing included internal medicine, surgery and paediatric outpatients and inpatients. Reference change value (RCV) of total cholesterol was calculated.

RESULTS

The 33.1% of the T-cholesterol tests were RC tests (N = 28,811), 13.7% of them were URC tests (N = 3968). Our RCV value was 25%. The percentage change between consecutive tests was less than RCV in 86.1% (N = 3418) of URC tests. URC tests were performed more frequently in patients with desirable total cholesterol value (P < 0.001).

CONCLUSION

There is a significant part of repeated T-cholesterol tests requested in our hospital. URC test requests can be evaluated by laboratories and the obtained data should be shared with clinicians. Laboratories can calculate RCV for the tests they performed and report this value with the test result. To prevent from URC tests, a warning plug-in can be added to hospital information software in accordance with guidelines to prevent from URC test requests.

Inappropriate repeats of six common tests in a Canadian city: a population cohort study within a laboratory informatics framework

OBJECTIVES

To identify inappropriate repeats of six common laboratory tests in a population sample of patients, using highly specific criteria based only on repeat time and test value.

METHODS

We used a laboratory informatics database to conduct a retrospective cohort study using a population sample of 103,000 patients in the city of Calgary with an index test in 2010 and uniform follow-up of 1 year. We examined six tests (cholesterol, hemoglobin A1c, thyroid-stimulating hormone, vitamin B12, vitamin D, and ferritin) with consensus-based or easily justified criteria for inappropriate repeats based solely on time to repeat and the index test value.

RESULTS

The percentages of tests repeated at 3, 6, and 12 months were 11%, 23%, and 41%, respectively. In total, 16% of these six tests were inappropriately repeated, representing an annual internal cost of $0.6 to $2.2 million Canadian dollars and corresponding to population-scaled national estimates for Canada and the United States of $160 million and $2.4 billion, respectively.

CONCLUSIONS

Objective definitions based on repeated testing identified 16% of six studied tests as inappropriate, delineating a subset of inappropriate testing that is well suited to automated identification and intervention and that provides a likely lower bound on the true burden of inappropriate testing.

The effect of charge display on cost of care and physician practice behaviors: a systematic review

BACKGROUND

While studies have been published in the last 30 years that examine the effect of charge display during physician decision-making, no analysis or synthesis of these studies has been conducted.

OBJECTIVE

We aimed to determine the type and quality of charge display studies that have been published; to synthesize this information in the form of a literature review.

METHODS

English-language articles published between 1982 and 2013 were identified using MEDLINE, Web of Knowledge, ABI-Inform, and Academic Search Premier. Article titles, abstracts, and text were reviewed for relevancy by two authors. Data were then extracted and subsequently synthesized and analyzed.

RESULTS

Seventeen articles were identified that fell into two topic categories: the effect of charge display on radiology and laboratory test ordering versus on medication choice. Seven articles were randomized controlled trials, eight were pre-intervention vs. post-intervention studies, and two interventions had a concurrent control and intervention groups, but were not randomized. Twelve studies were conducted in a clinical environment, whereas five were survey studies. Of the nine clinically based interventions that examined test ordering, seven had statistically significant reductions in cost and/or the number of tests ordered. Two of the three clinical studies looking at medication expenditures found significant reductions in cost. In the survey studies, physicians consistently chose fewer tests or lower cost options in the theoretical scenarios presented.

CONCLUSIONS

In the majority of studies, charge information changed ordering and prescribing behavior.

A cost-benefit analysis of twice-daily consultant ward rounds and clinical input on investigation and pharmacy costs in a major teaching hospital in the UK

OBJECTIVES

Misuse of investigations, medications and hospital beds is costing the National Health Service (NHS) billions of pounds with little evidence that approaches centred on reducing overuse are sustainable. Our previous study demonstrated that twice-daily consultant ward rounds reduce inpatient length of stay and suggested a reduction in overuse of investigations and medications. This study aims to assess the impact of daily consultant ward rounds on the use of investigations and medications and estimate the potential cost benefit.

SETTINGS

The study was performed on two medical wards in a major city university teaching hospital in Liverpool, UK, receiving acute admissions from medical assessment and emergency departments.

PARTICIPANTS AND INTERVENTION

The total number of patients admitted, investigations performed and pharmacy costs incurred were collected for 2 years before and following a change in the working practice of consultants from twice-weekly to twice-daily consultant ward rounds on the two medical wards.

OUTCOME MEASURES

We performed a cost-benefit analysis to assess the net amount of money saved by reducing inappropriate investigations and pharmacy drug use following the intervention.

RESULTS

Despite a 70% increase in patient throughput (p<0.01) the investigations and pharmacy, costs per patient reduced by 50% over a 12-month period (p<0.01) and were sustained for the next 12 months. The reduction in investigations and medication use did not have any effect on the readmission or mortality rate (p=NS), whereas, the length of stay was almost halved (p<0.01). Daily senior clinician input resulted in a net cost saving of £336,528 per year following the intervention.

CONCLUSIONS

Daily consultant input has a significant impact on reducing the inappropriate use of investigations and pharmacy costs saving the NHS more than £650K on the two wards over a 2-year period.

Toward High-Value Care: A Quality Improvement Initiative to Reduce Unnecessary Repeat Complete Blood Counts and Basic Metabolic Panels on a Pediatric Hospitalist Service

OBJECTIVE

Achieving high-value health care is a goal of health care providers who strive to increase quality and decrease cost. Decreasing laboratory tests is a potential method to increase value. We used quality improvement methodology to decrease the percentage of unnecessary complete blood counts (CBCs) and basic metabolic panels (BMPs) obtained on a pediatric hospital medicine service from 13.5% to <5%.

METHODS

A pre- and postintervention design was conducted including all patients admitted to 2 hospital medicine teams between May 2013 and December 2014. Multiple interventions linked to key drivers were tested through rapid plan-do-study-act cycles. Primary and secondary outcome measures, percent reduction of unnecessary CBCs and BMPs, and consecutive day tests were analyzed using statistical process control. Total billed charges, laboratory charges, 7-day readmission rates, and length of stay were compared pre- and postintervention.

RESULTS

Primary outcome of unnecessary CBCs and BMPs was reduced from a baseline of 13.5% to 4.5%. Secondary outcome measure of consecutive day testing was reduced from 20.9% to 8.5%. Median laboratory charges decreased significantly ($842 [$256-$1863] vs $800 [$222-$1616], P = .002), with no significant differences in total billed charges, 7-day readmission rates, or length of stay.

CONCLUSIONS

Rapid cycle plan-do-study-act methodology, initially focusing on the inclusion of a daily laboratory plan in progress notes, was an effective means to improve laboratory utilization and decrease laboratory charges without adversely affecting other quality measures. Spreading these efforts to different patient populations and laboratory tests could have a demonstrable effect on the value of health care.

Outcomes of HIV-infected patients receiving care at multiple clinics

Receiving care at multiple clinics may compromise the therapeutic patient-provider alliance and adversely affect the treatment of people living with HIV. We evaluated 12,759 HIV-infected adults in Philadelphia, PA between 2008 and 2010 to determine the effects of using multiple clinics for primary HIV care. Using generalized estimating equations with logistic regression, we examined the relationship between receiving care at multiple clinics (≥ 1 visit to two or more clinics during a calendar year) and two outcomes: (1) use of ART and (2) HIV viral load ≤ 200 copies/mL for patients on ART. Overall, 986 patients (8 %) received care at multiple clinics. The likelihood of attending multiple clinics was greater for younger patients, women, blacks, persons with public insurance, and for individuals in their first year of care. Adjusting for sociodemographic factors, patients receiving care at multiple clinics were less likely to use ART (AOR = 0.62, 95 % CI 0.55-0.71) and achieve HIV viral suppression (AOR = 0.78, 95 % CI 0.66-0.94) than individuals using one clinic. Qualitative data are needed to understand the reasons for visiting multiple clinics.

Hepatitis C virus testing in adults living with HIV: a need for improved screening efforts

OBJECTIVES

Guidelines recommend hepatitis C virus (HCV) screening for all people living with HIV (PLWH). Understanding HCV testing practices may improve compliance with guidelines and can help identify areas for future intervention.

METHODS

We evaluated HCV screening and unnecessary repeat HCV testing in 8,590 PLWH initiating care at 12 U.S. HIV clinics between 2006 and 2010, with follow-up through 2011. Multivariable logistic regression examined the association between patient factors and the outcomes: HCV screening (≥1 HCV antibody tests during the study period) and unnecessary repeat HCV testing (≥1 HCV antibody tests in patients with a prior positive test result).

RESULTS

Overall, 82% of patients were screened for HCV, 18% of those screened were HCV antibody-positive, and 40% of HCV antibody-positive patients had unnecessary repeat HCV testing. The likelihood of being screened for HCV increased as the number of outpatient visits rose (adjusted odds ratio 1.02, 95% confidence interval 1.01-1.03). Compared to men who have sex with men (MSM), patients with injection drug use (IDU) were less likely to be screened for HCV (0.63, 0.52-0.78); while individuals with Medicaid were more likely to be screened than those with private insurance (1.30, 1.04-1.62). Patients with heterosexual (1.78, 1.20-2.65) and IDU (1.58, 1.06-2.34) risk compared to MSM, and those with higher numbers of outpatient (1.03, 1.01-1.04) and inpatient (1.09, 1.01-1.19) visits were at greatest risk of unnecessary HCV testing.

CONCLUSIONS

Additional efforts to improve compliance with HCV testing guidelines are needed. Leveraging health information technology may increase HCV screening and reduce unnecessary testing.

The laboratory test utilization management toolbox

Efficiently managing laboratory test utilization requires both ensuring adequate utilization of needed tests in some patients and discouraging superfluous tests in other patients. After the difficult clinical decision is made to define the patients that do and do not need a test, a wealth of interventions are available to the clinician and laboratorian to help guide appropriate utilization. These interventions are collectively referred to here as the utilization management toolbox. Experience has shown that some tools in the toolbox are weak and other are strong, and that tools are most effective when many are used simultaneously. While the outcomes of utilization management studies are not always as concrete as may be desired, what data is available in the literature indicate that strong utilization management interventions are safe and effective measures to improve patient health and reduce waste in an era of increasing financial pressure.

Injudicious use of laboratory facilities in tertiary care hospitals at Rawalpindi, Pakistan: a cross-sectional descriptive study

Background

In recent years inappropriate and excessive use of clinical laboratory facilities has become a cause of concern and has led to concurrent rise in the laboratory errors and the health care costs. The aim of the study was to find out the frequency of incomplete laboratory request forms, inappropriate test requests at various professional levels and the financial impact of uncollected reports at Armed Forces Institute of Pathology (AFIP) and Combined Military Hospital (CMH) Laboratory Rawalpindi.

Methods

The cross-sectional descriptive study was conducted during a three month period from April to June 2012 at AFIP and CMH Laboratory Rawalpindi. A total of 1000 laboratory request forms were collected and scrutinized for completion from AFIP (n=500) and CMH Rawalpindi laboratory (n=500). 536 request forms of costly/specialized tests from different departments of AFIP were studied to find out the professional level of test request. The total number of tests performed at AFIP during the study period and number of uncollected reports were noted. The financial impact of these uncollected reports was also calculated. Collection of data and sorting were done manually. Patient confidentiality was maintained. Microsoft excel software and SPSS-17 were used for analysis. The study was approved by the Institutional Ethical Review Committee.

Results

Out of a total of 1000 forms studied none was completely filled with clinical notes being present in only 2.4% and 13% of forms sent to CMH and AFIP respectively. 62% of the expensive investigations were requested by specialists while 38% were ordered by residents and general practitioners but the percentage of avoidable expensive tests ordered by the general practitioners and residents was significantly higher than the specialists(p<0.001). A total of 9026 (40%) and 5046 (22%) diagnostic test reports were not collected from the Chemical pathology and Hematology departments respectively. Financial impact of uncollected reports from all the departments at AFIP collectively amounted to Pakistani Rupees (PKR) 3338201.

Conclusion

Processing incomplete laboratory request forms and injudicious use of laboratory facilities leads to incorrect interpretation of laboratory test results affecting outcome of the overall treatment.

The landscape of inappropriate laboratory testing: a 15-year meta-analysis

BACKGROUND

Laboratory testing is the single highest-volume medical activity and drives clinical decision-making across medicine. However, the overall landscape of inappropriate testing, which is thought to be dominated by repeat testing, is unclear. Systematic differences in initial vs. repeat testing, measurement criteria, and other factors would suggest new priorities for improving laboratory testing.

METHODS

A multi-database systematic review was performed on published studies from 1997-2012 using strict inclusion and exclusion criteria. Over- vs. underutilization, initial vs. repeat testing, low- vs. high-volume testing, subjective vs. objective appropriateness criteria, and restrictive vs. permissive appropriateness criteria, among other factors, were assessed.

RESULTS

Overall mean rates of over- and underutilization were 20.6% (95% CI 16.2-24.9%) and 44.8% (95% CI 33.8-55.8%). Overutilization during initial testing (43.9%; 95% CI 35.4-52.5%) was six times higher than during repeat testing (7.4%; 95% CI 2.5-12.3%; P for stratum difference <0.001). Overutilization of low-volume tests (32.2%; 95% CI 25.0-39.4%) was three times that of high-volume tests (10.2%; 95% CI 2.6-17.7%; P<0.001). Overutilization measured according to restrictive criteria (44.2%; 95% CI 36.8-51.6%) was three times higher than for permissive criteria (12.0%; 95% CI 8.0-16.0%; P<0.001). Overutilization measured using subjective criteria (29.0%; 95% CI 21.9-36.1%) was nearly twice as high as for objective criteria (16.1%; 95% CI 11.0-21.2%; P = 0.004). Together, these factors explained over half (54%) of the overall variability in overutilization. There were no statistically significant differences between studies from the United States vs. elsewhere (P = 0.38) or among chemistry, hematology, microbiology, and molecular tests (P = 0.05-0.65) and no robust statistically significant trends over time.

CONCLUSIONS

The landscape of overutilization varies systematically by clinical setting (initial vs. repeat), test volume, and measurement criteria. Underutilization is also widespread, but understudied. Expanding the current focus on reducing repeat testing to include ordering the right test during initial evaluation may lead to fewer errors and better care.

Role of the clinical immunology laboratory in disease monitoring

Immunological investigations provide useful information to guide diagnosis of several disorders. Many such tests are also commonly repeated at intervals, in an effort to facilitate disease monitoring. In general however, immunology test results are often slow to alter. Furthermore, audit activity has indicated that repeated testing accounts for a substantial workload in many immunology services, which may waste resources and compromise the efficient completion of necessary tests. Consequently, the need and appropriate minimum interval between repeated testing requires critical evaluation. In this review, the clinical utility of repeated performance of several common immunology investigations has been evaluated, based upon published evidence. In some cases (e.g., paraprotein quantification, or measurement of anti-glomerular basement membrane antibodies), repeated testing provides vital clinical information and can be justified on a frequent and individualized basis. However, many other investigations provided by immunology services provide less valuable information when used to aid disease monitoring rather than diagnosis. It is hoped that the data summarized here will facilitate a more evidence-based approach to repeated testing. Such information may also assist with the local implementation of demand management strategies based upon setting of minimum retesting intervals for these investigations.

The Development of the Doctorate in Clinical Laboratory Science in the U.S

In the United States, a new post-baccalaureate degree has been introduced in the medical laboratory sciences profession whose hallmark is advanced clinical practice beyond that of the entry level generalist. After more than a decade of exploring the most appropriate level of education and training in laboratory medicine to meet the demands of a changing health care system, the first Doctorate of Clinical Laboratory Science (DCLS) program is now offered. This article discusses the collaborative effort among professional organizations and stakeholders to develop the framework for the DCLS degree. In addition, the roles, responsibilities and justification for need of the DCLS are presented along with accreditation standards for DCLS programs and future challenges for this new member of the health care delivery team.