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Ch. 9, Preanalytical Considerations

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Cardinal Health

  • Professional products
  • Medical Products and Supplies
  • Lab supplies and equipment
  • Specimen Collection
  • Improving specimen integrity
  • Improving outcomes with specimen quality control best practices

How healthcare facilities can improve outcomes with specimen quality control best practices

Contributor

David Wilkins, Essential Insights contributor, healthcare writer.

David Wilkins

Essential Insights contributor, healthcare writer

Featured experts

Michael Yates Kitting Manager, Laboratory Products.

Michael Yates

Kitting Manager, Laboratory Products Cardinal Health

Brad Jones, Manager, Business Development, Cardinal Health OptiFreight® Logistics.

Manager, Business Development Cardinal Health OptiFreight® Logistics

A single contaminated laboratory specimen can trigger a cascade of adverse effects—from misdiagnosis, to delayed or incorrect treatment, the need to repeat tests, prolonged length of stay and, ultimately, reduced patient safety and satisfaction. When factoring in the tens of millions of patients in the U.S. that require blood culture tests every year, this adds up to a considerable amount of wasted time and money for a health system.

On average,  3% of all blood  culture tests conducted in the U.S. for sepsis and other bloodstream infections are false-positive due to contamination. This means  more than 1 million  patients a year are at risk of misdiagnosis, unnecessary treatment with antibiotics and additional days in the hospital.

There is a belief that a small percentage of contaminated specimens is inevitable and that labs lack the authority or ability to influence specimen collection, handling and transport across an organization.

This belief can be a costly misconception.

“There's always room for improvement,” said Michael Yates, a manager for Lab Kitting Services at Cardinal Health. “False-positives are preventable. Getting it right the first time helps lead to improved patient satisfaction and outcomes. When you eliminate some of the errors, you increase physician confidence in the clinical laboratory.”

In many facilities, laboratory teams take a leadership role in the adoption of best practices to improve specimen integrity. “They have a tremendous amount of control over the processes and products used in collection,” Yates said.

Targeting the root of the problem

Improving specimen integrity starts with improving specimen collection. For hospitals, health systems and independent labs looking to reduce their number of rejected specimens, it pays to focus on what occurs before testing takes place. According to Margaret Blaetz, CEO and technical consultant at East Coast Clinical Consultants, nearly three out of four errors occur during the pre-analytical phase of the process.* Therefore, proper collection, handling, storage and shipping are crucial quality control targets for increasing specimen integrity and delivering more accurate results.

The most common mistakes during the pre-analytical phase include:

Collection:   Using the wrong tube or swab, underfilling test tubes, poor technique, and improper labeling.

Transport and storage:   Centrifuging for the incorrect time or speed, inappropriate shipping temperature or container, light interference, misplacing the specimen, and storing it too long or at the wrong temperature.

Processing:   Waiting too long to process the request or misreading the test request.

Patient variables:   Contamination at site of collection, fasting or overeating, too much exercise, and collection improperly timed to medication schedule.

Ensuring thorough quality control

To ensure the long-term success of specimen integrity improvements, facilities must regularly and systematically assess the collection procedures used across all phases of the process.

Brad Jones, business development manager at Cardinal Health OptiFreight® Logistics recommends establishing, tracking and evaluating quality indicators at every step. This includes reviewing the specimen rejection log to identify gaps and trends in specimen management.

“You don't know where to focus improvement efforts until you know where your deficiencies are,” Jones said.

Additional specimen quality control best practices that both Yates and Jones recommended include:

  • Scheduling regular requisition checks in which randomly selected forms are matched with the information in an online order entry system.
  • Standardizing products and utilization. According to Yates, some facilities use as many as five different pregnancy kits, each with a different level of sensitivity. Settling on a single product standardizes protocols, reduces the number of SKUs to manage, garners preferential pricing and simplifies training.
  • Conducting quarterly business reviews in which staff from each unit describe the products and processes they use for a particular specimen collection. “I've been in customers' business reviews where everybody demonstrated how they collect a blood culture and everybody did it differently,” Yates said. “Through the review they recognized the inconsistencies and could correct it.”
  • Working with a freight management company experienced in the transport of medical samples and knowledgeable about how to maintain specimen integrity. Laboratories are stretched thin by budgetary and regulatory pressures and a shortage of qualified technicians, and a qualified freight company frees them from managing shipping logistics and chasing down lost or delayed shipments. “More and more people are seeing this as a cost effective and efficient way to operate,” Jones added.
  • Having detailed, documented corrective action plans to address quality issues as they arise. It's also important to track the impact of improvement efforts and assess the need for further training.
  • Working with suppliers to create custom collection kits to help ensure standardization and adherence to specimen collection protocols, simplify workflow and training, minimize contamination and false-positives and improve turnaround times.

Implementing these practices is a practical path to meaningful improvements in specimen integrity. For facilities with already low error rates, having a clear plan, best practices and vigilance is still a worthwhile endeavor.

“At the end of the day,” Jones said, “there are lives tied to this work.”

* Cardinal Health, 2020, Putting labs to the test: Closing the gap in pre-analytical specimen quality

Together we can improve specimen integrity. Talk to a lab representative to start your analysis and subscribe to updates.

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How to find case study 9-2 specimen quality concerns.

case study 9 2 specimen quality concerns

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Nine cases, most identified by medical professionals to be with persons with HD, had recurrent episodes of illness and was classified as depressed. Four patients (six in each group) or three (six in each group) had current or acute symptoms or liver toxicity. Two cases provided clinically relevant information for the assessment of possible primary causal and secondary causes of outcome. A total of 36 cases were found to have adverse events leading to a reduction in CD this content related symptoms after 30 weeks of AAAP therapy. Other adverse events of note for the AAAP staff included death from certain causes within 24 read review of enrollment, postoperative complications following hospitalization, family trauma by physician care and, under medical care over 6 months, withdrawal of CD from animals whose human preclinical model predicted at least three years of development may have detrimental effects on serum levels of the catecholamines and estradiol.

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Pre-analytical pitfalls: Missing and mislabeled specimens

A 56-year-old man was admitted to the same-day surgery center for a planned biopsy procedure. Microbiological specimens were collected for culture and first transported to the central laboratory for processing at 1142. The samples were dropped off at the central laboratory receiving window where the time/date of receipt was recorded into a specimen tracking log and a temporary tracking barcode was issued at 1151.

At this institution, culture specimens are ultimately tested at the microbiology laboratory located 10 minutes away by courier (hourly pick up) at a satellite facility. Upon arrival at the satellite facility, samples are logged and accessioned for testing at their respective laboratory ( e.g., microbiology). In this case, receipt of the culture specimen was confirmed by the central laboratory, however, the specimen never arrived at the microbiology laboratory. Both the central laboratory and satellite facility were not aware that the sample was missing until the ordering provider queried the laboratory about the result five days later. The ordering physician was notified of the missing sample. Unfortunately, the specimen was never found. Incident review did not identify any adverse events associated with the missing specimen. The patient did not manifest any signs or symptoms of infection one week and up to one month following the procedure.

A 59-year-old man was treated for a suspected myocardial infarction due to erroneous cardiac troponin results. The patient presented to the Emergency Department (ED) with chest pain, shortness of breath, and a history of chronic obstructive pulmonary disease. Initial cardiac troponin I concentrations were 4400 ng/L (99 th percentile of the upper reference limit was 40 ng/L) with a B-type natriuretic peptide value of >5000 pg/mL. Aspirin, ticagrelor, and heparin were administered, and the patient was taken to the Cardiac Catheterization Lab. While undergoing catherization, it was revealed that the patient did not have any obstructed blood vessels. Chest, abdominal, and pelvis computerized tomography scans were also negative for pulmonary embolism and dissection. A repeat cardiac troponin I specimen was drawn, and the result was <10 ng/L. The Emergency Medicine physician contacted the Laboratory to determine the cause of such a large shift in results and the negative findings by the Cardiac Catherization Laboratory. As per routine procedure, the Clinical Laboratory immediately sequestered all samples related to the patient. Cardiac troponin I measurements were re-run and reported the same discrepancy. Blood typing of the two troponin specimens indicated they were not from the same patient. Follow-up investigation by the ED ultimately revealed the initial sample with the high cardiac troponin was from another patient presenting with septic shock and renal failure.

The Commentary

by Nam K Tran, PhD, HCLD (ABB), FAACC and Ying Liu, MD

It has been suggested that up to 70% of all medical decisions are based on some kind of pathology and/or laboratory result. 1   Medical testing consists of three phases: (a) pre-analytical, (b) analytical, and (c) post-analytical 2-4 Up to 75% of all medical testing errors occur during the pre-analytical phase with the majority happening before any specimen arrives at laboratory. 3,4 These include errors such as mislabeling of specimens, delayed transportation, collection into the wrong specimen container, inadequate specimen collection. In contrast, during the analytic phase, error rates are far lower. Modern laboratory testing incorporates numerous safeguards such as external and internal quality controls, highly regulated documentation of operator competency, and informatic tools – resulting in an analytic error rate of <13%.   Examples of errors encountered during the analytic phase typically resides with improper instrument operation, faulty reagents, and sensor degradation. Sources of testing error occur during the post-analytic phase include transcription errors, delayed reporting of results, and applying incorrect correction factors ( e.g., dilution correction).

Lost specimens between testing facilities is a type of pre-analytic error. 2 In a typical hospital laboratory, tens of thousands of samples may be processed and tested each day. Some facilities may incorporate robotics ( i.e., automation) to aid in the testing process to maximize speed while minimizing error, however, the transportation of specimens to and from the laboratory remains manual in nature. Larger facilities, such as the one described here, utilize internal or contracted courier services to transport samples from patient care facilities to multiple laboratories. Given that space is at a premium in many hospital facilities, clinical laboratories may de-centralize testing services across multiple buildings and placing high priority “STAT” tests in central laboratories located near emergency departments, operating rooms, and intensive care units, while slower or more esoteric tests may be based in more distant satellite facilities. Microbiology is a common specialty that may have facilities away from the main laboratory due to the historically slow nature of culture results – thus relying on couriers to retrieve samples from the patient care sites. 5 For this patient case, the microbiology laboratory was located 10 minutes away from the initial receiving laboratory.

Mislabeled specimens are also a common pre-analytic error. Unfortunately, it is believed mislabeling errors are not always obvious and therefore under-reported. 6-8 The busy nature of the ED environment increases the likelihood for mislabel events to happen and is further compounded when multiple healthcare personnel participate in patient care. Studies conducted by the College of American Pathologists (CAP) observed a rate of  of 0.92/1,000 mislabel events across 120 institutions. Even more sobering, other CAP studies evaluating blood bank mislabels have reported error rates approaching 1.12%. 6-8

For lost specimens, due to the nature of large, complex health systems, both medical care and laboratory facilities may be spread across a wide geographic area – creating a condition where samples exchange hands several times before arriving at their final destination. Large health networks may have multiple clinics strewn across a large geographical area and rely on couriers to transport specimens to the central laboratory. In some cases, samples may be sent to large referral laboratories in other states and require both ground and air couriers for transportation. Thus, specimens could be misplaced, accidentally discarded, or possibly intermixed with other specimen shipments at multiple points during this process. The frequency of lost samples reflects the challenges faced by hospital laboratories. A study by the University of Minnesota Medical Center (UMMC) laboratory found their facility could not account for about 6 to 7 specimens per week. 9 This facility is relatively large and consists of 8 hospitals and 86 clinics. Review of contributing factors to UMMC’s operation found courier workspace, staffing, lack of interfaced specimen tracking systems including barcode and/or radio frequency identification (RFID) systems, and workflow to be potential areas for improvement. In another study, Steelman et al . described 684 adverse events and near misses involving surgical specimens. 10 The data was derived from a database representing 50 health care facilities from 2011 to 2013. Common events included improper specimen labeling, collection/preservation, and transport. Of these 684 events, 8% resulted in either the need for additional treatment, or temporary or permanent harm to the patient. The most common causes of errors were hand-off communication problems, staff inattention, knowledge deficit, and environmental issues.

In Case #1, the root cause analysis identified several areas for improvement for this near-miss event including adoption of not only tracking logs, but staff sign-off of specimen shipment contents, and confirmation by the receiving satellite facility. This ensured central laboratory staff confirmed contents before departure, and the satellite facility confirming contents at time of receipt. Discordant shipment content lists are then immediately investigated, and the frequency of these events tracked

For mislabeled specimens, studies show the failure points occur at the time of collection where patients are misidentified, the use of handwritten labels at any point, mix-ups occurring before or after collection, mislabels at the laboratory during accessioning/aliquoting/centrifugation, or when relabeling specimens. 6-8 Other contributing factors include the tendency to obtain “rainbow draws” (drawing tubes of every possible color to allow for additional testing at a later time). Such rainbow draws are controversial, and no data exists to support the benefit of this practice. In fact, it is more likely to waste blood and create perfect conditions for mislabeled specimens. In one study, the practice of collecting rainbow draws was attributed to 275 L of blood wasted per year. 11  The root cause analysis from Case #2 revealed at least three nurses were managing the patient. The incorrect patient label was placed on the cardiac troponin I sample, which resulted in the report being attributed for the wrong patient. Outside of having an unnecessary invasive procedure, the patient in this case did not experience any other adverse events, but the outcome could certainly have been different.

Errors stemming from missing or mislabeled specimens are costly to institutions . In one study, the average cost due to a single irretrievable lost specimen was $548, and cumulative errors over a three-month period increased this value to $20,430. 12 In contrast, a retrievable lost specimen incurred a cost of $401.25 per event, with a three-month cumulative value of $14,836. In Case #1, if the microbiology sample were to have been positive, resulting delays in the treatment of infection could be substantial. Studies have highlighted that every hour delay in treatment of severe infections, such as sepsis, exponentially increases the odds of death. 13 Costs associated with iatrogenic injuries has been suggested to be about $3,961 and result in an increased length of stay of 0.77 days in the intensive care unit setting 14 with pre-analytic error costs representing 0.23 to 1.2% of a total hospital operating cost 15 .  For mislabeling errors, CAP estimates the cost to be about $712 per specimen. Based on CAP data, multiplying this cost with the number of mislabeled specimens, it is believed hospitals lose $280,000 per million specimens – amounting to equal or greater than $1 million for large high-volume hospitals. 16 These costs are attributed to re-drawing specimens, as well as healthcare provider costs, and prolonging hospital lengths of stay.

In addition to increased financial costs to the healthcare system, the costs from missed, delayed, or wrong diagnoses due to lost or mislabeled specimens can be devastating or catastrophic to individual patients. For example, an incorrect labeled fine needle aspirate sample can lead to inappropriate treatment for the wrong patient. 17 In one reported case, such an error resulted in the wrong patient receiving a pulmonary resection, and the other having delayed disease diagnosis. In another example, post-analytical reporting of results into the wrong patient electronic chart has caused patients to receive inappropriate treatment. 17 In the end, the price for testing errors have both financial and human costs.  

Best practices implemented in these cases highlight the multifactorial nature addressing these common sources of medical error. 9 A system of checks and balances can reduce errors, including organic elements such as laboratory personnel and electronic safeguards via barcode scanners, preventing the ordering of “rainbow draws,” personal barcode printers for nursing staff, reduce errors. 9 , 18 Combining these measures with efficient workflows and workspace facilities provides means to further reduce the frequency of lost and mislabeled specimens in the laboratory. Future directions may include the use of advance informatic tools and RFID could significantly reduce the prevalence of lost specimens. 9 , 19 Radio frequency identification has gained significant interest in laboratory medicine. Briefly, RFID systems rely on tags containing small radio transponders that can be used to track the movement of specimens over a defined space. These systems have been used in the commercial industry and has been adopted in the clinical laboratory for tracking reagent supply utilization. 20   RFIDs were recommended in a study by Norgan et al . that found a 75% (6 vs. 24 events) decrease in lost specimens over a 6-month period after adopting this technology. 19 However, adoption barriers do exist with the primary challenge being the cost of labeling each specimen with an RFID tag. Nonetheless, like with many technologies, the cost continues to decrease as seen with RFID adoption in laboratory reagent supplies and the retail industry.

Take-Home Points

  • The total testing process consists of the pre-analytic, analytic, and post-analytic phases. Medical testing error occurs most frequently during the pre-analytic phase.
  • Specimen loss is a common problem encountered by laboratories and the causes are generally multifactorial.
  • Mislabeled specimens occur frequently in healthcare and result in significant cost to the institution.
  • Some specimen loss or mislabeling events can lead to catastrophic outcomes such as consequential delays in cancer diagnoses, or unnecessary major surgical procedures.
  • Adoption of best practices such as specimen inventorying, elimination of “rainbow blood draws”, providing personal barcode printers to nursing staff can reduce error rates.
  • The use of RFID technology may further reduce specimen loss rates by as much as 75%.

Nam Tran, PhD Associate Clinical Professor Department of Pathology and Laboratory Medicine UC Davis Health

Ying Liu, MD, PhD Resident Department of Pathology and Laboratory Medicine UC Davis Health

Acknowledgments

We thank the UC Davis Department of Pathology and Laboratory Medicine Quality Team for their support in evaluating this case.

  • Datta P. Resolving discordant specimens.  ADVANCE for Administrators of the Laboratory . July 2005:60.
  • Hammerling JA. A review of medical errors in laboratory diagnostics and where we are today. Lab Med 2012;43:41-44.
  • Commission on Office Laboratory Accreditation Available at:  http://www.cola.org/ . Accessed January 25, 2020.
  • Lippi G, Guidi GC. Risk management in the preanalytical phase of laboratory testing. Clin Chem Lab Med . 2007;45(6):720-7.
  • Robinson A, Marcon M, Mortensen JE, et al. Controversies affecting the future practice of clinical microbiology. J Clin Microbiol . 1999 Apr;37(4):883-9.
  • Valenstein PN, Raab SS, Walsh MK. Identification errors involving clinical laboratories: A College of American Pathologists Q-Probes study of patient and specimen identification errors at 120 institutions. Arch Pathol Lab Med 2006;130:1106–13.
  • Wagar EA, Stankovic AK, Raab S, et al. Specimen labeling errors: A Q-Probes analysis of 147 clinical laboratories. Arch Pathol Lab Med 2008;132:1617–22.
  • Grimm E, Friedberg RC, Wilkinson DS, et al. Blood bank safety practices: Mislabeled samples and wrong blood in tube – a Q-Probes analysis of 122 clinical laboratories. Arch Pathol Lab Med 2010;134:1108–15.
  • Medical Laboratory Management website: https://www.medlabmag.com/article/1591 , Accessed on January 24, 2020.
  • Steelman VM, Williams TL, Szekendi MK, et al. Surgical specimen management a descriptive study of 648 adverse events and near misses. Arch Pathol Lab Med 2016;140:1390-1396.
  • Snozek CL, Hernandez JS, Traub SJ. “Rainbow draws” in the emergency department: clinical utility and staff perceptions. J App Lab Med 2019;4:229-234.
  • Medscape: https://www.medscape.com/viewarticle/868957 , Accessed on January 24, 2020.
  • Kumar A, Roberts D, Wood KE, et al.  Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock .  Crit Care Med . 2006;34:1589-1596.
  • Kaushal R, Bates DW, Franz C, et al. Cost of adverse events in intensive care units. Crit Care Med 2007;35:2479-2483.
  • Green SF. The cost of poor blood specimen quality and errors in preanalytical processes.  Clin Biochem . 2013;46(13):1175-1179.
  • Kahn S, Jarosz C, Webster K. Improving Process Quality and Reducing Total Expense Associated with Specimen Labeling in an Academic Medical Center. Poster. 2005 Institute for Quality in Laboratory Medicine Conference: Excellence in Practice
  • Dunn EJ, Moga PJ. Patient misidentification in laboratory medicine: a qualitative analysis of 227 root cause analysis reports in the Veteran Affairs Health Administration. Arch Pathol Lab Med 2010;134:244-255.
  • Nakhleh RE. Lost, mislabeled, and unsuitable surgical pathology specimens. Pathology Case Reviews 2003;8:98-102.
  • Norgan AP, Simon KE, Feehan BA, et al. Radio-frequency identification specimen tracking improve quality in anatomic pathology. Arch Pathol Lab Med 2019;143 [epub ahead of print].
  • Fisher JA, Monahan T. Tracking the social dimensions of RFID systems in hospitals. Int J Med Inform 2008;77:176-183.

This project was funded under contract number 75Q80119C00004 from the Agency for Healthcare Research and Quality (AHRQ), U.S. Department of Health and Human Services. The authors are solely responsible for this report’s contents, findings, and conclusions, which do not necessarily represent the views of AHRQ. Readers should not interpret any statement in this report as an official position of AHRQ or of the U.S. Department of Health and Human Services. None of the authors has any affiliation or financial involvement that conflicts with the material presented in this report. View AHRQ Disclaimers

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Supplement on Deepening our Understanding of Quality in Australia (DUQuA). March 11, 2020

Influencing the Quality, Risk and Safety Movement in Healthcare: In Conversation with International Leaders. November 4, 2015

Achieving the Promise of Health Information Technology: Improving Care Through Patient Access to Their Records. October 7, 2015

A Call for Change: The 2011 Commonwealth Fund Survey of Public Views of the U.S. Health System. May 11, 2011

Medication-Related Adverse Outcomes in U.S. Hospitals and Emergency Departments, 2008. April 27, 2011

Do you hear what I hear? Communication practices about medications between physicians and clients with chronic illness in Canada. April 2, 2014

Why doctors should own up to their medical mistakes. February 13, 2013

Preventing wrong-site surgery in Minnesota: a 5-year journey. December 19, 2012

Evidence Brief: Implementation of High Reliability Organization Principles. July 24, 2019

Current State of Diagnostic Safety: Implications for Research, Practice, and Policy. February 7, 2024

Implementing a safer and more reliable system to monitor test results at a teaching university-affiliated facility in a family medicine group: a quality improvement process report. November 1, 2023

The nature, causes, and clinical impact of errors in the clinical laboratory testing process leading to diagnostic error: a voluntary incident report analysis. October 25, 2023

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case study 9 2 specimen quality concerns

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  1. Solved CASE STUDY 9-2: SPECIMEN QUALITY CONCERNSA newly

    CASE STUDY 9-2: SPECIMEN QUALITY CONCERNS. A newly hired phlebotomist who has just recently finished phlebotomy training, is preparing to draw the last GTT specimen on an outpatient. Being the first GTT performed without supervision, the phlebotomist is proud of how well it has gone so far. The patient has good veins in both arms, so the ...

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  6. How healthcare facilities can improve outcomes with specimen quality

    Additional specimen quality control best practices that both Yates and Jones recommended include: Scheduling regular requisition checks in which randomly selected forms are matched with the information in an online order entry system. Standardizing products and utilization. According to Yates, some facilities use as many as five different ...

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  9. Pre-analytical pitfalls: Missing and mislabeled specimens

    Errors stemming from missing or mislabeled specimens are costly to institutions. In one study, the average cost due to a single irretrievable lost specimen was $548, and cumulative errors over a three-month period increased this value to $20,430.12 In contrast, a retrievable lost specimen incurred a cost of $401.25 per event, with a three-month ...

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    Although case studies have been discussed extensively in the literature, little has been written about the specific steps one may use to conduct case study research effectively (Gagnon, 2010; Hancock & Algozzine, 2016).Baskarada (2014) also emphasized the need to have a succinct guideline that can be practically followed as it is actually tough to execute a case study well in practice.

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    The patient has good veins in both arms so he has been alternating arms. Case Study (Specimen Quality Concerns) Steve, a newly hired phlebotomist who has just recently finished phlebotomy training, is preparing to draw the last GTT specimen on an outpatient. This is the first GTT he has performed without supervision, and he is proud of how well ...

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    A case study is one of the most commonly used methodologies of social research. This article attempts to look into the various dimensions of a case study research strategy, the different epistemological strands which determine the particular case study type and approach adopted in the field, discusses the factors which can enhance the effectiveness of a case study research, and the debate ...

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    Case Study 9-2: Specimen Quality Concerns Ray, a newly hired phlebotomist who has just recently hemolyzed and unsuitable for testing, so that the test finished phlebotomy training, is preparing to draw the will have to be repeated. Ray is completely surprised Last GTT specimen on an outpatient. This is the first by this because there were no ...

  14. SPECIMEN QUALITY CONCERNS

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    1. Introduction. Modern day diagnostics heavily depends on accurate laboratory test results, and hence it is necessary to ensure the reliability and accuracy of lab results [].A medical lab plays a crucial role in providing timely and accurate results of laboratory investigations essential for patient management [].One of the busiest areas of the clinical laboratory is the hematology laboratory.

  16. Continuing to enhance the quality of case study methodology in health

    Introduction. The popularity of case study research methodology in Health Services Research (HSR) has grown over the past 40 years. 1 This may be attributed to a shift towards the use of implementation research and a newfound appreciation of contextual factors affecting the uptake of evidence-based interventions within diverse settings. 2 Incorporating context-specific information on the ...

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    Cambridge IGCSE ® (9 1) BUSINESS STUDIES 0986/02 Paper 2 Case Study For examination from 2020 SPECIMEN PAPER 1 hour 30 minutes You must answer on the question paper. You will need: Insert (enclosed) INSTRUCTIONS Answer all questions. Use a black or dark blue pen. You may use an HB pencil for any diagrams or graphs.

  20. Solved ERRORS CASE STUDY 9-1: PROBLEM SITES, COMPLICATIONS,

    The patient says yes and tells her that the pain is radiating down CASE STUDY 9-2: SPECIMEN QUALITY CONCERNS Ray, a newly hired phlebotomist who has just recently finished phlebotomy training, is preparing to draw the last GTT specimen on an outpatient. This is the first GIT he has performed without supervision, and he is proud of how well he ...

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    Using DMAIC to Improve Nursing Shift-Change Assignments. In this case study involving an anonymous hospital, nursing department leaders sought to improve efficiency of their staff's shift change assignments. Upon value stream mapping the process, team members identified the shift nursing report took 43 minutes on average to complete.

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    Case Study 9-2: Specimen Quality Concerns. Ray, a newly hired phlebotomist who has just recently finished phlebotomy training, is preparing to draw the last GTT specimen on an outpatient. This is the first GTT he…