ArticleMedical journal of the Islamic Republic of Iran2016
A review on laboratory tests' utilization: A trigger for cutting costs and quality improvement in health care settings.
Article in Medical journal of the Islamic Republic of Iran, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Laboratory test ordering in inpatient hospitals: a systematic review on the effects and features of clinical decision support systems.BMC medical informatics and decision making · 2021Pooled it
- Evidence-Based Laboratory Testing Algorithms: A Strategic Approach to Improving Diagnostic Accuracy.Cureus · 2026Review
- Comparison of usability evaluation methods for a health information system: heuristic evaluation versus cognitive walkthrough method.BMC medical informatics and decision making · 2022Article
- Development of clinical-guideline-based mobile application and its effect on head CT scan utilization in neurology and neurosurgery departments.BMC medical informatics and decision making · 2022Article
- Laboratory Test Utilization Practices in Hamad Medical Corporation; Role of Laboratory Supervisors and Clinicians in Improper Test Utilization; a Descriptive Pilot Study.Journal of multidisciplinary healthcare · 2022Article
- Impact of an Interprofessional Collaborative Quality Improvement Initiative to Decrease Inappropriate Thyroid Function Testing.Hospital pharmacy · 2021Article
- Article
- Medical Overuse in the Iranian Healthcare System: A Systematic Scoping Review and Practical Recommendations for Decreasing Medical Overuse During Unexpected COVID-19 Pandemic Opportunity.Risk management and healthcare policy · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConsidering 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.
methodsInappropriate 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.
resultsA 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.
conclusionWhereas, 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.
Indexed as
Identifiers
27493909PMC4972058What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.