Inappropriate laboratory testing in internal medicine inpatients: Prevalence, causes and interventions
Open accessAbstract
BACKGROUND: To reduce overutilization of laboratory testing many interventions have been tried, but selecting the most effective intervention for a given setting is challenging. To be sustainable, interventions need to align with healthcare providers' needs and daily practices. This study aimed to assess the extent of overutilization and the perspectives of healthcare providers, which may be used to guide the choice of intervention. METHODS: The extent of inappropriate laboratory testing in internal medicine inpatients was evaluated using a database. Surveys and focus groups were used to investigate healthcare providers' perceptions on its causes and solutions. RESULTS: On average, patients had 5.7 laboratory orders done during the first week of admission, whereas guidelines advise performing laboratory testing no more than twice per week. Repeat testing of normal test results occurred in up to 85% of patients. The frequency of laboratory testing was underestimated by survey responders, even though the majority of responders (78%) thought that laboratory tests are ordered too frequently. Residents were considered to be most responsible for laboratory test ordering.The primary causes of overutilization discussed were personal factors, such as a lack of awareness and knowledge, as well as feelings of insecurity. Regarding possible solutions, residents generally recommended educational interventions, whereas specialists tended to favour technical solutions such as lockouts. CONCLUSION: Inappropriate laboratory testing is common in internal medicine. The most important causes are a lack of awareness and knowledge, especially in residents. The intervention most favoured by residents is education, suggesting educational interventions may be most applicable.
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Cites
Three Approaches to Qualitative Content Analysis
Hsieh, H.-F., & Shannon, S. E. (2005) · Qualitative Health Research · doi:10.1177/1049732305276687 · Cited by 44,601 · see citing works
Why Don't Physicians Follow Clinical Practice Guidelines?: A Framework for Improvement
Cabana, M. D., Rand, C. S., Powe, N. R., Wu, A. W., Wilson, M. H., Abboud, P.-A. C., & Rubin, H. R. (1999) · JAMA · doi:10.1001/jama.282.15.1458 · Cited by 6,677 · see citing works
Defensive Medicine Among High-Risk Specialist Physicians in a Volatile Malpractice Environment
Studdert, D. M. (2005) · JAMA · doi:10.1001/jama.293.21.2609 · Cited by 1,270 · see citing works
‘Choosing Wisely’: a growing international campaign
Levinson, W. S., Kallewaard, M., Bhatia, R. S., Wolfson, D. B., Shortt, S., & Kerr, E. A. (2014) · BMJ Quality & Safety · doi:10.1136/bmjqs-2014-003821 · Cited by 654 · see citing works
Using focus groups in medical education research: AMEE Guide No. 91
Stalmeijer, R. E., McNaughton, N., & van Mook, W. (2014) · Medical Teacher · doi:10.3109/0142159x.2014.917165 · Cited by 617 · see citing works
The Landscape of Inappropriate Laboratory Testing: A 15-Year Meta-Analysis
Zhi, M., Ding, E. L., Theisen-Toupal, J., Whelan, J., & Arnaout, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078962 · Cited by 535 · see citing works
Improving Patient Care: The Implementation of Change in Health Care
(2013) · doi:10.1002/9781118525975 · Cited by 506 · see citing works
Why is the laboratory an afterthought for managed care organizations?
Forsman, R. W. (1996) · Clinical Chemistry · doi:10.1093/clinchem/42.5.813 · Cited by 388 · see citing works
van Walraven, C., & Naylor, C. D. (1998) · JAMA · doi:10.1001/jama.280.6.550 · Cited by 373 · see citing works
Using Excel and Word to Structure Qualitative Data
Ose, S. O. (2016) · Journal of Applied Social Science · doi:10.1177/1936724416664948 · Cited by 231 · see citing works
Linking laboratory and medication data: new opportunities for pharmacoepidemiological research
ten Berg, M. J., Huisman, A., van den Bemt, P. M. L. A., Schobben, A. F. A. M., Egberts, A. C. G., & van Solinge, W. W. (2007) · Clinical Chemical Laboratory Medicine · doi:10.1515/cclm.2007.009 · Cited by 156 · see citing works
Korenstein, D. R., Chimonas, S. C., Barrow, B. E., et al. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.3573 · Cited by 153 · see citing works
Bruns, A. H. W., Oosterheert, J. J., Hak, E., & Hoepelman, A. I. M. (2008) · European Respiratory Journal · doi:10.1183/09031936.00003608 · Cited by 115 · see citing works
Residents' self‐report on why they order perceived unnecessary inpatient laboratory tests
Sedrak, M. S., Patel, M. S., Ziemba, J. B., Murray, D., Kim, E. J., Dine, C. J., & Myers, J. S. (2016) · Journal of Hospital Medicine · doi:10.1002/jhm.2645 · Cited by 100 · see citing works
How to save costs by reducing unnecessary testing: Lean thinking in clinical practice
Vegting, I. L., van Beneden, M., Kramer, M. H. H., Thijs, A., Kostense, P. J., & Nanayakkara, P. W. B. (2011) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2011.07.003 · Cited by 89 · see citing works
Reducing Test Utilization in Hospital Settings: A Narrative Review
Bindraban, R. S., ten Berg, M. J., Naaktgeboren, C. A., Kramer, M. H. H., van Solinge, W. W., & Nanayakkara, P. W. B. (2018) · Annals of Laboratory Medicine · doi:10.3343/alm.2018.38.5.402 · Cited by 85 · see citing works
Self-citationIntolerance of error and culture of blame drive medical excess
Hoffman, J. R., & Kanzaria, H. K. (2014) · BMJ · doi:10.1136/bmj.g5702 · Cited by 79 · see citing works
Do We Now Know What Inappropriate Laboratory Utilization Is?
Hauser, R. G., & Shirts, B. H. (2014) · American Journal of Clinical Pathology · doi:10.1309/ajcpx1hiem4klgnu · Cited by 74 · see citing works
Effective implementation of change in healthcare: a systematic approach
Grol, R. P. T. M., & Wensing, M. (2013) · doi:10.1002/9781118525975.ch3 · Cited by 67 · see citing works
Valencia, V. E., Arora, V. M., Ranji, S. R., et al. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2017.6032 · Cited by 49 · see citing works
Roman, B. R., Yang, A. W., Masciale, J. N., & Korenstein, D. R. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2017.1634 · Cited by 31 · see citing works
Sarkar, M. K., Botz, C. M., & Laposata, M. (2017) · Diagnosis · doi:10.1515/dx-2016-0042 · Cited by 29 · see citing works
Strauss, R., Cressman, A. M., Cheung, M., et al. (2019) · BMJ Quality & Safety · doi:10.1136/bmjqs-2018-008991 · Cited by 27 · see citing works
Decreasing daily blood work in hospitals: What works and what doesn't
Jalbert, R., Gob, A., & Chin-Yee, I. H. (2019) · International Journal of Laboratory Hematology · doi:10.1111/ijlh.13015 · Cited by 27 · see citing works
Amylase testing for abdominal pain and suspected acute pancreatitis
Barbieri, J. S., RIGGIO, J. M., & Jaffe, R. C. (2016) · Journal of Hospital Medicine · doi:10.1002/jhm.2544 · Cited by 14 · see citing works
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Lab testing overload: a comprehensive analysis of overutilization in hospital-based settings
Shaik, T., Mahmood, R., Kanagala, S. G., Kaur, H., Mendpara, V., Gupta, V., Aggarwal, P., Anamika, F., Garg, N., & Jain, R. (2024) · Baylor University Medical Center Proceedings · doi:10.1080/08998280.2023.2288788 · Cited by 22 · see citing works
The economics of diagnostic safety
Slawomirski, L., Kelly, D., de Bienassis, K., Kallas, K.-A., & Klazinga, N. (2025) · OECD Health Working Papers · doi:10.1787/fc61057a-en · Cited by 20 · see citing works
Liang, A. S., Amrollahi, F., Jiang, Y., Corbin, C. K., Kim, G. Y. E., Mui, D., Crowell, T., Acharya, A., Mony, S., Punnathanam, S., et al. (2026) · NEJM AI · doi:10.1056/aics2501086
- Authors
- Vrijsen, B. E. L., Naaktgeboren, C. A., Vos, L. M., van Solinge, W. W., Kaasjager, H. A. H., & ten Berg, M. J.
- Affiliations
- University Medical Center Utrecht (NL)
- Utrecht University (NL)
- Corresponding author
- Vrijsen, B.E.L.
- Venue
- Annals of Medicine and Surgery
- Published
- 2020-03
- Volume
- 51
- Pages
- 48-53
- ISSN
- 2049-0801 (ISSN-L)
- PMC
- PMC7021522
- OpenAlex
- W3004662576
- Cited by
- 55
- References
- 25
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 5 · 2023: 9 · 2022: 7 · 2021: 11 · 2020: 11
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Annals of Medicine and Surgery (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Healthcare cost, quality, practices
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
- Keywords
- inappropriate laboratory testing, medical inpatients, healthcare provider perceptions, residents (medical training), lockouts, educational intervention
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