Data-driven approach to identifying potential laboratory overuse in general internal medicine (GIM) inpatients.

Healthcare quality improvement Laboratory medicine Quality improvement

Journal

BMJ open quality
ISSN: 2399-6641
Titre abrégé: BMJ Open Qual
Pays: England
ID NLM: 101710381

Informations de publication

Date de publication:
07 2023
Historique:
received: 13 01 2023
accepted: 13 07 2023
medline: 28 7 2023
pubmed: 27 7 2023
entrez: 26 7 2023
Statut: ppublish

Résumé

Reducing laboratory test overuse is important for high quality, patient-centred care. Identifying priorities to reduce low value testing remains a challenge. To develop a simple, data-driven approach to identify potential sources of laboratory overuse by combining the total cost, proportion of abnormal results and physician-level variation in use of laboratory tests. A multicentre, retrospective study at three academic hospitals in Toronto, Canada. All general internal medicine (GIM) hospitalisations between 1 April 2010 and 31 October 2017. There were 106 813 GIM hospitalisations during the study period, with median hospital length-of-stay of 4.6 days (IQR: 2.33-9.19). There were 21 tests which had a cumulative cost >US$15 400 at all three sites. The costliest test was plasma electrolytes (US$4 907 775), the test with the lowest proportion of abnormal results was red cell folate (0.2%) and the test with the greatest physician-level variation in use was antiphospholipid antibodies (coefficient of variation 3.08). The five tests with the highest cumulative rank based on greatest cost, lowest proportion of abnormal results and highest physician-level variation were: (1) lactate, (2) antiphospholipid antibodies, (3) magnesium, (4) troponin and (5) partial thromboplastin time. In addition, this method identified unique tests that may be a potential source of laboratory overuse at each hospital. A simple multidimensional, data-driven approach combining cost, proportion of abnormal results and physician-level variation can inform interventions to reduce laboratory test overuse. Reducing low value laboratory testing is important to promote high value, patient-centred care.

Sections du résumé

BACKGROUND
Reducing laboratory test overuse is important for high quality, patient-centred care. Identifying priorities to reduce low value testing remains a challenge.
OBJECTIVE
To develop a simple, data-driven approach to identify potential sources of laboratory overuse by combining the total cost, proportion of abnormal results and physician-level variation in use of laboratory tests.
DESIGN, SETTING AND PARTICIPANTS
A multicentre, retrospective study at three academic hospitals in Toronto, Canada. All general internal medicine (GIM) hospitalisations between 1 April 2010 and 31 October 2017.
RESULTS
There were 106 813 GIM hospitalisations during the study period, with median hospital length-of-stay of 4.6 days (IQR: 2.33-9.19). There were 21 tests which had a cumulative cost >US$15 400 at all three sites. The costliest test was plasma electrolytes (US$4 907 775), the test with the lowest proportion of abnormal results was red cell folate (0.2%) and the test with the greatest physician-level variation in use was antiphospholipid antibodies (coefficient of variation 3.08). The five tests with the highest cumulative rank based on greatest cost, lowest proportion of abnormal results and highest physician-level variation were: (1) lactate, (2) antiphospholipid antibodies, (3) magnesium, (4) troponin and (5) partial thromboplastin time. In addition, this method identified unique tests that may be a potential source of laboratory overuse at each hospital.
CONCLUSIONS
A simple multidimensional, data-driven approach combining cost, proportion of abnormal results and physician-level variation can inform interventions to reduce laboratory test overuse. Reducing low value laboratory testing is important to promote high value, patient-centred care.

Identifiants

pubmed: 37495257
pii: bmjoq-2023-002261
doi: 10.1136/bmjoq-2023-002261
pmc: PMC10373691
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Adina S Weinerman (AS)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada Adina.Weinerman@sunnybrook.ca.
Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

Yishan Guo (Y)

Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada.

Sudipta Saha (S)

Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada.

Paul M Yip (PM)

Precision Diagnostics and Therapeutics Program, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.

Lauren Lapointe-Shaw (L)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Department of Medicine, University Health Network, Toronto, Ontario, Canada.
Institute for Health Policy, Management, and Evaluation, Toronto, Ontario, Canada.

Michael Fralick (M)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Department of Medicine, Sinai Health System, Toronto, Ontario, Canada.

Janice L Kwan (JL)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Department of Medicine, Sinai Health System, Toronto, Ontario, Canada.

Thomas E MacMillan (TE)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Department of Medicine, University Health Network, Toronto, Ontario, Canada.

Jessica Liu (J)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Department of Medicine, University Health Network, Toronto, Ontario, Canada.

Shail Rawal (S)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Department of Medicine, University Health Network, Toronto, Ontario, Canada.

Kathleen A Sheehan (KA)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Centre for Mental Health, University Health Network, Toronto, Ontario, Canada.
Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.

Janet Simons (J)

Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, Ontario, Canada.

Terence Tang (T)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Institute of Better Health, Trillium Health Partners, Mississauga, Ontario, Canada.

Sacha Bhatia (S)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Cardiology, University Health Network, Toronto, Ontario, Canada.

Fahad Razak (F)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada.
Institute for Health Policy, Management, and Evaluation, Toronto, Ontario, Canada.
Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.

Amol A Verma (AA)

Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada.
Institute for Health Policy, Management, and Evaluation, Toronto, Ontario, Canada.
Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.

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