Variation in sensitivity and specificity of diverse diagnostic tests across health-care settings: a meta-epidemiological study

Doctors use diagnostic tests to help assess the likelihood if a patient has a certain condition. However, the accuracy of these tests may vary depending on where they are used-such as in primary care (where patients first seek help) or in specialist care (after being referred by a doctor). We wanted to find out how much test accuracy changes between these settings. To do this, we analyzed previous studies that reviewed the accuracy of different diagnostic tests. We compared how well these tests worked in patients who had not yet been referred to a specialist vs those who had. Our analysis included results from thirteen different diagnostic tests, covering symptoms, biomarkers (such as blood tests), a questionnaire, and an imaging test. We found that test accuracy varied depending on the type of test and the condition being diagnosed. Some tests had higher sensitivity (correctly identifying patients with the disease) or specificity (correctly identifying healthy individuals) in primary care, while in specialist care, the same test could perform better, worse, or similarly. There was no clear pattern that applied to all tests. This suggests that researchers should consider how test accuracy may differ across health-care settings when conducting and interpreting diagnostic test accuracy studies.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Epidemiology
Published
2025-05-06
DOI
https://doi.org/10.1016/j.jclinepi.2025.111816
Citations
2
Primary Topic
Healthcare cost, quality, practices
Type
article
Field-Weighted Citation Impact
5.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Variation in sensitivity and specificity of diverse diagnostic tests across health-care settings: a meta-epidemiological study

Michiel R. de Boer, Natasja Vijfschagt, Marjolein Y. Berger, Thomas Fanshawe et al.
2 citations
Journal of Clinical Epidemiology
Healthcare cost, quality, practices
5.63
article

Variation in sensitivity and specificity of diverse diagnostic tests across health-care settings: a meta-epidemiological study

Michiel R. de Boer, Natasja Vijfschagt, Marjolein Y. Berger, Thomas Fanshawe, Gea A. Holtman, Huibert Burger, Mariska Leeflang, Ann Van den Bruel
article en
2 citations

Abstract

Doctors use diagnostic tests to help assess the likelihood if a patient has a certain condition. However, the accuracy of these tests may vary depending on where they are used-such as in primary care (where patients first seek help) or in specialist care (after being referred by a doctor). We wanted to find out how much test accuracy changes between these settings. To do this, we analyzed previous studies that reviewed the accuracy of different diagnostic tests. We compared how well these tests worked in patients who had not yet been referred to a specialist vs those who had. Our analysis included results from thirteen different diagnostic tests, covering symptoms, biomarkers (such as blood tests), a questionnaire, and an imaging test. We found that test accuracy varied depending on the type of test and the condition being diagnosed. Some tests had higher sensitivity (correctly identifying patients with the disease) or specificity (correctly identifying healthy individuals) in primary care, while in specialist care, the same test could perform better, worse, or similarly. There was no clear pattern that applied to all tests. This suggests that researchers should consider how test accuracy may differ across health-care settings when conducting and interpreting diagnostic test accuracy studies.

Journal of Clinical EpidemiologyVol. 184
University Medical Center Groningen (NL), University of Oxford (GB), Amsterdam University Medical Centers (NL), University of Amsterdam (NL), KU Leuven (BE)
National Institute for Health and Care Research, Department of Health and Social Care, Rijksuniversiteit Groningen, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Universitair Medisch Centrum Groningen, Oxford Health NHS Foundation Trust
Good health and well-being
Openalex Percentile: Top 5%
Healthcare cost, quality, practices
5.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.