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. 2024 Apr 22;11(3):303-311.
doi: 10.1515/dx-2023-0184. eCollection 2024 Aug 1.

Development of a disease-based hospital-level diagnostic intensity index

Affiliations

Development of a disease-based hospital-level diagnostic intensity index

Michael I Ellenbogen et al. Diagnosis (Berl). .

Abstract

Objectives: Low-value care is associated with increased healthcare costs and direct harm to patients. We sought to develop and validate a simple diagnostic intensity index (DII) to quantify hospital-level diagnostic intensity, defined by the prevalence of advanced imaging among patients with selected clinical diagnoses that may not require imaging, and to describe hospital characteristics associated with high diagnostic intensity.

Methods: We utilized State Inpatient Database data for inpatient hospitalizations with one or more pre-defined discharge diagnoses at acute care hospitals. We measured receipt of advanced imaging for an associated diagnosis. Candidate metrics were defined by the proportion of inpatients at a hospital with a given diagnosis who underwent associated imaging. Candidate metrics exhibiting temporal stability and internal consistency were included in the final DII. Hospitals were stratified according to the DII, and the relationship between hospital characteristics and DII score was described. Multilevel regression was used to externally validate the index using pre-specified Medicare county-level cost measures, a Dartmouth Atlas measure, and a previously developed hospital-level utilization index.

Results: This novel DII, comprised of eight metrics, correlated in a dose-dependent fashion with four of these five measures. The strongest relationship was with imaging costs (odds ratio of 3.41 of being in a higher DII tertile when comparing tertiles three and one of imaging costs (95 % CI 2.02-5.75)).

Conclusions: A small set of medical conditions and related imaging can be used to draw meaningful inferences more broadly on hospital diagnostic intensity. This could be used to better understand hospital characteristics associated with low-value care.

Keywords: diagnostic testing; hospital variation; low-value care; overuse.

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Conflict of interest statement

Competing interests: The authors state no conflict of interest.

Figures

Figure 1:
Figure 1:
Box plots of candidate metric values across hospitals, showing interquartile range and median. Four metrics for post-partum hemorrhage were excluded because most values were zero. AKI, acute kidney injury; COPD, chronic obstructive pulmonary disease; CT, computed tomography; enceph, encephalopathy; HF, heart failure; MRI, magnetic resonance imaging; PE, pulmonary embolism; pyelo, pyelonephritis; US, ultrasound.
Figure 2:
Figure 2:
Odds ratio of being classified in a higher tertile of the disease-based diagnostic intensity index calculated as a function of being in a given tertile of the external validation measure, with a random intercept for state effects. Imaging includes X-ray, computed tomography, magnetic resonance, and ultrasound. Procedures include major surgeries, minor surgeries, non-invasive procedures including endoscopy, and radiation. Tests include standard blood tests and urine tests, microbiology, electrocardiograms, and stress tests.

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