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Characterizing the relationship between diagnostic intensity and quality of care
- Source :
- Diagnosis (Berlin, Germany)References. 9(1)
- Publication Year :
- 2021
-
Abstract
- Objectives The relationship between diagnostic intensity and quality of care has not been well-characterized at the hospital level. We performed an exploratory analysis to better delineate this relationship using a hospital-level diagnostic overuse index and accepted hospital quality metrics (readmissions and mortality). Methods We previously developed and published a hospital-level diagnostic overuse index. A hospital’s overuse index value (which ranges from 0 to 0.986, with larger numbers indicating more overuse) was our predictor variable of interest. The outcome variables were excess readmission ratios and mortality rates for common medical conditions, which CMS publicly reports. The model controlled for Elixhauser comorbidity score, hospital bed size, hospital teaching status, and random effects that vary by state. Results We did not find a statistically significant relationship between our overuse index and the quality measures we evaluated. Conclusions The lack of a significant relationship between diagnostic intensity and quality, at least as measured by our overuse index and the tested quality metrics, suggests that well-targeted efforts to reduce diagnostic overuse in hospitals may not adversely impact quality of care.
- Subjects :
- medicine.medical_specialty
Index (economics)
Hospital bed
media_common.quotation_subject
Clinical Biochemistry
Medicine (miscellaneous)
01 natural sciences
Patient Readmission
03 medical and health sciences
0302 clinical medicine
medicine
Humans
Quality (business)
030212 general & internal medicine
0101 mathematics
Quality of care
media_common
Quality of Health Care
business.industry
Health Policy
Mortality rate
010102 general mathematics
Biochemistry (medical)
Public Health, Environmental and Occupational Health
Hospital level
Random effects model
Hospitals
Intensity (physics)
Emergency medicine
business
Subjects
Details
- ISSN :
- 2194802X
- Volume :
- 9
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Diagnosis (Berlin, Germany)References
- Accession number :
- edsair.doi.dedup.....6d17804158f166a60d778c79e48251d6