We have located links that may give you full text access.
Journal Article
Research Support, Non-U.S. Gov't
Transfer Frequency as a Measure of Hospital Capability and Regionalization.
Health Services Research 2017 December
OBJECTIVE: To provide metrics for quantifying the capability of hospitals and the degree of care regionalization.
DATA SOURCE: Administrative database covering more than 10 million hospital encounters during a 3-year period (2012-2014) in Massachusetts.
PRINCIPAL FINDINGS: We calculated the condition-specific probabilities of transfer for all acute care hospitals in Massachusetts and devised two new metrics, the Hospital Capability Index (HCI) and the Regionalization Index (RI), for analyzing hospital systems. The HCI had face validity, accurately differentiating academic, teaching, and community hospitals of varying size. Individual hospital capabilities were clearly revealed in "fingerprints" of their condition-specific transfer behavior. The RI also performed well, with those of specific conditions successfully quantifying the concentration of care arising from regulatory and public health activity. The median RI of all conditions within the Massachusetts health care system was 0.21 (IQR, 0.13-0.36), with a long tail of conditions that were very highly regionalized. Application of the HCI and RI metrics together across the entire state identified the degree of interdependence among its hospitals.
CONCLUSIONS: Condition-specific transfer activity, as captured in the HCI and RI, provides quantitative measures of hospital capability and regionalization of care.
DATA SOURCE: Administrative database covering more than 10 million hospital encounters during a 3-year period (2012-2014) in Massachusetts.
PRINCIPAL FINDINGS: We calculated the condition-specific probabilities of transfer for all acute care hospitals in Massachusetts and devised two new metrics, the Hospital Capability Index (HCI) and the Regionalization Index (RI), for analyzing hospital systems. The HCI had face validity, accurately differentiating academic, teaching, and community hospitals of varying size. Individual hospital capabilities were clearly revealed in "fingerprints" of their condition-specific transfer behavior. The RI also performed well, with those of specific conditions successfully quantifying the concentration of care arising from regulatory and public health activity. The median RI of all conditions within the Massachusetts health care system was 0.21 (IQR, 0.13-0.36), with a long tail of conditions that were very highly regionalized. Application of the HCI and RI metrics together across the entire state identified the degree of interdependence among its hospitals.
CONCLUSIONS: Condition-specific transfer activity, as captured in the HCI and RI, provides quantitative measures of hospital capability and regionalization of care.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app