"Risk Adjustment" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The use of severity-of-illness measures, such as age, to estimate the risk (measurable or predictable chance of loss, injury or death) to which a patient is subject before receiving some health care intervention. This adjustment allows comparison of performance and quality across organizations, practitioners, and communities. (from JCAHO, Lexikon, 1994)
| Descriptor ID |
D020379
|
| MeSH Number(s) |
N04.452.871.715.800 N04.761.789.800 N05.715.360.750.625.700.690.800
|
| Concept/Terms |
Risk Adjustment- Risk Adjustment
- Adjustment, Risk
- Adjustments, Risk
- Risk Adjustments
Case-Mix Adjustment- Case-Mix Adjustment
- Adjustment, Case-Mix
- Adjustments, Case-Mix
- Case Mix Adjustment
- Case-Mix Adjustments
|
Below are MeSH descriptors whose meaning is more general than "Risk Adjustment".
Below are MeSH descriptors whose meaning is more specific than "Risk Adjustment".
This graph shows the total number of publications written about "Risk Adjustment" by people in this website by year, and whether "Risk Adjustment" was a major or minor topic of these publications.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2016 | 1 | 1 | 2 |
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Below are the most recent publications written about "Risk Adjustment" by people in Profiles.
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Martins PN, Clavien PA, Jalan R, Ghinolfi D. A Call for Randomization in Clinical Trials of Liver Machine Perfusion Preservation. Hepatology. 2021 06; 73(6):2586-2591.
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Franklin PD, Miozzari H, Christofilopoulos P, Hoffmeyer P, Ayers DC, L?bbeke A. Important patient characteristics differ prior to total knee arthroplasty and total hip arthroplasty between Switzerland and the United States. BMC Musculoskelet Disord. 2017 01 11; 18(1):14.
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Behl-Chadha B, Savageau JA, Bharel M, Gagnon M, Lei PP, Hillerns C. Comparison of Patient Experience between a Practice for Homeless Patients and Other Practices Engaged in a Patient-Centered Medical Home Initiative. J Health Care Poor Underserved. 2017; 28(3):1151-1164.
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Hwang AS, Atlas SJ, Hong J, Ashburner JM, Zai AH, Grant RW, Hong CS. Defining Team Effort Involved in Patient Care from the Primary Care Physician's Perspective. J Gen Intern Med. 2017 Mar; 32(3):269-276.
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Glance LG, Kellermann AL, Osler TM, Li Y, Li W, Dick AW. Impact of Risk Adjustment for Socioeconomic Status on Risk-adjusted Surgical Readmission Rates. Ann Surg. 2016 Apr; 263(4):698-704.
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Ho KM, Williams TA, Harahsheh Y, Higgins TL. Using patient admission characteristics alone to predict mortality of critically ill patients: A comparison of 3 prognostic scores. J Crit Care. 2016 Feb; 31(1):21-5.
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Ayers DC, Fehring TK, Odum SM, Franklin PD. Using joint registry data from FORCE-TJR to improve the accuracy of risk-adjustment prediction models for thirty-day readmission after total hip replacement and total knee replacement. J Bone Joint Surg Am. 2015 Apr 15; 97(8):668-71.
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Kramer AA, Higgins TL, Zimmerman JE. Comparing observed and predicted mortality among ICUs using different prognostic systems: why do performance assessments differ? Crit Care Med. 2015 Feb; 43(2):261-9.
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Park L, Andrade D, Mastey A, Sun J, Hicks L. Institution specific risk factors for 30 day readmission at a community hospital: a retrospective observational study. BMC Health Serv Res. 2014 Jan 27; 14:40.
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Kramer AA, Higgins TL, Zimmerman JE. Intensive care unit readmissions in U.S. hospitals: patient characteristics, risk factors, and outcomes. Crit Care Med. 2012 Jan; 40(1):3-10.