Risk adjustment using administrative data: impact of a diagnosis-type indicator.
about
International variation in the definition of 'main condition' in ICD-coded health data.Utilizing national patient-register data to control for comorbidity in prognostic studies.Capturing diagnosis-timing in ICD-coded hospital data: recommendations from the WHO ICD-11 topic advisory group on quality and safetyData quality in an information-rich environment: Canada as an example.Accuracy of hospital report cards based on administrative data.Comparison of Rx-defined morbidity groups and diagnosis- based risk adjusters for predicting healthcare costs in Taiwan.The Elixhauser comorbidity method outperforms the Charlson index in predicting inpatient death after orthopaedic surgery.Effect of Present-on-Admission (POA) Reporting Accuracy on Hospital Performance Assessments Using Risk-Adjusted Mortality.Procedure-based severity index for inpatients: development and validation using administrative database.Comorbidity risk-adjustment strategies are comparable among persons with hip fractureThe influence of socio-economic status and multimorbidity patterns on healthcare costs: a six-year follow-up under a universal healthcare system.Inpatient mortality after orthopaedic surgery.Predicting in-hospital mortality in patients with cirrhosis: results differ across risk adjustment methods.Socio-demographic differences in adherence to evidence-based drug therapy after hospital discharge from acute myocardial infarction: a population-based cohort study in Rome, Italy
P2860
Q30834860-D6BBF3BA-8728-4224-8115-9D8EB6C7B773Q30867393-1AFFCB9A-43A6-4760-9421-24F560ECD0D4Q30966095-5826D62F-D8E7-4DDD-9918-E6071A265A06Q30998314-8AFAF393-63BE-4049-882D-DEAD990CF193Q31052930-F8626C5B-9D72-40AA-A024-02A4D34AA954Q33579539-FDD1092F-902A-41ED-B962-B8B6E8455B4EQ33984153-EC23B15D-CB5E-4DA6-B325-07FBE8D8788CQ35670759-9CF3C16C-A65B-47AD-AEE9-47A0447DFD00Q35685367-B5A46F69-9838-4E1F-87DD-2F2CCA96BBA8Q37121480-13DABD83-C53E-4318-BC01-5E3C9A17591BQ37152097-4E253654-10AF-46A5-B9BF-4B190178E466Q39035814-F6891C01-8487-4BA9-B913-DFF4AC61AEE1Q51859962-B019C72F-AE87-48A6-868B-41371C87D976Q57209638-B2AFA19C-B1B0-4722-9E4D-069D78479E01
P2860
Risk adjustment using administrative data: impact of a diagnosis-type indicator.
description
2001 nî lūn-bûn
@nan
2001 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
name
Risk adjustment using administrative data: impact of a diagnosis-type indicator.
@ast
Risk adjustment using administrative data: impact of a diagnosis-type indicator.
@en
type
label
Risk adjustment using administrative data: impact of a diagnosis-type indicator.
@ast
Risk adjustment using administrative data: impact of a diagnosis-type indicator.
@en
prefLabel
Risk adjustment using administrative data: impact of a diagnosis-type indicator.
@ast
Risk adjustment using administrative data: impact of a diagnosis-type indicator.
@en
P2860
P1476
Risk adjustment using administrative data: impact of a diagnosis-type indicator.
@en
P2860
P304
P356
10.1046/J.1525-1497.2001.016008519.X
P50
P577
2001-08-01T00:00:00Z
P5875
P6179
1012425414