Related references
Note: Only part of the references are listed.Trends and Variations in the Rates of Hospital Complications, Failure-to-Rescue and 30-Day Mortality in Surgical Patients in New South Wales, Australia, 2002-2009
Lixin Ou et al.
PLOS ONE (2014)
Variation in the recording of common health conditions in routine hospital data: study using linked survey and administrative data in New South Wales, Australia
Sanja Lujic et al.
BMJ OPEN (2014)
Rate of venous thromboembolism among surgical patients in Australian hospitals: a multicentre retrospective cohort study
Hassan Assareh et al.
BMJ OPEN (2014)
Concordance between administrative health data and medical records for diabetes status in coronary heart disease patients: a retrospective linked data study
Lee Nedkoff et al.
BMC MEDICAL RESEARCH METHODOLOGY (2013)
Data Quality Improvement in Clinical Databases Using Statistical Quality Control: Review and Case Study
Hassan Assareh et al.
THERAPEUTIC INNOVATION & REGULATORY SCIENCE (2013)
Hospital discharge diagnostic and procedure codes for upper gastro-intestinal cancer: how accurate are they?
Efty Stavrou et al.
BMC HEALTH SERVICES RESEARCH (2012)
Hospital-Level Variation in the Use of Intensive Care
Christopher W. Seymour et al.
HEALTH SERVICES RESEARCH (2012)
Systematic review of discharge coding accuracy
E. M. Burns et al.
JOURNAL OF PUBLIC HEALTH (2012)
Should measures of patient experience in primary care be adjusted for case mix? Evidence from the English General Practice Patient Survey
Charlotte Paddison et al.
BMJ QUALITY & SAFETY (2012)
Paying for hospital care: the experience with implementing activity-based funding in five European countries
Jacqueline O'Reilly et al.
HEALTH ECONOMICS POLICY AND LAW (2012)
Hospital Standardized Mortality Ratios: Sensitivity Analyses on the Impact of Coding
Alex Bottle et al.
HEALTH SERVICES RESEARCH (2011)
Geographic Variation in Diagnosis Frequency and Risk of Death Among Medicare Beneficiaries
H. Gilbert Welch et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2011)
Do coder characteristics influence validity of ICD-10 hospital discharge data?
Deirdre A. Hennessy et al.
BMC HEALTH SERVICES RESEARCH (2010)
Meaningful Variation in Performance What Does Variation in Quality Tell Us About Improving Quality?
Joseph V. Selby et al.
MEDICAL CARE (2010)
Meaningful Variation in Performance A Systematic Literature Review
Vicki Fung et al.
MEDICAL CARE (2010)
What can we learn from a decade of database audits? The Duke Clinical Research Institute experience, 1997-2006
Reza Rostami et al.
CLINICAL TRIALS (2009)
The risk and consequences of clinical miscoding due to inadequate medical documentation: a case study of the impact on health services funding
Ping Cheng et al.
HEALTH INFORMATION MANAGEMENT JOURNAL (2009)
Evidence of methodological bias in hospital standardised mortality ratios: retrospective database study of English hospitals
Mohammed A. Mohammed et al.
BMJ-BRITISH MEDICAL JOURNAL (2009)
Organisational factors affecting the quality of hospital clinical coding
Suong Santos et al.
HEALTH INFORMATION MANAGEMENT JOURNAL (2008)
Case-mix adjustment in non-randomised observational evaluations: the constant risk fallacy
Jon Nicholl
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH (2007)
The risk of upcoding in casemix systems: A comparative study
Paul J. M. Steinbusch et al.
HEALTH POLICY (2007)
Quality of diagnosis and procedure coding in ICD-10 administrative data
Toni Henderson et al.
MEDICAL CARE (2006)
A brief conceptual tutorial of multilevel analysis in social epidemiology:: using measures of clustering in multilevel logistic regression to investigate contextual phenomena
J Merlo et al.
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH (2006)
Infection prevention at day-care centres:: Feasibility and possible effects of intervention
K Hedin et al.
SCANDINAVIAN JOURNAL OF PRIMARY HEALTH CARE (2006)
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data
HD Quan et al.
MEDICAL CARE (2005)
Interstate comparisons of public hospital outputs using DRGs: Are they fair?
M Coory et al.
AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH (2005)
Hospital chart review provided more accurate comorbidity information than data from a general practitioner survey or an administrative database
DB Preen et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2004)
Analysing differences in clinical outcomes between hospitals
JM Simpson et al.
QUALITY & SAFETY IN HEALTH CARE (2003)
Accuracy of administrative data to assess comorbidity in patients with heart disease: an Australian perspective
H Powell et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2001)
Share Paper
