This paper examines the quality of routinely collected information in an Iranian hospital in a trial of casemix classification. Australian Refined Diagnosis Related Groups (AR-DRG) were used to classify patient episodes. There were 327 DRGs identified, of which 20% had only 1 case. The grouper program identified invalid records for 4% of total separations. Approximately 4.5% of cases were classified into error DRGs and 3.4% were ungroupable. No complication and comorbidity effects were identified with 93% of total cases. R2 (variance in length of stay explained) was 44% for untrimmed cases, increasing to 63%, 57% and 58% after trimming by L3H3, IQR and 10th-95th percentile methods respectively
There are currently few meaningful data and analyses about variation in the use of pathology tests c...
The introduction of casemix funding for Australian acute health care services has challenged Social ...
Objective. This article considers the possibility that using secondary diagnoses extracted from hosp...
Objective: To describe Iran's hospital activity with Australian Refined Diagnosis Related Groups (AR...
The idea of using casemix classification to manage hospital services is not new, but has been limite...
Casemix is a tool that classifies patients according to their clinical similarity and the homogeneit...
ABSTRACT Casemix is a tool that classifies patients according to their clinical similarity and the h...
Diagnosis related groups (DRGs) were the first health management tool to group patients in clinical ...
Diagnosis-related group (DRG) system is a classification system widely used in health managements, t...
Background Casemix groupings have been increasingly used to manage resources in health services over...
Identifying the cost of hospital outputs, particularly acute inpatients measured by Diagnosis Relate...
The use of casemix classifications to assist in the analysis of patient-based information is becomin...
With the introduction of a diagnosis related group (DRG) classification system in the Netherlands in...
The case-mix classification consists in identifying a series of clinical conditions, so that they ca...
Background Hospitals in Iran have mainly been managed in a centralised system and funded historicall...
There are currently few meaningful data and analyses about variation in the use of pathology tests c...
The introduction of casemix funding for Australian acute health care services has challenged Social ...
Objective. This article considers the possibility that using secondary diagnoses extracted from hosp...
Objective: To describe Iran's hospital activity with Australian Refined Diagnosis Related Groups (AR...
The idea of using casemix classification to manage hospital services is not new, but has been limite...
Casemix is a tool that classifies patients according to their clinical similarity and the homogeneit...
ABSTRACT Casemix is a tool that classifies patients according to their clinical similarity and the h...
Diagnosis related groups (DRGs) were the first health management tool to group patients in clinical ...
Diagnosis-related group (DRG) system is a classification system widely used in health managements, t...
Background Casemix groupings have been increasingly used to manage resources in health services over...
Identifying the cost of hospital outputs, particularly acute inpatients measured by Diagnosis Relate...
The use of casemix classifications to assist in the analysis of patient-based information is becomin...
With the introduction of a diagnosis related group (DRG) classification system in the Netherlands in...
The case-mix classification consists in identifying a series of clinical conditions, so that they ca...
Background Hospitals in Iran have mainly been managed in a centralised system and funded historicall...
There are currently few meaningful data and analyses about variation in the use of pathology tests c...
The introduction of casemix funding for Australian acute health care services has challenged Social ...
Objective. This article considers the possibility that using secondary diagnoses extracted from hosp...