Analysis of supplied patient data
You have been engaged as a consultant to the Local Health District (LHD). The LHD governing
council requires you to develop a report based on data from ‘UTS Hospital’ (an Australian public hospital situated in New South Wales) to address issues related to AR-DRGs E69A/B/C ‘Bronchitis& Asthma (with or without comorbidities or complicating diagnoses; in AR-DRG v4.1, also split by age)’. The governing council is primarily interested in the analysis, and expects clear recommendations that apply to, and are implementable by, ‘UTS Hospital’.
Locate the UTS Hospital data file from the Data Files folder in UTSOnline.
Produce a written report no longer than 2500 words for the LHD council based on the supplieddata (UTS Hospital data file) and the following topic.
The report must contain brief background literature, a data analysis strategy, the analysis, andappropriate recommendations that integrate the findings and the background literature.
Includes tables or figures as appropriate (for example, to profile the target group or to show comparisons).
Topic: Asthma & Bronchitis (AR-DRG E69A/B/C)
(Note: there is an issue with this categorisation but that is not in your purview; in-depth discussion of that issue is not necessary)
A: Background Literature
With reference to Australian and overseas literature, briefly:
Define these AR-DRGs, including the diagnoses usually associated with them
2.Describe the current prevalence & incidence of antenatal admissions to acute hospitals, and any relevant trends
3.Describe approaches used to prevent hospitalisation and decrease length of stay for asthma &bronchitis
B: Analysis
Analyse the UTS Hospital dataset as follows:
Create a profile of patients in AR-DRGs E69a, E69b & E69c
1.1 include both individual and episode characteristics (e.g. age [an individual characteristic]
and length of stay [an episode characteristic], and others you identify in the literature)
1.2 include the proportion of the dataset that these patients comprise
1.3 compare this to a profile of all patients in this dataset
For patients in AR-DRGs E69a, E69b & E69c:
2.1 identify the most common principal and secondary diagnoses
2.2 identify the most common principal and secondary procedures
2.3 compare the length of stay for patients in AR-DRGs E69a, E69b & E69c to patients in related AR-DRGs, and/or the same MDCs
C: Analysis
1.Based primarily on your analyses, but with reference to the literature:
Identify important points in your analyses that might suggest interventions to reduce the incidence of hospitalisation and length of stay in AR-DRGs E69a, E69b & E69c
2.Make specific recommendations to reduce the incidence of hospitalisation and length of stay for patients in AR-DRGs E69a, E69b & E69c
) and referencing
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