identify important points in your analyses that might suggest interventions to reduce… 1 a

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 O65A/B ‘Other Antenatal Admissions (with or without complicating diagnoses)’ . The report must contain a data analysis strategy, the analysis, and appropriate reference to the literature. Note that the governing council is primarily interested in the analysis, and expects clear recommendations that apply to, and are implementable by, ‘UTS Hospital’.
Requirements:

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1. Locate the UTS Hospital data file from the Data Files folder in utsOnline.
2. Refer to the topic area below.
3. Investigate the issues you are asked to, by:
   a. Researching the issue in the literature
   b. Designing a data analysis strategy
   c. Conducting the analysis
4. Produce a written report no longer than 2000 words for the LHD council based on the supplied data (UTS Hospital data file) on the topic given below.
5. The report must contain brief background literature, a data analysis, results (including tables and figures), and discussion and appropriate recommendations that integrate the findings and the background literature.
6. Includes tables or figures as appropriate (for example, to profile the target group or to show comparisons).
   Topic: Antenatal admissions
   Report formats vary across disciplines. It is expected that students will use the following headings: Introduction
   Background (alternative heading: Literature)
   Data Analysis (alternative heading: Method)
   Results (alternative heading: Findings)
   Discussion & Recommendations
   Conclusion
   References

Requirements:
A. Background Literature
With reference to Australian and overseas literature, briefly:

Define these AR-DRGs, including the diagnoses usually associated with them
Describe the current prevalence & incidence of antenatal admissions to acute hospitals, and any relevant trends
Describe approaches used to decrease readmissions for antenatal admissions to acute hospitals

B. Analysis & Recommendations Analyse the UTS Hospital dataset as follows:

Create a profile of patients in AR-DRGs O65A/B 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)
include the proportion of the dataset that these patients comprise
compare this to a profile of all patients in this dataset

For patients in AR-DRGs O65A/B:

identify the most common principal and secondary diagnoses
identify the most common principal and secondary procedures
compare the number of readmissions for patients in AR-DRGs O65A/B to patients in related AR-DRGs, and/or the same MDCs

Based primarily on your analyses, but with reference to the literature:

identify important points in your analyses that might suggest interventions to reduce the number of readmissions in AR-DRGs O65A/B

make specific recommendations to reduce the number of readmissions for patients in AR-DRGs O6

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