Healthcare Data in Decision Making: Analysis of Supplied Patient Data- Healthcare Report Writing

Healthcare Data in Decision Making: Analysis of Supplied Patient Data- Healthcare Report Writing Assignment

Task:

This assessment item focuses on the development of data analysis and presentation skills in order to make recommendations that are congruent with contemporary literature.

Background: 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’.

Locate the UTS Hospital data file from the Data Files folder in UTSOnline.

Refer to the topic area below. 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

Produce a written report no longer than 2500 words for the LHD council based on the supplied data (UTS Hospital data file) on the topic given below.

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.

Includes tables or figures as appropriate (for example, to profile the target group or to show comparisons).

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

Recommended process:

Research the background of the issue in the peer reviewed and ‘grey’ literature.

Design and document a data analysis plan.

Conduct and document the analysis described in the data analysis strategy.

Present results with tables or figures as appropriate.

Discuss and make recommendations that integrate the background and the results.

Other notes:

Appropriately reference all material; however you do not need to reference the supplied dataset.

Ensure you read the assessment criteria.

Develop an understanding of each of the data elements in the dataset. Do not limit your analysis to the most obvious variables.

The supplied dataset is relatively small so it is not expected that the analyses here would be definitive. You are expected to treat the dataset as if there were more cases than there actually are , so that the solutions you may suggest should be considered to be more valid than they will actually be with this selection of data. You do not need to note this in the report .

Secondary diagnoses are defined as any diagnosis after the principal.

Appendices may be included but will not contribute to the grade for this assessment.

Topic: Antenatal admissions

Requirements:

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

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 numberof readmissions in AR-DRGs O65A/B

make specific recommendations to reduce the number of readmissions for patients in AR-DRGs O65A/B