Compare the Average Length of Stay between Acute Care and Not Acute Care Hospitals

Group project topic  Comparing Average Length of Stay between Acute Care and Not Acute Care Hospitals

Step #2: Performing Qualitative analysis

2.1. This section of the assignment is aimed at giving students an opportunity to select and analyze at least 5 articles using the ‘Review Manager 5’ tools to analyze the risk of bias for 5 selected articles following these steps:

– The methodological quality and risk of bias evaluation of the selected studies should be  conducted independently by two team members, following the Cochrane Handbook for Systematic Reviews (Higgins, 2011), a domain-based evaluation for each study should be done across five domains:

– Selection bias,

– Performance bias,

– Detection bias,

– Attrition bias and,

– Reporting bias.

The judgment of studies for potential bias should be indicated by assigning ‘low risk’, ‘high risk, or ‘unclear risk’, for each respective source of bias.


Cochrane Handbook for Systematic Reviews of Interventions. (n.d.). Retrieved July 12, 2019, from

2.2. Report your finding using the Bias-Tables and Bias-Plots.

                                              Table 1: Literature Review Analysis



Authors, Year of Publication


Policy evaluated

Study design/

Time Period


Study Population

Relevant Findings/


Author1, YYYY  
Author2, YYYY  
Author3, YYYY  
Author4, YYYY  
Author5, YYYY  


Table 2. Literature Review, Table of Biases

  Selection Bias Performance Bias Detection Bias Attrition Bias Reporting Bias



Systematic differences between baseline characteristics of the groups that are compared. Systematic differences between groups in the care that is provided, or in exposure to factors other than the interventions of interest. Systematic differences between groups in how outcomes are determined. Systematic differences between groups in withdrawals from a study. Systematic differences between reported and unreported findings.
Author1, 2019 Y Y Y Y Y
Author2, 2019
Author3, 2019
Author4, 2019
Author5, 2019


Y: Low risk

N: High risk

U: Unclear


Step #3: Performing Quantitative data analysis design, this is very similar to the Individual Assignments 1 and 2 (please look at the instruction for more details).

For this section:

3.1.  Select one of the class data sets

3.2. Identify relevant variables

3.3. Choose the statistical method you plan to use for your analysis

3.4. Identify statistical software your team will use to run the statistical analysis focusing on EXCEL or RStudio (BONUS points) as the main software (you can use any other software such as SAS, STATA or SPSS, but the master-code will be available only for RStudio)

3.5. Analyze the data, state your conclusions and support them, this section should be included:

3.5.1. Hypothesis or research questions with a short paragraph to discuss the issue.

3.5.2.  Research Method for this section first report the table of variables, then define the variables using the example provided in step-by-step instruction.

3.5.3.  Report the software and type of analysis you performed in this section included descriptive table and plots

3.5.4. Discuss your findings

3.5.5. Discussion: for this section compare your finding with the LR (literature review) you performed in the first section

3.5.6. Recommendations: suggest a few policy recommendations based on your finding and LR.


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