Factors Associated with Routine Medical Check-Up Attendance:…

Assessment 4: Details and instructions

Completion requirements

Assessment 4
Written assessment
Word count/length 2000 words equivalent
SILOs
  • Comprehend the fundamental principles of epidemiology and biostatistics (SILO 1).
  • Explain how the principles of epidemiology and biostatistics can be applied in public health (SILO 2).
  • Explain, differentiate, and apply fundamental concepts of epidemiology and biostatistics (SILO 3).
  • Recognise, generate, interpret and communicate descriptive and basic inferential statistics (SILO 5).
Graduate capabilities
  • DISCIPLINE KNOWLEDGE AND SKILLS
  • INQUIRY AND ANALYSIS – Critical Thinking and Problem Solving
  • INQUIRY AND ANALYSIS – Research and Evidence-Based Inquiry
Generative AI use

The applicable AI use category is: AI Planning

You may use AI tools to:

  • revise or understand concepts
  • brainstorm ideas
  • structure/outline responses
  • clarify task requirements

You should not use AI to analyse or interpret data, nor generate text for submission.

As AI use is permitted in this assessment you are required to complete and submit an AI Acknowledgment after submitting your assessment.

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Task details

Prepare a written briefing document. Using the dataset provided, identify demographic, social and behavioural factors that are associated with routine check-up attendance.

Assessment criteria

This assessment will measure your ability to:

  • Write an effective summary that clearly articulates a key message (25%)
  • A summary of the design of the BRFSS, its limitations and a comparison with a peer-reviewed paper (10%)
  • Description of the population (20%)
  • Examination of the association between four social and/or behavioural factors and routine check-up attendance (40%)
  • Appropriately format and organise the written assignment (5%)

Refer to the Rubric for marking and feedback information.

Instructions

Scenario:

A generation ago, people used to see their doctor only when they were sick or dying. Today, preventative health care is becoming commonplace as people become more educated and empowered about their own health. Regular, routine medical check-ups can help find potential health issues before they become a problem. Early detection of problems gives the best chance for getting the right treatment quickly, avoiding any complications.

You have been employed as part of an active public health campaign that is aiming to increase routine 12-monthly check-ups. Your job is to analyse a subset of variables (as indicated below) and describe the association between these variables and routine check-up attendance and highlight the people with lower rates of check-ups in the last 12 months where a targeted campaign would be of most benefit.

The Behavioral Risk Factor Surveillance System (BRFSS) is a collaborative project between all of the states in the United States (US) and participating US territories and the Centers for Disease Control and Prevention (CDC). The BRFSS is a system of ongoing health-related telephone surveys designed to collect data on health-related risk behaviours, chronic health conditions and use of preventive services from the non-institutionalised adult population (18 years) residing in the United States. Using the prepared BRFSS data, identify demographic, social and behavioural factors that are associated with routine check- up attendance.

Dataset: The data set is updated each time the subject runs. You can access the relevant file on the main assessment page under Assignment 4.

Format:

Your written briefing document must consist of a 250-word executive summary and a detailed structured results section. This template will assist you with the format and information required.

Executive Summary (Marks: 25)

The 250-word summary should identify demographic, social and behavioural factors that are associated with routine check-up attendance in a statistically valid, clear and concise manner that can be understood by someone with minimal knowledge of epidemiology and biostatistics. You must identify a group or groups of people where a targeted campaign would be of most benefit.

Results:

The BRFSS:

  • A short summary of the study design of the BRFSS and a brief discussion of its limitations (no more than 250 words (Marks: 6)
  • Find a peer-reviewed paper in the literature that quantitatively investigates the determinants of routine check-up attendance. Compare the designs between the study described in that paper and BRFSS (not more than 150 words). (Marks: 4) (Note: When you search for a peer-reviewed paper, avoid literature reviews or papers that analysed BRFSS data)

Description of the population and analysis (no more than 1350 words):

1) By analysing the BRFSS dataset, answer the following questions:

  • In your dataset, what percentage of participants reported routine check-up attendance? (Marks: 5)
  • Create a table of routine check-up attendance and 3 demographic factors, one of which must be binary, one numerical and one multi-category categorical (either nominal or ordinal). (Marks: 15)
    • Each cell should contain the appropriate summary measure and 95% confidence interval
    • The final column in the table should contain the p-value for statistical tests of difference or independence (i.e., tests that we covered in week 6). Footnotes should be used to indicate which statistical tests were used.

2) Examine the association between 4 social and/or behavioural factors and routine check-up attendance:

  • In an appropriate manner, present the results of analysis into the effect of four social and/or behavioural factors on routine check-up attendance. You must analyse a binary, numeric, nominal and ordinal factor. (Marks: 20)
    • For each factor you should report:
      • Variable name and data type
      • Name of measure calculated
      • Results of statistical analysis performed
      • Statistical interpretation
      • The Stata output (including visible code) e.g.
Figure 1
Stata output example

  • For one of the identified factors, you should explore the possibility of confounding or effect modification by sex. (Marks: 10)
    • Perform appropriate analysis
    • Present STATA output (including visible code if applicable)
    • Report the results in a table
    • Interpret your result
  • Conduct a multivariable regression and present the results, including visible Stata output, of the adjusted regression model by including the four factors you examined in your analysis of social and behavioural factors. (Marks: 10)
    • Report the results in a table.
    • Interpret your result.

Resources and readings relevant for assessment

  • The data file can be found on the main Assessment page under Assessment 4.
  • The Behavioral Risk Factor Surveillance System (BRFSS)
  • Assessment 4 template

WRITE MY PAPER

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