STAT6000 Statistics for Public Health: Survey Design and Analysis

This assignment, completed for the STAT6000 Statistics for Public Health course, focuses on designing a short telephone survey to assess the demographic characteristics and health service utilization within a local community health service catchment area. The assignment is divided into two parts. Part 1 requires the student to identify and contact two distinct groups within the community: those who use the health service and those who do not. This involves discussing potential data sources for participant selection, outlining the advantages and disadvantages of each source, and describing the chosen sampling method and recruitment process. Part 2 presents a detailed questionnaire designed to gather information on patient demographics, primary health care problems, health service usage, satisfaction levels, and suggestions for improvement. The student provides a rationale for the questionnaire's structure and content, aligning it with the objectives of the survey to collect valid and reliable data and minimize bias.

Running head: SURVEY QUESTION
Survey Question
Name of the Student
Name of the University
Author Note

1SURVEY QUESTION
Part 1
It is very crucial to access the health care services in a particular community, so that
they can have adequate access of the services available in a particular community. In case of
designing a telephonic interview session for the demographic population of the Australian
community, accessing the information of that community is very crucial.
In order to collect the information related to the population of Australia, the data of
Australian Bureau of Statistics can be used as this data base is quite reliable for analysing the
characteristics of the population of a particular community. The population group data
collected from Australian Bureau of Statistics is very advantageous as it is the representative
of the overall Australian population and thus it will be very easy for the researcher to review
the actual scenario of the population of the country. On the other hand, the data base also has
a few limitation. In the population data, the physical characteristics of the population is not
present and so it will create problem for the researcher whether the subject population has
any kind of disease or not (Tam & Clarke, 2015). Many researchers believe that the random
sampling method is very effective as it has less chances of bias due to the randomness of
selecting the sample size. This random sampling technique helps the researcher to assess the
actual result of the selected population related to the use of health care services available to
that region. However, it may possible that the researcher may miss a particular community
population that should be in the sample population of the research (Hox, Moerbeek & Van
de Schoot, 2017).
Part 2
Questionnaire
Name of the Patient-
Age-

2SURVEY QUESTION
Sex-
1. In which location do you live?
2. What is the primary health care problem in your location?
3. Do you have used any health care services?
4. How many type of services do you have used till date?
5. What is the main problem felt by you during the service use?
6. Do you think there are chances of improvement related to the services in the locality?
7. What type of health care services are required in your locality?
8. Does the health care facility utilize the modern technology? If yes then please specify.
9. Rate your health care service use in a scale of five where 1 depicts strongly
dissatisfied and 5 depicts highly satisfied with the service.
Strongly dissatisfied 1 2 3 4 5 strongly Satisfied
10. Rate the availability of the health care services in your locality in a scale of 5 where
1 depicts highly disappointed and 5 depicts Very Happy with the service.
Highly disappointed 1 2 3 4 5 Very Happy.

3SURVEY QUESTION
References
Hox, J. J., Moerbeek, M., & Van de Schoot, R. (2017). Multilevel analysis: Techniques and
applications. Routledge.
Tam, S. M., & Clarke, F. (2015). Big data, official statistics and some initiatives by the
Australian Bureau of Statistics. International Statistical Review, 83(3), 436-448.