PE4S239 - Data and intelligence 01 Sep 2021 - 31 Aug 2027 | Version 1
Associated Module Information
| Module Code: | PE4S239 | ||
|---|---|---|---|
| Module Title: | Data and intelligence | ||
| Faculty: | Faculty of Life Sciences and Education | ||
| Faculty Group: | Allied Health and Chiropractic | ||
| Faculty Sub Group: | Clinical Services | ||
| Module Leader: | Karl New | ||
| Module Team: | |||
| First Intended Intake: | SEP 2021 | Final Year of Intake: | 2026 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100260 - healthcare science | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Sep 2021 |
| Valid To | 31 Aug 2027 |
Module Aims
To critically use relevant data collected by a variety of methods and techniques to survey and assess a population’s health.
Content Summary
Understand the public health knowledge approach to survey and assess the health and wellbeing of populations, and population groups, nationally and internationally. Survey and assessment covers sources, uses of data from various sources, sources include demographic, health and disease (mortality and morbidity), and wider services e.g. education, housing etc. Included are techniques and methods for analysing data, and the ethical and legal frameworks for data use. The limitations of data uses, analysis and ethical and legal frameworks
Indicative content to include topics outlined in notes and/or any other relevant current topics:
Week 1
Sources and uses of data.
Importance of consistency in definitions and (public health) language.
Sources and uses of routine mortality and morbidity data, including primary care data, notification and disease registration data; and biases and artefacts in population data.
Week 2
Surveys and epidemiology.
Methods to measure health status, including subjective health status and health surveys.
Risk, epidemiology, stats.
Week 3
Population statistics: Techniques and methods for analysing population health data – quantitative.
Including types of statistical analyses used, trend analysis and modelling.
Week 4
Population statistics: Techniques and methods for analysing population health data - surveillance qualitative.
Including the use of surveillance data and qualitative data.
Week 5
Data from the use of health and other services.
Other service use and provision e.g., housing, education, justice, social care and provision, data for service planning; indices of needs for and outcome of services.
The strengths, analysis, uses, interpretation and limitations of routine health information.
Health impact assessment, needs assessment.
Legal and ethical frameworks for the use of data.
Relevance to country
Including data security and data protection.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Independent Study | 60 |
| Directed Study | 99 |
| Formative Assessment - Independent | 1 |
| Groupwork | 40 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Critically apply appropriate techniques and methods to the analysis of health data for populations and population groups. |
| LO2 | Critically appraise and apply appropriate data and survey methods to assess the health and wellbeing of populations and population groups within an applicable legal and ethical framework. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Synchronous Online Assessment | Time-constrained assessment (Online) 1 | End of Module examination related to data and intelligence | 60 | N/A | 30 | No | 40 |
| Asynchronous Assessment | Self Reflective Assessment 1 | Reflective Journal | 0 | 600 | 10 | No | 40 |
| Asynchronous Assessment | Project 1 | Completion of a group project related to data and intelligence. | 0 | N/A | 20 | No | 40 |
| Asynchronous Assessment | Case study 1 | Case based scenarios and discussion Forum related to data and intelligence | 0 | N/A | 40 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Time-constrained assessment (Online) 1 | ✔ | ✔ | |
| Self Reflective Assessment 1 | ✔ | ✔ | |
| Project 1 | ✔ | ✔ | |
| Case study 1 | ✔ | ✔ | |