HEALTH DATA FOR DECISION MAKING
PHE5HDD
2018
Credit points: 15
Subject outline
In this subject, students learn about the sources, interpretation and use of health-related data, including epidemiological surveillance databases and quantitative and qualitative clinical and research data. The collection, analysis, and interpretation of epidemiological and health services data to inform decision-making in public health practice (including health management and policy formulation) is emphasised. Students will gain skills in critical appraisal and application of evidence-based approaches to protecting, promotion, maintaining, and restoring the health of the community.
School: School of Psychology & Public Health
Credit points: 15
Subject Co-ordinator: Leila Karimi
Available to Study Abroad Students: Yes
Subject year level: Year Level 4 - UG/Hons/1st Yr PG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: N/A
Co-requisites: N/A
Incompatible subjects: PHE4HDE or PHE5HDE and must not be admitted in the following course codes HMPHC, HZPHID, HZHPHID, HZPHHA
Equivalent subjects: N/A
Special conditions: Offered subject to sufficient enrolment
Graduate capabilities & intended learning outcomes
01. Identify and demonstrate understanding of the diverse sources of data which may be deployed in health care decision-making
- Activities:
- Group assignment, Individual assignment I
02. Initiate different research and data collection strategies to match decision-making requirements
- Activities:
- Group assignment, Individual assignment I, II
03. Critically evaluate research evidence generated by others and assess its usefulness
- Activities:
- Group assignment, Individual assignment I, II
04. Develop effective and robust arguments with appropriately presented data to support evidence-based health care decision-making
- Activities:
- Group assignment, Individual assignment II
City Campus, 2018, Semester 2, Blended
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Leila Karimi
Class requirements
Unscheduled Online ClassWeek: 31 - 43
Twelve 2.0 hours unscheduled online class per study period on any day including weekend during the day from week 31 to week 43 and delivered via online.
Lecture/WorkshopWeek: 32 - 40
Three 5.0 hours lecture/workshop per study period on weekdays during the day from week 32 to week 40 and delivered via face-to-face.
"10am -3pm on:
09/08/2018
06/09/2018
04/10/2018"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| one 1,000-word assignment | This assignment is undertaken early in the semester, to enable feedback to be applied to subsequent assessment. | 20 | 01, 02, 03, 04 |
| one 2,000-word essay | 40 | 01, 02, 03, 04 | |
| Online group discussions (2500 words equivalent total) | 40 | 01, 02, 03, 04 |