EFFECTIVE DECISION MAKING FROM FUNDAMENTAL TO COMPLEX CARE - 2023/4
Module code: NUR3172
Module Overview
The module enables students to critically analyse their care decisions using a model of decision making to frame their analysis. They will explore the current innovations in practice that facilitate effective decision making and evaluate how human factors can impact upon decisions, including service user empowerment.
Module provider
School of Health Sciences
Module Leader
MCBRIDE Jackie (Health Sci.)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 6
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 114
Lecture Hours: 18
Seminar Hours: 18
Module Availability
Semester 1
Module content
Indicative content includes:
- Critical thinking
- Clinical reasoning
- Clinical decision making acrosss a range of contexts
- Theories and models of decsion making
- Ethics
- Patient empowerment
- Risk assessment, management
- Patient safety
- E technology
Assessment pattern
| Assessment type | Unit of assessment | Weighting |
|---|---|---|
| Coursework | Assignment | 100 |
Alternative Assessment
N/A
Assessment Strategy
The assessment strategy is designed to provide students with the opportunity to demonstrate their understanding of clinical decision making and their role as future registrants in delivering safe and effective care within a dynamic healthcare environment.
Thus, the summative assessment for this module consists of:
- Exploration of a clinical decision the student has made or been involved in from practice using a model of decision making to structure the assignment. 2000 word assignment
Formative assessment
Formative feedback on their assignment
Quiz style learning checks using e technology
Feedback
Students will receive feedback in workshops as a group
On line feedback from peers and the teaching team via discussion board on the e-learning portal
Summative feedback via SurreyLearn on assignment
Module aims
- Assist the student to critically evaluate and articulate their care decisions to reduce risk and promote safety for clients with fundamental and complex needs.
Learning outcomes
| Attributes Developed | ||
| 1 | Articulate the rationale for and processes used when making decisions and the influence personal judgement has on these | PT |
| 2 | Analyse and apply decision making theories and models using critical thinking, active listening and questioning to evaluate care and improve decision making processes in a professional, compassionate, empowering and ethically sensitive manner | KCPT |
| 3 | To evaluate the role of risk assessment and risk management strategies to a range of care decisions to ensure safe and effective care | KCT |
| 4 | To explore the role of e-technology and decision trees in clinical decision making | KCPT |
Attributes Developed
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
Develop the students confidence and competence in decision making in preparation for practice as a registrant to ensure safe and effective patient/ client care
The learning and teaching methods include:
- Lectures
- Workshops
- Reflective practice
- Formative feedback
- Peer feedback
- Simulation
- E learning
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list
https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: NUR3172
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2023/4 academic year.