Nursing of Clients with Mental or Substance Abuse Problems (5 ECTS)
Code: SX00DZ93-3070
General information
- Enrollment
- 05.05.2025 - 18.05.2025
- Registration for the implementation has ended.
- Timing
- 11.08.2025 - 17.10.2025
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Virtual portion
- 4 ECTS
- Mode of delivery
- On-campus and online
- Teaching languages
- Finnish
- Seats
- 20 - 60
- Degree programmes
- Midwifery
- Public Health Nursing
- Teachers
- Elina Puikkonen
- Anu Jokinen
- Kari Hyvärinen
- Teacher in charge
- Elina Puikkonen
- Scheduling groups
- Toteutuksen opetusryhmä 1 (Size: 30 . Open UAS : 0.)
- Toteutuksen opetusryhmä 2 (Size: 30 . Open UAS : 0.)
- Groups
-
SXQ24S1Terveydenhoitotyön tutkinto-ohjelma päivä
-
SXL24S1Kätilötyön tutkinto-ohjelma päivä
- Small groups
- 1
- 2
- Course
- SX00DZ93
Implementation has 11 reservations. Total duration of reservations is 44 h 0 min.
Time | Topic | Location |
---|---|---|
Wed 13.08.2025 time 08:45 - 11:45 (3 h 0 min) |
HYBRIDI: Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
MPC4011
Oppimistila
|
Tue 19.08.2025 time 08:45 - 14:15 (5 h 30 min) |
R3 & R4: Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
MPA2008
Oppimistila
|
Tue 19.08.2025 time 08:45 - 14:15 (5 h 30 min) |
R1 & R2: Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
MPA6012
Oppimistila
|
Tue 19.08.2025 time 14:30 - 16:00 (1 h 30 min) |
Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
MPC4012
Oppimistila
|
Tue 26.08.2025 time 08:45 - 16:00 (7 h 15 min) |
R3 & R4: Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
MPB6008
Oppimistila
|
Tue 26.08.2025 time 08:45 - 16:00 (7 h 15 min) |
R1 & R2: Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
MPB6007
Oppimistila
|
Fri 29.08.2025 time 08:00 - 09:00 (1 h 0 min) |
ETÄ: Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
|
Mon 01.09.2025 time 08:45 - 12:00 (3 h 15 min) |
Simulaatioryhmä 1: Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
MPB4013
Simulaatio, koti
MPB4023 Reflektointitila |
Mon 01.09.2025 time 12:45 - 16:00 (3 h 15 min) |
Simulaatioryhmä 2: Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
MPB4013
Simulaatio, koti
MPB4023 Reflektointitila |
Tue 02.09.2025 time 08:30 - 11:45 (3 h 15 min) |
Simulaatioryhmä 3: Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
MPB4027
Simulaatio, VR
MPB4023 Reflektointitila |
Fri 05.09.2025 time 12:45 - 16:00 (3 h 15 min) |
Simulaatioryhmä 4: Mielenterveys- ja päihdehoitotyö SX00DZ93-3070 |
MPB4013
Simulaatio, koti
MPB4025 Reflektointitila |
Location and time
11.08.2025 - 17.10.2025
Materials
The course will be conducted in Finnish.
Employer connections
Harjoittelu vko 37-41 (erillinen opintojakso)
Exam schedules
Medication calculation skills exam in Exam room
Retake (2) during the module.
Course exam will be held in Exam room
Retake (2 times)
Should the student fail these, the course must be completed as whole (see: Degree regulations)
Completion alternatives
N/A
Evaluation methods and criteria
Continuous assessment
Med calculation skills test (pass/fail)
Virtual learning and All independent course assignments (100%)
Evaluating competences evaluation criteria competent/intermediate level is used.
The grade is based in the exam (fail/1-5).
Student workload
1 op vastaa 27h opiskelijan työtä, 5op=135h.
Lähiopetuksen lisäksi varaathan aikaa myös verkkotehtävien tekemiseen ym.
Teaching methods
Learning methods:
Interactive lecture
Exercises,
Web-based learning (Moodle)
Flipped learning
simulation
Exam
Further information
This course will be conducted in Finnish only.
Clinical Practice 1&2 and Pharmacology 1 must be completed by the beginning of the module.
Participation in the orientation lecture is mandatory.
Also attendance in Laboratory 1: Mental health nursing and psychosocial helping methods and Simulation is mandatory. If you are unable to attend, please ask the teacher in advance how to proceed.
Absencenses must be compensate.
Psychology (1 cr) consists of two classes with preliminary assignments in Moodle and an exam and/or dialogue exam. To pass, you have to finish the pre-assignments in Moodle and pass the exams.
Students must confirm their attendance for a course implementation by being present when tuition begins or in another manner agreed with the lecturer; for example, by returning the first course assignment. Students who are unable to attend the first teaching session due to illness may also confirm their attendance by informing the lecturer of this in advance.
Recognition of Prior Learning (AHOT). Prior to participation in the course!
Framework in Nursing: Recovery approach is a personal journey rather than a set outcome, and one that may involve developing hope, a secure base and sense of self, supportive relationships, empowerment, social inclusion, coping skills, and meaning.
Course feedback:
Course feedback is collected from the implementation, which is an important part of the teaching and operational development work. By giving feedback, you have the opportunity to influence the content of the study courses and the development of teaching. With the help of the feedback, the teacher is able to develop his own implementations and teaching methods in his other study courses as well. Giving constructive feedback also develops your own working life skills. Course feedback is given anonymously, and the feedback provider cannot be identified.
Use of Artificial Intelligence:
Artificial intelligence can be used in the course assignment, but the student must clearly state its use. The course exam must be taken without the help of artificial intelligence. The student must use only his own knowledge, understanding and skills in the exam. The use of artificial intelligence in an exam or failure to report its use in assignments is treated as suspicion of cheating in accordance with Metropolia's disciplinary matters handling instructions
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
See the attachment "Framework for evaluation criteria of competence"
Further information
This course will be conducted in Finnish only.
Clinical Practice 1&2 and Pharmacology 1 must be completed by the beginning of the module.
Participation in the orientation lecture is mandatory.
Also attendance in Laboratory 1: Mental health nursing and psychosocial helping methods and Simulation is mandatory. If you are unable to attend, please ask the teacher in advance how to proceed.
Absencenses must be compensate.
Psychology (1 cr) consists of two classes with preliminary assignments in Moodle and an exam and/or dialogue exam. To pass, you have to finish the pre-assignments in Moodle and pass the exams.
Students must confirm their attendance for a course implementation by being present when tuition begins or in another manner agreed with the lecturer; for example, by returning the first course assignment. Students who are unable to attend the first teaching session due to illness may also confirm their attendance by informing the lecturer of this in advance.
Recognition of Prior Learning (AHOT). Prior to participation in the course!
Framework in Nursing: Recovery approach is a personal journey rather than a set outcome, and one that may involve developing hope, a secure base and sense of self, supportive relationships, empowerment, social inclusion, coping skills, and meaning.
Course feedback:
Course feedback is collected from the implementation, which is an important part of the teaching and operational development work. By giving feedback, you have the opportunity to influence the content of the study courses and the development of teaching. With the help of the feedback, the teacher is able to develop his own implementations and teaching methods in his other study courses as well. Giving constructive feedback also develops your own working life skills. Course feedback is given anonymously, and the feedback provider cannot be identified.
Use of Artificial Intelligence:
Artificial intelligence can be used in the course assignment, but the student must clearly state its use. The course exam must be taken without the help of artificial intelligence. The student must use only his own knowledge, understanding and skills in the exam. The use of artificial intelligence in an exam or failure to report its use in assignments is treated as suspicion of cheating in accordance with Metropolia's disciplinary matters handling instructions