This research is a field investigation to collect basic information about the safe and efficient use of physical
restraint in hospitals and for the ultimate minimization of restraint use.
The objects of this study were sixty-four patients. They were restrained physically. Add their 32 family
members, 24 nurses of two university hospitals in Seoul were also involved in the study. From April 16, to
May 27, 1999.
Research data were collected throughout the observation and interview process. Also, the data was
analyzed using frequencies and field study notes that were invented by researchers.
Results
of this study were as follows:
1. According to the sex and age distinction; male's restraint use was 75%, female's was 25% and pre-schoolage
children 39.1%, middle age 26.5%, and senior citizens 20.3%.
According to the disease distinction; neuro-system was 35.9%, respiratory system was 21.9%. In the Ward,
40.6% of ICU patients were restrained and 39.0% of pediatric ward children were also to restraint. 70.3% of
patients were restrained under 5days, while 10.9% were restrained 10days.
2. Types of physical restraints were wrist restraint (45.21%), arm board (35.62%), leg restraint (8.22%), chest
restraint (6.85%), elbow restraint (2.74%) and mitten restraint (1.37%).
3. The percentage was 3.5%, which was in 64 restrained out of 1828 hospitalized people. At 1st investigation,
the ratio was 3.5%, the 2nd was 3.0% and the 3rd was 3.9%.
4. The reasons of using the physical restraint were 'to protect implements' (72.84%), 'to protect patients'
(18.52%), 'to protect an operative site' (8.64%).
5. The result of the patients; family and nurses' response analysis was: 'It seems to be safe', 'It uses
properly', 'It is convenient for relatives and nurses', 'It is helpful to treatment', 'Objective think it is not
restraint' were 79.9%. 'It is discomfort and stuffy', 'The implement is ineffective' were 21.1%. However in
interview of the patients who can do verbally communication, 6 of 7 was responded that 'It is stuffy and
uncomfortable'.
6. When restraint is used, the main decision is usually made by the nurses 42.2% of the time. The statistics
read as thus: nurses and the physician in charge 31.3%, nurses and family 12.5%, physician's order 7.8%,
only family 6.2%. Although the record of restraint was only 15.6% so that only 10 cases out of all the 26
ICU patients restrained.
This study shows that physical restraints which of infringe independent-right of patients, are used
without using criterion, explaining the agreement. Also, subjective decision of physician, nurses, and family
make the decision of using restraint. So development of practice manuals and rules for restraint
implementation is urgent.
This study was designed to build a theoretical frame to provide practical help to prevent and manage adolescent internet game addiction by developing a prediction model through a comprehensive analysis of related factors.
The participants were 1,318 students studying in elementary, middle, and high schools in Seoul and Gyeonggi Province, Korea. Collected data were analyzed using the SPSS program. Decision Tree Analysis using the Clementine program was applied to build an optimum and significant prediction model to predict internet game addiction related to various factors, especially parent related factors.
From the data analyses, the prediction model for factors related to internet game addiction presented with 5 pathways. Causative factors included gender, type of school, siblings, economic status, religion, time spent alone, gaming place, payment to Internet cafe@, frequency, duration, parent's ability to use internet, occupation (mother), trust (father), expectations regarding adolescent's study (mother), supervising (both parents), rearing attitude (both parents).
The results suggest preventive and managerial nursing programs for specific groups by path. Use of this predictive model can expand the role of school nurses, not only in counseling addicted adolescents but also, in developing and carrying out programs with parents and approaching adolescents individually through databases and computer programming.