[O-ED-05-4] Physical therapist clinical training progress information was analyzed by text mining
―The inquiry by the training place visit by a co-occurrence network trial of the visualization―
Keywords:Clinical training, visualization of the progressive notebook, text mining
【Purpose】
In the clinical training of the physical therapist（following, PT）, it lasts for a case report and a daily notebook, many divergences including the investigation learning that are imposed during training, and were demanded, and the burden was big quantitatively in terms of time. We tried to clarify this fact by objective data handling.
【Methods】
We explained this action beforehand and intended for the leader of training 5 facilities where the agreement was provided and the person in charge, nine trainee and three teachers of our academy. And we visited each facility once a week for the hearing of students and RPT. We performed analysis using the technique called“text mining”in this report in order to evade risk as much as possible.
Soft“KH Coder”which I used this time abolishes“the manual labor”that can become arbitrary on choosing the word, and operation enables freedom in making it and coexistence of the objectivity by stepping on a procedure to show summarizing the whole data by a multivariate analysis, and showing it and a coding rule.
【Results】
As a result, the positive item showed a tendency to become higher in the middle stage of clinical training. And negative became decreased after the fourth week. In addition, as a result of co-occurrence network by the text mining, each comments of progress note tended to change every week.
【Discussion】
As a result of co-occurrence network from a progressive notebook, the data said that teacher's intervention were necessary that adaptation to the environment of the student and support about the on-site learning.
In the clinical training of the physical therapist（following, PT）, it lasts for a case report and a daily notebook, many divergences including the investigation learning that are imposed during training, and were demanded, and the burden was big quantitatively in terms of time. We tried to clarify this fact by objective data handling.
【Methods】
We explained this action beforehand and intended for the leader of training 5 facilities where the agreement was provided and the person in charge, nine trainee and three teachers of our academy. And we visited each facility once a week for the hearing of students and RPT. We performed analysis using the technique called“text mining”in this report in order to evade risk as much as possible.
Soft“KH Coder”which I used this time abolishes“the manual labor”that can become arbitrary on choosing the word, and operation enables freedom in making it and coexistence of the objectivity by stepping on a procedure to show summarizing the whole data by a multivariate analysis, and showing it and a coding rule.
【Results】
As a result, the positive item showed a tendency to become higher in the middle stage of clinical training. And negative became decreased after the fourth week. In addition, as a result of co-occurrence network by the text mining, each comments of progress note tended to change every week.
【Discussion】
As a result of co-occurrence network from a progressive notebook, the data said that teacher's intervention were necessary that adaptation to the environment of the student and support about the on-site learning.