Professional and Personal Physical Therapist Development through Service Learning in Collaboration with a Prisoner Reinsertion Program: A Qualitative Study.
Isabel Rodriguez-CostaMa Dolores González-RiveraCatherine OrtegaJoana-Marina Llabrés-MateuMaría Blanco MoralesVanesa Abuín-PorrasBelén Díaz-PulidoPublished in: International journal of environmental research and public health (2020)
There is a great concern whether Physical Therapy students upon completion of their educational program are ready and equipped with the requisite skills to construct and implement a successful patient intervention with culturally diverse groups. The purpose of this study is to describe the professional and personal physical therapist development of Physical Therapy students after participating in Solidarity Activities in Collaboration with a Prisoner reinsertion program as a service-learning course. A qualitative approach was used. A convenience sample of twenty physical therapy students doing service learning and one teaching professor were included. Student diaries were analyzed. Semi-structured interviews were done to explore five students' and the professor's judgements. Internal and external observations and filling out structure field-notes were also used as data triangulation in order to build the conceptual model. The main findings include that the application of knowledge and practice of skills in different environments are the most important skills attained with this service learning. Five key themes emerged from the data analysis, namely: application of knowledge, adaptation to different environments, improving communication with patients, assisting people and providing treatment with self-confidence. A recommendation is that Physical Therapy programs include workplace practice in different environments to enhance the development of professionalism among students.
Keyphrases
- healthcare
- high school
- mental health
- quality improvement
- data analysis
- medical students
- primary care
- end stage renal disease
- newly diagnosed
- physical activity
- ejection fraction
- case report
- public health
- social media
- peritoneal dialysis
- electronic health record
- machine learning
- combination therapy
- deep learning
- patient reported
- big data