scholarly journals Coaching Theories for Physical Therapists.

1994 ◽  
Vol 9 (3) ◽  
pp. 157-162
Author(s):  
ISAO NARA ◽  
FUMIKO NAGATOMI
Keyword(s):  
2020 ◽  
Vol 11 (4) ◽  
pp. 7056-7063
Author(s):  
Vineel P ◽  
Gopala Krishna Alaparthi ◽  
Kalyana Chakravarthy Bairapareddy ◽  
Sampath Kumar Amaravadi

  Evidence-based Practice is defined as usage of current best evidence which is conscientious, explicit and judicious in deciding on the care of the individual. It is one of the vital decision-making processes in the medical profession. Though India is renowned as a center for medical education, there is scarcity regarding the literature on evidence-based practice. The survey aims to identify the prevalence of evidence-based practice among the physical therapists of Mangalore. The study protocol submitted to scientific research committee and Ethical institutional committee, K.M.C. Mangalore Manipal University. On approval, the questionnaire had been distributed among the physical therapists of Mangalore through mails and in the written form. The questionnaire consists of questions divided into eight sections: 1) consent form 2) current practice status; 3) demographic data; 4) behavior; 5) previous knowledge of E.B.P. resources; 6) skills and available resources; 7) Opinions regarding E.B.P.; 8)Perceived barriers regarding E.B.P. The emails were sent through Google forms to all the physical therapists, and hard copies were distributed among the selected physical therapists. The response rate for the emails was 13.1%. The response collected through hard copies was 178, whereas total hard copies distributed was 320, the participants rejected some due to lack of interest. In total, including emails and hard copy questionnaire 205 was the response rate in which all were practicing physical therapy as their primary profession. The findings of the study will pave the way to identify the status of evidence-based practice as well as help in designing promotional programmers for evidence-based practice.


2020 ◽  
pp. e20190067
Author(s):  
Michael E. Kalu ◽  
Sharon Switzer-Mclntrye ◽  
Martine Quesnel ◽  
Catherine Donnelly ◽  
Kathleen E. Norman

2020 ◽  
Author(s):  
Takumi Kawashita ◽  
Sara Shu ◽  
Teevit Dunnsiri ◽  
Andrew Fung ◽  
Brian Bui ◽  
...  

BACKGROUND YouTube is a popular American video-sharing platform that has been accessible to the public since 2005. Previous studies have shown that YouTube is potentially beneficial to medical education, but the quality of videos still need to be determined. OBJECTIVE The goal of this study is to understand the quality of the YouTube videos by evaluating the characteristics of physicians and the total number of views on videos regarding fibromyalgia. METHODS The term “fibromyalgia” was searched on the YouTube search engine by relevance, the default setting. Information from the first 100 videos were analyzed. A search was performed on Scopus to determine the h-index and fibromyalgia-related publication for any physician who was featured in the videos. RESULTS Of the top 100 videos, there were 64 academic videos, 18 vlogs, 5 interview videos, and 13 miscellaneous videos. Out of the 64 academic videos, 30 physicians, 7 Doctors of Philosophy (Ph.D.), 5 physical therapists, and 5 chiropractors were identified. The majority physicians have an adequate academic affiliation such as h-index and academic publications. CONCLUSIONS Residents and medical students will encounter a large number of academic videos on fibromyalgia on YouTube. This study suggests that many videos were posted for academic purposes and that the quality of the videos can be ensured to some degree. However, developing a better systemic evaluation of the quality of YouTube content is still necessary.


Author(s):  
Fahad Kamran ◽  
Kathryn Harrold ◽  
Jonathan Zwier ◽  
Wendy Carender ◽  
Tian Bao ◽  
...  

Abstract Background Recently, machine learning techniques have been applied to data collected from inertial measurement units to automatically assess balance, but rely on hand-engineered features. We explore the utility of machine learning to automatically extract important features from inertial measurement unit data for balance assessment. Findings Ten participants with balance concerns performed multiple balance exercises in a laboratory setting while wearing an inertial measurement unit on their lower back. Physical therapists watched video recordings of participants performing the exercises and rated balance on a 5-point scale. We trained machine learning models using different representations of the unprocessed inertial measurement unit data to estimate physical therapist ratings. On a held-out test set, we compared these learned models to one another, to participants’ self-assessments of balance, and to models trained using hand-engineered features. Utilizing the unprocessed kinematic data from the inertial measurement unit provided significant improvements over both self-assessments and models using hand-engineered features (AUROC of 0.806 vs. 0.768, 0.665). Conclusions Unprocessed data from an inertial measurement unit used as input to a machine learning model produced accurate estimates of balance performance. The ability to learn from unprocessed data presents a potentially generalizable approach for assessing balance without the need for labor-intensive feature engineering, while maintaining comparable model performance.


2021 ◽  
Vol 8 ◽  
pp. 237437352110343
Author(s):  
Fereshteh Saaei ◽  
Susan G Klappa

COVID-19 has accelerated the adoption of telehealth among various specialties, including rehabilitation. The fast-paced implementation of telerehabilitation has laid bare its challenges, providing an opportunity for innovation in order to enhance the experience of remote care. The purpose of this study sought to understand the attitudes toward telerehabilitation from physical therapist (PT) and patient perspectives. Two surveys administered to PTs, and the general patient population explored beliefs regarding telerehabilitation. There were a total of 289 participant responses in this study. There were 228 PT respondents and 61 patients who responded to the patient survey. Qualitative results describe current attitudes toward telerehabilitation. Results indicated both groups were receptive to virtual therapy sessions; however, some challenges were also reported. Current challenges and trends in utilizing telerehabilitation are further discussed.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 745-745
Author(s):  
Shawn Ladda

Abstract This presentation features how 3D Team nurse practitioners (NP) use results of clinical assessments to determine whether older adults and caregivers enrolled in the study are referred to other Team members; these assessment results are called “clinical triggers”. Other team members who receive referrals based on NP-generated clinical triggers include: Licensed Clinical Social Workers, who deliver Problem Solving Therapy to older adults with significant depressive symptoms; Occupational Therapists, who deliver an evidence-based dementia care intervention; Physical Therapists, who deliver an adapted Otago exercise program; Registered Dietician, who provides nutrition and dietary instruction; and Community Health Educator, who provides community resource information to address social determinants of health. All clinical triggers will be detailed in this presentation, along with a description of each intervention delivered by other team members except the Community Health Educator. Case studies will be presented to illustrate how study participants receive multiple interventions from the 3D Team.


2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Karthik V. Hariharan ◽  
Michael G. Timko ◽  
Christopher G. Bise ◽  
Meenakshi Sundaram ◽  
Michael J. Schneider

Abstract Objective The objective of this study was to establish the level of inter-examiner reliability for six common cervical manual and physical examination procedures used to assess the cervical spine. Materials: Reliability study that used a convenience sample of 51 patients between the ages of 16–70 years presenting with a chief complaint of neck pain. Two physical therapists independently performed the same series of cervical physical examination procedures on each of the participant. The clinicians were blinded to each other’s findings and the clinical status of the patient. Kappa coefficients (κ) were calculated for levels of agreement between the clinicians for each procedure. Results When assessing for asymmetrical motion, excellent levels of reliability (κ range: 0.88–0.96) were observed for the Bilateral Modified Lateral Shear (asymmetry criterion), Bilateral C2 Spinous Kick (asymmetry criterion) and Flexion-Rotation Tests. When pain provocation was used as the indicator of a positive test during palpation of the cervical facet joints, moderate to substantial levels of reliability (κ range: 0.53–0.76) were observed. When patients were instructed not to provide feedback to the clinicians about pain provocation during facet joint palpation and clinicians relied solely on their qualitative assessment of segmental mobility, the level of reliability was lower (κ range: 0.45–0.53). Due to 100 % prevalence of negative findings, Kappa values could not be calculated for the Sharp-Purser test or the Unilateral C2 Spinous Kick Test. Conclusions Most physical examination procedures examined in this study demonstrated moderate to excellent levels of inter-examiner reliability. Palpation for segmental mobility without pain provocation demonstrated a lower level of reliability compared to palpation for pain provocation. Correlation with clinical findings is necessary to establish validity and the applicability of these procedures in clinical practice.


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