OBJECTIVE: The purposes of this study were to (1) evaluate the usefulness of 2 prediction models by assessing the actual use and advantages/disadvantages of application in daily clinical practice and (2) propose recommendations to enhance their implementation. METHODS: Physical therapists working in 283 practices in the area of Breda (the Netherlands) were invited to participate in this study. Two prediction models were presented: (1) to predict persistent shoulder pain and (2) to predict the preferable treatment in nonspecific neck pain. Participants were asked to apply both models in practice. After 2 months, their opinions about the usefulness of both models were gathered during a focus group meeting or by using an online questionnaire i...
OBJECTIVES: To develop predictive models for short-term and long-term clinically important improveme...
OBJECTIVE: Guidelines recommend supervised exercise therapy and lifestyle counseling by a physical t...
This article presents a 3-part framework for developing and evaluating prediction models in rehabili...
Objective: The purposes of this study were to (1) evaluate the usefulness of 2 prediction models by ...
Objective The purposes of this study were to (1) evaluate the usefulness of 2 prediction models by a...
Contains fulltext : 134042.pdf (publisher's version ) (Closed access)OBJECTIVE: Th...
Objective: To summarize the methodological quality and developmental stage of prediction models for ...
BACKGROUND: Health care providers need prognostic factors to distinguish between patients who are li...
This thesis focuses on the development and evaluation of prediction models for knee and low back pai...
© 2017 American Physical Therapy Association. Background. Health care providers need prognostic fact...
Objective: To systematically review clinical prediction rules (CPRs) that have undergone validation ...
Background and Purpose. Clinical prediction rules (CPRs) involving physical therapy interventions ha...
Background. Clinical prediction rules (CPRs) for treatment selection in musculoskeletal conditions h...
Background. clinical prediction rules (CPRs) for treatment selection in musculoskeletal conditions h...
Background: In prognostic research, prediction rules are generally statistically derived. However th...
OBJECTIVES: To develop predictive models for short-term and long-term clinically important improveme...
OBJECTIVE: Guidelines recommend supervised exercise therapy and lifestyle counseling by a physical t...
This article presents a 3-part framework for developing and evaluating prediction models in rehabili...
Objective: The purposes of this study were to (1) evaluate the usefulness of 2 prediction models by ...
Objective The purposes of this study were to (1) evaluate the usefulness of 2 prediction models by a...
Contains fulltext : 134042.pdf (publisher's version ) (Closed access)OBJECTIVE: Th...
Objective: To summarize the methodological quality and developmental stage of prediction models for ...
BACKGROUND: Health care providers need prognostic factors to distinguish between patients who are li...
This thesis focuses on the development and evaluation of prediction models for knee and low back pai...
© 2017 American Physical Therapy Association. Background. Health care providers need prognostic fact...
Objective: To systematically review clinical prediction rules (CPRs) that have undergone validation ...
Background and Purpose. Clinical prediction rules (CPRs) involving physical therapy interventions ha...
Background. Clinical prediction rules (CPRs) for treatment selection in musculoskeletal conditions h...
Background. clinical prediction rules (CPRs) for treatment selection in musculoskeletal conditions h...
Background: In prognostic research, prediction rules are generally statistically derived. However th...
OBJECTIVES: To develop predictive models for short-term and long-term clinically important improveme...
OBJECTIVE: Guidelines recommend supervised exercise therapy and lifestyle counseling by a physical t...
This article presents a 3-part framework for developing and evaluating prediction models in rehabili...