Abstract:Objectives: A detailed description of how Directional Preference (DP) constructs are measured could accelerate research to practice translation and improve research findings for Mechanical Diagnosis and Therapy (MDT) stakeholders. A secondary analysis of a prospective, observational cohort study was conducted to understand (1) the type and prevalence of DP constructs at first examination and (2) the relationships between DP constructs and clinical outcomes at follow-up. Methods: Data were collected and analyze… Show more
“…In MDT, there are three primary subgroups for the spinal problem, and the inter-examiner reliability for the subgroups has been established among credentialed MDT therapists [ 19 ]. The most prevalent subgroup is for derangement syndrome [ 20 , 21 , 22 , 23 , 24 ]. The derangement syndrome subgroup has a specific direction of loading, resulting in functional improvement and pain, which is called a directional preference (DP).…”
Section: Introductionmentioning
confidence: 99%
“…When time and sessions until discharge from the MDT are considered, it is also important to remember that there are some patients who lose follow-ups before identifying effective management strategies. We have known that a long duration of LBP and many comorbidities [ 21 , 22 ] are contributing factors for the loss of MDT follow-up; however, no study has investigated whether the medium-high-risk group in SBST can also be included as a contributing factor. In the MDT for the spinal problem, the subgroup was identified within five sessions [ 31 ].…”
Background: Mechanical diagnosis and therapy (MDT) and the stratified approach using the Keele STarT Back Screening Tool (SBST) are examples of stratified low back pain (LBP) management. We investigated whether the medium–high risk in SBST can contribute to the time and sessions until discharge from MDT (Question 1) and to the loss of follow-up before identifying a promising management strategy (Question 2). Methods: A retrospective chart study was conducted. Multiple regression modeling was constructed using 10 independent variables, including whether the SBST was medium–high risk or not for Question 1, and the 9/10 independent variables for Question 2. Results: The data of 89 participants for Question 1 and 166 participants for Question 2 were analyzed. SBST was not a primary contributing factor for Question 1 (R2 = 0.17–0.19). The model for Question 2 included SBST as a primary contributing factor and the shortest distance from the patient address to the hospital as a secondary contributing factor (93.4% correct classification). Conclusion: SBST status was not a primary contributing factor for time and sessions until discharge from MDT, but was a critical factor for the loss of MDT follow-up before identifying a promising management strategy.
“…In MDT, there are three primary subgroups for the spinal problem, and the inter-examiner reliability for the subgroups has been established among credentialed MDT therapists [ 19 ]. The most prevalent subgroup is for derangement syndrome [ 20 , 21 , 22 , 23 , 24 ]. The derangement syndrome subgroup has a specific direction of loading, resulting in functional improvement and pain, which is called a directional preference (DP).…”
Section: Introductionmentioning
confidence: 99%
“…When time and sessions until discharge from the MDT are considered, it is also important to remember that there are some patients who lose follow-ups before identifying effective management strategies. We have known that a long duration of LBP and many comorbidities [ 21 , 22 ] are contributing factors for the loss of MDT follow-up; however, no study has investigated whether the medium-high-risk group in SBST can also be included as a contributing factor. In the MDT for the spinal problem, the subgroup was identified within five sessions [ 31 ].…”
Background: Mechanical diagnosis and therapy (MDT) and the stratified approach using the Keele STarT Back Screening Tool (SBST) are examples of stratified low back pain (LBP) management. We investigated whether the medium–high risk in SBST can contribute to the time and sessions until discharge from MDT (Question 1) and to the loss of follow-up before identifying a promising management strategy (Question 2). Methods: A retrospective chart study was conducted. Multiple regression modeling was constructed using 10 independent variables, including whether the SBST was medium–high risk or not for Question 1, and the 9/10 independent variables for Question 2. Results: The data of 89 participants for Question 1 and 166 participants for Question 2 were analyzed. SBST was not a primary contributing factor for Question 1 (R2 = 0.17–0.19). The model for Question 2 included SBST as a primary contributing factor and the shortest distance from the patient address to the hospital as a secondary contributing factor (93.4% correct classification). Conclusion: SBST status was not a primary contributing factor for time and sessions until discharge from MDT, but was a critical factor for the loss of MDT follow-up before identifying a promising management strategy.
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