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Chiba H, Handa Y, Kikkawa K, Takasaki H. Research Priorities in the Mechanical Diagnosis and Therapy Among Diploma Therapists: An International Delphi Study. Cureus 2024; 16:e62492. [PMID: 39015871 PMCID: PMC11251747 DOI: 10.7759/cureus.62492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2024] [Indexed: 07/18/2024] Open
Abstract
Introduction Mechanical diagnosis and therapy (MDT) is the most researched approach in musculoskeletal physical therapy and involves classifying patients into sub-groups based on their response to loading strategies. MDT diploma therapists (Dip-MDTs) fully recognize the value of MDT in musculoskeletal physical therapy. MDT is updating its system based on the latest research, but the system has not yet been fully established. Therefore, more research is required to increase the comprehensibility of the system. Thus, we aimed to identify future research priorities of MDT. Methods We conducted a modified Delphi study with three rounds. The Research Advisory Committee (RAC) members (n=7) of the McKenzie Institute International were invited to participate in the initial idea generation round. In the subsequent two consensus rounds, Dip-MDTs (n=299) were asked to indicate their level of agreement with the results of the idea generation round using a five-point Likert scale. The criteria for consensus were mean score ≥4.0, coefficient of variation ≤30%, percent agreement ≥75%, and quartile deviation ≤1. A post-hoc analysis of the consensus was conducted when the number of participants from a certain country exceeded one-third of the total number of participants. Results The participation rates for each round were 57.1%, 52.2%, and 49.8%. The USA accounted for 43.6% and 44.3% of all participants at the two consensus rounds, respectively. Finally, nine items reached consensus in the second consensus round. After the post-hoc analysis, eight items reached consensus: (1) cost-effectiveness, (2) cervical and thoracic spine, (3) extremity classifications, (4) filtered randomized controlled trials (RCTs), (5) spinal source classification, (6) centralization and directional preferences, (7) predictive factors for recurrence, and (8) patient education. Conclusion In this study, we identified the research priorities of MDT that would enhance the completion of the MDT system.
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Affiliation(s)
- Hiroki Chiba
- Health and Social Services, Saitama Prefectural University, Koshigaya, JPN
| | - Yusuke Handa
- Health and Social Services, Saitama Prefectural University, Koshigaya, JPN
| | - Kazuki Kikkawa
- Health and Social Services, Saitama Prefectural University, Koshigaya, JPN
| | - Hiroshi Takasaki
- Physical Therapy, Saitama Prefectural University, Koshigaya, JPN
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Gerard T, Naye F, Decary S, Tousignant-Laflamme Y. Letters to the editor: "Treatment based classification systems for patients with non-specific neck pain. A systematic review". Musculoskelet Sci Pract 2024; 71:102751. [PMID: 37031077 DOI: 10.1016/j.msksp.2023.102751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/18/2022] [Accepted: 03/28/2023] [Indexed: 04/10/2023]
Affiliation(s)
- Thomas Gerard
- School of Rehabilitation, Université de Sherbrooke, Sherbrooke, Quebec, Canada; Research Center of the Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, Quebec, Canada
| | - Florian Naye
- School of Rehabilitation, Université de Sherbrooke, Sherbrooke, Quebec, Canada; Research Center of the Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, Quebec, Canada
| | - Simon Decary
- School of Rehabilitation, Université de Sherbrooke, Sherbrooke, Quebec, Canada; Research Center of the Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, Quebec, Canada
| | - Yannick Tousignant-Laflamme
- School of Rehabilitation, Université de Sherbrooke, Sherbrooke, Quebec, Canada; Research Center of the Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, Quebec, Canada.
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Hartley T, Hicks Y, Davies JL, Cazzola D, Sheeran L. BACK-to-MOVE: Machine learning and computer vision model automating clinical classification of non-specific low back pain for personalised management. PLoS One 2024; 19:e0302899. [PMID: 38728282 PMCID: PMC11086851 DOI: 10.1371/journal.pone.0302899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 04/15/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Low back pain (LBP) is a major global disability contributor with profound health and socio-economic implications. The predominant form is non-specific LBP (NSLBP), lacking treatable pathology. Active physical interventions tailored to individual needs and capabilities are crucial for its management. However, the intricate nature of NSLBP and complexity of clinical classification systems necessitating extensive clinical training, hinder customised treatment access. Recent advancements in machine learning and computer vision demonstrate promise in characterising NSLBP altered movement patters through wearable sensors and optical motion capture. This study aimed to develop and evaluate a machine learning model (i.e., 'BACK-to-MOVE') for NSLBP classification trained with expert clinical classification, spinal motion data from a standard video alongside patient-reported outcome measures (PROMs). METHODS Synchronised video and three-dimensional (3D) motion data was collected during forward spinal flexion from 83 NSLBP patients. Two physiotherapists independently classified them as motor control impairment (MCI) or movement impairment (MI), with conflicts resolved by a third expert. The Convolutional Neural Networks (CNNs) architecture, HigherHRNet, was chosen for effective pose estimation from video data. The model was validated against 3D motion data (subset of 62) and trained on the freely available MS-COCO dataset for feature extraction. The Back-to-Move classifier underwent fine-tuning through feed-forward neural networks using labelled examples from the training dataset. Evaluation utilised 5-fold cross-validation to assess accuracy, specificity, sensitivity, and F1 measure. RESULTS Pose estimation's Mean Square Error of 0.35 degrees against 3D motion data demonstrated strong criterion validity. Back-to-Move proficiently differentiated MI and MCI classes, yielding 93.98% accuracy, 96.49% sensitivity (MI detection), 88.46% specificity (MCI detection), and an F1 measure of .957. Incorporating PROMs curtailed classifier performance (accuracy: 68.67%, sensitivity: 91.23%, specificity: 18.52%, F1: .800). CONCLUSION This study is the first to demonstrate automated clinical classification of NSLBP using computer vision and machine learning with standard video data, achieving accuracy comparable to expert consensus. Automated classification of NSLBP based on altered movement patters video-recorded during routine clinical examination could expedite personalised NSLBP rehabilitation management, circumventing existing healthcare constraints. This advancement holds significant promise for patients and healthcare services alike.
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Affiliation(s)
- Thomas Hartley
- School of Engineering, Cardiff University, Cardiff, United Kingdom
| | - Yulia Hicks
- School of Engineering, Cardiff University, Cardiff, United Kingdom
| | - Jennifer L. Davies
- School of Healthcare Sciences, Cardiff University, Cardiff, United Kingdom
- Biomechanics and Bioengineering Research Centre Versus Arthritis, Cardiff University, Cardiff, United Kingdom
| | - Dario Cazzola
- Department for Health, University of Bath, Bath, United Kingdom
- Centre for Health, Injury and Illness Prevention in Sport, University of Bath, Bath, United Kingdom
| | - Liba Sheeran
- School of Healthcare Sciences, Cardiff University, Cardiff, United Kingdom
- Biomechanics and Bioengineering Research Centre Versus Arthritis, Cardiff University, Cardiff, United Kingdom
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Desgagnés A, Côté-Picard C, Gaumond A, Langevin P, Piché M, Pagé G, Pinard AM, Tousignant-Laflamme Y, Massé-Alarie H. Efficacy of a Psychologically-Informed Physiotherapy Intervention in Patients with Chronic Low Back Pain at High Risk of Poor Prognosis: A Pilot and Feasibility Randomized Controlled Trial. Physiother Can 2024; 76:163-174. [PMID: 38725600 PMCID: PMC11078249 DOI: 10.3138/ptc-2023-0038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 10/30/2023] [Accepted: 11/17/2023] [Indexed: 05/12/2024]
Abstract
Purpose To determine the feasibility of a randomized controlled trial (RCT) testing the efficacy of psychologically-informed physiotherapy (PIPT), which includes usual physiotherapy (UP) interventions, compared with UP, and to explore the preliminary effectiveness of the interventions. Method People with chronic low back pain at high risk of poor prognosis (using the STarT Back screening tool) were recruited and allocated to PIPT or UP. Effectiveness of recruitment strategies, adherence to intervention, risk of contamination, and specific challenges were assessed. Functional capacity, pain, quality of life, kinesiophobia, catastrophization, central sensitization, and self-efficacy were measured at baseline, 6-, 12- and 24-week follow-ups. Results Forty participants were recruited mainly by diffusing through Laval University's email list, and 10 physiotherapists treated the participants recruited. The retention rate of participants at 24 weeks was 72.5%. Adherence to treatment by participants and physiotherapists was very good. The risk of contamination was low, and the specific challenges identified were modifiable. Significant improvement over time in all clinical variables of interest, except self-efficacy, was observed with no difference between groups. Conclusions As most success criteria were met, conducting an RCT evaluating PIPT and PU is feasible with modifications. PIPT and UP appear to be similarly effective.
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Affiliation(s)
| | | | - Alain Gaumond
- Base militaire de Valcartier, Shannon, Quebec, Canada
| | - Pierre Langevin
- From the:
Cirris, Université Laval, Quebec City, Canada
- Chaire de recherche internationale en santé neuromusculosquelettique, Université du Québec à Trois-Rivières, Trois-Rivières, Quebec, Canada
| | - Mathieu Piché
- Chaire de recherche internationale en santé neuromusculosquelettique, Université du Québec à Trois-Rivières, Trois-Rivières, Quebec, Canada
| | - Gabrielle Pagé
- Centre de recherche du Centre hospitalier de l’Université de Montréal (CRCHUM), Université de Montréal, Montréal, Quebec, Canada
| | - Anne-Marie Pinard
- From the:
Cirris, Université Laval, Quebec City, Canada
- Centre d’expertise en Gestion de la Douleur Chronique, CHU de Québec-Université Laval, Quebec City, Quebec, Canada
| | - Yannick Tousignant-Laflamme
- Centre de recherche du CHUS, Université de Sherbrooke, Sherbrooke, Quebec, Canada
- School of Rehabilitation, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Hugo Massé-Alarie
- From the:
Cirris, Université Laval, Quebec City, Canada
- School of Rehabilitation Sciences, Université Laval, Quebec City
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Sheeran L, Al-Amri M, Sparkes V, Davies JL. Assessment of Spinal and Pelvic Kinematics Using Inertial Measurement Units in Clinical Subgroups of Persistent Non-Specific Low Back Pain. SENSORS (BASEL, SWITZERLAND) 2024; 24:2127. [PMID: 38610338 PMCID: PMC11013962 DOI: 10.3390/s24072127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/14/2024] [Accepted: 03/15/2024] [Indexed: 04/14/2024]
Abstract
Inertial measurement units (IMUs) offer a portable and quantitative solution for clinical movement analysis. However, their application in non-specific low back pain (NSLBP) remains underexplored. This study compared the spine and pelvis kinematics obtained from IMUs between individuals with and without NSLBP and across clinical subgroups of NSLBP. A total of 81 participants with NSLBP with flexion (FP; n = 38) and extension (EP; n = 43) motor control impairment and 26 controls (No-NSLBP) completed 10 repetitions of spine movements (flexion, extension, lateral flexion). IMUs were placed on the sacrum, fourth and second lumbar vertebrae, and seventh cervical vertebra to measure inclination at the pelvis, lower (LLx) and upper (ULx) lumbar spine, and lower cervical spine (LCx), respectively. At each location, the range of movement (ROM) was quantified as the range of IMU orientation in the primary plane of movement. The ROM was compared between NSLBP and No-NSLBP using unpaired t-tests and across FP-NSLBP, EP-NSLBP, and No-NSLBP subgroups using one-way ANOVA. Individuals with NSLBP exhibited a smaller ROM at the ULx (p = 0.005), LLx (p = 0.003) and LCx (p = 0.01) during forward flexion, smaller ROM at the LLx during extension (p = 0.03), and a smaller ROM at the pelvis during lateral flexion (p = 0.003). Those in the EP-NSLBP group had smaller ROM than those in the No-NSLBP group at LLx during forward flexion (Bonferroni-corrected p = 0.005), extension (p = 0.013), and lateral flexion (p = 0.038), and a smaller ROM at the pelvis during lateral flexion (p = 0.005). Those in the FP-NSLBP subgroup had smaller ROM than those in the No-NSLBP group at the ULx during forward flexion (p = 0.024). IMUs detected variations in kinematics at the trunk, lumbar spine, and pelvis among individuals with and without NSLBP and across clinical NSLBP subgroups during flexion, extension, and lateral flexion. These findings consistently point to reduced ROM in NSLBP. The identified subgroup differences highlight the potential of IMU for assessing spinal and pelvic kinematics in these clinically verified subgroups of NSLBP.
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Affiliation(s)
- Liba Sheeran
- School of Healthcare Sciences, Cardiff University, Cardiff CF14 4XN, UK; (M.A.-A.); (V.S.); (J.L.D.)
- Biomechanics and Bioengineering Research Centre Versus Arthritis, Cardiff University, Cardiff CF10 3AT, UK
| | - Mohammad Al-Amri
- School of Healthcare Sciences, Cardiff University, Cardiff CF14 4XN, UK; (M.A.-A.); (V.S.); (J.L.D.)
- Biomechanics and Bioengineering Research Centre Versus Arthritis, Cardiff University, Cardiff CF10 3AT, UK
| | - Valerie Sparkes
- School of Healthcare Sciences, Cardiff University, Cardiff CF14 4XN, UK; (M.A.-A.); (V.S.); (J.L.D.)
- Biomechanics and Bioengineering Research Centre Versus Arthritis, Cardiff University, Cardiff CF10 3AT, UK
| | - Jennifer L. Davies
- School of Healthcare Sciences, Cardiff University, Cardiff CF14 4XN, UK; (M.A.-A.); (V.S.); (J.L.D.)
- Biomechanics and Bioengineering Research Centre Versus Arthritis, Cardiff University, Cardiff CF10 3AT, UK
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Dimitropoulos G, Lindenbach D, Potestio M, Mogan T, Richardson A, Anderson A, Heintz M, Moskovic K, Gondziola J, Bradley J, LaMonica HM, Iorfino F, Hickie I, Patten SB, Arnold PD. Using a Rapid Learning Health System for Stratified Care in Emerging Adult Mental Health Services: Protocol for the Implementation of Patient-Reported Outcome Measures. JMIR Res Protoc 2024; 13:e51667. [PMID: 38506921 PMCID: PMC10993112 DOI: 10.2196/51667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 01/13/2024] [Accepted: 02/09/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND Mental illness among emerging adults is often difficult to ameliorate due to fluctuating symptoms and heterogeneity. Recently, innovative approaches have been developed to improve mental health care for emerging adults, including (1) implementing patient-reported outcome measures (PROMs) to assess illness severity and inform stratified care to assign emerging adults to a treatment modality commensurate with their level of impairment and (2) implementing a rapid learning health system in which data are continuously collected and analyzed to generate new insights, which are then translated to clinical practice, including collaboration among clients, health care providers, and researchers to co-design and coevaluate assessment and treatment strategies. OBJECTIVE The aim of the study is to determine the feasibility and acceptability of implementing a rapid learning health system to enable a measurement-based, stratified care treatment strategy for emerging adults. METHODS This study takes place at a specialty clinic serving emerging adults (age 16-24 years) in Calgary, Canada, and involves extensive collaboration among researchers, providers, and youth. The study design includes six phases: (1) developing a transdiagnostic platform for PROMs, (2) designing an initial stratified care model, (3) combining the implementation of PROMs with stratified care, (4) evaluating outcomes and disseminating results, (5) modification of stratified care based on data derived from PROMs, and (6) spread and scale to new sites. Qualitative and quantitative feedback will be collected from health care providers and youth throughout the implementation process. These data will be analyzed at regular intervals and used to modify the way future services are delivered. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework is used to organize and evaluate implementation according to 3 key objectives: improving treatment selection, reducing average wait time and treatment duration, and increasing the value of services. RESULTS This project was funded through a program grant running from 2021 to 2026. Ethics approval for this study was received in February 2023. Presently, we have developed a system of PROMs and organized clinical services into strata of care. We will soon begin using PROMs to assign clients to a stratum of care and using feedback from youth and clinicians to understand how to improve experiences and outcomes. CONCLUSIONS This study has key implications for researchers and clinicians looking to understand how to customize emerging adult mental health services to improve the quality of care and satisfaction with care. This study has significant implications for mental health care systems as part of a movement toward value-based health care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/51667.
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Affiliation(s)
- Gina Dimitropoulos
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
- Faculty of Social Work, University of Calgary, Calgary, AB, Canada
| | - David Lindenbach
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
| | | | - Tom Mogan
- Alberta Health Services, Edmonton, AB, Canada
| | | | - Alida Anderson
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
| | - Madison Heintz
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
| | | | | | | | - Haley M LaMonica
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Ian Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Scott B Patten
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Paul D Arnold
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
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Wang XZ, Liu CZ, Wang LQ, Qu ZC, Cao Y, Yan SY, Yang JW, Tu JF. Acupuncture for response and complete pain relief time of acute renal colic: Secondary analysis of a randomized controlled trial. Integr Med Res 2024; 13:101021. [PMID: 38379605 PMCID: PMC10876610 DOI: 10.1016/j.imr.2024.101021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 02/22/2024] Open
Abstract
Background The integration of acupuncture with intramuscular injection of diclofenac sodium can expedite the onset of analgesia in treating acute renal colic caused by urolithiasis. However, it remains unclear whether acupuncture can accelerate pain relief constantly until complete remission. This study aimed to explore the extent to which acupuncture can expedite the onset time of response or complete pain relief in treating acute renal colic, and the predictive value of patient characteristics for treatment efficacy. Methods This secondary analysis utilized data from a prior randomized controlled trial. Eighty patients with acute renal colic were randomly assigned 1:1 to the acupuncture group or the sham acupuncture group. After intramuscular injection of diclofenac sodium, acupuncture or sham acupuncture was delivered to patients. The outcomes included time to response (at least a 50 % reduction in pain) and complete pain relief. Between-group comparison under the 2 events was estimated by Kaplan-Meier methodology. Subgroup analysis was performed utilizing the Cox proportional hazards model. Results The median response time and complete pain relief time in the acupuncture group were lower than those in the sham acupuncture group (5 vs 30 min, Log Rank P < 0.001; 20 min vs not observed, Log Rank P < 0.001, respectively). Hazard Ratios (HRs) for response across all subgroups favored the acupuncture group. All HRs for complete pain relief favored acupuncture, expect large stone and moderate pain at baseline. No interaction was found in either event. Conclusion Acupuncture can accelerate the response time and complete pain relief time for patients with acute renal colic, with the efficacy universally. Trial registration This study has been registered at Chinese Clinical Trial Registry: ChiCTR1900025202.
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Affiliation(s)
- Xue-Zhou Wang
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Cun-Zhi Liu
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Li-Qiong Wang
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Zhi-Cheng Qu
- Emergency Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Ying Cao
- Emergency Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Shi-Yan Yan
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Jing-Wen Yang
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Jian-Feng Tu
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
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Rodgers LJ, Bialosky JE, Minick SA, Coronado RA. An overview of systematic reviews examining the quantitative sensory testing-derived hypoalgesic effects of manual therapy for musculoskeletal pain. J Man Manip Ther 2024; 32:67-84. [PMID: 37908101 PMCID: PMC10795637 DOI: 10.1080/10669817.2023.2267954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 10/03/2023] [Indexed: 11/02/2023] Open
Abstract
BACKGROUND Changes in quantitative sensory testing (QST) after manual therapy can provide insight into pain relief mechanisms. Prior systematic reviews have evaluated manual-therapy-induced QST change. This overview of systematic reviews aims to consolidate this body of literature and critically review evidence on the hypoalgesic effects of manual therapy in clinical populations. METHODS A comprehensive search was conducted on PubMed, CINAHL, PsycInfo, and Embase. Peer-reviewed systematic reviews with or without meta-analysis were eligible if the reviews examined the effect of manual therapy compared to non-manual therapy interventions on QST outcomes in clinical populations. Methodological quality was assessed with the AMSTAR 2 tool. Meta-analysis results and qualitative (non-meta-analysis) interpretations were summarized by type of manual therapy. Overlap of studies was examined with the corrected covered area (CCA) index. RESULTS Thirty systematic reviews, including 11 meta-analyses, met inclusion. There was a slight overlap in studies (CCA of 1.72% for all reviews and 1.69% for meta-analyses). Methodological quality was predominantly low to critically low. Eight (27%) reviews examined studies with a range of manual therapy types, 13 (43%) reviews focused on joint-biased manual therapy, 7 (23%) reviews focused on muscle-biased manual therapy, and 2 (7%) reviews focused on nerve-biased manual therapy. Twenty-nine (97%) reviews reported on pressure pain threshold (PPT). Meta-analytic results demonstrated conflicting evidence that manual therapy results in greater hypoalgesic effects compared to other interventions or controls. CONCLUSION Our overview of QST effects, which has relevance to mechanisms underlying hypoalgesia, shows conflicting evidence from mostly low to critically low systematic reviews.
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Affiliation(s)
- Logan J. Rodgers
- Department of Physical Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Joel E. Bialosky
- Department of Physical Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
- Brooks-UF-PHHP Research Collaboration, Gainesville, FL, USA
| | - Sophie A. Minick
- Department of Orthopaedic Surgery, Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rogelio A. Coronado
- Department of Orthopaedic Surgery, Center for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Physical Medicine and Rehabilitation, Osher Center for Integrative Health, Vanderbilt University Medical Center, Nashville, TN, USA
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Gomes LA, Rodrigues AM, van der Windt D, Pires D, Afreixo V, Canhão H, Cruz EB. Minimal Intervention of Patient Education for Low Back Pain: A Systematic Review With Meta-analysis. J Orthop Sports Phys Ther 2024; 54:107-119. [PMID: 37970797 DOI: 10.2519/jospt.2023.11865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
OBJECTIVE: To explore the effects of minimal intervention of patient education (MIPE) for reducing disability and pain intensity in patients with low back pain (LBP). DESIGN: Intervention systematic review with meta-analysis of randomized controlled trials. LITERATURE SEARCH: We searched the MEDLINE, Embase, CENTRAL, CINAHL, and PsycINFO databases from inception to May 2023. STUDY SELECTION CRITERIA: Trials comparing MIPE, consisting of a single session of patient education, to no or other interventions in patients with LBP. DATA SYNTHESIS: Random effects meta-analysis was conducted where possible. A noninferiority margin of 5 points (0-100 scale) was considered for noninferiority hypotheses. We assessed risk of bias using the revised Cochrane risk-of-bias tool (RoB 2), and certainty of evidence using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) framework. RESULTS: A total of 21 trials were included. There were no differences between MIPE and no intervention for effects on disability and pain intensity. There was low-certainty evidence that MIPE had inferior effects on short-term disability (mean difference = 3.62; 95% CI: 0.85, 6.38; 15 trials; n = 3066; I2 = 75%) and pain intensity (mean difference = 9.43; 95% CI: 1.31, 17.56; 10 trials; n = 1394; I2 = 90%) than other interventions. No differences were found for subsequent time points. CONCLUSION: As an intervention delivered in isolation, and without tailoring (ie, one-size-fits-all intervention), MIPE on average did not provide benefits for reducing disability and pain intensity over no or other interventions. We encourage clinicians to consider using additional/other or more tailored treatments when helping people manage LBP. J Orthop Sports Phys Ther 2024;54(2):1-13. Epub 16 November 2023. doi:10.2519/jospt.2023.11865.
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10
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Vervullens S, Breugelmans L, Beckers L, VAN Kuijk SM, VAN Hooff M, Winkens B, Smeets RJ. Clinical prediction model for interdisciplinary biopsychosocial rehabilitation in osteoarthritis patients. Eur J Phys Rehabil Med 2024; 60:84-94. [PMID: 38059576 PMCID: PMC10938038 DOI: 10.23736/s1973-9087.23.08071-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/18/2023] [Accepted: 11/21/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Osteoarthritis (OA) is a heterogenous condition, in which different subgroups are present. Individualized interdisciplinary multimodal pain treatments (IMPT) based on the biopsychosocial model have resulted in positive improvement of pain, health and disability in OA patients. Moreover, predictive factors for treatment success of IMPT in different musculoskeletal pain populations have been examined, but a clinical prediction model which informs whether an OA patient is expected to benefit or not from IMPT is currently lacking. AIM The aim was to develop and internally validate a clinical prediction model to inform patient-tailored care based on identified predictors for positive or negative outcomes of IMPT in patients with OA. DESIGN Longitudinal prospective cohort study. SETTING Center for Integral Rehabilitation at six locations in the Netherlands. POPULATION Chronic OA patients. METHODS Data in this study were collected during January 2019 until January 2022. Participants underwent a 10-week IMPT program based on the biopsychosocial model. Treatment success was defined by a minimal decrease from baseline of 9 points on the Pain Disability Index (PDI). Candidate predictors were selected by experts in IMPT and literature review. Backward logistic regression analysis was performed to develop the clinical predication model and bootstrap validation was performed for internal validation. RESULTS Overall, 599 OA patients were included, of which 324 experienced treatment success. Thirty-four variables were identified as possible predictors for good IMPT outcome. Age, gender, number of pain locations, PDI baseline score, maximal pain severity, use of pain medication and alcohol, work ability, brief illness perceptions questionnaire subscales timeline, consequences, identity and treatment control, pain catastrophizing scale and self-efficacy questionnaire score were found as predictors for treatment success. The internally validated model has an acceptable discriminative power of 0.71. CONCLUSIONS This study reports a specific clinical prediction model for good outcome of IMPT in patients with OA. The internally validated model has an acceptable discriminative power of 0.71. CLINICAL REHABILITATION IMPACT After external validation, this model could be used to develop a clinically useful decision tool.
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Affiliation(s)
- Sophie Vervullens
- MOVANT Research Group, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Wilrijk, Belgium
- Care and Public Health Research Institute (CAPHRI), Department of Rehabilitation Medicine, Maastricht University, Maastricht, the Netherlands
- Pain in Motion International Research Group (PiM), Antwerp, Belgium
| | - Lissa Breugelmans
- Care and Public Health Research Institute (CAPHRI), Department of Rehabilitation Medicine, Maastricht University, Maastricht, the Netherlands
- Division of Biodiversity Informatics, Department Collections and Library, Meise Botanical Garden, Meise, Belgium
| | - Laura Beckers
- Care and Public Health Research Institute (CAPHRI), Department of Rehabilitation Medicine, Maastricht University, Maastricht, the Netherlands
| | - Sander M VAN Kuijk
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Miranda VAN Hooff
- Department of Research, Sint Maartenskliniek, Nijmegen, the Netherlands
- Department of Orthopedic Surgery, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Bjorn Winkens
- Care and Public Health Research Institute (CAPHRI), Department of Methodology and Statistics, Maastricht University, Maastricht, the Netherlands
| | - Rob J Smeets
- Care and Public Health Research Institute (CAPHRI), Department of Rehabilitation Medicine, Maastricht University, Maastricht, the Netherlands -
- Pain in Motion International Research Group (PiM), Antwerp, Belgium
- CIR Clinics in Revalidatie, Eindhoven, the Netherlands
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11
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Fudickar S, Bantel C, Spieker J, Töpfer H, Stegeman P, Schiphorst Preuper HR, Reneman MF, Wolff AP, Soer R. Natural Language Processing of Referral Letters for Machine Learning-Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study. J Med Internet Res 2024; 26:e46857. [PMID: 38289669 PMCID: PMC10865208 DOI: 10.2196/46857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 07/12/2023] [Accepted: 10/11/2023] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Decision support systems (DSSs) for suggesting optimal treatments for individual patients with low back pain (LBP) are currently insufficiently accurate for clinical application. Most of the input provided to train these systems is based on patient-reported outcome measures. However, with the appearance of electronic health records (EHRs), additional qualitative data on reasons for referrals and patients' goals become available for DSSs. Currently, no decision support tools cover a wide range of biopsychosocial factors, including referral letter information to help clinicians triage patients to the optimal LBP treatment. OBJECTIVE The objective of this study was to investigate the added value of including qualitative data from EHRs and referral letters to the accuracy of a quantitative DSS for patients with LBP. METHODS A retrospective study was conducted in a clinical cohort of Dutch patients with LBP. Patients filled out a baseline questionnaire about demographics, pain, disability, work status, quality of life, medication, psychosocial functioning, comorbidity, history, and duration of pain. Referral reasons and patient requests for help (patient goals) were extracted via natural language processing (NLP) and enriched in the data set. For decision support, these data were considered independent factors for triage to neurosurgery, anesthesiology, rehabilitation, or minimal intervention. Support vector machine, k-nearest neighbor, and multilayer perceptron models were trained for 2 conditions: with and without consideration of the referral letter content. The models' accuracies were evaluated via F1-scores, and confusion matrices were used to predict the treatment path (out of 4 paths) with and without additional referral parameters. RESULTS Data from 1608 patients were evaluated. The evaluation indicated that 2 referral reasons from the referral letters (for anesthesiology and rehabilitation intervention) increased the F1-score accuracy by up to 19.5% for triaging. The confusion matrices confirmed the results. CONCLUSIONS This study indicates that data enriching by adding NLP-based extraction of the content of referral letters increases the model accuracy of DSSs in suggesting optimal treatments for individual patients with LBP. Overall model accuracies were considered low and insufficient for clinical application.
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Affiliation(s)
- Sebastian Fudickar
- Institute of Medical Informatics, University of Lübeck, Lübeck, Germany
- Department of Medicine and Public Health, University of Oldenburg, Oldenburg, Germany
| | - Carsten Bantel
- University Clinic for Anesthesiology, Intensive Care Medicine, Emergency Medicine and Pain Therapy, University of Oldenburg, Oldenburg, Germany
- University Oldenburg, Oldenburg, Germany
| | - Jannik Spieker
- Department of Medicine and Public Health, University of Oldenburg, Oldenburg, Germany
| | - Heinrich Töpfer
- Department of Medicine and Public Health, University of Oldenburg, Oldenburg, Germany
| | - Patrick Stegeman
- Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Henrica R Schiphorst Preuper
- Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Michiel F Reneman
- Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - André P Wolff
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Remko Soer
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Research Group Smart Health, Saxion University of Applied Sciences, Enschede, Netherlands
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12
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Bemani S, Sarrafzadeh J, Dehkordi SN, Talebian S, Salehi R, Zarei J. Effect of multidimensional physiotherapy on non-specific chronic low back pain: a randomized controlled trial. Adv Rheumatol 2023; 63:57. [PMID: 38049905 DOI: 10.1186/s42358-023-00329-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 09/27/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Many people with non-specific chronic low back pain (NSCLBP) do not recover with current conventional management. Systematic reviews show multidimensional treatment improves pain better than usual active interventions. It is unclear whether multidimensional physiotherapy improves pain better than usual physiotherapy. This study determines the effectiveness of this treatment to reduce pain and disability and improve quality of life, pain cognitions, and electroencephalographic pattern in individuals with NSCLBP. METHODS 70 eligible participants aged 18 to 50 years with NSCLBP were randomized into either the experimental group (multidimensional physiotherapy) or the active control group (usual physiotherapy). Pain intensity was measured as the primary outcome. Disability, quality of life, pain Catastrophizing, kinesiophobia, fear Avoidance Beliefs, active lumbar range of motion, and brain function were measured as secondary outcomes. The outcomes were measured at pre-treatment, post-treatment, 10, and 22 weeks. Data were analyzed using intention-to-treat approaches. RESULTS There were 17 men and 18 women in the experimental group (mean [SD] age, 34.57 [6.98] years) and 18 men and 17 women in the active control group (mean [SD] age, 35.94 [7.51] years). Multidimensional physiotherapy was not more effective than usual physiotherapy at reducing pain intensity at the end of treatment. At the 10 weeks and 22 weeks follow-up, there were statistically significant differences between multidimensional physiotherapy and usual physiotherapy (mean difference at 10 weeks, -1.54; 95% CI, -2.59 to -0.49 and mean difference at 22 weeks, -2.20; 95% CI, - 3.25 to - 1.15). The standardized mean difference and their 95% confidence intervals (Cohen's d) revealed a large effect of pain at 22 weeks: (Cohen's d, -0.89; 95% CI (-1.38 to-0.39)). There were no statistically significant differences in secondary outcomes. CONCLUSIONS In this randomized controlled trial, multidimensional physiotherapy resulted in statistically and clinically significant improvements in pain compared to usual physiotherapy in individuals with NSCLBP at 10 and 22 weeks. TRIAL REGISTRATION ClinicalTrials.gov NCT04270422; IRCT IRCT20140810018754N11.
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Affiliation(s)
- Sanaz Bemani
- Department of Physiotherapy, Iranian Center of Excellence in Physiotherapy, Rehabilitation Research Center, School of Rehabilitation Sciences, Iran University of Medical Sciences, Madadkaran St, Shahnazari St, Madar Sq. Mirdamad Blvd., Tehran, Iran
| | - Javad Sarrafzadeh
- Department of Physiotherapy, Iranian Center of Excellence in Physiotherapy, Rehabilitation Research Center, School of Rehabilitation Sciences, Iran University of Medical Sciences, Madadkaran St, Shahnazari St, Madar Sq. Mirdamad Blvd., Tehran, Iran.
| | - Shohreh Noorizadeh Dehkordi
- Department of Physiotherapy, Iranian Center of Excellence in Physiotherapy, Rehabilitation Research Center, School of Rehabilitation Sciences, Iran University of Medical Sciences, Madadkaran St, Shahnazari St, Madar Sq. Mirdamad Blvd., Tehran, Iran
| | - Saeed Talebian
- Department of Physiotherapy, School of Rehabilitation Sciences, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Salehi
- Department of Physiotherapy, Iranian Center of Excellence in Physiotherapy, Rehabilitation Research Center, School of Rehabilitation Sciences, Iran University of Medical Sciences, Madadkaran St, Shahnazari St, Madar Sq. Mirdamad Blvd., Tehran, Iran
- Department of Rehabilitation Management, Rehabilitation Research Center, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran
- Geriatric Mental Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Jamileh Zarei
- Department of Health Psychology, School of Behavioral Sciences and Mental Health, Iran University of Medical Sciences, Tehran, Iran
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Wu H, Zuo Z, Li Y, Song H, Hu W, Chen J, Xie C, Lin L. Anatomic characteristics of shoulder based on MRI accurately predict incomplete rotator cuff injuries in patients: relevance for predictive, preventive, and personalized healthcare strategies. EPMA J 2023; 14:553-570. [PMID: 37605646 PMCID: PMC10439871 DOI: 10.1007/s13167-023-00333-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 07/03/2023] [Indexed: 08/23/2023]
Abstract
Background and PPPM-related working hypothesis In the diagnosis of incomplete rotator cuff injuries (IRCI), magnetic resonance imaging (MRI) and ultrasound examination often have false-positive and false-negative results, while arthroscopy is expensive, invasive, and complex. From the strategy of predictive, preventive, and personalized medicine (PPPM), shoulder anatomical characteristics based on MRI have been demonstrated to accurately predict IRCI and their clinical applicability for personalized prediction of IRCI. Aims This study aimed to develop and validate a nomogram based on anatomical features of the shoulder on MRI to identify IRCI for PPPM healthcare strategies. Methods The medical information of 257 patients undergoing preoperative MRI examination was retrospectively reviewed and served as the primary cohort. Partial-thickness rotator cuff tears (RCTs) and tendinopathy observed under arthroscopy were considered IRCI. Using logistic regression analyses and least absolute shrinkage and selection operator (LASSO), IRCI was identified among various preoperative factors containing shoulder MRI and clinical features. A nomogram was constructed and subjected to internal and external validations (80 patients). Results The following eight independent risk factors for IRCI were identified:AgeThe left injured sidesThe Goutallier classification of supraspinatus in oblique coronal positionThe Goutallier classification of supraspinatus in the axial positionAcromial thicknessAcromiohumeral distanceCoracohumeral distanceAbnormal acromioclavicular joint signalsThe nomogram accurately predicted IRCI in the development (C-index, 0.932 (95% CI, 0.891, 0.973)) and validation (C-index, 0.955 (95% CI, 0.918, 0.992)) cohorts. The calibration curve was consistent between the predicted IRCI probability and the actual IRCI ratio of the nomogram. The decision curve analysis and clinical impact curves demonstrated that the model had high clinical applicability. Conclusions Eight independent factors that accurately predicted IRCI were determined using MRI anatomical findings. These personalized factors can prevent unnecessary diagnostic interventions (e.g., arthroscopy) and can assist surgeons in implementing individualized clinical decisions in medical practice, thus addressing the goals of PPPM. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-023-00333-5.
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Affiliation(s)
- Hangxing Wu
- Department of Joint and Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong People’s Republic of China
| | - Zhijie Zuo
- Department of Joint and Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong People’s Republic of China
| | - Yucong Li
- Department of Joint and Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong People’s Republic of China
| | - Haoqiang Song
- Department of Joint and Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong People’s Republic of China
| | - Wanyan Hu
- Department of Joint and Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong People’s Republic of China
| | - Jingle Chen
- Department of Joint and Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong People’s Republic of China
| | - Chao Xie
- Department of Joint and Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong People’s Republic of China
| | - Lijun Lin
- Department of Joint and Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong People’s Republic of China
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Rasmussen-Barr E, Sövelid M, Krantz R, Hill JC. The Swedish version of the STarT MSK Tool: cross-cultural adaption, test-retest reliability, and aspects of validity. BMC Musculoskelet Disord 2023; 24:644. [PMID: 37563613 PMCID: PMC10413630 DOI: 10.1186/s12891-023-06771-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 08/01/2023] [Indexed: 08/12/2023] Open
Abstract
BACKGROUND Musculoskeletal disorders (MSDs) are a common reason for seeking primary health care. The STarT Musculoskeletal (MSK) tool is designed to stratify patients suffering from MSDs to risk groups, based on prognostic factors. AIM The aim was to translate and cross-culturally adapt the STarT MSK tool in a Swedish primary health care context through testing of reliability and construct validity. METHODS We included consecutive patients with MSDs seeking primary care (n = 99). The STarT MSK was translated using international recommendations. Construct validity was investigated by correlation analysis (Spearmans Rho) with the following reference instruments: the Örebro Musculoskeletal Pain Questionnaire (ÖMPQ), the EuroQol 5-dimension (EQ-5D) and the Musculoskeletal Health Questionnaire (MSKHQ). Reliability was tested using test-retest (Intra Class Correlation, ICC2.1) (n = 31). Known-groups validity was calculated with a difference of 10% between risk groups based on how the participants had answered. RESULTS The STarT MSK was successfully translated into Swedish. The participants were grouped into low risk (n = 28), medium risk (n = 60) and high risk (n = 11). The construct validity showed a moderate to high correlation with the ÖMPQ (r = .61), EQ-5D (r = .59) and MSK-HQ (r = .56). All separate items except item 2 and 9 correlated according to predefined hypotheses. Test-retest demonstrated an excellent reliability for the total score (ICC2.1 0.85) (n = 31). The STarT MSK tool was able to differentiate by 10% between the risk groups, based on how the participants had answered. CONCLUSION The STarT MSK has been successfully translated and adapted into Swedish and shows acceptable measurement properties regarding test-retest reliability and aspects of validity and seems to be able to discriminate between the proposed risk groups. The tool can therefore be useful in a Swedish primary health care context. A future study needs to determine the tools predictive validity and to investigate if stratification to risk groups leads to a faster recovery and to lower health care costs.
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Affiliation(s)
- Eva Rasmussen-Barr
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 83, Huddinge, Sweden.
| | - Maria Sövelid
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 83, Huddinge, Sweden
| | - Rasmus Krantz
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 83, Huddinge, Sweden
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Adje M, Steinhäuser J, Laekeman M, Rogan S, Karstens S. Evaluation of a blended learning approach on stratified care for physiotherapy bachelor students. BMC MEDICAL EDUCATION 2023; 23:545. [PMID: 37525131 PMCID: PMC10391990 DOI: 10.1186/s12909-023-04517-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 07/18/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND Stratified models of care are valuable for addressing psychosocial factors which influence the outcome of patients with musculoskeletal disorders. Introducing such models in undergraduate training has the potential to propagate this knowledge with evidence and foster its implementation. The objective of this paper is to explore the perception and changes in the fear-avoidance beliefs of physiotherapy students participating in a developed blended learning course on stratified care. METHODOLOGY A mixed-methods with a convenient sample of two consecutive cohorts were given a blended learning course on stratified care for patients with low back pain. The blended learning course comprised scientific rudiments and application of stratified care in clinical practice conceptualised using the KERN' 6-step approach. The exam scores, perceptions, performance on self-reflection-tests and pre- and post-scores on The Tampa Scale for Kinesiophobia for Physiotherapists' (TSK-PT) were obtained. After gaining clinical experience, participants were invited to discuss their clinical experiences and perceptions in workshops. The quantitative data was analysed explorative-descriptively. The qualitative data was analysed following an inductive coding system with constant comparisons. RESULTS Ninety-one participants consented to the evaluation (mean age = 22.9 ± 1.6 years), 66% were female. Exam scores correlated with time spent in training (r = 0.30) and scores on self-reflection-tests 1 and 2 (r = 0.40 and r = 0.41). Participants in both cohorts described the learning resources as promoting their interest in the subject (72% and 94%), up-to-date (91% and 93%) and helpful (91% and 97%). The fear-avoidance scores for participants decreased from 53.5 (± 9.96) to 40.1 (± 12.4) with a large effect size (d = 1.18). The regression model [F (2, 49) = 1151.2, p < 0.001] suggests that pre-TSK-PT and the interest of participants in the training predicted post-TSK-PT. The workshop participants (n = 62) all worked in clinical practice. Emerging from the analysis were 4 categories (evolving to maturity in practice, perceiving determinants of stratified care, strategising for implementation and adopting an outlook for future practice). CONCLUSION The quality of engagement in learning, training strategy and interest in the subject contributes immensely to learning outcomes. This blended learning course was successful in reducing kinesiophobia and influencing the participants' attitude towards care with the potential of being translated into long-term practice.
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Affiliation(s)
- Mishael Adje
- Therapeutic Sciences, Department of Computer Science, Trier University of Applied Sciences, Trier, Germany.
- Institute of Family Medicine, University of Luebeck, Luebeck, Germany.
| | - Jost Steinhäuser
- Institute of Family Medicine, University of Luebeck, Luebeck, Germany
| | - Marjan Laekeman
- Department of Physiological Psychology, University of Bamberg, Bochum, Germany
| | - Slavko Rogan
- Division of Physiotherapy, School of Health Professions, Bern University of Applied Sciences, Bern, Switzerland
| | - Sven Karstens
- Therapeutic Sciences, Department of Computer Science, Trier University of Applied Sciences, Trier, Germany
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Lervik LCN, Vasseljen O, Austad B, Bach K, Bones AF, Granviken F, Hill JC, Jørgensen P, Øien T, Veites PM, Van der Windt DA, Meisingset I. SupportPrim-a computerized clinical decision support system for stratified care for patients with musculoskeletal pain complaints in general practice: study protocol for a randomized controlled trial. Trials 2023; 24:267. [PMID: 37041631 PMCID: PMC10088189 DOI: 10.1186/s13063-023-07272-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 03/23/2023] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND Musculoskeletal disorders represented 149 million years lived with disability world-wide in 2019 and are the main cause of years lived with disability worldwide. Current treatment recommendations are based on "one-size fits all" principle, which does not take into account the large degree of biopsychosocial heterogeneity in this group of patients. To compensate for this, we developed a stratified care computerized clinical decision support system for general practice based on patient biopsychosocial phenotypes; furthermore, we added personalized treatment recommendations based on specific patient factors to the system. In this study protocol, we describe the randomized controlled trial for evaluating the effectiveness of computerized clinical decision support system for stratified care for patients with common musculoskeletal pain complaints in general practice. The aim of this study is to test the effect of a computerized clinical decision support system for stratified care in general practice on subjective patient outcome variables compared to current care. METHODS We will perform a cluster-randomized controlled trial with 44 general practitioners including 748 patients seeking their general practitioner due to pain in the neck, back, shoulder, hip, knee, or multisite. The intervention group will use the computerized clinical decision support system, while the control group will provide current care for their patients. The primary outcomes assessed at 3 months are global perceived effect and clinically important improvement in function measured by the Patient-Specific Function Scale (PSFS), while secondary outcomes include change in pain intensity measured by the Numeric Rating Scale (0-10), health-related quality of life (EQ-5D), general musculoskeletal health (MSK-HQ), number of treatments, use of painkillers, sick-leave grading and duration, referral to secondary care, and use of imaging. DISCUSSION The use of biopsychosocial profile to stratify patients and implement it in a computerized clinical decision support system for general practitioners is a novel method of providing decision support for this patient group. The study aim to recruit patients from May 2022 to March 2023, and the first results from the study will be available late 2023. TRIAL REGISTRATION The trial is registered in ISRCTN 11th of May 2022: 14,067,965.
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Affiliation(s)
- Lars Christian Naterstad Lervik
- General Practice Research Unit, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
- Hallset Legesenter AS, Trondheim, Norway.
| | - Ottar Vasseljen
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Bjarne Austad
- General Practice Research Unit, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kerstin Bach
- Department of Computer Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Anita Formo Bones
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Fredrik Granviken
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Jonathan C Hill
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Newcastle-under-Lyme, UK
| | - Pål Jørgensen
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Torbjørn Øien
- General Practice Research Unit, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Hallset Legesenter AS, Trondheim, Norway
| | - Paola Marin Veites
- Department of Computer Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Danielle A Van der Windt
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Newcastle-under-Lyme, UK
| | - Ingebrigt Meisingset
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Unit for Physiotherapy Services, Trondheim Municipality, Trondheim, Norway
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Foster NE, L E, L D, M H. Osteoarthritis year in review 2022: epidemiology & therapy. Osteoarthritis Cartilage 2023:S1063-4584(23)00730-6. [PMID: 36963607 DOI: 10.1016/j.joca.2023.03.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/09/2023] [Accepted: 03/15/2023] [Indexed: 03/26/2023]
Abstract
This 'Year in Review' provides a synopsis of key research themes and individual studies from the clinical osteoarthritis (OA) field, focused on epidemiology and therapy. The electronic database search for the review was adapted from the 2021 year in review search, to increase search specificity for relevant study designs, and was conducted in Medline, Embase and medRxiv (31st March 2021 to 4th March 2022). Following screening for eligibility, studies were grouped according to their key research design, including reviews, cohorts and randomised trials. 11 key themes emerged, including the importance of several comorbidities in predicting OA incidence and prevalence, surgical approaches that can reduce the risk of post-traumatic OA, the heterogenous but nevertheless relatively stable nature of OA subgroup trajectories, the paucity of robust studies particularly of surgery for OA and the very modest benefit of many therapies under evaluation in trials. A particular interest of the authors was to consider whether new studies are helping determine how to better ensure the right patient with OA is matched to the right treatment at the right time. There are several new studies developing improved predictive models through big data analytics and machine learning which show promise, need validation, and may support new approaches to stratified care.
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Affiliation(s)
- Nadine E Foster
- STARS Education and Research Alliance, Surgical Treatment and Rehabilitation Service (STARS), The University of Queensland and Metro North Health, Queensland, Australia.
| | - Eriksson L
- Lars Eriksson, The University of Queensland, UQ Library, Herston Qld 4006, Queensland, Australia.
| | - Deveza L
- Institute of Bone and Joint Research, Kolling Institute of Medical Research, The University of Sydney, Sydney, New South Wales, Australia; Department of Rheumatology, Northern Clinical School, Royal North Shore Hospital, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
| | - Hall M
- Centre for Health, Exercise and Sports Medicine, University of Melbourne, Victoria, Australia.
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Are we giving stratified care a fair trial? J Physiother 2023; 69:65-67. [PMID: 36914522 DOI: 10.1016/j.jphys.2023.02.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/13/2023] [Accepted: 02/24/2023] [Indexed: 03/16/2023] Open
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Gual-Montolio P, Suso-Ribera C, García-Palacios A, Castilla D, Zaragoza I, Bretón-López J. Enhancing Internet-based psychotherapy for adults with emotional disorders using ecological momentary assessments and interventions: Study protocol of a feasibility trial with "My EMI, Emotional Well-being" app. Internet Interv 2023; 31:100601. [PMID: 36686334 PMCID: PMC9852876 DOI: 10.1016/j.invent.2023.100601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 12/20/2022] [Accepted: 01/04/2023] [Indexed: 01/07/2023] Open
Abstract
Introduction Emotional disorders are the most frequent mental health problems globally. To ensure the dissemination of psychological treatments for these conditions, novel forms of delivery (e.g., Internet or mobile apps) and more scalable forms of psychotherapy (e.g., transdiagnostic interventions) have become increasingly popular. Research, however, shows that a significant number of patients, around 40 % according to some studies, do not respond to the interventions as expected (i.e., not-on-track patients). Ecological momentary assessments (EMAs) and ecological momentary interventions (EMIs) could simplify tailoring treatments to the patients' progress and rapidly respond to undesired outcomes during psychotherapy. Therefore, these would facilitate measurement-based care with little therapist involvement. This study aims to explore the feasibility of an app-based system called My EMI, Emotional Well-being for people with emotional disorders. According to daily EMAs, the app will provide personalized EMIs while participants receive a self-applied online transdiagnostic treatment. The app will be used as an add-tool to the online intervention to address emotion dysregulation, foster adherence, and reinforce contents. The current study describes the study protocol for this trial. Method and analysis A single-group, open trial design will be used. Participants will be 30 adults suffering from emotional disorders. Primary outcomes will be app usability, acceptability, and response rates. Secondary outcomes will be either evaluated in Qualtrics at pre-treatment, post-treatment, and 3-month follow-up (depression and anxiety severity, and transdiagnostic dimensions of emotional disorders) or daily throughout the study with the app (EMAs of mood and five transdiagnostic mechanisms of therapeutic change). EMIs will consist of brief, evidence-based transdiagnostic CBT digital content (images, infographics, or videos) delivered just-in-time. Only if problems persist, short phone calls or episodic videocalls will be conducted. The Ethics Committee of the Jaume I University approved the study and all its procedures (CD/111/2021) in December 2021. Discussion Identifying personalized and scalable interventions is paramount to improve mental health care, especially its accessibility, and to reduce the psychological distress of people with mental health problems. Feasibility data of the app (EMA and EMI system) supported by a self-applied online transdiagnostic intervention will be important to explore whether this modern approach is a real option to move forward personalized psychological interventions for persons with emotional disorders. Trial registration ClinicalTrials.gov Identifier: NCT05109780. Registered 05 November 2021, https://clinicaltrials.gov/ct2/show/NCT05109780.
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Affiliation(s)
- Patricia Gual-Montolio
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda. Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain
| | - Carlos Suso-Ribera
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda. Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
| | - Azucena García-Palacios
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda. Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
| | - Diana Castilla
- Department of Personality, Assessment, and Psychological Treatments, Universidad de Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
| | - Irene Zaragoza
- Department of Personality, Assessment, and Psychological Treatments, Universidad de Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
| | - Juana Bretón-López
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda. Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
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20
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Adje M, Steinhäuser J, Stevenson K, Mbada C, Alonge V, Karstens S. Developing tailored intervention strategies for implementation of stratified care to low back pain with physiotherapists in Nigeria: a Delphi study. BMC Health Serv Res 2023; 23:134. [PMID: 36759830 PMCID: PMC9909884 DOI: 10.1186/s12913-023-09123-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/30/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Stratified care approach involving use of the STarT-Back tool to optimise care for patients with low back pain is gaining widespread attention in western countries. However, adoption and implementation of this approach in low-and-middle-income countries will be restricted by context-specific factors that need to be addressed. This study aimed to develop with physiotherapists, tailored intervention strategies for the implementation of stratified care for patients with low back pain. METHODS A two-round web-based Delphi survey was conducted among purposively sampled physiotherapists with a minimum of three years of clinical experience, with post-graduation certification or specialists. Thirty statements on barriers and enablers for implementation were extracted from the qualitative phase. Statements were rated by a Delphi panel with additional open-ended feedback. After each Delphi round, participants received feedback which informed their subsequent responses. Additional qualitative feedback were analysed using qualitative content analysis. The criteria for consensus and stability were pre-determined using percentage agreement (≥ 75%), median value (≥ 4), Inter-quartile range (≤ 1), and Wilcoxon matched-pairs test respectively. RESULTS Participants in the first round were 139 and 125 of them completed the study, yielding a response rate of 90%. Participants were aged 35.2 (SD6.6) years, and 55 (39.6%) were female. Consensus was achieved in 25/30 statements. Wilcoxon's test showed stability in responses after the 5 statements failed to reach consensus: 'translate the STarT-Back Tool to pidgin language' 71% (p = 0.76), 'begin implementation with government hospitals' 63% (p = 0.11), 'share knowledge with traditional bone setters' 35% (p = 0.67), 'get second opinion on clinician's advice' 63% (p = 0.24) and 'carry out online consultations' 65% (p = 0.41). Four statements strengthened by additional qualitative data achieved the highest consensus: 'patient education' (96%), 'quality improvement appraisals' (96%), 'undergraduate training on psychosocial care' (96%) and 'patient-clinician communication' (95%). CONCLUSION There was concordance of opinion that patients should be educated to correct misplaced expectations and proper time for communication is vital to implementation. This communication should be learned at undergraduate level, and for already qualified clinicians, quality improvement appraisals are key to sustained and effective care. These recommendations provide a framework for future research on monitored implementation of stratified care in middle-income countries.
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Affiliation(s)
- Mishael Adje
- Therapeutic Sciences, Trier University of Applied Sciences, Trier, Germany. .,Institute of Family Medicine, University of Luebeck, Luebeck, Germany.
| | - Jost Steinhäuser
- grid.4562.50000 0001 0057 2672Institute of Family Medicine, University of Luebeck, Luebeck, Germany
| | - Kay Stevenson
- grid.9757.c0000 0004 0415 6205The Impact Accelerator Unit, The Medical School Keele University, Keele, United Kingdom
| | - Chidozie Mbada
- grid.25627.340000 0001 0790 5329Department of Health Professions, Manchester Metropolitan University, Manchester, United Kingdom
| | - Victor Alonge
- Department of Physiotherapy, Exercise and Sports, LUNEX International University of Health, Differdange, Luxembourg
| | - Sven Karstens
- grid.434099.30000 0001 0475 0480Therapeutic Sciences, Department of Computer Science, Trier University of Applied Sciences, Trier, Germany
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21
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No evidence for stratified exercise therapy being cost-effective compared to usual exercise therapy in patients with knee osteoarthritis: Economic evaluation alongside cluster randomized controlled trial. Braz J Phys Ther 2023; 27:100469. [PMID: 36657217 PMCID: PMC9860430 DOI: 10.1016/j.bjpt.2022.100469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 12/09/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND A stratified approach to exercise therapy may yield superior clinical and economic outcomes, given the large heterogeneity of individuals with knee osteoarthritis (OA). OBJECTIVE To evaluate the cost-effectiveness during a 12-month follow-up of a model of stratified exercise therapy compared to usual exercise therapy in patients with knee OA, from a societal and healthcare perspective. METHODS An economic evaluation was conducted alongside a cluster-randomized controlled trial in patients with knee OA (n = 335), comparing subgroup-specific exercise therapy for a 'high muscle strength subgroup', 'low muscle strength subgroup', and 'obesity subgroup' supplemented by a dietary intervention for the 'obesity subgroup' (experimental group), with usual ('non-stratified') exercise therapy (control group). Clinical outcomes included quality-adjusted life years - QALYs (EuroQol-5D-5 L), knee pain (Numerical Rating Scale) and physical functioning (Knee Injury and Osteoarthritis Outcome Score in daily living). Costs were measured by self-reported questionnaires at 3, 6, 9 and 12-month follow-up. Missing data were imputed using multiple imputation. Data were analyzed through linear regression. Bootstrapping techniques were applied to estimate statistical uncertainty. RESULTS During 12-month follow-up, there were no significant between-group differences in clinical outcomes. The total societal costs of the experimental group were on average lower compared to the control group (mean [95% confidence interval]: € 405 [-1728, 918]), albeit with a high level of uncertainty. We found a negligible difference in QALYs between groups (mean [95% confidence interval]: 0.006 [-0.011, 0.023]). The probability of stratified exercise therapy being cost-effective compared to usual exercise therapy from the societal perspective was around 73%, regardless of the willingness-to-pay threshold. However, this probability decreased substantially to 50% (willingness-to-pay threshold of €20.000/QALY) when using the healthcare perspective. Similar results were found for knee pain and physical functioning. CONCLUSIONS We found no clear evidence that stratified exercise therapy is likely to be cost-effective compared to usual exercise therapy in patients with knee OA. However, results should be interpreted with caution as the study power was lower than intended, due to the Coronavirus disease (COVID-19) pandemic.
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22
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Saunders B, Chudyk A, Protheroe J, Cooper V, Bartlam B, Birkinshaw H, Foster NE, Hill JC. Risk-based stratified primary care for common musculoskeletal pain presentations: qualitative findings from the STarT MSK cluster randomised controlled trial. BMC PRIMARY CARE 2022; 23:326. [PMID: 36522640 PMCID: PMC9754991 DOI: 10.1186/s12875-022-01924-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 11/23/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND The STarT MSK cluster randomised controlled trial (RCT) investigated the clinical- and cost-effectiveness of risk-based stratified primary care versus usual care for patients with back, neck, shoulder, knee or multi-site pain. Trial quantitative results showed risk-based stratified care was not superior to usual care for patients' clinical outcomes, but the intervention led to some changes in GP clinical decision-making. This paper reports a linked qualitative study exploring how risk-based stratified care was perceived and used in the trial, from the perspectives of clinicians and patients. METHODS Semi-structured interviews were conducted with 27 patients, and focus groups and interviews with 20 clinicians (GPs and physiotherapists) in the intervention arm of the trial. Data were analysed thematically and findings explored using Normalisation Process Theory (NPT) and the COM-B model. MAIN FINDINGS Risk-based stratified care (subgrouping and matching treatments) was found to have 'coherence' (i.e. made sense) to several clinicians and patients, in that it was well-integrated in practice, and supported clinical decision-making. However, for some GPs stratified care was less 'meaningful', as the risk-stratification tool did not fit with usual ways of consulting and added to already time-pressured consultations. GPs reported giving more patients written information/advice due to easier access to electronic information leaflets through the trial template and were motivated to refer patients to physiotherapy as they believed the trial resulted in faster physiotherapy access (although this was not the case). Patients and clinicians reported that risk-based stratified care influenced conversations in the consultation, prompting greater attention to psychosocial factors, and facilitating negotiation of treatment options. Physiotherapists saw benefits in receiving information about patients' risk subgroup on referral forms. CONCLUSION These findings provide context for interpreting some of the trial outcomes, particularly in relation to changes in clinical decision-making when risk-based stratified care was used. Findings also indicate potential reasons for lack of GP engagement with risk-based stratified care. Positive outcomes were identified that were not captured in the quantitative data, specifically that risk-based stratified care positively influenced some GP-patient conversations and facilitated negotiation of treatment options. TRIAL REGISTRATION ISRCTN15366334 (26/04/2016).
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Affiliation(s)
- Benjamin Saunders
- grid.9757.c0000 0004 0415 6205Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Adrian Chudyk
- grid.9757.c0000 0004 0415 6205Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Joanne Protheroe
- grid.9757.c0000 0004 0415 6205Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Vincent Cooper
- grid.9757.c0000 0004 0415 6205Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Bernadette Bartlam
- grid.9757.c0000 0004 0415 6205Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Hollie Birkinshaw
- grid.5491.90000 0004 1936 9297Faculty of Environmental and Life Sciences (FELS), University of Southampton, Southampton, UK
| | - Nadine E Foster
- grid.9757.c0000 0004 0415 6205Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK ,grid.1003.20000 0000 9320 7537STARS Research and Education Alliance, Surgical Treatment and Rehabilitation Service, The University of Queensland and Metro North Hospital and Health Service, QLD Herston, Australia
| | - Jonathan C Hill
- grid.9757.c0000 0004 0415 6205Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
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23
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Vervullens S, Meert L, Baert I, Smeets RJEM, Verdonk P, Rahusen F, Meeus M. Prehabilitation before total knee arthroplasty: A systematic review on the use and efficacy of stratified care. Ann Phys Rehabil Med 2022; 66:101705. [PMID: 36115573 DOI: 10.1016/j.rehab.2022.101705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 08/04/2022] [Accepted: 08/09/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Preoperative rehabilitation (hereafter called "prehabilitation") has been proposed as a potentially effective treatment to target preoperative risk factors to prevent insufficient outcome after total knee arthroplasty (TKA). PURPOSE We aimed to assess whether previous clinical trials of non-surgical, non-pharmacological prehabilitation in individuals with knee osteoarthritis (KOA) awaiting TKA focused on specific clinical phenotypes or specific individual characteristics and whether the content of the prehabilitation was stratified accordingly. Second, we aimed to summarize and compare the long-term effects of stratified and non-stratified care on pain, satisfaction, function and quality of life. METHODS A systematic literature search of PubMed, Web of Science, Scopus and Embase was performed. All relevant articles published up to April 19, 2021 reporting "(randomized controlled) clinical trials or prospective cohort studies" (S) related to the key words "total knee arthroplasty" (P), "preoperative conservative interventions" (I), "pain, function, quality of life and/or satisfaction" (O) were included. RESULTS After screening 3498 potentially eligible records, 18 studies were assessed for risk of bias. Twelve studies had low, 2 moderate, 3 serious, and one high risk of bias. The latter study was excluded, resulting in 17 included studies. Five studies investigated a"stratified prehabilitation care" and 12 "non-stratified prehabilitation care". Stratified prehabilitation in 4 studies meant that the study sample was chosen considering a predefined intervention, and in the fifth study, the prehabilitation was stratified to individuals' needs. No direct comparison between the 2 approaches was possible. We found weak evidence for a positive effect of biopsychosocial prehabilitation compared to no prehabilitation on function (stratified studies) and pain neuroscience education prehabilitation compared to biomedical education on satisfaction (non-stratified studies) at 6 months post-TKA. We found strong evidence for positive effects of exercise prehabilitation compared to no prehabilitation on pain at 6 months and on function at 12 months post-TKA (non-stratified studies). CONCLUSION More research is needed of stratified prehabilitation care focusing on individual characteristics in people with KOA awaiting TKA. REGISTRATION NUMBER This systematic review was prospectively registered at PROSPERO on March 22, 2021 (no. CRD42021221098).
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Affiliation(s)
- Sophie Vervullens
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Wilrijk, Belgium; Research School CAPHRI, Department of Rehabilitation Medicine, Maastricht University, Maastricht, the Netherlands; Pain in Motion International Research Group (PiM), www.paininmotion.be, the Netherlands
| | - Lotte Meert
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Wilrijk, Belgium; Research School CAPHRI, Department of Rehabilitation Medicine, Maastricht University, Maastricht, the Netherlands; Pain in Motion International Research Group (PiM), www.paininmotion.be, the Netherlands
| | - Isabel Baert
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Wilrijk, Belgium; Pain in Motion International Research Group (PiM), www.paininmotion.be, the Netherlands
| | - Rob J E M Smeets
- Research School CAPHRI, Department of Rehabilitation Medicine, Maastricht University, Maastricht, the Netherlands; CIR Revalidatie, location Eindhoven, the Netherlands; Pain in Motion International Research Group (PiM), www.paininmotion.be, the Netherlands
| | - Peter Verdonk
- ORTHOCA, Antwerp, Belgium and ASTARC department, Antwerp University, Belgium
| | - Frank Rahusen
- Department of Orthopaedics, St Jans Gasthuis Weert, the Netherlands
| | - Mira Meeus
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Wilrijk, Belgium; Department of Rehabilitation Sciences and Physiotherapy, Ghent University, Ghent, Belgium; Pain in Motion International Research Group (PiM), www.paininmotion.be, the Netherlands.
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24
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Boyle EM, Fary RE, Lee S, Mikhailov A, Evans K, Rebbeck T, Beales DJ. Patient perspectives of care pathways for people with low back pain: A qualitative study. Musculoskelet Sci Pract 2022; 62:102657. [PMID: 36058010 DOI: 10.1016/j.msksp.2022.102657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 08/04/2022] [Accepted: 08/13/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Low back pain (LBP) care pathways aim to enhance health outcomes through patient-clinician mutual decision-making and care coordination. However, challenges to successful translation into practice include patients' understanding, expectation, and acceptance of treatment and management strategies for LBP. This study explored patients' perspectives and/or experience of care pathways and their involvement in decision-making in primary care. METHODS A qualitative descriptive design was adopted. Semi-structured interviews were conducted with 14 participants with LBP recruited from the community. Inductive thematic analysis of the qualitative data was conducted within the design framework to enable a systematic comparison of experiences across participants and within individual cases. RESULTS Five themes described participant perspectives and understanding of care pathways: i) care pathways can guide decision-making; ii) familiarity with no and/or stepped care pathway, but preference for matched or blend of care pathways; iii) engaging in shared decision-making; iv) patient-related barriers to implementation; v) patient-related facilitators to implementation. CONCLUSIONS Participants felt that existing care pathways did not meet their needs when pain persisted. Participants preferred matched or hybrid care pathways and suggested that implementation of such pathways should focus on addressing an individual's needs. Adopting a holistic approach, and clarity in shared decision-making, were deemed crucial for effective implementation of LBP pathways in practice. Consumer (patient) engagement in the design of LBP care pathways is recommended.
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Affiliation(s)
- Eileen M Boyle
- Curtin enAble Institute and Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia.
| | - Robyn E Fary
- Curtin enAble Institute and Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Samantha Lee
- Department of Allied Health, SingHealth Polyclinics, Singapore
| | - Anton Mikhailov
- Curtin enAble Institute and Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Kerrie Evans
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Healthia Limited, Brisbane, Australia
| | - Trudy Rebbeck
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Darren J Beales
- Curtin enAble Institute and Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
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25
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Knoop J, van Lankveld W, Beijer L, Geerdink FJB, Heymans MW, Hoogeboom TJ, Hoppenbrouwers S, van Overmeeren E, Soer R, Veenhof C, Vissers KCP, van der Wees PJ, Sappelli M, Staal JB. Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care. BMC Musculoskelet Disord 2022; 23:834. [PMID: 36057717 PMCID: PMC9440317 DOI: 10.1186/s12891-022-05718-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/21/2022] [Indexed: 11/17/2022] Open
Abstract
Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain and to compare this with current practice and ‘traditional’ prediction modeling. Methods Prognostic cohort-study in primary care physiotherapy. Patients (n = 247) with acute low back pain (≤ one month) consulting physiotherapists were included. Candidate predictors were assessed by questionnaire at baseline and (to capture early recovery) after one and two weeks. Primary outcome was non-recovery after three months, defined as at least mild pain (Numeric Rating Scale > 2/10). Machine learning models to predict non-recovery were developed and internally validated, and compared with two current practices in physiotherapy (STarT Back tool and physiotherapists’ expectation) and ‘traditional’ logistic regression analysis. Results Forty-seven percent of the participants did not recover at three months. The best performing machine learning model showed acceptable predictive performance (area under the curve: 0.66). Although this was no better than a’traditional’ logistic regression model, it outperformed current practice. Conclusions We developed two prognostic models containing partially different predictors, with acceptable performance for predicting (non-)recovery in patients with acute LBP, which was better than current practice. Our prognostic models have the potential of integration in a clinical decision support system to facilitate data-driven, personalized treatment of acute low back pain, but needs external validation first. Supplementary Information The online version contains supplementary material available at 10.1186/s12891-022-05718-7.
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Affiliation(s)
- J Knoop
- Musculoskeletal Rehabilitation Research Group, HAN University of Applied Sciences, PO Box 6960, 6503 GL, Nijmegen, Netherlands.
| | - W van Lankveld
- Musculoskeletal Rehabilitation Research Group, HAN University of Applied Sciences, PO Box 6960, 6503 GL, Nijmegen, Netherlands
| | - L Beijer
- Musculoskeletal Rehabilitation Research Group, HAN University of Applied Sciences, PO Box 6960, 6503 GL, Nijmegen, Netherlands.,Research and Innovation Department, Sint Maartenskliniek, Nijmegen, Netherlands
| | - F J B Geerdink
- Research Group Smart Health, Saxion University of Applied Sciences, Enschede, Netherlands
| | - M W Heymans
- Department of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, Netherlands
| | - T J Hoogeboom
- Radboud Institute for Health Sciences, Radboud University Medical Centre, IQ Healthcare, Nijmegen, Netherlands
| | - S Hoppenbrouwers
- Academy of IT and Mediadesign, Data and Knowledge Engineering Research Group, HAN University of Applied Sciences, Nijmegen, Netherlands.,Institute for Computing and Information Sciences, Radboud University, Nijmegen, Netherlands
| | - E van Overmeeren
- Royal Dutch Society for Physical Therapy, Amersfoort, Netherlands
| | - R Soer
- Research Group Smart Health, Saxion University of Applied Sciences, Enschede, Netherlands.,University of Groningen, University Medical Center Groningen, Groningen Pain Center, Groningen, Netherlands
| | - C Veenhof
- Department of Rehabilitation, Physiotherapy Science and Sport, University Medical Center Utrecht, Utrecht, Netherlands
| | - K C P Vissers
- Department of Anesthesiology, Pain and Palliative Medicine, Radboud University Medical Center, Nijmegen, Netherlands
| | - P J van der Wees
- Radboud Institute for Health Sciences, Radboud University Medical Centre, IQ Healthcare, Nijmegen, Netherlands
| | - M Sappelli
- Academy of IT and Mediadesign, Data and Knowledge Engineering Research Group, HAN University of Applied Sciences, Nijmegen, Netherlands
| | - J B Staal
- Musculoskeletal Rehabilitation Research Group, HAN University of Applied Sciences, PO Box 6960, 6503 GL, Nijmegen, Netherlands.,Radboud Institute for Health Sciences, Radboud University Medical Centre, IQ Healthcare, Nijmegen, Netherlands
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26
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Hill JC, Garvin S, Bromley K, Saunders B, Kigozi J, Cooper V, Lewis M, Protheroe J, Wathall S, Chudyk A, Dunn KM, Birkinshaw H, Jowett S, Hay EM, van der Windt D, Mallen C, Foster NE. Risk-based stratified primary care for common musculoskeletal pain presentations (STarT MSK): a cluster-randomised, controlled trial. THE LANCET. RHEUMATOLOGY 2022; 4:e591-e602. [PMID: 36386549 PMCID: PMC9649927 DOI: 10.1016/s2665-9913(22)00159-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
BACKGROUND Risk-based stratified care shows clinical effectiveness and cost-effectiveness versus usual primary care for non-specific low back pain but is untested for other common musculoskeletal disorders. We aimed to test the clinical effectiveness and cost-effectiveness of point-of-care risk stratification (using Keele's STarT MSK Tool and risk-matched treatments) versus usual care for the five most common musculoskeletal presentations (back, neck, knee, shoulder, and multi-site pain). METHODS In this cluster-randomised, controlled trial in UK primary care with embedded qualitative and health economic studies we recruited patients from 24 general practices in the West Midlands region of England. Eligible patients were those aged 18 years or older whose general practitioner (GP) confirmed a consultation for a musculoskeletal presentation. General practices that consented to participate via a representative of the cluster were randomly assigned (1:1) to intervention or usual care, using stratified block randomisation. Researchers involved in data collection, outcome data entry, and statistical analysis were masked at both the cluster and individual participant level. Participating patients were told the study was examining GP treatment of common aches and pains and were not aware they were in a randomised trial. GPs in practices allocated to the intervention group were supported to deliver risk-based stratified care using a bespoke computer-based template, including the risk-stratification tool, and risk-matched treatment options for patients at low, medium, or high risk of poor disability or pain outcomes. There were 15 risk-matched treatment options. In the usual care group, patients with musculoskeletal pain consulting their GP received treatment as usual, typically including advice and education, medication, referral for investigations or tests, or referral to other services. The primary outcome was time-averaged pain intensity over 6 months. All analyses were done by intention to treat. The trial is registered with ISRCTN, ISRCTN15366334. RESULTS Between May 1, 2018, and April 30, 2019, 104 GPs from 24 practices (12 per study group) identified 2494 patients with musculoskeletal pain. 1211 (49%) participants consented to questionnaires (534 in the intervention group and 677 in the usual care group), with 1070 (88%) completing the follow-up questionnaire at 6 months. We found no significant difference in time-averaged pain intensity (mean(SD) mean 4·4 [SD 2·3] in the intervention group vs 4·6 [2·5] in the control group; adjusted mean difference -0·16, 95% CI -0·65 to 0·34) or in standardised function score (mean -0·06 [SD 0·94] in the intervention group vs 0·05 [1·04]; adjusted mean difference -0·07, 95% CI -0·22 to 0·08). No serious adverse events or adverse events were reported. Risk stratification received positive patient and clinician feedback. INTERPRETATION Risk stratification for patients in primary care with common musculoskeletal presentations did not lead to significant improvements in pain or function, although some aspects of GP decision making were affected, and GP and patients had positive experiences. The costs of risk-based stratified care were similar to usual care, and such a strategy only offers marginal changes in cost-effectiveness outcomes. The clinical implications from this trial are largely inconclusive. FUNDING National Institute for Health Research.
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Affiliation(s)
- Jonathan C Hill
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
- Correspondence to: Prof Jonathan C Hill, Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire ST5 5BG, UK
| | | | - Kieran Bromley
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
- Keele Clinical Trials Unit, Keele University, Staffordshire, UK
| | - Benjamin Saunders
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Jesse Kigozi
- Health Economics Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Vince Cooper
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Martyn Lewis
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
- Keele Clinical Trials Unit, Keele University, Staffordshire, UK
| | - Joanne Protheroe
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Simon Wathall
- Keele Clinical Trials Unit, Keele University, Staffordshire, UK
| | - Adrian Chudyk
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Kate M Dunn
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Hollie Birkinshaw
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Sue Jowett
- Health Economics Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Elaine M Hay
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Danielle van der Windt
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Christian Mallen
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Nadine E Foster
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
- STARS Education and Research Alliance, Surgical Treatment and Rehabilitation Service, University of Queensland and Metro North Health, QLD, Australia
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Bastos RM, Moya CR, de Vasconcelos RA, Costa LOP. Treatment-based classification for low back pain: systematic review with meta-analysis. J Man Manip Ther 2022; 30:207-227. [PMID: 35067217 PMCID: PMC9344960 DOI: 10.1080/10669817.2021.2024677] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVE To systematically review the effects of treatment-based classification (TBC) in patients with specific and nonspecific acute, subacute and chronic low back pain. METHODS The following databases were searched: MEDLINE, EMBASE, PsycINFO, Global Health, CENTRAL, Web of Science, CINAHL, SPORTDiscus, PEDro and WHO from inception up to December 2021. We used the PEDro scale, the TIDieR checklist and the GRADE approach to evaluate the risk of bias, quality on reporting and the certainty of the evidence, respectively. RESULTS Twenty-three trials (pooled n = 2,649) met the inclusion criteria. We have identified a total of 22 comparisons and 134 estimates of treatment effects. There was a very large heterogeneity with regards to the comparison groups. Most of individual trials had low risk of bias with a mean score of 6.8 (SD = 1.3) on a 0-10 scale. The certainty of evidence for most comparisons was low, which indicates that more high quality and robust trials are needed. We were able to pool the data using a meta-analysis approach for only two comparisons (TBC versus mobility exercises in patients with acute low back pain and traction for patients with sciatica). In general, the TBC approach seems to be useful for patients with acute low back pain, sciatica and with spinal stenosis. We strongly suggest readers to carefully read our summary of findings table for further details on each comparison. CONCLUSION The TBC approach seems to be useful for patients with acute low back pain, sciatica and with spinal stenosis.
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Affiliation(s)
- Robson Massi Bastos
- Masters and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo, São Paulo, Brazil,CONTACT Robson Massi Bastos Masters and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo, São Paulo, Brazil
| | - Claudia Regina Moya
- Masters and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo, São Paulo, Brazil
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Knoop J, Dekker J, van Dongen JM, van der Leeden M, de Rooij M, Peter WF, de Joode W, van Bodegom-Vos L, Lopuhaä N, Bennell KL, Lems WF, van der Esch M, Vliet Vlieland TP, Ostelo RW. Stratified exercise therapy does not improve outcomes compared with usual exercise therapy in people with knee osteoarthritis (OCTOPuS study): a cluster randomised trial. J Physiother 2022; 68:182-190. [PMID: 35760724 DOI: 10.1016/j.jphys.2022.06.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 03/28/2022] [Accepted: 06/07/2022] [Indexed: 10/17/2022] Open
Abstract
QUESTION In people with knee osteoarthritis, how much more effective is stratified exercise therapy that distinguishes three subgroups (high muscle strength subgroup, low muscle strength subgroup, obesity subgroup) in reducing knee pain and improving physical function than usual exercise therapy? DESIGN Pragmatic cluster randomised controlled trial in a primary care setting. PARTICIPANTS A total of 335 people with knee osteoarthritis: 153 in an experimental arm and 182 in a control arm. INTERVENTION Physiotherapy practices were randomised into an experimental arm providing stratified exercise therapy (supplemented by a dietary intervention from a dietician for the obesity subgroup) or a control arm providing usual, non-stratified exercise therapy. OUTCOME MEASURES Primary outcomes were knee pain severity (numerical rating scale for pain, 0 to 10) and physical function (Knee Injury and Osteoarthritis Outcome Score subscale activities of daily living, 0 to 100). Measurements were performed at baseline, 3 months (primary endpoint) and 6 and 12 months (follow-up). Intention-to-treat, multilevel, regression analysis was performed. RESULTS Negligible differences were found between the experimental and control groups in knee pain (mean adjusted difference 0.2, 95% CI -0.4 to 0.7) and physical function (-0.8, 95% CI -4.3 to 2.6) at 3 months. Similar effects between groups were also found for each subgroup separately, as well as at other time points and for nearly all secondary outcome measures. CONCLUSION This pragmatic trial demonstrated no added value regarding clinical outcomes of the model of stratified exercise therapy compared with usual exercise therapy. This could be attributed to the experimental arm therapists facing difficulty in effectively applying the model (especially in the obesity subgroup) and to elements of stratified exercise therapy possibly being applied in the control arm. REGISTRATION Netherlands National Trial Register NL7463.
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Affiliation(s)
- Jesper Knoop
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
| | - Joost Dekker
- Department of Rehabilitation Medicine, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands
| | - Johanna M van Dongen
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Marike van der Leeden
- Department of Rehabilitation Medicine, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands; Amsterdam Rehabilitation Research Centre, Reade, Amsterdam, Netherlands
| | - Mariette de Rooij
- Amsterdam Rehabilitation Research Centre, Reade, Amsterdam, Netherlands
| | - Wilfred Fh Peter
- Amsterdam Rehabilitation Research Centre, Reade, Amsterdam, Netherlands; Department of Orthopaedics, Leiden University Medical Center, Leiden, Netherlands
| | - Willemijn de Joode
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Leti van Bodegom-Vos
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | | | - Kim L Bennell
- Department of Physiotherapy, School of Health Sciences, University of Melbourne, Melbourne, Australia
| | - Willem F Lems
- Amsterdam Rehabilitation Research Centre, Reade, Amsterdam, Netherlands; Amsterdam UMC, location VUmc, Department of Rheumatology, Amsterdam, Netherlands
| | - Martin van der Esch
- Amsterdam Rehabilitation Research Centre, Reade, Amsterdam, Netherlands; Center of Expertise Urban Vitality, Health Faculty, Amsterdam University of Applied Sciences, Amsterdam, Netherlands
| | | | - Raymond Wjg Ostelo
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Department of Epidemiology and Data Science, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands
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Adje M, Steinhäuser J, Stevenson K, Mbada CE, Karstens S. Patients' and physiotherapists' perspectives on implementing a tailored stratified treatment approach for low back pain in Nigeria: a qualitative study. BMJ Open 2022; 12:e059736. [PMID: 35725255 PMCID: PMC9214370 DOI: 10.1136/bmjopen-2021-059736] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Stratified care has the potential to be efficient in addressing the physical and psychosocial components of low back pain (LBP) and optimise treatment outcomes essential in low-income countries. This study aimed to investigate the perceptions of physiotherapists and patients in Nigeria towards stratified care for the treatment of LBP, exploring barriers and enablers to implementation. METHODS A qualitative design with semistructured individual telephone interviews for physiotherapists and patients with LBP comprising research evidence and information on stratified care was adopted. Preceding the interviews, patients completed the Subgroups for Targeted Treatment tool. The interviews were recorded, transcribed and analysed following grounded theory methodology. RESULTS Twelve physiotherapists and 13 patients with LBP participated in the study (11 female, mean age 42.8 (SD 11.47) years). Seven key categories emerged: recognising the need for change, acceptance of innovation, resistance to change, adapting practice, patient's learning journey, trusting the therapist and needing conviction. Physiotherapists perceived stratified care to be a familiar approach based on their background training. The prevalent treatment tradition and the patient expectations were seen as major barriers to implementation of stratified care by the physiotherapists. Patients see themselves as more informed than therapists realise, yet they need conviction through communication and education to cooperate with their therapist using this approach. Viable facilitators were also identified as patients' trust in the physiotherapist and adaptations in terms of training and modification of the approach to enhance its use. CONCLUSION Key barriers identified are the patients' treatment expectations and physiotherapists' adherence to the tradition of practice. Physiotherapists might facilitate implementation of the stratified care by communication, hierarchical implementation and utilisation of patients' trust. Possibilities to develop a consensus on key strategies to overcome barriers and on utilisation of facilitators should be tested in future research.
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Affiliation(s)
- Mishael Adje
- Therapeutic Sciences, Trier University of Applied Sciences, Trier, Germany
- Institute of Family Medicine, University of Lübeck, Lübeck, Germany
| | - Jost Steinhäuser
- Institute of Family Medicine, University of Lübeck, Lübeck, Germany
| | - Kay Stevenson
- The Impact Accelerator Unit, The Medical School Keele University, Keele, UK
| | | | - Sven Karstens
- Therapeutic Sciences, Department of Computer Science, Trier University of Applied Sciences, Trier, Germany
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Comer C, Ammendolia C, Battié MC, Bussières A, Fairbank J, Haig A, Melloh M, Redmond A, Schneider MJ, Standaert CJ, Tomkins-Lane C, Williamson E, Wong AY. Consensus on a standardised treatment pathway algorithm for lumbar spinal stenosis: an international Delphi study. BMC Musculoskelet Disord 2022; 23:550. [PMID: 35676677 PMCID: PMC9175311 DOI: 10.1186/s12891-022-05485-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/27/2022] [Indexed: 12/29/2022] Open
Abstract
Background Lumbar spinal stenosis (LSS) is a common degenerative spinal condition in older adults associated with disability, diminished quality of life, and substantial healthcare costs. Individual symptoms and needs vary. With sparse and sometimes inconsistent evidence to guide clinical decision-making, variable clinical care may lead to unsatisfactory patient outcomes and inefficient use of healthcare resources. Methods A three-phase modified Delphi study comprising four consensus rounds was conducted on behalf of the International Taskforce for the Diagnosis and Management of LSS to develop a treatment algorithm based on multi-professional international expert consensus. Participants with expertise in the assessment and management of people with LSS were invited using an international distribution process used for two previous Delphi studies led by the Taskforce. Separate treatment pathways for patients with different symptom types and severity were developed and incorporated into a proposed treatment algorithm through consensus rounds 1 to 3. Agreement with the proposed algorithm was evaluated in the final consensus round. Results The final algorithm combines stratified and stepped approaches. When indicated, immediate investigation and surgery is advocated. Otherwise, a stepped approach is suggested when self-directed care is unsatisfactory. This starts with tailored rehabilitation, then more complex multidisciplinary care, investigations and surgery options if needed. Treatment options in each step depend on clinical phenotype and symptom severity. Treatment response guides pathway entrance and exit points. Of 397 study participants, 86% rated their agreement ≥ 4 for the proposed algorithm on a 0–6 scale, of which 22% completely agreed. Only 7% disagreed. Over 70% of participants felt that the algorithm would be useful for clinicians in public healthcare (both primary care and specialist settings) and in private healthcare settings, and that a simplified version would help patients in shared decision-making. Conclusions International and multi-professional agreement was achieved for a proposed LSS treatment algorithm developed through expert consensus. The algorithm advocates different pathway options depending on clinical indications. It is not intended as a treatment protocol and will require evaluation against current care for clinical and cost-effectiveness. It may, however, serve as a clinical guide until evidence is sufficient to inform a fully stratified care model. Supplementary Information The online version contains supplementary material available at 10.1186/s12891-022-05485-5.
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Affiliation(s)
- Christine Comer
- Leeds Community Healthcare NHS Trust, Leeds, UK. .,Faculty of Medicine, University of Leeds, Leeds, UK.
| | - Carlo Ammendolia
- Faculty of Medicine, University of Toronto and Mount Sinai Hospital, Toronto, ON, Canada
| | - Michele C Battié
- Faculty of Health Sciences and Western's Bone & Joint Institute, Western University, London, ON, Canada
| | - André Bussières
- School of Physical Medicine & Occupational Therapy, McGill University, Montreal, Canada.,Université du Québec À Trois-Rivières, Trois-Rivières, QC, Canada
| | - Jeremy Fairbank
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.,Nuffield Orthopaedic Centre, Oxford Nuffield NHS Trust, Windmill Road, Oxford, UK
| | - Andrew Haig
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, USA
| | - Markus Melloh
- Faculty of Health, Te Herenga Waka - Victoria University of Wellington, Wellington, New Zealand.,Institute of Health Sciences, Zurich University of Applied Sciences, Winterthur, Switzerland.,Curtin Medical School, Curtin University and UWA Medical School, University of Western Australia, Bentley, Australia
| | - Anthony Redmond
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Michael J Schneider
- Department of Physical Therapy, Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Christopher J Standaert
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA
| | - Christy Tomkins-Lane
- Department of Health and Physical Education, Mount Royal University, Calgary, Canada
| | - Esther Williamson
- Nuffield Department of Orthopaedics Rheumatology & Musculoskeletal Sciences, Centre for Rehabilitation Research, University of Oxford, Windmill Road, Oxford, UK
| | - Arnold Yl Wong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China
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Hill J, Try F, Agnew G, Saywell N. Perspectives and experiences of physiotherapists and general practitioners in the use of the STarT Back Tool: a review and meta-synthesis. J Prim Health Care 2022; 14:164-172. [PMID: 35771704 DOI: 10.1071/hc21069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 05/11/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction The STarT Back Tool (SBT) is used to triage people with acute low back pain (LBP) into treatment groups, matched to their risk of chronicity. It was developed in the UK where it has been shown to improve clinical outcomes, patient satisfaction, and reduce time off work. Successful implementation of the SBT outside the UK is dependent on health practitioner's attitudes and the healthcare system in which they work. Gaining health practitioners' perspectives on the SBT is an important step in implementation. Methods A computerised search of qualitative literature was conducted across seven databases in March 2021 using keywords to identify studies investigating the perspectives of physiotherapists and general practitioners on the use of the SBT in primary health care. Study quality was assessed using the Critical Appraisal Skills Programme (CASP) tool. Data were coded and analysed using reflexive thematic analysis. Results Eight articles met inclusion criteria and included the views of 76 physiotherapists and 65 general practitioners, working in primary health care in four countries. Three themes were created from the data: 'Making it work', identifies factors that influence implementation and continued use of the SBT. The second 'will I do it?', captured potential consequences of adopting the SBT, and the third, 'it's all about the patient' emphasised how the SBT may affect patients. Discussion Physiotherapists and general practitioners found using the SBT frequently enhanced practice. General practitioners expressed concerns about time constraints and the SBT's potential to undermine clinical experience. Findings from this study will inform modifications to contextualise the tool to each healthcare environment.
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Affiliation(s)
- Julia Hill
- Department of Physiotherapy, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand; and Active Living and Rehabilitation: Aotearoa New Zealand, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Freya Try
- Department of Physiotherapy, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Georgia Agnew
- Department of Physiotherapy, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Nicola Saywell
- Department of Physiotherapy, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
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Schröder K, Öberg B, Enthoven P, Hedevik H, Abbott A. Improved adherence to clinical guidelines for low back pain after implementation of the BetterBack model of care: A stepped cluster randomized controlled trial within a hybrid type 2 trial. Physiother Theory Pract 2022:1-15. [PMID: 35230212 DOI: 10.1080/09593985.2022.2040669] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND The BetterBack model of care (MoC) for low back pain (LBP) was recently developed in Swedish physiotherapy (PT) primary care. OBJECTIVE To evaluate if PTs' adherence to LBP clinical practice guidelines (CPGs) improves after implementation of the BetterBack MoC (intervention). METHODS This was a stepped, single-blinded cluster randomized controlled trial. Patients nested in the three clusters were allocated to routine care (n = 222) or intervention (n = 278). The primary outcome was referral to specialist consultation. This was among five best practice recommendations divided into an assessment quality index (no referral to specialist consultation and no medical imaging) and a treatment quality index (use of educational interventions; use of exercise interventions; no use of non-evidence-based physiotherapy). For overall adherence, patients had to be treated with all five recommendations fulfilled. Logistic regression was used for between-group comparisons. RESULTS The proportion of patients receiving referral to specialist consultation during the PT treatment period was low in both groups with no between-group differences. However, patients in the intervention group showed significantly higher assessment quality index, treatment quality index and overall adherence compared to routine care. Adherence to the separate recommendations showed improved stratified number of visits, use of exercise was maintained high, patient educational intervention increased and use of non-evidence-based physiotherapy decreased. A reduction of medical imaging during the physiotherapy treatment period was also observed. CONCLUSIONS The adoption of CPGs could be substantially improved by introducing a MoC through PT training and supportive materials.
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Affiliation(s)
- Karin Schröder
- Unit of Physiotherapy, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Birgitta Öberg
- Unit of Physiotherapy, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Paul Enthoven
- Unit of Physiotherapy, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Henrik Hedevik
- Unit of Physiotherapy, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Allan Abbott
- Unit of Physiotherapy, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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Kinel E, Roncoletta P, Pietrangelo T, D’Amico M. 3D Stereophotogrammetric Quantitative Evaluation of Posture and Spine Proprioception in Subacute and Chronic Nonspecific Low Back Pain. J Clin Med 2022; 11:546. [PMID: 35159999 PMCID: PMC8836788 DOI: 10.3390/jcm11030546] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/18/2022] [Accepted: 01/20/2022] [Indexed: 02/04/2023] Open
Abstract
The literature shows that low back pain causes a reduced lumbar range of movement, affecting patients' proprioception and motor control. Nevertheless, studies have found that proprioception and motor control of the spine and posture are vague and individually expressed even in healthy young adults. This study aimed to investigate the standing posture and its modifications induced by an instinctive self-correction manoeuvre in subacute and chronic nonspecific low back pain (NSLBP) patients to clarify how NSLBP relates to body upright posture, proprioception, and motor control and how these are modified in patients compared to healthy young adults (121 healthy young adults: 57 females and 64 males). A cohort of 83 NSLBP patients (43 females, 40 males) were recruited in a cross-sectional observational study. Patients' entire body posture, including 3D spine shape reconstruction, was measured using a non-ionising 3D optoelectronic stereophotogrammetric approach. Thirteen quantitative biomechanical parameters describing the nature of body posture were computed. The statistical analysis was performed using multivariate methods. NSLBP patients did not present an altered proprioception and motor control ability compared to healthy young adults. Furthermore, as for healthy subjects, NSLBP patients could not focus and control their posture globally. Proprioception and motor control in natural erect standing are vague for most people regardless of gender and concurrent nonspecific low back pain. Self-correction manoeuvres improving body posture and spine shape must be learned with specific postural training focusing on the lumbar spine.
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Affiliation(s)
- Edyta Kinel
- Chair of Rehabilitation and Physiotherapy, Department of Rehabilitation, University of Medical Sciences, 61-701 Poznan, Poland
| | - Piero Roncoletta
- SMART (Skeleton Movement Analysis and Advanced Rehabilitation Technologies) LAB, Bioengineering & Biomedicine Company Srl, 66020 San Giovanni Teatino, Italy; (P.R.); (M.D.)
| | - Tiziana Pietrangelo
- Department of Neuroscience, Imaging and Clinical Sciences, University “G.d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy;
| | - Moreno D’Amico
- SMART (Skeleton Movement Analysis and Advanced Rehabilitation Technologies) LAB, Bioengineering & Biomedicine Company Srl, 66020 San Giovanni Teatino, Italy; (P.R.); (M.D.)
- Department of Neuroscience, Imaging and Clinical Sciences, University “G.d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy;
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Augeard N, Bostick G, Miller J, Walton D, Tousignant-Laflamme Y, Hudon A, Bussières A, Cooper L, McNiven N, Thomas A, Singer L, Fishman SM, Bement MH, Hush JM, Sluka KA, Watt-Watson J, Carlesso LC, Dufour S, Fletcher R, Harman K, Hunter J, Ngomo S, Pearson N, Perreault K, Shay B, Stilwell P, Tupper S, Wideman TH. Development of a national pain management competency profile to guide entry-level physiotherapy education in Canada. Can J Pain 2022; 6:1-11. [PMID: 35036823 PMCID: PMC8757473 DOI: 10.1080/24740527.2021.2004103] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/04/2021] [Accepted: 11/05/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND National strategies from North America call for substantive improvements in entry-level pain management education to help reduce the burden of chronic pain. Past work has generated a valuable set of interprofessional pain management competencies to guide the education of future health professionals. However, there has been very limited work that has explored the development of such competencies for individual professions in different regions. Developing profession-specific competencies tailored to the local context is a necessary first step to integrate them within local regulatory systems. Our group is working toward this goal within the context of entry-level physiotherapy (PT) programs across Canada. AIMS This study aimed to create a consensus-based competency profile for pain management, specific to the Canadian PT context. METHODS A modified Delphi design was used to achieve consensus across Canadian university-based and clinical pain educators. RESULTS Representatives from 14 entry-level PT programs (93% of Canadian programs) and six clinical educators were recruited. After two rounds, a total of 15 competencies reached the predetermined endorsement threshold (75%). Most participants (85%) reported being "very satisfied" with the process. CONCLUSIONS This process achieved consensus on a novel pain management competency profile specific to the Canadian PT context. The resulting profile delineates the necessary abilities required by physiotherapists to manage pain upon entry to practice. Participants were very satisfied with the process. This study also contributes to the emerging literature on integrated research in pain management by profiling research methodology that can be used to inform related work in other health professions and regions.
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Affiliation(s)
- Nathan Augeard
- School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Geoff Bostick
- Department of Physical Therapy, University of Alberta, Edmonton, Alberta, Canada
| | - Jordan Miller
- School of Rehabilitation Therapy, Queen’s University, Kingston, Ontario, Canada
| | - David Walton
- School of Physical Therapy, Western University, London, Ontario, Canada
| | | | - Anne Hudon
- School of Rehabilitation, Université de Montréal, Montreal, Quebec, Canada
| | - André Bussières
- School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Lynn Cooper
- Canadian Injured Workers Alliance, Thunder Bay, Ontario, Canada
| | - Nicol McNiven
- Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Aliki Thomas
- School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Lesley Singer
- School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Scott M. Fishman
- Davis School of Medicine, University of California, Sacramento, California, USA
| | - Marie H. Bement
- Department of Physical Therapy, Marquette University, Milwaukee, Wisconsin, USA
| | - Julia M. Hush
- Department of Health Professions, Macquarie University, Sydney, New South Wales, Australia
| | - Kathleen A. Sluka
- Department of Physical Therapy and Rehabilitation Science, University of Iowa, Iowa City, Iowa, USA
| | - Judy Watt-Watson
- Lawrence S Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
| | - Lisa C. Carlesso
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Sinead Dufour
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Roland Fletcher
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Katherine Harman
- School of Physiotherapy, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Judith Hunter
- Department of Physical Therapy, University of Toronto, Toronto, Ontario, Canada
| | - Suzy Ngomo
- Department of Health Science, Université du Québec à Chicoutimi, Chicoutimi, Quebec, Canada
| | - Neil Pearson
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kadija Perreault
- Department of Rehabilitation Science, Faculty of Medicine, Université Laval, Québec City, Quebec, Canada
| | - Barbara Shay
- Department of Physical Therapy, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Peter Stilwell
- School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Susan Tupper
- School of Rehabilitation Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Timothy H. Wideman
- School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
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Zadro JR, Needs C, Foster NE, Martens D, Coombs DM, Machado GC, Adams C, Han CS, Maher CG. Feasibility of delivering and evaluating stratified care integrated with telehealth ('Rapid Stratified Telehealth') for patients with low back pain: protocol for a feasibility and pilot randomised controlled trial. BMJ Open 2022; 12:e056339. [PMID: 35017255 PMCID: PMC8753403 DOI: 10.1136/bmjopen-2021-056339] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Long waiting time is an important barrier to accessing recommended care for low back pain (LBP) in Australia's public health system. This study describes the protocol for a randomised controlled trial (RCT) that aims to establish the feasibility of delivering and evaluating stratified care integrated with telehealth ('Rapid Stratified Telehealth'), which aims to reduce waiting times for LBP. METHODS AND ANALYSIS We will conduct a single-centre feasibility and pilot RCT with nested qualitative interviews. Sixty participants with LBP newly referred to a hospital outpatient clinic will be randomised to receive Rapid Stratified Telehealth or usual care. Rapid Stratified Telehealth involves matching the mode and type of care to participants' risk of persistent disabling pain (using the Keele STarT MSK Tool) and presence of potential radiculopathy. 'Low risk' patients are matched to one session of advice over the telephone, 'medium risk' to telehealth physiotherapy plus App-based exercises, 'high risk' to telehealth physiotherapy, App-based exercises, and an online pain education programme, and 'potential radiculopathy' fast tracked to usual in-person care. Primary outcomes include the feasibility of delivering Rapid Stratified Telehealth (ie, acceptability assessed through interviews with clinicians and patients, intervention fidelity, appointment duration, App useability and online pain education programme usage) and evaluating Rapid Stratified Telehealth in a future trial (ie, recruitment rates, consent rates, lost to follow-up and missing data). Secondary outcomes include waiting times, number of appointments, intervention and healthcare costs, clinical outcomes (pain, function, quality of life, satisfaction), healthcare use and adverse events (AEs). Quantitative analyses will be descriptive and inform a future adequately-powered RCT. Interview data will be analysed using thematic analysis. ETHICS AND DISSEMINATION This study has received approval from the Ethics Review Committee (RPAH Zone: X21-0221). Results will be published in peer-reviewed journals and presented at conferences. TRIAL REGISTRATION NUMBER ACTRN12621001104842.
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Affiliation(s)
- Joshua R Zadro
- Institute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia
| | - Christopher Needs
- Royal Prince Alfred Hospital, Sydney Local Health District, Camperdown, New South Wales, Australia
| | - Nadine E Foster
- Surgical, Treatment and Rehabilitation Service (STARS) Research and Education Alliance, The University of Queensland, Herston, Queensland, Australia
| | - David Martens
- Royal Prince Alfred Hospital, Sydney Local Health District, Camperdown, New South Wales, Australia
| | - Danielle M Coombs
- Institute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia
| | - Gustavo C Machado
- Institute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia
| | - Cameron Adams
- Royal Prince Alfred Hospital, Sydney Local Health District, Camperdown, New South Wales, Australia
| | - Christopher S Han
- Institute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia
| | - Christopher G Maher
- Institute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia
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Falla D, Devecchi V, Jiménez-Grande D, Rügamer D, Liew BXW. Machine learning approaches applied in spinal pain research. J Electromyogr Kinesiol 2021; 61:102599. [PMID: 34624604 DOI: 10.1016/j.jelekin.2021.102599] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 07/26/2021] [Accepted: 08/01/2021] [Indexed: 01/13/2023] Open
Abstract
The purpose of this narrative review is to provide a critical reflection of how analytical machine learning approaches could provide the platform to harness variability of patient presentation to enhance clinical prediction. The review includes a summary of current knowledge on the physiological adaptations present in people with spinal pain. We discuss how contemporary evidence highlights the importance of not relying on single features when characterizing patients given the variability of physiological adaptations present in people with spinal pain. The advantages and disadvantages of current analytical strategies in contemporary basic science and epidemiological research are reviewed and we consider how analytical machine learning approaches could provide the platform to harness the variability of patient presentations to enhance clinical prediction of pain persistence or recurrence. We propose that machine learning techniques can be leveraged to translate a potentially heterogeneous set of variables into clinically useful information with the potential to enhance patient management.
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Affiliation(s)
- Deborah Falla
- Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, UK.
| | - Valter Devecchi
- Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, UK
| | - David Jiménez-Grande
- Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, UK
| | - David Rügamer
- Department of Statistics, Ludwig-Maximilians-Universität München, Germany
| | - Bernard X W Liew
- School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, Essex, UK
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Education With Therapeutic Alliance Did Not Improve Symptoms in Patients With Chronic Low Back Pain and Low Risk of Poor Prognosis Compared to Education Without Therapeutic Alliance: A Randomized Controlled Trial. J Orthop Sports Phys Ther 2021; 51:392-400. [PMID: 33962515 DOI: 10.2519/jospt.2021.9636] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To compare the effectiveness of an education intervention with or without the addition of the therapeutic alliance to no education intervention in patients with nonspecific chronic low back pain (LBP) and low risk of poor prognosis. DESIGN Randomized controlled trial. Randomization was performed using randomly generated numbers. METHODS Two hundred twenty-two patients with nonspecific chronic LBP and low risk of poor prognosis from 2 university physical therapy services in Taubaté, Brazil were randomized into 3 groups: education plus therapeutic alliance, education only, and no education. Primary outcomes were pain (measured with the numeric pain-rating scale) and patient-specific disability (measured with the Patient-Specific Functional Scale), assessed 1 month after randomization. The patients, therapists, and assessors were not blinded due to the nature of the intervention and self-reported outcomes. RESULTS Patients were recruited between November 2015 and February 2017. There was a loss of 17 (7.6%) follow-up assessments at 1 month, 28 (12.6%) at 6 months, and 31 (13.9%) at 12 months after randomization, and intention-to-treat analyses were conducted. There were no significant differences in pain between groups. However, there was a significant improvement in patient-specific disability for the education-plus-therapeutic alliance and education-only groups compared to no education after 1 month (mean difference, -1.41; 95% confidence interval: -2.31, -0.51 and -0.95; 95% confidence interval: -1.85, -0.04, respectively). CONCLUSION An education intervention did not provide clinically relevant improvements in patient-specific disability and did not influence pain in patients with nonspecific chronic LBP and low risk of poor prognosis. Additionally, there was no difference between interventions with or without emphasis on the therapeutic alliance. J Orthop Sports Phys Ther 2021;51(8):392-400. Epub 7 May 2021. doi:10.2519/jospt.2021.9636.
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Morsø L, Olsen Rose K, Schiøttz-Christensen B, Sowden G, Søndergaard J, Christiansen DH. Effectiveness of stratified treatment for back pain in Danish primary care: A randomized controlled trial. Eur J Pain 2021; 25:2020-2038. [PMID: 34101953 PMCID: PMC8518659 DOI: 10.1002/ejp.1818] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 05/30/2021] [Indexed: 11/08/2022]
Abstract
Background A randomized controlled trial (RCT) of stratified care demonstrated superior clinical outcomes and cost‐effectiveness for low back pain (LBP) patients in UK primary care. This is the first study in Europe, outside of the original UK study, to investigate the clinical efficacy and cost‐effectiveness of stratified care compared with current practice for patients with non‐specific LBP. Methods The study was a two‐armed RCT. Danish primary care patients with LBP were randomized to stratified care (n = 169) or current practice (n = 164). Primary outcomes at 3‐ and 12‐months' follow‐up were Roland Morris Disability Questionnaire (RDMQ), patient‐reported global change and time off work. Secondary outcomes included pain intensity, patient satisfaction, healthcare resource utilization and quality‐adjusted life years. Results Intention‐to‐treat analyses found no between‐group difference in RMDQ scores at 3 months (0.5, 95% CI −1.8 to 0.9) or 12 months (0.4, −2.1 to 1.3). No overall differences were found between the arms at 3 and 12 months with respect to time off work or secondary outcomes. Stratified care intervention resulted in significantly fewer treatment sessions (3.5 [SD 3.1] vs. 4.5 [3.5]) and significantly lower total healthcare costs (€) (13.4 [529] vs. 228 [830], p = .002). There was no difference in cost‐effectiveness (0.09, 0.05 to 0.13 vs. 0.10, 0.07–0.14, p = .70). Conclusions There was no significant difference in clinical outcomes between patients with non‐specific LBP receiving stratified care and those receiving current practice. However, stratified care may reduce total healthcare costs if implemented in Danish primary care. Significance Stratified care for low back pain based on risk profile is recommended by recent evidence based clinical guidelines. This study is the first broad replication of the STarT Back Trial in Europe. Therefore, the study adds to the body of knowledge evaluating the effectiveness of stratified care for low back pain in primary care, and provides insight into the effects of stratification on clinical practice.
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Affiliation(s)
- Lars Morsø
- Clinical Department, University of Southern Denmark, Odense, Denmark
| | - Kim Olsen Rose
- Department of Business and Economics, DaCHE, University of Southern Denmark, Odense, Denmark
| | | | | | - Jens Søndergaard
- Research Unit of General Practice, University of Southern Denmark, Odense, Denmark
| | - David H Christiansen
- Department of Occupational Medicine, Regional Hospital West Jutland, University Research Clinic, Herning, Denmark
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Dunn KM, Campbell P, Lewis M, Hill JC, van der Windt DA, Afolabi E, Protheroe J, Wathall S, Jowett S, Oppong R, Mallen CD, Hay EM, Foster NE. Refinement and validation of a tool for stratifying patients with musculoskeletal pain. Eur J Pain 2021; 25:2081-2093. [PMID: 34101299 DOI: 10.1002/ejp.1821] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 05/25/2021] [Accepted: 06/04/2021] [Indexed: 01/05/2023]
Abstract
BACKGROUND Patients with musculoskeletal pain in different body sites share common prognostic factors. Using prognosis to stratify and treatment match can be clinically and cost-effective. We aimed to refine and validate the Keele STarT MSK Tool for prognostic stratification of musculoskeletal pain patients. METHODS Tool refinement and validity was tested in a prospective cohort study, and external validity examined in a pilot cluster randomized controlled trial (RCT). Study population comprised 2,414 adults visiting U.K. primary care with back, neck, knee, shoulder or multisite pain returning postal questionnaires (cohort: 1,890 [40% response]; trial: 524). Cohort baseline questionnaires included a draft tool plus refinement items. Trial baseline questionnaires included the Keele STarT MSK Tool. Physical health (SF-36 Physical Component Score [PCS]) and pain intensity were assessed at 2- and 6-month cohort follow-up; pain intensity was measured at 6-month trial follow-up. RESULTS The tool was refined by replacing (3), adding (3) and removing (2) items, resulting in a 10-item tool. Model fit (R2 ) was 0.422 and 0.430 and discrimination (c statistic) 0.839 and 0.822 for predicting 6-month cohort PCS and pain (respectively). The tool classified 24.9% of cohort participants at low, 41.7% medium and 33.4% high risk, clearly discriminating between subgroups. The tool demonstrated model fit of 0.224 and discrimination 0.73 in trial participants. Multiple imputation confirmed robustness of findings. CONCLUSIONS The Keele STarT MSK Tool demonstrates good validity and acceptable predictive performance and clearly identifies groups of musculoskeletal pain patients with different characteristics and prognosis. Using prognostic information for stratification and treatment matching may be clinically/cost-effective. SIGNIFICANCE The paper presents the first musculoskeletal pain prognostic stratification tool specifically for use among all primary care patients with the five most common musculoskeletal pain presentations (back, neck, knee, shoulder or multisite pain). The Keele STarT MSK Tool identifies groups of musculoskeletal pain patients with clearly different characteristics and prognosis. Using this tool for stratification and treatment matching may be clinically and cost-effective.
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Affiliation(s)
- Kate M Dunn
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK
| | - Paul Campbell
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK
| | - Martyn Lewis
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK.,Keele Clinical Trials Unit (CTU), Faculty of Medicine and Health Sciences, Keele University, Keele, UK
| | - Jonathan C Hill
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK
| | - Danielle A van der Windt
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK
| | - Ebenezer Afolabi
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK.,Keele Clinical Trials Unit (CTU), Faculty of Medicine and Health Sciences, Keele University, Keele, UK
| | - Joanne Protheroe
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK
| | - Simon Wathall
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK.,Keele Clinical Trials Unit (CTU), Faculty of Medicine and Health Sciences, Keele University, Keele, UK
| | - Sue Jowett
- Health Economics Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Raymond Oppong
- Health Economics Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Christian D Mallen
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK
| | - Elaine M Hay
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK
| | - Nadine E Foster
- Primary Care Centre Versus Arthritis, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK.,Keele Clinical Trials Unit (CTU), Faculty of Medicine and Health Sciences, Keele University, Keele, UK
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40
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Standal MI, Aasdahl L, Jensen C, Foldal VS, Hagen R, Fors EA, Solbjør M, Hjemdal O, Grotle M, Meisingset I. Subgroups of Long-Term Sick-Listed Based on Prognostic Return to Work Factors Across Diagnoses: A Cross-Sectional Latent Class Analysis. JOURNAL OF OCCUPATIONAL REHABILITATION 2021; 31:383-392. [PMID: 33052511 PMCID: PMC8172395 DOI: 10.1007/s10926-020-09928-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 09/29/2020] [Indexed: 06/11/2023]
Abstract
Comorbidity is common among long-term sick-listed and many prognostic factors for return to work (RTW) are shared across diagnoses. RTW interventions have small effects, possibly due to being averaged across heterogeneous samples. Identifying subgroups based on prognostic RTW factors independent of diagnoses might help stratify interventions. The aim of this study was to identify and describe subgroups of long-term sick-listed workers, independent of diagnoses, based on prognostic factors for RTW. Latent class analysis of 532 workers sick-listed for eight weeks was used to identify subgroups based on seven prognostic RTW factors (self-reported health, anxiety and depressive symptoms, pain, self-efficacy, work ability, RTW expectations) and four covariates (age, gender, education, physical work). Four classes were identified: Class 1 (45% of participants) was characterized by favorable scores on the prognostic factors; Class 2 (22%) by high anxiety and depressive symptoms, younger age and higher education; Class 3 (16%) by overall poor scores including high pain levels; Class 4 (17%) by physical work and lack of workplace adjustments. Class 2 included more individuals with a psychological diagnosis, while diagnoses were distributed more proportionate to the sample in the other classes. The identified classes illustrate common subgroups of RTW prognosis among long-term sick-listed individuals largely independent of diagnosis. These classes could in the future assist RTW services to provide appropriate type and extent of follow-up, however more research is needed to validate the class structure and examine how these classes predict outcomes and respond to interventions.
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Affiliation(s)
- Martin Inge Standal
- Department of Psychology, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
| | - Lene Aasdahl
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Unicare Helsefort Rehabilitation Centre, Rissa, Norway
| | - Chris Jensen
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- National Center for Occupational Rehabilitation, Rauland, Norway
| | - Vegard Stolsmo Foldal
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Roger Hagen
- Department of Psychology, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Egil Andreas Fors
- General Practice Research Unit, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marit Solbjør
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Odin Hjemdal
- Department of Psychology, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Margreth Grotle
- Department of Physiotherapy, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
- Department for Research of Musculoskeletal Disorders (FORMI), Oslo University Hospital, Oslo, Norway
| | - Ingebrigt Meisingset
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
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Patricio P, Roy JS, Rohel A, Gariépy C, Émond C, Hamel É, Massé-Alarie H. The Effect of Noninvasive Brain Stimulation to Reduce Nonspecific Low Back Pain: A Systematic Review and Meta-analysis. Clin J Pain 2021; 37:475-485. [PMID: 33949359 DOI: 10.1097/ajp.0000000000000934] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 03/03/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVE We conducted a systematic review/meta-analysis to evaluate noninvasive brain stimulation (NIBS) efficacy to alleviate pain and improve disability in low back pain (LBP). MATERIALS AND METHODS A systematic literature search was performed by a librarian in MEDLINE, Embase, EBM Reviews, CINAHL, and Web of Science databases (last search: January 14, 2021). Data were pooled by the number of sessions and follow-up periods. Independent reviewers performed screening, data extraction, and risk of bias. Pain reduction and disability were used as outcomes. RESULTS Twelve articles were included in the qualitative synthesis and 8 in the meta-analysis. A single session of NIBS reduced pain compared with sham (standardized mean difference: -0.47; P<0.001; very low-quality evidence). Repeated sessions of NIBS did not impact pain at short-term (mean difference [MD]: -0.31; P=0.23) or midterm (MD: -0.56; P=0.33; moderate quality evidence). Combining NIBS with cointerventions did not influence pain (MD: -0.31; P=0.30; moderate quality evidence). NIBS did not have a statistically significant impact on disability. DISCUSSION There is very low-quality evidence suggesting that a single NIBS session reduces LBP intensity. In contrast, there is moderate quality evidence that repeated NIBS sessions or combination with cointervention did not improve pain or disability. Thus, current results do not support NIBS use to treat chronic LBP. Considering that tDCS was tested in 8 of 12 studies with little success, studies focusing on different NIBS techniques or innovative parameters are required to determine their potential to improve pain and disability in chronic LBP.
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Affiliation(s)
- Philippe Patricio
- Department of Rehabilitation, Faculty of Medicine, Laval University
- Center for Interdisciplinary Research in Rehabilitation and Social Integration, Quebec City, QC, Canada
| | - Jean-Sébastien Roy
- Department of Rehabilitation, Faculty of Medicine, Laval University
- Center for Interdisciplinary Research in Rehabilitation and Social Integration, Quebec City, QC, Canada
| | - Antoine Rohel
- Department of Rehabilitation, Faculty of Medicine, Laval University
- Center for Interdisciplinary Research in Rehabilitation and Social Integration, Quebec City, QC, Canada
| | - Cynthia Gariépy
- Department of Rehabilitation, Faculty of Medicine, Laval University
| | - Camille Émond
- Department of Rehabilitation, Faculty of Medicine, Laval University
| | - Élodie Hamel
- Department of Rehabilitation, Faculty of Medicine, Laval University
| | - Hugo Massé-Alarie
- Department of Rehabilitation, Faculty of Medicine, Laval University
- Center for Interdisciplinary Research in Rehabilitation and Social Integration, Quebec City, QC, Canada
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Mansell G, Corp N, Wynne-Jones G, Hill J, Stynes S, van der Windt D. Self-reported prognostic factors in adults reporting neck or low back pain: An umbrella review. Eur J Pain 2021; 25:1627-1643. [PMID: 33864327 DOI: 10.1002/ejp.1782] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 04/09/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Numerous systematic reviews have attempted to synthesize evidence on prognostic factors for predicting future outcomes such as pain, disability and return-to-work/work absence in neck and low back pain populations. DATABASES AND DATATREATMENT An umbrella review of systematic reviews was conducted to summarize the magnitude and quality of the evidence for each prognostic factor investigated. Searches were limited to the last 10 years (2008-11th April 2018, updated 28th September 2020). A two-stage approach was undertaken: in stage one, data on prognostic factors was extracted from systematic reviews identified from the systematic search that met the inclusion criteria. Where a prognostic factor was investigated in ≥1 systematic review and where 50% or more of those reviews found an association between the prognostic factor and one of the outcomes of interest, it was taken forward to stage two. In stage two, additional information extracted included the strength of association found, consistency of effects and risk of bias. The GRADE approach was used to grade confidence in the evidence. RESULTS Stage one identified 41 reviews (90 prognostic factors), with 35 reviews (25 prognostic factors) taken forward to stage two. Seven prognostic factors (disability/activity limitation, mental health; pain intensity; pain severity; coping; expectation of outcome/recovery and fear-avoidance) were judged as having moderate confidence for robust findings. CONCLUSIONS Although there was conflicting evidence for the strength of association with outcome, these factors may be used for identifying vulnerable subgroups or people able to self-manage. Further research can investigate the impact of using such prognostic information on treatment/referral decisions and patient outcomes.
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Affiliation(s)
- Gemma Mansell
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Nadia Corp
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Gwenllian Wynne-Jones
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Jonathan Hill
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Siobhán Stynes
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
| | - Daniëlle van der Windt
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
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van den Broek AG, Kloek CJJ, Pisters MF, Veenhof C. Validity and reliability of the Dutch STarT MSK tool in patients with musculoskeletal pain in primary care physiotherapy. PLoS One 2021; 16:e0248616. [PMID: 33735303 PMCID: PMC7971537 DOI: 10.1371/journal.pone.0248616] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 03/02/2021] [Indexed: 12/29/2022] Open
Abstract
Objective To evaluate the validity and reliability of the Dutch STarT MSK tool in patients with musculoskeletal pain in primary care physiotherapy. Methods Physiotherapists included patients with musculoskeletal pain, aged 18 years or older. Patients completed a questionnaire at baseline and follow-up at 5 days and 3 months, respectively. Construct validity was assessed by comparing scores of STarT MSK items with reference questionnaires. Pearson’s correlation coefficients were calculated to test predefined hypotheses. Test-retest reliability was evaluated by calculating quadratic-weighted kappa coefficients for overall STarT MSK tool scores (range 0–12) and prognostic subgroups (low, medium and high risk). Predictive validity was assessed by calculating relative risk ratios for moderate risk and high risk, both compared with low risk, in their ability to predict persisting disability at 3 months. Results In total, 142 patients were included in the analysis. At baseline, 74 patients (52.1%) were categorised as low risk, 64 (45.1%) as medium risk and 4 (2.8%) as high risk. For construct validity, nine of the eleven predefined hypotheses were confirmed. For test-retest reliability, kappa coefficients for the overall tool scores and prognostic subgroups were 0.71 and 0.65, respectively. For predictive validity, relative risk ratios for persisting disability were 2.19 (95% CI: 1.10–4.38) for the medium-risk group and 7.30 (95% CI: 4.11–12.98) for the high-risk group. Conclusion The Dutch STarT MSK tool showed a sufficient to good validity and reliability in patients with musculoskeletal pain in primary care physiotherapy. The sample size for high-risk patients was small (n = 4), which may limit the generalisability of findings for this group. An external validation study with a larger sample of high-risk patients (≥50) is recommended.
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Affiliation(s)
- Anke G. van den Broek
- Department of Rehabilitation, Physical Therapy Science and Sports, Rudolf Magnus Institute of Neurosciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Expertise Center Healthy Urban Living, Research Group Innovation of Human Movement Care, University of Applied Sciences Utrecht, Utrecht, The Netherlands
- Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, The Netherlands
- * E-mail:
| | - Corelien J. J. Kloek
- Expertise Center Healthy Urban Living, Research Group Innovation of Human Movement Care, University of Applied Sciences Utrecht, Utrecht, The Netherlands
- Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, The Netherlands
| | - Martijn F. Pisters
- Department of Rehabilitation, Physical Therapy Science and Sports, Rudolf Magnus Institute of Neurosciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, The Netherlands
- Research Group Empowering Healthy Behaviour, Fontys University of Applied Sciences, Eindhoven, The Netherlands
| | - Cindy Veenhof
- Department of Rehabilitation, Physical Therapy Science and Sports, Rudolf Magnus Institute of Neurosciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Expertise Center Healthy Urban Living, Research Group Innovation of Human Movement Care, University of Applied Sciences Utrecht, Utrecht, The Netherlands
- Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, The Netherlands
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Maestroni L, Read P, Bishop C, Papadopoulos K, Suchomel TJ, Comfort P, Turner A. The Benefits of Strength Training on Musculoskeletal System Health: Practical Applications for Interdisciplinary Care. Sports Med 2021; 50:1431-1450. [PMID: 32564299 DOI: 10.1007/s40279-020-01309-5] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Global health organizations have provided recommendations regarding exercise for the general population. Strength training has been included in several position statements due to its multi-systemic benefits. In this narrative review, we examine the available literature, first explaining how specific mechanical loading is converted into positive cellular responses. Secondly, benefits related to specific musculoskeletal tissues are discussed, with practical applications and training programmes clearly outlined for both common musculoskeletal disorders and primary prevention strategies.
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Affiliation(s)
- Luca Maestroni
- Smuoviti, Viale Giulio Cesare, 29, 24121, Bergamo, BG, Italy. .,StudioErre, Via della Badia, 18, 25127, Brescia, BS, Italy. .,London Sport Institute, School of Science and Technology, Middlesex University, Greenlands Lane, London, UK.
| | - Paul Read
- Athlete Health and Performance Research Center, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar.,School of Sport and Exercise, University of Gloucestershire, Gloucester, UK
| | - Chris Bishop
- London Sport Institute, School of Science and Technology, Middlesex University, Greenlands Lane, London, UK
| | - Konstantinos Papadopoulos
- London Sport Institute, School of Science and Technology, Middlesex University, Greenlands Lane, London, UK
| | - Timothy J Suchomel
- Department of Human Movement Sciences, Carroll University, Waukesha, WI, USA.,Directorate of Psychology and Sport, University of Salford, Frederick Road, Salford, Greater Manchester, UK
| | - Paul Comfort
- Directorate of Psychology and Sport, University of Salford, Frederick Road, Salford, Greater Manchester, UK.,Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.,Centre for Exercise and Sport Science Research, Edith Cowan University, Joondalup, Australia
| | - Anthony Turner
- London Sport Institute, School of Science and Technology, Middlesex University, Greenlands Lane, London, UK
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Wilson AT, Riley JL, Bishop MD, Beneciuk JM, Godza M, Cruz-Almeida Y, Bialosky JE. A psychophysical study comparing massage to conditioned pain modulation: A single blind randomized controlled trial in healthy participants. J Bodyw Mov Ther 2021; 27:426-435. [PMID: 34391267 DOI: 10.1016/j.jbmt.2021.02.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 01/10/2021] [Accepted: 02/28/2021] [Indexed: 01/25/2023]
Abstract
INTRODUCTION Pain-inducing massage results in greater pain inhibition than pain free massage, suggesting a mechanism dependent on conditioned pain modulation (CPM). The purpose of this study was to test the hypothesis that pain inducing massage produces similar magnitude of reduction in pain sensitivity as a cold pressor task and that baseline conditioned pain modulation efficiency predicts pain inducing massage related hypoalgesia. METHODS Sixty healthy participants were randomly assigned to receive either pain inducing massage to the neck, cold pressor task to the hand, or pain free massage to the neck. Participants also underwent pre and immediate post-intervention quantitative sensory testing. A repeated measures ANCOVA determined between group differences in pain sensitivity changes. RESULTS Pain inducing massage used as a conditioning stimulus resulted in comparable experimental pain sensitivity changes as a cold pressor task (p > 0.05). Pain intensity during the intervention demonstrated a weak correlation (r = 0.20, p = 0.12) with changes in pain sensitivity at a remote site. Individuals with an efficient CPM at baseline who received the pain inducing massage displayed greater increases in pressure pain threshold compared to individuals with a less efficient CPM indicating the potential benefit of treatment stratification by mechanism. CONCLUSION Although pain inducing massage resulted in less self-reported pain than a cold pressor task, both resulted in similar magnitude of the CPM response, suggesting shared underlying mechanisms. Understanding mechanisms of interventions can move us closer to mechanistic based treatments for pain which is consistent with a personalized medicine approach to care.
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Affiliation(s)
- Abigail T Wilson
- University of Florida, College of Public Health & Health Professions, Department of Physical Therapy, Box 100154, UFHSC, Gainesville, FL, 32610-0154, USA.
| | - Joseph L Riley
- University of Florida College of Dentistry, Interim Associate Dean of Faculty Affairs, Director, Pain Clinical Research Unit, Pain Research & Intervention Center of Excellence, UF CTSI, University of Florida, Health Center Office, D2-148, Gainesville, FL, 32610-0404, USA.
| | - Mark D Bishop
- University of Florida, College of Public Health & Health Professions, Department of Physical Therapy, Box 100154, UFHSC, Gainesville, FL, 32610-0154, USA.
| | - Jason M Beneciuk
- University of Florida, College of Public Health & Health Professions, Department of Physical Therapy, Box 100154, UFHSC, Gainesville, FL, 32610-0154, USA; College of Public Health and Health Professions (University of Florida) Research Collaboration, USA.
| | - Mutsa Godza
- University of Florida, College of Public Health & Health Professions, Department of Physical Therapy, Box 100154, UFHSC, Gainesville, FL, 32610-0154, USA.
| | - Yenisel Cruz-Almeida
- University of Florida Term Professor, Colleges of Dentistry and Medicine, Associate Director, UF Pain Research & Intervention Center of Excellence, UF CTSI. PO Box 103628, 1329 SW 16th Street, Ste 5180, Gainesville, FL, USA.
| | - Joel E Bialosky
- University of Florida, College of Public Health & Health Professions, Department of Physical Therapy, Box 100154, UFHSC, Gainesville, FL, 32610-0154, USA; College of Public Health and Health Professions (University of Florida) Research Collaboration, USA.
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Carlesso LC, Tousignant-Laflamme Y, Shaw W, Larivière C, Choinière M. Exploring pain phenotypes in workers with chronic low back pain: Application of IMMPACT recommendations. CANADIAN JOURNAL OF PAIN-REVUE CANADIENNE DE LA DOULEUR 2021; 5:43-55. [PMID: 33987523 PMCID: PMC7951157 DOI: 10.1080/24740527.2020.1870103] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background: Chronic low back pain (CLBP) is a major cause of disability globally. Stratified care has been proposed as a means to improve prognosis and treatment but is generally based on limited aspects of pain, including biopsychosocial drivers. Aims: Following Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) recommendations, the present study explored pain phenotypes with a sample of workers with CLBP, a population for which no pain phenotypes have been derived to date. Methods: A cross-sectional design was used with a sample of 154 workers with CLBP attending a rehabilitation clinic, recruited in person and from social media. Latent class analysis was used to identify subgroups of patients with different pain profiles based on ten pain indicators (pain variability, pain intensity, pain quality, somatization, sleep quality, depression, fatigue, pain catastrophizing, neuropathic pain, and central sensitization). Results: The majority of the sample (85%) were recruited through social media. Both the two-class and three-class solutions were found to be satisfactory in distinguishing phenotypes of workers with CLBP. Three variables proved particularly important in distinguishing between the pain phenotypes—pain quality, fatigue, and central sensitization—with higher scores on these indicators associated with pain phenotypes with higher pain burden. Increased chronic pain self-efficacy, work-related support, and perceived work abilities were protective risk factors for being in a higher pain burden class. Conclusions: The present study is the first to explore IMMPACT recommendations for pain phenotyping with workers with CLBP. Future prospective research will be needed to validate the proposed pain phenotypes.
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Affiliation(s)
- Lisa C Carlesso
- School of Rehabilitation Sciences, McMaster University, Hamilton, Ontario, Canada.,School of Rehabilitation, Université de Montréal, Montréal, Quebec, Canada
| | - Yannick Tousignant-Laflamme
- School of Rehabilitation, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada.,Clinical Research of the Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, Quebec, Canada
| | - William Shaw
- Division of Occupational and Environmental Medicine, Departments of Medicine and Public Health Sciences, University of Connecticut Health Center, Farmington, CT
| | - Christian Larivière
- Institut de recherche Robert-Sauvé en santé et en sécurité du travail (IRSST), Montreal, Quebec, Canada.,Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Institut universitaire sur la réadaptation en déficience physique de Montréal (IURDPM), Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Ile-de-Montréal (CCSMTL), Montreal, Quebec, Canada
| | - Manon Choinière
- Department of Anesthesiology and Pain Medicine, Université de Montréal, Montreal, Quebec, Canada.,Research Center of the Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada
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Macedo LG, Hodges PW, Bostick G, Hancock M, Laberge M, Hanna S, Spadoni G, Gross A, Schneider J. Which Exercise for Low Back Pain? (WELBack) trial predicting response to exercise treatments for patients with low back pain: a validation randomised controlled trial protocol. BMJ Open 2021; 11:e042792. [PMID: 33472786 PMCID: PMC7818834 DOI: 10.1136/bmjopen-2020-042792] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION Exercise therapy is the most recommended treatment for chronic low back pain (LBP). Effect sizes for exercises are usually small to moderate and could be due to the heterogeneity of people presenting with LBP. Thus, if patients could be better matched to exercise based on individual factors, then the effects of treatment could be greater. A recently published study provided evidence of better outcomes when patients are matched to the appropriate exercise type. The study demonstrated that a 15-item questionnaire, the Lumbar Spine Instability Questionnaire (LSIQ), could identify patients who responded best to one of the two exercise approaches for LBP (motor control and graded activity). The primary aim of the current study isill be to evaluate whether preidentified baseline characteristics, including the LSIQ, can modify the response to two of the most common exercise therapies for non-specific LBP. Secondary aims include an economic evaluations with a cost-effectiveness analysis. METHODS AND ANALYSIS Participants (n=414) will be recruited by primary care professionals and randomised (1:1) to receive motor control exercises or graded activity. Participants will undergo 12 sessions of exercise therapy over an 8-week period. The primary outcome will be physical function at 2 months using the Oswestry Disability Index. Secondary outcomes will be pain intensity, function and quality of life measured at 2, 6 and 12 months. Potential effect modifiers will be the LSIQ, self-efficacy, coping strategies, kinesiophobia and measures of nociceptive pain and central sensitisation. We will construct linear mixed models with terms for participants (fixed), treatment group, predictor (potential effect modifier), treatment group×predictor (potential effect modifier), physiotherapists, treatment group×physiotherapists and baseline score for the dependent variable. ETHICS AND DISSEMINATION This study received ethics approval from the Hamilton Integrate Research Ethics Board. Results will be submitted for publication in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT04283409.
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Affiliation(s)
- Luciana G Macedo
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
| | - Paul W Hodges
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Geoff Bostick
- Department of Physical Therapy, University of Alberta, Edmonton, Alberta, Canada
| | - Mark Hancock
- Department of Health Professions, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Maude Laberge
- Faculty of Administration, Universite Laval, Quebec, Quebec, Canada
| | - Steven Hanna
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
| | - Greg Spadoni
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
| | - Anita Gross
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
| | - Julia Schneider
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
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Karstens S, Lang S, Saunders B. Patients' Views on the Implementation Potential of a Stratified Treatment Approach for Low Back Pain in Germany: A Qualitative Study. Health Serv Insights 2020; 13:1178632920977894. [PMID: 33343197 PMCID: PMC7727085 DOI: 10.1177/1178632920977894] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 11/10/2020] [Indexed: 12/30/2022] Open
Abstract
Stratified care for low back pain (LBP) has been shown to be clinically- and cost-effective in the UK, but its transferability to the German healthcare system is unknown. This study explores LBP patients’ perspectives regarding future implementation of stratified care, through in-depth interviews (n = 12). The STarT-Back-Tool was completed by participants prior to interviews. Interview data were analysed using Grounded Theory. The overarching theme identified from the data was ‘treatment-success’, with subthemes of ‘assessment and treatment planning’, ‘acceptance of the questionnaire’ and ‘contextual factors’. Patients identified the underlying cause of pain as being of great importance (whereas STarT-Back allocates treatment based on prognosis). The integration of the STarT-Back-Tool in consultations was considered helpful as long as it does not disrupt the therapeutic relationship, and was acceptable if tool results are handled confidentially. Results indicate that for patients to find STarT-Back acceptable, the shift from a focus on identifying a cause of pain and subsequent diagnosis, to prediction-orientated treatment planning, must be made clear. Patient ‘buy in’ is important for successful uptake of clinical interventions, and findings can help to inform future strategies for implementing STarT-Back in the Germany, as well as having potential implications for transferability to other similar healthcare systems.
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Affiliation(s)
- Sven Karstens
- Department of Computer Science; Therapeutic Sciences, Trier University of Applied Sciences, Trier, Germany
| | - Sarah Lang
- MSc Sport Physiotherapy, German Sport University Cologne, Cologne, Germany
| | - Benjamin Saunders
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, UK
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Yadollahpour N, Zahednejad S, Yazdi MJS, Esfandiarpour F. Clustering of patients with chronic low back pain in terms of physical and psychological factors: A cross-sectional study based on the STarT Back Screening Tool. J Back Musculoskelet Rehabil 2020; 33:581-587. [PMID: 31658040 DOI: 10.3233/bmr-181484] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND The STarT Back Screening Tool (SBT) is a multidimensional questionnaire consisting of physical and psychological factors which categorizes the patients in the low, medium or high risk subgroups. OBJECTIVE To investigate the relationship between SBT-based subgrouping and clustering of patients with LBP using uni-dimensional psychological, clinical and physical examination measures. METHODS One hundred and fifty-seven patients with chronic LBP completed the SBT and uni-dimensional psychological, disability and pain questionnaires. Physical impairments were evaluated through the Physical Impairment Index (PII). Hierarchical and K-means methods were used for cluster analysis. Between-clusters differences and the association between the clusters and SBT-based subgrouping were investigated. RESULTS Three clusters were identified. The derived clusters were labeled severe, moderate and mild physical-psychological-distress clusters, because pain intensity, disability, psychological and physical factors were relatively high, moderate or low, respectively. Most of the patients in moderate and mild physical-psychological distress clusters were categorized as medium risk based on SBT. The mean difference for the PII was higher than that of psychological factors between moderate and mild physical-psychological-distress clusters. CONCLUSIONS Patients in low and high risk subgroups of SBT were sufficiently differentiated, but patients in a medium risk subgroup had a different profile based on PII. Including additional physical factors in the SBT may be required to better differentiate among patients.
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50
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Beneciuk JM, George SZ. Adding Physical Impairment to Risk Stratification Improved Outcome Prediction in Low Back Pain. Phys Ther 2020; 101:5911071. [PMID: 32970820 PMCID: PMC8179624 DOI: 10.1093/ptj/pzaa179] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 06/06/2020] [Accepted: 08/16/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Identifying subgroups of low back pain (LBP) has the potential to improve prediction of clinical outcomes. Risk stratification is one such strategy that identifies similar characteristics indicative of a common clinical outcome trajectory. The purpose of this study was to determine if an empirically derived subgrouping approach based on physical impairment measures improves information provided from the STarT Back Tool (SBT). METHODS At baseline in this secondary analysis of a cohort study, patients (N = 144) receiving physical therapy for LBP completed the SBT and tests (active lumbar flexion, extension, lateral bending, and passive straight-leg raise) from a validated physical impairment index. Clinical outcomes were assessed at 4 weeks and included the Numerical Pain Rating Scale and Oswestry Disability Index. Exploratory hierarchical agglomerative cluster analysis identified empirically derived subgroups based on physical impairment measures. Independent samples t testing and chi-square analysis were used to assess baseline subgroup differences in demographic and clinical measures. Spearman rho correlation coefficient was used to assess baseline SBT risk and impairment subgroup relationships, and a 3-way mixed-model ANOVA was used to assessed SBT risk and impairment subgroup relationships with clinical outcomes at 4 weeks. RESULTS Two physical impairment-based subgroups emerged from cluster analysis: (1) low-risk impairment (n = 119, 81.5%), characterized by greater lumbar mobility; and (2) high-risk impairment (n = 25, 17.1%), characterized by less lumbar mobility. A weak, positive relationship was observed between baseline SBT risk and impairment subgroups (rs = .170). An impairment-by-SBT risk-by-time interaction effect was observed for Oswestry Disability Index scores but not for Numerical Pain Rating Scale scores at 4 weeks. CONCLUSIONS Physical impairment subgroups were not redundant with SBT risk categories and could improve prediction of 4-week LBP disability outcomes. Physical impairment subgroups did not improve the prediction of 4-week pain intensity scores. IMPACT Subgroups based on physical impairment and psychosocial risk could lead to better prediction of LBP disability outcomes and eventually allow for treatment options tailored to physical and psychosocial risk.
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Affiliation(s)
- Jason M Beneciuk
- Department of Physical Therapy, University of Florida, Gainesville, Florida; and Brooks Rehabilitation Clinical Research Center, 3901 University Boulevard South, Suite 103, Jacksonville, FL 32216, USA,Address all correspondence to Dr Beneciuk at: . @JBeneciuk
| | - Steven Z George
- Department of Orthopaedic Surgery and Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
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