Refinement and validation of a tool for stratifying patients with musculoskeletal pain

Musculoskeletal Health and Work: Development and Internal-External Cross-Validation of a Model to Predict Risk of Work Absence and Presenteeism in People Seeking Primary Healthcare

PURPOSE

To develop and validate prediction models for the risk of future work absence and level of presenteeism, in adults seeking primary healthcare with musculoskeletal disorders (MSD).

METHODS

Six studies from the West-Midlands/Northwest regions of England, recruiting adults consulting primary care with MSD were included for model development and internal-external cross-validation (IECV). The primary outcome was any work absence within 6 months of their consultation. Secondary outcomes included 6-month presenteeism and 12-month work absence. Ten candidate predictors were included: age; sex; multisite pain; baseline pain score; pain duration; job type; anxiety/depression; comorbidities; absence in the previous 6 months; and baseline presenteeism.

RESULTS

For the 6-month absence model, 2179 participants (215 absences) were available across five studies. Calibration was promising, although varied across studies, with a pooled calibration slope of 0.93 (95% CI: 0.41-1.46) on IECV. On average, the model discriminated well between those with work absence within 6 months, and those without (IECV-pooled C-statistic 0.76, 95% CI: 0.66-0.86). The 6-month presenteeism model, while well calibrated on average, showed some individual-level variation in predictive accuracy, and the 12-month absence model was poorly calibrated due to the small available size for model development.

CONCLUSIONS

The developed models predict 6-month work absence and presenteeism with reasonable accuracy, on average, in adults consulting with MSD. The model to predict 12-month absence was poorly calibrated and is not yet ready for use in practice. This information may support shared decision-making and targeting occupational health interventions at those with a higher risk of absence or presenteeism in the 6 months following consultation. Further external validation is needed before the models' use can be recommended or their impact on patients can be fully assessed.

Validation of the Keele STarT MSK Tool for Patients With Musculoskeletal Pain in United States-based Outpatient Physical Therapy Settings

The STarT MSK tool was developed to enable risk stratification of patients with common musculoskeletal (MSK) pain conditions and help identify individuals who may require more targeted interventions or closer monitoring in primary care settings, however, its validity in U.S.-based outpatient physical therapy settings has not been investigated. The 10-item Keele STarT MSK risk stratification tool was tested for construct (convergent and discriminant) and predictive validity using a multicenter, prospective cohort study design. Participants (n = 141) receiving physical therapy for MSK pain of the back, neck, shoulder, hip, knee, or multisite regions completed intake questionnaires including the Keele STarT MSK tool, Functional Comorbidity Index (FCI), Optimal Screening for Prediction of Referral and Outcome Review-of-Systems and Optimal Screening for Prediction of Referral and Outcome Yellow Flag tools. Pain intensity, pain interference, and health-related quality of life (Medical Outcomes Study 8-item Short-Form Health Survey (SF-8) physical [PCS] and mental [MCS] component summary scores) were measured at 2- and 6-month follow-up. Participants were classified as STarT MSK tool low (44%), medium (39%), and high (17%) risk. Follow-up rates were 70.2% (2 months) and 49.6% (6 months). For convergent validity, fair relationships were observed between the STarT MSK tool and FCI and SF-8 MCS (r = .35-.37) while moderate-to-good relationships (r = .51-.72) were observed for 7 other clinical measures. For discriminant validity, STarT MSK tool risk-dependent relationships were observed for Optimal Screening for Prediction of Referral and Outcome Review-of-Systems, Optimal Screening for Prediction of Referral and Outcome Yellow Flag, pain interference, and SF-8 PCS (low < medium < high; P < .01) and FCI, pain intensity, and SF-8 MCS (low < medium-or-high; P < .01). For predictive validity, intake STarT MSK tool scores explained additional variability in pain intensity (11.2%, 20.0%), pain interference (7.5%, 14.1%), and SF-8 PCS (8.2%, 12.8%) scores at 2 and 6 months, respectively. This study contributes to the existing literature by providing additional evidence of STarT MSK tool cross-sectional construct validity and longitudinal predictive validity. PERSPECTIVE: This study presents STarT MSK risk stratification tool validity findings from a U.S. outpatient physical therapy sample. The STarT MSK tool has the potential to help physical therapists identify individuals presenting with the most common MSK pain conditions who may require more targeted interventions or closer monitoring.

Concordance between two models of stratification for patients living with HIV infection to providing pharmaceutical care

OBJECTIVE

To determine the degree of agreement of two differents stratification models for pharmaceutical care to people living with HIV.

METHODS

This was a single-centre observational prospective cohort study of patients with regular follow-up in pharmaceutical care consultations according to the Capacity-Motivation-Opportunity methodology, conducted between January 1st and March 31th, 2023. Patients received the pharmacotherapeutic interventions applied routinely to ambulatory care patients according to this model. As part of the usual clinical practice, the presence or absence of the variables that apply to both stratification models were collected. The scores obtained and the corresponding stratification level were collected for each patient according to both stratification models published (ST-2017 and ST-2022). To analyze the reliability between the measurements of two numerical score models of the stratification level with both tools, their degree of concordance was calculated using the intraclass correlation coefficient. Likewise, reliability was also evaluated from a qualitative perspective by means of Cohen's Kappa coefficient. Additionally, the existence of correlation between the scores of the two models was assessed by calculating Pearson's correlation coefficient.

RESULTS

Of the total of 758 patients being followed in the cohort, finally, 233 patients were enrolled. The distribution of patients for each stratification model was: ST-2017: 59.7% level-3, 25.3% level-2 and 15.0% level-1, while for ST-2022: 60.9% level-3, 26.6% level-2 and 12.4% level-1. It was observed that the reclassification was symmetrical (p=0.317). The qualitative analysis of the agreement between the models showed a good Cohen's kappa value, (K=0.66). A value of 0.563 was found as the intraclass correlation coefficient. Finally, the correlation analysis between the quantitative scores of the two models yielded a Pearson correlation coefficient of 0.86.

CONCLUSIONS

The concordance between the two models was good, which confirms that the multidimensional adaptation and simplification of the model were correct and that its use can be extended in routine clinical practice.

Does the Keele STarT MSK tool predict the risk of poor outcome in non-specific shoulder complaints in primary care in a Dutch population?

OBJECTIVES

The Keele STarT MSK tool is a questionnaire to identify the prognostic factors for musculoskeletal conditions, such as shoulder complaints, developed by Keele University, UK. This study assessed whether the Keele STarT MSK tool can predict the risk of poor outcome in non-specific shoulder complaints in a Dutch population.

DESIGN

Multicentre prospective cohort study.

SETTING

Fourteen primary care physiotherapy clinics in the Netherlands participated in this study.

PARTICIPANTS

In total, 180 patients with non-specific shoulder complaints with complete data from the Keele STarT MSK tool (baseline), Short-Form 12 Health Survey (SF-12), Shoulder Pain and Disability Index (SPADI), Numeric Pain Rating Score (NPRS) and Global Perceived Effect (GPE) scale at week 6, week 12 or endpoint were included. Data were collected from January 2019 to January 2020. Of these, 180 patients were eligible for the study. Of these, 139 completed the study and were included in the analysis.

MAIN OUTCOME MEASURES

Poor outcome was defined as: SF-12 score ≤33 (physical health), SPADI score ≥30% (disability in activity), NPRS score ≥3 (pain intensity) and GPE scale score ≥3 (patient-reported recovery).

RESULTS

The area under the receiver operating characteristic curves for prediction of outcome were excellent for the SF-12, acceptable for the SPADI and NPRS, and showed no discrimination for the GPE scale. The optimal cut-off value for the Keele STarT MSK score to discriminate between low and medium/high risk groups was ≥5.

CONCLUSIONS

The Keele STarT MSK tool is able to predict the risk of poor outcome in patients with non-specific shoulder complaints in primary care physiotherapy clinics. Further research is needed to establish whether stratified care (subgrouping and targeted treatment) is more efficient. CONTRIBUTION OF PAPER.

Decision Support for Managing Common Musculoskeletal Pain Disorders: Development of a Case-Based Reasoning Application

BACKGROUND

Common interventions for musculoskeletal pain disorders either lack evidence to support their use or have small to modest or short-term effects. Given the heterogeneity of patients with musculoskeletal pain disorders, treatment guidelines and systematic reviews have limited transferability to clinical practice. A problem-solving method in artificial intelligence, case-based reasoning (CBR), where new problems are solved based on experiences from past similar problems, might offer guidance in such situations.

OBJECTIVE

This study aims to use CBR to build a decision support system for patients with musculoskeletal pain disorders seeking physiotherapy care. This study describes the development of the CBR system SupportPrim PT and demonstrates its ability to identify similar patients.

METHODS

Data from physiotherapy patients in primary care in Norway were collected to build a case base for SupportPrim PT. We used the local-global principle in CBR to identify similar patients. The global similarity measures are attributes used to identify similar patients and consisted of prognostic attributes. They were weighted in terms of prognostic importance and choice of treatment, where the weighting represents the relevance of the different attributes. For the local similarity measures, the degree of similarity within each attribute was based on minimal clinically important differences and expert knowledge. The SupportPrim PT's ability to identify similar patients was assessed by comparing the similarity scores of all patients in the case base with the scores on an established screening tool (the short form Örebro Musculoskeletal Pain Screening Questionnaire [ÖMSPQ]) and an outcome measure (the Musculoskeletal Health Questionnaire [MSK-HQ]) used in musculoskeletal pain. We also assessed the same in a more extensive case base.

RESULTS

The original case base contained 105 patients with musculoskeletal pain (mean age 46, SD 15 years; 77/105, 73.3% women). The SupportPrim PT consisted of 29 weighted attributes with local similarities. When comparing the similarity scores for all patients in the case base, one at a time, with the ÖMSPQ and MSK-HQ, the most similar patients had a mean absolute difference from the query patient of 9.3 (95% CI 8.0-10.6) points on the ÖMSPQ and a mean absolute difference of 5.6 (95% CI 4.6-6.6) points on the MSK-HQ. For both ÖMSPQ and MSK-HQ, the absolute score difference increased as the rank of most similar patients decreased. Patients retrieved from a more extensive case base (N=486) had a higher mean similarity score and were slightly more similar to the query patients in ÖMSPQ and MSK-HQ compared with the original smaller case base.

CONCLUSIONS

This study describes the development of a CBR system, SupportPrim PT, for musculoskeletal pain in primary care. The SupportPrim PT identified similar patients according to an established screening tool and an outcome measure for patients with musculoskeletal pain.

Treatment Effect Modifiers for Return-to-Work in Patients With Musculoskeletal Disorders

Investigating how individual characteristics modify treatment effects can improve understanding, interpretation, and translation of trial findings. The purpose of this secondary analysis was to identify treatment effect modifiers of the MI-NAV trial, a 3 arm, parallel randomized controlled trial which compared motivational interviewing and stratified vocational advice intervention in addition to usual case management (UC), to UC alone. This study included (n = 514) participants with musculoskeletal disorders on sick leave for at least 50% of their contracted work hours for at least 7 consecutive weeks with the Norwegian Labour and Welfare Administration. Sickness absence days was the primary outcome, measured from baseline assessment date until the 6-month follow-up. Potential treatment effect modifiers, identified a priori and informed by expert consultation and literature, were evaluated using linear regression models and statistical interaction tests. For motivational interviewing versus UC, age (mean difference [MD] -.7, 95% confidence interval [CI] -1.5 to .2; P = .13) and self-perceived health status (MD -.3, 95% CI -.7 to .1; P = .19) were identified as potential effect modifiers (P ≤ .2). For stratified vocational advice intervention versus UC, analgesic medication use (MD -26.2, 95% CI -45.7 to -6.7; P = .009) was identified as a treatment effect modifier (P ≤ .05). These findings may assist in more targeted treatment adaptation and translation as well as the planning of future clinical trials. PERSPECTIVE: This secondary analysis of the MI-NAV trial found that analgesic medication use, age, and self-perceived health may modify the effect of 2 vocational interventions on reducing sickness absence in people with musculoskeletal disorders.

Concordance between two models of stratification for patients living with HIV infection to providing pharmaceutical care

OBJECTIVE

To determine the degree of agreement of 2 differents stratification models for pharmaceutical care to people living with HIV.

METHODS

This was a single-center observational prospective cohort study of patients with regular follow-up in pharmaceutical care consultations according to the Capacity-Motivation-Opportunity methodology, conducted between January 1 and March 31, 2023. Patients received the pharmacotherapeutic interventions applied routinely to ambulatory care patients according to this model. As part of the usual clinical practice, the presence or absence of the variables that apply to both stratification models were collected. The scores obtained and the corresponding stratification level were collected for each patient according to both stratification models published (ST-2017 and ST-2022). To analyze the reliability between the measurements of 2 numerical score models of the stratification level with both tools, their degree of concordance was calculated using the intraclass correlation coefficient. Likewise, reliability was also evaluated from a qualitative perspective by means of Cohen's Kappa coefficient. Additionally, the existence of correlation between the scores of the 2 models was assessed by calculating Pearson's correlation coefficient.

RESULTS

Of the total of 758 patients being followed in the cohort, finally, 233 patients were enrolled. The distribution of patients for each stratification model was: ST-2017: 59.7% level-3, 25.3% level-2, and 15.0% level-1, while for ST-2022: 60.9% level-3, 26.6% level-2, and 12.4% level-1. It was observed that the reclassification was symmetrical (P=.317). The qualitative analysis of the agreement between the models showed a good Cohen's kappa value, (K=0.66). A value of 0.563 was found as the intraclass correlation coefficient. Finally, the correlation analysis between the quantitative scores of the 2 models yielded a Pearson correlation coefficient of 0.86.

CONCLUSIONS

The concordance between the 2 models was good, which confirms that the multidimensional adaptation and simplification of the model were correct and that its use can be extended in routine clinical practice.

Validity and reliability of the Persian version of the STarT musculoskeletal tool

BACKGROUND

The Subgrouping for Targeted Treatment (STarT) musculoskeletal (MSK) tool stratifies patients with MSK disorders (MSDs) into prognostic categories based on poor outcomes.

PURPOSE

This study aimed at investigating the validity and reliability of the Persian STarT MSK tool in people suffering from painful MSDs in Iran.

METHODS

A total of 593 subjects with painful MSDs including neck, shoulder, low back, knee, and multisite pain received and completed the STarT MSK tool, visual analog scale (VAS), EuroQol five-dimensions three-levels questionnaire (EQ-5D-3 L), short form-36 health survey questionnaire (SF-36), and Örebro musculoskeletal pain screening questionnaire (ÖMPSQ) in the first visit. To examine test-retest reliability, 234 patients completed the STarT MSK tool 2 days after the initial visit.

RESULTS

In this study, 139 (23.5%), 266 (44.9%), and 188 (31.7%) participants were classified as low-, medium-, and high-risk groupings for poor outcomes, respectively. Spearman's correlation coefficient showed a strong relationship among Persian STarT MSK tool and EQ-5D-3 L (-0.78), SF-36 (-0.76), and OMPSQ (0.70). The results of known-group validity indicated that this tool could distinguish among the participants in different risk subgroups based on the scores of the ÖMPSQ, VAS, SF36, and EQ-5D-5 L (p < .001). No ceiling and floor effects were observed. Cronbach's alpha and intra-class correlation coefficient (ICC2,1) were acceptable (0.71) and excellent (0.98), respectively.

CONCLUSION

The Persian version of STarT MSK tool has shown to be a valid and reliable instrument to stratify people with painful MSDs into low-, medium-, and high-risk subgroups based on persistent pain disability.

Development, refinement, and validation of an equine musculoskeletal pain scale

Musculoskeletal disease is a common cause of chronic pain that is often overlooked and inadequately treated, impacting the quality of life of humans and horses alike. Lameness due to musculoskeletal pain is prevalent in horses, but the perception of pain by owners is low compared with veterinary diagnosis. Therefore, this study aims to establish and validate a pain scale for chronic equine orthopaedic pain that is user-friendly for horse owners and veterinarians to facilitate the identification and monitoring of pain in horses. The newly developed musculoskeletal pain scale (MPS) was applied to 154 horses (mean age 20 ± 6.4 years SD) housed at an equine sanctuary, of which 128 (83%) suffered from chronic orthopaedic disease. To complete the MPS, the horses were observed and videotaped from a distance while at rest in their box or enclosure. In addition, they received a complete clinical and orthopaedic exam. The need for veterinary intervention to address pain (assessed and executed by the sanctuary independent from this study) was used as a longitudinal health outcome to determine the MPS's predictive validity. To determine the interrater agreement, the MPS was scored for a randomly selected subset of 30 horses by six additional blinded raters, three equine veterinary practitioners, and three experienced equestrians. An iterative process was used to refine the tool based on improvements in the MPS's correlation with lameness evaluated at the walk and trot, predictive validity for longitudinal health outcomes, and interrater agreement. The intraclass correlation improved from 0.77 of the original MPS to 0.88 of the refined version (95% confidence interval: 0.8-0.94). The refined MPS correlated significantly with lameness at the walk (r = 0.44, p = 0.001) and trot (r = 0.5, p < 0.0001). The refined MPS significantly differed between horses that needed veterinary intervention (mean MPS = 8.6) and those that did not (mean MPS = 5.0, p = 0.0007). In summary, the MPS showed good interrater repeatability between expert and lay scorers, significant correlation with lameness at the walk and trot, and good predictive validity for longitudinal health outcomes, confirming its ability to identify horses with orthopaedic health problems.

Establishing the prognostic profile of patients with work-related musculoskeletal disorders: Development and acceptability of the MAPS questionnaire

PURPOSE

Work-related musculoskeletal disorders (WRMD) are the most common causes of disability worldwide and are associated with significant use of healthcare. One way to optimize the clinical outcomes of injured workers receiving rehabilitation is to identify and address individual prognostic factors (PF), which can facilitate the personalization of the treatment plan. As there is no pragmatic and systematic method to collect prognostic-related data, the purpose of the study was to develop and assess the acceptability of a set of questionnaires to establish the "prognostic profile" of workers with WRMD.

METHODS

We utilized a multistep process to inform the acceptability of the Measures Associated to PrognoStic (MAPS) questionnaire. During STEP-1, a preliminary version of the was developed through a literature search followed by an expert consensus including a patient-advisor. During STEP-2, future users (rehabilitation professionals, healthcare administrators and compensation officers) were consulted through an online survey and were asked to rate the relevance of each content item; items that obtained ≥80% of "totally agree" answers were included. They were also asked to prioritize PF according to their usefulness for clinical decision-making, as well as perceived efficacy to enhance the treatment plan.

RESULTS

The questionnaire was developed with three categories: the outcome predicted, the unique PF, and prognostic tools. Personal PF (i.e.: coping strategies, fear-avoidance beliefs), pain related PF (i.e.: pain intensity/severity, duration of pain), and work-related PF (i.e.: work physical demands, work accommodations) were identified to be totally relevant and included in the questionnaire. 84% of the respondents agreed that their patients could complete the MAPS questionnaire in their clinical setting, while 75% totally agreed that the questionnaire is useful to personalize rehabilitation interventions.

CONCLUSION

The MAPS questionnaire was deemed acceptable to establish the "prognostic profile" of injured workers and help the clinicians in the treatment decision-making process.

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders - the SupportPrim project

BACKGROUND

We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MSK) pain disorders in primary care. The CDSS finds the most similar successful patients from the past to give treatment recommendations for a new patient. Using previous similar patients with successful outcomes to advise treatment moves management of MSK pain patients from one-size fits all recommendations to more individually tailored treatment. This study aimed to summarise the development and explore the acceptance and use of the CDSS for MSK pain patients.

METHODS

This qualitative study was carried out in the Norwegian physiotherapy primary healthcare sector between October and November 2020, ahead of a randomised controlled trial. We included four physiotherapists and three of their patients, in total 12 patients, with musculoskeletal pain in the neck, shoulder, back, hip, knee or complex pain. We conducted semi-structured telephone interviews with all participants. The interviews were analysed using the Framework Method.

RESULTS

Overall, both the physiotherapists and patients found the system acceptable and usable. Important findings from the analysis of the interviews were that the CDSS was valued as a preparatory and exploratory tool, facilitating the therapeutic relationship. However, the physiotherapists used the system mainly to support their previous and current practice rather than involving patients to a greater extent in decisions and learning from previous successful patients.

CONCLUSIONS

The CDSS was acceptable and usable to both the patients and physiotherapists. However, the system appeared not to considerably influence the physiotherapists' clinical reasoning and choice of treatment based on information from most similar successful patients. This could be due to a smaller than optimal number of previous patients in the CDSS or insufficient clinical implementation. Extensive training of physiotherapists should not be underestimated to build understanding and trust in CDSSs.

Predicting persisting disability in musculoskeletal pain patients with the STarT MSK screening tool: Results from a prospective cohort study

BACKGROUND

The STarT MSK screening tool aims to categorise musculoskeletal patients into three risk groups for treatment stratification. The tool has been translated and validated into Hebrew. However, its ability to predict persistent disability in patients has yet to be evaluated.

OBJECTIVE

The primary aim of this study was to assess the ability of the Hebrew version of the STarT MSK tool to predict persistent disability in patients experiencing musculoskeletal pain.

METHODS

A prospective observational cohort study was conducted, recruiting 135 patients with musculoskeletal pain in five common areas: back, neck, shoulder, knee, or multisite pain over the age of 21. At the first consultation, all patients completed demographic information, the Focus On Therapeutic Outcomes (FOTO) questionnaire (function, pain, and fear avoidance score), and the STarT MSK questionnaire. The patients completed the FOTO questionnaire again at the end of the physiotherapy treatments.

RESULTS

25 patients (18.5%) were classified into the low-risk group, 68 patients (50.3%) into the medium-risk group, and 42 (31.1%) into the high-risk group. The baseline STarT MSK tool score demonstrated an excellent ability to identify patients at high risk of developing persistent disability (AUC = 0.795, 95% CI 0.716-0.873).

CONCLUSIONS

The Hebrew version of the STarT MSK tool can differentiate between three chronic risk groups and has high predictive validity for chronicity. This may provide a tool to assist clinicians in identifying patients who require more intensive care, and thus, potentially prevent the transition to chronic disabling pain.

Recommended approaches to assessing and managing physiotherapy clients experiencing psychological distress: a systematic mapping review

BACKGROUND

Some physiotherapists find assessing and managing clients experiencing psychological distress challenging and are uncertain regarding the boundaries of the profession's scope.

OBJECTIVE

To map the approaches recommended for physiotherapists in scholarly literature, with respect to the assessment and management of clients experiencing psychological distress.

METHODS

A systematic mapping review was conducted. CINAHL, APA PsycINFO, Embase, and Medline ALL databases were systematically searched for secondary and tertiary literature relevant to the research objective. Recommended approaches were extracted from each article and analyzed descriptively and thematically.

RESULTS

3884 records were identified with 40 articles meeting the inclusion/exclusion criteria. Most recommendations related to identifying, assessing, and managing pain-related distress, with depression screening and referral also receiving some attention. Three approaches to detecting and assessing psychological distress were identified: 1) brief depression screen; 2) integrated suicide/nonsuicidal self-harm and depression screen; and 3) multidimensional screen and health-related distress assessment. Regarding the management of psychological distress the main approaches identified were: 1) education and reassurance; 2) cognitive-behavioral approaches; 3) mindfulness; and 4) case management.

CONCLUSION

While assessment and management of health-related distress by physiotherapists is commonly recommended, further guidance is needed to differentiate various forms of distress.

Six-month cost-effectiveness of adding motivational interviewing or a stratified vocational advice intervention to usual case management for workers with musculoskeletal disorders: the MI-NAV economic evaluation

OBJECTIVES

This study evaluates the six-month cost-effectiveness and cost-benefits of motivational interviewing (MI) or a stratified vocational advice intervention (SVAI) added to usual case management (UC) for workers on sick leave due to musculoskeletal disorders.

METHODS

This study was conducted alongside a three-arm RCT including 514 employed workers on sick leave for at least 50% for ≥ 7 weeks. All participants received UC. The UC + MI group received two MI sessions, and the UC + SVAI group received 1-4 SVAI sessions. Sickness absence days, quality-adjusted life-years (QALYs), and societal costs were measured between baseline and six months.

RESULTS

Adding MI to UC, resulted in incremental cost-reduction of -2580EUR (95%CI -5687;612), and a reduction in QALYs of -0.001 (95%CI -0.02;0.01). Secondly, adding MI to UC resulted in an incremental cost-reduction of -538EUR (95%CI -1358;352), and reduction of 5.08 (95%CI -3.3;13.5) sickness-absence days. Financial return estimates were positive, but not statistically significant. Adding SVAI to UC, resulted in an incremental cost-reduction of -2899 EUR (95% CI -5840;18), and a reduction in QALYs of 0.002 (95% CI -0.02;0.01). Secondly, adding SVAI to UC resulted in an statistically significant incremental cost-reduction of -695 EUR (95% CI -1459;-3), and a reduction of 7.9 (95% CI -0.04;15.9) sickness absence days. Financial return estimates were positive and statistically significant. The probabilities of cost-effectiveness for QALYs were high for adding MI or SVAI (ceiling ratio 0.90).

CONCLUSIONS

In comparison to UC only, adding MI to UC tends to be cost-effective. Adding SVAI to UC is cost-effective for workers on sick leave due to musculoskeletal disorders.

TRIAL REGISTRATION

ClinicalTrials.gov (identifier: NCT03871712).

Development and External Validation of Individualized Prediction Models for Pain Intensity Outcomes in Patients With Neck Pain, Low Back Pain, or Both in Primary Care Settings

OBJECTIVE

The purpose of this study was to develop and externally validate multivariable prediction models for future pain intensity outcomes to inform targeted interventions for patients with neck or low back pain in primary care settings.

METHODS

Model development data were obtained from a group of 679 adults with neck or low back pain who consulted a participating United Kingdom general practice. Predictors included self-report items regarding pain severity and impact from the STarT MSK Tool. Pain intensity at 2 and 6 months was modeled separately for continuous and dichotomized outcomes using linear and logistic regression, respectively. External validation of all models was conducted in a separate group of 586 patients recruited from a similar population with patients' predictor information collected both at point of consultation and 2 to 4 weeks later using self-report questionnaires. Calibration and discrimination of the models were assessed separately using STarT MSK Tool data from both time points to assess differences in predictive performance.

RESULTS

Pain intensity and patients reporting their condition would last a long time contributed most to predictions of future pain intensity conditional on other variables. On external validation, models were reasonably well calibrated on average when using tool measurements taken 2 to 4 weeks after consultation (calibration slope = 0.848 [95% CI = 0.767 to 0.928] for 2-month pain intensity score), but performance was poor using point-of-consultation tool data (calibration slope for 2-month pain intensity score of 0.650 [95% CI = 0.549 to 0.750]).

CONCLUSION

Model predictive accuracy was good when predictors were measured 2 to 4 weeks after primary care consultation, but poor when measured at the point of consultation. Future research will explore whether additional, nonmodifiable predictors improve point-of-consultation predictive performance.

IMPACT

External validation demonstrated that these individualized prediction models were not sufficiently accurate to recommend their use in clinical practice. Further research is required to improve performance through inclusion of additional nonmodifiable risk factors.

Anatomic characteristics of shoulder based on MRI accurately predict incomplete rotator cuff injuries in patients: relevance for predictive, preventive, and personalized healthcare strategies

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.

The Swedish version of the STarT MSK Tool: cross-cultural adaption, test-retest reliability, and aspects of validity

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.

Identification and Characterisation of Trajectories of Sickness Absence Due to Musculoskeletal Pain: A 1-Year Population-based Study

Purpose This study aimed to identify trajectories of sickness absence in workers on sick leave due to musculoskeletal disorders and explore the association between these trajectories and established prognostic factors for sickness absence. Methods We conducted a prospective cohort study of 549 workers (56% women, aged 18-67 years) on sick leave due to musculoskeletal disorders in Norway in 2018-2019. Sickness absence data were collected from the Norwegian sick leave registry and prognostic factors via self-reported baseline questionnaires. We used group-based trajectory modelling to define the different trajectories of sickness absence spanning a 1-year period. Multivariable multinomial logistic regression was used to estimate odds ratios and 95% confidence intervals for prognostic factors associated with the identified trajectory groups. Results We identified six distinct trajectories of sickness absence over 1 year: 'fast decrease' (27% of the cohort): 'moderate decrease' (22%); 'slow decrease' (12%); 'u-shape' (7%); 'persistent moderate' (13%); and 'persistent high' (18%). Prognostic factors, such as previous sickness absence days, return-to-work expectancy, workability, multisite pain, and health scores, differentiated between the sickness absence trajectories (all P < 0.05). Negative return-to-work expectancy was associated with the three trajectory groups with the highest number of sickness absence days ('slow decrease', 'persistent moderate', and 'persistent high'). Conclusions This is the first study to explore the association of return-to-work expectancy with trajectories of sickness absence. Our findings highlight different patterns of sickness absence and the complex range of prognostic factors. These findings have implications for secondary and tertiary prevention strategies for work absence in workers with musculoskeletal disorders.

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

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.

Implementation of an online pain science education for chronic musculoskeletal pain in Brazilian public health system: protocol for a hybrid type III randomised controlled trial with economic evaluation

BACKGROUND

Although clinical practice guidelines recommend pain education as the first-line option for the management of chronic musculoskeletal pain, there is a lack of pain education programmes in healthcare. Thus, digital health programmes can be an effective tool for implementing pain education strategies for public health. This trial will aim to analyse the implementation and effectiveness outcomes of three online pain science education strategies in the Brazilian public health system (SUS) for individuals with chronic musculoskeletal pain.

METHODS

We will conduct a hybrid type III effectiveness-implementation randomised controlled trial with economic evaluation. We will include adult individuals with chronic musculoskeletal pain, recruited from primary healthcare in the city of Guarapuava, Brazil. Individuals will be randomised to three implementation groups receiving a pain science education intervention (EducaDor) but delivered in different modalities: group 1) synchronous online; group 2) asynchronous videos; and group 3) interactive e-book only. Implementation outcomes will include acceptability, appropriateness, feasibility, adoption, fidelity, penetration, sustainability, and costs. We will also assess effectiveness outcomes, such as pain, function, quality of life, sleep, self-efficacy, and adverse effects. Cost-effectiveness and cost-utility analyses will be conducted from the SUS and societal perspectives. The evaluations will be done at baseline, post-intervention (10 weeks), and 6 months.

DISCUSSION

This study will develop and implement a collaborative intervention model involving primary healthcare professionals, secondary-level healthcare providers, and patients to enhance self-management of chronic pain. In addition to promoting better pain management, this study will also contribute to the field of implementation science in public health by generating important insights and recommendations for future interventions.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT05302180; 03/29/2022).

Biological and psychological early prognostic factors in complex regional pain syndrome: A systematic review

BACKGROUND AND OBJECTIVE

Several risk factors for the onset of CRPS have been found, but evidence for prognostic factors associated with the progression of this condition remains sparse. However, the detection and management of these factors are necessary to design secondary prevention strategies. The objective of this systematic review was to identify prognostic factors in adult individuals with early CRPS.

DATABASE AND DATA TREATMENT

PubMed, Embase, PsycINFO, Cochrane Library and Scopus, were published between January 1990 and November 2021. Two independent investigators selected cross-sectional and longitudinal studies looking at early (<12 weeks from onset) prognostic factors for pain, CRPS severity score, disability, return to work, or quality of life. The quality in prognostic studies (QUIPS) tool was used to assess the risk of bias. A qualitative meta-synthesis was performed.

RESULTS

Out of 4652 different articles, six studies met the inclusion criteria. We identified 21 early factors associated with a poorer prognosis in type I CRPS. We found moderate evidence to support six of them: higher pain intensity, self-rated disability, anxiety, pain-related fear, being a female and high-energy triggering event. Only two studies had an overall low risk of bias.

CONCLUSIONS

This study showed an important lack of information on early prognostic factors in CRPS. Only one article investigated the link with psychological characteristics. There is a crucial need for larger studies, with a well-defined population using validated measures.

SIGNIFICANCE

This systematic review highlights the lack of knowledge about early prognostic factors in CRPS. A few putative prognostic factors were identified. Most of the moderate evidence is related to a single cohort. Future research is required to find out which patients are vulnerable to chronification.

Accumulation of long-term diseases is associated with musculoskeletal pain dimensions among middle-aged individuals with musculoskeletal pain

BACKGROUND

Long-term diseases often co-occur with musculoskeletal (MSK) pain. In middle-aged individuals with MSK pain, it remains unclear whether an accumulation (two or more) of long-term diseases is associated with MSK pain dimensions, including pain frequency, bothersomeness of pain, pain intensity and number of pain sites.

METHODS

This cross-sectional study included data from the Northern Finland Birth Cohort 1966 collected in 2012-2014 when the participants were 46 years of age. We included participants who reported having MSK pain during the previous year (collected retrospectively) and provided self-reported information related to MSK pain dimensions, long-term diseases and potential confounders (n = 4469). The association between long-term diseases and pain dimensions was modelled by general linear and logistic regression models, with beta (β) coefficients, odds ratios (ORs) and their 95% confidence intervals (CIs) being presented. Unadjusted models were followed by models adjusted for sex, educational level and smoking.

RESULTS

The presence of accumulated long-term diseases was associated with over two-fold higher odds of daily pain (adjusted OR 2.6, 95% CI 2.0-3.4) and significantly higher levels of bothersomeness of pain and pain intensity (adjusted β 1.1, 95% CI 0.9-1.4; adjusted β 1.0, 95% CI 0.8-1.1, respectively), relative to the absence of long-term diseases. Females with accumulated long-term diseases had a stronger relationship to number of pain sites than males. Associations between one long-term disease and pain dimensions were significant but smaller in magnitude.

CONCLUSION

There is a need for a better understanding of the relationships between accumulated long-term diseases and MSK pain.

SIGNIFICANCE

This study on middle-aged individuals with musculoskeletal pain showed that the presence of long-term diseases was clearly associated with pain frequency, bothersomeness of pain, pain intensity and number of pain sites. Compared with no long-term diseases, the association between accumulated (two or more) long-term diseases and pain dimensions was stronger than the association between one long-term disease and pain dimensions.

Risk-based stratified primary care for common musculoskeletal pain presentations: qualitative findings from the STarT MSK cluster randomised controlled trial

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).

Eveningness is associated with persistent multisite musculoskeletal pain: a 15-year follow-up study of Northern Finns

Chronotype, a phenotype representing a person's 24-hour circadian rhythm, has been increasingly acknowledged as playing a role in musculoskeletal (MSK) pain. Most prior research on chronotype and MSK pain have been based on cross-sectional data, and no study has explored multisite MSK pain (two or more pain locations) as the outcome. We drew the study sample from the 31- and 46-year data collections (baseline and follow-up, respectively) of the Northern Finland Birth Cohort 1966 and collected self-reported data on chronotype at follow-up (morning [M]-type, intermediate [I]-type, and evening [E]-type) and longitudinal multisite MSK pain trajectories (n=3,294). Multinomial logistic regression was used to estimate odds ratios (ORs) with 95% confidence intervals (CIs) in multisite MSK pain trajectories between the chronotypes. We conducted additional sensitivity analyses that 1) accounted for several confounders, and 2) examined the potential moderating role of sex, mental distress, and sleep disturbance status in the chronotype-multisite MSK pain associations. The E-types had two-and-a-half-times higher odds of multisite MSK pain at baseline and follow-up (OR 2.47, 95% CI 1.84-3.32) than the M-types. Having severe mental distress or poor sleep at baseline and follow-up, or sex did not change the strength of this association. Our examination of this longitudinal birth cohort study suggested that evening types, in comparison to morning types, are more likely to experience multisite MSK pain between ages 31 and 46 years. Chronotype should be recognized as a predictor of multisite pain and thus taken into account in the evaluation of a patient's risk for multisite pain. Perspective: This longitudinal study shows that evening types, compared to morning types, have higher odds of experiencing multisite MSK pain between ages 31 and 46 years. Chronotype should be considered while evaluating MSK patient's risk for persistent multisite pain symptoms.

Service evaluation of telehealth in a physiotherapy musculoskeletal setting: Patient outcomes and results from risk stratification

INTRODUCTION

Due to COVID-19 the ability to see all patients face-to-face (FTF) was removed. Services implemented telehealth to cater for patients requiring musculoskeletal care. A service evaluation was undertaken to assess the effectiveness of a mixed telehealth/FTF approach and identify if stratifying patients could help tailor intervention.

METHODS

Retrospective analysis of data collected from patients who were assessed by Musculoskeletal Physiotherapists in one Scottish health board was undertaken. Patients were divided into low, medium and high risk sub-groups through the Keele STarT MSK tool. Outcome measures for pain and musculoskeletal health were taken at baseline/discharge along with satisfaction/preference. Descriptive and Inferential statistical analysis was conducted to establish whether changes in the outcome measures within and between risk sub-groups were statistically significant.

RESULTS

Pain level difference from baseline to discharge demonstrated clinically and statistically significant improvements across all risk groups (N = 89). Musculoskeletal health demonstrated clinically significant improvements across all risk groups and statistically significant improvements in the medium/high risk groups but not the low risk. Patients with knee osteoarthritis and low back pain in the medium risk group had fewest appointments while patients with chronic shoulder pain had the most. The majority of patients were satisfied with all mediums but preferred FTF or an option between telehealth/FTF in the future.

CONCLUSION

Telehealth is a promising model of care when utilised in combination with FTF for patients with musculoskeletal conditions. Through stratification, identifying specific conditions and shared decision making it may be possible to treat certain patient groups via telehealth.

Eveningness intensifies the association between musculoskeletal pain and health-related quality of life: a Northern Finland Birth Cohort Study 1966

ABSTRACT

People with an evening (E)-type preference (ie, chronotype) experience musculoskeletal (MSK) pain and reduced health-related quality of life (HRQoL) more often than morning (M) types. Musculoskeletal pain is a well-established contributor to reduced HRQoL. This study aimed to evaluate whether eveningness amplifies the association between MSK pain and HRQoL in contrast to morningness. Questionnaire data on MSK pain dimensions (intensity, disability at work, number of pain sites [NPSs], and frequency), chronotype, covariates (sex, sufficiency of sleep duration, mental distress, and presence of coexisting diseases), and HRQoL (measured by 15D) were collected among 46-year-old individuals belonging to the Northern Finland Birth Cohort 1966 (N = 4257). Individuals without any MSK pain were excluded. General linear models were conducted to estimate the associations between chronotypes, MSK pain dimensions, and HRQoL. The interaction terms (chronotype × pain dimension) were tested in the models. There were 13% E-types and 43% M-types in the study sample. Each pain dimension and chronotype were related to HRQoL. In the sex-adjusted chronotype-specific models, the reduction in HRQoL in relation to pain appeared to be stronger among E-types than among M-types in respect to all pain dimensions. After adjustments, this was particularly seen in terms of NPS and pain frequency. Our findings suggest that eveningness intensifies the association between MSK pain and HRQoL, and, thus, they are indicative of E-types being more sensitive than M-types to the consequences of MSK pain. As such, MSK pain treatment and rehabilitation actions to improve HRQoL should be especially targeted at E-types.

Risk-based stratified primary care for common musculoskeletal pain presentations (STarT MSK): a cluster-randomised, controlled trial

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.

Validation of the German version of the STarT-MSK-Tool: A cohort study with patients from physiotherapy clinics

BACKGROUND

The STarT-MSK-Tool is an adaptation of the well established STarT-Back-Tool, used to risk-stratify patients with a wider range of musculoskeletal presentations.

OBJECTIVE

To formally translate and cross-culturally adapt the Keele STarT-MSK risk stratification tool into German (STarT-MSKG) and to establish its reliability and validity.

METHODS

A formal, multi-step, forward and backward translation approach was used. To assess validity patients aged ≥18 years, with acute, subacute or chronic musculoskeletal presentations in the lumbar spine, hip, knee, shoulder, or neck were included. The prospective cohort was used with initial data collected electronically at the point-of-consultation. Retest and 6-month follow-up questionnaires were sent by email. Test-retest reliability, construct validity, discriminative ability, predictive ability and floor or ceiling effects were analysed using intraclass correlation coefficient, and comparisons with a reference standard (Orebro-Musculoskeletal-Pain-Questionnaire: OMPQ) using correlations, ROC-curves and regression models.

RESULTS

The participants' (n = 287) mean age was 47 (SD = 15.8) years, 51% were female, with 48.8% at low, 43.6% at medium, and 7.7% at high risk. With ICC = 0.75 (95% CI 0.69; 0.81) test-retest-reliability was good. Construct validity was good with correlations for the STarT-MSKG-Tool against the OMPQ-Tool of rs = 0.74 (95% CI 0.68, 0.79). The ability of the tool [comparison OMPQ] to predict 6-month pain and disability was acceptable with AUC = 0.77 (95% CI 0.71, 0.83) [OMPQ = 0.74] and 0.76 (95% CI 0.69, 0.82) [OMPQ = 0.72] respectively. However, the explained variance (linear/logistic regression) for predicting 6-month pain (21% [OMPQ = 17%]/logistic = 29%) and disability (linear = 20%:[OMPQ = 19%]/logistic = 26%), whilst being comparable to the existing OMPQ reference standard, fell short of the a priori target of ≥30%.

CONCLUSIONS

The German version of the STarT-MSK-Tool is a valid instrument for use across multiple musculoskeletal conditions and is availabe for use in clinical practice. Comparison with the OMPQ suggests it is a good alternative.

Quantifying the population burden of musculoskeletal disorders, including impact on sickness absence: analysis of national Scottish data

Objectives

Musculoskeletal disorders (MSDs) account for the greatest burden of years lived with disability globally. To prevent disability, good-quality services need to be commissioned, appropriate for local need. We analysed data collected systematically from a new musculoskeletal service serving 70% of the population of Scotland to evaluate: age- and sex-specific occurrence; anatomical distribution; and impact and effect on work ability.

Methods

A new centralized telephone-based triage for people with musculoskeletal disorders was set up in Scotland in 2015. Available to most of the population aged >16 years (>3 million people), data were collected systematically into a database detailing: anatomical site, nature of onset, duration, impact/risk (modified STarT score), deprivation level and, for those in employment, sickness absence.

Results

Data were available from 219 314 new callers, 2015–18. Calls were more frequently from women (60%), increased with age until the eighth decade, and 66% reported symptoms that had been present for >6 weeks. Callers were more likely to be living in more deprived areas in each age band between 20 and 64 years and tended to have higher-impact symptoms. The majority (53%) of callers were in employment, and 19% of these were off sick because of their symptoms. Sickness absence was more common among those with highest impact/risk scores from deprived areas with more acute symptoms.

Discussion

Large-scale systematic data collection for MSDs emphasizes the size and impact of the burden among adults aged >16 years. A socio-economic gradient is evident in terms of prevalence and impact of MSDs, particularly for sickness absence.

Stratifying workers on sick leave due to musculoskeletal pain: translation, cross-cultural adaptation and construct validity of the Norwegian Keele STarT MSK tool

OBJECTIVES

Stratified care using prognostic models to estimate the risk profiles of patients has been increasing. A refined version of the popular STarT Back tool, the Keele STarT MSK tool, is a newly developed model for matched treatment across a wide range of musculoskeletal pain presentations. The aim of this study was to translate and culturally adapt the Keele STarT MSK tool into Norwegian, examine its construct validity and assess the representativeness of the included sample.

METHODS

The Keele STarT MSK tool was formally translated into Norwegian following a multistep approach of forward and backward translation. A pre-final version was tested in 42 patients. Minor changes were implemented. To assess its construct validity, an online survey was conducted among workers aged 18-67 years who were on sick leave (>4 weeks) due to musculoskeletal disorders. Construct validity was evaluated in terms of convergent and discriminant validity using Pearson's correlation coefficient, and known-group validity by comparing risk subgroups as suggested by the COSMIN checklist. The representativeness of the sample was assessed by comparing demographic and sick leave information of participants to eligible non-participants (n=168,137).

RESULTS

A representative sample of 549 workers participated in the validity assessment; 74 participants (13.5%) were categorised as low risk, 314 (57.2%) as medium risk and 161 (29.3%) as high risk. The construct validity was found sufficient, with 90.9% and 75.0% of the pre-defined hypotheses confirmed for convergent and discriminant validity, and known-group validity, respectively. Floor or ceiling effects were not found.

CONCLUSIONS

The Keele STarT MSK tool was successfully translated into Norwegian. The construct validity of the tool was acceptable in a representative cohort of workers on sick leave as a result of musculoskeletal pain. However, the analyses raised concerns as to whether one of the questions captures the construct it is intended to measure.

STarT MSK tool: Translation, adaptation and validation in Hebrew

BACKGROUND

The Keele STarT MSK Tool divides musculoskeletal patients into three prognostic groups for risk-stratified care. It has shown good predictive and discriminative ability in development and validation samples.

OBJECTIVES

This study aimed to translate and validate the STarT MSK in a Hebrew version, among Israeli people living with musculoskeletal (MSK) pain.

METHOD

A cross-sectional study, with nested prospective sub-sample. The STarT MSK was translated into Hebrew using published guidelines. A total of 153 adults (18+) who reported living with MSK pain were administered the STarT MSK. Clinical measures included for validity testing included the 12-Item Short-Form Health Survey (SF-12), the Hospital Anxiety and Depression Scale (HADS), the Fear-Avoidance Beliefs Questionnaire (FABQ) and a numerical pain rating scale (NPRS).

RESULTS

The STarT MSK was forward and backward translated, with minor changes to ensure cultural adaptation. The test-retest reliability of the STarT MSK total score was excellent (intraclass correlation coefficient 0.92). Internal consistency for the MSK scale was (α = 0.612). The Spearman's correlation coefficients between STarT MSK total score and the validation measures confirmed the hypotheses and were significant.

CONCLUSION

The Israeli translation and validation of the STarT MSK suggest that it is a valid and reliable instrument. The STarT MSK discriminated low-, medium- and high-risk groups.