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Introduction: To understand, diagnose and treat patients with musculoskeletal disorders, psychological risk factors should be assessed, and the association between psychological risk for disability and appropriateness of orthopedic surgery should be investigated. Purpose: To investigate the association between screened psychological risk for disability and appropriateness of orthopedic surgery, and to examine a physiotherapist's ability to assess risk for disability in patients referred for orthopedic consultation. Method: Patients (n = 192) were assessed by a physiotherapist or an orthopedic surgeon to determine the need for surgery. The Pain Belief Screening Instrument (PBSI) was used to screen for psychological risk. The physiotherapist assessed psychological risk for disability based on yellow flags. Association between PBSI risk profile and appropriateness of orthopedic surgery was analyzed using logistic regression. Sensitivity and specificity of the physiotherapist's assessment of risk was calculated using a binary classification model. Results: Orthopedic surgery was 2.28 times more likely to be considered an appropriate intervention for patients with a high PBSI risk profile (95% CI 1.09;4.78). The physiotherapist's risk assessment correctly identified 88% of those at low risk (specificity) and 32% of those at high risk for disability (sensitivity). Conclusion: The findings suggest that orthopedic surgery is likely to be considered appropriate for patients with a high PBSI risk profile. The high specificity of the physiotherapist's assessment implies good awareness of psychological factors. The low sensitivity suggests a need for using a screening tool such as the PBSI, to guide management decisions.

Resilience aids nursing students in dealing with adversities during their nursing education. This study examined the relationship between nursing students’ resilience and relevant variables in the context of clinical education. Methods: A cross-sectional study was conducted to collect data from 319 undergraduate nursing students in Northeast Thailand. The Connor–Davidson Resilience Scale, the Multidimensional Scale of Perceived Social Support, the Learning Experience Scale or the Personal Responsibility Orientation to Self-Direction in Learning Scale, and the Stressors in Nursing Students scale were administered. A multiple regression analysis was performed for factors presumed to be associated with resilience. Results reported that Thai nursing students’ average resilience score was 71.79 ± 16.33. Multiple regression analysis indicated factors associated with resilience, in which social support (β = 0.354, p < 0.001, 95%CI: 0.240 to 0.469) and self-directed learning (β = 0.787, p < 0.001, 95%CI: 0.606 to 0.968) showed a positive association, while stress (β = −0.083, p = 0.025, 95%CI: −0.083 to −0.006) had a negative association. The final model accounted for 43.4% of the variance in the resilience score. In conclusion, self-directed learning, social support, and perceived stress among nursing students during clinical education are associated with their resilience.

Background: Persons with dementia living in nursing homes need assistance with moving and transfers; however, caregivers assisting persons with dementia in their daily person transfers report strain-related and complicated transfer-related behavioural problems. The reciprocity of complex dyadic transfer-related behaviours is affected by environmental factors, the health status of the person with dementia and the caregiver’s skills and knowledge. The aim of this study was to explore tailored interventions guided by a functional behaviour analysis for problematic person transfer situations in two dementia care dyads. Methods: This study was a quasi-experimental single-case study with an A-B design. Tailored interventions were developed in a five-step model for functional behavioural analysis. The study was conducted in a dementia special care unit at a nursing home, and the inclusion criteria were caregivers’ experiences of physical strain and/or resistiveness to care, which led to complex transfer-related behaviour. Two care dyads were included. Transfer situations were video-recorded and evaluated with the Dyadic Interaction in Dementia Transfer Assessment Scale, Pain Assessment in Advanced Dementia Scale, and Resistiveness to Care Scale for Dementia of the Alzheimer’s Type. The caregiver experience was evaluated with study-specific items addressing caregiver self-efficacy, catastrophizing thoughts, perceived control, and perceived physical strain. Scorings were graphically displayed. The graphs were inspected visually to identify changes in trend, level, latency, and variability. Nonoverlap of all pairs (NAP), including 90% confidence intervals (CIs), was calculated to complement the visual inspection. Results: Verbal and nonverbal discomfort decreased in care dyad 1, which mirrored the caregiver changes in adapting their actions to the needs of the person with dementia. High variability was seen in both the intervention and the baseline phases in care dyad 2. In both care dyads, caregiver transfer-related behaviour improved. Conclusions: The results indicate that the transfer-related behaviours of the care dyad might be improved through a behaviour-directed intervention tailored to meet the care dyad´s needs. The small number of cases and observations limits the generalizability, and the results should be interpreted in consideration of the piloting approach of the study. 

BACKGROUND: A behavioural medicine approach in physiotherapy has shown positive effects on increased and sustained activities and participation, including reduced sick leave for patients with persistent musculoskeletal pain. The aim of this study was to explore the health outcomes of patients with persistent musculoskeletal pain treated by physiotherapists who had received active compared with passive support when implementing a behavioural medicine approach.

METHODS: An explorative and comparative pre-/post-test trial was conducted. A total of 155 patients with musculoskeletal pain ≥4 weeks were consecutively recruited by physiotherapists in primary healthcare who had received active or passive support when implementing a behavioural medicine approach. Data concerning health outcomes for patients were collected using questionnaires before and after the physiotherapy treatment and at half-, one- and two-year follow-ups. Descriptive, non-parametric and parametric bi- and multivariate statistics were used.

RESULTS: There were no differences over time between the patients treated by physiotherapists who had received active compared to passive implementation support regarding pain-related disability, pain intensity, self-rated health, self-efficacy in performing daily activities, catastrophic thinking related to pain, and fear of movement. Significant improvements over time were identified in both groups regarding all variables and the effect sizes were large. The percentage of patients on sick leave significantly decreased in the patient group treated by physiotherapists who had received active implementation support.

CONCLUSION: It is very important to include patient outcomes when evaluating the implementation of multicomponent interventions. It seems that the implementation method did not play a major role for the patients' outcomes in this study. Most of the patients' health outcomes improved regardless of whether they were treated by physiotherapists who had received active or passive support when implementing a behavioural medicine approach. This was likely because the active implementation support was not extensive enough to enable the physiotherapists to sustain the behavioural medicine approach.

TRIAL REGISTRATION: The study protocol was retrospectively registered in ClinicalTrials.gov . ID NCT03118453 , March 20, 2017.