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Rationale Decision-making in musculoskeletal health care is complex, with discrepancy among clinical providers and variation in the per cent of referrals for specialist care. To date, there is an increased focus on specialist referrals, risking overuse of expensive testing and contributing to unnecessary treatment. Aims and objectives This report will considerer the difficulties of primary care musculoskeletal decision-making using shoulder injuries as an example, presenting a solution based on multi-criteria decision-making analysis with online software. The associated issues involved in clinical decision-making are complex. Contributing to the components of complexity are; the multifaceted aetiology of shoulders, the experience and knowledge of providers, and the burden of patient demands. Notwithstanding, funding considerations, resource allocation availability and other associated issues around clinical decision-making. Considering the many facets and complexities of clinical decision-making, this is an area where multi-criteria decision-making analysis (MCDM) may be appropriate. The MCDM analysis approach is increasingly being used in health care and can assist in the organizing and weighting of identified key clinical factors. MCDM could be applied to the challenges of musculoskeletal care with the potential to decrease decision-making variability. Furthermore, the significance of each key clinical factor that musculoskeletal decision-making is based on are to date unclear. Conclusion Therefore, this preliminary report offers a start towards clarifying key factors and an approach for implementing improved shoulder clinical care decision-making which could then be adapted and applied to other body sites.

© 2019 AJA Inc. Objective: This paper describes a workshop process conducted to guide funding priorities for the Ageing Well National Science Challenge in New Zealand (NZ). Methods: Based on the Checklist for Health Research Priority Setting, stakeholders networking workshops were conducted in five main cities in NZ (n = 133 attendees). Each workshop involved an introductory presentation; small group work exploring the a priori areas of: mind health, social well-being, health services and age-friendly environments; capturing key ideas on flip charts; feedback; and discussion of documented content. Results: Suggested strategies to address these issues incorporated reduction in segregated “villages,” delivery of integrated care and provision of age-friendly transport. Proposed examples of monitoring impact included increased tertiary participation by older people and presence of more housing options. Conclusion: Actively engaging older adults and community stakeholders in setting research priorities provided a unique opportunity to understand the key areas older adults think important for future research.

Objectives This study aimed to determine the feasibility of conducting a full scale randomized controlled trial investigating the effectiveness of low level laser therapy (LLLT), also known as photobiomodulation (PBM) therapy, used in addition to conventional therapy, for managing breast cancer related lymphedema (BCRL). Materials and methods Patients with BCRL were recruited from the Southern District Health Board (New Zealand) via lymphedema therapists' referrals, and randomly allocated into either the laser group, which received BCRL conventional therapy (e.g., wearing compression garments, massage therapy, and/or exercise) plus a 6-week LLLT (PBM) intervention program (wavelength: 980/810 nm (80:20 ratio); output power: 500 mW beam spot size: 5 cm2 ; irradiance: 100 mW/cm2 ; treatment time per area: 1 minute dosage per area treated: 30J (6J/cm2 ); 10 points of treatment from axilla to wrist total LLLT (PBM) treatment time: 10 minutes total dosage delivered: 300 J), or the control group, which received BCRL conventional therapy alone. Feasibility was determined by recruitment and randomization rates, retention of participants and treatment protocol adherence, and was assessed during the recruiting and intervention periods. Data on participant satisfaction and adverse reactions of LLLT (PBM) were collected on completion of this study. Clinical outcomes (i.e., limb circumference, participant's perceived symptoms, psychological impacts, and activity disability) were assessed at baseline, and 6 and 12 weeks post-randomization. Results Over a 6-month recruitment window, 17 participants with BCRL were recruited in the study, and randomized into the two groups (recruitment rate of 81%, and randomization rate of 100%). Treatment adherence was high in the laser group (88.9% of participants completed all treatments). Retention rates were 88.9% for the laser group and 100% for the control group at both 6 and 12 weeks post-randomization. All participants who completed LLLT (PBM) treatment indicated that they were satisfied with the treatment. No serious adverse reactions were reported in this study. Clinical outcomes failed to show additional benefits of LLLT (PBM) intervention. Conclusion This study demonstrated that it is feasible to conduct a fully powered RCT to definitively test the effectiveness of the additional use of LLLT (PBM) in the management of BCRL. For such a trial, 114 participants will be needed at baseline. Lasers Surg. Med. 50:924-932, 2018. © 2018 Wiley Periodicals, Inc.

Background It has been suggested that health care professional (HCP) attitudes and beliefs may negatively influence the beliefs of patients with low back pain (LBP), but this has not been systematically reviewed. This review aimed to investigate the association between HCP attitudes and beliefs and the attitudes and beliefs, clinical management, and outcomes of this patient population. Methods Electronic databases were systematically searched for all types of studies. Studies were selected by predefined inclusion criteria. Methodological quality was appraised and strength of evidence was determined. Results Seventeen studies from eight countries which investigated the attitudes and beliefs of general practitioners, physiotherapists, chiropractors, rheumatologists, orthopaedic surgeons and other paramedical therapists were included. There is strong evidence that HCP beliefs about back pain are associated with the beliefs of their patients. There is moderate evidence that HCPs with a biomedical orientation or elevated fear avoidance beliefs are more likely to advise patients to limit work and physical activities, and are less likely to adhere to treatment guidelines. There is moderate evidence that HCP attitudes and beliefs are associated with patient education and bed rest recommendations. There is moderate evidence that HCP fear avoidance beliefs are associated with reported sick leave prescription and that a biomedical orientation is not associated with the number of sickness certificates issued for LBP. Conclusion: HCPs need to be aware of the association between their attitudes and beliefs and the attitudes and beliefs and clinical management of their patients with LBP.

Albert NM, Gillinov AM, Lytle BW, Feng J, Cwynar R, Blackstone EH. A randomized trial of massage therapy after heart surgery. Heart Lung 2009; 38: 480–90.