Transformative Learning to Virtual Inter-Professional Education in Musculoskeletal Pain

Overview

Musculoskeletal (MSK) pain is amongst the leading reasons for people seeking medical attention in local primary care, accounting for 6-28% of principal diagnoses. Patient education is one of the important treatment strategies to ease pain, reduce suffering and disability. However, from our anecdotal experience, patients often report there is an inconsistency in the information being provided by healthcare professionals. This can be due to the existence of different MSK pain frameworks as the understanding of pain sciences evolves. Hence, there is a need for regular Continuous Medical Education (CME) to update and improve healthcare staff knowledge and skills on this aspect in Singapore. The conventional teaching method is typically used in SingHealth Polyclinics (SHP) CME sessions. It focuses on lecture-based instruction as the teaching centre, emphasizing the delivery of syllabus and concept. The conventional teaching method has been shown to be less effective than other teaching strategies (e.g. Case based learning) in practical application and critical thinking abilities. Mezirow proposed the use of Transformative Learning to enhance adult learning. We aim to conduct an RCT to investigate whether this teaching method is superior to the conventional teaching method in improving MSK pain knowledge, management advice, attitudes and beliefs of healthcare professionals in primary care. This randomised multi-centre, prospective study will be conducted across all SHP polyclinics. Healthcare professionals working in SHP will be invited to participate in the study. Participants in both the intervention and control groups will be asked to complete the questionnaires at 3 time-points: before and after the lecture, as well as 1 month later. The anonymised data collected will then be analysed using descriptive and inferential statistics.

Study Design This randomised, multi-centre, prospective study will be conducted in all public primary care centres also known as polyclinics which manage patients with acute and chronic medical conditions. Patients may also visit the polyclinics which are located mainly in the eastern, southern and north-eastern part of Singapore, to utilise the vaccination, medical examination or screening, and/ or allied health services such as physiotherapy and podiatry services. This project will seek approval from the institutional ethics committee prior to commencement and it will be conducted in accordance with the Declaration of Helsinki. Participants SHP conducts regular continuing education lectures as part of the ongoing effort in ensuring continual development of knowledge and skills of the healthcare workforce. These lectures provide opportunity for staff to achieve professional self-improvement and to ensure that their knowledge and skills are up-to-date and relevant. The MSK pain lectures will be incorporated as one of continuing education sessions. The delivery of the MSK pain lecture will be scheduled to be conducted online. Invitation email will be sent to healthcare professionals. Information about the lecture and study will be stated in the email (sample attached). Those who are interested in the lecture and agree to participate in the study will register interest by providing their email address. The lecture Zoom link will be sent to the participants before the lecture commencement. The participants who are involved in the study will be anonymised i.e. their personal identifications will not be collected during the study. The lecture invitation email will state that an education research will be conducted to evaluate and compare the effectiveness of two Zoom training methods. And that the participants will be randomized into either one of the methods. Data collection form link will be sent to them. As the study is completely voluntary, it is possible that the participants can sign up for the lecture but choose not to attempt the questionnaire forms or participate in the study at any time-point. The data collection is anonymous, hence it is impossible to identify the participants who do not fill up the questionnaires. Randomization Participants will be randomized in a 1:1 ratio to either intervention or control group according to a computer generated block randomization list. Random permuted blocks are used to ensure balance over time. The block size is determined by the statistician and will kept confidential from the study team until final database lock. Each participant will be assigned a study ID and the intervention/control assignment. Intervention and control group will receive the email links respectively to the virtual lectures. Sample size Based on the study by Collearya et al., to detect a significant increase in scores for Management Advice Vignette between the groups (increase in score of 25 in intervention group and increase in score of 3 in control group for the question on Exercise), the minimum required sample size for individual (block) randomization is 47 per arm, with a power of 80% and 5% significance level. Virtual Lecture A 2.5-hour virtual lecture will be conducted online. Pain science, common MSK conditions and management in primary care, basic pharmacology in pain management and pain education will be covered during the lecture. The educational materials will be developed using various pain resources such as relevant sections in the textbook by Wall and Melzack, patients' and clinicians' guidebooks of explaining pain by Butler and Moseley, and other related healthcare literatures such as clinical practice guidelines and systematic reviews of MSK conditions. The educational slides provide no specific explanations about the individual items in the evaluation tools such as NPQ, CAV, MAV and HC-PAIRS. Intervention group: Lecture conducted using Transformative Learning principles. Control group: Lecture conducted using conventional didactic approach with Q\&A session after the slides presentation. Both groups will receive the same content but provided using different education conceptual framework.