From the Editor

Why do doctors not learn how to explain “medically unexplained symptoms”?

To describe the teaching and delivery of an extended consultation model designed for clinicians to use with patients with persistent physical symptoms and functional disorders. The model is underpinned by current scientific knowledge about persistent physical symptoms and the communication problems that arise in dealing with them.

Process evaluation of training and delivery of the Recognition, Explanation, Action, Learning (REAL) model within the Multiple Symptoms Study 3: a randomised controlled trial of an extended-role GP “Symptoms Clinic”. Evaluation used clinician and patient interviews and consultation transcripts.

7 GPs were trained in the intervention and 6 of them went on to deliver the REAL model in Symptoms Clinics either face-to-face or online. The Symptoms Clinic provided a set of 4 extended consultations to approximately 170 patients. Evaluation of training indicated that there was a considerable load in terms of new knowledge and skills. Evaluation of delivery found clinicians could adapt the model to individual patients while maintaining a high level of fidelity to its core components.

REAL is a teachable consultation model addressing specific clinical communication issues for people with persistent physical symptoms.

REAL enables clinicians to explain persistent physical symptoms in a beneficial way.

Functional disorders represent a prevalent health issue, significantly impacting both individuals and healthcare systems. This multidisciplinary dataset aims to enhance our comprehension of the complex interplay among various factors that contribute to functional somatic syndromes. The dataset comprises data from seemingly healthy adults (aged 18-65) in Isfahan, Iran, who were randomly selected and monitored for four consecutive years. The research data encompasses seven distinct datasets: (a) functional symptom evaluations across multiple body organs, (b) psychological assessments, (c) lifestyle factors, (d) demographic and socioeconomic variables, (e) laboratory measurements, (f) clinical examinations, and (g) historical information. A total of 1930 participants were enrolled at the study's outset in 2017. The first, second, and third annual follow-up rounds were completed with 1697 (2018), 1616 (2019), and 1176 (2020) participants, respectively. This dataset is made available for further analysis by a diverse range of researchers, healthcare policymakers, and clinicians.

Engaging patients in treatment for functional somatic symptoms (FSS) relies on a shared understanding of the mechanisms underlying the complaints. Despite this, little is known about the explanatory models used in daily clinical practice. We aim to examine the approaches healthcare professionals use to explain FSS across European healthcare settings.

This is an exploratory mixed methods study, combining sequential qualitative and quantitative analyses. 3 types of data were collected: a survey of Health-Care Professionals (HCPs) with special interest in FSS from 16 European countries (n = 186), Patient Education Material collected systematically from survey respondents (n = 72) and semi-structured Interviews with HCPs (n = 14). Survey results are summarized descriptively. Qualitative data was thematically coded following template analysis methods. Findings were integrated through mixed-methods triangulation.

Five main explanatory models for FSS that are used across treatment settings and diagnostic constructs were represented in the data. The ‘Multisystem Stress’ Approach explains FSS through physiological stress responses within a bio-psycho-social paradigm. ‘Sensitized Alarm’ and ‘Malfunctioning software’ are both approaches derived from the neurosciences. Explanations related to ‘Embodied Experience’ are often used within integrated psychosomatic therapies. In the person-centred ‘Symptoms’ approach, HCPs aim for co-constructed, individualized explanations. These approaches, which rely on different models of mind-body-environment are complementary and are used flexibly by skilled HCPs.

Taken together the explanatory models described might form the basis of a curriculum of medical explanation with the potential to equip clinicians to form more collaborative relationships with patients across healthcare.