PROFSS: A screening tool for early identification of functional somatic symptoms

Gol, Janna; Burger, Huibert; Janssens, Karin A.M.; Slaets, Joris P. J.; Gans, Rijk O. B.; Rosmalen, Judith

doi:10.1016/j.jpsychores.2014.10.004

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…urination problems) towards MUS patients, whereas MES patients are often described with ‘disease terms’ (e.g. bladder infection) [ 39 ]. Formulate code Terminology – a) illness; b) disease Read through training consultations Differentiating between the two was not easy (e.g.…”

Section: Methodsmentioning

confidence: 99%

Coding linguistic elements in clinical interactions: a step-by-step guide for analyzing communication form

Stortenbeker

Salm

Hartman³

et al. 2022

BMC Med Res Methodol

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Background The quality of communication between healthcare professionals (HCPs) and patients affects health outcomes. Different coding systems have been developed to unravel the interaction. Most schemes consist of predefined categories that quantify the content of communication (the what). Though the form (the how) of the interaction is equally important, protocols that systematically code variations in form are lacking. Patterns of form and how they may differ between groups therefore remain unnoticed. To fill this gap, we present CLECI, Coding Linguistic Elements in Clinical Interactions, a protocol for the development of a quantitative codebook analyzing communication form in medical interactions. Methods Analyzing with a CLECI codebook is a four-step process, i.e. preparation, codebook development, (double-)coding, and analysis and report. Core activities within these phases are research question formulation, data collection, selection of utterances, iterative deductive and inductive category refinement, reliability testing, coding, analysis, and reporting. Results and conclusion We present step-by-step instructions for a CLECI analysis and illustrate this process in a case study. We highlight theoretical and practical issues as well as the iterative codebook development which combines theory-based and data-driven coding. Theory-based codes assess how relevant linguistic elements occur in natural interactions, whereas codes derived from the data accommodate linguistic elements to real-life interactions and contribute to theory-building. This combined approach increases research validity, enhances theory, and adjusts to fit naturally occurring data. CLECI will facilitate the study of communication form in clinical interactions and other institutional settings.

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Section: Methodsmentioning

confidence: 99%

Coding linguistic elements in clinical interactions: a step-by-step guide for analyzing communication form

Stortenbeker

Salm

Hartman³

et al. 2022

BMC Med Res Methodol

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“…By broadening our scope of interest, we found research by Gol et al on 451 GP letters concerning patients referred to internal medicine outpatient clinics. This showed that referral letters concerning MUPS patients contained vague and non-specific information in lay terms more often than referral letters about patients whose somatic symptoms had been explained by a general medical diagnosis [17].…”

Section: Comparison With Literaturementioning

confidence: 97%

Training specialists to write appropriate reply letters to general practitioners about patients with medically unexplained physical symptoms; A cluster-randomized trial.

Weiland

Blankenstein

Willems

et al. 2015

Patient Education and Counseling

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“…The first study used information from GP letters to medical specialists for patients who were referred with FSS. 40 In their clinical prediction rule, female sex, referral symptom group, lack of somatic comorbidity, lack of abnormal physical findings, history of psychiatric diagnosis or treatment, and referral letter written in illness terminology were all shown to be predictors for FSS. This model had a higher area under the curve (0.82) than ours (0.64) and was developed for patients consulting internists.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Developing a clinical prediction rule for repeated consultations with functional somatic symptoms in primary care: a cohort study

et al. 2021

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ObjectivesPatients who present in primary care with chronic functional somatic symptoms (FSS) have reduced quality of life and increased health care costs. Recognising these early is a challenge. The aim is to develop and internally validate a clinical prediction rule for repeated consultations with FSS.Design and settingRecords from the longitudinal population-based (‘Lifelines’) cohort study were linked to electronic health records from general practitioners (GPs).ParticipantsWe included patients consulting a GP with FSS within 1 year after baseline assessment in the Lifelines cohort.Outcome measuresThe outcome is repeated consultations with FSS, defined as ≥3 extra consultations for FSS within 1 year after the first consultation. Multivariable logistic regression, with bootstrapping for internal validation, was used to develop a risk prediction model from 14 literature-based predictors. Model discrimination, calibration and diagnostic accuracy were assessed.Results18 810 participants were identified by database linkage, of whom 2650 consulted a GP with FSS and 297 (11%) had ≥3 extra consultations. In the final multivariable model, older age, female sex, lack of healthy activity, presence of generalised anxiety disorder and higher number of GP consultations in the last year predicted repeated consultations. Discrimination after internal validation was 0.64 with a calibration slope of 0.95. The positive predictive value of patients with high scores on the model was 0.37 (0.29–0.47).ConclusionsSeveral theoretically suggested predisposing and precipitating predictors, including neuroticism and stressful life events, surprisingly failed to contribute to our final model. Moreover, this model mostly included general predictors of increased risk of repeated consultations among patients with FSS. The model discrimination and positive predictive values were insufficient and preclude clinical implementation.

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PROFSS: A screening tool for early identification of functional somatic symptoms

Cited by 6 publications

References 13 publications

Coding linguistic elements in clinical interactions: a step-by-step guide for analyzing communication form

Coding linguistic elements in clinical interactions: a step-by-step guide for analyzing communication form

Training specialists to write appropriate reply letters to general practitioners about patients with medically unexplained physical symptoms; A cluster-randomized trial.

Developing a clinical prediction rule for repeated consultations with functional somatic symptoms in primary care: a cohort study

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