“Medically unexplained” symptoms and symptom disorders in primary care: prognosis-based recognition and classification

Background: Many patients consult their GP because they experience bodily symptoms. In a substantial proportion of cases, the clinical picture does not meet the existing diagnostic criteria for diseases or disorders. This may be because symptoms are recent and evolving or because symptoms are persistent but, either by their character or the negative results of clinical investigation cannot be attributed to disease: so-called “medically unexplained symptoms” (MUS). MUS are inconsistently recognised, diagnosed and managed in primary care. The specialist classification systems for MUS pose several problems in a primary care setting. The systems generally require great certainty about presence or absence of physical disease, they tend to be mind-body dualistic, and they view symptoms from a narrow specialty determined perspective. We need a new classification of MUS in primary care; a classification that better supports clinical decision-making, creates clearer communication and provides scientific underpinning of research to ensure effective interventions. Discussion: We propose a classification of symptoms that places greater emphasis on prognostic factors. Prognosis-based classification aims to categorise the patient’s risk of ongoing symptoms, complications, increased healthcare use or disability because of the symptoms. Current evidence suggests several factors which may be used: symptom characteristics such as: number, multi-system pattern, frequency, severity. Other factors are: concurrent mental disorders, psychological features and demographic data. We discuss how these characteristics may be used to classify symptoms into three groups: self-limiting symptoms, recurrent and persistent symptoms, and symptom disorders. The middle group is especially relevant in primary care; as these patients generally have reduced quality of life but often go unrecognised and are at risk of iatrogenic harm. The presented characteristics do not contain immediately obvious cut-points, and the assessment of prognosis depends on a combination of several factors. Conclusion: Three criteria (multiple symptoms, multiple systems, multiple times) may support the classification into good, intermediate and poor prognosis when dealing with symptoms in primary care. The proposed new classification specifically targets the patient population in primary care and may provide a rational framework for decision-making in clinical practice and for epidemiologic and clinical research of symptoms

Norwegian General Practitioners' Perspectives on Implementation of a Guided Web-Based Cognitive Behavioral Therapy for Depression: A Qualitative Study

BACKGROUND: Previous research suggests that Internet-based cognitive behavioral therapy (ICBT) has a positive effect on symptoms of depression. ICBT appears to be more effective with therapist support, but it is unclear what this support should comprise. General practitioners (GPs) have positive attitudes toward ICBT. However, ICBT is rarely used in regular care in general practice. More research is warranted to integrate the potential of ICBT as part of regular care. OBJECTIVE: The aim of this study was to explore aspects perceived by GPs to affect the implementation of guided ICBT in daily practice. Understanding their perspectives may contribute to improving the treatment of depression in the context of general practice. METHODS: A training package (3-day course) introducing a Norwegian translation of the ICBT program MoodGYM was developed and presented to GPs in Norway. Following training, GPs were asked to include guided ICBT in their regular care of patients with symptoms of depression by providing brief, face-to-face follow-up consultations between modules. We interviewed 11 GPs who had taken the course. Our interview guide comprised open questions that encouraged GPs to frame their responses using examples from their experiences when implementing ICBT. Thematic analysis was chosen to explore patterns across the data. RESULTS: An overall belief that ICBT would benefit both the patients' health and the GPs' own work satisfaction prompted the GPs to take the ICBT course. ICBT motivated them to invest time and effort in improving treatment. The most important motivating aspects in MoodGYM were that a program based on cognitive behavioral therapy could add a structured agenda to their consultations and empower depressed patients. Organizational aspects, such as a lack of time and varied practice, inhibited the use of ICBT. Inadequate knowledge, recalling the program, and changing own habits were also challenging. The GPs were ambivalent about whether ICBT had a negative impact on the doctor-patient interaction in the module follow-ups. Generally, GPs made an effort to recommend MoodGYM, but the expected module follow-ups were often not provided to patients and instead the GPs returned to standard treatment. CONCLUSIONS: GPs' feedback in the present study contribute to our understanding of the challenges of changing treatment for depression. Our findings indicated that recommending ICBT could add to the GP's toolkit. Offering training and highlighting the following aspects may increase recommendation of ICBT by GPs: (1) ICBT is theory-based and credible, (2) ICBT increases the GPs' work satisfaction by having a tool to offer, and (3) ICBT facilitates empowerment of patients in their own health. In addition, the present study also indicated that complex aspects must be accommodated before module follow-ups can be incorporated into GPs' treatment of depression

Predictors of a Functional Somatic Syndrome Diagnosis in Patients with Persistent Functional Somatic Symptoms

<p>Functional somatic syndromes (FSS) are characterized by the existence of multiple persistent functional somatic symptoms. Not many patients fulfilling the criteria for an FSS, receive a formal diagnosis, and it is unknown which factors explain this discrepancy. Patients that tend to worry and patients that gather more health information may have an increased chance of an FSS diagnosis. We hypothesized that high intelligence and high neuroticism increase the probability of an FSS diagnosis in patients with persistent functional somatic symptoms.</p><p>This study aims to investigate patient factors that might be important in the process of syndrome labeling.</p><p>Our study was performed in a large, representative population cohort (n = 976) in Groningen, The Netherlands, and included two assessment waves. Intelligence was measured using the General Aptitude Test Battery version B 1002-B. Neuroticism was measured using the 12-item neuroticism scale of the Eysenck Personality Questionnaire-Revised. Functional somatic symptoms were measured with the somatization section of the Composite International Diagnostic Interview. Current FSS diagnosis was assessed with a questionnaire. We performed multivariable logistic regression analyses including sum scores of neuroticism, intelligence scores, sex, number of functional somatic symptoms, and age as potential predictors of having an FSS diagnosis.</p><p>From the 976 participants that completed measurements at follow-up, 289 (26.4 %) participants reported at least one persistent functional somatic symptom, and these subjects were included in the main analyses (38.4 % males, mean age of 55.2 years (SD = 10.7), 36-82 years). High numbers of functional somatic symptoms ((OR) = 1.320; 95 % (CI) = 1.097-1.588), female sex (OR = 9.068; 95 % CI = 4.061-20.251), and high intelligence (OR = 1.402; 95 % CI = 1.001-1.963) were associated with an FSS diagnosis, while age (OR = 0.989; 95 % CI = 960-1.019) and neuroticism (OR = 0.956; 95 % CI = 0.872-1.048) were not.</p><p>This study suggests that high intelligence, but not high neuroticism, increases the chance of syndrome labeling in patients with persistent functional somatic symptoms.</p>