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Diagnostic barriers for somatic symptom disorders in primary care: study protocol for a mixed methods study in Germany.

ABSTRACT: INTRODUCTION:Somatoform or somatic symptom disorders ((S)SD) are common and have a negative impact on the patients' health-related quality of life, healthcare use and costs. In primary care, which is central to the management of (S)SD, diagnosis and treatment tend to be delayed. There is a significant lack of evidence regarding the barriers in the diagnostic process of (S)SD in primary care and how interventions should be tailored to address them. The aim of this study is to analyse the diagnostic process in primary care that results in the diagnosis or non-diagnosis of a (S)SD. METHODS AND ANALYSIS:This mixed methods study will investigate the topic with qualitative methods, subsequently proceeding to a quantitative phase where the initial results will be validated and/or generalised. First, focus groups will explore meanings and patterns, inconsistencies and conflicts in general practitioners' (GPs) thoughts and behaviours when diagnosing (S)SD. Second, the results of these focus groups will be used to develop interview guidelines for subsequent face-to-face interviews. Patients and their treating GPs will be interviewed separately on how they experience the history of illness, the diagnostic process and treatment. Third, based on the results of the first two study parts, a questionnaire will be derived and a nationwide survey among German GPs will be conducted, quantifying the barriers and difficulties identified before. ETHICS AND DISSEMINATION:Ethics approval was obtained from the Ethics Committee of the Hamburg Medical Association, Germany (approval number PV4763). The results of this study will be disseminated through conference presentation and publications in peer-reviewed journals. TRIAL REGISTRATION NUMBER:The study is registered in the German Clinical Trial Register (DRKS), DRKS-ID DRKS00009736.

SUBMITTER: Heinbokel C

PROVIDER: S-EPMC5724128 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Diagnostic barriers for somatic symptom disorders in primary care: study protocol for a mixed methods study in Germany.

Heinbokel Christina C Lehmann Marco M Pohontsch Nadine Janis NJ Zimmermann Thomas T Althaus Astrid A Scherer Martin M Löwe Bernd B

BMJ open 20170811 8

<h4>Introduction</h4>Somatoform or somatic symptom disorders ((S)SD) are common and have a negative impact on the patients' health-related quality of life, healthcare use and costs. In primary care, which is central to the management of (S)SD, diagnosis and treatment tend to be delayed. There is a significant lack of evidence regarding the barriers in the diagnostic process of (S)SD in primary care and how interventions should be tailored to address them. The aim of this study is to analyse the ...[more]

PMID: 28801385

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Project description:IntroductionDiagnostic processes in the emergency department (ED) involve multiple interactions among individuals who interface with information systems to access and record information. A better understanding of diagnostic processes is needed to mitigate errors. This paper describes a study protocol to map diagnostic processes in the ED as a foundation for developing future error mitigation strategies.Methods and analysisThis study of an adult and a paediatric academic ED uses a prospective mixed methods case study design informed by an ED-specific diagnostic decision-making model (the modified ED-National Academies of Sciences, Engineering and Medicine (NASEM) model) and two cognitive theories (dual process theory and distributed cognition). Data sources include audio recordings of patient and care team interactions, electronic health record data, observer field notes and stakeholder interviews. Multiple qualitative analysis methods will be used to explore diagnostic processes in situ, including systems information flow, human-human and human-system interactions and contextual factors influencing cognition. The study has three parts. Part 1 involves prospective field observations of patients with undifferentiated symptoms at high risk for diagnostic error, where each patient is followed throughout the entire care delivery process. Part 2 involves observing individual care team providers over a 4-hour window to capture their diagnostic workflow, team coordination and communication across multiple patients. Part 3 uses interviews with key stakeholders to understand different perspectives on the diagnostic process, as well as perceived strengths and vulnerabilities, in order to enrich the ED-NASEM diagnostic model.Ethics and disseminationThe University of Michigan Institutional Review Board approved this study, HUM00156261. This foundational work will help identify strengths and vulnerabilities in diagnostic processes. Further, it will inform the future development and testing of patient, provider and systems-level interventions for mitigating error and improving patient safety in these and other EDs. The work will be disseminated through journal publications and presentations at national and international meetings.

Project description:Objectives: Despite satisfactory effectiveness of treatment for somatic symptom disorders (SSD), treatment rates are low and treatment is usually initiated many years after first symptoms. In order to understand whether a lack of public mental health literacy might contribute to these poor treatment rates, we aimed to focus on two research questions: (1) What does the German public know and think about SSD? (2) Are knowledge and beliefs associated with socio-demographic factors and experiences with the disorder? Methods: Two vignettes with symptoms of a SSD were used in a national telephone survey in Germany (N = 1,004). Vignettes differed regarding main type of symptom (pain vs. fatigue) and existence of an earlier somatic disease (yes vs. no). Respondents were asked concerning knowledge and beliefs about causes, symptoms, and treatment using a standardized questionnaire. Results: 66% of the respondents agreed that a possible cause of the symptoms is a misinterpretation of body signals. About 1/3 recognized a mental health problem when confronted with the vignettes of cases with SSD. This rate was lower in case of a SSD with pain as the main symptom without a comorbid somatic disease (24.8%, 95%-CI: 21.1-28.6) compared to a case with fatigue as the main symptom and an earlier severe somatic disease (44.0%, 95%-CI: 39.6-48.3). Female respondents tended to have a more positive view on treatability and effectiveness of psychotherapy, while associations of knowledge and beliefs with education and age were inconsistent. Respondents who had contact with a person with SSD were more likely to think that psychotherapy is effective and that they know a lot about SSD compared to those who never had contact. Conclusions: While most of the German public seems to be well informed about causes of SSD as well as treatability and the effectiveness of psychotherapy, the majority has problems with interpreting symptoms and does not think they know a lot about symptoms like that. Increasing knowledge about SSD by education interventions may help to promote adequate help seeking.

Project description:BACKGROUND:Anorexia nervosa is a serious disorder, which often takes a chronic course. Early treatment leads to a significantly better prognosis and prevents chronicity. However, existing evidence on facilitators and barriers in anorexia nervosa treatment initiation is scarce. AIMS:Against this background, the FABIANA study (ClinicalTrials.gov Identifier: NCT03713541) aims to (a) identify potentially modifiable facilitators and barriers from the perspectives of adolescent and adult patients with anorexia nervosa, carers and physicians, (b) develop and test an instrument for the combined assessment of multiple key facilitators and barriers, and (c) quantify the effect of potentially modifiable versus non-modifiable key facilitators and barriers on the duration of untreated illness (DUI) in patients with anorexia nervosa. METHOD:FABIANA is an observational, mixed-method-study divided into three consecutive substudies each corresponding to one of the study aims. All three substudies will include female patients with anorexia nervosa aged 14 years and older at the beginning of their first psychotherapeutic anorexia nervosa treatment. The qualitative substudy I and the quantitative substudy III will additionally include carers and involved physicians. The recruitment will take place at 20 cooperating study centres throughout Germany, which provide in-patient or out-patient anorexia nervosa specialist care. The DUI will be calculated based on the month of illness onset as determined in validated interviews on lifetime anorexia nervosa symptoms and the therapist-reported date of treatment initiation. CONCLUSIONS:Strengths and limitations of the retrospective assessment of the DUI will be discussed. The findings of the FABIANA study will contribute to the development of evidence-based early-intervention approaches and the prevention of a chronic course of illness. TRIAL REGISTRATION:ClinicalTrials.gov Identifier: NCT03713541. DECLARATION OF INTEREST:None.

Project description:BackgroundDiagnostic errors pose significant health risks and contribute to patient mortality. With the growing accessibility of electronic health records, machine learning models offer a promising avenue for enhancing diagnosis quality. Current research has primarily focused on a limited set of diseases with ample training data, neglecting diagnostic scenarios with limited data availability.ObjectiveThis study aims to develop an information retrieval (IR)-based framework that accommodates data sparsity to facilitate broader diagnostic decision support.MethodsWe introduced an IR-based diagnostic decision support framework called CliniqIR. It uses clinical text records, the Unified Medical Language System Metathesaurus, and 33 million PubMed abstracts to classify a broad spectrum of diagnoses independent of training data availability. CliniqIR is designed to be compatible with any IR framework. Therefore, we implemented it using both dense and sparse retrieval approaches. We compared CliniqIR's performance to that of pretrained clinical transformer models such as Clinical Bidirectional Encoder Representations from Transformers (ClinicalBERT) in supervised and zero-shot settings. Subsequently, we combined the strength of supervised fine-tuned ClinicalBERT and CliniqIR to build an ensemble framework that delivers state-of-the-art diagnostic predictions.ResultsOn a complex diagnosis data set (DC3) without any training data, CliniqIR models returned the correct diagnosis within their top 3 predictions. On the Medical Information Mart for Intensive Care III data set, CliniqIR models surpassed ClinicalBERT in predicting diagnoses with <5 training samples by an average difference in mean reciprocal rank of 0.10. In a zero-shot setting where models received no disease-specific training, CliniqIR still outperformed the pretrained transformer models with a greater mean reciprocal rank of at least 0.10. Furthermore, in most conditions, our ensemble framework surpassed the performance of its individual components, demonstrating its enhanced ability to make precise diagnostic predictions.ConclusionsOur experiments highlight the importance of IR in leveraging unstructured knowledge resources to identify infrequently encountered diagnoses. In addition, our ensemble framework benefits from combining the complementary strengths of the supervised and retrieval-based models to diagnose a broad spectrum of diseases.

Project description:IntroductionThere is growing awareness that cancer services need to address patients' well-being as well as treating their cancer. We developed systematic approaches to (1) monitoring patients' symptoms including depression using a 'Symptom Monitoring Service' and (2) providing treatment for those with major depression using a programme called 'Depression Care for People with Cancer'. Used together, these two programmes were found to be highly effective and cost-effective in clinical trials. The overall aims of this project are to: (1) study the process of introducing these programmes into routine clinical care in a large cancer service, (2) identify the challenges associated with implementation and how these are overcome, (3) determine their effectiveness in a routine non-research setting and (4) describe patients' and clinicians' experience of the programmes.Methods and analysisThis is a mixed-methods longitudinal implementation study. We will study the process of implementation in three phases (April 2016-December 2018): 'Pre-implementation' (setting up of the new programmes), 'Early Implementation' (implementation of the programmes in a small number of clinics) and 'Implementation and Maintenance' (implementation in the majority of clinics). We will use the following methods of data collection: (1) contemporaneous logs of the implementation process, (2) interviews with healthcare professionals and managers, (3) interviews with patients and (4) routinely collected clinical data.Ethics and disseminationThe study has been reviewed by a joint committee of Oxford University Hospitals National Health Service Foundation Trust Research and Development Department and the University of Oxford's Clinical Trials and Research Governance Department and judged to be service evaluation, not requiring ethics committee approval. The findings of this study will guide the scaling up implementation of the programmes across the UK and will enable us to construct an implementation toolkit. We will disseminate our findings in publications and at relevant national and international conferences.

Project description:IntroductionThe debate on reconciliation between childcare and working has to be expanded to caregiving for the elderly, since the importance of informal caregiving will increase in the future due to populations' ageing and women's increasing labour force participation. Informal caregivers who are caring for the rising number of persons with dementia (PwD) are often female and subjected to high caregiving requirements. These are added to further demands emerging from their family and work life. How affected caregivers seek to balance those requirements depends on, inter alia, their own characteristics and the informal caregiving network to whom they relate. Both aspects were not yet considered in previous studies. This mixed methods study thus aims to explore the reconciliation between caregiving in dementia, family and employment by including different members of caregiving networks of home-dwelling PwD and by considering their personal characteristics.Methods and analysisBy purposive sampling, we include at least five caregiving networks of home-dwelling PwD; each of them consisting of at least three informal caregivers living in Northern Germany. Narrative interviews of participants will be recorded, transcribed verbatim and interpreted according to the Documentary Method (QUAL). By completing standardised questionnaires, participants will provide sociodemographic and psychographic data concerning themselves and the networks from whom they arise (quan). This supplemental, descriptive information will give further background to the themes and types emerging from the interviews. Hence, the quan-data enrich the QUAL-data by exploring the narratives of participants in the light of their personal and network-related characteristics.Ethics and disseminationEthical approval was obtained from the Ethics Committee of the German Society of Nursing Sciences. Study results will be disseminated through conference presentations and publications in peer-reviewed journals.Trial registration numberDRKS00012929.

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Diagnostic barriers for somatic symptom disorders in primary care: study protocol for a mixed methods study in Germany.

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Diagnostic barriers for somatic symptom disorders in primary care: study protocol for a mixed methods study in Germany.

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