Introduction In 2016 a new form of integrated community treatment for patients with serious mental illnesses was implemented in two neighborhoods in the city of Utrecht (335000 inhabitants) in the Netherlands. Treatment is characterized by close collaboration of psychiatric care, somatic care (i.e. general practitioner, nurse practitioner), supported housing and other facilities, i.e. the police officer, and is provided in the direct neighborhood of the patients. This ‘neighborhood based integrated mental health care’ should not contribute solely to clinical recovery, but also specifically to social and personal recovery. Objectives The aim of this research was to investigate the experience of patients with serious mental illnesses themselves receiving this new form of neighborhood-based integrated mental health care. More specific the question is studied if and how neighborhood-based integrated mental health care supports personal and social recovery. Methods To assess the experience of patients in depth qualitative semi-structured interviews were conducted with 20 patients. Patients were asked to participate in interviews directly by the researchers, by their case managers and by experts by experience. Interview topics included personal and social recovery, resilience and self-efficacy related to the collective effort of caregivers. Qualitative data was analyzed by three independent researches with the qualitative computer program Tarzan. Strategies to enhance quality of data analysis (respondent validation) and validity (attention to negative cases) were used. Results The study will be finished in January 2019. Conclusions The results, a brief description of the collaborative care methodology offered and experiences of patients, and conclusions will be presented at the ENMESH conference.
In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. The second article focused on context, research questions and designs, and referred to publications for further reading. This third article addresses FAQs about sampling, data collection and analysis. The data collection plan needs to be broadly defined and open at first, and become flexible during data collection. Sampling strategies should be chosen in such a way that they yield rich information and are consistent with the methodological approach used. Data saturation determines sample size and will be different for each study. The most commonly used data collection methods are participant observation, face-to-face in-depth interviews and focus group discussions. Analyses in ethnographic, phenomenological, grounded theory, and content analysis studies yield different narrative findings: a detailed description of a culture, the essence of the lived experience, a theory, and a descriptive summary, respectively. The fourth and final article will focus on trustworthiness and publishing qualitative research.
Abstract Background. Fever in children is common and mostly caused by self-limiting infections. However, parents of febrile children often consult in general practice, in particular during out-of-hours care. To improve management, it is important to understand experiences of GPs managing these consultations. Objective. To describe GPs’ experiences regarding management of childhood fever during out-ofhours care. Methods. A descriptive qualitative study using purposeful sampling, five focus group discussions were held among 37 GPs. Analysis was based on constant comparative technique using open and axial coding. Results. Main categories were: (i) Workload and general experience; (ii) GPs’ perceptions of determinants of consulting behaviour; (iii) Parents’ expectations from the GP’s point of view; (iv) Antibiotic prescribing decisions; (v) Uncertainty of GPs versus uncertainty of parents and (vi) Information exchange during the consultation. GPs felt management of childhood fever imposes a considerable workload. They perceived a mismatch between parental concerns and their own impression of illness severity, which combined with time–pressure can lead to frustration. Diagnostic uncertainty is driven by low incidences of serious infections and dealing with parental demand for antibiotics is still challenging. Conclusion. Children with a fever account for a high workload during out-of-hours GP care which provides a diagnostic challenge due to the low incidence of serious illnesses and lacking longterm relationship. This can lead to frustration and drives antibiotics prescription rates. Improving information exchange during consultations and in the general public to young parents, could help provide a safety net thereby enhancing self-management, reducing consultations and workload, and subsequent antibiotic prescriptions.
DISTENDER will provide integrated strategies by building a methodological framework that guide the integration of climate change(CC) adaptation and mitigation strategies through participatory approaches in ways that respond to the impacts and risks of climatechange (CC), supported by quantitative and qualitative analysis that facilitates the understanding of interactions, synergies and tradeoffs.Holistic approaches to mitigation and adaptation must be tailored to the context-specific situation and this requires a flexibleand participatory planning process to ensure legitimate and salient action, carried out by all important stakeholders. DISTENDER willdevelop a set of multi-driver qualitative and quantitative socio-economic-climate scenarios through a facilitated participatory processthat integrates bottom-up knowledge and locally-relevant drivers with top-down information from the global European SharedSocioeconomic Pathways (SSPs) and downscaled Representative Concentration Pathways (RCPs) from IPCC. A cross-sectorial andmulti-scale impact assessment modelling toolkit will be developed to analyse the complex interactions over multiple sectors,including an economic evaluation framework. The economic impact of the different efforts will be analyse, including damage claimsettlement and how do sectoral activity patterns change under various scenarios considering indirect and cascading effects. It is aninnovative project combining three key concepts: cross-scale, integration/harmonization and robustness checking. DISTENDER willfollow a pragmatic approach applying methodologies and toolkits across a range of European case studies (six core case studies andfive followers) that reflect a cross-section of the challenges posed by CC adaptation and mitigation. The knowledge generated byDISTENDER will be offered by a Decision Support System (DSS) which will include guidelines, manuals, easy-to-use tools andexperiences from the application of the cases studies.
