22 research outputs found

    Tethered Satellites as Enabling Platforms for an Operational Space Weather Monitoring System

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    Space weather nowcasting and forecasting models require assimilation of nearreal time (NRT) space environment data to improve the precision and accuracy of operational products. Typically, these models begin with a climatological model to provide "most probable distributions" of environmental parameters as a function of time and space. The process of NRT data assimilation gently pulls the climate model closer toward the observed state (e.g. via Kalman smoothing) for nowcasting, and forecasting is achieved through a set of iterative physicsbased forwardprediction calculations. The issue of required space weather observatories to meet the spatial and temporal requirements of these models is a complex one, and we do not address that with this poster. Instead, we present some examples of how tethered satellites can be used to address the shortfalls in our ability to measure critical environmental parameters necessary to drive these space weather models. Examples include very long baseline electric field measurements, magnetized ionospheric conductivity measurements, and the ability to separate temporal from spatial irregularities in environmental parameters. Tethered satellite functional requirements will be presented for each space weather parameter considered in this study

    Best practice framework for Patient and Public Involvement (PPI) in collaborative data analysis of qualitative mental health research: methodology development and refinement

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    Background Patient and Public Involvement (PPI) in mental health research is increasing, especially in early (pre-funding) stages. PPI is less consistent in later stages, including in analysing qualitative data. The aims of this study were to develop a methodology for involving PPI co-researchers in collaboratively analysing qualitative mental health research data with academic researchers, to pilot and refine this methodology, and to create a best practice framework for collaborative data analysis (CDA) of qualitative mental health research. Methods In the context of the RECOLLECT Study of Recovery Colleges, a critical literature review of collaborative data analysis studies was conducted, to identify approaches and recommendations for successful CDA. A CDA methodology was developed and then piloted in RECOLLECT, followed by refinement and development of a best practice framework. Results From 10 included publications, four CDA approaches were identified: (1) consultation, (2) development, (3) application and (4) development and application of coding framework. Four characteristics of successful CDA were found: CDA process is co-produced; CDA process is realistic regarding time and resources; demands of the CDA process are manageable for PPI co-researchers; and group expectations and dynamics are effectively managed. A four-meeting CDA process was piloted to o-produce a coding framework based on qualitative data collected in RECOLLECT and to create a mental health service user-defined change model relevant to Recovery Colleges. Formal and informal feedback demonstrated active involvement. The CDA process involved an extra 80 person-days of time (40 from PPI coresearchers, 40 from academic researchers).The process was refined into a best practice framework comprising Preparation, CDA and Application phases. Conclusions This study has developed a typology of approaches to collaborative analysis of qualitative data in mental health research, identified from available evidence the characteristics of successful involvement, and developed, piloted and refined the first best practice framework for collaborative analysis of qualitative data. This framework has the potential to support meaningful PPI in data analysis in the context of qualitative mental health research studies, a previously neglected yet central part of the research cycle

    Healing houses systematic review: design, sustainability, opportunities and barriers facing Soteria and peer respite development

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    BackgroundSoteria houses and peer respites, collectively called Healing Houses, are alternatives to psychiatric hospitalisation.AimsThe aim of this research is to review Healing Houses in relation to design characteristics (architectural and service), sustainability and development opportunities and barriers.MethodsThis systematic review followed a PROSPERO protocol (CRD42022378089). Articles were identified from journal database searches, hand searching websites, google scholar searches, expert consultation and backwards and forward citation searches.Results849 documents were screened in three languages (English, German and Hebrew) and 45 documents were included from seven countries. The review highlights 11 architectural design characteristics (atmosphere, size, soft room, history, location, outdoor space, cleanliness, interior design, facilities, staff only areas and accessibility), 6 service design characteristics (guiding principles, living and working together, consensual treatment, staff, supporting personal meaning making and power), 5 opportunities (outcomess, human rights, economics, hospitalization and underserved) and 4 types of barriers (clinical, economic and regulatory, societal and ideological). The primary sustainability issue was long-term funding.ConclusionsFuture research should focus on operationalizing a ‘home-like’ atmosphere and the impact of design features such as green spaces on wellbeing of staff and service users. Future research could also produce design guidelines for Healing Houses

    Uses and Misuses of Recorded Mental Health Lived Experience Narratives in Healthcare and Community Settings: Systematic Review

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    Mental health lived experience narratives are first- person accounts of people with experience of mental health problems. They have been published in journals, books and online, and used in healthcare interventions and anti-stigma campaigns. There are concerns about their potential misuse. A four-language systematic re- view was conducted of published literature characterizing uses and misuses of mental health lived experience nar- ratives within healthcare and community settings. 6531 documents in four languages (English, Danish, Swedish, Norwegian) were screened and 78 documents from 11 countries were included. Twenty-seven uses were iden- tified in five categories: political, societal, community, service level and individual. Eleven misuses were found, categorized as relating to the narrative (narratives may be co-opted, narratives may be used against the author, narratives may be used for different purpose than autho- rial intent, narratives may be reinterpreted by others, narratives may become patient porn, narratives may lack diversity), relating to the narrator (narrator may be sub- ject to unethical editing practises, narrator may be sub- ject to coercion, narrator may be harmed) and relating to the audience (audience may be triggered, audience may misunderstand). Four open questions were identified: does including a researcher’s personal mental health narrative reduce the credibility of their research?: should the con- fidentiality of narrators be protected?; who should profit from narratives?; how reliable are narratives as evidence?
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