Qualitative data analysis presents challenges in relation to the volume and complexity of data obtained and the need to present an 'audit trail' for those using the research findings. Framework Analysis is an appropriate, rigorous and systematic method for undertaking qualitative analysis.

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BackgroundCleft palate (CP) has an incidence of approximately 1 in 700. Children with CP are also susceptible to otitis media with effusion (OME), with approximately 90% experiencing nontrivial OME. There are several approaches to the management of OME in children with CP. The Management of Otitis Media with Effusion in Children with Cleft Palate (MOMENT) study is a feasibility study that includes the development of a core outcome set for use in future trials of the management of OME in children with CP.Methods/DesignThe MOMENT study will include a systematic review of the literature to identify a list of outcomes that have previously been reported. This list of outcomes will be used in a Delphi study with cleft clinicians. The Delphi study is anticipated to include three rounds. The first round will ask clinicians to score the outcome list and to add any outcomes they think are relevant. The second round involves presentation of scores according to stakeholder group and the opportunity for participants to rescore outcomes. To ensure that the opinion of parents and children are sought, qualitative interviews will be completed with a purposive sample in parallel. In the final round of the Delphi process, participants will be shown the distribution of scores, for each outcome, for all stakeholder groups separately as well as a summary of the results concerning outcomes from the qualitative interviews with parents. A final consensus meeting will be held with all stakeholders, including parents and children, to review outcomes.DiscussionA core outcome set represents the minimum that should be measured in a clinical trial for a particular condition. The MOMENT study will aim to identify a core outcome set that can be used in future trials of the management of OME, improving the consistency of research in this clinical area.

Background: Social prescribing is a way of addressing the 'non-medical' needs (e.g. loneliness, debt, housing problems) that can affect people's health and well-being. Connector schemes (e.g. delivered by care navigators or link workers) have become a key component to social prescribing's delivery. Those in this role support patients by either (a) signposting them to relevant local assets (e.g. groups, organisations, charities, activities, events) or (b) taking time to assist them in identifying and prioritising their 'non-medical' needs and connecting them to relevant local assets. To understand how such connector schemes work, for whom, why and in what circumstances, we conducted a realist review. Method: A search of electronic databases was supplemented with Google alerts and reference checking to locate grey literature. In addition, we sent a Freedom of Information request to all Clinical Commissioning Groups in England to identify any further evaluations of social prescribing connector schemes. Included studies were from the UK and focused on connector schemes for adult patients (18+ years) related to primary care. Results: Our searches resulted in 118 included documents, from which data were extracted to produce contextmechanism-outcome configurations (CMOCs). These CMOCs underpinned our emerging programme theory that centred on the essential role of 'buy-in' and connections. This was refined further by turning to existing theories on (a) social capital and (b) patient activation. Conclusion: Our realist review highlights how connector roles, especially link workers, represent a vehicle for accruing social capital (e.g. trust, sense of belonging, practical support). We propose that this then gives patients the confidence, motivation, connections, knowledge and skills to manage their own well-being, thereby reducing their reliance on GPs. We also emphasise within the programme theory situations that could result in unintended consequences (e.g. increased demand on GPs).

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