L. A review and meta-analysis of the patient factors associated with psychiatric in-patient aggression.Objective: To combine the results of earlier comparison studies of inpatient aggression to quantitatively assess the strength of the association between patient factors and i) aggressive behaviour,ii) repetitive aggressive behaviour. Method: A systematic review and meta-analysis of empirical articles and reports of comparison studies of aggression and non-aggression within adult psychiatric in-patient settings. Results: Factors that were significantly associated with in-patient aggression included being younger, male, involuntary admissions, not being married, a diagnosis of schizophrenia, a greater number of previous admissions, a history of violence, a history of self-destructive behaviour and a history of substance abuse. The only factors associated with repeated in-patient aggression were not being male, a history of violence and a history of substance abuse. Conclusion: By comparing aggressive with non-aggressive patients, important differences between the two populations may be highlighted. These differences may help staff improve predictions of which patients might become aggressive and enable steps to be taken to reduce an aggressive incident occurring using actuarial judgements. However, the associations found between these actuarial factors and aggression were small. It is therefore important for staff to consider dynamic factors such as a patient's current state and the context to reduce in-patient aggression. Summations• Psychiatric in-patients who are younger, male, admitted involuntarily, not married, have a diagnosis of schizophrenia, have a greater number of previous admissions, a history of violence, a history of self-destructive behaviour and a history of substance abuse were more likely to be aggressive than non-aggressive during their stay.• Psychiatric in-patients who are female and have a history of substance abuse or a history of violence were more likely to be repetitively aggressive than aggressive once during their stay. Considerations• The associations between patient characteristics and aggression were small suggesting that other factors may be helpful in predicting aggression.• There were significantly high levels of heterogeneity across the articles entered into most of the metaanalyses.• A relatively small number of comparison studies were found relative to the number of publications on in-patient aggression suggesting that this is an underused study design.

This review underscores the influence that staff have in making in-patient psychiatric wards safe and efficacious environments.

Accessible summaryIn the previous paper we described a model explaining differences in rates of conflict and containment between wards, grouping causal factors into six domains: the staff team, the physical environment, outside hospital, the patient community, patient characteristics and the regulatory framework.This paper reviews and evaluates the evidence for the model from previously published research.The model is supported, but the evidence is not very strong. More research using more rigorous methods is required in order to confirm or improve this model.AbstractIn a previous paper, we described a proposed model explaining differences in rates of conflict (aggression, absconding, self-harm, etc.) and containment (seclusion, special observation, manual restraint, etc.). The Safewards Model identified six originating domains as sources of conflict and containment: the patient community, patient characteristics, the regulatory framework, the staff team, the physical environment, and outside hospital. In this paper, we assemble the evidence underpinning the inclusion of these six domains, drawing upon a wide ranging review of the literature across all conflict and containment items; our own programme of research; and reasoned thinking. There is good evidence that the six domains are important in conflict and containment generation. Specific claims about single items within those domains are more difficult to support with convincing evidence, although the weight of evidence does vary between items and between different types of conflict behaviour or containment method. The Safewards Model is supported by the evidence, but that evidence is not particularly strong. There is a dearth of rigorous outcome studies and trials in this area, and an excess of descriptive studies. The model allows the generation of a number of different interventions in order to reduce rates of conflict and containment, and properly conducted trials are now needed to test its validity.

BackgroundThe prevalence of type 2 diabetes is increasing globally, and health services in many countries are struggling with the morbidity, mortality, and costs associated with the complications of this long-term condition. Diabetes self-management education (DSME) and behavioral support can reduce the risks of developing diabetes-related complications and improve glycemic control. However, their uptake is low. Digital health interventions (DHI) can provide sustained support and may overcome challenges associated with attending diabetes self-management sessions. They have the potential for delivery at multiple locations at convenient times, anonymity, and presentation of content in attractive and tailored formats. This study investigates the needs and wants of patients with type 2 diabetes to inform the development of digital self-management education and support.ObjectiveThe objective of this study was to explore patient perspectives on unmet needs for self-management and support and the role of DHI in adults living with type 2 diabetes.MethodsThis study used a qualitative approach based on data generated from 4 focus groups with 20 patients.ResultsThe data generated by the focus groups illustrated the significant burden that the diagnosis of diabetes places on many patients and the negative impacts on their emotional well-being, work, social life, and physical health. Although patients’ experiences of the health care services varied, there was agreement that even the best services were unable to meet all users’ needs to support the emotional regulation, psychological adjustment, and behavioral changes needed for successful self-management.ConclusionsBy focusing on medical management and information provision, existing health care services and education programs may not be adequately meeting all the needs of patients with type 2 diabetes. DHIs have the potential to improve access to DSME and behavioral support and extend the range of content offered by health services to fit with a wider range of patient needs. Features that could help DHIs address some of the unmet needs described by participants in this study included placing an emphasis on emotional and role management, being available at all times, having up-to-date evidence-based guidance for patients, and providing access to peer-generated and professional advice.

BackgroundEvidence on how to implement new interventions into complex healthcare environments is often poorly reported and indexed, reducing its potential to inform initiatives to improve healthcare services. Using the implementation of a digital intervention within routine National Health Service (NHS) practice, we provide an example of how to develop a theoretically based implementation plan and how to report it transparently. In doing so we also highlight some of the challenges to implementation in routine healthcare.MethodsThe implemented intervention was HeLP-Diabetes, a digital self-management programme for people with Type 2 Diabetes, which was effective in improving diabetes control. The target setting for the implementation was an inner city London Clinical Commissioning Group in the NHS comprised of 34 general practices. HeLP-Diabetes was designed to be offered to patients as part of routine diabetes care across England. Evidence synthesis, engagement of local stakeholders, a theory of implementation (Normalization Process Theory), feedback, qualitative interviews and usage data were used to develop an implementation plan.ResultsA new implementation plan was developed to implement HeLP-Diabetes within routine practice. Individual component strategies were selected and developed informed by Normalization Process Theory. These strategies included: engagement of local opinion leaders, provision of educational materials, educational visits, educational meetings, audit and feedback and reminders. Additional strategies were introduced iteratively to address barriers that arose during the implementation. Barriers largely related to difficulties in allocating resources to implement the intervention within routine care.ConclusionThis paper provides a worked example of implementing a digital health intervention. The learning from this work can inform others undertaking the work of planning and executing implementation activities in routine healthcare. Of particular importance is: the selection of appropriate theory to guide the implementation process and selection of strategies; ensuring that enough attention is paid to planning implementation; and a flexible approach that allows response to emerging barriers.Electronic supplementary materialThe online version of this article (10.1186/s12913-018-3615-7) contains supplementary material, which is available to authorized users.

ObjectiveTo determine the effectiveness of a web-based self-management programme for people with type 2 diabetes in improving glycaemic control and reducing diabetes-related distress.Methods and designIndividually randomised two-arm controlled trial.Setting21 general practices in England.ParticipantsAdults aged 18 or over with a diagnosis of type 2 diabetes registered with participating general practices.Intervention and comparatorUsual care plus either Healthy Living for People with Diabetes (HeLP-Diabetes), an interactive, theoretically informed, web-based self-management programme or a simple, text-based website containing basic information only.Outcomes and data collectionJoint primary outcomes were glycated haemoglobin (HbA1c) and diabetes-related distress, measured by the Problem Areas in Diabetes (PAID) scale, collected at 3 and 12 months after randomisation, with 12 months the primary outcome point. Research nurses, blind to allocation collected clinical data; participants completed self-report questionnaires online.AnalysisThe analysis compared groups as randomised (intention to treat) using a linear mixed effects model, adjusted for baseline data with multiple imputation of missing values.ResultsOf the 374 participants randomised between September 2013 and December 2014, 185 were allocated to the intervention and 189 to the control. Final (12 month) follow-up data for HbA1c were available for 318 (85%) and for PAID 337 (90%) of participants. Of these, 291 (78%) and 321 (86%) responses were recorded within the predefined window of 10–14 months. Participants in the intervention group had lower HbA1c than those in the control (mean difference −0.24%; 95% CI −0.44 to −0.049; p=0.014). There was no significant overall difference between groups in the mean PAID score (p=0.21), but prespecified subgroup analysis of participants who had been more recently diagnosed with diabetes showed a beneficial impact of the intervention in this group (p = 0.004). There were no reported harms.ConclusionsAccess to HeLP-Diabetes improved glycaemic control over 12 months.Trial registration numberISRCTN02123133.

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This mixed-method study assessed the impact of an internet-based, self-management intervention (“HeLP-Diabetes”) on the psychological well-being of adults with type 2 diabetes. Nineteen participants were recruited from 3 general practices. Data were collected at baseline and at 6 weeks follow-up. Access to HeLP-Diabetes was associated with a significant decrease in participants' diabetes-related distress (Z = 2.04, p = 0.04, and d = 0.28). No significant differences were found in emotional distress or self-efficacy. The qualitative data found that participants reported improvements including increased self-efficacy and support, better management of low mood, greater diabetes awareness, and taking the condition more seriously. Participants also reported making improvements to their eating habits, exercise routine, and medical management. Some negative experiences associated with using the intervention were mentioned including feelings of guilt for not using the intervention as suggested or not making any behavioral changes, as well as technical and navigational frustrations with the intervention. Internet-based self-management interventions may have the potential to decrease diabetes-related distress in people with type 2 diabetes. The qualitative data also suggests internet interventions can positively impact both psychological and behavioural outcomes of adults with type 2 diabetes.