The effects of non-clinician guidance on effectiveness and process outcomes of digital mental health interventions: A systematic review and meta-analysis. (Preprint)

BACKGROUND Digital mental health interventions are increasingly prevalent in the current context of rapidly evolving technology, and research indicates that they yield effectiveness outcomes comparable to in-person treatment. Integrating professionals (i.e. psychologists, physicians) into digital mental health interventions has been common, and the inclusion of guidance within programs can increase adherence to interventions. However, employing professionals to enhance mental health programs may undermine the scalability of digital interventions. Therefore, delegating guidance tasks to paraprofessionals (peer supporters, technicians, lay counsellors, or other non-clinicians) can help reduce costs and increase accessibility. OBJECTIVE This systematic review and meta-analysis evaluates the effectiveness, adherence, and other process outcomes of non-clinician guided digital mental health interventions. METHODS Four databases (MEDLINE, EMBASE, CINAHL, and PSYCInfo) were searched for randomized controlled trials published between 2010 and 2020 examining digital mental health interventions. Three journals focused on digital intervention were also hand searched and grey literature was searched using ProQuest and the Cochrane Central Register of Control Trials (CENTRAL). Two researchers independently assessed risk of bias using the Cochrane Risk of Bias Tool 2. Data were collected on effectiveness, adherence, and other process outcomes, and meta-analyses were conducted for effectiveness and adherence outcomes. Non-clinician guided interventions were compared with treatment as usual, clinician-guided interventions, and unguided interventions. RESULTS Thirteen studies qualified for inclusion. Results indicate that non-clinician guided interventions yielded higher post-treatment effectiveness outcomes when compared to conditions involving control programs (e.g. online psychoeducation, monitored attention control) or waitlist controls (k=7, Hedges g=-0.73 (95% CI -1.08 to -0.38)). There are significant differences between non-clinician guided interventions and unguided interventions as well (k=6, Hedges g=-0.17 (95% CI -0.23 to -0.11)). In addition, non-clinician guided interventions did not differ in effectiveness from clinician-guided interventions (k=3, Hedges g=0.08 (95% CI -0.01 to 0.17)). These results suggest that guided digital mental health interventions are helpful to improve mental health outcomes regardless of the qualification, and that the presence of a non-clinician guide improves effectiveness outcomes more than no guidance. Non-clinician guided interventions did not yield significantly different effects on adherence outcomes when compared with unguided interventions (k=3, OR 1.58 (95% CI 0.51 to 4.92)), although a general trend of improved adherence was observed within non-clinician guided interventions. CONCLUSIONS Integrating paraprofessionals and non-clinicians appear to improve outcomes of digital mental health interventions, and may also enhance adherence outcomes (though the trend was nonsignificant). Further research should focus on the specific types of tasks these paraprofessionals can successfully provide (i.e. psychosocial support, therapeutic alliance, technical augmentation) and their associated outcomes. CLINICALTRIAL The protocol is preregistered on PROSPERO (CRD42020191226).

Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters

Drop on demand (DoD) inkjet printing is a high precision, non-contact, and maskless additive manufacturing technique employed in producing high-precision micrometer-scaled geometries allowing free design manufacturing for flexible devices and printed electronics. A lot of studies exist regarding the ink droplet delivery from the nozzle to the substrate and the jet fluid dynamics, but the literature lacks systematic approaches dealing with the relationship between process parameters and geometrical outcome. This study investigates the influence of the main printing parameters (namely, the spacing between subsequent drops deposited on the substrate, the printing speed, and the nozzle temperature) on the accuracy of a representative geometry consisting of two interdigitated comb-shape electrodes. The study objective was achieved thanks to a proper experimental campaign developed according to Design of Experiments (DoE) methodology. The printing process performance was evaluated by suitable geometrical quantities extracted from the acquired images of the printed samples using a MATLAB algorithm. A drop spacing of 140 µm and 170 µm on the two main directions of the printing plane, with a nozzle temperature of 35 °C, resulted as the most appropriate parameter combination for printing the target geometry. No significant influence of the printing speed on the process outcomes was found, thus choosing the highest speed value within the investigated range can increase productivity.

Co-designing new tools for collecting, analysing and presenting patient experience data in NHS services: working in partnership with patients and carers

Background The way we collect and use patient experience data is vital to optimise the quality and safety of health services. Yet, some patients and carers do not give feedback because of the limited ways data is collected, analysed and presented. In this study, we worked together with researchers, staff, patient and carer participants, and patient and public involvement and engagement (PPIE) contributors, to co-design new tools for the collection and use of patient experience data in multiple health settings. This paper outlines how the range of PPIE and research activities enabled the co-design of new tools to collect patient experience data. Methods Eight public contributors represented a range of relevant patient and carer experiences in specialist services with varied levels of PPIE experience, and eleven members of Patient and Participation Groups (PPGs) from two general practices formed our PPIE group at the start of the study. Slide sets were used to trigger co-design discussions with staff, patient and carer research participants, and PPIE contributors. Feedback from PPIE contributors alongside verbatim quotes from staff, patient and carer research participants is presented in relation to the themes from the research data. Results PPIE insights from four themes: capturing experience data; adopting digital or non-digital tools; ensuring privacy and confidentiality; and co-design of a suite of new tools with guidance, informed joint decisions on the shaping of the tools and how these were implemented. Our PPIE contributors took different roles during co-design and testing of the new tools, which supported co-production of the study. Conclusions Our experiences of developing multiple components of PPIE work for this complex study demonstrates the importance of tailoring PPIE to suit different settings, and to maximise individual strengths and capacity. Our study shows the value of bringing diverse experiences together, putting patients and carers at the heart of improving NHS services, and a shared approach to managing involvement in co-design, with the effects shown through the research process, outcomes and the partnership. We reflect on how we worked together to create a supportive environment when unforeseen challenges emerged (such as, sudden bereavement).

Effectiveness of acute geriatric unit care on functional decline and process outcomes among older adults admitted to hospital with acute medical complaints: a protocol for a systematic review

IntroductionOlder adults are clinically heterogeneous and are at increased risk of adverse outcomes during hospitalisation due to the presence of multiple comorbid conditions and reduced homoeostatic reserves. Acute geriatric units (AGUs) are units designed with their own physical location and structure, which provide care to older adults during the acute phase of illness and are underpinned by an interdisciplinary comprehensive geriatric assessment model of care. This review aims to update and synthesise the totality of evidence related to the effectiveness of AGU care on clinical and process outcomes among older adults admitted to hospital with acute medical complaints.DesignUpdated systematic review and meta-analysisMethods and analysisMEDLINE, Cumulative Index of Nursing and Allied Health Literature, Controlled Trials in the Cochrane Library and Embase electronic databases will be systematically searched from 2008 to February 2021. Trials with a randomised design that deliver an AGU intervention to older adults admitted to hospital for acute medical complaints will be included. The primary outcome measure will be functional decline at discharge from hospital and at follow-up. Secondary outcomes will include length of stay, cost of index admission, incidence of unscheduled hospital readmission, living at home (the inverse of death or institutionalisation combined; used to describe someone who is in their own home at follow‐up), mortality, cognitive function and patient satisfaction with index admission. Title and abstract screening of studies for full-text extraction will be conducted independently by two authors. The Cochrane risk of bias 2 tool will be used to assess the methodological quality of the included trials. The quality of evidence for outcomes reported will be assessed using the Grading of Recommendations Assessment, Development and Evaluations framework. A pooled meta-analysis will be conducted using Review Manager, depending on the uniformity of the data.Ethics and disseminationFormal ethical approval is not required as all data collected will be secondary data and will be analysed anonymously. The authors will present the findings of the review to a patient and public involvement stakeholder panel of older adults that has been established at the Ageing Research Centre in the University of Limerick. This will enable the views and opinions of older adults to be integrated into the discussion section of the paper.PROSPERO registration numberCRD42021237633.

Using Realist Evaluation to Understand Process Outcomes in a COVID-19-Impacted Yoga Intervention Trial: A Worked Example

Realist evaluation offers a valuable way to understand how interventions function and thus how they can be improved and locally adapted. Consequently, realist evaluation is increasingly conducted in parallel with intervention trials. It comprises a clear philosophical foundation and view of causality, pragmatic mixed data collection methods, and a theory-driven approach in which hypothesised program theories are tested and refined. However, detailed methods for data analysis are seldom well-described in realist studies and no clear method for analysing and presenting realist evaluation data has yet emerged. In this methodological paper we use the worked example of our realist process evaluation of the SAGE yoga trial to illustrate an applied process of data analysis and presentation of findings. We show how we drew on other realist studies for ideas, provide examples of six key tasks involved in conducting a realist process evaluation (including coding data and structuring results) and describe strategies that did not work and our rationale for rejecting them. This detailed account of the decisions and methods that worked for us is intended to provide a practical and informed point of departure for researchers conducting a realist evaluation.