Technology for dementia care: what would good technology look like and do, from carers' perspectives?

BACKGROUND: The development of technology in dementia care has largely been without consultation with carers, and has primarily focused on safety, monitoring devices, and supporting activities of daily living. Further, while involving end-users in the design of technology has been recommended, this is yet to become common practice. METHOD: We conducted a mixed methods study with the aim of investigating carers' values and priorities for technology development, including prior experiences, barriers to use, and what they would like technology to do. Importantly, we asked carers for their design ideas and bespoke technology solutions for future development. RESULTS: Carers of people living with dementia (N = 127), including both unpaid (n = 102) and paid carers (n = 25) residing in Australia, completed an online survey. In addition, a subsample of carers (n = 23) participated in semi-structured interviews. Findings demonstrate that carers want technology to be person-centred, customisable, and to increase opportunities for meaningful social connection. Findings also demonstrate the ability of carers to generate creative design solutions for dementia care. CONCLUSIONS: These findings and implications will be discussed in relation to the importance of co-design with carers and engineers during the design phase of assistive technology. Also, the importance of technology to enhance, not replace, human-to-human social interactions is highlighted.

Machine learning identifies a COVID-19-specific phenotype in university students using a mental health app.

Background: Advances in smartphone technology have allowed people to access mental healthcare via digital apps from wherever and whenever they choose. University students experience a high burden of mental health concerns. Although these apps improve mental health symptoms, user engagement has remained low. Studies have shown that users can be subgrouped based on unique characteristics that just-in-time adaptive interventions (JITAIs) can use to improve engagement. To date, however, no studies have examined the effect of the COVID-19 pandemic on these subgroups. Objective: Here, we sought to examine user subgroup characteristics across three COVID-19-specific timepoints: during lockdown, immediately following lockdown, and three months after lockdown ended. Methods: To do this, we used a two-step machine learning approach combining unsupervised and supervised machine learning. Results: We demonstrate that there are three unique subgroups of university students who access mental health apps. Two of these, with either higher or lower mental well-being, were defined by characteristics that were stable across COVID-19 timepoints. The third, situational well-being, had characteristics that were timepoint-dependent, suggesting that they are highly influenced by traumatic stressors and stressful situations. This subgroup also showed feelings and behaviours consistent with burnout. Conclusions: Overall, our findings clearly suggest that user subgroups are unique: they have different characteristics and therefore likely have different mental healthcare goals. Our findings also highlight the importance of including questions and additional interventions targeting traumatic stress(ors), reason(s) for use, and burnout in JITAI-style mental health apps to improve engagement.

Protocol for a bandit-based response adaptive trial to evaluate the effectiveness of brief self-guided digital interventions for reducing psychological distress in university students: the Vibe Up study.

INTRODUCTION: Meta-analytical evidence confirms a range of interventions, including mindfulness, physical activity and sleep hygiene, can reduce psychological distress in university students. However, it is unclear which intervention is most effective. Artificial intelligence (AI)-driven adaptive trials may be an efficient method to determine what works best and for whom. The primary purpose of the study is to rank the effectiveness of mindfulness, physical activity, sleep hygiene and an active control on reducing distress, using a multiarm contextual bandit-based AI-adaptive trial method. Furthermore, the study will explore which interventions have the largest effect for students with different levels of baseline distress severity. METHODS AND ANALYSIS: The Vibe Up study is a pragmatically oriented, decentralised AI-adaptive group sequential randomised controlled trial comparing the effectiveness of one of three brief, 2-week digital self-guided interventions (mindfulness, physical activity or sleep hygiene) or active control (ecological momentary assessment) in reducing self-reported psychological distress in Australian university students. The adaptive trial methodology involves up to 12 sequential mini-trials that allow for the optimisation of allocation ratios. The primary outcome is change in psychological distress (Depression, Anxiety and Stress Scale, 21-item version, DASS-21 total score) from preintervention to postintervention. Secondary outcomes include change in physical activity, sleep quality and mindfulness from preintervention to postintervention. Planned contrasts will compare the four groups (ie, the three intervention and control) using self-reported psychological distress at prespecified time points for interim analyses. The study aims to determine the best performing intervention, as well as ranking of other interventions. ETHICS AND DISSEMINATION: Ethical approval was sought and obtained from the UNSW Sydney Human Research Ethics Committee (HREC A, HC200466). A trial protocol adhering to the requirements of the Guideline for Good Clinical Practice was prepared for and approved by the Sponsor, UNSW Sydney (Protocol number: HC200466_CTP). TRIAL REGISTRATION NUMBER: ACTRN12621001223820.

Nurses' harm prevention practices during admission of an older person to the hospital: A multi-method qualitative study.

BACKGROUND: Nurses' harm prevention practices during the admission of older persons to hospital have important consequences for patient safety, preventable patient harm and length of hospital stay. Novel solutions are needed to assist nurses to balance complexity, high workload burden and patient safety during admission processes. AIM: Explore the nurses' experiences of harm prevention practices during the admission of an older person to the hospital. DESIGN: A multi-method qualitative study informed by frameworks of behaviour change and human-centred co-design. METHODS: The purposive sample included 44 nurses, 5 clinicians from other disciplines and 3 consumers recruited from five general medicine wards across three hospitals of a large public health service in metropolitan Melbourne, Australia. Data were collected over 12 h of naturalistic observations of nurses during eight patient admissions, and during four participatory human-centred co-design workshops between August 2019 and January 2020. Observation, field notes and workshop artefact data were integrated for qualitative content and thematic analysis. RESULTS: Analysis revealed a 5-step journey map, with a temporal logic, that captured nurses' experiences, as well as the enablers and barriers to harm prevention practices when admitting an older person to the hospital. The consensus was reached on three priority features to assist nurses to implement harm prevention practices when they admit an older person to the hospital: (1) prioritize important care; (2) tailor care to the individual and (3) see the big picture for the patient. CONCLUSION: The novel research approach identified five steps in nurses' activities and harm prevention practices during admission of an older person to the hospital, and key features for a solution to assist nurses to keep patients safe. The findings provide the foundation for further research to develop interventions to assist nurses to manage high workloads during this complex activity.

Nursing guidelines for comprehensive harm prevention strategies for adult patients in acute hospitals: An integrative review and synthesis.

BACKGROUND: Harm prevention research has seldom considered the complex demands on nurses negotiating multiple interrelated factors that contribute to preventable harms common in hospitalized patients. Best practice guidelines are available for individual risk factors, but few consider multiple factors that contribute to risk. As a consequence, duplication, contradiction, gaps, and volume of information limit harm prevention guideline use by nurses in daily practice. OBJECTIVES: To systematically synthesise best-evidence recommendations from clinical practice guidelines to support nurses to deliver comprehensive harm prevention during acute hospitalization. DESIGN: An integrative review process was used to systematically identify, examine, evaluate and synthesise clinical nursing guidelines to prevent harm to hospitalized patients. METHODS: The search strategy developed with an expert librarian used a combination of targeted searching for guidelines published on websites, and forward and backward citation searching. Guidelines included were those most recently published, relevant to the international nursing context, and addressing one or more of eight factors contributing to preventable harms. The AGREE-REX (Appraisal of Guidelines Research and Evaluation-Recommendations Excellence) tool was used for critical appraisal of guidelines regarding appropriateness to target users (i.e., nurses), trustworthiness, and implementable in acute hospitals. EndNote and NVIVO 12 were used to manage the high volume of extracted data and facilitate analysis. Analyses involved using the framework method to code data for relevance to an eight-factor harm prevention framework; steps for inductive thematic analyses were used for synthesis. Iterations of the thematic model were refined by sharing with hospital patient safety experts, who endorsed the final model. RESULTS: 154 guidelines met inclusion criteria, providing 7,429 recommendations. Synthesis involved mapping of recommendations across the eight-factor framework that informed a hierarchy of risk for harm prevention activity. Six themes represented nursing care strategies across the eight-factors that could be integrated into local practice contexts. The themes are framed into a model for nurse comprehensive harm prevention. CONCLUSIONS: The complexity and volume of guidance for comprehensive harm prevention necessitates contemporaneous, integrated, and accessible guidance to support nurses' decision-making in their daily care provision. This research provides an integrated model to assist nurses to identify patients most vulnerable to multiple preventable harms during hospitalization and guide a comprehensive harm prevention strategy to keep them safe in hospital. TWEETABLE ABSTRACT: Review of nursing guidelines generates integrated model to help identify patients most vulnerable to multiple preventable harms during hospitalization.