Using the Double Diamond model to co-design a dementia caregivers telehealth peer support program

The development of a family-led novel intervention for delirium prevention and management in the adult intensive care unit: A co-design qualitative study

AIM

The aim of this study was to codesign a Family Members' Voice Reorientation Intervention (FAMVR) for delirium prevention and management in critically ill adult patients through collaborative process with previous patients, families, and clinical staff.

BACKGROUND

Delirium is a common consequence of intensive care admission, and there is limited evidence to support family-led interventions to prevent or minimise delirium in intensive care. People with lived experience of intensive care are seldom involved in codesigning delirium prevention and management interventions despite the identified benefits of their involvement in delirium care.

DESIGN

Codesign qualitative study.

METHODS

The process of co-designing was undertaken using the four stages of the Double Diamond model. Participants included people with lived experience of the intensive care unit, family members, and intensive care clinicians. The codesign approach was utilised, and data were gathered from a series of focus groups and individual interviews. Data were digitally recorded, transcribed verbatim, and analysed using thematic analysis.

FINDINGS

Of the 26 people who indicated their interest in participating, 12 (46%) completed the first and second stages, and nine (35%) completed the third and fourth stages of the Family Members' Voice Reorientation Intervention development. All participant groups were represented in the fourth stage: patients (n = 4), family members (n = 1), nurses (n = 2), and medical staff (n = 2). Four themes were identified: message content, wording, reactions, and tone, all of which informed the prototype of the intervention and its associated domains.

CONCLUSION

A codesign approach was important for developing a delirium management intervention. This process enabled participants to provide their feedback in the context of their unique experiences, which in turn enhanced the authenticity and appropriateness of this unique intervention.

A systematic review of digital access to post-diagnostic health and social care services for dementia

OBJECTIVES

For many people with dementia and unpaid carers, using technology for care and support has become essential. Rapid proliferation of technology highlights the need to understand digital access to health and social care services for dementia. This mixed-methods systematic review aims to explore digital access to health and social care services for dementia, from the perspective of people with dementia and unpaid carers.

METHODS

Nine electronic databases were searched in May 2023 for qualitative, quantitative, or mixed-method studies, published in English or German, focused on experiences of using technology-delivered health and social care services for people with dementia and unpaid carers. After removal of duplicates and screening, 44 empirical papers were included.

RESULTS

From the 44 studies, findings were grouped into five categories, highlighting experiences for people with dementia and unpaid carers: (1) Adapting to technology, (2) Inequalities and variations in outcomes, (3) Impact on caring, (4) Impact on health, and (5) Impact on relationships. Proliferation of technology in care access emphasised the need for quick adaptation to technology and examination of its impact. The impact of such service delivery has evidenced mixed findings. There were improvements in the health and wellbeing of people with dementia and unpaid carers, and benefits for their dyadic relationship. However, using technology for health and social care access is not always possible and is often reliant on unpaid carers for support. Lower tech-literacy, lack of equipment or money to buy equipment and poor internet connection can impact the potential for positive outcomes.

CONCLUSIONS

Technology can bring great benefits: social inclusion, improved service access and care. However, using technology in service delivery in dementia needs careful thought. Professionals and service providers need to be cognizant of the complex nature of dementia, and the benefits and challenges of hybrid service delivery.

Patient and Public Involvement in Technology-Related Dementia Research: Scoping Review

BACKGROUND

Technology-related research on people with dementia and their carers often aims to enable people to remain living at home for longer and prevent unnecessary hospital admissions. To develop person-centered, effective, and ethical research, patient and public involvement (PPI) is necessary, although it may be perceived as more difficult with this cohort. With recent and rapid expansions in health and care-related technology, this review explored how and with what impact collaborations between researchers and stakeholders such as people with dementia and their carers have taken place.

OBJECTIVE

This review aims to describe approaches to PPI used to date in technology-related dementia research, along with the barriers and facilitators and impact of PPI in this area.

METHODS

A scoping review of literature related to dementia, technology, and PPI was conducted using MEDLINE, PsycINFO, Embase, and CINAHL. Papers were screened for inclusion by 2 authors. Data were then extracted using a predesigned data extraction table by the same 2 authors. A third author supported the resolution of any conflicts at each stage. Barriers to and facilitators of undertaking PPI were then examined and themed.

RESULTS

The search yielded 1694 papers, with 31 (1.83%) being analyzed after screening. Most (21/31, 68%) did not make clear distinctions between activities undertaken as PPI and those undertaken by research participants, and as such, their involvement did not fit easily into the National Institute for Health and Care Research definition of PPI. Most of this mixed involvement focused on reviewing or evaluating technology prototypes. A range of approaches were described, most typically using focus groups or co-design workshops. In total, 29% (9/31) described involvement at multiple stages throughout the research cycle, sometimes with evidence of sharing decision-making power. Some (23/31, 74%) commented on barriers to or facilitators of effective PPI. The challenges identified often regarded issues of working with people with significant cognitive impairments and pressures on time and resources. Where reported, the impact of PPI was largely reported as positive, including the experiences for patient and public partners, the impact on research quality, and the learning experience it provided for researchers. Only 4 (13%) papers used formal methods for evaluating impact.

CONCLUSIONS

Researchers often involve people with dementia and other stakeholders in technology research. At present, involvement is often limited in scope despite aspirations for high levels of involvement and partnership working. Involving people with dementia, their carers, and other stakeholders can have a positive impact on research, patient and public partners, and researchers. Wider reporting of methods and facilitative strategies along with more formalized methods for recording and reporting on meaningful impact would be helpful so that all those involved-researchers, patients, and other stakeholders-can learn how we can best conduct research together.

Design as a quality improvement strategy: The case for design expertise

Bad design in safety-critical environments like healthcare can lead to users being frustrated, excluded or injured. In contrast, good design can make it easier to use a service correctly, with impacts on both the safety and efficiency of healthcare delivery, as well as the experience of patients and staff. The participative dimension of design as an improvement strategy has recently gained traction in the healthcare quality improvement literature. However, the role of design expertise and professional design has been much less explored. Good design does not happen by accident: it takes expertise and the specific reasoning that expert designers develop through practical experience and training. Here, we define design, show why poor design can be disastrous and illustrate the benefits of good design. We argue for the recognition of distinctive design expertise and describe some of its characteristics. Finally, we discuss how design could be better promoted in healthcare improvement.

The HUSH Project: Using codesign to reduce sleep disruptions for patients in hospital

BACKGROUND

Poor quality sleep in hospitals may be problematic for patients, negatively impacting their recovery and wellbeing. This project aimed to investigate the effectiveness of codesign in addressing key issues affecting sleep disruption in the healthcare setting.

METHODS

Codesign with patients, staff and consumer representatives was conducted in an acute metropolitan tertiary public hospital in Sydney, Australia. Through a four-stage process, a multimodal intervention to address and reduce the impact of sleep disruptions among hospital inpatients was created. Pre- and post-intervention evaluation was used to determine changes in patient-reported sleep disruption.

RESULTS

'The HUSH Project' (Help Us Support Healing) intervention resulted from the codesign process, which included the provision of HUSH Sleep Packs (with earplugs, eye masks and herbal tea), patient information resources, and ward-based Sleep Champions. Survey data from 210 patients revealed a statistically significant decrease in patient-reported noise disturbances for patients in shared rooms following the 4-week intervention period of the HUSH program.

CONCLUSION

The HUSH Project demonstrated that a novel multimodal intervention may be valuable in reducing sleep disruption in hospitals. These findings also indicate the benefits of using codesign methodology to support improvement projects that seek to enhance patient experiences of care.

PATIENT OR PUBLIC CONTRIBUTION

This project utilised codesign methodology, which involved significant contributions from patients and consumer representatives, from research conceptualisation into intervention design, implementation and project evaluation.

Clinical Needs Assessment of a Machine Learning-Based Asthma Management Tool: User-Centered Design Approach

BACKGROUND

Personalized asthma management depends on a clinician's ability to efficiently review patient's data and make timely clinical decisions. Unfortunately, efficient and effective review of these data is impeded by the varied format, location, and workflow of data acquisition, storage, and processing in the electronic health record. While machine learning (ML) and clinical decision support tools are well-positioned as potential solutions, the translation of such frameworks requires that barriers to implementation be addressed in the formative research stages.

OBJECTIVE

We aimed to use a structured user-centered design approach (double-diamond design framework) to (1) qualitatively explore clinicians' experience with the current asthma management system, (2) identify user requirements to improve algorithm explainability and Asthma Guidance and Prediction System prototype, and (3) identify potential barriers to ML-based clinical decision support system use.

METHODS

At the "discovery" phase, we first shadowed to understand the practice context. Then, semistructured interviews were conducted digitally with 14 clinicians who encountered pediatric asthma patients at 2 outpatient facilities. Participants were asked about their current difficulties in gathering information for patients with pediatric asthma, their expectations of ideal workflows and tools, and suggestions on user-centered interfaces and features. At the "define" phase, a synthesis analysis was conducted to converge key results from interviewees' insights into themes, eventually forming critical "how might we" research questions to guide model development and implementation.

RESULTS

We identified user requirements and potential barriers associated with three overarching themes: (1) usability and workflow aspects of the ML system, (2) user expectations and algorithm explainability, and (3) barriers to implementation in context. Even though the responsibilities and workflows vary among different roles, the core asthma-related information and functions they requested were highly cohesive, which allows for a shared information view of the tool. Clinicians hope to perceive the usability of the model with the ability to note patients' high risks and take proactive actions to manage asthma efficiently and effectively. For optimal ML algorithm explainability, requirements included documentation to support the validity of algorithm development and output logic, and a request for increased transparency to build trust and validate how the algorithm arrived at the decision. Acceptability, adoption, and sustainability of the asthma management tool are implementation outcomes that are reliant on the proper design and training as suggested by participants.

CONCLUSIONS

As part of our comprehensive informatics-based process centered on clinical usability, we approach the problem using a theoretical framework grounded in user experience research leveraging semistructured interviews. Our focus on meeting the needs of the practice with ML technology is emphasized by a user-centered approach to clinician engagement through upstream technology design.

Planning an artificial intelligence diabetic retinopathy screening program: a human-centered design approach

Diabetic retinopathy (DR) is a leading cause of vision loss in the United States and throughout the world. With early detection and treatment, sight-threatening sequelae from DR can be prevented. Although artificial intelligence (AI) based DR screening programs have been proven to be effective in identifying patients at high risk of vision loss, adoption of AI in clinical practice has been slow. We adapted the United Kingdom Design Council's Double-Diamond model to design a strategy for care delivery which integrates an AI-based screening program for DR into a primary care setting. Methods from human-centered design were used to develop a strategy for implementation informed by context-specific barriers and facilitators. The purpose of this community case study is to present findings from this work in progress, including a system of protocols, educational documents and workflows created using key stakeholder input.

Stories for Change: The impact of Public Narrative on the co-production process

INTRODUCTION

Involving service users in health service design and delivery is considered important to improve the quality of healthcare because it ensures that the delivery of healthcare is adapted to the needs of the users. Co-production is a process used to involve service users, but multiple papers have highlighted the need for the mechanisms and values guiding co-production to be more clearly stated. The aim of this paper was to evaluate the mechanisms and values that guided the co-production approach of the Stories for Change project, which used Public Narrative as part of the co-design process to create change in National Health Service maternity services.

METHODS

This study was conducted using a rapid feedback evaluation approach. Semistructured interviews (n = 16) were the main source of data, six of which were maternity service users, with observations (5 h) and documentary analysis also carried out in parallel. RREAL sheets were used for data analysis to organize data based on key topics of interest.

RESULTS

This study identified three broad mechanisms and values underpinning the co-production approach: creating an open and safe space to share ideas, learning how to tell stories using Public Narrative and having service providers who play a key role in strengthening the health system listen to stories compelling them to action. This study identified the main areas for improvement of the Stories for Change project related to recruitment, the inclusion of participants, the co-design process, the Skills Session and the Learning Event.

CONCLUSION

Our study provided a deeper understanding of the co-production approach that addresses the need to uncover the mechanism and values underlying co-production and co-design approaches. This study expands on the literature pertaining to the influence of storytelling in creating meaningful change in health care. We propose a co-design methodology that uses Public Narrative as a model for service user engagement to help inform future healthcare development processes.

PATIENT OR PUBLIC CONTRIBUTION

The experiences and perceptions of maternity service users and health professionals informed this evaluation. The project organizers were involved in the manuscript preparation stage by providing feedback, and service users wrote a commentary on the project from the lived experience perspective.

Identifying Potential Gamification Elements for A New Chatbot for Families With Neurodevelopmental Disorders: User-Centered Design Approach

Background

Chatbots have been increasingly considered for applications in the health care field. However, it remains unclear how a chatbot can assist users with complex health needs, such as parents of children with neurodevelopmental disorders (NDDs) who need ongoing support. Often, this population must deal with complex and overwhelming health information, which can make parents less likely to use a software that may be very helpful. An approach to enhance user engagement is incorporating game elements in nongame contexts, known as gamification. Gamification needs to be tailored to users; however, there has been no previous assessment of gamification use in chatbots for NDDs.

Objective

We sought to examine how gamification elements are perceived and whether their implementation in chatbots will be well received among parents of children with NDDs. We have discussed some elements in detail as the initial step of the project.

Methods

We performed a narrative literature review of gamification elements, specifically those used in health and education. Among the elements identified in the literature, our health and social science experts in NDDs prioritized five elements for in-depth discussion: goal setting, customization, rewards, social networking, and unlockable content. We used a qualitative approach, which included focus groups and interviews with parents of children with NDDs (N=21), to assess the acceptability of the potential implementation of these elements in an NDD-focused chatbot. Parents were asked about their opinions on the 5 elements and to rate them. Video and audio recordings were transcribed and summarized for emerging themes, using deductive and inductive thematic approaches.

Results

From the responses obtained from 21 participants, we identified three main themes: parents of children with NDDs were familiar with and had positive experiences with gamification; a specific element (goal setting) was important to all parents, whereas others (customization, rewards, and unlockable content) received mixed opinions; and the social networking element received positive feedback, but concerns about information accuracy were raised.

Conclusions

We showed for the first time that parents of children with NDDs support gamification use in a chatbot for NDDs. Our study illustrates the need for a user-centered design in the medical domain and provides a foundation for researchers interested in developing chatbots for populations that are medically vulnerable. Future studies exploring wide range of gamification elements with large number of potential users are needed to understand the impact of gamification elements in enhancing knowledge mobilization.

A Perspective on How User-Centered Design Could Improve the Impact of Self-Applied Psychological Interventions in Low- or Middle-Income Countries in Latin America

Global technological progress has generated alternatives for psychological assistance, both for the evaluation and for the treatment of different emotional disorders. Evidence suggests that Internet-based treatments are effective for the treatment of anxiety and depression disorders. However, in Latin America online treatments are still scarce compared to developed countries and have similar problems as developed countries, such as high dropout rate. One possible solution to help decrease the dropout rate is to design and develop online interventions based on the needs and characteristics of the users. The user-centered design (UCD) is a fundamental concept to develop successful online interventions. The objective of this article is to provide a perspective overview on how UCD could improve the impact of self-applied psychological interventions in low- or middle-income countries in Latin America; however this proposal can also be applied in low- and middle-income countries in other regions of the world. The literature on UCD has demonstrated its efficacy when properly applied in online interventions; however, it is not common to see how this methodology has been applied in research in online interventions, and regarding Latin America, this is even more scarce with a very limited number of articles implementing the principles of UCD.