Patient Engagement in Medical Device Design: Refining the Essential Attributes of a Wearable, Pre-Void, Ultrasound Alarm for Nocturnal Enuresis

Caswell, Noreen; Kuru, Kaya; Ansell, Darren; Jones, Martin; Watkinson, Benjamin Jon; Leather, Peter; Lancaster, Andrew; Sugden, Paula; Briggs, Eleanor; Davies, Carl; Oh, Chooi; Bennett, Kina; DeGoede, C

doi:10.1007/s40290-019-00324-w

Cited by 13 publications

(18 citation statements)

References 28 publications

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“… 104 , 173 Other needs depend upon the type of user, for example those with severe insomnia 101 or people who are homeless, 174 and the practical/annoyance issues of using technologies. Wearable technologies tend to address a specific use case/health area, such as bedwetting 175 ; however, this could result in non‐scalable and 'silo' solutions. 176 …”

Section: Resultsmentioning

confidence: 99%

Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice

Zidaru

Morrow²,

Stockley

2021

Health Expectations

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Background Machine‐learning algorithms and big data analytics, popularly known as ‘artificial intelligence’ (AI), are being developed and taken up globally. Patient and public involvement (PPI) in the transition to AI‐assisted health care is essential for design justice based on diverse patient needs. Objective To inform the future development of PPI in AI‐assisted health care by exploring public engagement in the conceptualization, design, development, testing, implementation, use and evaluation of AI technologies for mental health. Methods Systematic scoping review drawing on design justice principles, and (i) structured searches of Web of Science (all databases) and Ovid (MEDLINE, PsycINFO, Global Health and Embase); (ii) handsearching (reference and citation tracking); (iii) grey literature; and (iv) inductive thematic analysis, tested at a workshop with health researchers. Results The review identified 144 articles that met inclusion criteria. Three main themes reflect the challenges and opportunities associated with PPI in AI‐assisted mental health care: (a) applications of AI technologies in mental health care; (b) ethics of public engagement in AI‐assisted care; and (c) public engagement in the planning, development, implementation, evaluation and diffusion of AI technologies. Conclusion The new data‐rich health landscape creates multiple ethical issues and opportunities for the development of PPI in relation to AI technologies. Further research is needed to understand effective modes of public engagement in the context of AI technologies, to examine pressing ethical and safety issues and to develop new methods of PPI at every stage, from concept design to the final review of technology in practice. Principles of design justice can guide this agenda.

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Section: Resultsmentioning

confidence: 99%

Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice

Zidaru

Morrow²,

Stockley

2021

Health Expectations

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“…In recent years, incorporating the patient voice into the drug and medical device development process has been emphasized in treatment guidelines as well as by healthcare providers, the pharmaceutical industry, and patients themselves [57,[74][75][76][77][78]. In part, this has been driven by regulatory agencies such as the US Food and Drug Administration advocating that patients be included as partners and co-developers from early development through postmarketing [77,79,80].…”

Section: Discussionmentioning

confidence: 99%

Patient Perceptions of and Preferences Between Characteristics of Injectable Diabetes Treatments

et al. 2021

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Introduction: The administration of medications targeting type 2 diabetes mellitus (T2D) has evolved over time. As injection delivery systems continue to evolve, it is necessary to understand patients' perceptions of currently available treatments. The objective of this study was to examine the patient perspective of injectable treatment for T2D and identify characteristics of these treatments that are most important to patients.Methods: Data were collected via an online survey study with a sample of individuals in the UK and US who were treated for T2D with injectable medication. The survey was designed to elicit perceptions of the treatment process for injectable glucagon-like peptide 1 (GLP-1) receptor agonists and insulin. Results: The sample included 504 participants (251 UK, 253 US). Approximately half (50.4%) were treated with a GLP-1 receptor agonist and half (49.6%) were treated with insulin. Respondents were presented with a list of 17 characteristics of injectable medication and asked to indicate which were most important to them. Respondents most frequently selected confidence in administering the correct dose (n = 300, 59.5%); ease of selecting the correct dose (n = 268, 53.2%); overall ease of using the injection device (n = 239, 47.4%); frequency of injections (n = 223, 44.2%); and ease of carrying the device when necessary to inject away from home (n = 190, 37.7%). Characteristics least frequently cited as important included dose escalation (n = 79, 15.7%); handling the needle (n = 74, 14.7%); connectivity to an electronic device (n = 70, 13.9%); and the time required to prepare and inject each dose (n = 62, 12.3%). Conclusion:Results of this survey suggest that patients prioritize some attributes of injectable treatments over others. These findings may have implications for clinical practice and development of injection devices.

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“…For example, "resilience" in Yin et al (32) did not refer to the capability to respond disasters, maintain its most essential functions, and "bounce back" to the pre-event state (termed recovery) or to a new state of function (termed adaptation) (21) but described how the object moves or deforms under the action of external force. (6) These articles focus on the research and development of medical devices or technologies to support healthcare services, but HFR is not directly related (33).…”

Section: Exclusion Criteriamentioning

confidence: 99%

“…The more articles were published in a particular subject area, the larger the node (36). The top five subject categories are engineering (65); public, environmental, and occupational health (63); humans (33); environmental sciences and ecology (28); engineering and civil science (23). In Figure 4, the link between nodes indicates that two topics appear at the same time in the same article.…”

Section: Subject Categories Co-occurrence Networkmentioning

confidence: 99%

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Analyzing Healthcare Facility Resilience: Scientometric Review and Knowledge Map

Liao

Yuan

et al. 2021

Front. Public Health

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In contemporary “high-risk” society, unexpected disasters (epidemics and extreme weather) and chronic pressures (aging problems) put tremendous pressure on healthcare facilities. Enhancing the healthcare facilities' resilience ability to resist, absorb, and respond to disaster disruptions is urgent. This study presents a scientometric review for healthcare facility resilience research. A total of 374 relevant articles published between 2000 and 2020, collected from Web of Science (WoS) core collection database, Scopus database and MEDLINE database were reviewed and analyzed. The results indicated that research on resilience in healthcare facilities went through three development periods, and the research involved countries or institutions that are relatively scattered. The studies have been focused on the subject categories of engineering, public, environmental, and occupational health. The keywords of “resilience,” “hospital,” “disaster,” “healthcare,” and “healthcare facility” had the most frequency. Furthermore, based on the literature co-citation networks and content analysis, the detected seven co-citation clusters were grouped into four knowledge domains: climate change impact, strengthening resilience in response to war and epidemic, resilience assessment of healthcare facility, and the applications of information system. Moreover, the timeline view of literature reflected the evolution of each domain. Finally, a knowledge map for resilience of healthcare facilities was put forward, in which critical research contents, current knowledge gaps, and future research work were discussed. This contribution will promote researchers and practitioners to detect the hot topics, fill the knowledge gaps, and extend the body of research on resilience of healthcare facilities.

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Patient Engagement in Medical Device Design: Refining the Essential Attributes of a Wearable, Pre-Void, Ultrasound Alarm for Nocturnal Enuresis

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Cited by 13 publications

References 28 publications

Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice

Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice

Patient Perceptions of and Preferences Between Characteristics of Injectable Diabetes Treatments

Analyzing Healthcare Facility Resilience: Scientometric Review and Knowledge Map

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