Mementos and the Endowment Effect

This research provides evidence for a new moderator of the endowment effect: having a memento of the endowed object. Three studies adapting classic endowment effect paradigms and using a variety of endowment objects and mementos demonstrate that having a memento of an endowment increases willingness to trade the endowment and decreases selling prices for the endowment. We provide evidence that mementos attenuate the endowment effect regardless of whether the memento is a separate small gain when facing the loss of the endowment or a small part of the original endowment that is kept. Examining mementos in context of the endowment effect not only provides insight into the psychology underlying the reluctance to part with one\u27s endowment but also other consumer disposition behaviors

MAISON -- Multimodal AI-based Sensor platform for Older Individuals

There is a global aging population requiring the need for the right tools that can enable older adults' greater independence and the ability to age at home, as well as assist healthcare workers. It is feasible to achieve this objective by building predictive models that assist healthcare workers in monitoring and analyzing older adults' behavioral, functional, and psychological data. To develop such models, a large amount of multimodal sensor data is typically required. In this paper, we propose MAISON, a scalable cloud-based platform of commercially available smart devices capable of collecting desired multimodal sensor data from older adults and patients living in their own homes. The MAISON platform is novel due to its ability to collect a greater variety of data modalities than the existing platforms, as well as its new features that result in seamless data collection and ease of use for older adults who may not be digitally literate. We demonstrated the feasibility of the MAISON platform with two older adults discharged home from a large rehabilitation center. The results indicate that the MAISON platform was able to collect and store sensor data in a cloud without functional glitches or performance degradation. This paper will also discuss the challenges faced during the development of the platform and data collection in the homes of older adults. MAISON is a novel platform designed to collect multimodal data and facilitate the development of predictive models for detecting key health indicators, including social isolation, depression, and functional decline, and is feasible to use with older adults in the community

The effects of exergaming interventions on cognition and physical activity of institutionalized older adults: A systematic review

Objective: Physical activity has a powerful protective effect on older adults’ cognition and emotional well-being. For older adults living in long-term care, however, there are limited opportunities for engaging in physical activities, and therefore they are at high-risk of experiencing the consequences of continuous physical inactivity. Older adults with mild cognitive impairments (CI) or dementia experience more inactivity, are more socially withdrawn, and are at a significantly higher risk of decline. Exergames have been posed as a promising way to improve motivation to exercise for institutionalized older adults with dementia, with associated benefits to their cognition, well-being, social engagement, and physical capabilities, however the effects of exergaming on this vulnerable and complex population is unclear. This review aims to explore the current evidence and research gaps in these effects of exergaming interventions for this population. Method Four databases (MEDLINE, CINAHL, PsycINFO, and Compendex), were systematically searched. Quantitative studies examining cognitive, emotional, motivational, social and physical effects of exergaming interventions for older adults with dementia or CI living in long-term care were eligible for inclusion. The search included exergaming interventions and all institutionalized older adults. Thorough screening identified studies that had institutionalized older adults with mild CI or dementia. Result: The search yielded 206 citations; of those, 3 met inclusion criteria. The study designs, outcome measures and interventions varied greatly. Two studies looked at physical effects of exergaming suggested balance and motor function could be improved. Two of the three studies reported a significant pre/post-test improvement to motor function but gait did not improve in both thesestudies. When looking at cognitive benefits of exergames, studies provided indication that participants improved their alertness, concentration and memory capabilities. In one of the three studies though, there were no increase in memory capabilities. The studies were of very low to low quality. Furthermore, the studies showed that playing these games did not result in any adverse events, or exacerbate responsive behaviours while the participants were playing. There was no subgroup analysis done in any of the three studies. Conclusion: There is insufficient evidence that currently available exergames benefit cognition and motor capabilities of institutionalized older adults with mild cognitive impairment or dementia. More robust research looking at the effects of exergames on cognition and motor function is needed. Additional development of exergames tailored to the needs and interests of this population is also required

A Review of Hypertension and Diabetes Protocols for Medical Service Trips (MSTs) in Latin America and the Caribbean

Background: Hypertension and diabetes are among the most common chronic conditions that may be managed on short-term, primary care medical service trips (MSTs) in Latin America and the Caribbean (LAC), but the quality of patient care delivered remains unclear. Objective: This study summarizes protocols that Western volunteer clinicians use in managing these patients, and highlights their commonalities, differences, and potential limitations. Methods: A systematic web search was used to identify organizations operating MSTs in LAC. Organizations were contacted by email or through their websites to obtain clinical protocols intended for use on their brigades. These protocols were qualitatively analyzed, and recommendations were categorized into clinical assessment, non-pharmacologic recommendations, and pharmacologic recommendations. Findings: Two hundred twenty-five organizations were identified and contacted, and protocols were obtained for 20 of these. Eleven (55%) of these protocols discussed hypertension, and 10 (50%) discussed diabetes. Only one protocol provided any literature support for its recommendations. Conclusions: The analyzed protocols may give insight into context-specific realities of practice on MSTs, but they often neglected key aspects of clinical management that are emphasized in international guidelines. This study is an initial step in clinical guidelines development for MSTs operating in LAC

Prevalence of Portable Point of Care Tests Used on Medical Service Trips in Latin America and the Caribbean

Background: Short-term, primary care medical service trips (MSTs) frequently use inexpensive, portable point of care (POC) tests to guide diagnosis and treatment of patients in low-resource settings. However, the degree to which different POC tests are carried by organizations serving remote communities is currently unknown. Objective: The aim of this study was to determine the prevalence of various POC tests used by MST-sending organizations operating in Latin America. Methods: We surveyed 166 organizations operating mobile MSTs in Latin America and the Caribbean on the types of POC tests carried on their brigades. Findings: Forty-eight organizations responded (response rate: 28.9%). The most commonly carried tests were glucometers (40/48; 83.3%), urine dipsticks (31/48; 77.1%), and urine pregnancy tests (32/48; 66.7%). Fewer groups carried hemoglobinometers (16/48; 33.3%), malaria diagnostic tests (18/48; 37.5%), tests for sexually transmitted infection (8/48; 16.7%), or portable ultrasound (19/48; 40.0%). Conclusions: These tests may be useful for field diagnosis, but clinicians should understand the performance limitations of each test compared to its gold standard. When combined with knowledge of local epidemiology, these exploratory results will be useful in resource planning, guidelines development for MSTs, and in establishing minimum recommendations for diagnostic resources that should be available on MSTs

A Protocol to Develop Practice Guidelines for Primary Care Medical Service Trips

BackgroundNorth American clinicians are increasingly participating in medical service trips (MSTs) that provide primary healthcare in Latin America and the Caribbean. Literature reviews have shown that the existence and use of evidence-based guidelines by these groups are limited, which presents potential for harm.ObjectiveThis paper proposes a 5-step methodology to develop protocols for diagnosis and treatment of conditions encountered by MST clinicians.MethodsWe reviewed the 2010 American College of Physicians guidance statement on guidelines development and developed our own adaptation. Ancestry search of the American College of Physicians statement identified specific publications that provided additional detail on key steps in the guideline development process, with additional focus given to evidence, equity, and local adaptation considerations.FindingsOur adaptation produced a 5-step process for developing locally optimized protocols for diagnosis and treatment of common conditions seen in MSTs. For specified conditions, this process includes: 1) a focused environmental scan of current practices based on grey literature protocols from MST sending organizations; 2) a review of relevant practice guidelines; 3) a literature review assessing the epidemiology, diagnosis, and treatment of the specified condition; 4) an eDelphi process with experts representing MST and Latin American and the Caribbean partner organizations assessing identified guidelines; and 5) external peer review and summary.ConclusionsThis protocol will enable the creation of practice guidelines that are based on best available evidence, local knowledge, and equitable considerations. The development of guidelines using this process could optimize the conduct of MSTs, while prioritizing input from local community partners

Recommendations From the International Consortium on Professional Nursing Practice in Long-Term Care Homes

AbstractIn response to the International Association of Gerontology and Geriatrics' global agenda for clinical research and quality of care in long-term care homes (LTCHs), the International Consortium on Professional Nursing Practice in Long Term Care Homes (the Consortium) was formed to develop nursing leadership capacity and address the concerns regarding the current state of professional nursing practice in LTCHs. At its invitational, 2-day inaugural meeting, the Consortium brought together international nurse experts to explore the potential of registered nurses (RNs) who work as supervisors or charge nurses within the LTCHs and the value of their contribution in nursing homes, consider what RN competencies might be needed, discuss effective educational (curriculum and practice) experiences, health care policy, and human resources planning requirements, and to identify what sustainable nurse leadership strategies and models might enhance the effectiveness of RNs in improving resident, family, and staff outcomes. The Consortium made recommendations about the following priority issues for action: (1) define the competencies of RNs required to care for older adults in LTCHs; (2) create an LTCH environment in which the RN role is differentiated from other team members and RNs can practice to their full scope; and (3) prepare RN leaders to operate effectively in person-centered care LTCH environments. In addition to clear recommendations for practice, the Consortium identified several areas in which further research is needed. The Consortium advocated for a research agenda that emphasizes an international coordination of research efforts to explore similar issues, the pursuit of examining the impact of nursing and organizational models, and the showcasing of excellence in nursing practice in care homes, so that others might learn from what works. Several studies already under way are also described

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative

Funder: Fondation Brocher; Id: http://dx.doi.org/10.13039/100007461Funder: Leverhulme Centre for the Future of IntelligenceAbstract: Aim: To develop a consensus paper on the central points of an international invitational think‐tank on nursing and artificial intelligence (AI). Methods: We established the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, comprising interdisciplinary experts in AI development, biomedical ethics, AI in primary care, AI legal aspects, philosophy of AI in health, nursing practice, implementation science, leaders in health informatics practice and international health informatics groups, a representative of patients and the public, and the Chair of the ITU/WHO Focus Group on Artificial Intelligence for Health. The NAIL Collaborative convened at a 3‐day invitational think tank in autumn 2019. Activities included a pre‐event survey, expert presentations and working sessions to identify priority areas for action, opportunities and recommendations to address these. In this paper, we summarize the key discussion points and notes from the aforementioned activities. Implications for nursing: Nursing's limited current engagement with discourses on AI and health posts a risk that the profession is not part of the conversations that have potentially significant impacts on nursing practice. Conclusion: There are numerous gaps and a timely need for the nursing profession to be among the leaders and drivers of conversations around AI in health systems. Impact: We outline crucial gaps where focused effort is required for nursing to take a leadership role in shaping AI use in health systems. Three priorities were identified that need to be addressed in the near future: (a) Nurses must understand the relationship between the data they collect and AI technologies they use; (b) Nurses need to be meaningfully involved in all stages of AI: from development to implementation; and (c) There is a substantial untapped and an unexplored potential for nursing to contribute to the development of AI technologies for global health and humanitarian efforts

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative

Aim To develop a consensus paper on the central points of an international invitational think-tank on nursing and artificial intelligence (AI).Methods We established the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, comprising interdisciplinary experts in AI development, biomedical ethics, AI in primary care, AI legal aspects, philosophy of AI in health, nursing practice, implementation science, leaders in health informatics practice and international health informatics groups, a representative of patients and the public, and the Chair of the ITU/WHO Focus Group on Artificial Intelligence for Health. The NAIL Collaborative convened at a 3-day invitational think tank in autumn 2019. Activities included a pre-event survey, expert presentations and working sessions to identify priority areas for action, opportunities and recommendations to address these. In this paper, we summarize the key discussion points and notes from the aforementioned activities.Implications for nursing Nursing's limited current engagement with discourses on AI and health posts a risk that the profession is not part of the conversations that have potentially significant impacts on nursing practice.Conclusion There are numerous gaps and a timely need for the nursing profession to be among the leaders and drivers of conversations around AI in health systems.Impact We outline crucial gaps where focused effort is required for nursing to take a leadership role in shaping AI use in health systems. Three priorities were identified that need to be addressed in the near future: (a) Nurses must understand the relationship between the data they collect and AI technologies they use; (b) Nurses need to be meaningfully involved in all stages of AI: from development to implementation; and (c) There is a substantial untapped and an unexplored potential for nursing to contribute to the development of AI technologies for global health and humanitarian efforts