Determinants of implementing of pet robots in nursing homes for dementia care

Development of an ethical framework for the use of social robots in the care of individuals with major neurocognitive disorders: a qualitative study

BACKGROUND

Despite the growing use of social robots in geriatric care, there is a lack of standardized ethical guidelines to inform and guide professionals in their implementation.

OBJECTIVE

This study has two main objectives: 1) to understand how professionals conducting social robot interventions (SRIs) perceive and approach the ethical issues linked to the use of social robots with older adults, and 2) to establish ethical guidelines to help professionals carry out SRIs with older adults with major neurocognitive disorders.

METHODS

For this descriptive qualitative study, we conducted interviews with 20 healthcare professionals working in geriatric facilities. The interviews were recorded and transcribed, and an inductive content analysis was performed to identify certain themes and recommendations concerning the use of social robots with older adults with major neurocognitive disorders.

RESULTS

Six main themes emerged from the analysis of the interviews: deciding on and preparing the robot's integration into an institutional setting, preparing a robotic intervention, introducing the robot to older adults, obtaining consent or assent, conducting a robotic-mediated intervention, and observing the effects of social robot use.

CONCLUSION

The use of social robots should be guided by the same ethical guidelines followed in all therapeutic interventions; however, healthcare professionals express a need for special training and preparation for SRIs in geriatric settings. We have drafted several preliminary recommendations for carrying out SRIs with older adults with major neurocognitive disorders. Future research should focus on standardizing guidelines and creating an accessible format for training.

TRIAL REGISTRATION

IRB N°: 00012021-110.

Implementation of socially assistive robots in geriatric care institutions: Healthcare professionals' perspectives and identification of facilitating factors and barriers

Introduction

The successful integration of socially assistive robots in geriatric care settings hinges on the attitudes and opinions of healthcare professionals. This study explored their needs, expectations, and perceptions regarding robot use, including facilitating factors and barriers to implementation.

Methods

Twenty professionals participated in semi-structured interviews that covered topics such as robot applications, perceived value, acceptance criteria, prerequisites for deployment, ethical considerations, and design attributes. These interviews were analyzed using a deductive qualitative approach guided by the European Network for Health Technology Assessment model (version 3.0).

Results

Results indicated that professionals generally viewed robots favorably, noting their usefulness in various non-intimate tasks like meal assistance and toileting. Ease of use was identified as a critical factor for robot adoption in geriatric care. Furthermore, the necessity of educating all stakeholders and providing comprehensive training to professionals emerged as essential for successful implementation. The discussions also included financial and ethical issues related to the introduction of these technologies.

Conclusion

These findings will contribute to develop guidelines for designing and deploying socially assistive robots that align with the preferences and requirements of geriatric care professionals.

Higher oxytocin concentrations occur in subjects who build affiliative relationships with companion robots

Building affiliative relationships with others is important for mental health. Recently, robots have been expected to play a role in improving mental health, but there is little scientific evidence as to whether they can build affiliative relationships with humans. To investigate that, we conducted studies combining behavior, physiology and questionnaires for companion robot Owners and Non-Owners. The results reveal that the steady-state concentration of oxytocin, a hormone related to affiliative relationships, was significantly higher in Owners than in Non-Owners. In addition, the Owners showed more behaviors indicative of intimacy than the Non-Owners. These results suggest that humans can build affiliative relationships with robots. Fifteen minutes of contact with the robot decreased the concentration of cortisol in both groups, suggesting that even a brief contact can contribute to improving mental health. Therefore, relationships between humans and robots may be one option to improve mental health and enhance well-being.

Beyond Plan-Do-Study-Act cycle - staff perceptions on facilitators and barriers to the implementation of telepresence robots in long-term care

BACKGROUND

Quality improvement (QI) programs with technology implementations have been introduced to long-term care (LTC) to improve residents' quality of life. Plan-Do-Study-Act (PDSA) cycle is commonly adopted in QI projects. There should be an appropriate investment of resources to enhance learning from iterative PDSA cycles. Recently, scholars explored possibilities of implementation science (IS) with QI methods to increase QI projects' generalisability and make them more widely applicable in other healthcare contexts. To date, scant examples demonstrate the complementary use of the two methods in QI projects involving technology implementation. This qualitative study explores staff and leadership teams' perspectives on facilitators and barriers of a QI project to implement telepresence robots in LTC guided by the Consolidated Framework for Implementation Research (CFIR).

METHODS

We employed purposive and snowballing methods to recruit 22 participants from two LTC in British Columbia, Canada: operational and unit leaders and interdisciplinary staff, including nursing staff, care aides, and allied health practitioners. CFIR was used to guide data collection and analysis. Semi-structured interviews and focus groups were conducted through in-person and virtual meetings. Thematic analysis was employed to generate insights into participants' perspectives.

RESULTS

Our analysis identified three themes: (a) The essential needs for family-resident connections, (b) Meaningful engagement builds partnership, and (c) Training and timely support gives confidence. Based on the findings and CFIR guidance, we demonstrate how to plan strategies in upcoming PDSA cycles and offer an easy-to-use tool 'START' to encourage the practical application of evidence-based strategies in technology implementation: Share benefits and failures; Tailor planning with staff partners; Acknowledge staff concerns; Recruit opinion leaders early; and Target residents' needs.

CONCLUSIONS

Our study offers pragmatic insights into the complementary application of CFIR with PDSA methods in QI projects on implementing technologies in LTC. Healthcare leaders should consider evidence-based strategies in implementing innovations beyond PDSA cycles.

Robots for Elderly Care: Review, Multi-Criteria Optimization Model and Qualitative Case Study

This paper focuses on three areas: the first is a review of current knowledge about social and service robots for elderly care. The second is an optimization conceptual model aimed at maximizing the efficiency of assigning robots to serve the elderly. The proposed multi-criteria optimization model is the first one proposed in the area of optimization for robot assignment for the elderly with robot utilization level and caregiver stress level. The third is the findings of studies on the needs, requirements, and adoption of technology in elderly care. We consider the use of robots as a part of the ENRICHME project for long-term interaction and monitoring of older persons with mild cognitive impairment, to optimize their independence. Additionally, we performed focus group discussions (FGD) to collect opinions about robot-related requirements of the elderly and their caregivers. Four FDGs of six persons were organized: two comprising older adults, and two of the other formal and informal caregivers, based on a detailed script. The statements of older participants and their caregivers were consistent in several areas. The analysis revealed user characteristics, robot-related issues, functionality, and barriers to overcome before the deployment of the robot. An introduction of the robot must be thoroughly planned, include comprehensive pre-training, and take the ethical and practical issues into account. The involvement of future users in the customization of the robot is essential.

The ethics of pet robots in dementia care settings: Care professionals' and organisational leaders' ethical intuitions

BACKGROUND

Pet robots are gaining momentum as a technology-based intervention to support the psychosocial wellbeing of people with dementia. Current research suggests that they can reduce agitation, improve mood and social engagement. The implementation of pet robots in care for persons with dementia raises several ethical debates. However, there is a paucity of empirical evidence to uncover care providers' ethical intuitions, defined as individuals' fundamental moral knowledge that are not underpinned by any specific propositions.

OBJECTIVES

Explore care professionals' and organisational leaders' ethical intuitions before and when implementing pet robots in nursing homes for routine dementia care.

MATERIALS AND METHODS

We undertook a secondary qualitative analysis of data generated from in-depth, semi-structured interviews with 22 care professionals and organisational leaders from eight nursing homes in Ireland. Data were analysed using reflexive thematic analysis. Ethical constructs derived from a comprehensive review of argument-based ethics literature were used to guide the deductive coding of concepts. An inductive approach was used to generate open codes not falling within the pre-existing concepts.

FINDINGS

Ethical intuitions for implementing pet robots manifested at three levels: an (1) individual-relational, (2) organisational and (3) societal level. At the individual-relational level, ethical intuitions involved supporting the autonomy of residents and care providers, using the robots to alleviate residents' social isolation, and the physical and psychosocial impacts associated with their use. Some care providers had differing sentiments about anthropomorphizing pet robots. At the organisational level, intuitions related to the use of pet robots to relieve care provision, changes to the organisational workflow, and varying extents of openness amongst care providers to use technological innovations. At the societal level, intuitions pertained conceptions of dementia care in nursing homes, and social justice relating to the affordability and availability of pet robots. Discrepancies between participants' ethical intuitions and existing philosophical arguments were uncovered.

CONCLUSION

Care professionals and organisational leaders had different opinions on how pet robots are or should be implemented for residents with dementia. Future research should consider involving care practitioners, people with dementia, and their family members in the ethics dialogue to support the sustainable, ethical use of pet robots in practice.

Strategies to Implement Pet Robots in Long-Term Care Facilities for Dementia Care: A Modified Delphi Study

OBJECTIVES

Pet robots are technology-based substitutes for live animals that have demonstrated psychosocial benefits for people living with dementia in long-term care. However, little research has been conducted to understand how pet robots should be implemented in routine care. This study aims to identify, contextualize, and achieve expert consensus on strategies to implement pet robots as part of dementia care in long-term care facilities.

DESIGN

A 2-round modified Delphi study.

SETTINGS AND PARTICIPANTS

An international panel of 56 experts from 14 countries, involving care professionals, organizational leaders, and researchers.

METHODS

A list of potentially relevant strategies was identified, contextualized, and revised using empirical data and through stakeholder consultations. These strategies constituted statements for Round 1. Experts rated the relative importance of each statement on a 9-point scale, and free-text fields allowed them to provide justifications. Consensus was predefined as ≥75% agreement. Statements not reaching an agreement were brought forward to Round 2. Quantitative data were analyzed using descriptive statistics, and textual data were analyzed using inductive content analysis.

RESULTS

Thirteen strategies reached consensus; 11 were established as critical: (1) assess readiness and identify barriers and facilitators, (2) purposely reexamine the implementation, (3) obtain and use residents' and their family's feedback, (4) involve residents and their family, (5) promote adaptability, (6) conduct ongoing training, (7) conduct educational meetings, (8) conduct local consensus discussions, (9) organize clinician implementation team meetings, (10) provide local technical assistance, and (11) access new funding. Other strategies received differing extents of agreement. Reasons for variations included contextual differences, such as resource availability, organizational structures, and staff turnover.

CONCLUSIONS AND IMPLICATIONS

This study identified the most relevant strategies that can be used by technology developers, care providers, and researchers to implement pet robots in long-term care facilities for dementia care. Further development, specification, and testing in real-world settings are needed.

Strategies for implementing pet robots in care homes and nursing homes for residents with dementia: protocol for a modified Delphi study

Background

Pet robots are a type of technology-based innovation that have shown positive psychosocial benefits for people with dementia in residential facilities, such as improving mood and social interaction and reducing agitation. Nevertheless, little is known about how pet robots can be implemented in care homes and nursing homes for dementia care in real-world practice. The objectives of this study are to (1) identify contextualised implementation strategies for implementing pet robots into care homes and nursing homes for dementia care and (2) achieve consensus on the most relevant strategies.

Method

This study is informed by a preceding scoping review and qualitative study, which used the Consolidated Framework of Implementation Research (CFIR) to identify multi-level determinants of implementation (i.e. barriers and facilitators). We will use the CFIR-ERIC matching tool to identify relevant implementation strategies from the Expert Recommendations for Implementing Change (ERIC) taxonomy to address these determinants. Data from the scoping review and qualitative study will be used to contextualise the generic ERIC strategies for our setting. After that, a group of key stakeholders will be consulted to further contextualise and refine these strategies. Next, a two-round modified Delphi process will be conducted. Fifty-four international expert participants including healthcare professionals and organisational leaders from care homes and nursing homes and academic researchers will be recruited through purposive sampling. During the first Delphi round, participants will be invited to rate the relevance of each implementation strategy on a 9-point Likert scale and provide comments or suggestions. Descriptive statistics will be used to identify whether consensus has been obtained. Inductive qualitative content analysis will be used to analyse and summarise textual responses for any new statements suggested by participants. Statements that do not reach consensus and new statements suggested in round 1 will be taken to the next round, which will follow the same rating process.

Discussion

This study will identify strategies for implementing pet robots in care homes and nursing homes for residents with dementia, which will have practical utility for clinicians, organisations and researchers. It will also demonstrate the practical application (and adaptation) of the CFIR-ERIC tool to identify and contextualise ERIC strategies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s43058-022-00308-z.