An In-home Advanced Robotic System to Manage Elderly Home-care Patients’ Medications: A Pilot Safety and Usability Study

Rantanen, Pekka; Parkkari, Timo; Leikola, Saija; Airaksinen, Marja; Lyles, Alan

doi:10.1016/j.clinthera.2017.03.020

Cited by 58 publications

(42 citation statements)

References 18 publications

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“…The majority of the studies (71%) were conducted in European countries, the USA and New Zealand. Most of the studies investigated the implementation of robots primarily designed to support individuals, either living at home or at nursing homes, [23][24][25][26][27][28][29][30][31][32][33] or healthcare personnel. 26 34-38 Two robots had multiple functions to support both patients and healthcare personnel.…”

Section: Characteristics Of the Included Articlesmentioning

confidence: 99%

Implementation of robotic devices in nursing care. Barriers and facilitators: an integrative review

et al. 2020

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BackgroundRobots in healthcare are gaining increasing attention; however, their implementation is challenging due to the complexity of both interventions themselves and the contexts in which they are implemented. The objective of this integrative review is to identify barriers to and facilitators of the implementation of robotic systems in nursing.MethodsArticles published from 2002 to 2019 reporting on projects to implement robotic devices in nursing care were searched on Medline (via PubMed), CINAHL and databases on funded research projects (Community Research and Development Information Services and Technische Informationsbibliothek) and in journals for robotic research in November 2017 and July 2019 for an update. No restrictions regarding study designs were imposed. All included articles underwent quality assessments with design-specific critical appraisal tools. Barriers to and facilitators of implementation were classified using the Context and Implementation of Complex Interventions framework.ResultsAfter removing all duplicates, the search revealed 11 204 studies, of which 17 met the inclusion criteria and were included in the synthesis. The majority of the studies dealt with the implementation of robots designed to support individuals, either living at home or in nursing homes (n=11). The studies were conducted in Europe, the USA and New Zealand and were carried out in nursing homes, individual living environments, hospital units and laboratories. The quality of reporting and quality of evidence were low in most studies. The most frequently reported barriers were in socioeconomic and ethical domains and were within the implementation outcomes domain. The most frequently reported facilitators were related to the sociocultural context, implementation process and implementation strategies.DiscussionThis review identified barriers to and facilitators of the implementation of robotic devices in nursing within different dimensions. The results serve as a basis for the development of suitable implementation strategies to reduce potential barriers and promote the integration of elements to facilitate implementation.PROSPERO registration numberCRD42018073486.

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Section: Characteristics Of the Included Articlesmentioning

confidence: 99%

Implementation of robotic devices in nursing care. Barriers and facilitators: an integrative review

et al. 2020

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“…The use of autonomous and robotic agents to assist humans is expanding rapidly. Robots have been developed for various application domains such as urban search and rescue (USAR) [1], manufacturing [2], and healthcare [3]. For example, an in-home robot can be used to improve the coordination of patient communication with care providers and to assist the patient with medication management.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Predicting Trust Dynamics in Human–Robot Teaming: A Bayesian Inference Approach

Guo

Yang

2020

Int J of Soc Robotics

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Trust in automation, or more recently trust in autonomy, has received extensive research attention in the past three decades. The majority of prior literature adopted a “snapshot” view of trust and typically evaluated trust through questionnaires administered at the end of an experiment. This “snapshot” view, however, does not acknowledge that trust is a dynamic variable that can strengthen or decay over time. To fill the research gap, the present study aims to model trust dynamics when a human interacts with a robotic agent over time. The underlying premise of the study is that by interacting with a robotic agent and observing its performance over time, a rational human agent will update his/her trust in the robotic agent accordingly. Based on this premise, we develop a personalized trust prediction model and learn its parameters using Bayesian inference. Our proposed model adheres to three properties of trust dynamics characterizing human agents’ trust development process de facto and thus guarantees high model explicability and generalizability. We tested the proposed method using an existing dataset involving 39 human participants interacting with four drones in a simulated surveillance mission. The proposed method obtained a root mean square error of 0.072, significantly outperforming existing prediction methods. Moreover, we identified three distinct types of trust dynamics, the Bayesian decision maker, the oscillator, and the disbeliever, respectively. This prediction model can be used for the design of individualized and adaptive technologies.

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“…Previous qualitative research on older adults and technology has mainly focused on the intention to use technology before the technology is implemented (Peek et al, ) and on pilot studies (Rantanen, Parkkari, Leikola, Airaksinen, & Lyles, ; Reder, Ambler, Philipose, & Hedrick, ). Studies that include experiences with implemented technology for community‐dwelling older adults remain scarce (Blackman et al, ).…”

Section: Introductionmentioning

confidence: 99%

Caring by telecare? A hermeneutic study of experiences among older adults and their family caregivers

Karlsen

Moe

Haraldstad

et al. 2019

Journal of Clinical Nursing

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Aims and objectives To obtain a deeper understanding of the persistent use of telecare for older adults and their family caregivers. Background Telecare is seen as part of the solution in home care services for ageing in place. Previous studies have shown that telecare is a complex intervention, and there is still a poor understanding of older adults’ and their family caregivers’ experience with the use of telecare. Design This study used a qualitative hermeneutic research approach. Method Interviews were conducted with 18 older adults and follow‐up interviews were conducted with 15 participants after 5–6 months of use. In addition, interviews were conducted with seven close family caregivers. The COREQ checklist was used. Results The older adults expressed increased safety, security and independence. Although some of them experienced challenges, they continued to use the services. Furthermore, the findings revealed needs that telecare could not cover. Family caregivers reported that telecare eased their concern for a time. However, they felt increased responsibility which led to ambivalent feelings between wanting to comply with the older adults’ desire to live at home and the stress and concern this caused. Conclusion Telecare does improve care offered by home care services. However, it must be considered in the context of assistance and other measures and be provided in response to each individual's specific needs. Family caregivers may benefit from telecare, but telecare may also add to their care burden. Relevance to clinical practice There is a need for increased knowledge and information about telecare and for follow‐up from home care services. Family caregivers are important for promoting sustainable use, but a support system and better cooperation with home care services is needed.

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An In-home Advanced Robotic System to Manage Elderly Home-care Patients’ Medications: A Pilot Safety and Usability Study

Cited by 58 publications

References 18 publications

Implementation of robotic devices in nursing care. Barriers and facilitators: an integrative review

Implementation of robotic devices in nursing care. Barriers and facilitators: an integrative review

Modeling and Predicting Trust Dynamics in Human–Robot Teaming: A Bayesian Inference Approach

Caring by telecare? A hermeneutic study of experiences among older adults and their family caregivers

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