Assistive robots for socialization in elderly people: results pertaining to the needs of the users

Fiorini, Laura; Hoshino, Hiroshi; Matsumori, Aiko; Okabe, Yasuo; Tsukamoto, Masahiko; Limosani, Raffaele; Vitanza, Alessandra; Greco, Francesca; Greco, Antonio; Giuliani, Francesco; Cavallo, Filippo; Sancarlo, Daniele

doi:10.1007/s40520-018-1073-z

Cited by 34 publications

(26 citation statements)

References 11 publications

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“…The trend toward tailoring programs more closely to individuals is aligned with developments in the field of personalized medicine. ICT developments will also help to ensure that supportive programs can be personalized further in the future [ 15 , 16 ]. However, it is not always clear which programs are appropriate for which individuals [ 17 – 19 ].…”

Section: Introductionmentioning

confidence: 99%

Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables

Bloem

Stalpers

Groenland

et al. 2020

BMC Health Serv Res

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Background: There is an observable, growing trend toward tailoring support programsin addition to medical treatmentmore closely to individuals to help improve patients' health status. The segmentation model developed by Bloem & Stalpers [Nyenrode Research Papers Series 12:1-22, 2012] may serve as a solid basis for such an approach. The model is focused on individuals' 'health experience' and is therefore a 'cross-disease' model. The model is based on the main psychological determinants of subjective health: acceptance and perceived control. The model identifies four segments of health-care consumers, based on high or low values on these determinants. The goal of the present study is twofold: the identification of criteria for differentiating between segments, and profiling of the segments in terms of socio-demographic and socioeconomic variables. Methods: The data (acceptance, perceived control, socioeconomic , and socio-demographic variables) for this study were obtained by using an online survey (a questionnaire design), that was given (random sample N = 2500) to a large panel of Dutch citizens. The final sample consisted of 2465 participantsage distribution and education level distribution in the sample were similar to those in the Dutch population; there was an overrepresentation of females. To analyze the data factor analyses, reliability tests, descriptive statistics and t-tests were used. Results: Cutoff scores, criteria to differentiate between the segments, were defined as the medians of the distributions of control and acceptance. Based on the outcomes, unique profiles have been formed for the four segments: 1. 'Importance of self-management'relatively young, high social class, support programs: high-quality information. 2. 'Importance of personal control'relatively old, living in rural areas, high in homeownership; supportive programs: developing personal control skills. 3. 'Importance of acceptance'relatively young male; supportive programs: help by physicians and nurses. 4. 'Importance of perspective and direction'female, low social class, receiving informal care; support programs: counseling and personal care. Conclusions: The profiles describe four segments of individuals/patients that are clearly distinct from each other, each with its own description. The enriched descriptions provide a better basis for the allocation and developing of supportive programs and interventions across individuals.

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Section: Introductionmentioning

confidence: 99%

Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables

Bloem

Stalpers

Groenland

et al. 2020

BMC Health Serv Res

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“…In the literature, in fact, co-governance does not involve any of the beneficiaries; co-governance refers to the joint participation only of public agencies, the private sector, and nonprofit organizations in decision making and the planning of public services [ 40 - 42 ]. The parents’ suggestions had to be collected with more unconventional cocreation tools (ie, focus groups, community reporting, and public lab), as commonly described in similar experiences [ 17 , 43 - 47 ]. Nevertheless, as the target of our initiative on obesity prevention is the families themselves, many of the stakeholders on the consulting committee are parents or grandparents of children in the target age (from newborn to preadolescence) and thus also potential end users, and many of them have also faced the issue of overweight/obesity in childhood, given that the prevalence is close to 30%.…”

Section: Discussionmentioning

confidence: 99%

“…The fact that many members of the consulting committee were simultaneously stakeholders and potential users made our cocreation process different from all the previous experiences of cocreation in health interventions (including apps and eHealth products), where end users provided input on the needs and tested the prototypes but were not involved in the identification of the aims or in the conduction of the project [ 43 - 47 ]. In our pilot project, the process of cocreation through the consulting committee activities gradually eliminated the borders between the core pilot project leader group and the other stakeholders and end users involved.…”

Section: Discussionmentioning

confidence: 99%

Describing the Process and Tools Adopted to Cocreate a Smartphone App for Obesity Prevention in Childhood: Mixed Method Study

Rossi

Ferrari

Amarri

et al. 2020

JMIR Mhealth Uhealth

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Background Childhood obesity prevention is a public health priority in industrialized countries. The Reggio Emilia Local Health Authority has implemented a program involving primary and secondary prevention as well as the care of obese children. There are many health-promoting mobile apps, but few are targeted to children and very few are sponsored by public health agencies. Objective The goal of the research was to describe the process and tools adopted to cocreate a mobile app sponsored by the Reggio Emilia Local Health Authority to be installed in parents’ phones aimed at promoting child health and preventing obesity. Methods After stakeholder mapping, a consulting committee including relevant actors, stakeholders, and users was formed. Key persons for childhood obesity prevention were interviewed, focus groups with parents and pediatricians were conducted, and community reporting storytelling was collected. The results of these activities were presented to the consulting committee in order to define the functionalities and contents of the mobile app. Results Three key trends emerged from community reporting: being active, playing, and being outdoors; time for oneself, family, and friends; and the pressures of life and work and not having time to be active and socialize. In focus groups, interviews, and labs, mothers showed a positive attitude toward using an app to manage their children's weight, while pediatricians expressed concerns that the app could increase their workload. When these findings were explored by the consulting committee, four key themes were extracted: strong relationships with peers, family members, and the community; access to safe outdoor spaces; children’s need for age-appropriate independence; and professional support should be nonjudgmental and stigma-free. It should be a dialogue that promotes family autonomy. The app functions related to these needs include the following: (1) newsletter with anticipatory guidance, recipes, and vaccination and well-child visit reminders; (2) regional map indicating where physical activity can be done; (3) information on how to manage emergencies (eg, falls, burns, fever); (4) module for reinforcing the counseling intervention conducted by pediatricians for overweight children; and (5) a function to build a balanced daily diet. Conclusions The pilot study we conducted showed that cocreation in health promotion is feasible, with the consulting committee being the key co-governance and cocreation tool. The involvement of stakeholders in this committee made it possible to expand the number of persons and institutions actively contributing to the project.

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“…Some of the previous research focused on motivations [37,38], barriers [39] and effectiveness [26] of smart home and assistive technologiesthey focused more on adoption [8,40,41] than needs. Looking at the range of assistive technologies mentioned in the research, some research was broad enough but not specified, which just mentioned the whole range of assistive technology [42][43][44][45] or technology used in a very broad field [24,[46][47][48][49][50]. This is not useful enough to guide technology developers to map their detailed products to older people.…”

Section: Totalmentioning

confidence: 99%

Older People’s Needs and Opportunities for Assistive Technologies

Soar

Al-Hakim

2020

Lecture Notes in Computer Science

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Older adults experience a disconnect between their needs and adoption of technologies that have potential to assist and to support more independent living. This paper reviewed research that links people's needs with opportunities for assistive technologies. It searched 13 databases identifying 923 papers with 34 papers finally included for detailed analysis. The research papers identified needs in the fields of health, leisure, living, safety, communication, family relationship and social involvement. Amongst these, support for activities of daily living category was of most interest. In specific sub-categories, the next most reported need was assistive technology to support walking and mobility followed by smart cooking/kitchen technology and assistive technology for social contacts with family member/other people. The research aimed to inform a program of research into improving the adoption of technologies where they can ameliorate identified needs of older people.

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Assistive robots for socialization in elderly people: results pertaining to the needs of the users

Cited by 34 publications

References 11 publications

Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables

Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables

Describing the Process and Tools Adopted to Cocreate a Smartphone App for Obesity Prevention in Childhood: Mixed Method Study

Older People’s Needs and Opportunities for Assistive Technologies

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