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Choi UY, Patterson P, Chinho N. Reducing the Burdens of Paid Caregivers of Older Adults by Using Assistive Technology: A Scoping Review. West J Nurs Res 2024; 46:315-326. [PMID: 38420931 PMCID: PMC10955782 DOI: 10.1177/01939459241234233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
BACKGROUND Paid caregivers are needed to support older adults, but caregiver burden contributes to high turnover rates. Assistive technologies help perform activities of daily living (ADLs) and can reduce caregiver burden, but little is known about how they impact paid caregivers. OBJECTIVE This scoping review provides an overview of evidence on using assistive technology to reduce burdens on paid caregivers working with older adults. DESIGN The review was conducted from May to August 2022. The eligibility criteria included: (1) publication within 5 years in peer-reviewed journals, (2) investigation of assistive technology, (3) main participants include paid caregivers supporting older adults, and (4) describing impacts on caregiver burden. Searches were conducted in 6 databases, generating 702 articles. The charted data included (1) country of study, (2) participant care roles, (3) study design, (4) main outcomes, and (5) types of assistive technology. Numerical description and qualitative content analysis of themes were used. RESULTS Fifteen articles reporting on studies in 9 countries were retained for analysis. Studies used a variety of quantitative (8/15), qualitative (5/15), and mixed (2/15) methods. Technologies studied included grab bars and handrails, bidet seats, bed transfer devices, sensor and monitoring systems, social communication systems, and companion robots. Articles identified benefits for reducing stress and workload, while paid caregivers described both positive and negative impacts. CONCLUSIONS Literature describing the impact of assistive technology on paid caregivers who work with older adults is limited and uses varied methodologies. Additional research is needed to enable rigorous evaluation of specific technologies and impacts on worker turnover.
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Affiliation(s)
- U Yeong Choi
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada
| | - Patrick Patterson
- AGE-WELL National Innovation Hub APPTA, Department of Community and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Norma Chinho
- AGE-WELL National Innovation Hub APPTA, Department of Community and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
- AGE-WELL National Innovation Hub APPTA, Department of Community and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
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2
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Crocker TF, Ensor J, Lam N, Jordão M, Bajpai R, Bond M, Forster A, Riley RD, Andre D, Brundle C, Ellwood A, Green J, Hale M, Mirza L, Morgan J, Patel I, Patetsini E, Prescott M, Ramiz R, Todd O, Walford R, Gladman J, Clegg A. Community based complex interventions to sustain independence in older people: systematic review and network meta-analysis. BMJ 2024; 384:e077764. [PMID: 38514079 PMCID: PMC10955723 DOI: 10.1136/bmj-2023-077764] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/14/2024] [Indexed: 03/23/2024]
Abstract
OBJECTIVE To synthesise evidence of the effectiveness of community based complex interventions, grouped according to their intervention components, to sustain independence for older people. DESIGN Systematic review and network meta-analysis. DATA SOURCES Medline, Embase, CINAHL, PsycINFO, CENTRAL, clinicaltrials.gov, and International Clinical Trials Registry Platform from inception to 9 August 2021 and reference lists of included studies. ELIGIBILITY CRITERIA Randomised controlled trials or cluster randomised controlled trials with ≥24 weeks' follow-up studying community based complex interventions for sustaining independence in older people (mean age ≥65 years) living at home, with usual care, placebo, or another complex intervention as comparators. MAIN OUTCOMES Living at home, activities of daily living (personal/instrumental), care home placement, and service/economic outcomes at 12 months. DATA SYNTHESIS Interventions were grouped according to a specifically developed typology. Random effects network meta-analysis estimated comparative effects; Cochrane's revised tool (RoB 2) structured risk of bias assessment. Grading of recommendations assessment, development and evaluation (GRADE) network meta-analysis structured certainty assessment. RESULTS The review included 129 studies (74 946 participants). Nineteen intervention components, including "multifactorial action from individualised care planning" (a process of multidomain assessment and management leading to tailored actions), were identified in 63 combinations. For living at home, compared with no intervention/placebo, evidence favoured multifactorial action from individualised care planning including medication review and regular follow-ups (routine review) (odds ratio 1.22, 95% confidence interval 0.93 to 1.59; moderate certainty); multifactorial action from individualised care planning including medication review without regular follow-ups (2.55, 0.61 to 10.60; low certainty); combined cognitive training, medication review, nutritional support, and exercise (1.93, 0.79 to 4.77; low certainty); and combined activities of daily living training, nutritional support, and exercise (1.79, 0.67 to 4.76; low certainty). Risk screening or the addition of education and self-management strategies to multifactorial action from individualised care planning and routine review with medication review may reduce odds of living at home. For instrumental activities of daily living, evidence favoured multifactorial action from individualised care planning and routine review with medication review (standardised mean difference 0.11, 95% confidence interval 0.00 to 0.21; moderate certainty). Two interventions may reduce instrumental activities of daily living: combined activities of daily living training, aids, and exercise; and combined activities of daily living training, aids, education, exercise, and multifactorial action from individualised care planning and routine review with medication review and self-management strategies. For personal activities of daily living, evidence favoured combined exercise, multifactorial action from individualised care planning, and routine review with medication review and self-management strategies (0.16, -0.51 to 0.82; low certainty). For homecare recipients, evidence favoured addition of multifactorial action from individualised care planning and routine review with medication review (0.60, 0.32 to 0.88; low certainty). High risk of bias and imprecise estimates meant that most evidence was low or very low certainty. Few studies contributed to each comparison, impeding evaluation of inconsistency and frailty. CONCLUSIONS The intervention most likely to sustain independence is individualised care planning including medicines optimisation and regular follow-up reviews resulting in multifactorial action. Homecare recipients may particularly benefit from this intervention. Unexpectedly, some combinations may reduce independence. Further research is needed to investigate which combinations of interventions work best for different participants and contexts. REGISTRATION PROSPERO CRD42019162195.
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Affiliation(s)
- Thomas F Crocker
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Joie Ensor
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Natalie Lam
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Magda Jordão
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Ram Bajpai
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Matthew Bond
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Anne Forster
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Richard D Riley
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Deirdre Andre
- Research Support Team, Leeds University Library, University of Leeds, Leeds, UK
| | - Caroline Brundle
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Alison Ellwood
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - John Green
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Matthew Hale
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Lubena Mirza
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Jessica Morgan
- Geriatric Medicine, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Ismail Patel
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Eleftheria Patetsini
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Matthew Prescott
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Ridha Ramiz
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Oliver Todd
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rebecca Walford
- Geriatric Medicine, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - John Gladman
- Centre for Rehabilitation and Ageing Research, Academic Unit of Injury, Inflammation and Recovery Sciences, University of Nottingham, Nottingham, UK
- Health Care of Older People, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Andrew Clegg
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
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Gallucci A, Trimarchi PD, Tuena C, Cavedoni S, Pedroli E, Greco FR, Greco A, Abbate C, Lattanzio F, Stramba-Badiale M, Giunco F. Technologies for frailty, comorbidity, and multimorbidity in older adults: a systematic review of research designs. BMC Med Res Methodol 2023; 23:166. [PMID: 37434136 PMCID: PMC10334509 DOI: 10.1186/s12874-023-01971-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 06/09/2023] [Indexed: 07/13/2023] Open
Abstract
BACKGROUND Frailty, neurodegeneration and geriatric syndromes cause a significant impact at the clinical, social, and economic level, mainly in the context of the aging world. Recently, Information and Communication Technologies (ICTs), virtual reality tools, and machine learning models have been increasingly applied to the care of older patients to improve diagnosis, prognosis, and interventions. However, so far, the methodological limitations of studies in this field have prevented to generalize data to real-word. This review systematically overviews the research designs used by studies applying technologies for the assessment and treatment of aging-related syndromes in older people. METHODS Following the PRISMA guidelines, records from PubMed, EMBASE, and Web of Science were systematically screened to select original articles in which interventional or observational designs were used to study technologies' applications in samples of frail, comorbid, or multimorbid patients. RESULTS Thirty-four articles met the inclusion criteria. Most of the studies used diagnostic accuracy designs to test assessment procedures or retrospective cohort designs to build predictive models. A minority were randomized or non-randomized interventional studies. Quality evaluation revealed a high risk of bias for observational studies, while a low risk of bias for interventional studies. CONCLUSIONS The majority of the reviewed articles use an observational design mainly to study diagnostic procedures and suffer from a high risk of bias. The scarce presence of methodologically robust interventional studies may suggest that the field is in its infancy. Methodological considerations will be presented on how to standardize procedures and research quality in this field.
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Affiliation(s)
| | | | - Cosimo Tuena
- Department of Psychology, Catholic University of the Sacred Hearth, Milan, Italy
| | - Silvia Cavedoni
- Applied Technology for Neuro‑Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Elisa Pedroli
- Applied Technology for Neuro‑Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Faculty of Psychology, University of eCampus, Novedrate, Italy
| | - Francesca Romana Greco
- Geriatric Unit, Department of Medical Sciences, IRCCS ''Casa Sollievo della Sofferenza'', San Giovanni Rotondo, Italy
| | - Antonio Greco
- Geriatric Unit, Department of Medical Sciences, IRCCS ''Casa Sollievo della Sofferenza'', San Giovanni Rotondo, Italy
| | - Carlo Abbate
- IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy
| | | | - Marco Stramba-Badiale
- Department of Geriatrics and Cardiovascular Medicine, IRCCS Istituto Auxologico Italiano, Milan, Italy
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Tónay G, Pilissy T, Tóth A, Fazekas G. Methods to assess the effectiveness and acceptance of information and communication technology-based assistive technology for older adults: a scoping review. Int J Rehabil Res 2023; 46:113-125. [PMID: 36867011 DOI: 10.1097/mrr.0000000000000571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
An aging society is a growing challenge for families, social and rehabilitation service providers, and economies. Information and communication technology-based assistive technology can bolster the independence of older adults (65 years and above) and reduce their burden on caregivers. Currently, there is no unified methodology to assess the effectiveness and acceptance of these technologies. The present study undertakes a scoping review to (1) identify and characterize the methods for assessing the acceptability and usability of information and communication technology-based assistive technologies, (2) explore the advantages and disadvantages of the assessment methods, (3) determine the possibilities of combining the assessment methods and (4) define the most commonly used assessment method and set of outcome measures. The literature was searched in MEDLINE, Scopus, IEEE Cochrane and Web of Science bibliographic databases using the keywords defined by reviewers for articles in English published between 2011 and 2021. Of the 1696 matches, 31 met the inclusion criteria. It was found that a combination of different assessment methods was common in outcome measurements. Of the 31 studies, assessment methods were combined in 21 studies and multiple questionnaires were used in 11 studies. The most common technique of outcome measurement was the use of questionnaires (81%), conducting interviews (48%) and recording usability-performance measures (39%). The advantages and disadvantages of the assessment methods could not be determined in the selected studies in this scoping review.
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Affiliation(s)
- Gabriella Tónay
- Department of Rehabilitation post Stroke, National Institute of Locomotor Diseases and Disabilities/National Institute for Medical Rehabilitation
- Department of Rehabilitation Medicine, Szent János Hospital
| | - Tamás Pilissy
- Department of Rehabilitation post Stroke, National Institute of Locomotor Diseases and Disabilities/National Institute for Medical Rehabilitation
- Department of Manufacturing Science and Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest
| | - András Tóth
- Department of Rehabilitation post Stroke, National Institute of Locomotor Diseases and Disabilities/National Institute for Medical Rehabilitation
- Department of Manufacturing Science and Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest
| | - Gábor Fazekas
- Department of Rehabilitation post Stroke, National Institute of Locomotor Diseases and Disabilities/National Institute for Medical Rehabilitation
- Department of Rehabilitation Medicine, Albert Szent Györgyi Medical School, University of Szeged, Szeged, Hungary
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Bieg T, Gerdenitsch C, Schwaninger I, Kern BMJ, Frauenberger C. Evaluating Active and Assisted Living technologies: Critical methodological reflections based on a longitudinal randomized controlled trial. COMPUTERS IN HUMAN BEHAVIOR 2022. [DOI: 10.1016/j.chb.2022.107249] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Simonet C, Noyce AJ. Domotics, Smart Homes, and Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2022; 11:S55-S63. [PMID: 33612494 PMCID: PMC8385512 DOI: 10.3233/jpd-202398] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Technology has an increasing presence and role in the management of Parkinson’s disease. Whether embraced or rebuffed by patients and clinicians, this is an undoubtedly growing area. Wearable sensors have received most of the attention so far. This review will focus on technology integrated into the home setting; from fixed sensors to automated appliances, which are able to capture information and have the potential to respond in an unsupervised manner. Domotics also have the potential to provide ‘real world’ context to kinematic data and therapeutic opportunities to tackle challenging motor and non-motor symptoms. Together with wearable technology, domotics have the ability to gather long-term data and record discrete events, changing the model of the cross-sectional outpatient assessment. As clinicians, our ultimate goal is to maximise quality of life, promote autonomy, and personalise care. In these respects, domotics may play an essential role in the coming years.
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Affiliation(s)
- Cristina Simonet
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Alastair J Noyce
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.,Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK
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7
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Bacchin D, Pluchino P, Grippaldi AZ, Mapelli D, Spagnolli A, Zanella A, Gamberini L. Smart Co-housing for People With Disabilities: A Preliminary Assessment of Caregivers' Interaction With the DOMHO System. Front Psychol 2021; 12:734180. [PMID: 34539532 PMCID: PMC8446196 DOI: 10.3389/fpsyg.2021.734180] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/02/2021] [Indexed: 11/29/2022] Open
Abstract
Millions of people with motor and cognitive disabilities face hardships in daily life due to the limited accessibility and inclusiveness of living spaces which limit their autonomy and independence. The DOMHO project deals with these fundamental issues by leveraging an innovative solution: a smart co-housing apartment. Besides, the project aims at exploiting the well know effects of co-housing on individuals' health and well-being in combination with ambient assisted living technologies. The present study focused on the interaction of caregivers with the control application of an integrated smart system. Participants performed different tasks, fill out a questionnaire, and were interviewed. Performance and usability of the user interface, trust in technology, privacy, and attitudes towards home automation were explored. A series of guidelines for domotic technology control interfaces design was identified, and a high level of trust in these advanced tools was shown. Caregivers considered smart technologies as a work aid and a means for enhancing autonomy and life quality for users with disabilities.
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Affiliation(s)
- Davide Bacchin
- Department of General Psychology, University of Padova, Padova, Italy
| | - Patrik Pluchino
- Department of General Psychology, University of Padova, Padova, Italy
- Human Inspired Technology Research Centre, University of Padova, Padova, Italy
| | | | - Daniela Mapelli
- Department of General Psychology, University of Padova, Padova, Italy
- Human Inspired Technology Research Centre, University of Padova, Padova, Italy
| | - Anna Spagnolli
- Department of General Psychology, University of Padova, Padova, Italy
- Human Inspired Technology Research Centre, University of Padova, Padova, Italy
| | - Andrea Zanella
- Human Inspired Technology Research Centre, University of Padova, Padova, Italy
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Luciano Gamberini
- Department of General Psychology, University of Padova, Padova, Italy
- Human Inspired Technology Research Centre, University of Padova, Padova, Italy
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Cruz AM, Monsalve L, Ladurner AM, Jaime LF, Wang D, Quiroga DA. Information and Communication Technologies for Managing Frailty: A Systematic Literature Review. Aging Dis 2021; 12:914-933. [PMID: 34094651 PMCID: PMC8139198 DOI: 10.14336/ad.2020.1114] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 11/15/2020] [Indexed: 11/17/2022] Open
Abstract
Frailty is a prevalent condition among Canadians; over one million are diagnosed as medically frail, and in the next ten years this number will double. Information and telecommunication technologies can provide a low-cost method for managing frailty more proactively. This study aims to examine the range and extent of information and telecommunication technologies for managing frailty in older adults, their technology readiness level, the evidence, and the associated outcomes. A systematic literature review was conducted. Four databases were searched for studies: Medline, EMBASE, CINAHL, and Web of Science. In total, we included 19 studies (out of 9,930) for the data abstraction. Overall, our findings indicate that (1) the proposed frailty phenotype is the most common ground truth to be used for assessing frailty; (2) the most common uses of information and telecommunication technologies for managing frailty are detection, and monitoring and detection, while interventional studies on frailty are very rare; (3) the five main types of information and telecommunication technologies for managing frailty in older adults are information and telecommunication technology-based platforms, smartphones, telemonitoring (home monitoring), wearable sensors and devices (commercial off-the-shelf), and multimedia formats for online access; (4) the technology readiness level of information and telecommunication technologies for managing frailty in older adults is the “Technology Demonstration” level, i.e., not yet ready to be operated in an actual operating environment; and (5) the level of evidence is still low for information and telecommunication technology studies that manage frailty in older adults. In conclusion, information and telecommunication technologies for managing frailty in the older adult population are not yet ready to be full-fledged technologies for this purpose.
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Affiliation(s)
- Antonio Miguel Cruz
- 1Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada.,2Glenrose Rehabilitation Research, Innovation & Technology (GRRIT) Hub, Glenrose Rehabilitation Hospital, Edmonton, AB, Canada.,3Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Laura Monsalve
- 4School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia
| | - Anna-Maria Ladurner
- 1Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
| | - Luisa Fernanda Jaime
- 4School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia
| | - Daniel Wang
- 1Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
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Nilsson MY, Andersson S, Magnusson L, Hanson E. Ambient assisted living technology-mediated interventions for older people and their informal carers in the context of healthy ageing: A scoping review. Health Sci Rep 2021; 4:e225. [PMID: 33392394 PMCID: PMC7770427 DOI: 10.1002/hsr2.225] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 11/30/2020] [Accepted: 12/03/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND AND AIMS There is a growing demand for health and social care services to provide technology-mediated interventions that promote the health and well-being of older people with health or care needs and of their informal carers. The objectives of this study were to scope and review the nature and extent of prior intervention studies involving ambient assisted living technology-mediated interventions for older people and their informal carers, and how and in what ways (if any) the goals and aims of these interventions reflected the domains of the World Health Organization framework for healthy ageing. METHODS We conducted a scoping review. Data were collected between June and October 2018 with an updated search in October 2020. A total of 85 articles were eligible for inclusion. RESULTS Nine categories described the aims and content of the included studies. The healthy ageing domain "Ability to meet basic needs" was mirrored in four categories, whereas "Ability to contribute to society" was not addressed at all. CONCLUSION The ways in which domains of healthy ageing are mirrored suggest that there is an emphasis on individual factors and individual responsibility, and a lack of attention given to broader, environmental factors affecting healthy ageing. Only a few of the studies used a dyadic approach when assessing health outcomes concerning older people and their informal carers.
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Affiliation(s)
- Maria Y. Nilsson
- Department of Health and Caring SciencesSwedish Family Care Competence Centre, Linnaeus UniversityKalmarSweden
| | - Stefan Andersson
- Department of Health and Caring SciencesSwedish Family Care Competence Centre, Linnaeus UniversityKalmarSweden
| | - Lennart Magnusson
- Department of Health and Caring SciencesSwedish Family Care Competence Centre, Linnaeus UniversityKalmarSweden
| | - Elizabeth Hanson
- Department of Health and Caring SciencesSwedish Family Care Competence Centre, Linnaeus UniversityKalmarSweden
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10
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Song Y, van der Cammen TJM. Electronic assistive technology for community-dwelling solo-living older adults: A systematic review. Maturitas 2019; 125:50-56. [PMID: 31133218 DOI: 10.1016/j.maturitas.2019.04.211] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 04/05/2019] [Accepted: 04/10/2019] [Indexed: 10/27/2022]
Abstract
The proportion of older adults who live alone in single households is growing continuously. In the care of these solo-living older adults, electronic assistive technology (EAT) can play an important role. The objective of this review is to investigate the effects of EAT on the wellbeing of community-dwelling older adults living alone in single households. A systematic review of English articles was conducted based on PMC, Scopus, Web of Science and the Cochrane database. Additional studies were identified from the references. In total, 16 studies were identified, six of them with follow-up. There is evidence that EAT can improve the physical and mental wellbeing of older adults. There was little evidence that EAT can improve social wellbeing. We conclude that more personalized designs and interventions, and more user engagement could be embedded in the design of EAT for solo-living community-dwelling older adults and that more evidence is needed regarding the effects of those interventions.
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Affiliation(s)
- Yu Song
- Faculty of Industrial Design Engineering Delft University of Technology, Delft, the Netherlands.
| | - Tischa J M van der Cammen
- Faculty of Industrial Design Engineering Delft University of Technology, Delft, the Netherlands; Section of Geriatric Medicine, Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
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