alexa Smart-Home Technologies to Assist Older People to Live Well at Home

ISSN: 2329-8847

Journal of Aging Science

  • Research Article   
  • Aging Sci 2013, Vol 1(1): 101
  • DOI: 10.4172/2329-8847.1000101

Smart-Home Technologies to Assist Older People to Live Well at Home

Meg E. Morris1*, Brooke Adair1,3, Kimberly Miller2,6, Elizabeth Ozanne3, Ralph Hansen3, Alan J. Pearce1,4, Nick Santamaria3,5, Luan Viegas1, Maureen Long1 and Catherine M. Said1
1Departments of Physiotherapy and Social Work, School of Allied Health, La Trobe University, Melbourne, Australia
2Department of Physical Therapy, University of British Columbia, Vancouver, Canada
3School of Health Sciences, University of Melbourne, Melbourne, Australia
4Cognitive and Exercise Neuroscience Unit, School of Psychology, Deakin University, Melbourne, Australia
5Royal Melbourne Hospital, Melbourne, Australia
6Department of Physiotherapy, University of Melbourne, Melbourne, Australia
*Corresponding Author: Meg E. Morris, Departments of Physiotherapy and Social Work, School of Allied Health, La Trobe University, Melbourne, Australia, Tel: +61 3 9479 6080, Fax: +61 3 9479 5768, Email: [email protected]

Received Date: Jan 21, 2013 / Accepted Date: Mar 02, 2013 / Published Date: Mar 07, 2013

Abstract

Background: With the rapid population ageing that is occurring world-wide, there is increasing interest in “smart home” technologies that can assist older adults to continue living at home with safety and independence. This systematic review and critical evaluation of the world wide literature assesses the effectiveness and feasibility of smart-home technologies for promoting independence, health, well-being and quality of life, in older adults.
Methods: A total of 1877 “smart home” publications were identified by the initial search of peer reviewed journals. Of these, 21 met our inclusion criteria for the review and were subject to data extraction and quality assessment.
Results: Smart-home technologies included different types of active and passive sensors, monitoring devices, robotics and environmental control systems. One study assessed effectiveness of a smart home technology. Sixteen reported on the feasibility of smart-home technology and four were observational studies.
Conclusion: Older adults were reported to readily accept smart-home technologies, especially if they benefited physical activity, independence and function and if privacy concerns were addressed. Given the modest number of objective analyses, there is a need for further scientific analysis of a range of smart home technologies to promote community living.

Keywords: Elderly; Older people; Smart-homes; Smart-technologies; Home

Introduction

We conducted a systematic review and critical evaluation of the effectiveness and feasibility of smart-home technologies to assist older adults to live well, safely and independently at home. Improved health and social care over recent years has increased life expectancy worldwide. As a result nearly 7% of the world’s population is now over 65 years of age [1]. The proportion of older people is predicted to rise approximately 20% by 2050 worldwide [1]. The increasing number and proportion of older adults requires a greater focus on policies and resources to meet their needs. Smart home technologies encourage and allow elderly people to live longer in their own homes [2].

Increased longevity is often associated with increased susceptibility to diseases and injury [3]. Chronic diseases such as cancer, diabetes, arthritis, heart disease and chronic obstructive pulmonary disease are common in older adults. Falls and injuries are also more common in elderly people [4]. It has been predicted that by 2035, the proportion of people with dementia will double [5] and by 2050, the number of fulltime carriers will have tripled [6]. With the current trends in population demographics, it is becoming increasingly difficult for governments worldwide to fully support the health and social care systems [7]. The use of smart technologies, including smart-homes could arguably relieve the pressure on aged care health and social support services [8].

Smart homes are purpose designed living spaces that provide interactive technologies and unobtrusive support systems to enable people to enjoy a higher level of independence, activity, participation or well-being than otherwise afforded [9,10]. The smart homes movement links together the fields of housing, technology, engineering, sociology, and healthcare in relation to robotics, sensors, tele-health, ergonomics, communications, social care and safety [11,12]. Home based smart technologies can sometimes enable people to live in their own home rather than being hospitalized or institutionalized [10]. Smart-home technologies can also promote independent living and safety. This has the potential to optimize quality of life and reduce the stress on agedcare facilities and other health resources [13].

The challenge with smart-home technologies is to create a home environment that is safe and secure to reduce falls, disability, stress, fear or social isolation [14]. Contemporary smart home technology systems are versatile in function and user friendly. Smart home technologies usually aim to perform functions without disturbing the user and without causing any pain, inconvenience or movement restrictions. Martin and colleagues performed a preliminary analysis of the acceptance of smart-home technologies [15]. The results from this review were limited as no studies met inclusion criteria [15]. Given however, the rapid progression of new smart home technologies, a new systematic review of the literature is required. This paper addresses that need by analysing the range of studies undertaken to assess the impact of these technologies on the quality of life experienced by an ageing population accessing these supports. The broader context incorporates consideration of the social and emotional well-being needs of this population. The current review aimed to answer the following research question: “What is the effectiveness of smart-home technologies for promoting health, well-being and quality of life enabling older people to remain living at home and in the community”? Smarthome technologies are generally installed in a person’s community based residence. Therefore, we also investigated the feasibility, acceptance and perceptions of these forms of technology in a home environment.

Methods

Search strategy

The database search was conducted in November 2012 The following databases were searched: MEDLINE, Web of Science, CINAHL, Scopus, Rehabilitation Reference Center, Nursing Reference Center, Cochrane Central Register of Controlled Trials, Inspec, Compendex, SocINDEX, PsychINFO and Sociological Abstracts. These databases were chosen as they cover a broad range of disciplines ranging from health to social sciences and the life sciences.

A variety of search terms synonymous with keywords such as ‘elderly’ and ‘smart homes’ were combined using Boolean logic. An example of the search strategy utilized for the MEDLINE search is given in table 1.

Keyword Synonyms
Elderly Middle aged or Aged or Aged, 80 and over or Age* or Aging or Elder* or “Older adult*” or “Older person” or “Older people*”
Smart-home “Smart home*” or “ambient assisted living” or “ubiquitous home*” or “ubiquitous technology*” or “electronic assistive technology*” or “social alarm” or “telecare social alert platform*” or “environmental control system*” or “automated home environment*” or telehomecare or “Home Automation”
Note: Synonyms for the two keywords were combined to create search strategy.

Table 1: Example of search strategy for MEDLINE.

Study selection

A trained reviewer scanned the titles of the entire yield once the search was completed. Duplicates and articles that did not meet inclusion criteria were removed. The titles and abstracts of the remaining articles were then reviewed independently by two trained reviewers against pre-determined inclusion criteria. Studies that were judged to be irrelevant were excluded. If the reviewers were unsure, studies remained for review of the full text. Data extraction and quality assessment were performed for the full texts that met inclusion criteria. Any discrepancies in study inclusion or data extraction were reconciled by mutual agreement.

Selection criteria

The selection criteria for this review are shown in table 2. Articles were included if they were published in English, in a peer reviewed text, and were available as full works. Because of the rapid progression in technology [16] and the relative lack of information in earlier years [15], articles published before January 2000 was excluded. This study was interested in original information regarding the effectiveness or feasibility of smart-home technologies. Accordingly, the search was limited to intervention or feasibility studies. Narrative reviews and other systematic reviews were excluded as they did not meet inclusion criteria. For the purpose of this review, studies were considered to assess the effectiveness of the smart home technology when they were randomized control trials or if they incorporated an intervention period with an assessment before and afterwards.

Inclusion Criteria Exclusion Criteria
•Assessed smart-home technologies.
•Published in English and available in full-text from peer review journals.
•Assessed effectiveness or feasibility.
•Set in a home environment.
•Included participants aged ≥ 45 years.
•Published before January 2000.
•Set in other environments such as nursing homes or rehabilitations settings.
•Books, PhD or Masters theses and abstracts from conference presentations.
•Studies focussed on tele-health, tele-medicine or tele-rehabilitation.
•Narrative reviews and other systematic reviews.

Table 2: Inclusion and exclusion criteria.

‘Home’ was defined as a person’s place of living, according to the Merriam Webster Dictionary [17]. A ‘home’ environment may include a private residence, supported accommodation, independent living, retirement villages and service-integrated housing. Due to issues with patents and intellectual information and residents not wanting to make permanent modifications to their homes for the purpose of a study, some researchers may choose to use purpose built smart-homes which are often associated with laboratories. Such settings were also included as people were able to live in the ‘house’ and the setting was therefore considered to be a ‘home’ environment. Hospital environments and nursing home facilities sometimes provide residents with considerable physical and psychological assistance, often by trained professionals. Consequently studies in nursing homes and hospitals were excluded.

Throughout this study a broad definition of “older people” was adopted as defined by MeSH definitions. These were ‘middle-aged’ (aged 45-64 years), ‘aged’ (65-79 years) and ‘aged 80+ years’. Thus, studies which included any participants 45 years or older were considered for our systematic review. Tele-rehabilitation and tele-health have been topics of interest in recent years, particularly with the ongoing management of various chronic conditions [18].

This form of technology generally involves interaction with a remote health practitioner and is therefore still reliant on the medical system for support. Consequently, studies of tele-rehabilitation or tele-medicine based management techniques were excluded from this particular review and we reviewed that material separately. There are multiple forms of technology that may help to assist older adults in their home environments. It was beyond the scope of this paper to review the robotics, gaming or social inclusion literature. We have reviewed these separately. Instead, the focus of this paper was specifically on types of technology that can be used in a home environment which either interacts with or provides direct information to the user without the need for another individual.

Data extraction and quality assessment

Data extraction was performed using a customized data extraction form. Details such as the aims of the study, the settings where the study was performed, the methods of recruitment and sampling, feasibility, outcome measures and results were recorded. When considering the appropriateness of different technologies it may be beneficial to consider the amount of assistance and training required for use. The role of smarthome technologies is often to assist residents by performing a task they are no longer able to do. In this way, many smart-home technologies should be able to work independent of the people who reside in the house. As a result the level of assistance has not been reported in this study. Due to the heterogeneity of results and the lack of randomized controlled trials, a meta-analysis was not feasible in this study. Instead a summative synthesis of results was performed [19].

As this study aimed to highlight intervention studies, the Downs and Black [20] quality checklist was chosen. This tool has been specifically designed to assess the quality of randomized or nonrandomized intervention studies [20]. The tool has 27 items which are generally answered as ‘yes’, ‘no’ or ‘unable to determine’. Scores are assigned to each answer and are summed to create a total quality score. The last item of this tool was found to be ambiguous. Similar to previous studies which also used this tool, the last item was removed resulting in a 26-item checklist [16,21,22]. The highest possible score in the revised version of the tool was 27.

Results

The initial search of the selected databases yielded a total of 1877 publications. The number of articles assessed at each stage of this review is shown in figure 1. Many articles were excluded because they focused on describing different forms of smart-home technology and the electronic architecture behind them, rather than assessing their effectiveness or feasibility [23]. Several studies were initially considered appropriate for inclusion but following more detailed review were excluded for various reasons. One study tested a new program but was excluded because the reviewers felt the technology included more tele-health than smarthome components [24]. A study by Croser et al. [25] was originally included as it investigated the effectiveness of different technologies on activities of daily living in people with various disabilities. On closer review it was noted that although the study included one person older than 45 (58 years old) it also included data from three children (aged 6-13 years) [25]. Theoretically, the feasibility and effectiveness of smart smarthome technologies may be different in children compared with the elderly. Consequently this study was excluded.

aging-science-Yield-studies

Figure 1: Yield of studies identified during each step of this review.

Study characteristics

In total, 21 studies underwent data extraction. A description of each of the articles included in this review is provided in table 3. One assessed the effectiveness of smart-home technologies and was also assessed for its methodological quality [26]. Sixteen studies reported on feasibility or perception of smart-technologies [27-43]. Three studies, based on an observational design, described how smart technologies worked with various participants and often combined qualitative comments regarding feasibility [44-46]. One study was described as a cohort study and described the ability to perform activities of daily living using a form of smart-technology [45]. This study did not use a control group or perform comparison measures and therefore was not considered to report on the effectiveness of the smart-home technology [45].

Study Level of evidence Study design Study aims Description of ST Setting of ST Region Sampling strategy
Beckwith [43] IV Qualitative Acceptance and perceptions Door switches, movement sensors, bed load cells, individual tracking badges. Residential care already equipped with ST North America ND
Boll et al. [27] IV Qualitative Acceptance and usability Reminder system/ personal household assistant. NA Europe ND
Carabalona et al. [46] IV Descriptive/ qualitative To compare usability of different types of BCI. BCI-method to enable interaction and control of devices using EEG signals. Smart home built in laboratory setting Europe Consecutive
Courtney [28] IV Qualitative Acceptance and perceptions Bed, kitchen and motion detectors and fall sensors. Residential care facility-no skilled nursing care North America ND
Courtney et al. [29] IV Qualitative Acceptance Sensors: Bed, motion, kitchen safety and falls detection. Retirement Village North America ND
Craig et al. [45] III-2 Cohort study Effectiveness of ST at assisting ADLs Hands free environmental control system e.g., using brain signals to control their television. Home Australia/ Oceania ND
Davenport [30] IV Qualitative Initial reactions of an elderly person in a smart-house Smart wave (microwave), floor tracking system, security system and voice activated applications. GatorTech smart house North America ND
Demiris et al. [31] IV Qualitative Acceptance and perceptions Including bed sensors, gait monitor, stove sensor, motion sensor and video sensor Retirement Village North America ND
Demiris et al. [32] IV Qualitative Acceptance and perceptions Various sensors including motion, pressure temperature sensors throughout facility Retirement Village North America ND
Demiris et al. (2008) [33] IV Qualitative Perceptions and expectations Sensors and cameras-minimal description Retirement Village North America ND
Franco et al. [34] IV Qualitative Feasibility Sensors to detect electricity use to determine activities Home Europe ND
Govercin et al. [35] IV Qualitative Requirements and feasibility for sensors Optical fall sensors and wearable fall sensor NA Europe ND
Johnson et al. [36] IV Qualitative Feasibility and acceptance Floor tracking system, remote monitoring system, voice activated commands, smart wave, smart doors GatorTech smart house North America ND
Judge et al. [37] IV Qualitative Perceptions and feasibility Speech-driven environmental control systems Home Europe Convenience
Lofti et al. [44] IV Descriptive Ability of sensors to monitor activity Standard set of sensors – movement and door entry point. Home Europe ND
Martin et al. [38] IV Qualitative Feasibility and perceptions Electronic sensor and user interface eg sensors for door, presence and kitchen utensils Supported accommodation Europe Convenience
Rosenberg [39] IV Qualitative Readiness of significant others and dementia sufferers to use ST Assistive technologies such as devices for planning and reminders, cell phones, GPS, and a remote control. NA Europe ND
Suryadevara and Mukhopadhyay [40] IV Qualitative Elderly wellness monitoring Sensors dispersed around the home to detect ADLs. Including on beds, chairs, attached to panic buttons and kitchen and living room appliances. ND – assume home Asia ND
Tang et al. [41] IV Qualitative Impact on adherence to medication plan Multimedia healthcare system that incorporates an online medication plan, recognition of medicine information and advice, coupled with a reminder system. Smart-home (set in a university laboratory) Asia ND
Tomita et al. [26] II RCT Effectiveness of smart-home technologies Multiple sensors, remote controls and security system Home North America Consecutive
van Hoof et al. [42] IV Qualitative Acceptance and feasibility Unattended Autonomous Surveillance System (incorporating sensors and voice controls) Home with increased services Europe ND
Note: Intervention study has been highlighted in bold. ST=Smart-home technologies; level of evidence=grades suggested by the NHMRC; ND=not documented; NA=not applicable; BCI=brain-computer interface; EEG=Electroencephalography, ADLs=activities of daily living; RCT=randomised controlled trial; GPS=global positioning system.

Table 3: Study characteristics.

According to the National Health and Medical Research Council of Australia guidelines, the level of evidence of most of the studies was grade IV. Most studies assessed the various sensors available for use in smart-homes. Five studies were set in purpose built smart-homes or residences already incorporating smart-technologies [30,36,41,43,46]. Three studies used focus groups to discuss the potential for smarttechnologies and were therefore not based in any particular setting [27,35,39]. Consequently the settings for these studies were recorded as not applicable.

Participant characteristics

The characteristics of the participants in the included studies are shown in table 4. The sample size ranged 1-78. While some studies included younger people the age of the participants in most studies was over 65 years. The health characteristics of study participants were heterogeneous. Some studies included healthy older adults, while others included participants with neurological deficits. Four studies assessed the perceptions of carriers, facility staff or family members of elderly people [35-39,43].

Study N Age (years) Health characteristics Gender
Mean (SD) Range Male Female
Beckwith [43] 29 ND ND 9 residents (dementia), 10 family members, 8 direct-care staff, 2 managers ND ND
Boll [27] 74 66 (5.3) ND Only characteristic described was hearing impaired (unsure of number) ND ND
Carabalona [46] 9 Median=49 ND Neurodegenerative diseases 3 6
Courtney [28] 14 ND >65 ND ND ND
Courtney et al. [29] 11 ND >65 ND ND ND
Craig et al. [45] 10 42.9 (8.9) ND Neurological-SCI and profound disability 8 2
Davenport [30] 1 78 NA Healthy older adult 0 1
Demiris et al. [31] 14 ND >65 ND 5 9
Demiris et al. [32] 9 ND >65 ND ND ND
Demiris et al. [33] 15 ND >65 ND 7 8
Franco et al. [34] 13 83 ND Health older adults, one with Alzheimer’s Disease 2 11
Govercin et al. [35] 22 Group 1=75
Group 2=68
Group 3=66
Group 1: 68-84
Group 2: 60-76
Group 3: 50-85
Group 1: mod-severe disability with mild-severe risk of falling; Group 2: slight disability with low falls risk; Group 3: healthy relatives of participants with severe falls risk 6 16
Johnson et al. [36] 18 77 68-92 Heterogeneous group-group with mobility and visual impairments and one with no significant impairments 6 12
Judge et al. [37] 12 50* 36-68 MND, SCI, MS, ACS, quad ND ND
Lofti et al. [44] Unclear ND ND Dementia ND At least 1
Martin et al. [38] 7 NA NA Carers of people with dementia ND ND
Rosenberg et al. [39] 16 ND 45-78 Significant others of people with dementia 5 11
Suryadevara et al. [40] 4 ND ND ND ND ND
Tang et al. [41] 5 ND >60 Patients needing to take a particular medication 4 1
Tomita et al. [26] 78 Smart homes=72 (6.0)
Control=75.6 (3.4)
ND Elderly people living at home with chronic health conditions but no cognitive impairments 9 69
Van Hoof  et al. [42] 12 79.2 (at first interview) 63-87 Heterogeneous group 2 10
Note: Intervention study highlighted in bold. SD=standard deviation; ND=not documented; MND=motor neuron disease, SCI=spinal cord injury, MS=multiple sclerosis, ACS=Arnold-Chiari syndrome, quad=quadriplegia; *=some ages missing in description therefore calculated mean age may be incorrect.

Table 4: Participant characteristics.

Feasibility of smart-home technologies

Details regarding the feasibility of smart-technologies as reported in different studies are provided in table 5. Four studies identified possible safety issues. These included an increased risk of tripping on misaligned carpet [30], systems failing during emergencies [37], the possibility that incorrect medication dosages could be taken but not recorded [41] and concerns regarding the functioning of home adaptations during power outages [42]. Nine studies identified privacy issues arising from utilization of smart-home technologies [28,29,31-35,42,43]. Two reported that privacy was a barrier to people choosing to install and use smart-home technologies [28,29]. Most of the participants reported that cameras and monitoring systems invaded their privacy and left them with a sense that they were being watched.

 Study Potential safety issues Potential privacy issues Cost Training*
Beckwith [43] ND Some disagreement between author and participants regarding privacy issues ND ND
Boll et al. [27] ND Discussed but not encountered ND ND
Carabalona et al. [46] ND ND ND Manual provided before testing
Courtney [28] ND Privacy concerns caused rejection of some technologies ND NA
Courtney et al. [29] ND Some participants rejected smart home technologies due to privacy concerns ND NA
Craig  et al. [45] ND ND ND Brief instructions pre-trial in home
Davenport [30] Misaligned carpet may cause tripping ND ND Training in voice commands and given a list of commands
Demiris et al. [31] ND Privacy concerns (n=2) ND NA
Demiris et al. [32] ND Some participants felt that video monitoring may impact on privacy ND ND
Demiris et al. [33] ND Voiced concerns regarding possible privacy violations resulting from use of cameras ND NA
Franco et al. [34] ND 12 people did not like being monitored ND ND
Govercin et al. [35] ND Some felt optical sensors invaded privacy ND NA
Johnson et al. [36] ND ND ND NA
Judge et al. [37] People described system failure during emergencies, in particular recognition of voice or commands ND ND ND
Lofti et al. [44] ND ND “low cost” ND
Martin et al. [38] ND ND ND ND
Rosenberg et al. [39] ND Safety considered more important than privacy while utilising technology eg GPS ND NA
Suryadevara et al. [40] ND ND “low-cost” ND
Tang et al. [41] Possibility raised that the wrong dosage could be taken ND ND ND
Tomita et al. [26] ND ND <$400 Instructions on set-up and the option of ongoing assistance if necessary
Van Hoof  et al. [42] Concerns about not being able to open electronic doors with a power outage. Some false alarms noted. One participant had the ST removed from her home due to privacy concerns. <13500€ ND
Note: Intervention study highlighted in bold. *=if study documented whether training was required or provided in order to use the smart-technology; ND=not documented;
NA=not applicable because using focus groups to assess perceptions of smart-technology therefore not performed in a particular setting; GPS=global positioning system.

Table 5: Feasibility of smart-home technologies.

Many of the studies did not document the cost of the smarttechnologies nor the level of training required to use it. Two reported ‘low cost’ technology [40,44], one quoted less than $400 [26] and one study reported that the highest price to retro-fit a home was €13500 [42]. Four studies reported satisfactory use with only brief training provided when the technology was installed or before the assessments were performed [26,30,45,46].

Overall the studies that assessed perceptions and acceptability found that smart-home technologies were generally readily accepted and thought to be helpful [28,30-33,35-46]. The breakdown of the results for these studies is provided in table 6.

Study Dosage Key dependent variable Primary outcome measure Results D+B score
Tomita et al. [26] 2 years full time in home Functional status Primary: FIM. Secondary: IADL, mobility subsection of SIP and CHART All functional motor measures except for the FIM Motor deteriorated significantly in the control group but not in the intervention group: SIP Movement (p<0.001); IADL (p<0.05); CHART Mobility (p=0.002). FIM cognition scores were significantly higher in intervention group (p=0.006). 18
Beckwith [43] NA NA NA Ambient intelligence technologies can contribute to increased safety (especially to reduce falls). NA
Boll et al.  [27] NA NA NA Participants felt that reminders regarding security and safety were important. The evaluation results show a preference for acoustic presentations, alone or in combination with visual and tactile output. Many participants felt they would be willing to use the ST in the future. NA
Carabalona et al. [46] NA NA NA The two forms of BCI require the user to have reasonable memory and the good cognitive function. High degrees of satisfaction were found for both types. Users found the BCI that used icons harder to use than the one which relied on spelling out the task-accuracy for the character/letter speller=80%, icon speller=50%. NA
Courtney et al. [28] NA NA NA Participants agreed to some STs but felt they wanted to be able to choose which ones they needed. Privacy can be a barrier to acceptance of ST unless the participant felt they needed a particular ST. NA
Courtney et al. [29] NA NA NA Privacy was a barrier for the adoption of smart home technology for some participants. More often perception of need was the main reason for whether technologies were accepted or not. NA
Craig et al. [45] NA NA NA Time taken to select an option decreased slightly with 3 occasions (p=0.03), mean number of errors decreased significantly (p<0.05). With practice most participants were able to reduce their time to select (small reductions). Mean likert score for potential of ST to control devices in their own home 9.45 (SD=0.76) [1=not useful, 10=very useful]. NA
Davenport [30] NA NA NA The house was able to successfully track the participant's location and frequency with which ST were utilised. NA
Demiris et al. [31] NA NA NA Most smart technologies were perceived as useful and most participants would agree to installation in their own home. Findings indicate an overall positive attitude. NA
Demiris et al. [32] NA NA NA Residents expressed overall positive perceptions of the sensor technologies and did not feel that these interfered with their daily activities NA
Demiris et al. [33] NA NA NA Overall positive response to ST. Emphasised that devices installed in their homes can be of great benefit when they are reliable, user friendly, can detect a range of emergencies, require minimal action on the part of the user, have low maintenance costs and are not obtrusive. NA
Franco et al. [34] NA NA NA Daily and nocturnal activity could be well differentiated. The probability of having eaten, taken a bath and going to the toilet could be calculated each day, with eating the most accurate. NA
Govercin et al. [35] NA NA NA Wearable sensors were preferred over optical sensors because they worked outside the home. Those with an increased risk of falls were less concerned about privacy. NA
Johnson et al. [36] NA NA NA Favoured applications depended on individual impairments. Applications that most people favoured were the smart front door and voice activated commands. Many participants felt the STs were a good idea but not appropriate for them at the time. NA
Judge et al. [37] NA NA NA Participants felt the ST is occasionally unreliable but can help to improve independence. NA
Lofti et al. [44] NA NA NA Was able to detect abnormal behaviors that occurred with medication changes, such as wandering in the middle of the night. NA
Martin et al. [38] NA NA NA Overall staff perceived technology in a positive way and felt that ST supported their work. The service model is innovative and assists care staff to manage risks in a vulnerable population. NA
Rosenberg et al. [39] NA NA NA Patient's significant others were ready to accept technology if it benefitted the patients. Technology that enhanced safety, promoted an active lifestyle and maintained intellectual abilities of the patients were welcomed. Ensuring technologies were incorporated into existing habits, were flexible and non-stigmatizing were essential for acceptability. NA
Suryadevara et al. [40] NA NA NA The sensor system registered when a participant was unwell and spent more time in bed and also when they spent longer amounts of time sitting on one day NA
Tang et al. [41] NA NA NA Usability: 3 participants found it easy to use.
Adherence to medication: The context-aware prompting resulted in significantly better adherence (90.1%) as compared to the non-prompting (75.8%).
NA
Van Hoof et al. [42] NA NA NA Most participants felt that STs could be used to support ageing-in-place and could be beneficial where traditional approaches may fail NA
Note: Quality assessment scores, dosage and dependent variables are only reported for intervention studies. Intervention study highlighted in bold. D+B=Downs and Black quality checklist. ST=smart-home technologies; BCI=brain-computer interface; NA=not applicable; ND=not documented; FIM=Functional Independence Measure; IADL=Duke Older Americans Resources and Services Procedures’ IADL; ADL=activities of daily living; SIP=functional mobility subsection of Dysfunction section of Sickness Impact Profile; CHART=Craig Handicap Assessment and Reporting Technique.

Table 6: Study results.

Effectiveness of smart-home technologies

One randomized controlled trial was identified in this systematic review [26]. This study compared the change in functional status in people who had smart-technologies installed in their homes compared to those with no home modifications. Results from this study suggest that functional status and cognition deteriorate in the general elderly population and that the use of smart technologies may help to maintain these aspects and encourage ageing in place [26]. The results from this study are shown in table 6.

Quality assessment

Most of the articles identified in this review were qualitative and few were intervention studies. The investigation by Tomita et al. [26] scored 18 points out of a possible 27. Several factors were not reported in the article, which impacted on the overall quality assessment score. These included the lack of investigation or reporting of adverse events and the brief description of the source population, blinding, recruitment and sampling methodology.

Discussion

This systematic review highlights the wide range of smart home technologies currently available to support older adults to live at home. These included passive and active sensors, monitoring systems, environmental control systems and electronic aids to daily living. While a large number of appliances may be available, the review also identified the relatively small number of studies that actually investigated their effectiveness at helping the older adults to live independently at home.

The majority of articles identified in this systematic review were qualitative in design. Some documented whether older adults were able to use smart-home technologies. Other articles addressed the preferences for different technologies and the overall acceptability of devices in the home environment. Qualitative research assists evidence-based, patient-centred care [47,48] and is arguably crucial when attempting to implement changes in the homes of older people. This systematic review found that older adults and health professionals considered smart home technologies to be beneficial. These forms of technology were thought to increase safety and security around the home. Many participants felt that smart-technologies may help to improve their independence. While it was not formally addressed in the identified studies, it is possible that improvements in safety, security and independence may also have a positive effect on quality of life in this population.

The results of this review identify important feasibility issues that should be considered in the development and implementation of the smart home technologies. The primary barrier to the adoption of smarthome technologies by older adults was privacy concerns [28,29,31-35,39,42,43]. Privacy is therefore a crucial consideration in the design of future smart-home technologies. Most smart-home technologies could be used with little assistance or training. Some safety concerns were identified related to malfunctioning of technology; highlighting the importance of contingency systems for events such as power outages. While the included articles reported varied costs, there were few reports about the cost of smart-technologies. With further commercialization, it is possible that the cost of smart home technologies will reduce, thereby increasing their availability and utilization in home environments.

The results showed that smart-home technologies could accurately detect abnormal movement or behaviours [44] and were appropriate methods to control various electronic devices [45,46]. To date, one randomized controlled trial has been performed to assess the effectiveness of smart-home technologies in an elderly population [26]. Longitudinal studies are likely to be required to adequately assess the effectiveness of smart-technologies. Moreover, multiple factors, such as finances, social circumstances, family and level of independence are considered when a person chooses where they will live. For example, a study may assess how long people with smart-technologies can live in their own homes compared with people who do not live in a smarthome. Even if the smart-technologies can physically assist a person, they may move out due to financial stress or to be closer to family members. Future studies may need to consider these aspects in their design, and at least comment on confounders if they cannot be controlled.

Many of the studies identified in this review were performed in North America or Europe. More research may be beneficial to assess the feasibility of smart-technologies specifically in Oceania and Africa. Recently, Western governments have recommended major expansion of housing support services [49]. For example, the Australian agedcare housing industry is now incorporating new technologies to assist older people to live more independently at home and in supported accommodation [50]. Theoretically, people living in rural or remote areas may have different experiences to smart-technologies to people in larger cities. It may also be appropriate to consider assessing the feasibility and effectiveness of smart-home technologies in different communities as well as different countries.

One limitation of this study was the decision to limit the search to articles published in English. The technological advances often found in other regions, such as Asia, may mean that other studies have been conducted on this topic but have been published in other languages and were consequently missed. Given the volume of articles, it was not feasible to include all forms of technology that may assist elderly people to live at home. As a consequence, articles reporting on studies of telemedicine were kept for a separate analysis. There appears to be some cross-over between technologies considered under the guise of telehealth and those under smart-homes. The exclusion criteria and search terminology created a manageable yield for this review but may have resulted in the exclusion of important articles of what some researchers may consider to be smart-home technologies. While appropriate for this review, limiting the articles to studies set in a home environment may have excluded important results collected during laboratory-based investigations.

Conclusion

A variety of smart-home technologies are available that are readily accepted by older adults and their family members, healthcare professionals and carriers. The feasibility and utilization of smart-technologies can be improved by addressing issues related to safety and privacy. In addition, exploring how feelings of safety and more control over one’s life contributes to social and emotional well-being as well as the capacity to continue participating in outside interests and activities. While the outcomes and cost effectiveness of these forms of technology remains to be assessed, they appear to show some potential for helping older adults to live longer, safely and independently in their own homes.

Acknowledgements

This work was supported by a Grant from the Institute for a Broadband- Enabled Society (IBES). The authors of this study would like to thank Tania Celeste for assistance in developing the search terminology employed during this review.

References

Citation: Morris ME, Adair B, Miller K, Ozanne E, Hansen R, et al. (2013) Smart-Home Technologies to Assist Older People to Live Well at Home. Aging Sci 1: 101. Doi: 10.4172/2329-8847.1000101

Copyright: © 2013 Morris ME, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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