- Research article
- Open Access
Smart@home – supporting safety and mobility of elderly and care dependent people in their own homes through the use of technical assistance systems and conventional mobility supporting tools: a cross-sectional survey
BMC Geriatrics volume 21, Article number: 205 (2021)
The use of technical solutions and conventional mobility supporting aids can support the independence of people into old age in their own homes. However, we found relatively few empirical investigations on the effects and costs of these systems.
The aim of the study was to investigate usability, user satisfaction and the correlation between costs and benefits of different built-in smart home solutions and conventional mobility supporting tools in the home of elderly, partially care-dependent tenants (> 65 years). A cross-sectional survey was conducted from February to March 2018 with tenants of a housing association in apartments equipped with smart home technology and conventional mobility supporting tools. The response rate in the intervention group was n = 37 persons (out of 46 tenants with installed smart home and conventional solutions) and in the control group n = 64 persons (out of 100 tenants without built-in smart home and conventional solutions). Data were collected by a written questionnaire regarding usability and satisfaction of the tenants with the built-in smart home solutions and conventional mobility supporting tools. In addition, both the intervention and the control group were asked general questions about communication, safety and how to deal with the need for long-term care in their own living environment.
Results showed that with regard to usability, satisfaction and price performance ratio of the installed smart home solutions, the installation of the corresponding solutions with an overall score of 1.41 (on a scale of 1 (very good) to 6 (unsatisfactory)) was mostly positively evaluated by the tenants. Overall, users rated the installed smart home solutions better than the conventional mobility supporting tools (such as handholds and increased balcony floor level).
Analysis of the price performance ratio showed that smart home solutions are generally more expensive than conventional tools, but also contribute significantly to an increased security of the tenants, and thus may enable longer living in a familiar environment. We recommend modularized offers consisting of various components of smart home solutions, since this significantly reduces installation costs and allows for an individual composition according to requirements. Moreover, smart home solutions should be considered to be listed as medical aids.
Information and communication technologies are becoming increasingly important in the care of the elderly and persons in need of care [1, 2]. These technologies include the so-called smart home, which by definition is an information and sensor technology upgraded home that is networked within itself and externally . Certain technical solutions can promote or maintain the independence of people into old age [4, 5]. In the meantime, more and more technical solutions are available for easy-to-use, barrier-free and age-appropriate care at home [6,7,8]. The need for such applications becomes essential in particular due to socio-demographic changes, the lack of skilled nursing staff, an increase in single and childless households as well as increasing mobility and growing distances between (care-receiving) parents and adult children. These changes in population and care structure are creating new demands and specific challenges for the entire health care system [9, 10].
The expected increase in the number of people in need of long-term care from 2.5 million in 2013 to up to 3.5 million in 2030  is also expected to result in a growing proportion of old and very old people living in their own homes and/or receiving care there. Currently, about three quarters of all care recipients in Germany are cared for at home . This corresponds to the desire of most people in need of long-term care to be cared for in their own homes  and also follows the guiding principle of the reform of the social long-term care insurance of “outpatient before inpatient” [14, 15].
With regard to the outpatient sector, intelligent living environments (smart home solutions) can provide important and necessary support for people in need of help and/or care in coping with their everyday life, maintaining their state of health and autonomy, social participation and increasing their security. In order to meet the desire of most people to be able to live as long and safely as possible in their own homes [16, 17], technical solutions and aids must meet special requirements . They should be reliable, user-friendly, suitable for everyday use and robust, and also provide various expandable functions, such as fall detection sensors with integrated emergency call function and intelligent light strips for a safe orientation at night .
Nevertheless, besides the new smart home solutions, conventional mobility supporting tools, meaning non-technical/non-sensor-based aids, such as grab handles, service sockets and balcony elevations for easy entry and exit are well-known aids, which have been commonly installed and are still being used in apartments for older adults.
The present study was conducted to determine the extent to which smart home solutions and conventional mobility supporting tools can contribute to promoting and maintaining the independence of older adults and to increase safety in their own homes. Therefore, residents from a housing facility living in apartments with and without installed smart home solutions and conventional mobility supporting aids participated in the study, answered questions in a questionnaire, and finally returned them anonymously to the housing facility (data collection location). The following research questions were addressed in the investigation:
How do residents evaluate the effective use of smart home solutions and conventional mobility supporting tools in their own homes?
What is the price and quality performance ratio of the smart home solutions and conventional mobility supporting tools, taking into account the resulting benefit (efficiency) for the tenants?
The first research question addressed older adults’ general perceptions on how secure they feel in their own apartment and how smart home solutions and conventional mobility supporting tools may add to a secure living environment. In addition, residents from the intervention group were asked how they evaluated the installed smart home solutions and conventional mobility supporting tools. The Null hypothesis states that there is no difference between the intervention and control group. This approach allowed us to get a full picture on older adults’ general security perceptions with regard to smart home solutions and conventional mobility supporting aids to be possibly installed in future in combination with an evaluation of actually installed solutions. The comparison between smart (technically based) solutions and conventional (non-technical) mobility supporting aids was drawn in order to investigate which kind of solutions (technical or non-technical – or maybe a combination of both) support tenants’ needs for a secure living in the best possible way.
Based on the answers of the intervention group on quality performance, the second research question combined quality and price performance in order to find out, if highest prices correspond to best quality, and if best rated solutions are technical (smart home solutions) or non-technical (conventional mobility supporting tools).
The present study was conducted from February to March 2018 in a district with an above-average number of elderly people. As part of a cross-sectional survey, tenants at the age of 65 to 90+, some of them living independently, others in need of care (Table 1), were asked to fill in a questionnaire (Supplementary file 1). In their apartments, individual smart home solutions and other conventional mobility supporting aids such as grab handles, service sockets and balcony elevations for easy entry and exit were previously installed between one and six months before study participation. The survey focused primarily on the aspects of the need for care, communication/social contacts and security (Table 2). The questionnaire was pre-tested for comprehensibility and legibility by researchers and nurses in Geriatrics, and modified accordingly.
The written survey was conducted by means of questionnaires with an enclosed stamped envelope. The survey included all tenants aged 65 to 90+ years of a municipal social housing association, in 27 of whose apartments smart home solutions and/or conventional mobility supporting aids to support mobility had been installed. The apartments are located in a large city near the city center and are available for socially disadvantaged persons with lower incomes. As a control group, a random selection of 100 additional tenants with the same age structure was available, in whose apartments no smart home solutions or conventional mobility aids had been installed so far. In order to ensure the highest possible response rate, the tenants had the opportunity to complete the questionnaire at home. The tenants could either return the completed questionnaire directly by mail in a stamped envelope or in a sealed envelope to the housing association.
Tenants with installed smart home and conventional solutions were provided with information on the study and the course of the investigation at an information event. Afterwards they had the opportunity to fill in the 2-page questionnaire (Supplementary file 1) directly on site or to take it home and return it afterwards. Tenants of the control group received a letter from the research group by internal mail from their housing association with explanations of the survey and a 1-page questionnaire with a stamped envelope. The data collection was carried out according to the medical-ethical principles of the Ethics Committee of the State of Berlin.
The questionnaire was developed by the authors based on literature review and usability criteria developed in further research projects on care-dependent geriatric residents and patients with the use of new technologies and consisted of three parts in total. In the first part, demographic data was collected. In the second part of the questionnaire, the participants were asked to give an assessment of various aspects of their individual housing situation in order to be able to compare the intervention and control group with regard to need for care, communication/social contacts and security in combination with smart home solutions (Table 2). The respondents were able to indicate whether and to what extent the statements on the questionnaire were applicable using a 5-level scale (1 = “fully agree”; 2 = “rather agree”; 3 = “partly agree”; 4 = “rather not agree”; 5 = “not agree”). In the third part of the questionnaire, tenants with built-in solutions were asked about their satisfaction with the smart home solutions which had been installed as well as other built-in conventional mobility supporting aids (Table 3 offers a complete list of sensors and aids installed). In order to assess user satisfaction with the installed solutions, the participants in the intervention group were given a scale of 1 (very good) to 6 (unsatisfactory).
Data were screened prior to analysis for any anomalies (e.g., missing data, outliers, and nonnormality). Data were analyzed using SPSS Statistics for Windows, Version 24 (Statistical Package for the Social Sciences, Chicago, Illinois). Data analysis was primarily descriptive. Scales used were interpreted pseudo metrically resulting in an analysis with mean values (standard deviations), since the use of medians did not allow for sufficient discrimination. Statistical significance of the contingency table (Table 2) was tested by Pearson’s chi-square test.
The cost-benefit analysis focused on quality, price and performance. Price performance ratio and the quality of the installed solutions – smart home solutions and conventional mobility supporting aids –were analyzed and evaluated accordingly. In determining the best price performance, the price of the installed solutions was compared to tenants’ evaluation of the installed solution, while quality performance was determined exclusively on the basis of tenants’ evaluation. Prices of the smart home solutions and conventional mobility supporting aids are displayed separately.
The price and quality assessment of the installed solutions (Table 4) was based on the individual prices for each solution, as given by the manufacturer, in combination with the perceived utility evaluation (quality) with grades ranging from 1 (very good) to 6 (unsatisfactory) as rated by the individual tenants. In a first step, ratings on the conventional mobility supporting aids were looked at separately from the smart home solutions, and in a second step, they were compared with each other.
The response rate was above average in both groups surveyed. A total of 37 of the 46 tenants with installed smart home solutions and/or conventional mobility supporting aids submitted the completed questionnaire, which corresponds to a response rate of 80.4%. In the control group, 64 questionnaires were returned from a total of 100 questionnaires sent out, which corresponds to a response rate of 64%.
The first part of the questionnaire was used to collect general personal data. Almost three quarters (74.3%) were between 65 and 80 years old, 25.7% were over 80 years old. Among the tenants in the control group, 63 persons indicated their age, 58.7% of whom were between 65 and 80 years old and 41.3% over 80 years old. In both groups, more than three quarters of the respondents were female. With regard to their housing situation, 42.9% of the tenants with installed smart home solutions stated that they were living alone, which was true for a significantly larger proportion of tenants in the control group, namely 61.7% in total. 43.8% of the tenants in the intervention group were in need of care. In the control group, on the other hand, this was true for a significantly lower proportion, namely 13.6% of the tenants surveyed (Table 1). Of the 37 tenants in the intervention group, a total of 15 persons (40.5%) were in need of long-term care, with care degrees 1 and 2 (care degrees (Pflegegrade) in Germany range from 1 = minor impairment of independence or skills to 5 = severe impairments of independence or abilities that are associated with special demands on nursing care) being the most frequently represented with a share of 33.3% each. None of the tenants in this group had the highest degree of care (care degree 5). Among the tenants from the control group, 8 out of 64 people surveyed required nursing care, which corresponded to 12.5% of the residents. Care degree 2 was most frequently represented (50%). Care degrees 4 and 5 did not occur in this group. The most frequent physical complaints were mobility limitations, both in the intervention group (59.5%) and in the control group (43.8%).
Residents’ evaluations of smart home solutions
The second part of the questionnaire was intended to provide insights into various aspects related to smart home solutions. With regard to the aspects of care, communication/social contacts and safety in connection with smart home solutions, tenants with installed smart home solutions evaluated the given statements in the questionnaire similarly to the control group (mean values ranging from 1.08–3.73 and 1.3–3.33). Significant results were available for aspects of communication/social contacts and safety. For example, the survey showed that both groups were fully satisfied that they had regular contact with a reference person in order to report that they were doing well (Table 2 mean 1.08; n = 37 and mean 1.70; n = 63). In addition, the participants in the study stated that they felt safer in their homes thanks to smart home solutions. This was fully true for tenants from the intervention group (mean 1.55; n = 31), and nearly equally true for tenants from the control group (mean 2.38; n = 26). Finally, the participants of both groups said that it was fully true for them to know whom to inform immediately in the case of an emergency (mean 1.09; n = 35 and mean 1.34; n = 61).
Tenants’ satisfaction with installed smart home solutions and conventional mobility supporting aids
Table 3 shows the mean values of user satisfaction among tenants with installed smart home solutions, displaying the three best rated technical and conventional solutions. On a scale of 1 (very good) to 6 (unsatisfactory), the tenants’ assessments of the smart home solutions and conventional mobility supporting aids installed in their homes were in the range from very good to good. The technical solutions were rated with average mean values between 1.00 and 1.83, while the ratings for conventional mobility supporting aids ranged between mean values from 1.00 to 1.80.
The highest rated component of the installed smart home solutions was the “home emergency call” (mean 1.00), which for example in the event of falling, forwards an emergency call to the corresponding emergency call centre. The “visual doorbell”, which signals the ringing of the doorbell to tenants with impaired hearing both acoustically and visually by means of a wireless bell, was rated second best (mean 1.07). In third place was the “orientation light” (mean 1.15), which activates a glare-free floor lighting at night when leaving the bed. The “tablet”, which is used to operate the automated modules, such as the “light control”, received the lowest rates (mean 1.83). Regarding the installed conventional mobility supporting aids, the item “handles balcony” was rated “very good” (mean 1.00), followed by the “balcony exit/elevation” (mean 1.45) and the components “service socket” and “handles bathroom” (mean 1.50). The lowest rating was given to the “handles toilet” (mean 1.80). Overall, the tenants’ satisfaction with all installed smart home solutions and conventional mobility supporting aids was rated “very good” (mean 1.41).
Cost-benefit analysis of the installed smart home solutions
With regard to price performance, the best result among the conventional mobility supporting aids (Table 4) was achieved by “handles balcony” (grade 1.0 = “very good”), which in addition had low acquisition costs. Comparable results were also achieved for the “balcony exit/elevation” (grade 1.45 = “very good”) as well as for the “handles bathroom” and the “service socket” (each grade 1.5 = “very good”), of which the service socket was at a lower price. None of the installed conventional mobility supporting aids was rated below 1.8 (grade 2 = “good”) or had acquisition costs (including installation) of more than 140 euros. Among the smart home solutions, the “home emergency call” and the “visual doorbell” achieved best price performances with a rating of 1.0 (“very good”) and 1.07 (“very good”) respectively. Comparable results were achieved for “orientation light” (1.15), “all-off control” (1.17), “stove safety” (1.21), “door detector” (1.25) and “fall detection” (1.27). However, a closer look at the acquisition costs shows that the “home emergency call” (176 euros), the “visual doorbell” (217 euros) and the “orientation light” (248 euros) are the most cost-effective. In contrast, the other systems rated “very good” were considerably more expensive at prices of over 1000 euros. The most expensive system to install was the “light control” with 2360 euros. In terms of grading, none of the smart home solutions was rated below 1.8.
Among the conventional mobility supporting aids, the “handles balcony” achieved the best grade of 1.0 (“very good”), while the “balcony exit/elevation” was rated at a similarly high quality (grade 1.45 = “very good”). All ratings ranged from 1.0 to 1.8, meaning that all installed conventional mobility supporting aids were rated between “very good” and “good”. Best quality performance among the smart home solutions was achieved by the “home emergency call” with a grade of 1.0 (“very good”), followed by the “visual doorbell” (grade 1.07 = “very good”) and the “orientation light” (grade 1.15 = “very good”). However, with one exception in each group (“tablet” – grade 1.83; “handles balcony” – grade 1.0), the smart home solutions were overall rated better than the conventional mobility supporting aids (1.0 to 1.5 vs. 4.45 to 1.8).
In summary, all conventional mobility supporting aids were rated at 1.53; all smart solutions at 1.34 on average.
With regard to the research questions to be examined focusing on usability, user satisfaction and price-performance ratio of the installed smart home solutions and the conventional mobility supporting aids, it can be concluded that the installation of the corresponding solutions was positively evaluated by the tenants (overall rating 1.41).
In general, the installed smart home solutions were rated better by the users than conventional mobility supporting aids. At this point, however, it should be pointed out that the poorer evaluation of the installed conventional mobility supporting aids was partly due to unfavourable structural conditions for an optimal installation of the devices. For example, bathrooms were too narrow to adequately install grab handles, and balcony elevations for easy entry and exit, which had actually been evaluated and carried out positively, created a difference in altitude between the apartment and the balcony, which had to be adjusted afterwards.
Analysis of the price-performance ratio has shown that the installed smart home solutions are basically more cost-intensive than conventional mobility supporting aids. However, in contrast to the less expensive built-in conventional mobility supporting aids, it must be taken into account that, although smart home solutions are more expensive, they also contribute significantly to an increased security for the tenants. Inactivity detectors and fall detections can, for example, be linked to different terminal devices, and the notification of the home emergency call may directly be connected to a home emergency call provider. If an emergency call is not available, the information on the event can be transmitted to the mobile devices of the caregiving relatives. In view of the results with an average grade of 1.83 for the tablet and 1.54 for the lighting control, it must be taken into account that tablet training courses were being coordinated at the time of the survey and that problems with lighting control were currently being dealt with by the manufacturer. In the case of lighting control, there were occasional difficulties with the automatic switch.
Not all of the products classified at high quality by the tenants were expensive. Installed solutions up to 250 euros included products that were rated “very good” by the tenants and can therefore be recommended both, from a nursing science and health economics point of view. These include in particular the “home emergency call”, the “visual doorbell” and the “orientation light”.
Overall, it is noticeable that all technologies improve communication possibilities and increase the feeling of security. Visitors are less often “overheard” by the visual doorbell, an emergency call system contributes to the sense of security from the user’s point of view, and orientation lighting offers tenants the opportunity to move around safely, even in the dark and thus, prevent falls. Another study points to the benefits of technical innovations in the home setting . These assessments are also reflected in the comparative survey between the 37 tenants with built-in solutions and the control group. The 37 tenants tended to show a better evaluation of communication and autonomy aspects in their newly created living environment. In some aspects – despite the small sample size – statistically significant differences were found, for example with regard to the statement that the smart home solutions enable a greater sense of security in the apartment.
In addition to the communication possibilities and the feeling of security, another important aspect is the user-friendly handling (usability) of smart home solutions. A prior examination of the usability and user-friendliness (benefit estimation) is an essential prerequisite for the purchase and subsequent integration of smart home solutions in the households of the users . The assumption that older adults generally have a low level of acceptance of technology cannot be supported. Although there is general uncertainty about the new technical devices, this is due to little or no previous technical experience [22,23,24]. Since almost all users (96.3%) rated the smart home solutions as positive, a negative attitude of older adults towards new technologies can be largely ruled out. Tenants in the intervention group with installed smart home solutions and tenants in the control group without any installed solutions evaluated the actual (intervention group) and the potential (control group) use of smart home solutions in a positive way with similar results. This may indicate a largely unbiased attitude with regard to technical possibilities for supporting security in older adults’ own homes. However, trainings could contribute to reduce possible existing uncertainties among users.
Moreover, a focus must be placed on the financial implementation or the assumption of costs for the acquisition and installation of smart home solutions. With regard to the German legislator’s target of “outpatient rather than inpatient”, it is essential to create conditions to enable elderly people (in need of care) to remain in their own homes as long as possible. Higher additional payments by the health insurance funds for remedies and aids are a first step in this direction. Current questions regarding whether there should be a cost sharing by the users and, if so, how much, or whether selected smart home solutions can be included in the catalogue of assistive devices for services financed by the health insurance funds should be evaluated in the near future . At the same time, the possibility of integration in households should also be examined in advance, since not all households may have connections or suitable structural conditions, and configurations may interfere with other technologies . These are currently important and necessary developments, but this is not enough: with regard to demographic changes and the fact that more and more old and very old people want and “should” continue to live in their own homes, innovative solutions to improve their situation must be considered. In the future, solutions will be needed to ensure the safety of the (care-dependent) residents, which will enable them to live in their own homes until old age. Smart home solutions allow early detection and elimination of dangers, for example to avoid falls or emergencies or to be able to react appropriately and immediately in emergencies [26, 27].
A further point to be considered is the safety of the newly installed smart home solutions. Failure risks or defects of the systems should be checked precisely in advance, so that suitable measures can be taken, if necessary. This means that the installed systems must be suitable for everyday use. Another important point is to ensure accessibility in order to guarantee prevention of possible care phenomena and care problems. In the future, it can be assumed that the possibilities of smart home solutions, especially with regard to networking, will be expanded, so that privacy and data protection will become increasingly important [28, 29].
From the information available, it can be concluded that, in view of the ongoing demographic changes and the associated social changes towards a more dynamic lifestyle for older adults, a special focus should be placed on the further development of smart home solutions [30, 31].
With regard to the initial research questions in this study, it can be stated that tenants report an effective benefit in the installed smart home solutions. In addition, the study showed that smart home solutions generally have a benefit for tenants in terms of the price-performance ratio, even taking into account the more cost-intensive smart home solutions. Finally, the technical solutions were predominantly rated “very good” in terms of the price-performance ratio.
Overall, smart home solutions were rated slightly better than conventional solutions, although the significance threshold was only just missed. This can also be understood as an indication for a high degree of willingness to use technical solutions among elderly and old adults.
Three limiting methodological problems have to be considered in the study carried out: First, the small sample size was small, which is due to the fact that smart home solutions were only installed in 27 apartments of the respective housing association. Second, the actual testing phase of the installed smart home solutions and conventional mobility supporting aids by the users was quite short due to the fact that the installation of some of the corresponding solutions was completed four weeks before the start of the survey. A third methodological problem is, as it is often the case in surveys, the social desirability of the response behaviour. Social desirability is promoted, among other things, by the adaptation to structural characteristics, in this case the installation of smart home solutions and conventional mobility supporting aids by the own housing association. However, socially desirable behaviour may also be promoted by the design of the survey instrument. In order to prevent this tendency as far as possible, emphasis was placed on specific questions oriented towards the individual installed solution or aid in order to reduce the willingness and also the possibilities for criticism. An additional methodological precaution against socially desirable response behaviour was the accompanying letter, in which the tenants were informed that they would participate in the survey voluntarily and anonymously.
Moreover, regarding statistical significance, multiple testing should always be considered. However, since the number of chi-square tests in our study is limited, we assumed the type 1 error to be rather small and thus, further statistical tests have not been carried out.
The analysis of the study results leads to the conclusion that smart home solutions are a useful supplement to enable elderly adults and/or people in need of care to remain in their own homes as long and safely as possible. Modularized offers consisting of different components of smart home solutions might be recommendable, as costs for the installation can be reduced significantly and an individual composition according to the requirements is possible. In order to best meet the German legislator’s target of “outpatient before inpatient”, a stronger consideration of technical solutions in the list of aids by the National Association of Statutory Health Insurance Funds (German GKV-Spitzenverband) should be considered in the near future. At the same time, corresponding technical solutions can support the approach of the German Care Strengthening Act III (Pflegestärkungsgesetz III), which came into force on 1 January 2017 and which, among other things, aims to develop social rooms in such a way that people in need of care can live in their familiar home and family environment for as long as possible.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Deutsches Institut für Pflegeforschung, ePflege - Informations- und Kommunikationstechnologie für die Pflege 2018, Bundesministerium für Gesundheit Berlin.
Bundesministerium für Gesundheit. Abschlussbericht zur Studie - Unterstützung Pflegebedürftiger durch technische Assistenzsysteme. Berlin: VDI - VDE Innovation und Technik GmbH; 2013.
Bendel O. Smart Home, in Gabler Wirtschaftslexikon. Freiburg: Springer; 2015.
Vasunilashorn S, et al. Aging in place: evolution of a research topic whose time has come. J Aging Res. 2012;2012:120952.
Abdi S, de Witte L, Hawley M. Emerging technologies with potential care and support applications for older people: review of gray literature. JMIR Aging. 2020;3(2):e17286.
Biermann H, et al. Ambient assisted living as support for aging in place: quantitative Users' acceptance study on ultrasonic whistles. JMIR Aging. 2018;1(2):e11825.
Ganesan B, et al. Ambient assisted living technologies for older adults with cognitive and physical impairments: a review. Eur Rev Med Pharmacol Sci. 2019;23(23):10470–81.
Sanchez-Comas A, Synnes K, Hallberg J. Hardware for Recognition of Human Activities: A Review of Smart Home and AAL Related Technologies. Sensors (Basel). 2020;20(15):4227.
United Nations. World Population Prospects 2019: Highlights and key findings. New York: Department of Economic and Social Affairs, Population Division; 2019. p. 2019.
World Health Organization, World Health Statistics. 2019.
Statistische Ämter des Bundes und der Länder, editor. Demografischer Wandel in Deutschland. Heft 2. Wiesbaden: Statistisches Bundesamt; 2010.
Statistisches Bundesamt. Pflegestatistik 2015 - Pflege im Rahmen der Pflegeversicherung - Deutschlandergebnisse. Wiesbaden: Statistisches Bundesamt; 2017.
Mestheneos E. Ageing in place in the European Union. Global Ageing Issues Action. 2011;7(2):17–24.
Gauck J, et al. In: Bundestag/Bundesrat. Zweites Gesetz zur Stärkung der pflegerischen Versorgung und zur Änderung weiterer Vorschriften (Zweites Pflegestärkungsgesetz – PSG II), in Bundesgesetzblatt Jahrgang 2015. Berlin: Bundesregierung; 2015.
Rothgang, H. and T. Kalwitzki, Pflegestärkungsgesetz II: Eine erstaunlich großzügige Reform. G+S, 2015(5/2015): p. 46–54.
Wiles JL, et al. The meaning of "aging in place" to older people. Gerontologist. 2012;52(3):357–66.
Coleman T, Wiles J. Being with objects of meaning: cherished possessions and opportunities to maintain aging in place. Gerontologist. 2020;60(1):41–9.
Govercin M, et al. SmartSenior@home: acceptance of an integrated ambient assisted living system. Results of a clinical field trial in 35 households. Inform Health Soc Care. 2016;41(4):430–47.
Sun H, et al. The missing ones: key ingredients towards effective ambient assisted living systems. J Ambient Intelligence Smart Environ. 2010;2(2):109–20.
Krüger-Brand, H., Assistenzsysteme: Entlastung für die Pflege Deutsches Ärzteblatt 2014.
Frontoni E, Pollini R, Russo P, Zingaretti P, Cerri G. HDOMO: Smart Sensor Integration for an Active and Independent Longevity of the Elderly. Sensors (Basel). 2017;17(11):2610.
Flandorfer R. Population ageing and socially assistive robots for elderly persons: the importance of Sociodemographic factors for user acceptance. Int J Popul Res. 2012; p. 13.
Stefanov DH, Bien Z, Bang WC. The smart house for older persons and persons with physical disabilities: structure, technology arrangements, and perspectives. IEEE Trans Neural Syst Rehabil Eng. 2004;12(2):228–50.
Liu L, et al. Smart homes and home health monitoring technologies for older adults: a systematic review. Int J Med Inform. 2016;91:44–59.
Mautsch E, Schubert J, Mautsch N. Ambient Assisted Living vs. Ambient Assisted Working. Gesundheitliche und pflegerische Versorgung auf smarte Art; 2014. p. 4.
Rohne M, Boysen ES, Ausen D. Wearable and Mobile Technology for Safe and Active Living. Stud Health Technol Inform. 2017;237:133–9.
Ehn M, et al. Activity monitors as support for older Persons' physical activity in daily life: qualitative study of the Users' experiences. JMIR Mhealth Uhealth. 2018;6(2):e34.
Birchley G, et al. Smart homes, private homes? An empirical study of technology researchers' perceptions of ethical issues in developing smart-home health technologies. BMC Med Ethics. 2017;18(1):23.
Cannizzaro S, et al. Trust in the smart home: findings from a nationally representative survey in the UK. PLoS One. 2020;15(5):e0231615.
Moraitou M, Pateli A, Fotiou S. Smart health caring home: a systematic review of smart home Care for Elders and Chronic Disease Patients. Adv Exp Med Biol. 2017;989:255–64.
Yu J, et al. A pilot study on a smart home for elders based on continuous in-home unobtrusive monitoring technology. HERD. 2019;12(3):206–19.
The authors would like to thank the surveyed tenants and the housing association for their participation and support in conducting the study.
The research work has not received a grant or funding. Open Access funding enabled and organized by Projekt DEAL.
Ethics approval and consent to participate
The study was carried out according to the medical-ethical principles of the Ethics Committee of the State of Berlin. Participation in the study was voluntary and anonymous. Following the guidelines of the German Research Foundation (DFG) a separate ethical approval was not required. Informed consent was given by completing and sending the questionnaire. This was explicitly referred to in the enclosed study documents.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Jachan, D.E., Müller-Werdan, U., Lahmann, N.A. et al. Smart@home – supporting safety and mobility of elderly and care dependent people in their own homes through the use of technical assistance systems and conventional mobility supporting tools: a cross-sectional survey. BMC Geriatr 21, 205 (2021). https://doi.org/10.1186/s12877-021-02118-9
- Quality of life
- Smart home
- User satisfaction