Effectiveness of Digital Technologies to Support Nursing Care: Results of a Scoping Review

References

• Bemelmans R, Gelderblom GJ, Jonker P, de Witte L. Socially assistive robots in elderly care: a systematic review into effects and effectiveness. J Am Med Dir Assoc. 2012;13(2):114–120.e111. doi:10.1016/j.jamda.2010.10.002
   PubMed Web of Science ®Google Scholar
• Fleming R, Sum S. Empirical studies on the effectiveness of assistive technology in the care of people with dementia: a systematic review. J Assistive Technol. 2014;8(1):14–34. doi:10.1108/JAT-09-2012-0021
   Google Scholar
• Liu L, Stroulia E, Nikolaidis I, Miguel-Cruz A, Rios Rincon A. Smart homes and home health monitoring technologies for older adults: a systematic review. Int J Med Inform. 2016;91:44–59. doi:10.1016/j.ijmedinf.2016.04.007
   PubMed Web of Science ®Google Scholar
• Khosravi P, Ghapanchi AH. Investigating the effectiveness of technologies applied to assist seniors: a systematic literature review. Int J Med Inform. 2016;85(1):17–26. doi:10.1016/j.ijmedinf.2015.05.014
   PubMed Web of Science ®Google Scholar
• CEDEFOP. Briefing Note: Skill Shortage and Surplus Occupations in Europe. Thessaloniki; 2016.
   Google Scholar
• Greenhalgh T, Wherton J, Papoutsi C, et al. Beyond adoption: a new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. J Med Internet Res. 2017;19(11):e367. doi:10.2196/jmir.8775
   PubMed Web of Science ®Google Scholar
• Krick T, Huter K, Seibert K, Domhoff D, Wolf-Ostermann K. Measuring the effectiveness of digital nursing technologies: development of a comprehensive digital nursing technology outcome framework based on a scoping review. BMC Health Serv Res. 2020;20(1):243. doi:10.1186/s12913-020-05106-8
   Web of Science ®Google Scholar
• Rouleau G, Gagnon MP, Côté J, Payne-Gagnon J, Hudson E, Dubois CA. Impact of information and communication technologies on nursing care: results of an overview of systematic reviews. J Med Internet Res. 2017;19(4):e122. doi:10.2196/jmir.6686
   PubMedGoogle Scholar
• Billings J, Carretero Gomez S, Kagialaris G, Mastroyiannakis T, MerilÄInen-Porras S. The role of information technology in long term care for older people. In: Le A, editor. Long-Term Care in Europe. Palgrave Macmillan; 2013:252–277.
   Google Scholar
• Damant J, Knapp M, Freddolino P, Lombard D. Effects of digital engagement on the quality of life of older people. Health Soc Care Community. 2017;25(6):1679–1703. doi:10.1111/hsc.12335
   PubMed Web of Science ®Google Scholar
• Robinson H, MacDonald B, Kerse N, Broadbent E. The psychosocial effects of a companion robot: a randomized controlled trial. J Am Med Dir Assoc. 2013;14(9):661–667. doi:10.1016/j.jamda.2013.02.007
   PubMed Web of Science ®Google Scholar
• Joranson N, Pedersen I, Rokstad AM, Ihlebaek C. Change in quality of life in older people with dementia participating in Paro-activity: a cluster-randomized controlled trial. J Adv Nurs. 2016;72(12):3020–3033. doi:10.1111/jan.13076
   PubMed Web of Science ®Google Scholar
• Haux R, Hein A, Kolb G, et al. Information and communication technologies for promoting and sustaining quality of life, health and self-sufficiency in ageing societies–outcomes of the lower saxony research network design of environments for ageing (GAL). Inform Health Soc Care. 2014;39(3–4):166–187. doi:10.3109/17538157.2014.931849
   PubMed Web of Science ®Google Scholar
• Trukeschitz B, Schneider C., Ring-Dimitriou S. Smartes Betreutes Wohnen: Nutzung, Systemakzeptanz und Wirkungen von “meinZentrAAL“[Smart assisted living: usage, system acceptance and effects of “myCentrAAL“].BoD Books on Demand. Norderstedt; 2018.
   Google Scholar
• Hattink BJJ, Meiland FJM, Overmars-Marx T, et al. The electronic, personalizable Rosetta system for dementia care: exploring the user-friendliness, usefulness and impact. Disabil Rehabil Assist Technol. 2016;11(1):61–71.
   PubMed Web of Science ®Google Scholar
• Nijhof N, van Gemert-pijnen LJ, Woolrych R, Sixsmith A. An evaluation of preventive sensor technology for dementia care. J Telemed Telecare. 2013;19(2):95–100. doi:10.1258/jtt.2012.120605
   PubMed Web of Science ®Google Scholar
• Ranasinghe R, Dantanarayana L, Tran A, Lie S, Behrens M, Liu L Smart hoist: an assistive robot to aid carers. Paper presented at: 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV); December 10–12, 2014; 2014.
   Google Scholar
• Broadbent E, Kerse N, Peri K, et al. Benefits and problems of health-care robots in aged care settings: a comparison trial. Australas J Ageing. 2016;35(1):23–29. doi:10.1111/ajag.12190
   PubMed Web of Science ®Google Scholar
• Hu C, Kung S, Rummans TA, Clark MM, Lapid MI. Reducing caregiver stress with internet-based interventions: a systematic review of open-label and randomized controlled trials. J Am Med Inform Assoc. 2015;22(e1):e194–e209. doi:10.1136/amiajnl-2014-002817
   PubMed Web of Science ®Google Scholar
• Madara Marasinghe K. Assistive technologies in reducing caregiver burden among informal caregivers of older adults: a systematic review. Disabil Rehabil Assist Technol. 2016;11(5):353–360.
   PubMed Web of Science ®Google Scholar
• Tixier M, Lewkowicz M Looking for respite and support: technological opportunities for spousal caregivers. Paper presented at: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems; 2015; New York, NY, USA.
   Google Scholar
• Lee E. Do technology-based support groups reduce care burden among dementia caregivers? A review. J Evid Inf Soc Work. 2015;12(5):474–487. doi:10.1080/15433714.2014.930362
   PubMed Web of Science ®Google Scholar
• Davies A, Rixon L, Newman S. Systematic review of the effects of telecare provided for a person with social care needs on outcomes for their informal carers. Health Soc Care Community. 2013;21(6):582–597.
   Web of Science ®Google Scholar
• Pare G, Sicotte C, Moreault MP, Poba-Nzaou P, Templier M, Nahas G Effects of mobile computing on the quality of homecare nursing practice. Paper presented at: 2011 44th Hawaii International Conference on System Sciences; January 4–7, 2011; 2011.
   Google Scholar
• Reis ZSN, Maia TA, Marcolino MS, Becerra-Posada F, Novillo-Ortiz D, Ribeiro ALP. Is there evidence of cost benefits of electronic medical records, standards, or interoperability in hospital information systems? Overview of systematic reviews. JMIR Med Inf. 2017;5(3):e26. doi:10.2196/medinform.7400
   Google Scholar
• Meißner A, Schnepp W. Staff experiences within the implementation of computer-based nursing records in residential aged care facilities: a systematic review and synthesis of qualitative research. BMC Med Inform Decis Mak. 2014;14(1). doi:10.1186/1472-6947-14-54
   Web of Science ®Google Scholar
• Appari A, Johnson EM, Anthony DL. Information technology and hospital patient safety: a cross-sectional study of US acute care hospitals. Am J Manag Care. 2014;20(17):eSP39–eSP47.
   Google Scholar
• Yeaman B, Ko KJ, Castillo R. Care transitions in long-term care and acute care: health information exchange and readmission rates. Online J Issues Nurs. 2015;20(3):1.
   Google Scholar
• Meyer-Delpho C, Schubert HJ. Potential of information and communications technology to improve intersectoral processes of care: a case study of the specialised outpatient palliative care. Gesundheitswesen. 2014;77(8–9):550–556.
   Web of Science ®Google Scholar
• Krick T, Huter K, Domhoff D, Schmidt A, Rothgang H, Wolf-Ostermann K. Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies. BMC Health Serv Res. 2019;19(1):400. doi:10.1186/s12913-019-4238-3
   PubMed Web of Science ®Google Scholar
• Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32. doi:10.1080/1364557032000119616
   Google Scholar
• Levac D, Colquhoun H, O’Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010;5(1):69. doi:10.1186/1748-5908-5-69
   PubMed Web of Science ®Google Scholar
• Ackley BJ. Evidence-Based Nursing Care Guidelines: Medical-Surgical Interventions. Elsevier Health Sciences; 2008.
   Google Scholar
• Concato J. Observational versus experimental studies: what’s the evidence for a hierarchy? NeuroRx. 2004;1(3):341–347. doi:10.1602/neurorx.1.3.341
   PubMedGoogle Scholar
• Restuccia JD, Cohen AB, Horwitt JN, Shwartz M. Hospital implementation of health information technology and quality of care: are they related? BMC Med Inform Decis Mak. 2012;12(1). doi:10.1186/1472-6947-12-109
   Web of Science ®Google Scholar
• McKenna RM, Dwyer D, Rizzo JA. Is HIT a hit? The impact of health information technology on inpatient hospital outcomes. Appl Econ. 2017:1–13.
   Web of Science ®Google Scholar
• Angst CM, Devaraj S, D’Arcy J. Dual role of IT-assisted communication in patient care: a validated structure-process-outcome framework. Manag Inf Syst. 2012;29(2):257–292. doi:10.2753/MIS0742-1222290209
   Web of Science ®Google Scholar
• Alexander GL, Pasupathy KS, Steege LM, Strecker EB, Carley KM. Multi-disciplinary communication networks for skin risk assessment in nursing homes with high IT sophistication. Int J Med Inform. 2014;83(8):581–591. doi:10.1016/j.ijmedinf.2014.05.001
   Web of Science ®Google Scholar
• Alexander GL, Steege LM, Pasupathy KS, Wise K. Case studies of IT sophistication in nursing homes: a mixed method approach to examine communication strategies about pressure ulcer prevention practices. Int J Ind Ergon. 2015;49:156–166. doi:10.1016/j.ergon.2012.12.002
   Web of Science ®Google Scholar
• Munyisia EN, Yu P, Hailey D. The impact of an electronic nursing documentation system on efficiency of documentation by caregivers in a residential aged care facility. J Clin Nurs. 2012;21(19/20):2940–2948. doi:10.1111/j.1365-2702.2012.04157.x
   Web of Science ®Google Scholar
• Steurbaut K, Colpaert K, Van Hoecke S, et al. Design and evaluation of a service oriented architecture for paperless ICU tarification. J Med Syst. 2012;36(3):1403–1416. doi:10.1007/s10916-010-9602-0
   Web of Science ®Google Scholar
• Patmon FL, Gee PM, Rylee TL, Readdy NL. Using interactive patient engagement technology in clinical practice: a qualitative assessment of nurses’ perceptions. J Med Internet Res. 2016;18(11):e298. doi:10.2196/jmir.5667
   Web of Science ®Google Scholar
• Mitchell S, Yaylacicegi U. EHR prescription for small, medium, and large hospitals: an exploratory study of Texas acute care hospitals. Int J Electron Healthc. 2012;7(2):125–140. doi:10.1504/IJEH.2012.049874
   Google Scholar
• Bradley SL. A Phenomenological Exploration of Nurses’ Perceptions of the Effect of Electronic Documentation on Healing Relationships. University of Phoenix; 2011.
   Google Scholar
• Takian A, Sheikh A, Barber N. We are bitter, but we are better off: case study of the implementation of an electronic health record system into a mental health hospital in England. BMC Health Serv Res. 2012;12(1). doi:10.1186/1472-6963-12-484
   Web of Science ®Google Scholar
• Yusof MM. A case study evaluation of a critical care information system adoption using the socio-technical and fit approach. Int J Med Inform. 2015;84(7):486–499. doi:10.1016/j.ijmedinf.2015.03.001
   PubMed Web of Science ®Google Scholar
• Seibert HH, Maddox RR, Flynn EA, Williams CK. Effect of barcode technology with electronic medication administration record on medication accuracy rates. Am J Health Syst Pharm. 2014;71(3):209–218. doi:10.2146/ajhp130332
   PubMed Web of Science ®Google Scholar
• Appari A, Carian EK, Johnson ME, Anthony DL. Medication administration quality and health information technology: a national study of US hospitals. J Am Med Inform Assoc. 2012;19(3):360–367. doi:10.1136/amiajnl-2011-000289
   Web of Science ®Google Scholar
• Chanyagorn P, Kungwannarongkun B, Chanyagorn W Design of electronic nursing Kardex system for medication error prevention in IPD patients. Paper presented at: 2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE); November 25–27, 2016; 2016.
   Google Scholar
• Ching JM, Williams BL, Idemoto LM, Blackmore CC. Using lean ‘automation with a human touch’ to improve medication safety: a step closer to the ‘perfect dose’. Jt Comm J Qual Patient Saf. 2014;40(8):341–350. doi:10.1016/S1553-7250(14)40045-X
   Google Scholar
• Huang H-Y, Lee -T-T. Impact of bar-code medication administration on nursing activity patterns and usage experience in Taiwan. CIN. 2011;29(10):554–563.
   Google Scholar
• Oakley B, Hunter JB. Implementing an electronic patient handover system. Br J Hosp Med. 2017;78(1):16–19. doi:10.12968/hmed.2017.78.1.16
   Web of Science ®Google Scholar
• Clarke CN, Patel SH, Day RW, et al. Implementation of a standardized electronic tool improves compliance, accuracy, and efficiency of trainee-to-trainee patient care handoffs after complex general surgical oncology procedures. Surgery. 2017;161(3):869–875.
   Web of Science ®Google Scholar
• Lear CL, Walters C. Use of electronic nurse reminders to improve documentation. CIN. 2015;33(12):523–529.
   Google Scholar
• Paranilam SO. Effectiveness of an Electronic Pain Notification System on Postoperative Pain. Baltimore: University of Maryland; 2013.
   Google Scholar
• Hitt LM, Tambe P. Health care information technology, work organization, and nursing home performance. Ind Labor Relat Rev. 2016;69(4):834–859. doi:10.1177/0019793916640493
   Web of Science ®Google Scholar
• Meehan R. Electronic health records in long-term care: staff perspectives. J Appl Gerontol. 2017;36(10):1175–1196. doi:10.1177/0733464815608493
   PubMed Web of Science ®Google Scholar
• Rantz MJ, Alexander G, Galambos C, et al. The use of bedside electronic medical record to improve quality of care in nursing facilities: a qualitative analysis. CIN. 2011;29(3):149–156.
   Google Scholar
• McKibbon KA, Lokker C, Handler SM, et al. Enabling medication management through health information technology (Health IT). Evid Rep Technol Assess (Full Rep). 2011;201:1–951.
   Google Scholar
• McKibbon KA, Lokker C, Handler SM, et al. The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials. J Am Med Inform Assoc. 2012;19(1):22–30. doi:10.1136/amiajnl-2011-000304
   Web of Science ®Google Scholar
• Blum D, Raj SX, Oberholzer R, Riphagen II, Strasser F, Kaasa S. Computer-based clinical decision support systems and patient-reported outcomes: a systematic review. Patient. 2015;8(5):397–409. doi:10.1007/s40271-014-0100-1
   Google Scholar
• Lapane KL, Hughes CM, Daiello LA, Cameron KA, Feinberg J. Effect of a pharmacist-led multicomponent intervention focusing on the medication monitoring phase to prevent potential adverse drug events in nursing homes. J Am Geriatr Soc. 2011;59(7):1238–1245. doi:10.1111/j.1532-5415.2011.03418.x
   Web of Science ®Google Scholar
• Dykes PC, I-Ching EH, Soukup JR, Chang F, Lipsitz S. A case control study to improve accuracy of an electronic fall prevention toolkit. AMIA Annual Symposium proceedings/AMIA Symposium AMIA Symposium; 2012:170–179.
   Google Scholar
• Lang RLN. Evaluating the Effectiveness of Nurse-Focused Computerized Clinical Decision Support on Urinary Catheter Practice Guidelines. Gardner-Webb University; 2012.
   Google Scholar
• Salinas J, Chung KK, Mann EA, et al. Computerized decision support system improves fluid resuscitation following severe burns: an original study. Crit Care Med. 2011;39(9):2031–2038. doi:10.1097/CCM.0b013e31821cb790
   Web of Science ®Google Scholar
• Bright TJ, Wong A, Dhurjati R, et al. Effect of clinical decision-support systems: a systematic review. Ann Intern Med. 2012;157(1):29–43. doi:10.7326/0003-4819-157-1-201207030-00450
   PubMed Web of Science ®Google Scholar
• Lobach D, Sanders GD, Bright TJ, et al. Enabling health care decisionmaking through clinical decision support and knowledge management. Evid Rep Technol Assess (Full Rep). 2012;203:1–784.
   Google Scholar
• Roshanov PS, Fernandes N, Wilczynski JM, et al. Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials. BMJ. 2013;346:7899.
   Web of Science ®Google Scholar
• Bowles KH, Hanlon AL, Glick HA, et al. Clinical effectiveness, access to, and satisfaction with care using a telehomecare substitution intervention: a randomized controlled trial. Int J Telemed Appl. 2011;2011:540138. doi:10.1155/2011/540138
   Google Scholar
• Paré G, Poba-Nzaou P, Sicotte C. Home telemonitoring for chronic disease management: an economic assessment. Int J Technol Assess Health Care. 2013;29(2):155–161. doi:10.1017/S0266462313000111
   Web of Science ®Google Scholar
• Göransson C, Eriksson I, Ziegert K, et al. Testing an app for reporting health concerns-Experiences from older people and home care nurses. Int J Older People Nurs. 2017.
   Web of Science ®Google Scholar
• Cady RG, Finkelstein SM. Task-technology fit of video telehealth for nurses in an outpatient clinic setting. Telemed J e-Health. 2014;20(7):633–639. doi:10.1089/tmj.2013.0242
   Web of Science ®Google Scholar
• Steventon A, Bardsley M, Billings J, et al. Effect of telecare on use of health and social care services: findings from the whole systems demonstrator cluster randomised trial. Age Ageing. 2013;42(4):501–508. doi:10.1093/ageing/aft008
   PubMed Web of Science ®Google Scholar
• Wakefield BJ, Vaughan-Sarrazin M. Home telehealth and caregiving appraisal in chronic illness. Telemed e-Health. 2017;23(4):282–289. doi:10.1089/tmj.2016.0105
   Web of Science ®Google Scholar
• van der Heide LA, Willems CG, Spreeuwenberg MD, Rietman J, de Witte LP. Implementation of CareTV in care for the elderly: the effects on feelings of loneliness and safety and future challenges. Technol Disabil. 2012;24(4):283–291. doi:10.3233/TAD-120359
   Google Scholar
• Chiang KF, Wang HH. Nurses’ experiences of using a smart mobile device application to assist home care for patients with chronic disease: a qualitative study. J Clin Nurs. 2016;25(13–14):2008–2017. doi:10.1111/jocn.13231
   Web of Science ®Google Scholar
• Hicken BL, Daniel C, Luptak M, Grant M, Kilian S, Rupper RW. Supporting caregivers of rural veterans electronically (SCORE). J Rural Health. 2017;33(3):305–313. doi:10.1111/jrh.12195
   Web of Science ®Google Scholar
• Cady RG. Measuring the Impact of Technology on Nurse Workflow: A Mixed Methods Approach. University of Minnesota; 2012.
   Google Scholar
• Capurro D, Ganzinger M, Perez-Lu J, Knaup P. Effectiveness of eHealth interventions and information needs in palliative care: a systematic literature review. J Med Internet Res. 2014;16(3):e72. doi:10.2196/jmir.2812
   PubMed Web of Science ®Google Scholar
• Oliver DP, Demiris G, Wittenberg-Lyles E, Washington K, Day T, Novak H. A systematic review of the evidence base for telehospice. Telemed J E Health. 2012;18(1):38–47. doi:10.1089/tmj.2011.0061
   Web of Science ®Google Scholar
• Karlsen C, Ludvigsen MS, Moe CE, Haraldstad K, Thygesen E. Experiences of community-dwelling older adults with the use of telecare in home care services: a qualitative systematic review. JBI Database System Rev Implement Rep. 2017;15(12):2913–2980. doi:10.11124/JBISRIR-2017-003345
   Google Scholar
• Chuang ST, Liu YF, Fu ZX, et al. Application of a smartphone nurse call system for nursing care. Telemed J e-Health. 2015;21(2):105–109. doi:10.1089/tmj.2014.0071
   Web of Science ®Google Scholar
• Pemmassani V, Paget T, van Woerden HC, Pemmasani S. Hands-free communication to free up nursing time. Nurs Times. 2014;110(13):12–14.
   Google Scholar
• Tielbur BR, Rice Cella DE, Currie A, et al. Discharge huddle outfitted with mobile technology improves efficiency of transitioning stroke patients into follow-up care. Am J Med Qual. 2015;30(1):36–44. doi:10.1177/1062860613510964
   PubMed Web of Science ®Google Scholar
• White C, McIlfatrick S, Dunwoody L, Watson M. Supporting and improving community health services-a prospective evaluation of ECHO technology in community palliative care nursing teams. BMJ Support Palliat Care. 2015.
   Google Scholar
• Blakey JD, Guy D, Simpson C, et al. Multimodal observational assessment of quality and productivity benefits from the implementation of wireless technology for out of hours working. BMJ Open. 2012;2(2):e000701. doi:10.1136/bmjopen-2011-000701
   Web of Science ®Google Scholar
• Melby L, Brattheim BJ, Hellesø R. Patients in transition - improving hospital-home care collaboration through electronic messaging: providers’ perspectives. J Clin Nurs. 2015;24(23/24):3389–3399. doi:10.1111/jocn.12991
   Web of Science ®Google Scholar
• Rodriguez CS, Rowe M, Thomas L, Shuster J, Koeppel B, Cairns P. Enhancing the communication of suddenly speechless critical care patients. Am J Crit Care. 2016;25(3):e40–e47. doi:10.4037/ajcc2016217
   Web of Science ®Google Scholar
• Wieck M, Blake B, Sellick C, et al. Utilizing technology to improve intraoperative family communication. Am J Surg. 2017;213:895–900. doi:10.1016/j.amjsurg.2017.03.014
   Web of Science ®Google Scholar
• Wu R, Rossos P, Quan S, et al. An evaluation of the use of smartphones to communicate between clinicians: a mixed-methods study. J Med Internet Res. 2011;13(3):e59. doi:10.2196/jmir.1655
   PubMed Web of Science ®Google Scholar
• Arditi C, Rège-Walther M, Wyatt JC, Durieux P, Burnand B. Computer-generated reminders delivered on paper to healthcare professionals; effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2012;12:N.PAG-N.PAG.
   Web of Science ®Google Scholar
• Bhattarai P, Phillips J. The role of digital health technologies in management of pain in older people: an integrative review. Arch Gerontol Geriatr. 2017;68:14–24. doi:10.1016/j.archger.2016.08.008
   PubMed Web of Science ®Google Scholar
• Mickan S, Atherton H, Roberts NW, Heneghan C, Tilson JK. Use of handheld computers in clinical practice: a systematic review. BMC Med Inform Decis Mak. 2014;14(1).
   Web of Science ®Google Scholar
• Fagerström C, Tuvesson H, Axelsson L, Nilsson L. The role of ICT in nursing practice: an integrative literature review of the Swedish context. Scand J Caring Sci. 2017;31(3):434–448. doi:10.1111/scs.12370
   PubMed Web of Science ®Google Scholar
• Valerie T, Choy KL, Siu PKY, Lam HY, Ho GTS, Cheng SWY An intelligent performance assessment system for enhancing the service quality of home care nursing staff in the healthcare industry. Paper presented at: 2016 Portland International Conference on Management of Engineering and Technology (PICMET); September 4–8, 2016; 2016.
   Google Scholar
• Zaccarelli C, Cirillo G, Passuti S, Annicchiarico R, Barban F Computer-based cognitive intervention for dementia Sociable: motivating platform for elderly networking, mental reinforcement and social interaction. Paper presented at: 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops; May 5–8, 2013; 2013.
   Google Scholar
• Zhuang J, Fang R, Feng X, et al. The impact of human-computer interaction-based comprehensive training on the cognitive functions of cognitive impairment elderly individuals in a nursing home. J Alzheimers Dis. 2013;36(2):245–251. doi:10.3233/JAD-130158
   PubMed Web of Science ®Google Scholar
• Berenbaum R, Lange Y, Abramowitz L Augmentative alternative communication for Alzheimer’s patients and families? Using SAVION. Paper presented at: Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments; 2011; New York, NY, USA.
   Google Scholar
• Nordheim J, Hamm S, Kuhlmey A, Suhr R. Tablet computers and their benefits for nursing home residents with dementia: results of a qualitative pilot study. Z Gerontol Geriatr. 2015;48(6):543–549. doi:10.1007/s00391-014-0832-5
   Web of Science ®Google Scholar
• Chen ST, Huang YGL, Chiang IT Using somatosensory video games to promote quality of life for the elderly with disabilities. Paper presented at: 2012 IEEE Fourth International Conference On Digital Game And Intelligent Toy Enhanced Learning; March 27–30, 2012; 2012.
   Google Scholar
• Portela FR, Correia RJC, Fonseca JA, Andrade JM Wiitherapy on seniors - effects on physical and metal domains. Paper presented at: 2011 IEEE 1st International Conference on Serious Games and Applications for Health (SeGAH); November 16–18, 2011; 2011.
   Google Scholar
• Mierlo L, Meiland F, Ven P, Hout H, Dröes R. Evaluation of DEM-DISC, customized e-advice on health and social support services for informal carers and case managers of people with dementia; a cluster randomized trial. Int Psychogeriatr. 2015;27(8):1365–1378. doi:10.1017/S1041610215000423
   Web of Science ®Google Scholar
• Nijhof N, van Gemert-pijnen JEWC, Burns CM, Seydel ER. A personal assistant for dementia to stay at home safe at reduced cost. Gerontechnology. 2013;11(3):469–479. doi:10.4017/gt.2013.11.3.005.00
   Google Scholar
• Webster G, Hanson VL. Technology for supporting care staff in residential homes. ACM Trans Access Comput. 2014;5(3):1–8. doi:10.1145/2543577
   Google Scholar
• Yi-Sheng C, Hsin-Ju L, Yuan-Hsiang L Using wireless measuring devices and Tablet PC to improve the efficiency of vital signs data collection in hospital. Paper presented at: 2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014); April 11–14, 2014; 2014.
   Google Scholar
• Florczak B, Scheurich A, Croghan J, et al. An observational study to assess an electronic point-of-care wound documentation and reporting system regarding user satisfaction and potential for improved care. Ostomy Wound Manag. 2012;58(3):46–51.
   Google Scholar
• Vowden K, Vowden P. A pilot study on the potential of remote support to enhance wound care for nursing-home patients. J Wound Care. 2013;22(9):481–488. doi:10.12968/jowc.2013.22.9.481
   Web of Science ®Google Scholar
• Olchanski N, Dziadzko MA, Tiong IC, et al. Can a novel ICU data display positively affect patient outcomes and save lives? J Med Syst. 2017;41(11). doi:10.1007/s10916-017-0810-8.
   Web of Science ®Google Scholar
• Schall MC, Cullen L, Pennathur P, Chen H, Burrell K, Matthews G. Usability evaluation and implementation of a health information technology dashboard of evidence-based quality indicators. CIN. 2017;35(6):281–287.
   Google Scholar
• Lazar A, Demiris G, Thompson HJ. Evaluation of a multifunctional technology system in a memory care unit: opportunities for innovation in dementia care. Inform Health Soc Care. 2016;41(4):373–386. doi:10.3109/17538157.2015.1064428
   PubMed Web of Science ®Google Scholar
• Robinson H, MacDonald B, Broadbent E. The role of healthcare robots for older people at home: a review. Int J Soc Rob. 2014;6(4):575–591. doi:10.1007/s12369-014-0242-2
   Web of Science ®Google Scholar
• Pearce AJ, Adair B, Miller K, et al. Robotics to enable older adults to remain living at home. J Aging Res. 2012;2012:538169. doi:10.1155/2012/538169
   Google Scholar
• Kachouie R, Sedighadeli S, Khosla R, Chu MT. Socially assistive robots in elderly care: a mixed-method systematic literature review. Int J Hum Comput Interact. 2014;30(5):369–393. doi:10.1080/10447318.2013.873278
   Web of Science ®Google Scholar
• Gustafsson C, Svanberg C, Müllersdorf M. Using a robotic cat in dementia care. J Gerontol Nurs. 2015;41(10):46–56. doi:10.3928/00989134-20150806-44
   PubMed Web of Science ®Google Scholar
• Shukla J, Barreda-Ángeles M, Oliver J, Puig D Effectiveness of socially assistive robotics during cognitive stimulation interventions: impact on caregivers. Paper presented at: 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN); August 28, 2017–September 1, 2017; 2017.
   Google Scholar
• Valenti SM, Aguera-Ortiz L, Olazaran RJ, et al. Social robots in advanced dementia. Front Aging Neurosci. 2015;7.
   Web of Science ®Google Scholar
• Baisch S, Kolling T, Rühl S, et al. Emotional robots in a nursing context: empirical analysis of the present use and the effects of Paro and Pleo. Z Gerontol Geriatr. 2018;51(1):16–24. doi:10.1007/s00391-017-1346-8
   Web of Science ®Google Scholar
• Jøranson N, Pedersen I, Rokstad AMM, Ihlebæk C. Effects on symptoms of agitation and depression in persons with dementia participating in robot-assisted activity: a cluster-randomized controlled trial. J Am Med Dir Assoc. 2015;16(10):867–873. doi:10.1016/j.jamda.2015.05.002
   PubMed Web of Science ®Google Scholar
• Petersen S, Houston S, Qin H, Tague C, Studley J. The utilization of robotic pets in dementia care. J Alzheimer’s Dis. 2016;55(2):569–574. doi:10.3233/JAD-160703
   Web of Science ®Google Scholar
• Moyle W, Jones CJ, Murfield JE, et al. Use of a robotic seal as a therapeutic tool to improve dementia symptoms: a cluster-randomized controlled trial. J Am Med Dir Assoc. 2017;18(9):766–773. doi:10.1016/j.jamda.2017.03.018
   PubMed Web of Science ®Google Scholar
• Broadbent E, Orejana JR, Ahn HS, Xie J, Rouse P, MacDonald BA The cost-effectiveness of a robot measuring vital signs in a rural medical practice. Paper presented at: 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN); August 31, 2015–September 4, 2015; 2015.
   Google Scholar
• Bettinelli M, Lei Y, Beane M, Mackey C, Liesching T. Does robotic telerounding enhance nurse-physician collaboration satisfaction about care decisions? Telemed J e-Health. 2015;21(8):637–643. doi:10.1089/tmj.2014.0162
   Web of Science ®Google Scholar
• Summerfield MR, Seagull FJ, Vaidya N, Xiao Y. Use of pharmacy delivery robots in intensive care units. Am J Health Syst Pharm. 2011;68(1):77–83. doi:10.2146/ajhp100012
   PubMed Web of Science ®Google Scholar
• Wang RH, Gorski SM, Holliday PJ, Fernie GR. Evaluation of a contact sensor skirt for an anti-collision power wheelchair for older adult nursing home residents with dementia: safety and mobility. Assist Technol. 2011;23(3):117–134. doi:10.1080/10400435.2010.541406
   Web of Science ®Google Scholar
• Pickham D, Berte N, Pihulic M, Valdez A, Mayer B, Desai M. Effect of a wearable patient sensor on care delivery for preventing pressure injuries in acutely ill adults: a pragmatic randomized clinical trial (LS-HAPI study). Int J Nurs Stud. 2018;80:12–19. doi:10.1016/j.ijnurstu.2017.12.012
   PubMed Web of Science ®Google Scholar
• Marra AR, Sampaio Camargo TZ, Magnus TP, et al. The use of real-time feedback via wireless technology to improve hand hygiene compliance. Am J Infect Control. 2014;42(6):608–611. doi:10.1016/j.ajic.2014.02.006
   Web of Science ®Google Scholar
• Sahota O, Drummond A, Kendrick D, et al. REFINE (REducing Falls in In-patieNt Elderly) using bed and bedside chair pressure sensors linked to radio-pagers in acute hospital care: a randomised controlled trial. Age Ageing. 2014;43(2):247–253. doi:10.1093/ageing/aft155
   Web of Science ®Google Scholar
• Shee AW, Phillips B, Hill K, Dodd K. Feasibility, acceptability, and effectiveness of an electronic sensor bed/chair alarm in reducing falls in patients with cognitive impairment in a subacute ward. J Nurs Care Qual. 2014;29(3):253–262. doi:10.1097/NCQ.0000000000000054
   Web of Science ®Google Scholar
• Tchalla AE, Lachal F, Cardinaud N, Saulnier I, Rialle V, Preux P-M. Preventing and managing indoor falls with home-based technologies in mild and moderate Alzheimer’s disease patients: pilot study in a community dwelling. Dement Geriatr Cogn Disord. 2013;36(3–4):251–261. doi:10.1159/000351863
   PubMed Web of Science ®Google Scholar
• Hardin SR, Dienemann J, Rudisill P, Mills K. Inpatient fall prevention: use of in-room Webcams. J Patient Saf. 2013;9(1):29–35.
   Web of Science ®Google Scholar
• van der Lende M, Cox FME, Visser GH, Sander JW, Thijs RD. Value of video monitoring for nocturnal seizure detection in a residential setting. Epilepsia. 2016;57(11):1748–1753. doi:10.1111/epi.13558
   Web of Science ®Google Scholar
• Lexis M, Everink I, van der Heide L, Spreeuwenberg M, Willems C, de Witte L. Activity monitoring technology to support homecare delivery to frail and psychogeriatric elderly persons living at home alone. Technol Disabil. 2013;25(3):189–197. doi:10.3233/TAD-130377
   Google Scholar
• Rantz M, Phillips LJ, Galambos C, et al. Randomized trial of intelligent sensor system for early illness alerts in senior housing. J Am Med Dir Assoc. 2017;18(10):860–870. doi:10.1016/j.jamda.2017.05.012
   PubMed Web of Science ®Google Scholar
• Lazarou I, Karakostas A, Stavropoulos TG, et al. A novel and intelligent home monitoring system for care support of elders with cognitive impairment. J Alzheimers Dis. 2016;54(4):1561–1591. doi:10.3233/JAD-160348
   PubMed Web of Science ®Google Scholar
• Brown H, Terrence J, Vasquez P, Bates DW, Zimlichman E. Continuous monitoring in an inpatient medical-surgical unit: a controlled clinical trial. Am J Med. 2014;127(3):226–232. doi:10.1016/j.amjmed.2013.12.004
   PubMed Web of Science ®Google Scholar
• Zhou J, Liu DB, Zhong JW, et al. Feasibility of a remote monitoring system for home-based non-invasive positive pressure ventilation of children and infants. Int J Pediatr Otorhinolaryngol. 2012;76(12):1737–1740. doi:10.1016/j.ijporl.2012.08.012
   Web of Science ®Google Scholar
• Kuroda T, Noma H, Naito C, et al. Prototyping sensor network system for automatic vital signs collection: evaluation of a location based automated assignment of measured vital signs to patients. Methods Inf Med. 2013;52(3):239–249. doi:10.3414/ME12-01-0096
   Web of Science ®Google Scholar
• Pigini L, Bovi G, Panzarino C, et al. Pilot test of a new personal health system integrating environmental and wearable sensors for telemonitoring and care of elderly people at home (SMARTA project). Gerontology. 2017;63(3):281–286. doi:10.1159/000455168
   PubMed Web of Science ®Google Scholar
• Jousselme C, Vialet R, Jouve E, Lagier P, Martin C, Michel F. Efficacy and mode of action of a noise-sensor light alarm to decrease noise in the pediatric intensive care unit: a prospective, randomized study. Pediatr Crit Care Med. 2011;12(2):e69–e72. doi:10.1097/PCC.0b013e3181e89d91
   Web of Science ®Google Scholar
• Pot AM, Willemse BM, Horjus S. A pilot study on the use of tracking technology: feasibility, acceptability, and benefits for people in early stages of dementia and their informal caregivers. Aging Ment Health. 2012;16(1):127–134. doi:10.1080/13607863.2011.596810
   PubMed Web of Science ®Google Scholar
• Osaimi AAA, Kadi KA, Saddik B Role of radio frequency identification in improving infant safety and the extent of nursing staff acceptance of RFID at King Abdulaziz medical city in Riyadh. Paper presented at: 2017 International Conference on Informatics, Health & Technology (ICIHT); February 21–23, 2017; 2017.
   Google Scholar
• Kosse NM, Brands K, Bauer JM, Hortobagyi T, Lamoth CJC. Sensor technologies aiming at fall prevention in institutionalized old adults: a synthesis of current knowledge. Int J Med Inform. 2013;82(9):743–752. doi:10.1016/j.ijmedinf.2013.06.001
   PubMed Web of Science ®Google Scholar
• Walia GS, Wong AL, Lo AY, et al. Efficacy of monitoring devices in support of prevention of pressure injuries: systematic review and meta-analysis. Adv Skin Wound Care. 2016;29(12):567–576. doi:10.1097/01.ASW.0000504579.83707.f6
   Web of Science ®Google Scholar
• Marek K, Stetzer F, Ryan P, et al. Nurse care coordination and technology effects on health status of frail older adults via enhanced self-management of medication: randomized clinical trial to test efficacy. Nurs Res. 2013;62(4):269–278. doi:10.1097/NNR.0b013e318298aa55
   PubMed Web of Science ®Google Scholar
• Akiyama M, Sasaki Y Efficacy of the drug administration support system for improving drug compliance in home-care. Paper presented at: 2013 Proceedings of PICMET ‘13: Technology Management in the IT-Driven Services (PICMET); July 28, 2013–August 1, 2013; 2013.
   Google Scholar
• Suzuki S, Yokoishi T, Hada H, Mitsugi J, Nakamura O, Murai J Bidirectional medication support system for medical staff and home care patients. Paper presented at: 2011 5th International Symposium on Medical Information and Communication Technology; March 27–30, 2011; 2011.
   Google Scholar
• Vadiei N, Shuman C, Murthy M, Daley M. Optimization of intelligent infusion pump technology to minimize vasopressor pump programming errors. Expert Opin Drug Saf. 2017:1–5.
   Web of Science ®Google Scholar
• Orto V, Hendrix CC, Griffith B, Shaikewitz ST. Implementation of a smart pump champions program to decrease potential patient harm. J Nurs Care Qual. 2015;30(2):138–143. doi:10.1097/NCQ.0000000000000090
   Web of Science ®Google Scholar
• Miller K, Rodger S, Kipping B, Kimble RM. A novel technology approach to pain management in children with burns: a prospective randomized controlled trial. Burns. 2011;37(3):395–405. doi:10.1016/j.burns.2010.12.008
   Web of Science ®Google Scholar
• Zimmermann C, Zeilfelder J, Bloecher T, Diehl M, Essig S, Stork W Evaluation of a smart drink monitoring device. Paper presented at: 2017 IEEE Sensors Applications Symposium (SAS); March 13–15, 2017; 2017.
   Google Scholar
• Van der Roest HG, Wenborn J, Pastink C, Droes RM, Orrell M. Assistive technology for memory support in dementia. Cochrane Database Syst Rev. 2017;6:Cd009627.
   PubMed Web of Science ®Google Scholar
• Kipping B, Rodger S, Miller K, Kimble RM. Virtual reality for acute pain reduction in adolescents undergoing burn wound care: a prospective randomized controlled trial. Burns. 2012;38(5):650–657. doi:10.1016/j.burns.2011.11.010
   PubMed Web of Science ®Google Scholar
• Mazzacano SD, McSherry T, Atterbury M, Helmold E, Gartner S, Schulman C. Effect of virtual reality distraction therapy on pain and anxiety in adult patients undergoing complex dressing changes: a randomized controlled trial. J Burn Care Res. 2016;37:S157.
   Google Scholar
• Patterson D, Soltani M, Teeley A, Morse D, Wiechman S, Gibran N. Hypnosis delivered through immersive virtual reality for wound care: a randomized, controlled study. J Burn Care Res. 2012;33(2 suppl. 1):S70.
   Google Scholar
• Moyle W, Bramble M, Jones C, Murfield J. Care staff perceptions of a social robot called Paro and a look-alike Plush Toy: a descriptive qualitative approach. Aging Ment Health. 2016;1–6.
   Web of Science ®Google Scholar
• Lapierre N, Neubauer N, Miguel-Cruz A, Rios Rincon A, Liu L, Rousseau J. The state of knowledge on technologies and their use for fall detection: a scoping review. Int J Med Inform. 2018;111:58–71. doi:10.1016/j.ijmedinf.2017.12.015
   PubMed Web of Science ®Google Scholar
• Anttila H, Samuelsson K, Salminen A-L, Brandt Å. Quality of evidence of assistive technology interventions for people with disability: an overview of systematic reviews. Technol Disabil. 2012;24(1):9–48. doi:10.3233/TAD-2012-0332
   Google Scholar
• Schulz R, Wahl H-W, Matthews JT. Advancing the aging and technology agenda in gerontology. Gerontologist. 2015;55(5):724–734. doi:10.1093/geront/gnu071
   PubMed Web of Science ®Google Scholar
• Lehnert T, Heuchert M, Hussain K, Koenig -H-H. Stated preferences for long-term care: a literature review. Ageing Soc. 2019;39(9):1873–1913. doi:10.1017/S0144686X18000314
   Web of Science ®Google Scholar
• Vawdrey DK, Hripcsak G. Publication bias in clinical trials of electronic health records. J Biomed Inform. 2013;46(1):139–141. doi:10.1016/j.jbi.2012.08.007
   Web of Science ®Google Scholar
• McNamee P, Murray E, Kelly MP, et al. Designing and undertaking a health economics study of digital health interventions. Am J Prev Med. 2016;51(5):852–860. doi:10.1016/j.amepre.2016.05.007
   PubMed Web of Science ®Google Scholar
• Frieden TR, Drazen JM, Harrington DP, McMurray JJV, Ware JH, Woodcock J. Evidence for health decision making—beyond randomized, controlled trials. N Engl J Med. 2017;377(5):465–475. doi:10.1056/NEJMra1614394
   PubMed Web of Science ®Google Scholar
• Riley WT, Glasgow RE, Etheredge L, Abernethy AP. Rapid, responsive, relevant (R3) research: a call for a rapid learning health research enterprise. Clin Transl Med. 2013;2(1):10. doi:10.1186/2001-1326-2-10
   PubMedGoogle Scholar
• Greenhalgh T, Wherton J, Papoutsi C, et al. Analysing the role of complexity in explaining the fortunes of technology programmes: empirical application of the NASSS framework. BMC Med. 2018;16(1):66. doi:10.1186/s12916-018-1050-6
   PubMed Web of Science ®Google Scholar