Factors That Influence Successful Adoption of Real-Time Location Systems for Use in a Dementia Care Setting: Mixed Methods Study

被引:0
作者
Haslam-Larmer, Lynn [1 ]
Grigorovich, Alisa [1 ,2 ]
Shum, Leia [1 ]
Bianchi, Andria [1 ,3 ,4 ]
Newman, Kristine [1 ]
Iaboni, Andrea [1 ,5 ]
McMurray, Josephine [6 ]
机构
[1] Univ Hlth Network, KITE Res Inst, Toronto Rehabil Inst, Toronto, ON, Canada
[2] Brock Univ, Recreat & Leisure Studies, St Catharines, ON, Canada
[3] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
[4] Unity Hlth Toronto, Ctr Clin Eth, Toronto, ON, Canada
[5] Univ Toronto, Dept Psychiat, Toronto, ON, Canada
[6] Wilfrid Laurier Univ, Lazaridis Sch Business & Econ, 73 George St, Brantford, ON N3T 2Y3, Canada
关键词
remote sensing technologies; dementia; real-time location systems; Fit between Individuals; Tasks; and Technology framework; FITT framework; technology implementation; HEALTH-CARE; TECHNOLOGY;
D O I
10.2196/45978
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background: Technology has been identified as a potential solution to alleviate resource gaps and augment care delivery in dementia care settings such as hospitals, long-term care, and retirement homes. There has been an increasing interest in using real -time location systems (RTLS) across health care settings for older adults with dementia, specifically related to the ability to track a person's movement and location. Objective: In this study, we aimed to explore the factors that influence the adoption or nonadoption of an RTLS during its implementation in a specialized inpatient dementia unit in a tertiary care rehabilitation hospital. Methods: The study included data from a brief quantitative survey and interviews from a convenience sample of frontline participants. Our deductive analysis of the interview used the 3 categories of the Fit Between Individuals, Task, and Technology framework as follows: individual and task, individual and technology, and task and technology. The purpose of using this framework was to assess the quality of the fit between technology attributes and an individual's self-reported intentions to adopt RTLS technology. Results: A total of 20 health care providers (HCPs) completed the survey, of which 16 (80%) participated in interviews. Coding and subsequent analysis identified 2 conceptual subthemes in the individual-task fit category, including the identification of the task and the perception that participants were missing at -risk patient events. The task-technology fit category consisted of 3 subthemes, including reorganization of the task, personal control in relation to the task, and efficiency or resource allocation. A total of 4 subthemes were identified in the individual -technology fit category, including privacy and personal agency, trust in the technology, user interfaces, and perceptions of increased safety. Conclusions: By the end of the study, most of the unit's HCPs were using the tablet app based on their perception of its usefulness, its alignment with their comfort level with technology, and its ability to help them perform job responsibilities. HCPs perceived that they were able to reduce patient search time dramatically, yet any improvements in care were noted to be implied, as this was not measured. There was limited anecdotal evidence of reduced patient risk or adverse events, but greater reported peace of mind for HCPs overseeing patients' activity levels.
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页数:14
相关论文
共 30 条
  • [1] IT-adoption and the interaction of task, technology and individuals: A fit framework and a case study
    Ammenwerth E.
    Iller C.
    Mahler C.
    [J]. BMC Medical Informatics and Decision Making, 6 (1) : 13P
  • [2] Nurses and the acceptance of innovations in technology-intensive contexts: the need for tailored management strategies
    Barchielli, Chiara
    Marullo, Cristina
    Bonciani, Manila
    Vainieri, Milena
    [J]. BMC HEALTH SERVICES RESEARCH, 2021, 21 (01) : 639
  • [3] Real-time locating systems (RTLS) in healthcare: a condensed primer
    Boulos, Maged N. Kamel
    Berry, Geoff
    [J]. INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, 2012, 11
  • [4] Changes in Motor Behavior Predict Falls and Identify Acute Events
    Bowen, Mary Elizabeth
    Cacchione, Pamela
    [J]. WESTERN JOURNAL OF NURSING RESEARCH, 2022, 44 (12) : 1100 - 1107
  • [5] Tracking technology: Lessons learned in two health care sites
    Bowen, Mary Elizabeth
    Wingrave, Chadwick A.
    Klanchar, Angel
    Craighead, Jeff
    [J]. TECHNOLOGY AND HEALTH CARE, 2013, 21 (03) : 191 - 197
  • [6] A review of measures of three common dementia-related behaviors: Rejection of care, aggression, and agitation
    Choi, Scott Seung W.
    Cajita, Maan Isabella
    Gitlin, Laura N.
    [J]. GERIATRIC NURSING, 2020, 41 (06) : 692 - 708
  • [7] Curry, 2014, MIXED METHODS HLTH S
  • [8] Improving Safety and Operational Efficiency in Residential Care Settings With WiFi-Based Localization
    Doshi-Velez, Finale
    Li, William
    Battat, Yoni
    Charrow, Ben
    Curthis, Dorothy
    Park, Jun-geun
    Hemachandra, Sachithra
    Velez, Javier
    Walsh, Cynthia
    Fredette, Don
    Reimer, Bryan
    Roy, Nicholas
    Teller, Seth
    [J]. JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION, 2012, 13 (06) : 558 - 563
  • [9] A mixed methods UTAUT2-based approach to assess mobile health adoption
    Duarte, Paulo
    Pinho, Jose Carlos
    [J]. JOURNAL OF BUSINESS RESEARCH, 2019, 102 : 140 - 150
  • [10] Gholamhosseini L, 2019, IRAN J PUBLIC HEALTH, V48, P593, DOI 10.18502/ijph.v48i4.980