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Technological strategies aimed at fall prevention in hospital environments: an integrative review

Abstract

Objective

To identify the knowledge produced about technological strategies aimed at fall prevention of adults in hospital environments.

Methods

This is an integrative literature review conducted in the Medical Literature Analysis and Retrieval System Online/National Library of Medicine (MEDLINE/PubMed), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Latin American and Caribbean Literature in Health Sciences (LILACS), Scopus and Web of Science databases published from 2017 to 2022.

Results

A total of 19 articles were included, most of them published in nursing journals (42%). The themes that emerged from the analysis were: types of technological strategies, costs, patient privacy and nursing professionals’ relevance in device development, assessment and use.

Conclusion

The research revealed a range of technological resources aimed at fall prevention available in the market that can be incorporated into care practices. Hospitals must define which strategy applies most appropriately to their reality.

Patient safety; Accidental falls; Technology; Hospitals; Accident prevention

Resumo

Objetivo

Identificar o conhecimento produzido sobre estratégias tecnológicas voltadas para prevenção de quedas de adultos no ambiente hospitalar.

Métodos

Revisão integrativa da literatura realizada nas bases de dados Medical Literature Analysis and Retrieval System Online/National Library of Medicine (MEDLINE/ PubMed), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Scopus e Web of Science publicados no período de 2017 a 2022.

Resultados

Foram incluídos 19 artigos, a maioria publicado em revistas de Enfermagem (42%). Os temas que emergiram da análise foram: tipos de estratégias tecnológicas, custos, privacidade do paciente e relevância dos profissionais de enfermagem no desenvolvimento, avaliação e utilização dos dispositivos.

Conclusão

A pesquisa revelou uma gama de recursos tecnológicos voltados para prevenção de quedas disponíveis no mercado que podem ser incorporados nas práticas assistenciais. Cabe aos hospitais definirem qual estratégia aplica-se de forma mais adequada à sua realidade.

Segurança do paciente; Acidentes por quedas; Tecnologia; Hospitais; Prevenção de acidentes

Resumen

Objetivo

Identificar el conocimiento producido sobre estrategias tecnológicas para la prevención de caídas de adultos en el ambiente hospitalario.

Métodos

Revisión integradora de la literatura realizada en las bases de datos Medical Literature Analysis and Retrieval System Online/National Library of Medicine (MEDLINE/ PubMed), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Literatura Latinoamericana y del Caribe en Ciencias de la Salud (LILACS), Scopus y Web of Science publicados durante el período de 2017 a 2022.

Resultados

Se incluyeron 19 artículos, la mayor parte publicados en revistas de Enfermería (42 %). Los temas que surgieron del análisis fueron: tipos de estrategias tecnológicas, costos, privacidad del paciente y relevancia de los profesionales de enfermería en el desarrollo, evaluación y utilización de los dispositivos.

Conclusión

La investigación reveló una variedad de recursos tecnológicos para la prevención de caídas disponibles en el mercado que pueden ser incorporados en las prácticas asistenciales. Cabe a los hospitales definir qué estrategia se aplica de forma más adecuada a su realidad.

Seguridad del paciente; Accidentes por caídas; Tecnología; Hospitales; Prevención de accidentes

Introduction

Providing damage-free assistance and consolidating itself as a highly reliable organization is a milestone sought by hospital institutions and, consequently, a major challenge since the provision of health care is considered a highly complex activity. The search for new treatments, more efficient equipment and innovations in technology represent a valuable contribution to hospital practices.(11. Sousa P, Mendes W. Segurança do paciente: criando organizações de saúde seguras. 2a ed. Rio de Janeiro: FIOCRUZ; 2019. 68 p.,22. Silva MS, Lago PN, Machado VM, Campos EC, Anaisse SL, Cruz ML, et al. As facilidades e contribuições da tecnologia point of care no ambiente hospitalar. Res Society Development,. 2022;11(2):e45511226086.)

In order to build a safety culture and mitigate the occurrence of adverse events such as the fall, health systems seek to adopt the principles of a high trust organization that include leadership development, implementation of quality improvement interventions, support for just culture and recommendations from organizations such as the Joint Commission and the Institute for Healthcare Improvement (IHI).(33. Veazie S, Peterson K, Bourne D, Anderson J, Damschroder L, Gunnar W. Implementing High-Reliability Organization Principles Into Practice: a rapid evidence review. J Patient Saf. 2022;18(1):e320–8. Review.)

Proposed by IHI, hierarchies of actions are intended to help teams identify which actions provide the strongest effect for system success and sustained improvement. Thus, in the face of the occurrence of an adverse event and proper root cause analysis, stronger actions are established to mitigate these weaknesses and provide continuous improvement, reducing the chances of an event recurring(33. Veazie S, Peterson K, Bourne D, Anderson J, Damschroder L, Gunnar W. Implementing High-Reliability Organization Principles Into Practice: a rapid evidence review. J Patient Saf. 2022;18(1):e320–8. Review.,44. Institute for Healthcare Improvement (IHI). RCA2: Improving Root Cause Analyses and Actions to Prevent Harm. United States: IHI; 2015 [cited 2022 May 5]. Available from: http://www.ihi.org/resources/Pages/Tools/RCA2-Improving-Root-Cause-Analyses-and-Actions-to-Prevent-Harm.aspx
http://www.ihi.org/resources/Pages/Tools...
)

Strong actions require less human dependence and include categories of activities such as architectural and physical issues, implementation of new devices with usability testing, standardization of equipment or processes, tangible involvement of leadership, in addition to the application of technological strategies, which have had a significant impact on reducing the prevalence of accidents due to falls in hospitals.(44. Institute for Healthcare Improvement (IHI). RCA2: Improving Root Cause Analyses and Actions to Prevent Harm. United States: IHI; 2015 [cited 2022 May 5]. Available from: http://www.ihi.org/resources/Pages/Tools/RCA2-Improving-Root-Cause-Analyses-and-Actions-to-Prevent-Harm.aspx
http://www.ihi.org/resources/Pages/Tools...

5. Ximenes MA, Brandão MG, Macêdo TS, Costa MM, Galindo Neto NM, Caetano JA, et al. Effectiveness of educational technology for preventing falls in a hospital environment. Acta Paul Enferm. 2022;35:eAPE01372.
-66. Ferreira JM, Hammerschmitdt KS, Siewert JS, Alvarez AM, Locks MO, Heidmann IT. Gerontotechnology for the prevention of falls of the elderly with Parkinson. Rev Bras Enferm. 2019;72(Suppl 2):243–50.)

Despite its importance, the incorporation of innovations in the health area is still a challenge, not only due to the technological operationalization, but also due to the integration of humanistic issues related to care as well as behavioral and cultural aspects. Therefore, the application of results arising from innovations in technological segments still presents obstacles in nursing, with its practical implementation being carried out very slowly. In this regard, the dissemination of solutions, innovative proposals and patents can reduce the gap between theory and practical applicability.(77. Silva TI, Braz PR, Cavalcante RB, Alves M. Diffusion of innovations theory and its applicability in research studies on nursing and health. Texto Contexto Enferm. 2022;31:e20210322.)

Considering the current scientific evolution, we observe the emergence of several resources aimed at accidents due to falls in order to detect the occurrence of these events. However, aiming at better quality standards, we move towards the search for devices for prediction and prevention, with greater potential to improve patient safety and quality of life.(88. Bates DW, Levine D, Syrowatka A, Kuznetsova M, Craig KJ, Rui A, et al. The potential of artificial intelligence to improve patient safety: a scoping review. NPJ Digit Med. 2021;4(1):54. Review.) In this sense, the present study aimed to identify the knowledge produced about technological strategies aimed at fall prevention among adults in hospital environments.

Methods

This is an integrative review study whose purpose is a broad literature analysis, synthesizing the results obtained in research on a theme or issue through a guiding question.(99. Whittemore R. Combining evidence in nursing research: methods and implications. Nurs Res. 2005;54(1):56–62.)The following steps have been taken: 1) Identification of the theme presented in question form; 2) Definition of study inclusion and exclusion criteria; 3) Sample selection; 4) Inclusion of selected studies; 5) Analysis of results with the identification of similarities and conflicts; 6) Data presentation and discussion.(1010. Mendes KD, Silveira RC, Galvão CM. Revisão integrativa: método de pesquisa para a incorporação de evidências na saúde e na enfermagem. Texto Contexto Enferm. 2008;17(4):758–64. Review.)The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) recommendations were used as a reference for carrying out the research and reporting the results. The search in the electronic databases was carried out from March to April 2022.(1111. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.)

Articles published in the last five years, in English, Portuguese and Spanish, that addressed the use of technological strategies to prevent adult falls in hospital environments were included. Dissertations, theses, duplicate documents, editorials, reviews were excluded, as well as those not corresponding to the study’s guiding question, such as technologies exclusive to children or not applicable to hospital environments. For the problem definition, the review’s guiding question was: How is the production of knowledge about technological strategies aimed at fall prevention in adults in hospital environments characterized? The search was performed by online access in the following databases: Medical Literature Analysis and Retrieval System Online/National Library of Medicine (MEDLINE/PubMed), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Latin American and Caribbean Literature in Health Sciences (LILACS), Scopus and Web of Science.

In order to ensure a broad search for primary studies, the strategy comprised the controlled descriptors of health terminology of Health Descriptors in Health Sciences (DeCS) in English, Portuguese and Spanish: “Accidental Falls”, “Acidentes por Quedas”, “Accidentes por Caídas”, “Technology”, “Tecnologia”, “Tecnología”, “Hospitals”, “Hospitales” and “Hospitais”, which were combined using Boolean operators OR and AND. Figure 1 presents the selection process of articles until obtaining the final sample.

Figure 1
Article selection process flowchart for sample composition

Initially, the title and abstract of all screened articles were read; then, a detailed reading of selected articles was carried out and those chosen to compose the final sample. The search and selection were carried out by reviewers independently by two researchers, resorting to a third researcher for cases of divergence. Data were collected and systematized in a summary table with the following information: article number, title, authors, year and place where it was published, database, type of study, technological specification, main findings, limitations and journal scope. The study is linked to the project Registration of patents related to nursing, CAAE (Certificado de Apresentação para Apreciação Ética - Certificate of Presentation for Ethical Consideration) 47943621.5.0000.5411, and approved by the Research Ethics Committee of UNESP’s Faculdade de Medicina de Botucatu, under Opinion 4,841,423.

Results

Of the 1,445 articles located, 19 were established as the body of analysis, most of which were published in 2017(1212. Teh RC, Wilson A, Ranasinghe D, Visvanathan R. Use and clinical efficacy of standard and health information technology fall risk assessment tools. Australas J Ageing. 2017;36(4):327–31.

13. Wickramasinghe A, Ranasinghe DC, Fumeaux C, Hill KD, Visvanathan R. sequence learning with passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People. IEEE J Biomed Health Inform. 2017;21(4):917–29.

14. Razjouyan J, Grewal GS, Rishel C, Parthasarathy S, Mohler J, Najafi B. Activity Monitoring and Heart Rate Variability as Indicators of Fall Risk: Proof-of-Concept for Application of Wearable Sensors in the Acute Care Setting. J Gerontol Nurs. 2017;43(7):53–62.

15. Balaguera HU, Wise D, Ng CY, Tso HW, Chiang WL, Hutchinson AM, et al. Using a medical intranet of things system to prevent bed falls in an acute care Hospital: a pilot study. J Med Internet Res. 2017;19(5):e150.

16. Yokota S, Endo M, Ohe K. Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector Machines. Comput Inform Nurs. 2017;35(8):408–16.

17. Opsahl AG, Ebright P, Cangany M, Lowder M, Scott D, Shaner T. Outcomes of adding patient and family engagement education to fall prevention bundled interventions. J Nurs Care Qual. 2017;32(3):252–8.
-1818. Potter P, Allen K, Costantinou E, Klinkenberg WD, Malen J, Norris T, et al. Evaluation of sensor technology to detect fall risk and prevent falls in acute care. Jt Comm J Qual Patient Saf. 2017;43(8):414–21.)and 2018(1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.

20. Yokota S, Tomotaki A, Mohri O, Endo M, Ohe K. Evaluating the effectiveness of a fall risk screening tool implemented in an electronic medical record system. J Nurs Care Qual. 2018;33(4):E1–6.

21. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.
-2222. Nuñez Filha MC, Pinto EB, Leite HJ. Desenvolvimento de um aplicativo para identificação do risco de quedas em idosos. Rev Pesq Fisio. 2018;8(3):354-60.)(58%), in the United States(1414. Razjouyan J, Grewal GS, Rishel C, Parthasarathy S, Mohler J, Najafi B. Activity Monitoring and Heart Rate Variability as Indicators of Fall Risk: Proof-of-Concept for Application of Wearable Sensors in the Acute Care Setting. J Gerontol Nurs. 2017;43(7):53–62.,1515. Balaguera HU, Wise D, Ng CY, Tso HW, Chiang WL, Hutchinson AM, et al. Using a medical intranet of things system to prevent bed falls in an acute care Hospital: a pilot study. J Med Internet Res. 2017;19(5):e150.,1717. Opsahl AG, Ebright P, Cangany M, Lowder M, Scott D, Shaner T. Outcomes of adding patient and family engagement education to fall prevention bundled interventions. J Nurs Care Qual. 2017;32(3):252–8.

18. Potter P, Allen K, Costantinou E, Klinkenberg WD, Malen J, Norris T, et al. Evaluation of sensor technology to detect fall risk and prevent falls in acute care. Jt Comm J Qual Patient Saf. 2017;43(8):414–21.
-1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.,2323. Baker PA, Roderick MW, Baker CJ. PUP® (Patient Is Up) Smart Sock Technology Prevents Falls Among Hospital Patients With High Fall Risk in a Clinical Trial and Observational Study. J Gerontol Nurs. 2021;47(10):37-43.

24. Sun R, Aldunate RG, Paramathayalan VR, Ratnam R, Jain S, Morrow DG, et al. Preliminary evaluation of a self-guided fall risk assessment tool for older adults. Arch Gerontol Geriatr. 2019;82:94–9.

25. Hebb A, Kistler M, George E, Zamboni B. Satisfaction and technology acceptance of staff regarding use of continuous video monitoring in comparison with sitters. J Nurs Adm. 2021;51(2):60–2.
-2626. Duckworth M, Adelman J, Belategui K, Feliciano Z, Jackson E, Khasnabish S, et al. Assessing the effectiveness of engaging patients and their families in the three-step fall prevention process across modalities of an evidence-based fall prevention toolkit: an implementation science study. J Med Internet Res. 2019;21(1):e10008.) (47.4%), Australia,(1212. Teh RC, Wilson A, Ranasinghe D, Visvanathan R. Use and clinical efficacy of standard and health information technology fall risk assessment tools. Australas J Ageing. 2017;36(4):327–31.,1313. Wickramasinghe A, Ranasinghe DC, Fumeaux C, Hill KD, Visvanathan R. sequence learning with passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People. IEEE J Biomed Health Inform. 2017;21(4):917–29.)Germany,(2727. Jähne-Raden N, Kulau U, Marschollek M, Wolf KH. INBED: a Highly Specialized System for Bed-Exit-Detection and Fall Prevention on a Geriatric Ward. Sensors (Basel). 2019;19(5):1017.,2828. Jähne-Raden N, Gütschleg H, Wolf MC, Kulau U, Wolf KH. Wireless sensor network for fall prevention on geriatric wards: a report. stud health Technol Inform. 2019;264:620–4.)Brazil(2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.,2222. Nuñez Filha MC, Pinto EB, Leite HJ. Desenvolvimento de um aplicativo para identificação do risco de quedas em idosos. Rev Pesq Fisio. 2018;8(3):354-60.)and Japan(1616. Yokota S, Endo M, Ohe K. Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector Machines. Comput Inform Nurs. 2017;35(8):408–16.,2020. Yokota S, Tomotaki A, Mohri O, Endo M, Ohe K. Evaluating the effectiveness of a fall risk screening tool implemented in an electronic medical record system. J Nurs Care Qual. 2018;33(4):E1–6.)(10.5%) and United Kingdom(2929. Timmons S, Vezyridis P, Sahota O. Trialling technologies to reduce hospital in-patient falls: an agential realist analysis. Sociol Health Illn. 2019;41(6):1104–19.) and Singapore (3030. Seow JP, Chua TL, Aloweni F, Lim SH, Ang SY. Effectiveness of an integrated three-mode bed exit alarm system in reducing inpatient falls within an acute care setting. Jpn J Nurs Sci. 2022;19(1):e12446.) (5.3%). We identified 14 usability and product presentation studies,(1313. Wickramasinghe A, Ranasinghe DC, Fumeaux C, Hill KD, Visvanathan R. sequence learning with passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People. IEEE J Biomed Health Inform. 2017;21(4):917–29.

14. Razjouyan J, Grewal GS, Rishel C, Parthasarathy S, Mohler J, Najafi B. Activity Monitoring and Heart Rate Variability as Indicators of Fall Risk: Proof-of-Concept for Application of Wearable Sensors in the Acute Care Setting. J Gerontol Nurs. 2017;43(7):53–62.

15. Balaguera HU, Wise D, Ng CY, Tso HW, Chiang WL, Hutchinson AM, et al. Using a medical intranet of things system to prevent bed falls in an acute care Hospital: a pilot study. J Med Internet Res. 2017;19(5):e150.
-1616. Yokota S, Endo M, Ohe K. Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector Machines. Comput Inform Nurs. 2017;35(8):408–16.,1818. Potter P, Allen K, Costantinou E, Klinkenberg WD, Malen J, Norris T, et al. Evaluation of sensor technology to detect fall risk and prevent falls in acute care. Jt Comm J Qual Patient Saf. 2017;43(8):414–21.,1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.,2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.

22. Nuñez Filha MC, Pinto EB, Leite HJ. Desenvolvimento de um aplicativo para identificação do risco de quedas em idosos. Rev Pesq Fisio. 2018;8(3):354-60.

23. Baker PA, Roderick MW, Baker CJ. PUP® (Patient Is Up) Smart Sock Technology Prevents Falls Among Hospital Patients With High Fall Risk in a Clinical Trial and Observational Study. J Gerontol Nurs. 2021;47(10):37-43.

24. Sun R, Aldunate RG, Paramathayalan VR, Ratnam R, Jain S, Morrow DG, et al. Preliminary evaluation of a self-guided fall risk assessment tool for older adults. Arch Gerontol Geriatr. 2019;82:94–9.

25. Hebb A, Kistler M, George E, Zamboni B. Satisfaction and technology acceptance of staff regarding use of continuous video monitoring in comparison with sitters. J Nurs Adm. 2021;51(2):60–2.

26. Duckworth M, Adelman J, Belategui K, Feliciano Z, Jackson E, Khasnabish S, et al. Assessing the effectiveness of engaging patients and their families in the three-step fall prevention process across modalities of an evidence-based fall prevention toolkit: an implementation science study. J Med Internet Res. 2019;21(1):e10008.

27. Jähne-Raden N, Kulau U, Marschollek M, Wolf KH. INBED: a Highly Specialized System for Bed-Exit-Detection and Fall Prevention on a Geriatric Ward. Sensors (Basel). 2019;19(5):1017.
-2828. Jähne-Raden N, Gütschleg H, Wolf MC, Kulau U, Wolf KH. Wireless sensor network for fall prevention on geriatric wards: a report. stud health Technol Inform. 2019;264:620–4.,3131. Costa LF, Ramalho FA. A usabilidade nos estudos de uso da informação: em cena usuários e sistemas interativos de informação. Perspect Cien Inf. 2010;15(1):92–117.) two control case studies,(1717. Opsahl AG, Ebright P, Cangany M, Lowder M, Scott D, Shaner T. Outcomes of adding patient and family engagement education to fall prevention bundled interventions. J Nurs Care Qual. 2017;32(3):252–8.,2020. Yokota S, Tomotaki A, Mohri O, Endo M, Ohe K. Evaluating the effectiveness of a fall risk screening tool implemented in an electronic medical record system. J Nurs Care Qual. 2018;33(4):E1–6.) a comparative retrospective study,(3030. Seow JP, Chua TL, Aloweni F, Lim SH, Ang SY. Effectiveness of an integrated three-mode bed exit alarm system in reducing inpatient falls within an acute care setting. Jpn J Nurs Sci. 2022;19(1):e12446.) a randomized controlled study(2929. Timmons S, Vezyridis P, Sahota O. Trialling technologies to reduce hospital in-patient falls: an agential realist analysis. Sociol Health Illn. 2019;41(6):1104–19.) and a comparative prospective.(1212. Teh RC, Wilson A, Ranasinghe D, Visvanathan R. Use and clinical efficacy of standard and health information technology fall risk assessment tools. Australas J Ageing. 2017;36(4):327–31.)Most articles were published in journals specialized in nursing,(1717. Opsahl AG, Ebright P, Cangany M, Lowder M, Scott D, Shaner T. Outcomes of adding patient and family engagement education to fall prevention bundled interventions. J Nurs Care Qual. 2017;32(3):252–8.,1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.,2020. Yokota S, Tomotaki A, Mohri O, Endo M, Ohe K. Evaluating the effectiveness of a fall risk screening tool implemented in an electronic medical record system. J Nurs Care Qual. 2018;33(4):E1–6.,2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07., 2525. Hebb A, Kistler M, George E, Zamboni B. Satisfaction and technology acceptance of staff regarding use of continuous video monitoring in comparison with sitters. J Nurs Adm. 2021;51(2):60–2.,2626. Duckworth M, Adelman J, Belategui K, Feliciano Z, Jackson E, Khasnabish S, et al. Assessing the effectiveness of engaging patients and their families in the three-step fall prevention process across modalities of an evidence-based fall prevention toolkit: an implementation science study. J Med Internet Res. 2019;21(1):e10008.,2828. Jähne-Raden N, Gütschleg H, Wolf MC, Kulau U, Wolf KH. Wireless sensor network for fall prevention on geriatric wards: a report. stud health Technol Inform. 2019;264:620–4.,3030. Seow JP, Chua TL, Aloweni F, Lim SH, Ang SY. Effectiveness of an integrated three-mode bed exit alarm system in reducing inpatient falls within an acute care setting. Jpn J Nurs Sci. 2022;19(1):e12446.) (8/42.1%), followed by gerontology and geriatrics(1212. Teh RC, Wilson A, Ranasinghe D, Visvanathan R. Use and clinical efficacy of standard and health information technology fall risk assessment tools. Australas J Ageing. 2017;36(4):327–31.,1414. Razjouyan J, Grewal GS, Rishel C, Parthasarathy S, Mohler J, Najafi B. Activity Monitoring and Heart Rate Variability as Indicators of Fall Risk: Proof-of-Concept for Application of Wearable Sensors in the Acute Care Setting. J Gerontol Nurs. 2017;43(7):53–62.,2323. Baker PA, Roderick MW, Baker CJ. PUP® (Patient Is Up) Smart Sock Technology Prevents Falls Among Hospital Patients With High Fall Risk in a Clinical Trial and Observational Study. J Gerontol Nurs. 2021;47(10):37-43.,2424. Sun R, Aldunate RG, Paramathayalan VR, Ratnam R, Jain S, Morrow DG, et al. Preliminary evaluation of a self-guided fall risk assessment tool for older adults. Arch Gerontol Geriatr. 2019;82:94–9.) (4/22.1%) and medical informatics(1515. Balaguera HU, Wise D, Ng CY, Tso HW, Chiang WL, Hutchinson AM, et al. Using a medical intranet of things system to prevent bed falls in an acute care Hospital: a pilot study. J Med Internet Res. 2017;19(5):e150.,1616. Yokota S, Endo M, Ohe K. Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector Machines. Comput Inform Nurs. 2017;35(8):408–16.,2626. Duckworth M, Adelman J, Belategui K, Feliciano Z, Jackson E, Khasnabish S, et al. Assessing the effectiveness of engaging patients and their families in the three-step fall prevention process across modalities of an evidence-based fall prevention toolkit: an implementation science study. J Med Internet Res. 2019;21(1):e10008.) (3/15.8%). The other publications were in journals with engineering(1313. Wickramasinghe A, Ranasinghe DC, Fumeaux C, Hill KD, Visvanathan R. sequence learning with passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People. IEEE J Biomed Health Inform. 2017;21(4):917–29.,2727. Jähne-Raden N, Kulau U, Marschollek M, Wolf KH. INBED: a Highly Specialized System for Bed-Exit-Detection and Fall Prevention on a Geriatric Ward. Sensors (Basel). 2019;19(5):1017.) (2/10.5%), patient safety(1818. Potter P, Allen K, Costantinou E, Klinkenberg WD, Malen J, Norris T, et al. Evaluation of sensor technology to detect fall risk and prevent falls in acute care. Jt Comm J Qual Patient Saf. 2017;43(8):414–21.)(1/5.3%) and medical sociology(2929. Timmons S, Vezyridis P, Sahota O. Trialling technologies to reduce hospital in-patient falls: an agential realist analysis. Sociol Health Illn. 2019;41(6):1104–19.) scopes (1/5.3%). Among the technological strategy specifications, seven articles referred to environmental devices,(1515. Balaguera HU, Wise D, Ng CY, Tso HW, Chiang WL, Hutchinson AM, et al. Using a medical intranet of things system to prevent bed falls in an acute care Hospital: a pilot study. J Med Internet Res. 2017;19(5):e150.,1818. Potter P, Allen K, Costantinou E, Klinkenberg WD, Malen J, Norris T, et al. Evaluation of sensor technology to detect fall risk and prevent falls in acute care. Jt Comm J Qual Patient Saf. 2017;43(8):414–21.,1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.,2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.,2525. Hebb A, Kistler M, George E, Zamboni B. Satisfaction and technology acceptance of staff regarding use of continuous video monitoring in comparison with sitters. J Nurs Adm. 2021;51(2):60–2.,2929. Timmons S, Vezyridis P, Sahota O. Trialling technologies to reduce hospital in-patient falls: an agential realist analysis. Sociol Health Illn. 2019;41(6):1104–19.,3030. Seow JP, Chua TL, Aloweni F, Lim SH, Ang SY. Effectiveness of an integrated three-mode bed exit alarm system in reducing inpatient falls within an acute care setting. Jpn J Nurs Sci. 2022;19(1):e12446.) five for wearable devices,(1313. Wickramasinghe A, Ranasinghe DC, Fumeaux C, Hill KD, Visvanathan R. sequence learning with passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People. IEEE J Biomed Health Inform. 2017;21(4):917–29.,1414. Razjouyan J, Grewal GS, Rishel C, Parthasarathy S, Mohler J, Najafi B. Activity Monitoring and Heart Rate Variability as Indicators of Fall Risk: Proof-of-Concept for Application of Wearable Sensors in the Acute Care Setting. J Gerontol Nurs. 2017;43(7):53–62.,2323. Baker PA, Roderick MW, Baker CJ. PUP® (Patient Is Up) Smart Sock Technology Prevents Falls Among Hospital Patients With High Fall Risk in a Clinical Trial and Observational Study. J Gerontol Nurs. 2021;47(10):37-43.,2727. Jähne-Raden N, Kulau U, Marschollek M, Wolf KH. INBED: a Highly Specialized System for Bed-Exit-Detection and Fall Prevention on a Geriatric Ward. Sensors (Basel). 2019;19(5):1017.,2828. Jähne-Raden N, Gütschleg H, Wolf MC, Kulau U, Wolf KH. Wireless sensor network for fall prevention on geriatric wards: a report. stud health Technol Inform. 2019;264:620–4.) five for information technology program/tool(1212. Teh RC, Wilson A, Ranasinghe D, Visvanathan R. Use and clinical efficacy of standard and health information technology fall risk assessment tools. Australas J Ageing. 2017;36(4):327–31.,1616. Yokota S, Endo M, Ohe K. Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector Machines. Comput Inform Nurs. 2017;35(8):408–16.,2020. Yokota S, Tomotaki A, Mohri O, Endo M, Ohe K. Evaluating the effectiveness of a fall risk screening tool implemented in an electronic medical record system. J Nurs Care Qual. 2018;33(4):E1–6.,2222. Nuñez Filha MC, Pinto EB, Leite HJ. Desenvolvimento de um aplicativo para identificação do risco de quedas em idosos. Rev Pesq Fisio. 2018;8(3):354-60.,2424. Sun R, Aldunate RG, Paramathayalan VR, Ratnam R, Jain S, Morrow DG, et al. Preliminary evaluation of a self-guided fall risk assessment tool for older adults. Arch Gerontol Geriatr. 2019;82:94–9.) and two articles were focused on educational processes.(1717. Opsahl AG, Ebright P, Cangany M, Lowder M, Scott D, Shaner T. Outcomes of adding patient and family engagement education to fall prevention bundled interventions. J Nurs Care Qual. 2017;32(3):252–8.,2626. Duckworth M, Adelman J, Belategui K, Feliciano Z, Jackson E, Khasnabish S, et al. Assessing the effectiveness of engaging patients and their families in the three-step fall prevention process across modalities of an evidence-based fall prevention toolkit: an implementation science study. J Med Internet Res. 2019;21(1):e10008.)The work made it possible to identify technological strategies aimed at fall prevention in hospital environments, as shown in Chart 1.

Chart 1
Synthesis of studies included in the review

After analysis, from the perspectives proposed by the authors, research was found on technological strategies aimed at preventing adult falls from various aspects, with the following themes emerging: a) types of technological strategies; b) costs; c) patient privacy; d) nursing professionals’ relevance in device development, assessment and use. The types of technological strategies are presented in four strands as shown in Figure 2. In the costs theme, in addition to the analysis for implementation, studies are presented that reveal devices that can reduce expenses with care, or even those spent on treatment of damage resulting from fall in hospital environments. Privacy is addressed in issues related to acceptability by patient, family and team, in addition to restrictions and legal aspects. The last theme portrays the importance of nurses’ role in device assessment and use as a criterion for product acceptability, in addition to pointing out the need to involve these professionals in the development of assistive technologies aimed at fall prevention in hospital environments.

Figure 2
Types of technology strategies

Discussion

Our study portrays the diversity of strategies that have been developed for fall prevention, mainly demonstrating the usability of these resources. The study’s findings revealed that developed countries tend to invest more in technology and innovation, reflecting concerns about patient safety, as well as taking into account the aging population present in these countries. In Brazil, despite the scarcity of investments in innovative science, there is a growing trend of deaths from falls with increasing age, which can be avoided by adopting preventive measures.(1313. Wickramasinghe A, Ranasinghe DC, Fumeaux C, Hill KD, Visvanathan R. sequence learning with passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People. IEEE J Biomed Health Inform. 2017;21(4):917–29.

14. Razjouyan J, Grewal GS, Rishel C, Parthasarathy S, Mohler J, Najafi B. Activity Monitoring and Heart Rate Variability as Indicators of Fall Risk: Proof-of-Concept for Application of Wearable Sensors in the Acute Care Setting. J Gerontol Nurs. 2017;43(7):53–62.

15. Balaguera HU, Wise D, Ng CY, Tso HW, Chiang WL, Hutchinson AM, et al. Using a medical intranet of things system to prevent bed falls in an acute care Hospital: a pilot study. J Med Internet Res. 2017;19(5):e150.

16. Yokota S, Endo M, Ohe K. Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector Machines. Comput Inform Nurs. 2017;35(8):408–16.
-1717. Opsahl AG, Ebright P, Cangany M, Lowder M, Scott D, Shaner T. Outcomes of adding patient and family engagement education to fall prevention bundled interventions. J Nurs Care Qual. 2017;32(3):252–8.,1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.,2222. Nuñez Filha MC, Pinto EB, Leite HJ. Desenvolvimento de um aplicativo para identificação do risco de quedas em idosos. Rev Pesq Fisio. 2018;8(3):354-60.

23. Baker PA, Roderick MW, Baker CJ. PUP® (Patient Is Up) Smart Sock Technology Prevents Falls Among Hospital Patients With High Fall Risk in a Clinical Trial and Observational Study. J Gerontol Nurs. 2021;47(10):37-43.

24. Sun R, Aldunate RG, Paramathayalan VR, Ratnam R, Jain S, Morrow DG, et al. Preliminary evaluation of a self-guided fall risk assessment tool for older adults. Arch Gerontol Geriatr. 2019;82:94–9.

25. Hebb A, Kistler M, George E, Zamboni B. Satisfaction and technology acceptance of staff regarding use of continuous video monitoring in comparison with sitters. J Nurs Adm. 2021;51(2):60–2.
-2626. Duckworth M, Adelman J, Belategui K, Feliciano Z, Jackson E, Khasnabish S, et al. Assessing the effectiveness of engaging patients and their families in the three-step fall prevention process across modalities of an evidence-based fall prevention toolkit: an implementation science study. J Med Internet Res. 2019;21(1):e10008.,2828. Jähne-Raden N, Gütschleg H, Wolf MC, Kulau U, Wolf KH. Wireless sensor network for fall prevention on geriatric wards: a report. stud health Technol Inform. 2019;264:620–4.,3232. Organização Mundial da Propriedade Intelectual (OMPI). Índice Global de Inovação 2021: resumo executivo. Genebra: OMPI; 2021 [citado2022 May 5]. Disponível em: https://www.wipo.int/edocs/pubdocs/pt/wipo_pub_gii_2021_exec.pdf
https://www.wipo.int/edocs/pubdocs/pt/wi...
,3333. Monteiro YC, Vieira MA, Vitorino PV, Queiroz SJ, Policena GM, Souza AC. Trend of fall-related mortality among the elderly. Rev Esc Enferm USP. 2021;55:e20200069.)

Types of technology strategies

With technological advances, there has been an increase in use of technological strategies aimed at monitoring and preventing falls in hospital environments. This is a positive fact, since hospitalization and length of stay considerably increase risk of fall, due to change and lack of knowledge of the environment.(3434. Diniz JL, Sousa VF, Coutinho JF, Araújo IL, Andrade RM, Costa JS, et al. Internet of things gerontechnology for fall prevention in older adults: an integrative review. Acta Paul Enferm. 2022;35:eAPE003142. Review.

35. Brasil. Ministério da Saúde. Agência Nacional de Vigilância Sanitária (ANVISA). Fundação Oswaldo Cruz (FIOCRUZ). Protocolo prevenção de quedas. Brasília (DF): Ministério da Saúde; Anvisa; Fiocruz; 2013 [citado2022 Set 20]. Disponível em: www.saude.mt.gov.br/upload/controle.../protocolos_cp_n6_2013_prevencao.pdf
www.saude.mt.gov.br/upload/controle.../p...
-3636. Pasa TS, Magnago TS, Urbanetto JS, Baratto MA, Morais BX, Carollo JB. Risk assessment and incidence of falls in adult hospitalized patients. Rev Lat Am Enfermagem. 2017;25:e2862.)Devices such as hardware and software, sensors and information technology enabled virtual environment integration with face-to-face daily activities, in addition to contributing to expanding access to information and care.(3737. Marengo LL, Kozyreff AM, Moraes FD, Maricato LI, Barberato-Filho S. Tecnologias móveis em saúde: reflexões sobre desenvolvimento, aplicações, legislação e ética. Rev Panam Salud Publica. 2022;46:e37.) In the study, it was possible to identify environmental devices, such as video monitoring, which is a non-invasive mechanism for fall prevention in hospitalized patients, in rehabilitation or even with cognitive impairment, and technologies of 3D image capture systems with motion detector sensor may also be used. Integrated alarm systems capable of signaling the attempt and exit of patient from bed, pressure-sensitive pad that is placed under the mattress of the bed and the padding of the chair that transmits an alert to a central monitor on the ward if plaque pressure is reduced and wireless sensors placed at the bedside to target pressure injuries and monitor vital signs. Mechanical containment equipment also plays an important role in fall prevention, such as the device developed for safe toilet use.(1515. Balaguera HU, Wise D, Ng CY, Tso HW, Chiang WL, Hutchinson AM, et al. Using a medical intranet of things system to prevent bed falls in an acute care Hospital: a pilot study. J Med Internet Res. 2017;19(5):e150.,1818. Potter P, Allen K, Costantinou E, Klinkenberg WD, Malen J, Norris T, et al. Evaluation of sensor technology to detect fall risk and prevent falls in acute care. Jt Comm J Qual Patient Saf. 2017;43(8):414–21.,1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.,2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.,2525. Hebb A, Kistler M, George E, Zamboni B. Satisfaction and technology acceptance of staff regarding use of continuous video monitoring in comparison with sitters. J Nurs Adm. 2021;51(2):60–2.,2929. Timmons S, Vezyridis P, Sahota O. Trialling technologies to reduce hospital in-patient falls: an agential realist analysis. Sociol Health Illn. 2019;41(6):1104–19.,3030. Seow JP, Chua TL, Aloweni F, Lim SH, Ang SY. Effectiveness of an integrated three-mode bed exit alarm system in reducing inpatient falls within an acute care setting. Jpn J Nurs Sci. 2022;19(1):e12446.)Among the wearable devices, we find INBED, a resource to be placed on the upper half of patients’ leg to detect various types of movements, PUP smart socks, which signal when patients get out of bed and step on the floor, detecting pressure through sock sensors and triggering an alert, battery-free radio frequency identification (RFID) tag attached to patients’ chests using standard electrocardiogram electrodes (ECG), to analyze bed exit movements and in addition to being able to record biological parameters, including ECG, respiratory rate, body temperature and three-dimensional acceleration.(1313. Wickramasinghe A, Ranasinghe DC, Fumeaux C, Hill KD, Visvanathan R. sequence learning with passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People. IEEE J Biomed Health Inform. 2017;21(4):917–29.,2323. Baker PA, Roderick MW, Baker CJ. PUP® (Patient Is Up) Smart Sock Technology Prevents Falls Among Hospital Patients With High Fall Risk in a Clinical Trial and Observational Study. J Gerontol Nurs. 2021;47(10):37-43.,2727. Jähne-Raden N, Kulau U, Marschollek M, Wolf KH. INBED: a Highly Specialized System for Bed-Exit-Detection and Fall Prevention on a Geriatric Ward. Sensors (Basel). 2019;19(5):1017.,2828. Jähne-Raden N, Gütschleg H, Wolf MC, Kulau U, Wolf KH. Wireless sensor network for fall prevention on geriatric wards: a report. stud health Technol Inform. 2019;264:620–4.)Among the software and applications developed as a resource for fall prevention, we observed risk screening systems using a Kinect camera and a support vector machine, in addition to those based on HIT and FROP. They all seek to parameterize risks of falls by identifying or using information previously stored in a database such as an electronic medical record. However, there are more accessible software that allow the computerized use of validated scales already used in professional practice, such as the Berg Balance Scale, Tinetti Scale, Dynamic Gait Index and the Timed Up and Go (TUG) test, offering a final score and reporting capability.(1212. Teh RC, Wilson A, Ranasinghe D, Visvanathan R. Use and clinical efficacy of standard and health information technology fall risk assessment tools. Australas J Ageing. 2017;36(4):327–31.,1616. Yokota S, Endo M, Ohe K. Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector Machines. Comput Inform Nurs. 2017;35(8):408–16.,2020. Yokota S, Tomotaki A, Mohri O, Endo M, Ohe K. Evaluating the effectiveness of a fall risk screening tool implemented in an electronic medical record system. J Nurs Care Qual. 2018;33(4):E1–6.,2222. Nuñez Filha MC, Pinto EB, Leite HJ. Desenvolvimento de um aplicativo para identificação do risco de quedas em idosos. Rev Pesq Fisio. 2018;8(3):354-60.,2424. Sun R, Aldunate RG, Paramathayalan VR, Ratnam R, Jain S, Morrow DG, et al. Preliminary evaluation of a self-guided fall risk assessment tool for older adults. Arch Gerontol Geriatr. 2019;82:94–9.) The educational video, planned and developed for use by the care staff, aims at the adoption of preventive measures for falls, allowing the involvement of family members in the discussion and raising awareness on the subject. Still on educational processes, the Fall TIPS Toolkit, developed in the USA, is based on risk assessment carried out by nursing professionals who then prepare a personalized fall prevention plan, and this information is made available on a bedside monitor for patient and family, providing engagement, showing adherence of more than 80% to the protocol.(1717. Opsahl AG, Ebright P, Cangany M, Lowder M, Scott D, Shaner T. Outcomes of adding patient and family engagement education to fall prevention bundled interventions. J Nurs Care Qual. 2017;32(3):252–8.,2626. Duckworth M, Adelman J, Belategui K, Feliciano Z, Jackson E, Khasnabish S, et al. Assessing the effectiveness of engaging patients and their families in the three-step fall prevention process across modalities of an evidence-based fall prevention toolkit: an implementation science study. J Med Internet Res. 2019;21(1):e10008.) Device range expansion has a direct impact on the population’ health as they are made available in hospital networks. Despite the significant evolution of the incorporation of health technologies in the Brazilian public sphere, constant improvements are necessary for this process to occur in a sustained and transparent manner, guaranteeing efficacy and safety for users.(3838. Lima SG, Brito C, Andrade CJ. O processo de incorporação de tecnologias em saúde no Brasil em uma perspectiva internacional. Cien Saude Colet. 2019;24(5):1709–22.)

Costs

Falls are responsible for increasing treatment and hospital stay costs, in addition to generating changes in emotional aspects in the health team and negatively impacting the institution credibility in society. A Canadian study showed that the average excess cost spent by the hospital with a severe fall was C$30,969 compared to patients who did not have this outcome. The mean length of hospital stay was 45 days for patients who fell and 11 days for those who did not. An Australian study revealed an increase in hospitalization time of eight days, in addition to generating an additional cost for the hospital of A$ 6,669. In Brazil, hospitals have considerable expenses in hip fracture treatment in older adults. A study showed that values ranged from R$ 1,700.00 (reais, Brazilian currency) for care per patient in the Unified Health System (SUS - Sistema Único de Saúde) to R$ 24,000.00 for care per patient in health insurance companies. One of the justifications for this high cost is the time between trauma and surgery due to the unavailability of operating rooms and materials needed for the procedure, in addition to the long preoperative patient preparation time.(3636. Pasa TS, Magnago TS, Urbanetto JS, Baratto MA, Morais BX, Carollo JB. Risk assessment and incidence of falls in adult hospitalized patients. Rev Lat Am Enfermagem. 2017;25:e2862.,3939. Zecevic AA, Chesworth BM, Zaric GS, Huang Q, Salmon A, McAuslan D, et al. Estimating the cost of serious injurious falls in a Canadian acute care hospital. Can J Aging. 2012;31(2):139-47.

40. Morello RT, Barker AL, Watts JJ, Haines T, Zavarsek SS, Hill KD, et al. The extra resource burden of in-hospital falls: a cost of falls study. Med J Aust. 2015;203(9):367.
-4141. Loures FB, Chaoubah A, Oliveira VM, Almeida AM, Campos EM, Paiva EP. Análise econômica do tratamento cirúrgico de fratura do quadril em idosos. Rev Saude Publica. 2015;49:12.)The validity, feasibility and acceptability of devices designed to prevent falls can help reduce costs related to this adverse event in hospital environments, in addition to reducing nursing staff workload while increasing quality of care and patient safety. Some devices aimed at monitoring several patients simultaneously can reduce costs, in addition to the fact that the amounts invested in the acquisition and implementation of devices can be recovered in a short period of time as a result of reductions in falls and funds that would be directed to hiring a caregivers.(1414. Razjouyan J, Grewal GS, Rishel C, Parthasarathy S, Mohler J, Najafi B. Activity Monitoring and Heart Rate Variability as Indicators of Fall Risk: Proof-of-Concept for Application of Wearable Sensors in the Acute Care Setting. J Gerontol Nurs. 2017;43(7):53–62.,1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.,2525. Hebb A, Kistler M, George E, Zamboni B. Satisfaction and technology acceptance of staff regarding use of continuous video monitoring in comparison with sitters. J Nurs Adm. 2021;51(2):60–2.) Resources that use commercially available imaging technologies present themselves as more cost-effective solutions, such as low-cost cameras with video/depth detection with 3D motion tracking, such as Microsoft Kinect™ and Orbbec Astra. Moreover, using battery-free sensors that do not require maintenance can also represent low investments for their implementation. The latest wearable technologies add multiple functionalities at a low cost, optimizing physical space and teams. Products that use information technology tools focused on risk assessment can also be low-cost, providing an effective and low-value intervention. Simple ideas, without using state-of-the-art technologies for fall prevention, are low-cost solutions that can be implemented in regions with financial constraints.(1212. Teh RC, Wilson A, Ranasinghe D, Visvanathan R. Use and clinical efficacy of standard and health information technology fall risk assessment tools. Australas J Ageing. 2017;36(4):327–31.

13. Wickramasinghe A, Ranasinghe DC, Fumeaux C, Hill KD, Visvanathan R. sequence learning with passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People. IEEE J Biomed Health Inform. 2017;21(4):917–29.
-1414. Razjouyan J, Grewal GS, Rishel C, Parthasarathy S, Mohler J, Najafi B. Activity Monitoring and Heart Rate Variability as Indicators of Fall Risk: Proof-of-Concept for Application of Wearable Sensors in the Acute Care Setting. J Gerontol Nurs. 2017;43(7):53–62.,2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.,2222. Nuñez Filha MC, Pinto EB, Leite HJ. Desenvolvimento de um aplicativo para identificação do risco de quedas em idosos. Rev Pesq Fisio. 2018;8(3):354-60.,2424. Sun R, Aldunate RG, Paramathayalan VR, Ratnam R, Jain S, Morrow DG, et al. Preliminary evaluation of a self-guided fall risk assessment tool for older adults. Arch Gerontol Geriatr. 2019;82:94–9.,2727. Jähne-Raden N, Kulau U, Marschollek M, Wolf KH. INBED: a Highly Specialized System for Bed-Exit-Detection and Fall Prevention on a Geriatric Ward. Sensors (Basel). 2019;19(5):1017.,2828. Jähne-Raden N, Gütschleg H, Wolf MC, Kulau U, Wolf KH. Wireless sensor network for fall prevention on geriatric wards: a report. stud health Technol Inform. 2019;264:620–4.) On the other hand, it is observed that some of the devices analyzed were not effective in reducing costs, since their implementation requires expensive investments or they are still not capable of reducing incidence of falls in hospital environments. Other studies reinforce the need for additional research to verify the cost-effectiveness of using their system.(1515. Balaguera HU, Wise D, Ng CY, Tso HW, Chiang WL, Hutchinson AM, et al. Using a medical intranet of things system to prevent bed falls in an acute care Hospital: a pilot study. J Med Internet Res. 2017;19(5):e150.,1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.,2323. Baker PA, Roderick MW, Baker CJ. PUP® (Patient Is Up) Smart Sock Technology Prevents Falls Among Hospital Patients With High Fall Risk in a Clinical Trial and Observational Study. J Gerontol Nurs. 2021;47(10):37-43.,2929. Timmons S, Vezyridis P, Sahota O. Trialling technologies to reduce hospital in-patient falls: an agential realist analysis. Sociol Health Illn. 2019;41(6):1104–19.,3030. Seow JP, Chua TL, Aloweni F, Lim SH, Ang SY. Effectiveness of an integrated three-mode bed exit alarm system in reducing inpatient falls within an acute care setting. Jpn J Nurs Sci. 2022;19(1):e12446.,3838. Lima SG, Brito C, Andrade CJ. O processo de incorporação de tecnologias em saúde no Brasil em uma perspectiva internacional. Cien Saude Colet. 2019;24(5):1709–22.)Using health innovations has an impact on reducing mortality, especially when it comes to elderly patients and disabling diseases, reinforcing the fact that the internet of things can act directly to reduce care costs. However, a rigorous assessment process for the incorporation of technologies will certainly result in better clinical benefits for patients and budgetary benefits for healthcare institutions.(4242. Sadoughi F, Behmanesh A, Sayfouri N. Internet of things in medicine: a systematic mapping study. J Biomedical Informatics. 2020;103:103383.,4343. Avelar AF, Santos LM. Technological innovation in health: back to origins [editorial]. Rev Bras Enferm. 2021;74(Suppl 5):e74Suppl501.)

Patient privacy

Although the strategies that use imaging technologies allow for great advances in fall prevention, legal restrictions and difficulties of acceptance by patients are pointed out due to the feeling of exposure of their intimacy. On the other hand, there are reports that they may be less intrusive than caregivers, and may lead to less patient agitation.(1818. Potter P, Allen K, Costantinou E, Klinkenberg WD, Malen J, Norris T, et al. Evaluation of sensor technology to detect fall risk and prevent falls in acute care. Jt Comm J Qual Patient Saf. 2017;43(8):414–21.,1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.,2525. Hebb A, Kistler M, George E, Zamboni B. Satisfaction and technology acceptance of staff regarding use of continuous video monitoring in comparison with sitters. J Nurs Adm. 2021;51(2):60–2.) Some of the devices, such as sensors, although considered less invasive, may be resistant to their implementation, since older patients consider discretion as a key acceptance criterion, which can be seen as an obstacle to the transposition of technology into practice.(1313. Wickramasinghe A, Ranasinghe DC, Fumeaux C, Hill KD, Visvanathan R. sequence learning with passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People. IEEE J Biomed Health Inform. 2017;21(4):917–29.,2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.,2727. Jähne-Raden N, Kulau U, Marschollek M, Wolf KH. INBED: a Highly Specialized System for Bed-Exit-Detection and Fall Prevention on a Geriatric Ward. Sensors (Basel). 2019;19(5):1017.,2828. Jähne-Raden N, Gütschleg H, Wolf MC, Kulau U, Wolf KH. Wireless sensor network for fall prevention on geriatric wards: a report. stud health Technol Inform. 2019;264:620–4.)The adoption of mechanized technologies can offer solutions for environments that require greater privacy, such as toilets, eliminating the need to capture images and movements or even the monitoring of caregivers.(1818. Potter P, Allen K, Costantinou E, Klinkenberg WD, Malen J, Norris T, et al. Evaluation of sensor technology to detect fall risk and prevent falls in acute care. Jt Comm J Qual Patient Saf. 2017;43(8):414–21.,2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.) Despite the benefits arising from using health technology, it is necessary, for its implementation, to carry out previous regulatory studies and also to take into account the ethical issues related to health users, who have the right to privacy, comfort and confidentiality of all and any personal information, even if little known by patients.(3838. Lima SG, Brito C, Andrade CJ. O processo de incorporação de tecnologias em saúde no Brasil em uma perspectiva internacional. Cien Saude Colet. 2019;24(5):1709–22.,4444. Brasil. Ministério da Saúde. Conselho Nacional de Saúde. Carta dos direitos dos usuários da saúde. Brasília (DF): Ministério da Saúde; 2012 [citado 2022 Set 20]. Disponível em: http://bit.ly/2bZcyXd.
http://bit.ly/2bZcyXd...
,4545. Silva DN, Araújo JL, Silva RT, Nascimento EG. Privacidade e confidencialidade de usuários em um hospital geral. Rev Bioet. 2017;25(3):585–95.)

Nursing professionals’ relevance in device development, assessment and use

The predominance of studies in journals specialized in nursing highlights professionals’ relevance in preventing this type of incident, through measures such as risk assessment, planning and providing individualized care, in the educational process and in carrying out intentional rounds in the rooms.(1717. Opsahl AG, Ebright P, Cangany M, Lowder M, Scott D, Shaner T. Outcomes of adding patient and family engagement education to fall prevention bundled interventions. J Nurs Care Qual. 2017;32(3):252–8.,2020. Yokota S, Tomotaki A, Mohri O, Endo M, Ohe K. Evaluating the effectiveness of a fall risk screening tool implemented in an electronic medical record system. J Nurs Care Qual. 2018;33(4):E1–6.

21. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.
-2222. Nuñez Filha MC, Pinto EB, Leite HJ. Desenvolvimento de um aplicativo para identificação do risco de quedas em idosos. Rev Pesq Fisio. 2018;8(3):354-60.,2525. Hebb A, Kistler M, George E, Zamboni B. Satisfaction and technology acceptance of staff regarding use of continuous video monitoring in comparison with sitters. J Nurs Adm. 2021;51(2):60–2.,2828. Jähne-Raden N, Gütschleg H, Wolf MC, Kulau U, Wolf KH. Wireless sensor network for fall prevention on geriatric wards: a report. stud health Technol Inform. 2019;264:620–4.,3030. Seow JP, Chua TL, Aloweni F, Lim SH, Ang SY. Effectiveness of an integrated three-mode bed exit alarm system in reducing inpatient falls within an acute care setting. Jpn J Nurs Sci. 2022;19(1):e12446.,4646. Sena AC, Alvarez AM, Nunes SF, Costa NP. Nursing care related to fall prevention among hospitalized elderly people: an integrative review. Rev Bras Enferm. 2021;74(74 Suppl 2):e20200904. Review.)In several cases, the nursing staff considers it useful to use alerts and systems that are adequate and integrated into the workflow, revealing the acceptability of these technological devices. However, there is a need for the team to be involved in implementation of new technologies as well as investigation of professionals’ satisfaction, aiming at better product acceptance.(1515. Balaguera HU, Wise D, Ng CY, Tso HW, Chiang WL, Hutchinson AM, et al. Using a medical intranet of things system to prevent bed falls in an acute care Hospital: a pilot study. J Med Internet Res. 2017;19(5):e150.,1919. Cournan M, Fusco-Gessick B, Wright L. Improving patient safety through video monitoring. Rehabil Nurs. 2018;43(2):111–5.,2525. Hebb A, Kistler M, George E, Zamboni B. Satisfaction and technology acceptance of staff regarding use of continuous video monitoring in comparison with sitters. J Nurs Adm. 2021;51(2):60–2.,4747. Souza CJ, Silvino ZR, Souza DF. Analysis of patent registries in Brazilian nursing and its relationship with the professional master’s degree. Rev Gaucha Enferm. 2020;41:e20190358.

48. Colichi RM, Lima SG, Bonini AB, Lima SA. Entrepreneurship and Nursing: integrative review. Rev Bras Enferm. 2019;72(Suppl 1):321–30. Review.
-4949. Giuliano KK. Challenging precedent: critical care nursing and medical product innovation. Am J Crit Care. 2020;29(4):253–61.)Brazilian nursing has been advancing scientifically in the field of technology, appropriating innovative resources and strengthening care practice, education and health management, despite the scarcity when compared to the international context.(5050. Lima CS, Barbosa SF. Aplicativos móveis em saúde: caracterização da produção científica da enfermagem brasileira. Rev Eletr Enferm. 2019;21:53278.) In this sense, using technology can become capable of improving nursing staff workload, optimizing care time and allowing professionals to carry out other activities while patients are “protected” by the device, such as the Safe Embrace.(2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.,2727. Jähne-Raden N, Kulau U, Marschollek M, Wolf KH. INBED: a Highly Specialized System for Bed-Exit-Detection and Fall Prevention on a Geriatric Ward. Sensors (Basel). 2019;19(5):1017.,4141. Loures FB, Chaoubah A, Oliveira VM, Almeida AM, Campos EM, Paiva EP. Análise econômica do tratamento cirúrgico de fratura do quadril em idosos. Rev Saude Publica. 2015;49:12.)However, the team may be dissatisfied with resulting problems, such as the inadequate number of professionals to respond to the alarms, forgetting the beep at the nursing station and the hierarchy of priorities when they are activated, since they could often be treating another patient, which would make it impossible to go to the place where the alarm was triggered. In addition to this, it is worth noting that when the institution chooses to use a sound device, the effects of alarm fatigue must be taken into account, which may result in a delay in care or a reduction in the response rate due to excessive exposure to alerts.(2323. Baker PA, Roderick MW, Baker CJ. PUP® (Patient Is Up) Smart Sock Technology Prevents Falls Among Hospital Patients With High Fall Risk in a Clinical Trial and Observational Study. J Gerontol Nurs. 2021;47(10):37-43.,2929. Timmons S, Vezyridis P, Sahota O. Trialling technologies to reduce hospital in-patient falls: an agential realist analysis. Sociol Health Illn. 2019;41(6):1104–19.,3030. Seow JP, Chua TL, Aloweni F, Lim SH, Ang SY. Effectiveness of an integrated three-mode bed exit alarm system in reducing inpatient falls within an acute care setting. Jpn J Nurs Sci. 2022;19(1):e12446.,5151. Oliveira AE, Machado AB, Santos ED, Almeida EB. Alarm fatigue and the implications for patient safety. Rev Bras Enferm. 2018;71(6):3035–40.)Using monitoring systems can bring interesting benefits by allowing the review of fall videos, enabling the nursing staff to establish individual intervention plans for patients who need more effective interventions, taking into account the reasons for the incidents, since bundles may not include appropriate care measures for all patients.(1818. Potter P, Allen K, Costantinou E, Klinkenberg WD, Malen J, Norris T, et al. Evaluation of sensor technology to detect fall risk and prevent falls in acute care. Jt Comm J Qual Patient Saf. 2017;43(8):414–21.) Meetings of care teams to analyze adverse events can become promising for detecting demands and designing or adapting products aimed at fall prevention. It is important for professionals from different areas to participate, such as clinical engineering, architecture, information technology, hospitality, property security, among others, as they can collaborate with complementary ideas and concepts, seeking viable alternatives for developing new solutions.(2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.,5252. Teixeira TC, Cassiani SH. Root cause analysis of falling acidentes and medication errors in hospital. Acta Paul Enferm. 2014;27(2):100–7.)The care staff partnership remains a fundamental point for the development of effective tools that are applicable in practice.(1212. Teh RC, Wilson A, Ranasinghe D, Visvanathan R. Use and clinical efficacy of standard and health information technology fall risk assessment tools. Australas J Ageing. 2017;36(4):327–31.,3535. Brasil. Ministério da Saúde. Agência Nacional de Vigilância Sanitária (ANVISA). Fundação Oswaldo Cruz (FIOCRUZ). Protocolo prevenção de quedas. Brasília (DF): Ministério da Saúde; Anvisa; Fiocruz; 2013 [citado2022 Set 20]. Disponível em: www.saude.mt.gov.br/upload/controle.../protocolos_cp_n6_2013_prevencao.pdf
www.saude.mt.gov.br/upload/controle.../p...
) Despite its relevance, nursing still plays a discreet role in product innovation. Nurses should be encouraged in the development of materials, equipment and services, with due registration in the patent system. In this sense, teaching entrepreneurship appropriate to this new professional context must be incorporated into the undergraduate nursing course curriculum, further encouraging students to seek assistance at technology transfer centers for patent registration and technological innovations present in several universities.(2121. Niwa LM, Radovich NM, Ciosak SI. Safe Embrace: technological innovation for elderly safety in the use of toilets. Rev Bras Enferm. 2018;71(Suppl 6):2833-6. Erratum in: Rev Bras Enferm. 2021;74(3):e2021n3e07.,4747. Souza CJ, Silvino ZR, Souza DF. Analysis of patent registries in Brazilian nursing and its relationship with the professional master’s degree. Rev Gaucha Enferm. 2020;41:e20190358.,4848. Colichi RM, Lima SG, Bonini AB, Lima SA. Entrepreneurship and Nursing: integrative review. Rev Bras Enferm. 2019;72(Suppl 1):321–30. Review.,5353. Souza LE. Health, development and innovation: a contribution of the critical theory of technology to the discussion. Cad Saude Publica. 2016;32(32 Suppl 2):e00029615.)

Since this is an integrative review, some study that did not meet the inclusion criteria, as well as implemented strategies, but described in other forms of publication, despite the adoption of strict criteria for the literature survey, may have been disregarded. Another limitation refers to the scarcity of articles that answered the guiding question of this study, since most researches tend to investigate devices that aim to signal the moment of the incident, after its occurrence. The study suggests that further research in the area be carried out, seeking solutions capable of helping to prevent falls. We provide nursing professionals with information about the technological strategies developed and their possible applicability. Data on costs and privacy act as additional information to assist in the decision-making process about the most suitable resources. It is also expected to bring reflections and inspirations for the creation and improvement of health technologies so that they meet the market’s predispositions, requiring less and less human dependence on processes aimed at the prevention of adverse events, allowing the care staff to be focused on the planning and delivery of individualized care based on quality and patient safety.

Conclusion

The research identified several technological strategies that can be applied to prevent falls among adults in a hospital environment, in addition to bringing reflections on measures applied to prevent falls, revealing a range of resources developed and available on the market, which can be incorporated into care practices composing institutional policies. Among the technological strategies, those related to the educational process, information technology programs/tools, wearable and environmental devices stand out. Studies show that some devices can reduce expenses with care, or those resulting from falls in hospital environments. However, attention should be paid to patient, family and team privacy issues, in addition to restrictions and legal aspects. It is up to hospitals to define which strategy is most appropriately applied to their reality, taking into account the budget available for investment, public served, number of nursing staff, sector where it will be implemented, availability for training the team before the start of use, epidemiological profile of patients, among others. It becomes relevant to broaden the discussions for the formulation of programs and institutional policies for fall prevention, composed of technological strategies and differentiated interventions aimed at patient safety, going beyond the practice of isolated actions in hospital environments. Moreover, nursing staff should be encouraged to participate in the development of materials, equipment and services, revealing the importance of their role through scientific dissemination and patent registration.

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Edited by

Associate Editor (Peer review process): Ana Lucia de Moraes Horta (https://orcid.org/0000-0001-5643-3321) Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, SP, Brazil

Publication Dates

  • Publication in this collection
    08 May 2023
  • Date of issue
    2023

History

  • Received
    25 July 2022
  • Accepted
    24 Oct 2022
Escola Paulista de Enfermagem, Universidade Federal de São Paulo R. Napoleão de Barros, 754, 04024-002 São Paulo - SP/Brasil, Tel./Fax: (55 11) 5576 4430 - São Paulo - SP - Brazil
E-mail: actapaulista@unifesp.br