Publication:

Expectations and Perceptions of Healthcare Professionals for Robot Deployment in Hospital Environments During the COVID-19 Pandemic

Aarts, J. (2004). IT in health care: sociotechnical approaches “To Err is System”. Int. J. Med. Inform. 76, 6–8. doi: 10.1016/S1386-5056(07)00078-0

Achenbach, S. J. (2020). Telemedicine: benefits, challenges, and its great potential. Health Law Policy Brief 14:1. Available online at: https://digitalcommons.wcl. american.edu/hlp/vol14/iss1/

Alaiad, A., and Zhou, L. (2014). The determinants of home healthcare robots adoption: an empirical investigation. Int. J. Med. Inform. 83, 825–840. doi: 10.1016/j.ijmedinf.2014.07.003

Andersen, B. M., Rasch, M., Hochlin, K., Jensen, F. H., Wismar, P., and Fredriksen, J. E. (2006). Decontamination of rooms, medical equipment and ambulances using an aerosol of hydrogen peroxide disinfectant. J. Hosp. Infect. 62, 149–155. doi: 10.1016/j.jhin.2005.07.020

Aymerich-Franch, L. (2020). Why it is time to stop ostracizing social robots. Nat. Mach. Intell. 2:364. doi: 10.1038/s42256-020-0202-5

Barroy, H., Wang, D., Pescetto, C., and Kutzin, J. (2020). How to Budget for COVID-19 Response? A Rapid Scan of Budgetary Mechanisms in Highly Affected Countries. Health Systems Governance and Financing & COVID-19. Available online at: https://www.who.int/publications/m/item/how-tobudget-for-covid19-response

Betriana, F., Tanioka, T., Locsin, R., Malini, H., and Lenggogeni, D. P. (2020). Are indonesian nurses ready for healthcare robots during the covid-19 pandemic? Belit. Nurs. J. 6, 63–66. doi: 10.33546/bnj.1114

Bettinelli, M., Lei, Y., Beane, M., Mackey, C., and Liesching, T. N. (2015). Does robotic telerounding enhance nurse-physician collaboration satisfaction about care decisions? Telemed. e-Health 21, 637–643. doi: 10.1089/tmj.2014.0162

Blair, R. C., and Higgins, J. J. (1980). A comparison of the power of Wilcoxon’s rank-sum statistic to that of student’s t statistic under various nonnormal distributions. J. Educ. Stat. 5:309. doi: 10.2307/1164905

Bloss, R. (2011). Mobile hospital robots cure numerous logistic needs. Ind. Robot 38, 567–571. doi: 10.1108/01439911111179075

Boston Dynamics (2020). Boston Dynamics COVID-19 Response. Available online at: https://www.bostondynamics.com/resources/COVID-19

Boyce, J. M. (2016). Modern technologies for improving cleaning and disinfection of environmental surfaces in hospitals. Antimicrob. Resist. Infect. Control 5, 1–10. doi: 10.1186/s13756-016-0111-x

Brohi, S. N., Jhanjhi, N., Brohi, N. N., and Brohi, M. N. (2020). Key Applications of State-of-the-Art Technologies to Mitigate and Eliminate Covid19. doi: 10.36227/techrxiv.12115596

Center for Disease Control and Prevention (2020). Reopening Guidance for Cleaning and Disinfecting Public Spaces, Workplaces, Businesses, Schools, and Homes. Available online at: https://stacks.cdc.gov/view/cdc/87297

Chatterjee, S., and Kagwe, M. (2020). “Health workers are the frontline soldiers against Covid-19. Let’s protect them | Africa renewal,” in Africa Renewal–Special Edition on COVID-19 (New York, NY), 1.

Coombs, C. (2020). Will COVID-19 be the tipping point for the intelligent automation of work? A review of the debate and implications for research. Int. J. Inform. Manage. 55:102182. doi: 10.1016/j.ijinfomgt.2020.102182

Couto, B. R. G. M., Alvim, A. L. S., da Silva, I. L. A., Horta, M. M. B., da Cunha Júnior, J. J., and Starling, C. E. F. (2017). “Using ozires, a humanoid robot, to continuing education of healthcare workers: a pilot study,” in CSEDU (Vila Nova de Gaia), 293–299.

Cremer, S., Doelling, K., Lundberg, C. L., McNair, M., Shin, J., and Popa, D. (2016). “Application requirements for robotic nursing assistants in hospital environments,” in Sensors for Next-Generation Robotics III, Vol. 9859 (Baltimore, MD: International Society for Optics and Photonics), 98590E. doi: 10.1117/12.2229241

Cresswell, K., Cunningham-Burley, S., and Sheikh, A. (2018). Health care robotics: qualitative exploration of key challenges and future directions. J. Med. Internet Res. 20:e10410. doi: 10.2196/10410

Dao, N., Hai, X., Huu, L., Nam, T., and Thinh, N. T. (2019). “Remote healthcare for the elderly, patients by tele-presence robot,” in 2019 International Conference on System Science and Engineering (ICSSE) (Dong Hoi: IEEE), 506–510.

Demaitre, E. (2020). Coronavirus Response Growing From Robotics Companies. Available online at: https://www.therobotreport.com/coronavirusresponsegrowing-robotics-companies/

Dobrev, Y., Gulden, P., and Vossiek, M. (2018). An indoor positioning system based on wireless range and angle measurements assisted by multi-modal sensor fusion for service robot applications. IEEE Access 6, 69036–69052. doi: 10.1109/ACCESS.2018.2879029

Douglas, M., Katikireddi, S. V., Taulbut, M., McKee, M., and McCartney, G. (2020). Mitigating the wider health effects of covid-19 pandemic response. BMJ 369:m1557. doi: 10.1136/bmj.m1557

EuRobotics (2020). 10 Ways Robots Fight Against the COVID-19 Pandemic. Available online at: https://www.eurobotics.net/eurobotics/newsroom/press/ robotsagainst-covid-19.html?changelang=1

Favero, C. A., Ichino, A., and Rustichini, A. (2020). Restarting the economy while saving lives under COVID-19. SSRN Electron. J. 1–5. doi: 10.2139/ssrn.3580626 Feil-Seifer, D., Haring, K. S., Rossi, S., Wagner, A. R., and Williams, T. (2020)

Where to next? The impact of COVID-19 on human-robot interaction research. ACM Trans. Hum. Robot Interact. 10, 1–7. doi: 10.1145/3405450

Ferdous, M. Z., Islam, M. S., Sikder, M. T., Mosaddek, A. S. M., Zegarra-Valdivia, J. A., and Gozal, D. (2020). Knowledge, attitude, and practice regarding COVID19 outbreak in Bangladesh: an online-based cross-sectional study. PLoS ONE 15:e0239254. doi: 10.1371/journal.pone.0239254

Forbes Staff (2020). El Sena presenta un robot para atender pacientes contagiados de coronavirus–Forbes Colombia. Forbes Colombia Magazine.

Garingo, A., Friedlich, P., Chavez, T., Tesoriero, L., Patil, S., Jackson, P., et al. (2016). “Tele-rounding” with a remotely controlled mobile robot in the neonatal intensive care unit. J. Telemed. Telec. 22, 132–138. doi: 10.1177/1357633X15589478

Goh, P. S., and Sandars, J. (2020). A vision of the use of technology in medical education after the COVID-19 pandemic. MedEdPublish 9, 1–8. doi: 10.15694/mep.2020.000049.1

Government of Canada (2020). COVID-19 Pandemic Guidance for the Health Care Sector. Available online at: https://www.canada.ca/en/publichealth/services/ diseases/2019-novel-coronavirusinfection/health-professionals/covid-19- pandemicguidance-health-care-sector.html

Greenhalgh, T., Wherton, J., Papoutsi, C., Lynch, J., Hughes, G., A’Court, C., et al. (2017). 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. 19:e367. doi: 10.2196/jmir.8775

Guerra, J., Fabian, Y., and Gamba, S. (2020). Dise˜no de brazo robótico remoto para reducir crisis en el campo médico promoviendo el distanciamiento social en el marco de la contingencia sanitaria del COVID-19. Universidad Santo Tomás. doi: 10.15332/dt.inv.2020.01258

Hebesberger, D., Koertner, T., Gisinger, C., and Pripfl, J. (2017). A long-term autonomous robot at a care hospital: a mixed methods study on social acceptance and experiences of staff and older adults. Int. J. Soc. Robot. 9, 417–429. doi: 10.1007/s12369-016-0391-6

Hjelm, N. (2005). Benefits and drawbacks of telemedicine. J. Telemed. Telec. 11, 60–70. doi: 10.1258/1357633053499886

Hu, J., Edsinger, A., Lim, Y. J., Donaldson, N., Solano, M., Solochek, A., et al. (2011). “An advanced medical robotic system augmenting healthcare capabilities-robotic nursing assistant,” in 2011 IEEE International Conference on Robotics and Automation (Shanghai: IEEE), 6264–6269. doi: 10.1109/ICRA.2011.5980213

IFRC Turkish Red Crescent (2020). Knowledge, Attitudes and Practices (KAP) Assessment on COVID-19–Community Based Migration Programme, September 2020 [EN/TR]–Turkey | ReliefWeb. Available online at: https://reliefweb.int/ report/turkey/knowledgeattitudes-and-practices-kap-assessment-covid-19- community-based-migration

Ilias, B., Nagarajan, R., Murugappan, M., Helmy, K., Awang Omar, A. S., and Abdul Rahman, M. A. (2014). Hospital nurse following robot: hardware development and sensor integration. Int. J. Med. Eng. Inform. 6, 1–13. doi: 10.1504/IJMEI.2014.058521

Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., and Vaish, A. (2020). Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabet. Metab. Syndr. Clin. Res. Rev. 14, 419–422. doi: 10.1016/j.dsx.2020.04.032

Joost, C. F., and Dodou, D. (2010). Five-Point Likert Items: t-test versus Mann-Whitney-Wilcoxon. Pract. Assess. Res. Eval. 15, 1–16. doi: 10.7275/bj1 p-ts64

Khan, Z. H., Siddique, A., and Lee, C. W. (2020). Robotics utilization for healthcare digitization in global covid-19 management. Int. J. Environ. Res. Public Health 17:3819. doi: 10.3390/ijerph17113819

Kirschling, T. E., Rough, S. S., and Ludwig, B. C. (2009). Determining the feasibility of robotic courier medication delivery in a hospital setting. Am. J. Health Syst. Pharm. 66, 1754–1762. doi: 10.2146/ajhp080184

Kovach, C. R., Taneli, Y., Neiman, T., Dyer, E. M., Arzaga, A. J. A., and Kelber, S. T. (2017). Evaluation of an ultraviolet room disinfection protocol to decrease nursing home microbial burden, infection and hospitalization rates. BMC Infect. Dis. 17:186. doi: 10.1186/s12879-017- 2275-2

Krägeloh, C. U., Bharatharaj, J., Sasthan Kutty, S. K., Nirmala, P. R., and Huang, L. (2019). Questionnaires to measure acceptability of social robots: a critical review. Robotics 8:88. doi: 10.3390/robotics8040088

Kramer, A., Schwebke, I., and Kampf, G. (2006). How long do nosocomial pathogens persist on inanimate surfaces? A systematic review. BMC Infect. Dis. 6:130. doi: 10.1186/1471-2334-6-130

Macdonald, E. B. R. S. B. (2009). Acceptance of healthcare robots for the older population: review and future directions. Int. J. Soc. Robot. 1, 319–330. doi: 10.1007/s12369-009-0030-6

Mahdy, L. N., Ezzat, K. A., and Hassanien, A. E. (2018). “Integrated multisensor monitoring robot for inpatient rooms in hospital environment,” in International Conference on Advanced Intelligent Systems and Informatics (Cairo: Springer), 117–126. doi: 10.1007/978-3-319-99010-1_11

Marra, A. R., Schweizer, M. L., and Edmond, M. B. (2018). No-touch disinfection methods to decrease multidrug-resistant organism infections: a systematic review and meta-analysis. Infect. Control Hosp. Epidemiol. 39, 20–31. doi: 10.1017/ice.2017.226

Maxon Motors Inc. (2020). COVID-19: Drive Technology and Physical Distancing. Available online at: https://drive.tech/en/streamcontent/covid-19-drivetechnology-and-physicaldistancing

McGinn, C., Bourke, E., Murtagh, A., Donovan, C., Lynch, P., Cullinan, M. F., et al. (2020). Meet stevie: a socially assistive robot developed through application of a “design-thinking” approach. J. Intell. Robot. Syst. 98, 39–58. doi: 10.1007/s10846-019-01051-9

Meisenzahl, M. (2020). Softbank-Backed Delivery Startup Rappi Is Testing Out Robots for Contactless Delivery—Take a Look. Available online at: https://www. businessinsider.com/delivery-startupusing-robots-in-colombia-to-avoidcoronavirus-2020-4

Miner, H., Fatehi, A., Ring, D., and Reichenberg, J. S. (2020). Clinician telemedicine perceptions during the covid-19 pandemic. Telemed. e-Health. 1–48. doi: 10.1089/tmj.2020.0295

Murray, C., Ortiz, E., and Kubin, C. (2014). Application of a robot for critical care rounding in small rural hospitals. Crit. Care Nurs. Clin. 26, 477–485. doi: 10.1016/j.ccell.2014.08.006

Nayak, J., Balas, V. E., Favorskaya, M. N., Choudhury, B. B., Rao, S. K. M., and Naik, B. (Eds.). (2020). Applications of Robotics in Industry Using Advanced Mechanisms, Volume 5 of Learning and Analytics in Intelligent Systems. Cham: Springer International Publishing. doi: 10.1007/978-3-030-30271-9

Otter, J., Yezli, S., Perl, T., Barbut, F., and French, G. (2014). “A guide to notouch automated room disinfection (NTD) systems,” in Decontamination in Hospitals and Healthcare (Elsevier), 413–460. doi: 10.1533/9780857096692. 2.413

Otter, J. A., Yezli, S., Perl, T. M., Barbut, F., and French, G. L. (2013). The role of ‘no-touch’ automated room disinfection systems in infection prevention and control. J. Hosp. Infect. 83, 1–13. doi: 10.1016/j.jhin.2012.10.002

Pandey, A. K., and Gelin, R. (2018). A mass-produced sociable humanoid robot: pepper: the first machine of its kind. IEEE Robot. Autom. Mag. 25, 40–48. doi: 10.1109/MRA.2018.2833157

Petelin, J., Nelson, M., and Goodman, J. (2007). Deployment and early experience with remote-presence patient care in a community hospital. Surg. Endosc. 21, 53–56. doi: 10.1007/s00464-005-0261-z

Podpora, M., Gardecki, A., Beniak, R., Klin, B., Vicario, J. L., and KawalaSterniuk, A. (2020). Human interaction smart subsystem—extending speechbased human-robot interaction systems with an implementation of external smart sensors. Sensors 20:2376. doi: 10.3390/s20082376

REACH (2020). COVID-19 Knowledge, Attitudes and Practices (KAP) Survey: Northwest Syria–August–September 2020 (Round 4)–Syrian Arab Republic | ReliefWeb. Available online at: https://reliefweb.int/report/syrian-arabrepublic/ covid-19-knowledge-attitudes-and-practiceskap-survey-northwest-syria-4

Riek, L. D. (2017). Healthcare robotics. Communications of the ACM 60, 68–78. doi: 10.1145/3127874

Rincon, F., Vibbert, M., Childs, V., Fry, R., Caliguri, D., Urtecho, J., et al. (2012). Implementation of a model of robotic tele-presence (RTP) in the neuro-ICU: effect on critical care nursing team satisfaction. Neurocrit. Care 17, 97–101. doi: 10.1007/s12028-012-9712-2

Robotnik (2020). The Importance of Collaborative Robotics in the Fight Against COVID-19. Available online at: https://robotnik.eu/collaborative-roboticsinthe-fight-against-covid-19/

San-Juan, D., Ramos, C., Ximenez, C., Cruz-Reyes, L., Aguirre, E., Ramos, G., et al. (2020). Guía para la realización de estudios de neurofisiología clínica durante la pandemia de COVID-19. Available online at: https://www.acmfr.org/ blog/comunicados/guia-parala-realizacion-de-estudios-de-neurofisiologiaclinicadurante-la

SENA (2020). Investigadores e instructores del Sena crearon robot que ayuda al personal médico en la atención de pacientes con Covid-19. Available online at: https://id.presidencia.gov.co/Paginas/prensa/2020/Investigadoresinstructores-Sena-crearon-robot-que-ayudaal-personal-medico-en-laatencion-de-pacientes-concovid-19-200430.aspx#:~:text=Investigadores%20e %20instructores%20del%20Centro,familia%20y%20personal%20de%20salud

Sermeus, W. (2016). “Robotic assistance in medication management: development and evaluation of a prototype,” in Nursing Informatics (New York, NY), 422.

Shinohara, K. (2012). “A new approach for the design of assistive technologies,” in ACM SIGACCESS Accessibility and Computing (New York, NY), 45–48. doi: 10.1145/2140446.2140456

Siciliano, B., and Khatib, O. (Eds.). (2016). Springer Handbook of Robotics, 2nd Edn. Cham: Springer International Publishing.

Smith, A. C., Coulthard, M., Clark, R., Armfield, N., Taylor, S., Goff, R., et al. (2005).

Wireless telemedicine for the delivery of specialist paediatric services to the bedside. J. Telemed. Telec. 11, 81–85. doi: 10.1258/135763305775124669

SoftBank Robotics (2020). COVID-19: Our Response and Actions. Available onine at: https://www.softbankrobotics.com/emea/en/covid-19-our-responseand-actions

Stock, R. M., and Merkle, M. (2018). “Can humanoid service robots perform better than service employees? A comparison of innovative behavior cues,” in Proceedings of the 51st Hawaii International Conference on System Sciences (Waikoloa Village, HI), 1056–1065. doi: 10.24251/HICSS.2018.133

Sucher, J. F., Todd, S. R., Jones, S. L., Throckmorton, T., Turner, K. L., and Moore, F. A. (2011). Robotic telepresence: a helpful adjunct that is viewed favorably by critically ill surgical patients. Am. J. Surg. 202, 843–847. doi: 10.1016/j.amjsurg.2011.08.001

Takahashi, M., Moriguchi, T., Tanaka, S., Namikawa, H., Shitamoto, H., Nakano, T., et al. (2012). Development of a mobile robot for transport application in hospital. J. Robot. Mechatron. 24, 1046–1053. doi: 10.20965/jrm.2012.p1046

Takahashi, M., Suzuki, T., Shitamoto, H., Moriguchi, T., and Yoshida, K. (2010). Developing a mobile robot for transport applications in the hospital domain. Robot. Auton. Syst. 58, 889–899. doi: 10.1016/j.robot.2010.03.010

Tavakoli, M., Carriere, J., and Torabi, A. (2020). Robotics, smart wearable technologies, and autonomous intelligent systems for healthcare during the COVID–19 pandemic: an analysis of the state of the art and future vision. Adv. Intell. Syst. 2:2000071. doi: 10.1002/aisy.202000071

The World Bank (2020). World Bank Group and COVID-19 (Coronavirus). Available online at: https://www.worldbank.org/en/who-weare/news/ coronavirus-covid19

Tonin, L., Carlson, T., Leeb, R., and Millán, J. R. (2011). “Brain-controlled telepresence robot by motor-disabled people,” in 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Boston, MA: IEEE), 4227–4230. doi: 10.1109/IEMBS.2011.6091049

United Nations Development Programme (2020). COVID-19 Pandemic: Humanity Needs Leadership and Solidarity to Defeat the Coronavirus. Available online at: https://www.undp.org/content/undp/en/home/coronavirus.html

Vasileiou, K., Barnett, J., Thorpe, S., and Young, T. (2018). Characterising and justifying sample size sufficiency in interview-based studies: systematic analysis of qualitative health research over a 15-year period. BMC Med. Res. Methodol. 18:148. doi: 10.1186/s12874-018-0594-7

Viswanathan, R., Myers, M. F., and Fanous, A. H. (2020). Support groups and individual mental health care via video conferencing for frontline clinicians during the covid-19 pandemic. Psychosomatics 61, 538–543. doi: 10.1016/j.psym.2020.06.014

Wang, J., Wei, B., Zhang, Y., and Chen, H. (2009). “Design of an autonomous mobile robot for hospital,” in 2009 IEEE International Symposium on IT in Medicine & Education, Vol. 1 (Jinan: IEEE), 1181–1186. doi: 10.1109/ITIME.2009.5236275

White, P., Marston, H. R., Shore, L., and Turner, R. (2020). Learning from COVID19: design, age-friendly technology, hacking and mental models. Emerald Open Res. 2:21. doi: 10.35241/emeraldopenres.13599.1

Wootton, R. (2001). Telemedicine. BMJ 323, 557–560. doi: 10.1136/bmj.323.7312.557

World Health Organization (2014). Knowledge, Attitudes, and Practices (KAP) Surveys During Cholera Vaccination Campaigns: Guidance for Oral Cholera Vaccine Stockpile Campaigns “Working Copy”. Technical Report June, World Health Organization.

World Health Organization (2020a). Coronavirus Disease (COVID-19) Outbreak. Available online at: http://www.euro.who.int/en/healthtopics/healthemergencies/coronavirus-covid-19

World Health Organization (2020b). Strengthening and Adjusting Public Health Measures Throughout the COVID-19 Transition Phases. Available online at: http://www.euro.who.int/en/healthtopics/health-emergencies/ coronavirus-covid-19/technical-guidance/2020/strengthening-andadjustingpublic-health-measures-throughout-thecovid-19-transition-phases.-policyconsiderations-forthe-who-european-region,-24-ap

World Health Organization (2020c). WHO Coronavirus Disease (COVID-19) Dashboard. Available online at: https://covid19.who.in

Yang, G. Z., J. Nelson, B., Murphy, R. R., Choset, H., Christensen, H., H. Collins, S., et al. (2020). Combating COVID-19—the role of robotics in managing public health and infectious diseases. Sci. Robot. 5:eabb5589. doi: 10.1126/scirobotics.abb5589

Yang, J. H., Wu, U. I., Tai, H. M., and Sheng, W. H. (2019). Effectiveness of an ultraviolet-C disinfection system for reduction of healthcareassociated pathogens. J. Microbiol. Immunol. Infect. 52, 487–493. doi: 10.1016/j.jmii.2017.08.017