Using mobile phone applications in engaging nurses for preventing healthcare-associated infections: A systematic review
,
Abstract
Background & Aim: Prevention of healthcare-associated infections targets health workers. Considering the crucial role of nurses, potential applications of mobile phone-based interventions are innovative, attractive, and easily accessible. This study synthesizes mobile applications with the involvement of nurses or nursing students in outcomes to prevent healthcare-associated infections and their implications.
Methods & Materials: Systematic review, database searches included: SCOPUS, EBSCO MEDLINE, PubMed, ProQuest, Institute of Electrical and Electronics Engineers, and SagePUb. Population involved nurses or nursing students with mobile-based interventions about healthcare-associated infectionsQuantitative design focused on publications between 2015-2021. Methodological quality applied the Cochrane and the National Heart, Lung, and Blood Institute tools. Analysis used narrative synthesis.
Results: 11 studies met inclusion criteria from 1,792. Study populations were heterogeneous. Mobile phone interventions included: short message service (18.2%), (9.1%), mobile and computer access (18.2%), and iOs/Android-based (27.3%). healthcare-associated infections prevention focused on: surgical site infections (54.5%), central line-associated bloodstream infections (9.1%), catheter-associated urinary tract infections (9.1%), antimicrobials (9.1%), knowledge, attitude, and practice towards healthcare-associated infections (18.2%). Most bias risks were moderate to high. Participants showed positive responses. All studies described problems in implementing healthcare-associated infections applications. Five studies reported estimated cost savings.
Conclusion: Using mobile phone applications has involved nurses as researchers, participants, and intervention providers to patients. The impact is promising in preventing healthcare-associated infections. Response of user is influenced by technology familiarity, which involves interactive features and problem anticipation. This review showed significant cost savings, so stakeholders and future research plans can consider it.
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2. Haque M, Sartelli M, McKimm J, Bakar MA. Health care-associated infections–an overview. Infection and Drug Resistance. 2018;11:2321-23.
3. Ehrler F, Blondon KS, Baillon-Bigotte D, Lovis C. Smartphones to Access to Patient Data in Hospital Settings: Authentication Solutions for Shared Devices. InpHealth 2017 Jan 1; 73-8.
4. Nguemeleu ET, Beogo I, Sia D, Kilpatrick K, Séguin C, Baillot A, Jabbour M, Parisien N, Robins S, Boivin S. Economic analysis of healthcare-associated infection prevention and control interventions in medical and surgical units: Systematic review using a discounting approach. Journal of Hospital Infection. 2020 Jul 8; 106(1): 134-54.
5. Fernando SA, Gray TJ, Gottlieb T. Healthcare‐acquired infections: prevention strategies. Internal Medicine Journal. 2017 Dec;47(12):1341-51.
6. Haque M, McKimm J, Sartelli M, Dhingra S, Labricciosa FM, Islam S, Jahan D, Nusrat T, Chowdhury TS, Coccolini F, Iskandar K. Strategies to prevent healthcare-associated infections: A narrative overview. Risk Management and Healthcare Policy. 2020;13:1765-80.
7. Barlam TF, Cosgrove SE, Abbo LM, MacDougall C, Schuetz AN, Septimus EJ, Srinivasan A, Dellit TH, Falck-Ytter YT, Fishman NO, Hamilton CW. Implementing an antibiotic stewardship program: guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Clinical Infectious Diseases. 2016 May 15;62(10):e51-77.
8. Elsherbeny E, Shatla M, Niazy N, Abd El hamied A, El-Masry R. Physicians’ and nurses’ adherence to standard precautions in a tertiary health care facility in the eastern province, saudi arabia. Egyptian Journal of Occupational Medicine. 2018 Jan 1;42(1):33-44.
9. Hamid HA, Mustafa MM, Al-rasheedi M, Balkhi B, Suliman N, Alshaafee W, et al. Assessment of Hospital Staff Knowledge , Attitudes and Practices (KAPS) on Activities Related to Prevention and Control of Hospital Acquired Infections. Int J Prev Treat. 2019;8(1):1–7.
10. Macdonald AS, Macduff C, Loudon D, Wan S. Evaluation of a visual tool co-developed for training hospital staff on the prevention and control of the spread of healthcare associated infections. Infect Dis Heal. 2017 Sep;22(3):105–16.
11. Ventola CL. Mobile devices and apps for health care professionals: uses and benefits. Pharmacy and Therapeutics. 2014 May;39(5):356.
12. Ehrler F, Lovis C, Blondon K. A mobile phone app for bedside nursing care: Design and development using an adapted software development life cycle model. JMIR mHealth and uHealth. 2019 Apr 11;7(4):e12551.
13. Bentvelsen RG, Holten E, Chavannes NH, Veldkamp KE. eHealth for the prevention of healthcare-associated infections: A scoping review. J Hosp Infect. 2021 Jul 1;113:96-103.
14. Byambasuren O, Beller E, Glasziou P. Current knowledge and adoption of mobile health apps among Australian general practitioners: survey study. JMIR mHealth and uHealth. 2019 Jun 10;7(6):e13199.
15. Abdulla MA, Esmaeel AM. Providing information through smart platforms: an applied study on academic libraries in Saudi universities. Journal of Education, Society and Behavioural Science. 2019 Jun 1;30(4):1-24.
16. Schnall R, Iribarren SJ. Review and analysis of existing mobile phone applications for health care–associated infection prevention. American Journal of Infection Control. 2015 Jun 1;43(6):572-6.
17. Hsu LL, Hsiang HC, Tseng YH, Huang SY, Hsieh SI. Nursing students' experiences of using a smart phone application for a physical assessment course: A qualitative study. Japan Journal of Nursing Science. 2019 Apr;16(2):115-24.
18. Ehrler F, Wipfli R, Teodoro D, Sarrey E, Walesa M, Lovis C. Challenges in the implementation of a mobile application in clinical practice: case study in the context of an application that manages the daily interventions of nurses. JMIR mHealth and uHealth. 2013 Jun 12;1(1):e2344.
19. Bentvelsen RG, Vaart R Van Der, Veldkamp KE, Chavannes NH, Breda AH, Sciences B. Systematic development of an mhealth app to prevent healthcare-associated infections by involving patients: Prticipatient. Clin eHealth. 2021;4:37-44.
20. Preferred Reporting Items for Systematic Reviews and Meta-Analyses. PRISMA Preferred Reporting Items for Systematic Reviews and Meta-Analyses [Internet]. 2021 [cited 2021 Sep 6]. Available from: http://www.prisma-statement.org/
21. Munn Z, Stern C, Aromataris E, Lockwood C, Jordan Z. What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences. BMC Medical Research Methodology. 2018 Dec;18(1):1-9.
22. Budd J, Miller BS, Manning EM, Lampos V, Zhuang M, Edelstein M, Rees G, Emery VC, Stevens MM, Keegan N, Short MJ. Digital technologies in the public-health response to COVID-19. Nature Medicine. 2020 Aug;26(8):1183-92.
23. Torres-Carrion PV, Gonzalez-Gonzalez CS, Aciar S, Rodriguez-Morales G. Methodology for systematic literature review applied to engineering and education. IEEE Glob Eng Educ Conf EDUCON. 2018 May 23;2018-April:1364-73.
24. Haddaway NR, Collins AM, Coughlin D, Kirk S. The role of Google Scholar in evidence reviews and its applicability to grey literature searching. PloS one. 2015 Sep 17;10(9):e0138237.
25. Cumpston MS, McKenzie JE, Thomas J, Brennan SE. The use of ‘PICO for synthesis’ and methods for synthesis without meta-analysis: protocol for a survey of current practice in systematic reviews of health interventions. F1000Research. 2020;9:678.
26. University of Bristol. Risk of bias tools [Internet]. 2021 [cited 2021 Sep 6]. Available from: https://www.riskofbias.info/
27. The Cochrane Collaboration. Risk of Bias 2 (RoB 2) tool | Cochrane Methods [Internet]. 2021 [cited 2021 Sep 6]. Available from: https://methods.cochrane.org/risk-bias-2
28. Villalobos-Zúñiga G, Cherubini M. Apps That Motivate: a Taxonomy of App Features Based on Self-Determination Theory. Int J Hum Comput Stud. 2020 Aug 1;140:102449.
29. University of Bristol. Risk of bias tools- robvis (visualization tool) [Internet]. 2021 [cited 2021 Sep 6]. Available from: https://www.riskofbias.info/welcome/robvis-visualization-tool
30. Jaensson M, Dahlberg K, Eriksson M, Nilsson U. Evaluation of postoperative recovery in day surgery patients using a mobile phone application: A multicentre randomized trial. Br J Anaesth. 2017;119(5):1030-8.
31. Schulz S, Santana RF, Targino C, Faleiro TB, Medeiros D, Beatriz A, et al. Telephonic nursing intervention for laparoscopic cholecystectomy and hernia repair : A randomized controlled study. BMC Nursing. 2020;1-9.
32. Rea K, Le-Jenkins U, Rutledge C. A technology intervention for nurses engaged in preventing catheter-associated urinary tract infections. CIN- Comput Informatics Nurs. 2018 Jun;36(6):305-13.
33. Saffari M, Sanaeinasab H, Masoumbeigi H, Pakpour AH, O’Garo KN, Koenig HG. An Education-Based Text Messaging Program to Improve Nurses’ Knowledge, Attitude, and Practice Related to Nosocomial Infections in Intensive Care Settings. J Contin Educ Nurs. 2019 May;50(5):211-7.
34. Pathak A, Sharma S, Sharma M, Mahadik VK, Lundborg CS. Feasibility of a mobile phone-based surveillance for surgical site infections in Rural India. Telemed e-Health. 2015;21(11):946-9.
35. Scheper H, Derogee R, Mahdad R, van der Wal RJ, Nelissen RG, Visser LG, de Boer MG. A mobile app for postoperative wound care after arthroplasty: Ease of use and perceived usefulness. International Journal of Medical Informatics. 2019 Sep 1;129:75-80.
36. Castillo E, McIsaac C, MacDougall B, Wilson D, Kohr R. Post-caesarean section surgical site infection surveillance using an online database and mobile phone technology. Journal of Obstetrics and Gynaecology Canada. 2017 Aug 1;39(8):645-51.
37. Aldaz G, Shluzas LA, Pickham D, Eris O, Sadler J, Joshi S, Leifer L. Hands-free image capture, data tagging and transfer using Google Glass: a pilot study for improved wound care management. PloS one. 2015 Apr 22;10(4):e0121179.
38. Kerbaj J, Toure Y, Aladro AS, Boudjema S, Giorgi R, Dufour JC, Brouqui P. Smartphone text message service to foster hand hygiene compliance in health care workers. American Journal of Infection Control. 2017 Mar 1;45(3):234-9.
39. Orwoll B, Diane S, Henry D, Tsang L, Chu K, Meer C, Hartman K, Roy-Burman A. Gamification and microlearning for engagement with quality improvement (GAMEQI): A bundled digital intervention for the prevention of central line–associated bloodstream infection. American Journal of Medical Quality. 2018 Jan;33(1):21-9.
40. Olaoye O, Tuck C, Khor WP, McMenamin R, Hudson L, Northall M, Panford-Quainoo E, Asima DM, Ashiru-Oredope D. Improving access to antimicrobial prescribing guidelines in 4 African countries: Development and pilot implementation of an App and cross-sectional assessment of attitudes and behaviour survey of healthcare workers and patients. Antibiotics. 2020 Sep;9(9):555.
41. Seibert K, Domhoff D, Bruch D, Schulte-Althoff M, Fürstenau D, Biessmann F, Wolf-Ostermann K. Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review. Journal of Medical Internet Research. 2021 Nov 29;23(11):e26522.
42. McBride DL, LeVasseur SA. Personal communication device use by nurses providing in-patient care: Survey of prevalence, patterns, and distraction potential. JMIR human factors. 2017 Apr 13;4(2):e5110.
43. Vehko T, Hyppönen H, Puttonen S, Kujala S, Ketola E, Tuukkanen J, Aalto AM, Heponiemi T. Experienced time pressure and stress: electronic health records usability and information technology competence play a role. BMC medical informatics and decision making. 2019 Dec;19(1):1-9.
44. Yen P-Y, Kellye M, Lopetegui M, Saha A, Loversidge J, Chipps EM, et al. Nurses’ Time Allocation and Multitasking of Nursing Activities: A Time Motion Study. AMIA Annu Symp Proc. 2018 Sep 14;2018:1137-46.
45. De Leeuw JA, Woltjer H, Kool RB. Identification of factors influencing the adoption of health information technology by nurses who are digitally lagging: in-depth interview study. Journal of Medical Internet Research. 2020;22(8):e15630.
46. De Leeuw JA, Woltjer H, Kool RB. Identification of factors influencing the adoption of health information technology by nurses who are digitally lagging: in-depth interview study. Journal of Medical Internet Research. 2020;22(8):e15630.
47. Galletta M, Portoghese I, Gonzales CI, Melis P, Marcias G, Campagna M, Minerba L, Sardu C. Lack of respect, role uncertainty and satisfaction with clinical practice among nursing students: the moderating role of supportive staff. Acta Bio Medica: Atenei Parmensis. 2017;88(Suppl 3):43-50.
48. Bazrafkan L, Najafi Kalyani M. Nursing Students' Experiences of Clinical Education: A Qualitative Study. Investigacion y Educacion En Enfermeria. 2018 Dec;36(3):e04.
49. Jun YJ, Shin D, Choi WJ, Hwang JH, Kim H, Kim TG, Lee HB, Oh TS, Shin HW, Suh HS, Lee AY. A Mobile application for wound assessment and treatment: Findings of a user trial. The international Journal of Lower Extremity Wounds. 2016 Dec;15(4):344-53.
50. Gill PS, Kamath A, Gill TS. Distraction: an assessment of smartphone usage in health care work settings. Risk management and healthcare policy. 2012;5:105-14.
51. Liu N, Yu R. Identifying design feature factors critical to acceptance and usage behavior of smartphones. Computers in Human Behavior. 2017 May 1;70:131-42.
52. Guo P, Watts K, Wharrad H. An integrative review of the impact of mobile technologies used by healthcare professionals to support education and practice. Nursing Open. 2016 Apr;3(2):66-78.
53. Dehkordi MB, Zaraki A, Setchi R. Feature extraction and feature selection in smartphone-based activity recognition. Procedia Computer Science. 2020 Jan 1;176:2655-64.
54. Lahti M, Hätönen H, Välimäki M. Impact of e-learning on nurses’ and student nurses knowledge, skills, and satisfaction: A systematic review and meta-analysis. International Journal of Nursing Studies. 2014 Jan 1;51(1):136-49.
55. Jalali MS, Kaiser JP. Cybersecurity in hospitals: A systematic, organizational perspective. Journal of Medical Internet Research. 2018 May 28;20(5):e10059.
56. Shakthivel PG, GV GS, Revathy C. Mobile phones in healthcare setting: potential threat in infection control. Int J Curr Microbiol Appl Sci. 2017;6(3):706-11.
57. Wani TA, Mendoza A, Gray K. Hospital bring-your-own-device security challenges and solutions: Systematic review of gray literature. JMIR mHealth and uHealth. 2020 Jun 18;8(6):e18175.
58. Iribarren SJ, Cato K, Falzon L, Stone PW. What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions. PloS one. 2017 Feb 2;12(2):e0170581.
59. Bergmo TS. How to measure costs and benefits of eHealth interventions: an overview of methods and frameworks. Journal of Medical Internet Research. 2015;17(11):e254.
60. Mano R. Mobile Health Apps and Health Management Behaviors: Cost-Benefit Modeling Analysis. JMIR Human Factors. 2021 Apr 22;8(2):e21251.
2. Haque M, Sartelli M, McKimm J, Bakar MA. Health care-associated infections–an overview. Infection and Drug Resistance. 2018;11:2321-23.
3. Ehrler F, Blondon KS, Baillon-Bigotte D, Lovis C. Smartphones to Access to Patient Data in Hospital Settings: Authentication Solutions for Shared Devices. InpHealth 2017 Jan 1; 73-8.
4. Nguemeleu ET, Beogo I, Sia D, Kilpatrick K, Séguin C, Baillot A, Jabbour M, Parisien N, Robins S, Boivin S. Economic analysis of healthcare-associated infection prevention and control interventions in medical and surgical units: Systematic review using a discounting approach. Journal of Hospital Infection. 2020 Jul 8; 106(1): 134-54.
5. Fernando SA, Gray TJ, Gottlieb T. Healthcare‐acquired infections: prevention strategies. Internal Medicine Journal. 2017 Dec;47(12):1341-51.
6. Haque M, McKimm J, Sartelli M, Dhingra S, Labricciosa FM, Islam S, Jahan D, Nusrat T, Chowdhury TS, Coccolini F, Iskandar K. Strategies to prevent healthcare-associated infections: A narrative overview. Risk Management and Healthcare Policy. 2020;13:1765-80.
7. Barlam TF, Cosgrove SE, Abbo LM, MacDougall C, Schuetz AN, Septimus EJ, Srinivasan A, Dellit TH, Falck-Ytter YT, Fishman NO, Hamilton CW. Implementing an antibiotic stewardship program: guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Clinical Infectious Diseases. 2016 May 15;62(10):e51-77.
8. Elsherbeny E, Shatla M, Niazy N, Abd El hamied A, El-Masry R. Physicians’ and nurses’ adherence to standard precautions in a tertiary health care facility in the eastern province, saudi arabia. Egyptian Journal of Occupational Medicine. 2018 Jan 1;42(1):33-44.
9. Hamid HA, Mustafa MM, Al-rasheedi M, Balkhi B, Suliman N, Alshaafee W, et al. Assessment of Hospital Staff Knowledge , Attitudes and Practices (KAPS) on Activities Related to Prevention and Control of Hospital Acquired Infections. Int J Prev Treat. 2019;8(1):1–7.
10. Macdonald AS, Macduff C, Loudon D, Wan S. Evaluation of a visual tool co-developed for training hospital staff on the prevention and control of the spread of healthcare associated infections. Infect Dis Heal. 2017 Sep;22(3):105–16.
11. Ventola CL. Mobile devices and apps for health care professionals: uses and benefits. Pharmacy and Therapeutics. 2014 May;39(5):356.
12. Ehrler F, Lovis C, Blondon K. A mobile phone app for bedside nursing care: Design and development using an adapted software development life cycle model. JMIR mHealth and uHealth. 2019 Apr 11;7(4):e12551.
13. Bentvelsen RG, Holten E, Chavannes NH, Veldkamp KE. eHealth for the prevention of healthcare-associated infections: A scoping review. J Hosp Infect. 2021 Jul 1;113:96-103.
14. Byambasuren O, Beller E, Glasziou P. Current knowledge and adoption of mobile health apps among Australian general practitioners: survey study. JMIR mHealth and uHealth. 2019 Jun 10;7(6):e13199.
15. Abdulla MA, Esmaeel AM. Providing information through smart platforms: an applied study on academic libraries in Saudi universities. Journal of Education, Society and Behavioural Science. 2019 Jun 1;30(4):1-24.
16. Schnall R, Iribarren SJ. Review and analysis of existing mobile phone applications for health care–associated infection prevention. American Journal of Infection Control. 2015 Jun 1;43(6):572-6.
17. Hsu LL, Hsiang HC, Tseng YH, Huang SY, Hsieh SI. Nursing students' experiences of using a smart phone application for a physical assessment course: A qualitative study. Japan Journal of Nursing Science. 2019 Apr;16(2):115-24.
18. Ehrler F, Wipfli R, Teodoro D, Sarrey E, Walesa M, Lovis C. Challenges in the implementation of a mobile application in clinical practice: case study in the context of an application that manages the daily interventions of nurses. JMIR mHealth and uHealth. 2013 Jun 12;1(1):e2344.
19. Bentvelsen RG, Vaart R Van Der, Veldkamp KE, Chavannes NH, Breda AH, Sciences B. Systematic development of an mhealth app to prevent healthcare-associated infections by involving patients: Prticipatient. Clin eHealth. 2021;4:37-44.
20. Preferred Reporting Items for Systematic Reviews and Meta-Analyses. PRISMA Preferred Reporting Items for Systematic Reviews and Meta-Analyses [Internet]. 2021 [cited 2021 Sep 6]. Available from: http://www.prisma-statement.org/
21. Munn Z, Stern C, Aromataris E, Lockwood C, Jordan Z. What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences. BMC Medical Research Methodology. 2018 Dec;18(1):1-9.
22. Budd J, Miller BS, Manning EM, Lampos V, Zhuang M, Edelstein M, Rees G, Emery VC, Stevens MM, Keegan N, Short MJ. Digital technologies in the public-health response to COVID-19. Nature Medicine. 2020 Aug;26(8):1183-92.
23. Torres-Carrion PV, Gonzalez-Gonzalez CS, Aciar S, Rodriguez-Morales G. Methodology for systematic literature review applied to engineering and education. IEEE Glob Eng Educ Conf EDUCON. 2018 May 23;2018-April:1364-73.
24. Haddaway NR, Collins AM, Coughlin D, Kirk S. The role of Google Scholar in evidence reviews and its applicability to grey literature searching. PloS one. 2015 Sep 17;10(9):e0138237.
25. Cumpston MS, McKenzie JE, Thomas J, Brennan SE. The use of ‘PICO for synthesis’ and methods for synthesis without meta-analysis: protocol for a survey of current practice in systematic reviews of health interventions. F1000Research. 2020;9:678.
26. University of Bristol. Risk of bias tools [Internet]. 2021 [cited 2021 Sep 6]. Available from: https://www.riskofbias.info/
27. The Cochrane Collaboration. Risk of Bias 2 (RoB 2) tool | Cochrane Methods [Internet]. 2021 [cited 2021 Sep 6]. Available from: https://methods.cochrane.org/risk-bias-2
28. Villalobos-Zúñiga G, Cherubini M. Apps That Motivate: a Taxonomy of App Features Based on Self-Determination Theory. Int J Hum Comput Stud. 2020 Aug 1;140:102449.
29. University of Bristol. Risk of bias tools- robvis (visualization tool) [Internet]. 2021 [cited 2021 Sep 6]. Available from: https://www.riskofbias.info/welcome/robvis-visualization-tool
30. Jaensson M, Dahlberg K, Eriksson M, Nilsson U. Evaluation of postoperative recovery in day surgery patients using a mobile phone application: A multicentre randomized trial. Br J Anaesth. 2017;119(5):1030-8.
31. Schulz S, Santana RF, Targino C, Faleiro TB, Medeiros D, Beatriz A, et al. Telephonic nursing intervention for laparoscopic cholecystectomy and hernia repair : A randomized controlled study. BMC Nursing. 2020;1-9.
32. Rea K, Le-Jenkins U, Rutledge C. A technology intervention for nurses engaged in preventing catheter-associated urinary tract infections. CIN- Comput Informatics Nurs. 2018 Jun;36(6):305-13.
33. Saffari M, Sanaeinasab H, Masoumbeigi H, Pakpour AH, O’Garo KN, Koenig HG. An Education-Based Text Messaging Program to Improve Nurses’ Knowledge, Attitude, and Practice Related to Nosocomial Infections in Intensive Care Settings. J Contin Educ Nurs. 2019 May;50(5):211-7.
34. Pathak A, Sharma S, Sharma M, Mahadik VK, Lundborg CS. Feasibility of a mobile phone-based surveillance for surgical site infections in Rural India. Telemed e-Health. 2015;21(11):946-9.
35. Scheper H, Derogee R, Mahdad R, van der Wal RJ, Nelissen RG, Visser LG, de Boer MG. A mobile app for postoperative wound care after arthroplasty: Ease of use and perceived usefulness. International Journal of Medical Informatics. 2019 Sep 1;129:75-80.
36. Castillo E, McIsaac C, MacDougall B, Wilson D, Kohr R. Post-caesarean section surgical site infection surveillance using an online database and mobile phone technology. Journal of Obstetrics and Gynaecology Canada. 2017 Aug 1;39(8):645-51.
37. Aldaz G, Shluzas LA, Pickham D, Eris O, Sadler J, Joshi S, Leifer L. Hands-free image capture, data tagging and transfer using Google Glass: a pilot study for improved wound care management. PloS one. 2015 Apr 22;10(4):e0121179.
38. Kerbaj J, Toure Y, Aladro AS, Boudjema S, Giorgi R, Dufour JC, Brouqui P. Smartphone text message service to foster hand hygiene compliance in health care workers. American Journal of Infection Control. 2017 Mar 1;45(3):234-9.
39. Orwoll B, Diane S, Henry D, Tsang L, Chu K, Meer C, Hartman K, Roy-Burman A. Gamification and microlearning for engagement with quality improvement (GAMEQI): A bundled digital intervention for the prevention of central line–associated bloodstream infection. American Journal of Medical Quality. 2018 Jan;33(1):21-9.
40. Olaoye O, Tuck C, Khor WP, McMenamin R, Hudson L, Northall M, Panford-Quainoo E, Asima DM, Ashiru-Oredope D. Improving access to antimicrobial prescribing guidelines in 4 African countries: Development and pilot implementation of an App and cross-sectional assessment of attitudes and behaviour survey of healthcare workers and patients. Antibiotics. 2020 Sep;9(9):555.
41. Seibert K, Domhoff D, Bruch D, Schulte-Althoff M, Fürstenau D, Biessmann F, Wolf-Ostermann K. Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review. Journal of Medical Internet Research. 2021 Nov 29;23(11):e26522.
42. McBride DL, LeVasseur SA. Personal communication device use by nurses providing in-patient care: Survey of prevalence, patterns, and distraction potential. JMIR human factors. 2017 Apr 13;4(2):e5110.
43. Vehko T, Hyppönen H, Puttonen S, Kujala S, Ketola E, Tuukkanen J, Aalto AM, Heponiemi T. Experienced time pressure and stress: electronic health records usability and information technology competence play a role. BMC medical informatics and decision making. 2019 Dec;19(1):1-9.
44. Yen P-Y, Kellye M, Lopetegui M, Saha A, Loversidge J, Chipps EM, et al. Nurses’ Time Allocation and Multitasking of Nursing Activities: A Time Motion Study. AMIA Annu Symp Proc. 2018 Sep 14;2018:1137-46.
45. De Leeuw JA, Woltjer H, Kool RB. Identification of factors influencing the adoption of health information technology by nurses who are digitally lagging: in-depth interview study. Journal of Medical Internet Research. 2020;22(8):e15630.
46. De Leeuw JA, Woltjer H, Kool RB. Identification of factors influencing the adoption of health information technology by nurses who are digitally lagging: in-depth interview study. Journal of Medical Internet Research. 2020;22(8):e15630.
47. Galletta M, Portoghese I, Gonzales CI, Melis P, Marcias G, Campagna M, Minerba L, Sardu C. Lack of respect, role uncertainty and satisfaction with clinical practice among nursing students: the moderating role of supportive staff. Acta Bio Medica: Atenei Parmensis. 2017;88(Suppl 3):43-50.
48. Bazrafkan L, Najafi Kalyani M. Nursing Students' Experiences of Clinical Education: A Qualitative Study. Investigacion y Educacion En Enfermeria. 2018 Dec;36(3):e04.
49. Jun YJ, Shin D, Choi WJ, Hwang JH, Kim H, Kim TG, Lee HB, Oh TS, Shin HW, Suh HS, Lee AY. A Mobile application for wound assessment and treatment: Findings of a user trial. The international Journal of Lower Extremity Wounds. 2016 Dec;15(4):344-53.
50. Gill PS, Kamath A, Gill TS. Distraction: an assessment of smartphone usage in health care work settings. Risk management and healthcare policy. 2012;5:105-14.
51. Liu N, Yu R. Identifying design feature factors critical to acceptance and usage behavior of smartphones. Computers in Human Behavior. 2017 May 1;70:131-42.
52. Guo P, Watts K, Wharrad H. An integrative review of the impact of mobile technologies used by healthcare professionals to support education and practice. Nursing Open. 2016 Apr;3(2):66-78.
53. Dehkordi MB, Zaraki A, Setchi R. Feature extraction and feature selection in smartphone-based activity recognition. Procedia Computer Science. 2020 Jan 1;176:2655-64.
54. Lahti M, Hätönen H, Välimäki M. Impact of e-learning on nurses’ and student nurses knowledge, skills, and satisfaction: A systematic review and meta-analysis. International Journal of Nursing Studies. 2014 Jan 1;51(1):136-49.
55. Jalali MS, Kaiser JP. Cybersecurity in hospitals: A systematic, organizational perspective. Journal of Medical Internet Research. 2018 May 28;20(5):e10059.
56. Shakthivel PG, GV GS, Revathy C. Mobile phones in healthcare setting: potential threat in infection control. Int J Curr Microbiol Appl Sci. 2017;6(3):706-11.
57. Wani TA, Mendoza A, Gray K. Hospital bring-your-own-device security challenges and solutions: Systematic review of gray literature. JMIR mHealth and uHealth. 2020 Jun 18;8(6):e18175.
58. Iribarren SJ, Cato K, Falzon L, Stone PW. What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions. PloS one. 2017 Feb 2;12(2):e0170581.
59. Bergmo TS. How to measure costs and benefits of eHealth interventions: an overview of methods and frameworks. Journal of Medical Internet Research. 2015;17(11):e254.
60. Mano R. Mobile Health Apps and Health Management Behaviors: Cost-Benefit Modeling Analysis. JMIR Human Factors. 2021 Apr 22;8(2):e21251.
| Files | ||
| Issue | Vol 9 No 2 (2022): Spring | |
| Section | Review Article(s) | |
| DOI | https://doi.org/10.18502/npt.v9i2.8892 | |
| Keywords | ||
| nurses mobile phone mobile app healthcare-associated infections systematic review | ||
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How to Cite
1.
Fithriyyah Y, Aulawi K. Using mobile phone applications in engaging nurses for preventing healthcare-associated infections: A systematic review. NPT. 2021;9(2):84-101.
