Effectiveness of current perioperative telemonitoring on postoperative outcome in patients undergoing major abdominal surgery: A systematic review of controlled trials

1. Jakobson, T, Karjagin, J, Vipp, L, et al. Postoperative complications and mortality after major gastrointestinal surgery. Med 2014; 50: 111–117.
Google Scholar2. McCulloch, P . Randomised trials in surgery: problems and possible solutions. Br Med J 2002; 324: 1448–1451.
Google Scholar | Crossref | Medline3. Veličković, J, Feng, C, Palibrk, I, et al. The assessment of complications after major abdominal surgery: a comparison of two scales. J Surg Res 2019; 9: 1–9.
Google Scholar4. Lassen, K, Soop, M, Nygren, J, et al. Consensus review of optimal perioperative care in colorectal surgery: enhanced recovery after surgery (ERAS) group recommendations. Arch Surg 2009; 144: 961–969.
Google Scholar | Crossref | Medline5. Lassen, K, Coolsen, MME, Slim, K, et al. Guidelines for perioperative care for pancreaticoduodenectomy: enhanced recovery after surgery (ERAS®) society recommendations. World J Surg 2013; 37: 240–258.
Google Scholar | Crossref | Medline | ISI6. Song, Y, Tang, R, Roses, RE, et al. Opioid use disorder is associated with complications and increased length of stay after major abdominal surgery. Ann Surg 2019; 1: 1–9.
Google Scholar7. Hughes, MJ, Hackney, RJ, Lamb, PJ, et al. Prehabilitation before major abdominal surgery: a systematic review and meta-analysis. World J Surg 2019; 43: 1661–1668.
Google Scholar | Crossref | Medline8. Joshi, M, Ashrafian, H, Aufegger, L, et al. Wearable sensors to improve detection of patient deterioration. Expert Rev Med Devices 2019; 16: 145–154.
Google Scholar | Crossref | Medline9. Barrios, L, Oldrati, P, Santini, S, et al. Evaluating the accuracy of heart rate sensors based on photoplethysmography for in-the-wild analysis. In: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth’19), Trento, Italy, pp.1–11.
Google Scholar10. Kumar, A, Roberts, D, Wood, KE, et al. Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock*. Crit Care Med 2006; 34(6): 1589–1596. DOI: 10.1097/01.CCM.0000217961.75225.E9. Epub ahead of print.
Google Scholar | Crossref | Medline11. Eskander, RN, Chang, J, Ziogas, A, et al. Evaluation of 30-day hospital readmission after surgery for advanced-stage ovarian cancer in a medicare population. J Clin Oncol 2014; 32: 4113–4119.
Google Scholar | Crossref | Medline12. Low, CA, Bovbjerg, DH, Ahrendt, S, et al. Fitbit step counts during inpatient recovery from cancer surgery as a predictor of readmission. Ann Behav Med 2018; 52: 88–92.
Google Scholar | Crossref | Medline13. Downey, CL, Chapman, S, Randell, R, et al. The impact of continuous versus intermittent vital signs monitoring in hospitals: a systematic review and narrative synthesis. Int J Nurs Stud 2018; 84: 19–27.
Google Scholar | Crossref | Medline14. Dorsey, ER, Topol, EJ. State of telehealth. N Engl J Med 2016; 375: 154–161.
Google Scholar | Crossref | Medline | ISI15. Van der Meij, E, Anema, JR, Otten, RHJ, et al. The effect of perioperative e-health interventions on the postoperative course: a systematic review of randomised and non-randomised controlled trials. PLoS One 2016; 11: e0158612.
Google Scholar | Crossref | Medline16. Pickens, R, Cochran, A, Tezber, K, et al. Using a mobile application for real-time collection of patient-reported outcomes in hepatopancreatobiliary surgery within an ERAS pathway. Am Surg 2019; 85: 909–917.
Google Scholar | SAGE Journals17. Graetz, I, Anderson, JN, McKillop, CN, et al. Use of a web-based app to improve postoperative outcomes for patients receiving gynecological oncology care: a randomized controlled feasibility trial. Gynecol Oncol 2018; 150: 311–317.
Google Scholar | Crossref | Medline18. Bouwsma, EVA, Vonk Noordegraaf, A, Szlávik, Z, et al. Process evaluation of a multidisciplinary care program for patients undergoing gynaecological surgery. J Occup Rehabil 2013; 24: 425–438.
Google Scholar19. Dorrell, RD, Vermillion, SA, Clark, CJ. Feasibility of real-time location systems in monitoring recovery after major abdominal surgery. Surg Endosc 2017; 31: 5457–5462.
Google Scholar | Crossref | Medline20. Ertel, AE, Kaiser, TE, Abbott, DE, et al. Use of video-based education and tele-health home monitoring after liver transplantation: results of a novel pilot study. Surgery. 2016; 160: 869–876.
Google Scholar21. Faiz, NS, Anele, C, et al. An observational study to assess the feasibility of remote monitoring of patients in the early postoperative period after elective surgery. Digit Med 2018; 4: 133.
Google Scholar22. Paul, JE, Chong, MA, Buckley, N, et al. Vital sign monitoring with continuous pulse oximetry and wireless clinical notification after surgery (the VIGILANCE pilot study)—a randomized controlled pilot trial. Pilot Feasibility Stud 2019; 5: 1–8.
Google Scholar | Crossref | Medline23. Mousa, AY, Broce, M, Monnett, S, et al. Results of telehealth electronic monitoring for post discharge complications and surgical site infections following arterial revascularization with groin incision. Ann Vasc Surg 2019; 57: 160–169.
Google Scholar | Crossref | Medline24. Gunter, RL, Fernandes-Taylor, S, Rahman, S, et al. Feasibility of an image-based mobile health protocol for postoperative wound monitoring. J Am Coll Surg 2018; 226: 277–286.
Google Scholar | Crossref | Medline25. Sun, V, Dumitra, S, Ruel, N, et al. Wireless monitoring program of patient-centered outcomes and recovery before and after major abdominal cancer surgery. JAMA Surg 2017; 152: 852–859.
Google Scholar | Crossref | Medline26. Liberati, A, Altman, DG, Tetzlaff, J, et al. Guidelines and guidance the PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med 2009; 6: e1000100.
Google Scholar | Crossref | Medline | ISI27. Sterne, JAC, Savović, J, Page, MJ, et al. Rob 2: a revised tool for assessing risk of bias in randomised trials. Br Med J 2019; 366: 1–8.
Google Scholar28. Sterne, JAC, Hernán, MA, Reeves, BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomized studies of interventions. Br Med J 2016; 355: 1–7.
Google Scholar29. Downey, C, Randell, R, Brown, J, et al. Continuous versus intermittent vital signs monitoring using a wearable, wireless patch in patients admitted to surgical wards: pilot cluster randomized controlled trial. J Med Internet Res 2018; 20: 1–10.
Google Scholar | Crossref30. Bouwsma, EVA, Huirne, JAF, Van De Ven, PM, et al. Effectiveness of an internet-based perioperative care programme to enhance postoperative recovery in gynaecological patients: cluster controlled trial with randomised stepped-wedge implementation. BMJ Open 2018; 8: 1–10.
Google Scholar | Crossref31. Bouwsma, EVA, Bosmans, JE, Van Dongen, JM, et al. Cost-effectiveness of an internet-based perioperative care programme to enhance postoperative recovery in gynaecological patients: economic evaluation alongside a stepped-wedge cluster-randomised trial. BMJ Open 2018; 8(1): 1–11. DOI: 10.1136/bmjopen-2017-017782. Epub ahead of print 1 January 2018.
Google Scholar | Crossref32. Vonk Noordegraaf, A, Anema, JR, Van Mechelen, W, et al. A personalised eHealth programme reduces the duration until return to work after gynaecological surgery: results of a multicentre randomised trial. BJOG An Int J Obstet Gynaecol 2014; 121: 1127–1135.
Google Scholar | Crossref | Medline33. Zand, A, Nguyen, A, Stokes, Z, et al. Patient experiences and outcomes of a telehealth clinical care pathway for postoperative inflammatory bowel disease patients. Telemed J E Health 2019; 00: 1–9.
Google Scholar34. Gustavell, T, Sundberg, K, Segersvärd, R, et al. Decreased symptom burden following surgery due to support from an interactive app for symptom management for patients with pancreatic and periampullary cancer. Acta Oncol (Madr) 2019; 58: 1307–1314.
Google Scholar | Crossref35. Wang, QQ, Zhao, J, Huo, XR, et al. Effects of a home care mobile app on the outcomes of discharged patients with a stoma: a randomised controlled trial. J Clin Nurs 2018; 27: 3592–3602.
Google Scholar | Crossref | Medline36. Skraastad, EJ, Borchgrevink, PC, Nilsen, TIL, et al. Postoperative quality and safety using efficacy safety score (ESS) and a wireless patient monitoring system at the ward: a randomised controlled study. Acta Anaesthesiol Scand 2020; 64: 301–308.
Google Scholar | Crossref | Medline37. Downey, CL, Croft, J, Ainsworth, G, et al. Trial of remote continuous versus intermittent NEWS monitoring after major surgery (TRaCINg): a feasibility randomised controlled trial. Pilot and Feasibilty Studies 2020; 6(183): 1–14. DOI: 10.1186/s40814-020-00709-8.
Google Scholar | Crossref38. Heuser, J, Maeda, A, Yang, L, et al. Impact of a mobile app to support home recovery of patients undergoing bariatric surgery. J Surg Res 2021; 261: 179–184.
Google Scholar | Crossref | Medline39. Bouwsma, EVA, Bosmans, JE, Van Dongen, JM, et al. Cost-effectiveness of an internet-based perioperative care programme to enhance postoperative recovery in gynaecological patients: economic evaluation alongside a stepped-wedge cluster-randomised trial. BMJ Open 2018; 8: 1–11.
Google Scholar | Crossref40. Cleeland, CS, Wang, XS, Shi, Q, et al. Automated symptom alerts reduce postoperative symptom severity after cancer surgery: a randomized controlled clinical trial. J Clin Oncol 2011; 29: 994–1000.
Google Scholar | Crossref | Medline | ISI41. Sengpiel, J, Fuehner, T, Kugler, C, et al. Use of telehealth technology for home spirometry after lung transplantation: a randomized controlled trial. Prog Transplant 2010; 20: 310–317.
Google Scholar | SAGE Journals | ISI42. Levy, MM, Fink, MP, Marshall, JC, et al. 2001 SCCM/ESICM/ACCP/ATS/SIS international sepsis definitions conference. Intensive Care Med 2003; 29: 530–538.
Google Scholar | Crossref | Medline43. Gustavell, T, Langius-Eklöf, A, Wengström, Y, et al. Development and feasibility of an interactive smartphone app for early assessment and management of symptoms following pancreaticoduodenectomy. Cancer Nurs 2019; 42: E1–E10.
Google Scholar | Crossref | Medline44. Preckel, B, Staender, S, Arnal, D, et al. Ten years of the Helsinki declaration on patient safety in anaesthesiology an expert opinion on peri-operative safety aspects. Eur J Anaesthesiol 2020; 37: 1–90.
Google Scholar | Crossref | Medline45. McGillion, MH, Duceppe, E, Allan, K, et al. Postoperative remote automated monitoring: need for and state of the science. Can J Cardiol 2018; 34: 850–862.
Google Scholar | Crossref | Medline46. Cardona-Morrell, M, Prgomet, M, Turner, RM, et al. Effectiveness of continuous or intermittent vital signs monitoring in preventing adverse events on general wards: a systematic review and meta-analysis. Int J Clin Pract 2016; 70: 806–824.
Google Scholar | Crossref | Medline47. Subbe, CP, Duller, B, Bellomo, R. Effect of an automated notification system for deteriorating ward patients on clinical outcomes. Crit Care 2017; 21: 52.
Google Scholar | Crossref | Medline48. Leenen, JP, Leerentveld, C, Van Dijk, JD, et al. Current evidence for continuous vital signs monitoring by wearable wireless devices in hospitalized adults: a systematic review. J Med Internet Res 2020; 22(6): 1–22. DOI: 10.2196/preprints.18636.
Google Scholar | Crossref49. Welch, J, Kanter, B, Skora, B, et al. Multi-parameter vital sign database to assist in alarm optimization for general care units. J Clin Monit Comput 2016; 30: 895–900.
Google Scholar | Crossref | Medline50. Weenk, M, Koeneman, M, van de Belt, TH, et al. Wireless and continuous monitoring of vital signs in patients at the general ward. Resuscitation 2019; 136: 47–53.
Google Scholar | Crossref | Medline51. Holle, R, Zahlmann, G. Evaluation of telemedical services. IEEE Trans Inf Technol Biomed 1999; 3: 84–91.
Google Scholar | Crossref | Medline52. Krupinski, E, Bernard, J. Standards and guidelines in telemedicine and telehealth. Healthcare 2014; 2: 74–93.

留言 (0)

沒有登入
gif