Developing a Patient-centered Care Information System for Hemodialysis Clinic Services

Authors

  • Elsye Maria Rosa Master of Nursing Science, Yogyakarta Muhammadiyah University, Kasihan, Indonesia https://orcid.org/0000-0003-2405-0953
  • Arlina Dewi Master of Hospital Administration, Yogyakarta Muhammadiyah University, Kasihan, Indonesia
  • Ariadne Aulia Master of Hospital Administration, Yogyakarta Muhammadiyah University, Kasihan, Indonesia
  • Wen-Chung Shih Department of M-Commerce and Multimedia Applications, Asia University, Taiching, Taiwan

DOI:

https://doi.org/10.3889/oamjms.2023.7856

Keywords:

Hemodialysis, Patient-Centered Care, Patient Safety

Abstract

BACKGROUND: Patient-centered care is a service process that focuses on the patient. All health workers collaborate in providing services to patients undergoing dialysis at risk of adverse events. The information system is very urgent to develop as a tool for monitoring hemodialysis (HD) services. System monitoring can prevent medical errors in the hospital.

AIM: The aim of the study was to develop a Patient-Centered Care Information System at the HD clinic and make the monitoring systems for doctors and nurses. This study was conducted in Nitipuran Health Center of HD care specialists. The data were obtained from the interview in 12 participants consisting of nursing in Nitipuran Health Center of HD care specialist.

METHODS: This was a qualitative research with a design case study with focus group discussion.

RESULTS: An electronic medical record was built to provide better service for dialysis patients at HD clinics. According to the healthcare workers’ convenience, the system that could input PCs and tablets used two different approaches. A PC-based system is for doctors, and the tablet-based  system is used by nurses who frequently monitor dialysis patients.

CONCLUSION: The system built will make it easier for healthcare workers to monitor dialysis care from start to finish.

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References

Liu N, Kim J, Jung Y, Arisy A, Nicdao MA, Mikaheal M, et al. Remote monitoring systems for chronic patients on home hemodialysis: Field test of a copresence-enhanced design. JMIR Hum Factors. 2017;4(3):e21. https://doi.org/10.2196/humanfactors.7078 PMid:28851680 DOI: https://doi.org/10.2196/humanfactors.7078

Cimino JJ, Patel VL, Kushniruk AW. The patient clinical information system (PatCIS): Technical solutions for and experience with giving patients access to their electronic medical records. Int J Med Inform. 2002;68(1-3):113-27. https://doi.org/10.1016/S1386-5056(02)00070-9 PMid:12467796 DOI: https://doi.org/10.1016/S1386-5056(02)00070-9

Aboumatar HJ, Chang BH, Al Danaf J, Shaear M, Namuyinga R, Elumalai S, et al. Promising practices for achieving patient- centered hospital care: A national study of high-performing US hospitals. Med Care. 2015;53(9):758-67. https://doi.org/10.1097/MLR.0000000000000396 PMid:26147867 DOI: https://doi.org/10.1097/MLR.0000000000000396

Bodolica V, Spraggon M. Toward patient-centered care and inclusive health-care governance: A review of patient empowerment in the UAE. Public Health. 2019;169:114-24. https://doi.org/10.1016/j.puhe.2019.01.017 PMid:30877962 DOI: https://doi.org/10.1016/j.puhe.2019.01.017

Schick-Makaroff K, Tate K, Molzahn A. Use of electronic patient reported outcomes in clinical nephrology practice: A qualitative pilot study. Can J Kidney Health Dis. 2019;6. https://doi.org/10.1177/2054358119879451 PMid:31632681 DOI: https://doi.org/10.1177/2054358119879451

World Health Organization. Telemedicine: Opportunities and Developments in Member States: Report on the Second Global Survey on eHealth. Geneva: World Health Organization; 2010.

Chiang CY, Choi KC, Ho KM, Yu SF. Effectiveness of nurse- led patient-centered care behavioral risk modification on secondary prevention of coronary heart disease: A systematic review. Int J Nurs Stud. 2018;84:28-39. https://doi.org/10.1016/j.ijnurstu.2018.04.012 PMid:29730084 DOI: https://doi.org/10.1016/j.ijnurstu.2018.04.012

Benyahia AA, Hajjam A, Hilaire V, Hajjam M. Ontological architecture for management of telemonitoring system and alerts detection. In: eHealth and Remote Monitoring. London, United Kingdom: IntechOpen; 2012. https://doi.org/10.5772/51151 DOI: https://doi.org/10.1109/ICTAI.2012.183

Brons M, Koudstaal S, Asselbergs FW. Algorithms used in telemonitoring programmes for patients with chronic heart failure: A systematic review. Eur J Cardiovasc Nurs. 2018;17(7):580-8. https://doi.org/10.1177/1474515118786838 PMid:29954184 DOI: https://doi.org/10.1177/1474515118786838

Ware P, Ross HJ, Cafazzo JA, Laporte A, Gordon K, Seto E. User-centered adaptation of an existing heart failure telemonitoring program to ensure sustainability and scalability: Qualitative study. JMIR Cardio. 2018;2(2):e11466. https://doi.org/10.2196/11466 PMid:31758774 DOI: https://doi.org/10.2196/11466

García MA, Rosales MS, Domínguez EL, Velázquez YH, Isidro SD. Telemonitoring system for patients with chronic kidney disease undergoing peritoneal dialysis: Usability assessment based on a case study. PLoS One. 2018;13(11):e0206600. https://doi.org/10.1371/journal.pone.0206600 DOI: https://doi.org/10.1371/journal.pone.0206600

Grustam AS, Vrijhoef HJ, Koymans R, Hukal P, Severens JL. Assessment of a business-to-consumer (B2C) model for telemonitoring patients with chronic heart failure (CHF). BMC Med Inform Decis Mak. 2017;17(1):145. https://doi.org/10.1186/s12911-017-0541-2 PMid:29020993 DOI: https://doi.org/10.1186/s12911-017-0541-2

Lanssens D, Vandenberk T, Thijs IM, Grieten L, Gyselaers W. Effectiveness of telemonitoring in obstetrics: Scoping review. J Med Internet Res. 2017;19(9):e327. https://doi.org/10.2196/jmir.7266 PMid:28954715 DOI: https://doi.org/10.2196/jmir.7266

Thilly N, Chanliau J, Frimat L, Combe C, Merville P, Chauveau P, et al. Cost-effectiveness of home telemonitoring in chronic kidney disease patients at different stages by a pragmatic randomized controlled trial (eNephro): Rationale and study design. BMC Nephrol. 2017;18(1):126. https://doi.org/10.1186/s12882-017-0529-2 PMid:28381266 DOI: https://doi.org/10.1186/s12882-017-0529-2

Hancock S, Preston N, Jones H, Gadoud A. Telehealth in palliative care is being described but not evaluated: A systematic review. BMC Palliat Care. 2019;18(1):114. https://doi.org/10.1186/s12904-019-0495-5 PMid:31835998 DOI: https://doi.org/10.1186/s12904-019-0495-5

Abraham S, Ramachandran A. Estimation of quality of life in haemodialysis patients. Indian J Pharm Sci. 2012;74(6):583-7. https://doi.org/10.4103/0250-474X.110624 PMid:23798788 DOI: https://doi.org/10.4103/0250-474X.110624

Jeffs L, Jain AK, Man RH, Onabajo N, Desveaux L, Shaw J, et al. Exploring the utility and scalability of a telehomecare intervention for patients with chronic kidney disease undergoing peritoneal dialysis-a study protocol. BMC Nephrol. 2017;18(1):155. https://doi.org/10.1186/s12882-017-0557-y PMid:28486991 DOI: https://doi.org/10.1186/s12882-017-0557-y

Jebraeily M, Ghazisaeidi M, Safdari R, Makhdoomi K, Rahimi B. Hemodialysis adequacy monitoring information system: Minimum data set and capabilities required. Acta Inform Med. 2015;23(4):239-42. https://doi.org/10.5455/aim.2015.23.239-242 PMid:26483599 DOI: https://doi.org/10.5455/aim.2015.23.239-242

Jadoul M, Bieber BA, Martin P, Akiba T, Nwankwo C, Arduino JM, et al. Prevalence, incidence, and risk factors for hepatitis C virus infection in hemodialysis patients. Kidney Int. 2019;95(4):939-47. https://doi.org/10.1016/j.kint.2018.11.038 PMid:30904068 DOI: https://doi.org/10.1016/j.kint.2018.11.038

Kanda E, Kato A, Masakane I, Kanno Y. A new nutritional risk index for predicting mortality in hemodialysis patients: Nationwide cohort study. PLoS One. 2019;14(3):e0214524. https://doi.org/10.1371/journal.pone.0214524 PMid:30921398 DOI: https://doi.org/10.1371/journal.pone.0214524

Fitzpatrick J, Sozio SM, Jaar BG, Estrella MM, Segev DL, Parekh RS, et al. Frailty, body composition and the risk of mortality in incident hemodialysis patients: The predictors of arrhythmic and cardiovascular risk in end stage renal disease study. Nephrol Dial Transplant. 2019;34(2):346-54. https://doi.org/10.1093/ndt/gfy124 PMid:29868775 DOI: https://doi.org/10.1093/ndt/gfy124

Weinhandl ED, Collins AJ. Relative risk of home hemodialysis attrition in patients using a telehealth platform. Hemodial Int. 2018;22(3):318-27. https://doi.org/10.1111/hdi.12621 PMid:29210164 DOI: https://doi.org/10.1111/hdi.12621

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Published

2023-01-19

How to Cite

1.
Rosa EM, Dewi A, Aulia A, Shih W-C. Developing a Patient-centered Care Information System for Hemodialysis Clinic Services. Open Access Maced J Med Sci [Internet]. 2023 Jan. 19 [cited 2024 Apr. 19];11(G):43-52. Available from: https://oamjms.eu/index.php/mjms/article/view/7856

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Nursing in Internal Medicine

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