An Innovation Scheduling Program of Nurses During Covid-19 Pandemic: A Case Study

Authors

  • Kartika Mawar Sari -
  • Rr. Tutik Sri Hariyati2
  • Titiek Muhaeriwati

DOI:

https://doi.org/10.35654/ijnhs.v4i2.418

Keywords:

COVID-19 schedule, length of nurse shift, nurse scheduling

Abstract

The increasing number of COVID-19 patients in hospitals has impacted workload and nurse fatigue. Management of service schedules is necessary to protect the safety of patients and nurses. This case study aims to describe innovative programs in scheduling nurses during the COVID-19 pandemic. This study used the case study method, implementation analysis, and discussion with the literature. Data collection was conducted with interviews and secondary data. The samples were three heads nurse from three inpatient rooms. The process started from problem identification, problem analysis, planning of action, implementation, and evaluation. The results showed that the innovation program for scheduling during the COVID-19 pandemic could be implemented. The implementation was to prepare official schedule guidelines, simulation of the creation of official schedules, and socialization of draft guidelines for the office schedule to the Head nurse. Planning the official program during the COVID-19 pandemic required good management. Nursing managers could create schedules with excel-based formats that were easy to apply. Online socialization could be done to improve understanding. The use of information technology was necessary to create an easy, fast and workable scheduling formula. The nursing field can make policies related to scheduling during the COVID-19 pandemic, carry out implementation trials in units, monitoring and evaluating the implementation of innovative programs, and provide adequate internet connections.

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References

(1) Sesrianty V, Machmud R, Yeni F. Analisa kepuasan pasien terhadap mutu pelayanan keperawatan. J Kesehat PERINTIS (Perintis’s Heal Journal). 2019;6(2):116–26.

(2) Al Thobaity A, Alshammari F. Nurses on the Frontline against the COVID-19 Pandemic: An Integrative Review. Dubai Med J. 2020;1–6.

(3) Rosyanti L, Hadi I. Dampak psikologis dalam memberikan perawatan dan layanan kesehatan pasien COVID-19 pada tenaga profesional kesehatan. Heal Inf J Penelit. 2020;12(1):107–30.

(4) Hu D, Kong Y, Li W, Han Q, Zhang X, Zhu LX, et al. Frontline nurses' burnout, anxiety, depression, and fear statuses and their associated factors COVID-19 outbreak in Wuhan, China: A large-scale cross-sectional study. EClinicalMedicine. 2020;24.

(5) Desvitasari H. Hubungan Shift Kerja Dan Beban Kerja Terhadap Tingkat Kelelahan Kerja Perawat. J Ilm Multi Sci Kesehat. 2019;11.

(6) Kuppuswamy R, Sharma SK. Efficient Utilization of Nursing Manpower during the COVID-19 Pandemic. Pondicherry J Nurs. 2020;13(2):39–42.

(7) Gao X, Jiang L, Hu Y, Li L, Hou L. Nurses’ experiences regarding shift patterns in isolation wards during the COVID-19 pandemic in China: A qualitative study. J Clin Nurs. 2020;(July):1–11.

(8) Ayuningtyas D. No Perencanaan Strategis untuk Organisasi Pelayanan Kesehatan. Jakarta: Rajawali Pers; 2015.

(9) Legrain A, Bouarab H, Lahrichi N. The Nurse Scheduling Problem in Real-Life. J Med Syst. 2015;39(1).

(10) Rizany I, Sri Hariyati T, Purwaningsih S. Optimalisasi Fungsi Kepala Ruangan Dalam Penetapan Jadwal Dinas Perawat Berbasis Kompetensi: Pilot Study. J Persat Perawat Nas Indones. 2017;1(3):244.

(11) Wolbeck L, Kliewer N, Marques I. Fair shift change penalization scheme for nurse rescheduling problems. Eur J Oper Res [Internet]. 2020;284(3):1121–35. Available from: https://doi.org/10.1016/j.ejor.2020.01.042

(12) Kemenkes RI. Pedoman Pencegahan dan Pengendalian Corona Virus Disease 2019 (Covid-19). MenKes/413/2020, 413 2020.

(13) Liang T. Buku Pegangan Pencegahan dan Penatalaksanaan COVID-19. 2020;68. Available from: pdf-intl.alicdn.com

(14) Xia Zhang E a. Nurses reports of actual work hours and preferred work hours per shift among frontline nurses during coronavirus disease 2019 (COVID-19) epidemic: A cross-sectional survey. Int J Nurs Study. 2020;(January).

(15) Aiken LH, Sloane D, Griffiths P, Rafferty AM, Bruyneel L, McHugh M, et al. Nursing skill mix in European hospitals: Cross-sectional study of the association with mortality, patient ratings, and quality of care. BMJ Qual Saf. 2017;26(7):559–68.

(16) Permenkes RI No 40. Pengembangan jenjang karir profesional perawat klinis [Internet]. BMC Public Health 2017 p. 1–8. Available from: https://ejournal.poltektegal.ac.id/index.php/siklus/article/view/298%0Ahttp://repositorio.unan.edu.ni/2986/1/5624.pdf%0Ahttp://dx.doi.org/10.1016/j.jana.2015.10.005%0Ahttp://www.biomedcentral.com/1471-2458/12/58%0Ahttp://ovidsp.ovid.com/ovidweb.cgi?T=JS&P

(17) AMSN. AMSN Recommended response to critical staffing. 2020; Available from www.amsn.org

(18) NCHA. Strategies to support nursing surge capacity during biological events. 2020;(April):1–7. Available from: https://pubs.ncnurses.org/pub/5EBD81C6-0CA9-D4C4-6AC6-96F70D0979CE

(19) Kepmenkes No 278. Pemberian Insentif Dan Santunan Kematian Bagi Tenaga Kesehatan Yang Menangani Corona Virus Disease 2019 (Covid-19) [Internet]. Kementerian Kesehatan 2020 p. 1–24. Available from: https://www.cdc.gov/coronavirus/2019-ncov/specific-groups/high-risk-complications/older-adults.html

(20) El Adoly AA, Gheith M, Nashat Fors M. A new formulation and solution for the nurse scheduling problem: A case study in Egypt. Alexandria Eng J [Internet]. 2018;57(4):2289–98. Available from: https://doi.org/10.1016/j.aej.2017.09.007

(21) Rafferty AM. Nurses as change agents for a better future in health care: The politics of drift and dilution. Heal Econ Policy Law. 2018;13(3–4):475–91.

(22) Robbins, Judge TA. Organizational Behavior. Pearson education limited; 2017.

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Published

2021-04-20