The Relationship between Incoming Patient Conditions with the Death Rate of Covid-19 at Dr. Ramelan Naval Hospital Surabaya

Authors

  • A.V Sri Suhardiningsih Sekolah Tinggi Ilmu Kesehatan Hang Tuah Surabaya, Indonesia
  • Dhian Satya Rachmawati Sekolah Tinggi Ilmu Kesehatan Hang Tuah Surabaya, Indonesia
  • Setiadi Setiadi Sekolah Tinggi Ilmu Kesehatan Hang Tuah Surabaya, Indonesia
  • Enjang Wahyu Budiarti Sekolah Tinggi Ilmu Kesehatan Hang Tuah Surabaya, Indonesia
  • Maya Ayu Riestiyowati Sekolah Tinggi Ilmu Kesehatan Hang Tuah Surabaya, Indonesia

DOI:

https://doi.org/10.54099/aijms.v4i2.1169

Keywords:

Patient Condition, Mortality Rate, Covid-19, Early Detection

Abstract

Covid-19 cases in 2021 continue to increase with a case fatality rate of 7.17% in East Java. Delays in early detection by patients and families, late referrals and stigma related to Covid-19 cases cause patients to come to the hospital with oxygen saturation <80%, so that patients come already in emergency conditions and are at risk of death.

Purpose – This study aims to analyze the relationship between the incoming patient conditions with the mortality rate of Covid-19 patients at Dr. Ramelan Naval Hospital Surabaya. Methodology/approach – The research design used cross sectional. The population in this study was 1159 Covid-19 patients who came to the emergency room and who were hospitalized at Dr. Ramelan Naval Hospital Surabaya in May-July 2021. Samples of 174 patients were taken using systematic random sampling techniques.

Findings – The results showed that the majority of Covid-19 patients who came for treatment were in moderate symptomatic condition by 67.2%, patients came in critical condition by 29.9% and patients with mild symptomatic condition by 2.9%. The results showed that the death of Covid-19 patients in May-July 2021 was 54 patients (31%).

References

A. D. Haq et al. “Faktor – Faktor Terkait Tingkat Keparahan Infeksi Coronavirus Disease 2019 (COVID-19): Sebuah Kajian Literatur,” JIMKI J. Ilm. Mhs. Kedokt. Indones., vol. 9, no. 1, pp. 48–55, 2021, https://doi.org/10.53366/jimki.v9i1.338

A. Ernawati. “Tinjauan Kasus COVID-19 Berdasarkan Jenis Kelamin, Golongan Usia, dan Kepadatan Penduduk di Kabupaten Pati,” J. Litbang Media Inf. Penelitian, Pengemb. dan IPTEK, vol. 17, no. 2, pp. 131–146, 2021, https://doi.org/10.33658/jl.v17i2.280

Abudi, Y. Mokodompis, and A. N. Magulili. “Stigma Terhadap Orang Positif Covid-19,” Jambura J. Heal. Sci. Res., vol. 2, no. 2, pp. 77–84, 2020, https://doi.org/10.35971/jjhsr.v2i2.6012

Assal, H. H., Abdel-Hamid, H. M., Magdy, S., Salah, M., Ali, A., Elkaffas, R. H., & Sabry, I. M. (2022). Predictors of severity and mortality in COVID-19 patients. Egyptian Journal of Bronchology, 16(1). https://doi.org/10.1186/s43168-022-00122-0

Badan Litbangkes. “Ikhtisar Mingguan Covid 19 Di Indonesia,” Pusdatin, Kemenkes, pp. 15–16, 2021.

Bahari, N., Yunus, A. R., Jabar, J. A., & Yusof, S. W. M. (2018). Entrepreneur Characteristics and Firm Performance: A Study on Malaysian Food Manufacturing Industry Sme’s. IOSR Journal Of Humanities And Social Science (IOSR-JHSS), 23(2), PP 92-98. https://doi.org/10.9790/0837-2302079298

Baker, T. B., Loh, W., Piasecki, T. M., Bolt, D. M., Smith, S. S., Slutske, W. S., Conner, K. L., Bernstein, S. L., & Fiore, M. C. (2023). A machine learning analysis of correlates of mortality among patients hospitalized with COVID-19. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-31251-1

Estiri, H., Strasser, Z. H., Klann, J. G., Naseri, P., Wagholikar, K. B., & Murphy, S. N. (2021). Predicting COVID-19 mortality with electronic medical records. Npj Digital Medicine, 4(1). https://doi.org/10.1038/s41746-021-00383-x

Fillmore, N. R., La, J., Szalat, R. E., Tuck, D. P., Nguyen, V., Yildirim, C., V, N., DO, Brophy, M. T., & Munshi, N. C. (2020). Prevalence and outcome of COVID-19 infection in cancer patients: A National Veterans Affairs study. JNCI Journal of the National Cancer Institute, 113(6), 691–698. https://doi.org/10.1093/jnci/djaa159

Gonzalez.“Radiography-based triage for COVID-19 in the Emergency Department in a Spanish cohort of patients,” Med. Clin. (Barc)., vol. 158, no. 10, pp. 466–471, 2022, https://doi.org/10.1016/j.medcli.2021.05.013

H. Muryawan, D. Yusnita, and M. Muyassaroh. “Hubungan Karakteristik Demografi dengan Pengetahuan, Sikap, dan Perilaku terhadap Pencegahan Covid-19 pada Pasien Rawat Jalan,” Bul. Penelit. Kesehat., vol. 49, no. 4, pp. 223–230, 2021, https://doi.org/10.22435/bpk.v49i4.4640

Kemenkes RI. (2020). Pedoman Pencegahan dan Pengendalian Coronavirus Disease (Covid-19).

Kemenkes RI. “Situasi Terkini Perkembangan Coronavirus,” Kementeri. Kesehat. RI, pp. 1–4, 2021.

Said and Ropiah. “Hubungan Demografi Dan Penerapan Protokol Covid-19 Dengan Literasi Kesehatan Di Kelurahan Silaberanti Kota Palembang,” PREPOTIF J. Kesehat. Masy., vol. 5, no. 2, pp. 611–623, 2021, https://doi.org/10.31004/prepotif.v5i2.1897

Styawan, Agus. “Pandemi COVID-19 Dalam Persepktif Demografi” Semin. Nas. Off. Stat., vol. 2020, no. September, pp. 182–189, 2020.

Supandi, Kandou, and Langi. “Karakteristik Penderita Coronavirus Disease 2019 di Kota Kotamobagu,” J. kesmas, vol. 10, no. 8, pp. 41–49, 2021.

Sutrisno, A. C. Romdhoni, and Andrianto. Memahami Perilaku COVID-19 di Jawa Timur. 2019.

U. H. Fata and L. Febriana. “Oxygen Saturation (SPO2) in Covid-19 Patients,” J. Ners dan Kebidanan (Journal Ners Midwifery), vol. 8, no. 3, pp. 290–294, 2021, https://doi.org/10.26699/jnk.v8i3.art.p290-294

WHO. “Social Stigma associated with COVID-19 A guide to preventing and addressing,” no. February, pp. 1–5, 2020.

T. Winugroho, M. Imansyah, E. Bangun, R. K. Apriyadi, and A. Hidayat. “Analisis Pengaruh Faktor Demografi terhadap Lama Karantina pada Perawat Terpapar Covid-19 di Jawa Tengah,” PENDIPA J. Sci. Educ., vol. 5, no. 2, pp. 229–236, 2021, https://doi.org/10.33369/pendipa.5.2.229-236

Wee, L. E., Fua, T., Chua, Y. Y., Ho, A. F. W., Sim, X. Y. J., Conceicao, E. P., Venkatachalam, I., Tan, K. B., & Tan, B. H. (2020). Containing COVID‐19 in the Emergency Department: The role of improved case detection and segregation of suspect cases. Academic Emergency Medicine, 27(5), 379–387. https://doi.org/10.1111/acem.13984

PDPI, PERKI, PAPDI, PERDATIN, and IDAI. Pedoman tatalaksana COVID-19 Edisi 1 April 2020. 2020

Rahmi NS, Amaliana L, Pimada LM. Confirmatory Factor Analysis pada Indikator Kesembuhan Pasien Isolasi Mandiri Covid-19 di Indonesia. Statistika. 2022;22(1):13–23.

Simatupang. Risiko Kematian Pasien Covid-19 dan Faktor yang Memengaruhinya. Semin Nas Off Stat. 2021;2021(1):889–98.

Rumampuk and Katuuk. “Hubungan Ketepatan Triase Dengan Response Time Perawat Di Instalasi Gawat Darurat Rumah Sakit Tipe C,” J. Keperawatan, vol. 7, no. 1, 2019, https://doi.org/10.35790/jkp.v7i1.25206.

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Published

2025-06-01

How to Cite

Suhardiningsih, A. S. ., Rachmawati, D. S. ., Setiadi, S., Budiarti, E. W. ., & Riestiyowati, M. A. . (2025). The Relationship between Incoming Patient Conditions with the Death Rate of Covid-19 at Dr. Ramelan Naval Hospital Surabaya. Adpebi International Journal of Multidisciplinary Sciences, 4(2), 128–137. https://doi.org/10.54099/aijms.v4i2.1169

Issue

Vol. 4 No. 2 (2025)

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