Riska Nuryana
Universitas Negeri Gorontalo

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Trend Analysis of Bed Occupancy Rate (BOR) in National Referral Hospitals Post-COVID-19 Pandemic: Implications for Administrative Resource Allocation Policies Utami; Riska Nuryana
Journal of Health Service Administration and Hospital Management Vol. 1 No. 1 (2025): January, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/jhsah.v1i1.361

Abstract

The Bed Occupancy Rate (BOR), a critical efficiency metric, experienced unprecedented volatility during the COVID-19 pandemic, necessitating a re-evaluation of its long-term trajectory in the National Referral Hospital (NRH) network.1 This study's purpose was to model the aggregate BOR trend in NRHs post-pandemic and empirically identify its principal administrative determinants. Methods involved a quantitative time-series design, utilizing aggregated monthly operational data from all Indonesian Type A and B NRHs (Kemenkes RI/SIRS) from January 2019 to December 2023. Analysis used a Segmented Regression Model (SRM), incorporating regional dummy variables for contextual robustness, and multivariate regression. Statistical robustness was confirmed by model fit  and turning point significance (p < 0.05). Results demonstrate a significant structural shift: the mean BOR stabilized at 69.4% (p < 0.01), confirming sustained underutilization below the optimal 75% benchmark. The SRM indicated a permanent 3.5 percentage point decline post-crisis. Key determinants were found to be negatively correlated with telemedicine adoption (2), which diverts low-acuity demand, and positively correlated with the launch of high-acuity specialty services (3), confirming complex demand concentration.4 Implications are that the traditional BOR metric is now obsolete, mandating an immediate revision of administrative resource allocation policies. The conclusion is that NRHs must undergo a paradigm shift to embrace specialization, requiring investment in high-acuity services and the adoption of a Complexity-Adjusted Utilization Index (CABOR) to achieve a sustainable, complex-care-focused operational equilibrium.5 Follow-up qualitative studies (interviews) are recommended to validate the operational significance of the low BOR.
Relationship between characteristics of pregnant women and thelevel of knowledge about dangers signs of pregnancy Mantasia Mantasia; Sumarmi; Riska Nuryana; Gcinile Miky Mbukwane
Journal of Clinical Nursing Studies and Practice Vol. 1 No. 2 (2025): JCNSP | November 2025
Publisher : UPPM STIKES Pemkab Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33023/jcnsp.v1i2.2902

Abstract

Danger signs of pregnancy are signs that indicate danger that could occur during pregnancy or the antenatal period, which if not detected could cause maternal death. This study aims to determine the relationship between the characteristics of pregnant women and the level of knowledge about the danger signs of pregnancy before and after education at the Barana Community Health Center in 2024. The method used in this research is a descriptive method using a cross sectional approach, namely independent and dependent variables are measured on At the same time using chi-square, the sample obtained was 30 respondents who came to the community health center and were given questionnaires and leaflets. The univariate results of the frequency of knowledge level before education were that respondents who had good knowledge were 18 (60%), while those with sufficient knowledge were 12 (40%). The level of knowledge after education was 28 (93%) respondents who had good knowledge, while 2 (7%) had sufficient knowledge. Bivariate results of knowledge level with age variable before education p-0.070, education variable p-0.053, gradivity variable p-0.511, parity variable p-0.462, employment variable p-0.064. while the level of age knowledge after education is p-0.136, the education variable is p-0.114, the gravidity variable is p-0.289, the parity variable is p-0.249, the employment variable is p-0.957. The conclusion is that the bivariate results of gravidity and employment have a relationship while the others have no relationship.