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Leadership Style with Paramedic Work Motivation on General Hospital Performance Natalia Natalia; Edy Fachrial; Suandy Suandy; Yohani Theresia; I Nyoman Ehrich Lister
Proceeding of the International Conference on Health Sciences and Nursing Vol. 2 No. 1 (2025): Proceeding of the International Conference on Health Sciences and Nursing
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ichsn.v2i1.53

Abstract

This study examines the influence of leadership style and paramedic work motivation on the performance of general hospitals. The research aims to investigate how leadership approaches and motivation levels among paramedics affect hospital outcomes. Using a quantitative approach, data was collected from paramedics working in several general hospitals. The analysis included statistical methods such as regression analysis and mediation analysis to test the direct and indirect effects of leadership style and work motivation on hospital performance. The results showed that leadership style and work motivation significantly affect hospital performance. Specifically, effective leadership and high work motivation among paramedics contributed to improved hospital performance indicators. This study provides insights into how hospital management can improve performance by focusing on leadership development and motivation enhancement strategies. The findings highlight the importance of fostering a supportive leadership environment and promoting work motivation among paramedics to achieve better hospital performance.
The Relationship Between Hospital Service Quality Factors and Outpatient Satisfaction Among Patients with Type II Diabetes Mellitus Arianti Anaya; I Nyoman Ehrich Lister; Linda Chiuman; Chrimis Novalinda Ginting
Proceeding of the International Conference on Health Sciences and Nursing Vol. 2 No. 1 (2025): Proceeding of the International Conference on Health Sciences and Nursing
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ichsn.v2i1.55

Abstract

This study aimed to investigate the relationship between hospital service quality factors and outpatient satisfaction among Type II Diabetes Mellitus patients. The research employed a quantitative cross-sectional approach with a sample of 150 Type II Diabetes Mellitus outpatients selected through systematic random sampling from three public hospitals in Indonesia. Data were collected using validated questionnaires measuring five dimensions of hospital service quality: physical evidence, medical staff reliability, medical staff responsiveness, attention to patients, and comfort. Multiple linear regression analysis was used to examine the relationships between variables. Results revealed significant positive correlations between all service quality factors and outpatient satisfaction (p<0.05), with medical staff reliability (β=0.32) and attention to patients (β=0.28) demonstrating the strongest associations. The findings suggest that enhancing these service quality dimensions, particularly through improved medical staff competence and patient-centered care approaches, could significantly improve satisfaction among Type II Diabetes Mellitus outpatients. This study contributes to the growing body of evidence supporting the importance of service quality in chronic disease management within Indonesian healthcare settings.
Mapping the Number of Patients Undergoing Treatment and Care in Public Hospitals After the Covid-19 Pandemic Lenni Dianna Putri; Ermi Girsang; I Nyoman Ehrich Lister; Evizal Abdul Kadir
SISTEMASI Vol 15, No 6 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i6.6321

Abstract

The COVID-19 pandemic has had profound impacts on healthcare systems globally, altering the patterns of patient care and treatment in public hospitals. This research aims to map the number of patients undergoing treatment and care in public hospitals following the pandemic, providing insights into the evolving healthcare landscape. Utilizing data from public hospitals, we analyzed trends in patient admissions, treatment types, and care requirements post-pandemic. Our findings reveal a significant shift in healthcare demands, with an increase in patients requiring long-term care and treatment for chronic conditions exacerbated by delayed medical attention during the pandemic. Additionally, mental health services have seen a notable surge in utilization, reflecting the psychological toll of the pandemic. The research highlights the need for adaptive healthcare strategies to address the changing patient demographics and ensure efficient resource allocation. These insights can guide policymakers and healthcare providers in optimizing patient care and improving healthcare delivery in the post-pandemic era.