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Ponte Academic Journal
Oct 2016, Volume 72, Issue 10

FACTOR ANALYSIS OF HEALTHCARE SERVICE QUALITY IN MEDAN�S GOVERNMENT HOSPITAL

Author(s): Prihatin Lumbanraja ,Arlina Nurbaity Lubis, Rodiah Rahmawaty Lubis, Beby Kendida Hasibuan

J. Ponte - Oct 2016 - Volume 72 - Issue 10
doi: 10.21506/j.ponte.2016.10.11



Abstract:
Service sector increases rapidly especially in Indonesia. This can be seen from the distribution of the percentage of Product Domestic Bruto (PDB) based on job vacancy showing that the service sector contribution approaches 50%. One of the service/care industries with rapid growth is healthcare service. It can be seen from the government plan year 2015-2016 to do healthcare reinforcement. Generally, healthcare is identically related to hospital. A hospital is a professional healthcare institution in which its service is provided by doctors, nurses, and other healthcare providers. Among the numerous competitions of hospital industries until now, there are still many people who choose to go overseas to get medication; this is related to the point of view that the quality of the domestic medical service is worse than what is provided in Singapore or Malaysia. This is indicated by the more sophisticated medical equipment and clearer operational procedure standard, so that the diagnosis can be faster and more accurate. It is estimated that each year there are �600.000 Indonesian people go to Malaysia and Singapore to get check-ups and �100.000 of them are from North Sumatera (Malaysia Tourism Board Medan, 2005). This research aims at identifying and analyzing the factors that influence the quality of healthcare in public hospitals in the town. This research employs the method of descriptive quantitative approach. The steps of the activities that will be conducted are 1. Identifying various indicators and dimensions of the quality of healthcare in the hospital using survey method and literature review. 2. Evaluating the indicators and dimensions using factor analysis. This factor analysis shows 12 factors forming that can explain 77.98% of the data variance. The twelve factors are factor 1 patient educational services, factor 2 staff professionalism, factor 3 food aspect, factor 4 assurance, factor 5 responsiveness and convenience services, factor 6 empathy, factor 7 cleanliness, factor 8 well educated staff, factor 9 patient trust, factor 10 reliability, factor 11 Parking area, factor 12 Patient privacy. However, the 11th and 12th factors cannot be stated as factors because they only cover less than three indicators, so that the service quality forming consists of ten factors only.
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