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@#Introduction: The number of inpatient visiting the Bhayangkara Level III Hospital in Kendari City in 2016 was 2322 people, in 2017 there were 3611 people, in 2018 there were 3488 people and from January to November 2019 there were 4243 people. Methods: This research uses descriptive analysis method with a quantitative approach. This research is a case study of the service quality of the Bhayangkara Level III Kendari Hospital. In this study, the sample was taken using simple random sampling technique, in which each element was selected randomly. Results: There are 25 customer requirements for services in the Inpatient Installation of Bhayangkara Hospital, Kendari City which can be categorized into 8 dimensions of service quality according to Brown with priority order based on the level of importance (Tke), namely: 1) Safety Dimensions (98.6%); 2) Dimensions of Interpersonal Relations (98.6%); 3) Dimensions of Continuity (97.1%); 4) Dimension of Effectiveness (97.1%); 5) Efficiency Dimension (97.1%); 6) Dimension of Convenience (97.1%); 7) Dimensions of Access to Services (92.9%) and 8) Dimensions of Officer Competence (92.9%). Conclusion: According to the results of this research it is found that nurses did not take special time to communicate with patients. The officers were warm to patients, doctors always heard complaints and stories of patients, pharmacy officers always prayed for patients to get well soon.
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@#Introduction: Chronic kidney disease is a public health problem in the world which is increasing every year. Hemodialysis is one of the methods commonly used for patients with end-stage chronic kidney disease. However, hemodialysis does not cure the disease and requires long term therapy. So, the patient's decision whether to undergo hemodialysis, is crucial. Methods: This study is aimed to identify the factors associated with decision making in patients with end-stage chronic kidney disease undergoing hemodialysis in the Bahteramas General Hospital of Southeast Sulawesi Province, Indonesia. This study is a descriptive-analytic study using a cross-sectional design to observe the relationship between patients' decision making for hemodialysis. Results: A total of 34 patients with end-stage chronic kidney disease were chosen by accidental sampling technique. Analysis of the data was done by the Chi-Square test. The results of this study showed that age, level of knowledge, and family support have a significant relationship with the patient's decision for hemodialysis. The distance of home and economic status showed no relationship with the patient's decision to undergo hemodialysis. Conclusion: Based on the results of this study it can be concluded that age, level of knowledge and family support is related to the patient's decision to hemodialysis in the Bahteramas General Hospital of Southeast Sulawesi Province.
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@#Introduction: Worldwide, breast cancer is the most life-threatening disease among women. There is always high search to find a cure for cancer. Plant compounds have been identified that they have anti-cancer properties. Therefore, phyto-compounds can be potential for the development of new drugs. In this research, three-dimensional (3D) structure of breast cancer cell line proteins, tumor suppressor gene (p53), caspase-3 and retinoblastoma-1 were generated and docking with plant compounds (garcinone E, triterpenoid and gallic acid respectively) was studied. Methods: The three-dimensional models of proteins were built using SWISS model. Then, the physical and chemical characters of the protein models were determined using ExPASy - ProtParam tool. Next, the proteins were assessed using validation tools such as PROCHECK, ProQ, ERRAT and Verify 3D programs. Results: The results show that the proteins were stable. Lastly, the protein models were docked successfully with garcinone E, triterpenoid and gallic acid respectively using BSP-slim server. The docking scores of the protein-phyto-compound complexes (p53-garcinone E, caspase-3- triterpenoid and Rb1-gallic acid) were 3.873, 4.321 and 3.051 respectively. The proteins had a stable bond with phyto-compounds. Conclusion: The study of the protein-phyto-compound complex interaction will aid in designing new clinical drugs.