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1.
Singapore medical journal ; : 653-658, 2013.
Article in English | WPRIM | ID: wpr-337839

ABSTRACT

<p><b>INTRODUCTION</b>The location of ambulance stations are of great importance, as location is a determining factor of whether ambulances are able to respond to emergency calls within the critical period. The aim of the present study was to determine whether the ambulance stations in the provincial centre of Samsun, Turkey, were able to cover their entire operational area within 10 mins of receiving an emergency call.</p><p><b>METHODS</b>This study was based on emergency calls received by the emergency medical services of the study area. Detailed address data from the calls was used to produce thematic maps using the geographic information system (GIS). Buffer analysis was used to determine the adequacy of the stations' locations in relation to the time taken to respond to the emergency calls.</p><p><b>RESULTS</b>In the study area, there were a total of 11,506 emergency ambulance calls made in 2009, which revealed a call density of 0.7 calls per ha and 23.8 calls per 1,000 population. A total of 75.8% of the calls were made due to medical reasons, while 11.6% were related to traffic accidents. The GIS-based investigation revealed that the 10-min coverage areas for the four ambulance stations in the provincial centre of Samsun served 76.9% of the area and 97.9% of its population. Of the 10,380 calls for which detailed address data were available, 99.2% were within the stations' 10-min coverage areas.</p><p><b>CONCLUSION</b>According to the buffer analysis, the ambulance stations in the provincial centre of Samsun are able to reach 97.9% of the population within the critical 10-min response time. This study demonstrates that GIS is an indispensable tool for processing and analysing spatial data, which can in turn aid decision-making in the field of geographical epidemiology and public health.</p>


Subject(s)
Humans , Ambulances , Emergency Medical Service Communication Systems , Emergency Medical Services , Geographic Information Systems , Risk Factors , Rural Health Services , Time Factors , Turkey
2.
Chinese Medical Journal ; (24): 3705-3711, 2013.
Article in English | WPRIM | ID: wpr-236185

ABSTRACT

<p><b>BACKGROUND</b>Juvenile Fibromyalgia Syndrome (JFMS) is a chronic health condition characterized by widespread musculoskeletal pain and multiple tender points (TP). The objective of this study was to determine the prevalence of JFMS in the urban population of Samsun and to determine the impact of JFMS on depression symptoms, school performance and quality of life (QOL).</p><p><b>METHODS</b>A cross-sectional study was conducted in 1109 children (mean age (14.8 ± 2.0) years old). A questionnaire was applied to the children and a medical examination including TP was performed. Yunus and Masi's criteria were used for diagnosis of JFMS. The children with JFMS were compared with an age and sex matched non-JFMS group. Depression was assessed with Children's Depression Inventory (CDI) and QOL was evaluated with Pediatric Quality of Life Inventory 4.0 (PedsQL4.0).</p><p><b>RESULTS</b>Sixty-one (5.5%) (13 boys and 48 girls) of 1109 children met the diagnostic criteria of JFMS. While PedsQL scores of children with JFMS were lower than the non-JFMS group for physical, emotional, social, school functioning and total score (P = 0.001), CDI total score was higher in the JFMS group than in the non-JFMS group (P = 0.001). The JFMS group reported more school absences (P = 0.001) and the average school grade was lower in the JFMS group than in the non-JFMS group (P = 0.03).</p><p><b>CONCLUSION</b>The prevalence of JFMS is high in school age children. Since JFMS is a common problem of childhood, early diagnosis and identification of the disorder and more comprehensive and successful treatment approaches with appropriate psychological assistance may prevent more complex and severe problems in adulthood.</p>


Subject(s)
Adolescent , Female , Humans , Male , Cross-Sectional Studies , Depression , Fibromyalgia , Epidemiology , Psychology , Prevalence , Quality of Life , Surveys and Questionnaires , Syndrome , Turkey , Epidemiology , Urban Population
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