Gamze Acavut, Ilknur Yesilcinar, Meltem Uğurlu, K. E. Karaşahin
{"title":"Awareness of pregnant women about glucose tolerance test and the effect of media on test preferences","authors":"Gamze Acavut, Ilknur Yesilcinar, Meltem Uğurlu, K. E. Karaşahin","doi":"10.52880/sagakaderg.878436","DOIUrl":"https://doi.org/10.52880/sagakaderg.878436","url":null,"abstract":"Introduction: Gestational diabetes mellitus (GDM) is a serious problem that threatens maternal and neonatal health. It is recommended to have an oral glucose tolerance test (OGTT) at 24-28 weeks of gestation. Recently, perceptions and preferences of pregnant women about GDM screening may be affected by the news in the media. In this study, it was aimed to determine the awareness of pregnant women about GDM screening and the effect of the media on their test preferences.\u0000Material and Method: This descriptive study was conducted with a total of 111 pregnant women who applied to the pregnancy outpatient clinic of an education and research hospital in Ankara between June and December 2017 and who were admitted in the first 28 weeks of gestation. “Data Collection Form” created by the researchers was used to collect the data. Research data were analyzed by SPSS 22.00. Number, percentage and mean+standard deviation were used for descriptive statistics.\u0000Finding: The average age of pregnant women participating in the study is 29.72 (± 5.78) and 45.9% of them are their first pregnancy. 38.7% of the participants stated that they have diabetes mellitus diagnosed in their family. 12.6% of the participants stated that they do not know OGTT. They were asked whether they had OGTT before and 12.7% stated that they did not do it with statements such as \"I did not see it, I did not want it and I did not do it because I thought it was harmful\". 64% of all participants stated that they received information about this test and 34.2% stated that the source of information was doctor, 26.1% internet and 13.5% nurse. 38.7% of the pregnant women stated that they watch TV for 1-2 hours a day, and 28.8% for 2-4 hours. Participants stated that TV programs can affect their health-related decisions, albeit a little. Pregnant women were asked about their decision to have OGTT, 17.1% of them stated that they would not have OGTT.\u0000Conclusion: It was determined that the knowledge and awareness of pregnant women about OGTT was not at the desired level, and the media affected their decision-making a little.","PeriodicalId":277324,"journal":{"name":"Health Care Academician Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114479178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Health Professionals’ perceptions of organizational ethical climate","authors":"M. Özer, Ayten Dinç","doi":"10.52880/sagakaderg.1000065","DOIUrl":"https://doi.org/10.52880/sagakaderg.1000065","url":null,"abstract":"Amaç: Bu çalışma sağlık çalışanlarının örgütsel etik iklim algısını belirlemek amacıyla yapılmıştır. Metod: Kesitsel ve tanımlayıcı nitelikteki bu araştırma 1 Mart 2019- 23 Mart 2019 tarihleri arasında Gooogle formlar aracılığıyla uygulanmıştır. Çalışmanın evrenini Türkiye’de farklı sağlık kuruluşlarında çalışan sağlık çalışanları, örneklemini ise araştırmaya katılmayı kabul eden 445 kişi oluşturmuştur. Veriler Kişisel Bilgi Formu ve Örgütsel Etik İklim (ÖEİ) ölçeği ile toplanmıştır. Verilerin analizinde; sayı, yüzde, Mann Whitney U testi ve Kruskall Wallis H testleri kullanılmıştır. Bulgular: Yaş ortalaması 31,9 ± 8,1 olan katılımcıların %75,3’ü kadın, %24,7’si erkek ve %54,4’ü lisans mezunudur. Mesleklerine göre; %24,7’si acil tıp teknisyeni/paramedik, %15,7’si ebe ve %59,6’sı ise hemşire/sağlık memurudur. Katılımcıların %57,7’si 0-5 yıl arası çalışmaktadır. Katılımcıların ÖEİ ölçeği toplam puan ortalaması 118,5 ± 23,7 (Min 40-Max 179) olarak bulunmuştur. Alt boyut ortalamaları sırasıyla; ilkeli etik iklim 40,3±8,2 (Min 14-Max 60), egoist etik iklim 40,0±7,8 (Min 12-Max 60), yardımseverlik etik iklim, 38,2±10,8 (Min 12-Max 60), olarak dağılım gösterdiği bulunmuştur. Sağlık çalışanlarının örgütsel etik iklim algısı üzerine sosyodemografik özelliklerden; yaş, eğitim durumu, medeni durum, meslekte çalışma süresinin etkili olduğu bulunmuştur (p","PeriodicalId":277324,"journal":{"name":"Health Care Academician Journal","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123003436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Melek Terzi̇, Mehmet Nurullah Kurutkan, D. Şahin, Oğuz Kara
{"title":"Unmet Medical Care Needs Due To Payment Difficulty","authors":"Melek Terzi̇, Mehmet Nurullah Kurutkan, D. Şahin, Oğuz Kara","doi":"10.21203/rs.3.rs-38595/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-38595/v1","url":null,"abstract":"\u0000 Objective: This study aims to determine the effects of chronic diseases and socio-economic factors on payment difficulty in medical care.Methods: The variables used in the analysis were obtained from the “2016 TURKSTAT Health Survey” micro data set. Three models were established to determine the degree of chronic disease data and socio-economic variables affecting the payment difficulty in medical care. Binary Logit Regression analysis was used to analyze the models.Findings: In terms of payment difficulty in medical care; age, education, household income, social security institution (SGK) treatment cost, general health insurance (GSS) treatment cost, other treatment cost, reason for not working, work continuity, working method, overall health status, being sick longer than 6 months, vital activity restriction, asthma, bronchitis, coronary heart failure, arthrosis, waist and neck disorders, allergy, liver failure, kidney disease, depression, other chronic diseases, wearing glasses, physical pain state, pain preventing life, feeling worthless, receiving bed service for the last 12 months, receiving daily service for the last 12 months, drug use by his own decision, cholesterol measurement status, blood glucose measurement status, stool occult blood test measurement status, being late for appointment, payment difficulty in dental care, in drug and in spiritual treatment, tobacco use status and exposure to tobacco smoke were effective (p<0,05). According to Cohen d, the groups with the strongest effect on payment difficulty in medical care are payment difficulty in dental care, drug and spiritual treatment, delay due to transportation, depression and chronic bronchitis (E.B. > 0,8).Conclusions: According to the results of the research, it was determined that chronic diseases and socio-economic variables are effective in the payment difficulty of medical care. Policymakers can benefit from evidence-based on econometric models of the comparative burden of different chronic conditions, demographic and economic structure.","PeriodicalId":277324,"journal":{"name":"Health Care Academician Journal","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128324595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}