Schizophrenia remains a global issue. More than half of those living with schizophrenia have yet to receive appropriate treatment that led to the impeded of their recovery and the low quality of life. This study aimed to understand the relationship between familial supports with the quality of life (QOL) of persons with schizophrenia. The cross-sectional study was conducted on randomly selected 161 outpatients at 13 community health centers (puskesmas). Family support and quality of life data were collected by interviewing the respondents with the Friedman’s family support questionnaire and WHO quality of life (WHOQOL-BREF) questionnaire. Subsequently, data was analyzed using logistic regression. The respondents have a mean age of 45 years, mostly males, have completed high school, mostly unemployed and unmarried. Instrumental (AOR=3.177; 95%CI 1.01-9.91) and appraisal support (AOR=7.620; 95%CI 2.83-20.4) were significantly associated with QOL. Conversely, no significant relationship was found between emotional (AOR=1.345; 95%CI 0.46-3.88) and informational (AOR=2.515; 95%CI 0.85-7.42) support toward QOL. Employment, being married and not experiencing relapse were significantly related to QOL. Instrumental support and appraisal support are important factors in determining the quality of life of persons with schizophrenia. Hence, the government needs to expand the roles of family and community to support these roles.
Several studies have found differences in the incidence of schizophrenia in rural and urban areas. Most of the studies found that schizophrenia incidence was higher in urban areas. The purpose of this study was to determine differences in sociodemographic characteristics of schizophrenic patients according to rural or urban conditions in their homes. An observational, cross-sectional analytic, study conducted. The sample in this study were 503 people who had been diagnosed with schizophrenia recorded at community health centres in Badung Regency until October 2019. Sociodemographic data of patients were observed and then grouped according to the residence of rural or urban patients. Chi-square test with a significant value of P <0.005 used to analyze the result. The proportion of schizophrenia is higher in urban than in rural areas (61.1%: 38.9%). There are differences in the incidence of men and women in villages and cities (p = 0.011), differences in rural and educational events low whereas in urban areas on the contrary (P <0.0001). More schizophrenic patients do not work and live in cities than in villages (p = 0.002) and that people who are not married and live in cities suffer more schizophrenia (p = 0.014), only the age group variable was no difference (p = 0.14). The incidence of schizophrenia is higher in urban areas with differences in characteristics found in variables of gender, education level, employment status and marital status. Thus, can be an input to the health department and staff so that psychological education and screening are more directed at urban communities. Keywords: Schizophrenia, rural, urban sociodemography
Background: Subdural hemorrhage (SDH) occurs due to the accumulation of abnormal blood under the dura mater, a protective layer of brain tissue under the calvarium due to the rupture of the bridging veins. The importance of hematological factors as parameters related to intracranial bleeding, one of which is SDH. Mean Platelet Volume (MPV) is one of the main parameters that reflect the function and activity of platelets. The relationship between MPV values and the incidence and outcome of SDH is not fully known. This study aims to determine the relationship between MPV and SDH outcomes for monitoring and prognostic purposes for SDH. Methods: This research is cross-sectional. This research was conducted based on data from medical records from inpatient installations at Prof. I.G.N.G Ngoerah General Hospital Denpasar with a total sample of 96 cases. The data included in the inclusion criteria were medical record data which contained information about research variables, which are gender, age, history of previous trauma, and the value of Mean Platelet Volume (MPV). This study included data on 96 patients with SDH who were admitted to the Inpatient Installation of Prof. I.G.N.G Ngoerah General Hospital from July 2018 to August 2021. All patients carried out routine blood tests in the first hours of hospitalization and the outcome was good (discharged alive) and poor (died) during hospitalization. The MPV value was converted into a nominal variable and its relationship with the outcome was assessed by bivariate analysis. Results: From data collection, 96 patients with SDH were treated at the inpatient installation of Prof. I.G.N.G Ngoerah General Hospital during that period. Distribution of patients based on the history of trauma most of the patients had a history of previous trauma 57 patients (59.4%) and 39 patients (40.6%) from this study denied any trauma, based on gender, 67 patients were men (69.7%), 40 of whom had traumatic SDH and 27 others had non-traumatic SDH. There were 29 women with subdural hemorrhage (30.2%), with 17 having traumatic SDH and 12 having non-traumatic SDH. From the results, it was found that the age group of SDH patients ≤ 60 years, was 32 patients (33.3%), where most (18 patients) had Non-traumatic SDH and 14 patients experienced traumatic SDH. While the age group of 60 years and over was more than 64 patients (66.7%), with 21 of them experiencing non-traumatic SDH and 43 others experiencing traumatic SDH. The overall outcome was that 57 patients were discharged alive and 39 died during hospitalization. A bivariate analysis test with Chi square to find the relationship between abnormal MPV values with good and poor outcomes of SDH showed no significant relationship between the two variables (p = 1,000). Conclusion: Based on the results of this study, the value of the Mean Platelet Volume was not significantly associated with the outcome in patients with Subdural hemorrhage. Keywords: Subdural hemorrhage (SDH), Mean Platelet Volume (MPV), Outcome, prognosis
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.