Objectives. The main objective was to assess the relationship between sociodemographic and occupational factors and stress levels among healthcare workers in family medicine in Bosnia and Herzegovina, using the PSS-10-BH scale. Materials and Methods. A cross-sectional study was conducted using the PSS-10-BH questionnaire distributed via Google Forms to primary care nurses and physicians between July and August 2022. Results. The study included 272 participants, with a mean age of 44.7 (±10.55), predominantly women (86.8%) and physicians (58.8%). The mean PSS-10-BH total score for the sample was 21.26 (±6.77) ranging from 3 to 36. The linear regression model indicated male gender and older age showed an association with slightly lower stress levels. Marital status and the number of children showed a slight positive association with stress levels. Oc- cupation (B=-3.068, 95%CI: -5.442 to -0.694, P=0.012) was associated with stress, with physicians tending to report lower stress levels compared to nurses. Years of work experience (B=0.060, 95%CI: -0.190 to 0.309, P=0.636), and patient load (B=0.082, 95%CI: 0.027 to 0.137, P=0.004) were associated with higher stress levels. The results suggest that work-related variables are significant predictors of stress levels as measured by the PSS-10-BH scale in this sample of healthcare workers. The included predictors explain 10% of the variability in the outcome, indicating additional unidentified contributing factors. Conclusion. Occupational factors, particularly profession, work experience, and daily patient load, significantly influence stress levels in healthcare workers. Further research is needed to explore other potential influences and refine interventions aimed at managing stress in this population.
Introduction: With the continuous aging of the population of Western societies, an increase is expected not only in the number of patients with diabetes but also in the number of patients with comorbidities. Population studies suggest that most patients with diabetes have at least one comorbidity. Comorbidities can profoundly impact a person’s ability to care for himself/herself and can present barriers to adherence to lifestyle changes and compliance with therapy. Methods: The research was conducted in the Public Institution Health Centre of Sarajevo Canton - Health Center Hadžići and Health Center Novi Grad. It included 161 patients diagnosed with diabetes; 96 women and 65 men.The respondents were between 18 and 65 years old (the upper age limit for the working population for both genders). The instruments for conducting the research were a questionnaire on the socio-demographic characteristics of the respondents and Ferrans and Powers index of quality of life, a version for diabetes. Results: The research included 43.48% of respondents with diabetes mellitus (DM) Type II, 31.06% with DM Type I, while even 25.46% of respondents did not know which type of diabetes they suffered from. There were no statistically significant differences in the Total Quality of Life Index (TQLI) (p=0.328) between respondents with different types of diabetes. The average TQLI value in the group with diabetes duration from 1 to 5 years was 22.07 +/- 5.10; in the group from 6 to10 years was 21.23 +/- 6.0; in the group from 11 to 20 years was 21.86 +/- 4.82; in the group from 21 to 30 years was 19.20 +/- 6.81; and in the group with diabetes duration >30 years, was 23.36 +/- 5.46. High blood pressure was present in 60.24% of respondents, followed by elevated blood fats in 51.55% of respondents, and heart/brain blood vessel diseases, in 43.48% of respondents. Neuropathies were present in 38.5%, visual impairment in 26.08%, and malignant diseases were present in a total of 14.28% of respondents. Conclusion: The average value of the quality of life of respondents with 1 comorbidity was 21.30; with 2 comorbidities 20.91; and with 3 comorbidities was 21.94. There was no statistically significant difference in the quality of life of diabetes patients about the presence of one, two, or more comorbidities (p=0.537). The presence of a greater number of comorbidities in patients with diabetes does not contribute to poor quality of life.
Introduction: the effects of malignant tumors of oral cavity may be reflected through mental, physical, social and emotional well-being and quality of life of patients. Those suffering from malignancies show a large degree of psychological problems (fear, anxiety, depression, panic disorders, phobias) both at the time of diagnosis and during the treatment. Aim: to determine a level of depression in patients with oral cavity cancer and to link quality of life and level of depression of patients with oral cavity cancer. Patients and methods: The study was conducted at the Clinic of Maxillofacial Surgery of the Clinical Center University of Sarajevo (CCUS) in the period from July to late October 2015, through a survey of patients with verified oral cavity cancer, questionnaire related to socio-demographic characteristics of the patients, the University of Washington Quality of Life Questionnaire (UW-QOL), and the Beck Depression Inventory (BDI). Results: Majority of patients from our study, specifically 50 (56%) of them, did not suffer from depression, 8 (9%) respondents suffered from mild depression, 14 (16%) respondents had moderate depression, whereas 17 (19%) of them had severe depression. Conclusion: quality of life and level of depression of patients with oral cavity cancer are in negative and almost linear correlation. The worse the evaluation results of one’s physical or socio-emotional health, the higher degree of depression.
Introduction: In recent years the quality of life of patients is very important in monitoring the treatment and therapeutic procedure success. It has become a significant factor in assessing the therapeutic procedure accomplishment, and for the first time the patient alone can access the success of the respective therapy. Cancer of the oral cavity is one of the most common cancers of the head and neck, and is one of the ten most common causes of death in the world. In the majority of cases, cancer of the oral cavity is detected in an advanced stage when therapeutic options are reduced, and the prognosis is much worse. Cancer of the oral cavity is 10 times more common in men. Assessment of quality of life should be an indicator of the multidisciplinary treatment success and it should point to areas in which the affected person requires support. Aim of the study: To examine the quality of life of patients with oral cavity cancer. Materials and methods: The study was conducted at the Clinic of Maxillofacial Surgery of the Clinical Center University of Sarajevo (CCUS), through a survey on patients with verified oral cavity cancer, questionnaire related to socio-demographic characteristics of the patients and the University of Washington Quality of Life Questionnaire (UW-QOL). The results were included in the database and statistically processed in the SPSS program, 19.0 version for Windows. Afterwards, the results were thoroughly analyzed and documented, presented in absolute numbers and statistical values using statistical indicators in simple and understandable tables and figures. Results: The study results showed that out of the total score of 100, the median value of quality of life of patients with oral cavity cancer, for the physical health component in the definition of quality was M=69.75 ±29.12 and for social-emotional health M=65.11 ± 27.47. Conclusion: This could be considered as satisfactory quality of life, in the sphere above half of the rating scale, although both values significantly deviate from the UW-QOL scale norm. Physical and socio-emotional health components are in a strong positive correlation, R2=0.750, p=0.0001.
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