İŞE BAĞLILIĞIN TÜKENMİŞLİK VE DEPRESYON DÜZEYLERİ ÜZERİNDEKİ ETKİLERİ: SAĞLIK ÇALIŞANLARI ÜZERİNDE BİR ARAŞTIRMA THE EFFECTS OF WORK COMMITMENT ON THE LEVELS OF BURNOUT AND DEPRESSION: A RESEARCH ON THE HEALTH CARE EMPLOYEES

2014 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Haluk TANRIVERDİ ◽  
Mucize SARIHAN
Keyword(s):  
Health Care ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Health Workers ◽  
Personal Information ◽  
Depression Scale ◽  
Work Commitment ◽  
Statistical Software ◽  
Health Care Employees ◽  
Training And Research

The main purpose of this study is to examine the effects of health workers’ levels of work commitment on the levels of depression and burnout.  Having this purpose in mind, a questionnaire consisting of personal information form, work commitment scale, burnout scale and depression scale was conducted with 266 health workers of İstanbul Kartal Training and Research Hospital in May 2013. Data obtained from questionnaires were analyzed by SPSS 17,0 statistical software. Correlation analysis was utilized in order to determine the relationships among work commitment, burnout and depression levels of health workers whereas regression analysis was utilized in order to determine the effects of health workers’ levels of work commitment on the levels of depression and burnout. According to the results, it has been found that there are statistically relevant relationships among work commitment, burnout and depression levels of health workers. It has been concluded that the more health workers’ levels of work commitment increase, their levels of depression and burnout decrease.

İŞE BAĞLILIĞIN TÜKENMİŞLİK VE DEPRESYON DÜZEYLERİ ÜZERİNDEKİ ETKİLERİ: SAĞLIK ÇALIŞANLARI ÜZERİNDE BİR ARAŞTIRMA

2014 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Haluk TANRIVERDİ ◽  
Mucize SARIHAN
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Health Workers ◽  
Personal Information ◽  
Depression Scale ◽  
Work Commitment ◽  
Statistical Software ◽  
Research Hospital ◽  
Training And Research

The main purpose of this study is to examine the effects of health workers’ levels of work commitment on the levels of depression and burnout.  Having this purpose in mind, a questionnaire consisting of personal information form, work commitment scale, burnout scale and depression scale was conducted with 266 health workers of İstanbul Kartal Training and Research Hospital in May 2013. Data obtained from questionnaires were analyzed by SPSS 17,0 statistical software. Correlation analysis was utilized in order to determine the relationships among work commitment, burnout and depression levels of health workers whereas regression analysis was utilized in order to determine the effects of health workers’ levels of work commitment on the levels of depression and burnout. According to the results, it has been found that there are statistically relevant relationships among work commitment, burnout and depression levels of health workers. It has been concluded that the more health workers’ levels of work commitment increase, their levels of depression and burnout decrease.

scholarly journals The Role of Campus Data in Representing Depression Among College Students: Exploratory Research (Preprint)

2018 ◽  
Author(s):  
Guang Mei ◽  
Weisheng Xu ◽  
Li Li ◽  
Zhen Zhao ◽  
Hao Li ◽  
...  
Keyword(s):  
Academic Performance ◽  
Depressive Symptoms ◽  
Correlation Analysis ◽  
Personal Information ◽  
Influencing Factor ◽  
Depression Scale ◽  
Machine Learning Algorithms ◽  
Daily Routine ◽  
Exploratory Research ◽  
Online Questionnaire

BACKGROUND Depression is a predominant feature of many psychological problems leading to extreme behaviors and, in some cases, suicide. Campus information systems keep detailed and reliable student behavioral data; however, whether these data can reflect depression and we know the differences in behavior between depressive and nondepressive students are still research problems. OBJECTIVE The purpose of this paper is to investigate the behavioral patterns of depressed students by using multisource campus data and exploring the link between behavioral preferences and depressive symptoms. The campus data described in this paper include basic personal information, academic performance, poverty subsidy, consumption habit, daily routine, library behavior, and meal habit, totaling 121 features. METHODS To identify potentially depressive students, we developed an online questionnaire system based on a standard psychometric instrument, the Zung Self-Rating Depression Scale (SDS). To explore the differences in behavior of depressive and nondepressive students, the Mann-Whitney U test was applied. In order to investigate the behavioral features of different depressive symptoms, factor analysis was used to divide the questionnaire items into different symptom groups and then correlation analysis was employed to study the extrinsic characteristics of each depressive symptom. RESULTS The correlation between these factors and the features were computed. The results indicated that there were 25 features correlated with either 4 factors or SDS score. The statistical results indicated that depressive students were more likely to fail exams, have poor meal habits, have increased night activities and decreased morning activities, and engage less in social activities (eg, avoiding meal times with friends). Correlation analysis showed that the somatic factor 2 (F4) was negatively correlated with the number of library visits (<i>r</i>=–.179, <i>P</i>&lt;.001), and, compared with other factors, had the greatest impact on students’ daily schedule, eating and social habits. The biggest influencing factor to poor academic performance was cognitive factor F1, and its score was found to be significantly positively correlated with fail rate (<i>r</i>=.185, <i>P</i>=.02). CONCLUSIONS The results presented in this study indicate that campus data can reflect depression and its symptoms. By collecting a large amount of questionnaire data and combining machine learning algorithms, it is possible to realize an identification method of depression and depressive symptoms based on campus data.

scholarly journals The Role of Campus Data in Representing Depression Among College Students: Exploratory Research

10.2196/12503 ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. e12503 ◽  
Author(s):  
Guang Mei ◽  
Weisheng Xu ◽  
Li Li ◽  
Zhen Zhao ◽  
Hao Li ◽  
...  
Keyword(s):  
Academic Performance ◽  
Depressive Symptoms ◽  
Correlation Analysis ◽  
Personal Information ◽  
Influencing Factor ◽  
Depression Scale ◽  
Machine Learning Algorithms ◽  
Daily Routine ◽  
Exploratory Research ◽  
Online Questionnaire

Background Depression is a predominant feature of many psychological problems leading to extreme behaviors and, in some cases, suicide. Campus information systems keep detailed and reliable student behavioral data; however, whether these data can reflect depression and we know the differences in behavior between depressive and nondepressive students are still research problems. Objective The purpose of this paper is to investigate the behavioral patterns of depressed students by using multisource campus data and exploring the link between behavioral preferences and depressive symptoms. The campus data described in this paper include basic personal information, academic performance, poverty subsidy, consumption habit, daily routine, library behavior, and meal habit, totaling 121 features. Methods To identify potentially depressive students, we developed an online questionnaire system based on a standard psychometric instrument, the Zung Self-Rating Depression Scale (SDS). To explore the differences in behavior of depressive and nondepressive students, the Mann-Whitney U test was applied. In order to investigate the behavioral features of different depressive symptoms, factor analysis was used to divide the questionnaire items into different symptom groups and then correlation analysis was employed to study the extrinsic characteristics of each depressive symptom. Results The correlation between these factors and the features were computed. The results indicated that there were 25 features correlated with either 4 factors or SDS score. The statistical results indicated that depressive students were more likely to fail exams, have poor meal habits, have increased night activities and decreased morning activities, and engage less in social activities (eg, avoiding meal times with friends). Correlation analysis showed that the somatic factor 2 (F4) was negatively correlated with the number of library visits (r=–.179, P<.001), and, compared with other factors, had the greatest impact on students’ daily schedule, eating and social habits. The biggest influencing factor to poor academic performance was cognitive factor F1, and its score was found to be significantly positively correlated with fail rate (r=.185, P=.02). Conclusions The results presented in this study indicate that campus data can reflect depression and its symptoms. By collecting a large amount of questionnaire data and combining machine learning algorithms, it is possible to realize an identification method of depression and depressive symptoms based on campus data.

scholarly journals PENINGKATAN PENGETAHUN MASYARAKAT TERKAIT PENTINGNYA REKAM MEDIS BAGI PASIEN DI FASILITAS PELAYANAN KESEHATAN

2021 ◽  
Vol 5 (1) ◽  
pp. 163
Author(s):  
Romaden Marbun ◽  
Rea Ariyanti ◽  
Vincensia Dea
Keyword(s):  
Health Care ◽  
Health Service ◽  
Medical Record ◽  
Medical Records ◽  
Health Workers ◽  
Personal Information ◽  
Care Facility ◽  
Health Care Facilities ◽  
Public Knowledge ◽  
Maximum Point

ABSTRAKRekam medis merupakan bagian dari arsip yang menggambarkan segala aktivitas sebuah fasilitas pelayanan kesehatan dalam kurun waktu tertentu. Rekam Medis ialah berkas yang berisikan catatan dan dokumen tentang identitas pasien, pemeriksaan, pengobatan, tindakan, dan pelayanan lain yang telah diberikan kepada pasien. Rekam medis ini memiliki fungsi penting bagi pasien dan juga dokter. Oleh karena itu pengisian rekam medis ini harus lengkap dan tidak boleh ditunda pengisiannya baik bagi pasien ataupun tenaga kesehatan. Namun, banyak masyarakat yang belum mengetahui fungsi penting dari melengkapi rekam medis dan keterbukaan informasi pribadinya yang harus diberikan kepada fasilitas pelayanan kesehatan bahkan tenaga kesehatan yang merawatnya dalam menunjang mutu informasi pada rekam medis tersebut. Tujuan kegiatan ini adalah meningkatkan pengetahuan masyarakat khususnya RT 09 Kelurahan Bandulan Kota Malang tentang pentingnya rekam medis bagi masyarakat yang berobat di fasilitas pelayanan kesehatan. Metode penyuluhan dilakukan secara tidak langsung atau dalam jaringan (daring) dengan berkoordinasi via online grup whatsapp selama 3 kali pertemuan serta dikirimkan materi presentasi serta video pembelajaran. Masyarakat yang terlibat sebanyak 34 orang. Tahap evaluasi dilakukan melalui google form. Hasil kegiatan diperoleh peningkatan pengetahuan masyarakat dari rata-rata 37,53 menjadi 79,06 dengan point maksimal 100. Kegiatan berjalan dengan baik dan perlu adanya monitoring lebih lanjut. Kata kunci: pengetahuan; masyarakat; rekam medis; fasilitas pelayanan kesehatan. ABSTRACTThe medical record is part of the archive that describes all the activities of a health care facility within a certain period of time. Medical Record is a file that contains records and documents about the patient's identity, examination, treatment, action, and other services that have been provided to the patient. This medical record has an important function for patients as well as doctors. Therefore, the filling of this medical record must be complete and the filling should not be delayed either for the patient or the health worker. However, many people do not know the important function of completing medical records and the disclosure of personal information that must be provided to health care facilities and even health workers who take care of them in supporting the quality of information in the medical record. The purpose of this activity is to increase public knowledge, especially RT 09 RW 05 Kelurahan Bandulan Malang City about the importance of medical records for people who seek treatment at health service facilities. The counseling method is carried out indirectly or online by coordinating via online WhatsApp groups for 3 meetings and sending presentation materials and learning videos. There were 34 people involved. The evaluation stage is carried out through a google form. The results of the activity obtained an increase in public knowledge from an average of 37.53 to 79.06 with a maximum point of 100. The activity went well and needed further monitoring. Keywords: knowledge; public; medical records; health service facilities.

scholarly journals Psychological impact of COVID-19 pandemic on frontline health care workers in Bangladesh: A cross-sectional study

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S232-S233
Author(s):  
Suman Ahmed ◽  
Mohammad Shamsul Ahsan ◽  
Rubaiya Khan ◽  
Mahbubul Hasan ◽  
Fahmida Ferdous ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Regression Analysis ◽  
Health Care Workers ◽  
Health Care Professionals ◽  
Health Workers ◽  
P Value ◽  
Cross Sectional ◽  
Frontline Health Workers ◽  
Care Workers

AimsFrontline health care workers exposed to COVID-19 patients could be at increased risk of developing psychological issues. The study aimed to estimate the prevalence of mental health-related problems, specifically depression, anxiety, post-traumatic stress disorder (PTSD), and insomnia among health care professionals during the COVID-19 pandemic in Bangladesh and to compare these between medical and allied health care professionals.MethodThis cross-sectional survey was conducted using Google Form then subsequent telephone interview between June and August 2020. Using random sampling, a total of 479 health care professionals participated in the study. We collected data on demographics. Anxiety and depression were measured using 4 items Patient Health Questionnaire-4 (PHQ-4), PTSD was measured using 4 items Primary Care (PC)-PTSD-Screen, and insomnia was measured by using a 7-item Insomnia Severity Index (ISI). A multivariable logistic regression analysis was performed to assess risk factors associated with mental health symptoms.ResultOverall, 17.6% of frontline health workers had symptoms of anxiety, 15.5% had depression symptoms, 7.6% had PTSD symptoms and 5.9% had symptoms of insomnia. Compared to allied health professionals (n = 113, 24%), doctors (n = 366, 76%) had significantly higher prevalence of anxiety: 21.1% vs 06%, (OR = 4.19; 95% CI = 1.88–9.35; p-value <0.001); depression: 18% vs 6.8%, (OR = 2.99; 95% CI = 1.40–6.42; p-value 0.005); PTSD: 9.4% vs 1.7%, (OR = 5.96; 95% CI = 1.41–25.11; p-value 0.015) and insomnia: 7.4% vs 0.9%, (OR = 9.22; 95% CI = 1.24–68.4; p-value 0.03). Logistic regression analysis showed that pre-existing medical illness has significantly more risks of developing symptoms of anxiety (adjusted OR = 2.85; 95% CI = 1.71–4.76; p-value <0.001) and depression (OR = 2.29; 95% CI = 1.39–3.77; p-value 0.001). Having a postgraduate degree (adjusted OR = 6.13; 95% CI = 1.28–29.28; p-value 0.023) and working in secondary care setting (adjusted OR = 3.08; 95% CI = 1.18–8.02; p value 0.021) have significant predictors of developing anxiety symptoms among health workers. Those who had worked more than 6 weeks in COVID-19 dedicated hospitals had risk of developing symptoms of PSTD (OR = 2.83; 95% CI = 1.35–5.93; p value 0.006) and insomnia (OR = 2.63; 95% CI = 1.15–6.02; p value 0.022).ConclusionOur study demonstrated a high prevalence of symptoms of depression, anxiety, PTSD, and insomnia among Bangladeshi frontline health workers (particularly among doctors) during the COVID-19 pandemic. There is an urgent need to address the mental health needs of frontline health workers.Funding: Medical Research Council, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh.

scholarly journals Depression and Anxiety in Health Care Workers during COVID-19

BioMedica ◽  
2020 ◽  
Vol 36 (2S) ◽  
pp. 247-252
Author(s):  
Muntazir Mehdi ◽  
Muhammad Waseem ◽  
Muhammad Hassam Rehm ◽  
Nauman Aziz ◽  
Sagheer Anjum ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Health Workers ◽  
Influence Factors ◽  
Depression Scale ◽  
Depression And Anxiety ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Care Workers ◽  
Married Individuals

<p><strong>Background and Objective: </strong>Pakistan has been sternly affected by COVID-19 (Coronavirus Disease 2019) since March, 2020. This study was intended to evaluate the mental health among health care workers throughout the epidemic and to sight see the possible influence factors. <strong>Methods: </strong>A web-based cross-sectional survey composed of n = 237 self-selected health care workers was conducted. Their demographics, COVID-19 associated knowledge, Hospital Anxiety and Depression Scale (HADS) were noted. <strong>Results: </strong>This study received n = 237 responses. A total of (59%) of the participants belonged to age group 20-30 years. Females (56.3%) were more among all of them. Regarding marital status, (44.5%) were unmarried. Out of n = 237 participants, there were (62%) doctors, (34%) nurses and (4%) paramedical staff. Depression and anxiety prevailed in about (34.6%) and (42.2%) of participants respectively. Moderate depression was reported equally by doctors and nurses. Severe anxiety was found in (25%) while borderline anxiety in (17%) of all the participants. Nurses reported more severity in depression while comparing to doctors. <strong>Conclusion:</strong> Females were slightly more depressed than males and anxiety was more common than depression especially in health workers from Sahiwal. Depression was seen more commonly in married individuals while comparing to singles. Risk of transmission of COVID-19 to family was most stressful for the participants and more than half of them affirmed it.</p>

Model for early assessment of burn out syndrome in health care employees

2012 ◽  
Author(s):  
Drozdstoj Stoyanov ◽  
Ralitsa Raycheva ◽  
Donka Dimitrova
Keyword(s):  
Health Care ◽  
Early Assessment ◽  
Health Care Employees ◽  
Burn Out

Incidence of depression and its influencing factors in 387 patients with asthma from Xinjiang, China

2020 ◽  
Vol 41 (2) ◽  
pp. e45-e53 ◽  
Author(s):  
Dilinuer Wufuer ◽  
Haidiya Aierken ◽  
Yan Fang ◽  
Mihereguli Simayi ◽  
Kelibiena Tuerxun ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Depression Scale ◽  
High Morbidity ◽  
Hamilton Depression Scale ◽  
Multiple Factors ◽  
Asthma Symptoms ◽  
Depression Status ◽  
Treatment Of Depression ◽  
Quality Life

Background: Our study aimed to investigate the incidence of depression in 387 patients with asthma. Methods: The Zung self-rating depression scale and the Hamilton depression scale were used to evaluate the depression status in patients with asthma. Results: Results of logistic regression analysis indicated that, severity of asthma symptoms, taking medicine, frequency of asthma onset, and lack of education were the major risk factors for depression in patients with asthma. Conclusion: Depression is a complication with high morbidity in patients with asthma. It largely affects disease control of asthma and the quality life in patients. Multiple factors are relevant for depression in the patient with asthma. This study provided a comprehensive horizon for clinical management and treatment of depression in patients with asthma.

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