Prevalence and risk factors of health care–associated infections in a limited resources country: A cross-sectional study

2019 ◽  
Vol 47 (8) ◽  
pp. 945-950 ◽  
Author(s):  
Houda Ben Ayed ◽  
Sourour Yaich ◽  
Maroua Trigui ◽  
Maissa Ben Jemaa ◽  
Mariem Ben Hmida ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Cross Sectional Study ◽  
Limited Resources ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health Care Associated Infections

Predictors of female health care providers' knowledge on symptoms and risk factors of ovarian cancer: A tertiary health care institutional based cross-sectional study

2020 ◽  
Vol 29 (4) ◽  
pp. 582
Author(s):  
EmmanuelObiora Izuka ◽  
ObinnaChinedu Nwafor ◽  
JosephTochukwu Enebe ◽  
IfeanyichukwuJude Ofor ◽  
ChineloElizabeth Obiora-Izuka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ovarian Cancer ◽  
Health Care ◽  
Health Care Providers ◽  
Cross Sectional Study ◽  
Care Providers ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Isolation measures and protection awareness are significant for latent tuberculosis infection: a cross-sectional study based on T-SPOT.TB among health care workers in China

2019 ◽  
Vol 147 ◽  
Author(s):  
Yunfeng Deng ◽  
Yun Liu ◽  
Yan Li ◽  
Hui Jing ◽  
Yan Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Health Care Workers ◽  
Healthcare Service ◽  
Latent Tuberculosis Infection ◽  
Latent Tuberculosis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Care Workers

AbstractThis study aimed to reveal the associated risk factors for latent tuberculosis infection (LTBI) detected by T-SPOT.TB assay among health care workers (HCWs) at different working locations or job categories in China. This cross-sectional study included 934 HCWs who underwent the T-SPOT.TB assay. Demographic and social characteristics of the participants, including age, sex, job categories, department/ward and duration of healthcare service, were recorded. Among 934 HCWs, 267 (28.5867%) were diagnosed as having LTBI with positive T-SPOT.TB assay. HCWs working in inpatient tuberculosis (TB) (odds ratio (OR) 2.917; 95% confidence interval (CI) 1.852–4.596; P < 0.001) and respiratory wards (OR 1.840; 95% CI 1.124–3.011; P = 0.015), and with longer duration of healthcare service (OR 1.048; 95% CI 1.016–1.080; P = 0.003) were risk factors for positive T-SPOT.TB result. Furthermore, longer working duration increased the positive rate of T-SPOT.TB results for physicians and nurses, and physicians had higher risks than nurses for the same working duration. Inpatient TB and respiratory wards were high-risk working locations for HCWs with LTBI, and longer duration of healthcare service also increased the risk of LTBI among HCWs. A complete strategy for TB infection control and protection awareness among HCWs should be enhanced.

scholarly journals What Are the Risk Factors of Negative Patient Experience? A Cross-Sectional Study in Chinese Public Hospitals

2019 ◽  
Vol 56 ◽  
pp. 004695801984786 ◽  
Author(s):  
Jinzhu Xie ◽  
Yinhuan Hu ◽  
Chuntao Lu ◽  
Qiang Fu ◽  
Jason T. Carbone ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Health Status ◽  
Patient Experience ◽  
Cross Sectional Study ◽  
Public Hospitals ◽  
Sectional Study ◽  
Cross Sectional ◽  
Negative Patient ◽  
Self Rated Health

Hospitals are struggling to involve patients and learn from their experience. The risk factor of patient experience is increasingly recognized as a critical component in improving patient experience. Our study explored risk factors of negative patient experience in order to improve the health-service quality of public hospitals. We conducted a cross-sectional study in Hubei province, China. A total of 583 respondents were surveyed by the Outpatient Experience Questionnaire with good validity and reliability in July 2015. T-tests were conducted to compare the experience scores among different outpatient groups. Multiple linear regression was performed to determine the significant factors that influenced the outpatient experience. Outpatients between 18 and 44 years old had the lowest experience scores (65.89 ± 0.79), whereas outpatients completely paying out-of-pocket had the lowest experience scores (64.68 ± 0.81) among all participants. Outpatients with poor self-rated health status had the lowest experience scores (66.14 ± 1.61) among different self-rated health status groups. While age, type of payment, and self-rated health status were significantly risk factors that influenced outpatient experience in the multiple linear regression. Thus, health-care providers should pay more attention to outpatients who are young (age <45), completely out-of-pocket and poor health status, and provide precision health care to improve outpatient experience.

scholarly journals MRSA Point Prevalence among Health Care Workers in German Rehabilitation Centers: A Multi-Center, Cross-Sectional Study in a Non-Outbreak Setting

2019 ◽  
Vol 16 (9) ◽  
pp. 1660
Author(s):  
Melanie Schubert ◽  
Daniel Kämpf ◽  
Marlena Wahl ◽  
Samuel Hofmann ◽  
Maria Girbig ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Personal Characteristics ◽  
Cross Sectional Study ◽  
Point Prevalence ◽  
Sectional Study ◽  
Cross Sectional ◽  
Occupational Risk Factors ◽  
Rehabilitation Centers ◽  
Increased Risk

People working in health care services have an increased risk of being infected with methicillin-resistant Staphylococcus aureus (MRSA), though little is known about the prevalence in rehabilitation centers. This cross-sectional study investigated the MRSA prevalence in employees from different rehabilitation centers and aimed to identify risk factors for MRSA transmission. We invited all staff (i.e., with and without patient contact from 22 participating rehabilitation centers; n = 2499) to participate. Study participation included a questionnaire on personal characteristics, lifestyle, personal and occupational risk factors for MRSA and nasal swabs taken by the study team. In total, 1005 persons participated in the study (response: 40.2%). Only four participants carried MRSA (0.40 (95% CI 0.00–1.00) per 100). MRSA carriage did not seem to be occupationally related, as it was found in different occupations with and without direct contact with MRSA patients, as well as in different clinics with different indications and patient clientele. We could not find a clear association between MRSA carriage and potential risk factors due to the low number of cases found. Genotyping revealed the spa types t032 (Barnim epidemic strain) and t1223. Our results suggest a low point prevalence of nasal MRSA colonization in a non-outbreak setting in employees from rehabilitation centers.

scholarly journals Sickness Presence among Health Care Professionals: A Cross Sectional Study of Health Care Professionals in Slovenia

2020 ◽  
Vol 17 (1) ◽  
pp. 367 ◽  
Author(s):  
Alenka Skerjanc ◽  
Metoda Dodic Fikfak
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Sick Leave ◽  
Health Care Professionals ◽  
Cross Sectional Study ◽  
Social Risk ◽  
Sectional Study ◽  
Social Risk Factors ◽  
Cross Sectional ◽  
Sickness Presence

Background and objectives: Presenteeism is a relatively new phenomenon that people, despite complaints and ill health that should prompt them to rest and take sick leave, go to work in any case. The highest sickness presence is largely to be found in the care and welfare and educational sectors. The aim of the study is to investigate the relations between different factors and sickness presence among health care professionals. Materials and Methods: A cross-sectional study was conducted at the largest hospital in Slovenia involving 5865 health care professionals employed at the University Medical Centre Ljubljana in the period between 1 January 2010 and 31 December 2010. Logistic regression methods were used to assess the associations between risk factors and their interactions and sickness presence. Results: Besides high odds for sickness presence in multivariate modelling for acute (OR = 359.7; 95%CI = 89.1–1452.8) and chronic disease (OR = 722.5; 95%CI = 178.5–2924.5) the highest odds were calculated for poor self-related health (OR = 3.0; 95%CI = 1.9–4.8), no possibility of replacement (OR = 1.9; 95%CI = 1.5–2.3), sickness absence > two times a year (OR = 1.6; 95%CI = 1.2–2.1), disabled workers (OR = 1.6; 95%CI = 1.0–2.5), and lower salary when on sick leave (OR = 1.5; 95%CI = 120–1.9). Risk factors interactions were not found to be associated with sickness presence among health care workers. Conclusions: The pre-requisite for higher sickness presence is workers’ bad health. The results indicate that sickness presence was associated with psycho social risk factors at work and their economic consequences. Continued sickness presence might have negative rather than positive consequences on work and health care professionals’ health in the future. Sickness presence needs to be taken into account for health care organizers.

Sign in / Sign up

Export Citation Format

Share Document