An integrated comprehensive occupational surveillance system for health care workers

2004 ◽  
Vol 45 (6) ◽  
pp. 528-538 ◽  
Author(s):  
John M. Dement ◽  
Lisa A. Pompeii ◽  
Truls Østbye ◽  
Carol Epling ◽  
Hester J. Lipscomb ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Surveillance System ◽  
Care Workers

scholarly journals Effectiveness of a Mobile-Based Influenza-Like Illness Surveillance System (FluMob) Among Health Care Workers: Longitudinal Study

10.2196/19712 ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. e19712
Author(s):  
May Oo Lwin ◽  
Jiahui Lu ◽  
Anita Sheldenkar ◽  
Chitra Panchapakesan ◽  
Yi-Roe Tan ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Pearson Correlation ◽  
Hospital Staff ◽  
Health Staff ◽  
Surveillance Systems ◽  
Influenza Like Illness ◽  
Care Workers

Background Existing studies have suggested that internet-based participatory surveillance systems are a valid sentinel for influenza-like illness (ILI) surveillance. However, there is limited scientific knowledge on the effectiveness of mobile-based ILI surveillance systems. Previous studies also adopted a passive surveillance approach and have not fully investigated the effectiveness of the systems and their determinants. Objective The aim of this study was to assess the efficiency of a mobile-based surveillance system of ILI, termed FluMob, among health care workers using a targeted surveillance approach. Specifically, this study evaluated the effectiveness of the system for ILI surveillance pertaining to its participation engagement and surveillance power. In addition, we aimed to identify the factors that can moderate the effectiveness of the system. Methods The FluMob system was launched in two large hospitals in Singapore from April 2016 to March 2018. A total of 690 clinical and nonclinical hospital staff participated in the study for 18 months and were prompted via app notifications to submit a survey listing 18 acute respiratory symptoms (eg, fever, cough, sore throat) on a weekly basis. There was a period of study disruption due to maintenance of the system and the end of the participation incentive between May and July of 2017. Results On average, the individual submission rate was 41.4% (SD 24.3%), with a rate of 51.8% (SD 26.4%) before the study disruption and of 21.5% (SD 30.6%) after the disruption. Multivariable regression analysis showed that the adjusted individual submission rates were higher for participants who were older (<30 years, 31.4% vs 31-40 years, 40.2% [P<.001]; 41-50 years, 46.0% [P<.001]; >50 years, 39.9% [P=.01]), ethnic Chinese (Chinese, 44.4% vs non-Chinese, 34.7%; P<.001), and vaccinated against flu in the past year (vaccinated, 44.6% vs nonvaccinated, 34.4%; P<.001). In addition, the weekly ILI incidence was 1.07% on average. The Pearson correlation coefficient between ILI incidence estimated by FluMob and that reported by Singapore Ministry of Health was 0.04 (P=.75) with all data and was 0.38 (P=.006) including only data collected before the study disruption. Health care workers with higher risks of ILI and influenza such as women, non-Chinese, allied health staff, those who had children in their households, not vaccinated against influenza, and reported allergy demonstrated higher surveillance correlations. Conclusions Mobile-based ILI surveillance systems among health care workers can be effective. However, proper operation of the mobile system without major disruptions is vital for the engagement of participants and the persistence of surveillance power. Moreover, the effectiveness of the mobile surveillance system can be moderated by participants’ characteristics, which highlights the importance of targeted disease surveillance that can reduce the cost of recruitment and engagement.

scholarly journals Awareness and Attitude toward Infection Control among Health Care Workers during Coronavirus Disease-19 Pandemic, Egypt

2021 ◽  
Vol 9 (E) ◽  
pp. 167-178
Author(s):  
Ahmed Yamany Ali ◽  
Abeer Attia Abdelkhalik ◽  
Shereen Esmat ◽  
Walaa Alsharany Abuelhamd ◽  
Hend Abdullah Elshemy ◽  
...  
Keyword(s):  
Health Care ◽  
Infection Control ◽  
Health Care Workers ◽  
Surveillance System ◽  
Years Of Experience ◽  
Private Hospitals ◽  
Control Policies ◽  
Infection Control Program ◽  
Care Workers ◽  
Significant Difference

BACKGROUND: Coronavirus disease (COVID)-19 emerges worldwide consideration since their first proving. The knowledge and attitude of all medical personnel play an important role in the effectiveness of infection control policies among medical institutions. AIM: The study evaluates the knowledge of health care workers (HCWs) about infection control policies at the Egyptian institutions trying to identify the degree of their awareness to deal with such outbreak. METHODS: A cross-sectional study was implemented in public and private hospitals sectors at Cairo, Egypt, through a structured self-administered questionnaire that was delivered to HCWs in the selected hospitals. RESULTS: A total of 486 physicians working between university, governmental, teaching, private hospitals, and polyclinics submitted their replies. Of whom, 46.9% practiced internal medicine specialty, 35.4% were pediatricians, and only 17.7% specialized in the family medicine. Regarding the overall level of knowledge about infection control and prevention among HCWs, we found that 87.2% of participants reported presence of infection control program at their institutions and about 79% practiced these policies while only 60.5% received some training. Furthermore, we found that 64.2% of the participant did not know which infections are officially reported. There was some variation in response to causes related to the outbreak as 43.8% referred that to shortage of appropriate personnel protective equipment and only 7.4% assigned the carelessness of HCWs. Moreover, the insufficient resources to fulfill the infection control requirements were assigned as a primary factor to spread of infection (71.4%). The electronic surveillance system was believed the most efficient reporting system of infectious agents by staff (83.1%). The study revealed that there was a statistically significant difference of knowledge of infection control among medical staff according to their specialties (p ≤ 0.05). Moreover, there was a significant trend of orientation about infection control toward the highly certificated individuals (having PhD). Furthermore, there was a potential variance between the groups of higher and lower years of experience regarding in their answers about surveillance system institutions (p ≤ 0.05). In addition, there was variation in responses to questions related to various institutions as a higher percent of awareness of the presence of active infection control policy was found at the governmental and university hospitals (p < 0.05). CONCLUSION: HCWs had reasonable knowledge about infection control and surveillance during COVID-19 outbreak and we have discovered zones of concern about infection control experience in Egypt which differ between institutions and professions and years of experience.

268. A Comprehensive Occupational Surveillance System for Health Care Workers

2004 ◽  
Author(s):  
J. Dement ◽  
L. Pompeii ◽  
C. Epling ◽  
T. Ostbye ◽  
H. Lipscomb
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Surveillance System ◽  
Care Workers

Latex Allergy Symptoms among Health Care Workers: Results from a University Health and Safety Surveillance System

2011 ◽  
Vol 17 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Carol Epling ◽  
Jacqueline Duncan ◽  
Emma Archibong ◽  
Truls Østbye ◽  
Lisa A. Pompeii ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Surveillance System ◽  
Health And Safety ◽  
Latex Allergy ◽  
Safety Surveillance ◽  
Care Workers

scholarly journals Effectiveness of a Mobile-Based Influenza-Like Illness Surveillance System (FluMob) Among Health Care Workers: Longitudinal Study (Preprint)

2020 ◽  
Author(s):  
May Oo Lwin ◽  
Jiahui Lu ◽  
Anita Sheldenkar ◽  
Chitra Panchapakesan ◽  
Yi-Roe Tan ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Pearson Correlation ◽  
Hospital Staff ◽  
Health Staff ◽  
Surveillance Systems ◽  
Influenza Like Illness ◽  
Care Workers

BACKGROUND Existing studies have suggested that internet-based participatory surveillance systems are a valid sentinel for influenza-like illness (ILI) surveillance. However, there is limited scientific knowledge on the effectiveness of mobile-based ILI surveillance systems. Previous studies also adopted a passive surveillance approach and have not fully investigated the effectiveness of the systems and their determinants. OBJECTIVE The aim of this study was to assess the efficiency of a mobile-based surveillance system of ILI, termed FluMob, among health care workers using a targeted surveillance approach. Specifically, this study evaluated the effectiveness of the system for ILI surveillance pertaining to its participation engagement and surveillance power. In addition, we aimed to identify the factors that can moderate the effectiveness of the system. METHODS The FluMob system was launched in two large hospitals in Singapore from April 2016 to March 2018. A total of 690 clinical and nonclinical hospital staff participated in the study for 18 months and were prompted via app notifications to submit a survey listing 18 acute respiratory symptoms (eg, fever, cough, sore throat) on a weekly basis. There was a period of study disruption due to maintenance of the system and the end of the participation incentive between May and July of 2017. RESULTS On average, the individual submission rate was 41.4% (SD 24.3%), with a rate of 51.8% (SD 26.4%) before the study disruption and of 21.5% (SD 30.6%) after the disruption. Multivariable regression analysis showed that the adjusted individual submission rates were higher for participants who were older (&lt;30 years, 31.4% vs 31-40 years, 40.2% [<i>P</i>&lt;.001]; 41-50 years, 46.0% [<i>P</i>&lt;.001]; &gt;50 years, 39.9% [<i>P</i>=.01]), ethnic Chinese (Chinese, 44.4% vs non-Chinese, 34.7%; <i>P</i>&lt;.001), and vaccinated against flu in the past year (vaccinated, 44.6% vs nonvaccinated, 34.4%; <i>P</i>&lt;.001). In addition, the weekly ILI incidence was 1.07% on average. The Pearson correlation coefficient between ILI incidence estimated by FluMob and that reported by Singapore Ministry of Health was 0.04 (<i>P</i>=.75) with all data and was 0.38 (<i>P</i>=.006) including only data collected before the study disruption. Health care workers with higher risks of ILI and influenza such as women, non-Chinese, allied health staff, those who had children in their households, not vaccinated against influenza, and reported allergy demonstrated higher surveillance correlations. CONCLUSIONS Mobile-based ILI surveillance systems among health care workers can be effective. However, proper operation of the mobile system without major disruptions is vital for the engagement of participants and the persistence of surveillance power. Moreover, the effectiveness of the mobile surveillance system can be moderated by participants’ characteristics, which highlights the importance of targeted disease surveillance that can reduce the cost of recruitment and engagement.

Organizational Factors and Health Care Workers' Physical Safety

2013 ◽  
Author(s):  
Jane Lipscomb ◽  
Jeanne Geiger-Brown ◽  
Katherine McPhaul ◽  
Karen Calabro
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Organizational Factors ◽  
Care Workers
Sign in / Sign up

Export Citation Format

Share Document