Surveillance Support and Compliance with Epidemic-Prone Disease Surveillance among Private Healthcare Facilities in Ibadan Metropolis
1
Health Promotion and Education, University of Ibadan, Ibadan, Nigeria
2
Department of Epidemiology and Medical Statistics, University of Ibadan, Ibadan, Nigeria
Popul. Med. 2026;8(Supplement Supplement 1):
ABSTRACT
INTRODUCTION:
Disease outbreaks in Nigeria have historically been linked to poor reporting which private health facilities are responsible for 60% of healthcare contact, with challenges of inadequate reporting. However, this study investigated surveillance support and compliance with epidemic-prone disease surveillance among private healthcare facilities in Ibadan metropolis.
METHODS:
A cross-sectional study design was used among 216 health workers across 44 private healthcare facilities in Ibadan Metropolis. The study randomly selected health workers from registered private healthcare facilities in each local government area. Data were collected using self-administered questionnaires and analyzed using SPSSversion27. Descriptive and inferential statistics were done which surveillance support functions availability and compliance with epidemic-prone disease surveillance were measured on 12-point scale which upto 6 and > 6 were categorized poor and good, respectively, and the level of statistical significance was set at a p-value<0.05.
RESULTS:
The mean age of respondents was 31.7±8.1years which 51.4% were nurses and 29.6% were doctors. Many (65.7%) had less than 5years of experience which only 50.0% reported availability of Integrated Disease Surveillance and Response (IDSR) Form (003) and 42.6% and 53.2% had Epidemic preparedness and response (EPR) team and plan respectively. Many (71.3%) reported a poor surveillance support function availability, 20.4% had poor compliance with epidemic-prone disease surveillance. Health workers with year of experience between 1 – 5 years and 6 – 10 years were 8.3 and 4.0 times respectively more likely to comply with epidemic-prone disease surveillance as compared to healthcare workers with over 15 years of experience (OR=8.267, CI=2.285 – 19.901, p=<0.001; OR=4.000, CI=1.036 – 15.442, p=0.044).
CONCLUSIONS:
The study findings highlight significant deficiencies in surveillance support function availability, with a notable majority of healthcare workers reporting inadequacies. Equally concerning is the poor compliance rate, with around one in five healthcare workers failing to meet required epidemic-prone disease surveillance standards
Disease outbreaks in Nigeria have historically been linked to poor reporting which private health facilities are responsible for 60% of healthcare contact, with challenges of inadequate reporting. However, this study investigated surveillance support and compliance with epidemic-prone disease surveillance among private healthcare facilities in Ibadan metropolis.
METHODS:
A cross-sectional study design was used among 216 health workers across 44 private healthcare facilities in Ibadan Metropolis. The study randomly selected health workers from registered private healthcare facilities in each local government area. Data were collected using self-administered questionnaires and analyzed using SPSSversion27. Descriptive and inferential statistics were done which surveillance support functions availability and compliance with epidemic-prone disease surveillance were measured on 12-point scale which upto 6 and > 6 were categorized poor and good, respectively, and the level of statistical significance was set at a p-value<0.05.
RESULTS:
The mean age of respondents was 31.7±8.1years which 51.4% were nurses and 29.6% were doctors. Many (65.7%) had less than 5years of experience which only 50.0% reported availability of Integrated Disease Surveillance and Response (IDSR) Form (003) and 42.6% and 53.2% had Epidemic preparedness and response (EPR) team and plan respectively. Many (71.3%) reported a poor surveillance support function availability, 20.4% had poor compliance with epidemic-prone disease surveillance. Health workers with year of experience between 1 – 5 years and 6 – 10 years were 8.3 and 4.0 times respectively more likely to comply with epidemic-prone disease surveillance as compared to healthcare workers with over 15 years of experience (OR=8.267, CI=2.285 – 19.901, p=<0.001; OR=4.000, CI=1.036 – 15.442, p=0.044).
CONCLUSIONS:
The study findings highlight significant deficiencies in surveillance support function availability, with a notable majority of healthcare workers reporting inadequacies. Equally concerning is the poor compliance rate, with around one in five healthcare workers failing to meet required epidemic-prone disease surveillance standards
| eISSN: | 2654-1459 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
