Incidences of surgical site infections and responsible risk factors among Orthopedics in-patient department of a teaching hospital in Madhya Pradesh, India
Responsible: Megha Sharma
Introduction
Despite of the advances in infection prevention and control methods the health care-associated infections (HAI) remain a major public health problem and potential patient safety threat worldwide. The global estimated prevalence of HAI as 1.4 million, at any given time. According to the World Health Organization (WHO) SSIs are most frequently occurring type of HAI in low and middle-income countries (LMICs) with a pooled incidence of 11.8 episodes of SSI per 100 surgical procedures. Incidence varies widely across countries and type of surgical procedures; however, it is estimated to occur in at least 2% of surgeries. SSI possess a complex relationship among microbial, patient, surgical, and environmental factors. Prescribing a given amount of antibiotic substance for a given period to treat the indicated infection is rational practice. However, compliance of rational prescribing is violated in general specifically in surgical conditions. This practice triggers the development of resistant infections and a major risk in constrained settings, but is not thoroughly documented. Minimizing SSIs is crucial to assure patient safety, circumvent additional health care costs, and improve health care quality. However, scarcity of studies, that describes the incidences of SSIs and associated prescribing practices in LMICs, is also evident.
Project details
| Institutionen för folkhälsovetenskap (PHS) | |
| Clinical study | |
| 1 | |
| English | |
| All data have already been collected and only need to be analyzed | |
| Ethical permit is required and exists |
Supervisor/Contact
Megha Sharma
+91-9827361961
megha.sharma@ki.se
Contact 2
Aims
This study aims to determine the incidences of- SSIs and antibiotic use; and to explore the associated of risk factors for SSIs at Orthopedic in-patient department of an Indian teaching hospital.
Design
Descriptive analysis and regression models will be used appropritately for the variables.
Material and methods
This was a cross sectional, observational study. The data collection was carried out at the Department of Orthopaedics in the Chandrikaben Rashmikant Gardi Hospital, situated in a rural area of Madhya Pradesh in India. The CRGH is a 600 beds teaching, tertiary care hospital from private not-for-profit healthcare sector and attached to a medical college in Ujjain, Madhya Pradesh, India. The data collection tool was locally developed in consensus with the consultants working at the study settings and was pre-tested before use. The form contains information of related clinical parameters, vital sign and details of prescribed antibiotics of all patients. The data was collected by a pre-trained person who was supervised periodically. The data collection was conducted on consecutive patients admitted in the study hospital from August 2013 to April 2016. Overall 2,150 inpatients were enrolled in the study.
Descriptive analysis and regression models will be used to present the association of HAI incidences with various factors. WHO anatomical therapeutic chemical (ATC) classification system will be used to group and analyse the prescribed antibiotics.
Descriptive analysis and regression models will be used to present the association of HAI incidences with various factors. WHO anatomical therapeutic chemical (ATC) classification system will be used to group and analyse the prescribed antibiotics.
Project time schedule
The data contains all related information about the inpatients enrolled in the Orthopedics department during the study period of 2 years and 8 months. Consultants working at the orthopedics department are associated with the project to provide necessary help during the analysis. The student will get a chance to visit the in- and out-patient departments and follow the actual treatment procedures, surgical procedures of common surgical indications in an Indian hospital. This will not only give an overview about the rationale of the study and but will also provide an experience of the actual situation of antibiotic prescribing and frequency of SSIs.
Miscellaneous
The data is entered in Epidata software (version 3.1) and Microsoft Excel and are ready to work