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Current practices and evaluation of barriers and facilitators to surgical site infection prevention measures in Jimma, Ethiopia

Published online by Cambridge University Press:  17 November 2021

Leigh R. Berman*
Affiliation:
University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
Andrew Lang
Affiliation:
University of Wisconsin Health, Madison, Wisconsin
Beshea Gelana
Affiliation:
Department of Health Policy and Management, Jimma University, Jimma, Ethiopia
Samuel Starke
Affiliation:
University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
Dawd Siraj
Affiliation:
Division of Infectious Disease, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
Daniel Yilma
Affiliation:
Department of Internal Medicine, Jimma University, Jimma, Ethiopia Jimma University Clinical Trial Unit, Jimma University, Jimma, Ethiopia
Daniel Shirley
Affiliation:
Division of Infectious Disease, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
*
Author for correspondence: Leigh R. Berman, 750 Highland Ave, Madison, WI 53705. E-mail: lrberman@wisc.edu

Abstract

Objective:

Surgical site infections (SSIs) greatly burden healthcare systems around the world, particularly in low- and middle-income countries. We sought to employ the Systems Engineering Initiative for Patient Safety (SEIPS) model to better characterize SSI prevention practices and factors affecting adherence to prevention guidelines at Jimma University Medical Center (JUMC).

Design:

Our cross-sectional study consisted of semistructured interviews designed to elicit perceptions of and barriers and facilitators to SSI prevention among surgical staff and observations of current preoperative, perioperative, and postoperative SSI prevention practices in surgical cases. Interviews were recorded, manually transcribed, and thematically coded within the SEIPS framework. Trained observers recorded compliance with the World Health Organization’s SSI prevention recommendations.

Setting:

A tertiary-care hospital in Jimma, Ethiopia.

Participants:

Surgical nurses, surgeons, and anesthetists at JUMC.

Results:

Within 16 individual and group interviews, participants cited multiple barriers to SSI prevention including shortages of water and antiseptic materials, lack of clear SSI guidelines and training, minimal Infection Prevention Control (IPC) interaction with surgical staff, and poor SSI tracking. Observations from nineteen surgical cases revealed high compliance with antibiotic prophylaxis (94.7%), hand scrubbing (100%), sterile gloves and instrument use (100%), incision site sterilization (100%), and use of surgical safety checklist (94.7%) but lower compliance with preoperative bathing (26.3%), MRSA screening (0%), and pre- and postoperative glucose (0%, 10.5%) and temperature (57.9%, 47.3%) monitoring.

Conclusions:

Utilizing the SEIPS model helped identify institution-specific barriers and facilitators that can inform targeted interventions to increase compliance with currently underperformed SSI prevention practices at JUMC.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1. Interview Participant Demographics (N = 20)

Figure 1

Table 2. Reported Adherence and Observed Compliance With SSI Prevention Measures

Figure 2

Table 3. Barriers and Facilitators to SSI Prevention Characterized Within the SEIPS model and Ranked by the Number of Times Each Theme was Cumulatively Mentioned Within All Interviews

Figure 3

Fig 1. Systems Engineering Initiative for Patient Safety (SEIPS) diagram for SSI prevention at Jimma University Medical Center, March 2019. Within this modified SEIPS diagram, dashed boxes list common themes identified in interviews, and the circle depicts a work system of inter-related elements (double headed arrows) that cumulatively shape downstream patient and organizational outcomes (left-to-right arrows).18 The model accounts for adaptability within the system whereby process evaluation and outcome monitoring can feedback to identify and strengthen vulnerabilities within the system (right-to-left arrows).

Figure 4

Table 4. Representative quotes developed from interview responses within the SEIPS* model.

Figure 5

Table 5. Multimodal interventions to improve SSI prevention adherence at JUMC.

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