9 research outputs found

    Prevalence and associated factors of neonatal mortality in Ethiopia

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    Abstract Neonatal mortality is the death of a live-born baby within the first 28 days of birth. For the selected households, neonatal mortality was collected from children aged 0–28 days and women aged 15–49. The neonatal period is a significant 4-week period in human life because it carries a greater mortality risk. To identify the determinant factors of neonatal mortality in Ethiopia based on EDHS 2016 data with the application of count regression models. In this study, all neonates in Ethiopia were born within the 5 years preceding EDHS 2016 of the source population in the selected EAs from September to December 2015. Count regression models were used to analyze the data. A total of 10,641 live-born neonates within the previous 5 years of EDHS 2016 had neonatal mortality of women aged 15–49, which was considered in the study to be 7193. The data were found to have excess zeros (96.6%), and the variance (0.052) was higher than its mean (0.04). The count regression model (ZINB) was best fitted to the data with maximum likelihood parameter estimation methods. The average neonatal mortality difference in multiple births was increased by IRR = 8.53 times compared with a single birth. The average number of neonatal deaths experienced during breastfeeding was lower (IRR = 0.38) than that experienced by mothers who did not experience breastfeeding their child. The average neonatal mortality difference in rural residences was increased by IRR = 3.99 times compared to urban mothers' residences. In this study, the prevalence of Neonatal mortality in Ethiopia was higher. For selected ZINB count regression models of explanatory variables, such as multiple birth types, having rural residence factors of neonatal mortality increased the risk of death. However, having early breastfeeding, a female household head, and antenatal visits (1–4) and (5–10) during pregnancy decrease the risk of neonatal death

    Value and Feasibility of Telephone Follow-Up in Ethiopian Surgical Patients

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    Background: Surgical site infections (SSIs) represent a major cause of morbidity and mortality in Ethiopia. Lack of post-discharge follow-up, including identification of SSIs, is a barrier to continued patient care, often because of financial and travel constraints. As part of a surgical quality improvement initiative, we aimed to assess patient outcomes at 30 days post-operative with a telephone call. Patients and Methods: We conducted mobile telephone follow-up as part of Lifebox's ongoing Clean Cut program, which aims to improve compliance with intra-operative infection prevention standards. One urban tertiary referral hospital and one rural district general hospital in Ethiopia were included in this phase of the study; hospital nursing staff called patients at 30 days post-operative inquiring about signs of SSIs, health-care-seeking behavior, and treatments provided if patients had any healthcare encounters since discharge. Results: A total of 701 patients were included; overall 77% of patients were reached by telephone call after discharge. The rural study site reached 362 patients (87%) by telephone; the urban site reached 176 patients (62%) (p < 0.001). Of the 39 SSIs identified, 19 (49%) were captured as outpatient during the telephone follow-up (p < 0.001); 22 (34%) of all complications were captured following discharge (p < 0.001). Telephone follow-up improved from 65%-78% in the first half of project implementation to 77%-89% in the second half of project implementation. Conclusion: Telephone follow-up after surgery in Ethiopia is feasible and valuable, and identified nearly half of all SSIs and one-third of total complications in our cohort. Follow-up improved over the course of the program, likely indicating a learning curve that, once overcome, is a more accurate marker of its practicability. Given the increasing use of mobile telephones in Ethiopia and ease of implementation, this model could be practical in other low-resource surgical settings

    Bridging the know-do gap in low-income surgical environments: Creating contextually appropriate training videos to promote safer surgery in Ethiopia

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    Although international guidelines exist for the prevention of surgical site infections, their implementation in diverse clinical contexts, especially in low and middle-income countries, is challenging due to the lack of available resources and organizational structure of facilities. The goal of this project was to develop a series of video training aids to highlight best practices in surgical infection prevention in hospitals with limited resources and to provide practical solutions to common challenges faced in these settings. Using the validated Clean Cut education framework for infection prevention developed by Lifebox, a charity devoted to improving surgical and anesthetic safety, we partnered with clinicians in one Ethiopian hospital to create six educational videos giving practical guidelines for infection prevention under resource variable conditions. These include: 1) proper use of the WHO Surgical Safety Checklist, 2) hand and skin antisepsis, 3) confirming instrument sterility, 4) maintaining the sterile field, 5) antibiotic prophylaxis, and 6) gauze counting. Gaps in available online educational materials were identified in each of the six areas. Videos were created providing setting-specific education and addressing gaps in existing materials for each of the infection prevention topics. These videos are now integrated into infection prevention curricula through Lifebox in Ethiopia and ongoing data collection to evaluate acceptability and efficacy is ongoing. Surgical education videos on infection prevention topics addressing location-specific resources and workarounds can be useful to hospitals operating in resource-limited settings for training staff and supporting quality and safety efforts in surgery

    Operating room efficiency in a low resource setting: a pilot study from a large tertiary referral center in Ethiopia

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    BackgroundThe operating room (OR) is one of the most expensive areas of a hospital, requiring large capital and recurring investments, and necessitating efficient throughput to reduce costs per patient encounter. On top of increasing costs, inefficient utilization of operating rooms results in prolonged waiting lists, high rate of cancellation, frustration of OR personnel as well as increased anxiety that negatively impacts the health of patients. This problem is magnified in developing countries, where there is a high unmet surgical need. However, no system currently exists to assess operating room utilization in Ethiopia.MethodologyA prospective study was conducted over a period of 3 months (May 1 to July 31, 2019) in a tertiary hospital. Surgical case start time, end time, room turnover time, cancellations and reason for cancellation were observed to evaluate the efficiency of eight operating rooms.ResultsA total of 933 elective procedures were observed during the study period. Of these, 246 were cancelled, yielding a cancellation rate of 35.8%. The most common reasons for cancellation were related to lack of OR time and patient preparation (8.7% and 7.7% respectively). Shortage of facilities (instrument, blood, ICU bed) were causes of cancelation in 7.7%. Start time was delayed in 93.4% (mean 8:56 am ± 52 min) of cases. Last case completion time was early in 47.9% and delayed in 20.6% (mean 2:54 pm ± 156 min). Turnover time was prolonged in 34.5% (mean 25 min ± 49 min). Total operating room utilization ranged from 10.5% to 174%. Operating rooms were underutilized in 42.7% while overutilization was found in 14.6%.ConclusionWe found a high cancellation rate, most attributable to late start times leading to delays for the remainder of cases, and lack of preoperative patient preparation. In a setting with a high unmet burden of surgical disease, OR efficiency must be maximized with improved patient evaluation workflows, adequate OR staffing and commitment to punctual start times. We recommend future quality improvement projects focusing on these areas to increase OR efficiency

    Bridging the know-do gap in low-income surgical environments: Creating contextually appropriate training videos to promote safer surgery in Ethiopia

    No full text
    Although international guidelines exist for the prevention of surgical site infections, their implementation in diverse clinical contexts, especially in low and middle-income countries, is challenging due to the lack of available resources and organizational structure of facilities. The goal of this project was to develop a series of video training aids to highlight best practices in surgical infection prevention in hospitals with limited resources and to provide practical solutions to common challenges faced in these settings.Using the validated Clean Cut education framework for infection prevention developed by Lifebox, a charity devoted to improving surgical and anesthetic safety, we partnered with clinicians in one Ethiopian hospital to create six educational videos giving practical guidelines for infection prevention under resource variable conditions. These include: 1) proper use of the WHO Surgical Safety Checklist, 2) hand and skin antisepsis, 3) confirming instrument sterility, 4) maintaining the sterile field, 5) antibiotic prophylaxis, and 6) gauze counting.Gaps in available online educational materials were identified in each of the six areas. Videos were created providing setting-specific education and addressing gaps in existing materials for each of the infection prevention topics. These videos are now integrated into infection prevention curricula through Lifebox in Ethiopia and ongoing data collection to evaluate acceptability and efficacy is ongoing.Surgical education videos on infection prevention topics addressing location-specific resources and workarounds can be useful to hospitals operating in resource-limited settings for training staff and supporting quality and safety efforts in surgery

    Evaluation of an adaptive, multimodal intervention to reduce postoperative infections following cesarean delivery in Ethiopia: study protocol of the CLEAN-CS cluster-randomized stepped wedge interventional trial.

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    BackgroundWe previously developed and pilot tested Clean Cut, a program to prevent postoperative infections by improving compliance with the WHO Surgical Safety Checklist (SSC) and strengthening adherence to infection control practices. This protocol describes the CheckList Expansion for Antisepsis and iNfection Control in Cesarean Section (CLEAN-CS) trial evaluating our program's ability to reduce infections following CS and other obstetric and gynecological operations in Ethiopia.Methods/designCLEAN-CS is a cluster-randomized stepped wedge interventional trial with five clusters (two hospitals per cluster). It aims to assess the impact of Clean Cut on six critical perioperative infection prevention standards including antiseptic practices, antibiotic administration, and routine SCC use. The trial involves baseline data collection followed by Clean Cut training and implementation in each cluster in randomized order. The intervention consists of (1) modifying and implementing the SSC to fit local practices, (2) process mapping each standard, (3) coupling data and processes with site-specific action plans for improvement, and (4) targeted training focused on process gaps. The primary outcome is 30-day CS infection rates; secondary outcomes include other patient-level complications and compliance with standards. Assuming baseline SSI incidence of 12%, an effect size of 25% absolute reduction, and the ability to recruit 80-90 patients per cluster per month, we require a sample of 8100 patients for significance. We will report our study according to CONSORT.DiscussionA cluster-randomized stepped wedge design is well-suited for evaluating this type of surgical safety program. The targeted standards are not in doubt, yet compliance is frequently difficult. Solutions are available and may be recognized by individuals, but teams dedicated to improvement are often lacking. Clean Cut was successfully piloted but requires a more rigorous methodological assessment. We seek to understand the qualities, characteristics, and resources needed to implement the program, the magnitude of effect on processes and outcomes, and to what degree it can enhance compliance with care standards. Challenges include a fraught social and political environment, pandemic travel restrictions, and a limited budget.Trial registrationClinicalTrials.gov NCT04812522 (registered on March 23, 2021); Pan-African Clinical Trials Registry PACTR202108717887402 (registered on August 24, 2021)
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