22 research outputs found
Time to elective surgery and its predictors after first cancellation at Debremarkos Comprehensive Specialized Hospital, Northwest Ethiopia
No full textTime to elective surgery and its predictors after first cancellation at Debremarkos Comprehensive Specialized Hospital, Northwest Ethiopia.
No full textCanceling elective surgical procedures is quite common throughout Ethiopia. Despite this, there is limited evidence about the time to elective surgery after cancellation in the country. Thus, the current study aimed to determine the time to elective surgery and its predictors after the first cancellation. An institution-based retrospective follow-up study was conducted on 386 study participants at Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia, between September 1, 2017, and August 31, 2022. Utilizing a checklist, data were retrieved. To choose study participants, systematic random sampling was employed. Epi-Data version 3.1 and STATA version 14.1 were utilized. Kaplan-Meier curves and log-rank tests were employed. The Cox proportional hazard model was fitted. The mean age of the participants was 41.01 + 18.61 years. Females made up 51% of the patients. The majority were illiterate (72.3%) and resided in rural areas (70.5%). Surgery following the first cancellation had a cumulative incidence of 83.6% (95% CI: 79.6, 87.05) and an incidence rate of 32.3 per 1,000 person-days (95% CI: 29.3, 35.5). The median survival time to surgery was 25 (IQR: 17-40) days. Urban residence (AHR = 1.62; 95% CI: 1.26-1.96), being a member of health insurance schemes (AHR = 1.55; 95% CI: 1.24-1.96), stable other medical conditions (AHR = 1.43; 95% CI: 1.13-1.79), and timely completion of diagnostic tests (AHR = 1.62; 95% CI: 1.29-2.04) were significant predictors of time to surgery after first cancellation. Our study revealed that the time to surgery after the first cancellation was in the globally acceptable range and met the national target. Clinicians should focus on timely completion of diagnostic or laboratory tests, facilitating health insurance coverage, and comprehensive assessment and treatment of any coexisting medical conditions. It is urged to stratify each department's time for surgery, taking into consideration of important variables
Classification of ground deformation using sentinel-1 persistent scatterer interferometry time series
No full textDisplacement time series (TS) provides temporal and spatial information related to ground deformation. This study aims to investigate temporal behavior of ground deformation TS, including classification of displacement trends and periodicity evaluation, which ease the interpretation of movements. To this end, we propose several modifications to an existing automatic classification workflow of Persistent Scatterers Interferometry (PSI) TS using new tests to classify ground deformations into seven main trends: Stable, Linear, Quadratic, Bilinear, Phase Unwrapping Errors (PUE), Discontinuous with constant and different velocities. We illustrate our approach over 1500 km2 of the Granada region and the metropolitan area of Barcelona, which were monitored using Sentinel-1 images and a PSI technique. This study provided the spatial distribution of different ground movement types and was useful to detect several TS anomalies due to PUE. The proposed approach also identified stable targets, which were wrongly classified as moving scatterers by the existing classification method. A periodicity analysis was finally performed using the Welch’s power spectral density estimator to investigate seasonal and yearly fluctuations. The method was validated using simulated data, where the classified TSs characterized by probable phase unwrapping errors were verified by PSI experts. The overall classification accuracy was 77.8%, indicating that the proposed method has a considerable TS classification potential. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.The work of S. Mohammad Mirmazloumi has been funded by the Spanish State Research Agency, through a grant for a pre-doctorate contract (Ref: PRE2018-083394). The work of Yismaw Wassie has been funded by AGAUR, Generalitat de Catalunya, through a grant for the recruitment of early-stage research staff (Ref: 2019 FI_B 00050). The processing of Granada has been funded by the project "RISKCOAST" (SOE3/P4/E0868) of the Interreg SUDOE Programme
Conceptual framework.
No full textCanceling elective surgical procedures is quite common throughout Ethiopia. Despite this, there is limited evidence about the time to elective surgery after cancellation in the country. Thus, the current study aimed to determine the time to elective surgery and its predictors after the first cancellation. An institution-based retrospective follow-up study was conducted on 386 study participants at Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia, between September 1, 2017, and August 31, 2022. Utilizing a checklist, data were retrieved. To choose study participants, systematic random sampling was employed. Epi-Data version 3.1 and STATA version 14.1 were utilized. Kaplan-Meier curves and log-rank tests were employed. The Cox proportional hazard model was fitted. The mean age of the participants was 41.01 + 18.61 years. Females made up 51% of the patients. The majority were illiterate (72.3%) and resided in rural areas (70.5%). Surgery following the first cancellation had a cumulative incidence of 83.6% (95% CI: 79.6, 87.05) and an incidence rate of 32.3 per 1,000 person-days (95% CI: 29.3, 35.5). The median survival time to surgery was 25 (IQR: 17–40) days. Urban residence (AHR = 1.62; 95% CI: 1.26–1.96), being a member of health insurance schemes (AHR = 1.55; 95% CI: 1.24–1.96), stable other medical conditions (AHR = 1.43; 95% CI: 1.13–1.79), and timely completion of diagnostic tests (AHR = 1.62; 95% CI: 1.29–2.04) were significant predictors of time to surgery after first cancellation. Our study revealed that the time to surgery after the first cancellation was in the globally acceptable range and met the national target. Clinicians should focus on timely completion of diagnostic or laboratory tests, facilitating health insurance coverage, and comprehensive assessment and treatment of any coexisting medical conditions. It is urged to stratify each department’s time for surgery, taking into consideration of important variables.</div
Fig 4 -
No full textKaplan-Meier survival estimates for categorical variables, A. for residence, B. for diagnostic or laboratory tests done, C. health insurance membership, D. for status of medical condition.</p
Pre-labor rupture of membranes and associated factors among pregnant women admitted to the maternity ward, Northwest Ethiopia.
No full textPre-labor rupture of membranes (PROM) is the rupture of fetal membranes before the onset of labor. PROM is found in 3-15% of all pregnancies and 30-40% of preterm labor worldwide. The most serious complications are neonatal and prenatal mortality, which is higher in Africa, including Ethiopia. Despite a paucity of evidence on the magnitude and factors affecting PROM after 28 weeks of gestation but before the onset of labor (including both term and preterm PROM). Hence, the purpose of this study was to determine the magnitude and identify associated factors of the pre-labor rupture of membranes. An institutional-based cross-sectional study was conducted among 315 pregnant women from April 10, 2019 to June 30, 2019 at Debre Markos Referral Hospital. The samples were chosen using a systematic random sampling method among admitted pregnant women. The data were entered using EpiData entry version 4.2 and cleaned and analyzed using Stata/SE version 14.0. In binary logistic regressions, variables with a p-value <0.20 are selected for multivariable analysis. A multivariable logistic regression model with a 95% confidence interval and a p-value <0.05 was used to identify associated factors. In this study, the magnitude of PROM was 19%. Maternal monthly income ≤1000 birr [AOR: 3.33 (95%CI: 1.33, 8.33)], gestational age <37weeks [AOR: 3. 28 (95%CI: 1.53, 7.02)], multiple pregnancy [AOR: 4.14 (95%CI: 1.78, 9.62)], polyhydramnios [AOR: 5.06 (95%CI: 2.28, 11.23)] and history of abnormal vaginal discharge [AOR: 6.65 (95%CI: 2.62, 16.72)] were found significant associated factors. In conclusion, the magnitude of the pre-labor rapture of the membranes was higher than in previous studies. Hence, health professionals should strengthen counseling, early diagnosis, and treatment of infections, as well as focus on women with pregnancy-related risks, to reduce pre-labor rupture of membranes and improve fetal and perinatal health
Hospital administration-related, patient-related, and professional-related factors.
No full textHospital administration-related, patient-related, and professional-related factors.</p
Schematic presentations of the sampling procedure.
No full textSchematic presentations of the sampling procedure.</p
Overall Kaplan-Meier survival estimate of time to elective surgery after first cancellation.
No full textOverall Kaplan-Meier survival estimate of time to elective surgery after first cancellation.</p
Sociodemographic characteristics of elective surgery cases after first cancellation (n = 386).
No full textSociodemographic characteristics of elective surgery cases after first cancellation (n = 386).</p
