“…4 shows the frequency of chosen paediatric to adult age cut-offs used by facilities in our review. While the median age was 15 (IQR 14–18), the range was wide from 5 (4 studies in 3 countries) 21 , 22 , 23 , 24 to 20 years of age (1 study in 1 country). 25 Figure 4 Distribution of paediatric to adult age cut-offs found in emergency care literature originating from LMICs.…”
IntroductionThere is little research on emergency care delivery in low- and middle-income countries (LMICs). To facilitate future research, we aimed to assess the set of key metrics currently used by researchers in these settings and to propose a set of standard metrics to facilitate future research.MethodsSystematic literature review of 43,109 published reports on general emergency care from 139 LMICs. Studies describing care for subsets of emergency conditions, subsets of populations, and data aggregated across multiple facilities were excluded. All facility- and patient-level statistics reported in these studies were recorded and the most commonly used metrics were identified.ResultsWe identified 195 studies on emergency care delivery in LMICs. There was little uniformity in either patient- or facility-level metrics reported. Patient demographics were inconsistently reported: only 33% noted average age and 63% the gender breakdown. The upper age boundary used for paediatric data varied widely, from 5 to 20 years of age. Emergency centre capacity was reported using a variety of metrics including annual patient volume (n = 175, 90%); bed count (n = 60, 31%), number of rooms (n = 48, 25%); frequently none of these metrics were reported (n = 16, 8%). Many characteristics essential to describe capabilities and performance of emergency care were not reported, including use and type of triage; level of provider training; admission rate; time to evaluation; and length of EC stay.ConclusionWe found considerable heterogeneity in reporting practices for studies of emergency care in LMICs. Standardised metrics could facilitate future analysis and interpretation of such studies, and expand the ability to generalise and compare findings across emergency care settings.
“…4 shows the frequency of chosen paediatric to adult age cut-offs used by facilities in our review. While the median age was 15 (IQR 14–18), the range was wide from 5 (4 studies in 3 countries) 21 , 22 , 23 , 24 to 20 years of age (1 study in 1 country). 25 Figure 4 Distribution of paediatric to adult age cut-offs found in emergency care literature originating from LMICs.…”
IntroductionThere is little research on emergency care delivery in low- and middle-income countries (LMICs). To facilitate future research, we aimed to assess the set of key metrics currently used by researchers in these settings and to propose a set of standard metrics to facilitate future research.MethodsSystematic literature review of 43,109 published reports on general emergency care from 139 LMICs. Studies describing care for subsets of emergency conditions, subsets of populations, and data aggregated across multiple facilities were excluded. All facility- and patient-level statistics reported in these studies were recorded and the most commonly used metrics were identified.ResultsWe identified 195 studies on emergency care delivery in LMICs. There was little uniformity in either patient- or facility-level metrics reported. Patient demographics were inconsistently reported: only 33% noted average age and 63% the gender breakdown. The upper age boundary used for paediatric data varied widely, from 5 to 20 years of age. Emergency centre capacity was reported using a variety of metrics including annual patient volume (n = 175, 90%); bed count (n = 60, 31%), number of rooms (n = 48, 25%); frequently none of these metrics were reported (n = 16, 8%). Many characteristics essential to describe capabilities and performance of emergency care were not reported, including use and type of triage; level of provider training; admission rate; time to evaluation; and length of EC stay.ConclusionWe found considerable heterogeneity in reporting practices for studies of emergency care in LMICs. Standardised metrics could facilitate future analysis and interpretation of such studies, and expand the ability to generalise and compare findings across emergency care settings.
“…23,24 Our results agree with those of Mabiala-Babela, who found fever (40%) to be the main reason for consultation in the emergency room. 25 Concerning the etiologies of re-hospitalizations, the literature underlines two facts: the first is that the most frequent etiology of re-hospitalizations remains jaundice. 26 The second concerns the distribution of etiologies according to the age of newborns.…”
Section: Discussionmentioning
confidence: 99%
“…11 However, other authors have defined breastfeeding as a risk factor. 15,25,34,35 According to the scientific argument of the high Autority of Health published in 2014, a longer length of stay, a socio-cultural context favorable to breastfeeding and optimized home monitoring are favorable to good quality breastfeeding, which indirectly reduces the risk of readmission. 26 Concerning primiparity, the data from the French literature are in contradiction with those from the Anglo-Saxon literature.…”
Background: Newborn attendance at pediatric emergency departments has sharply increased in France since the early 2000s. Early discharge from maternity is the main risk factor. The purpose of this study was to describe the demographic and perinatal factors involved in the readmission to hospital of newborn babies in Southern reunion Island.Methods: This was a 13-month, single-center, case-control retrospective study (December 2015 to December 2016) carried out in the neonatal and pediatric intensive care units of the Saint-Pierre university hospital. Cases were represented by any newborn released from the maternity hospital and having been re-hospitalized. Controls were represented by newborns born during the same study period and not readmitted during their first month of life. One case was matched with a control.Results: We included 109 newborns. The re-hospitalization rate was 2.08%. The most common presentation were: fever (35.7%), and neurological symptoms (34.8%). The main etiologies were infections (33.9%), respiratory pathologies (24.7%), and breastfeeding difficulties (11.9%). Breastfeeding OR=0.53; 95% CI [0.30-0.92] (p=0.03) and neonatal pathologies during the stay in the maternity hospital OR=0.49; 95% CI [0.28-0.45] (p=0.016) were protective factors.Conclusions: The lack of identification of a risk factor encourages us to expand our study population and to look for other factors such as the medical and paramedical supervision of the mother-child couple during the postpartum period and the follow-up of the new born after leaving the maternity ward.
The supply and the quality of care dispensed in a service depend on the quality of the technical and human tray, but also from effective presence of the staff during the work time. The purpose of this study is to determine the absenteeism level of the paramedical staff in General Pediatric and Neonatology of Loandjili General Hospital (Pointe Noire) and identifying causes. A cross-sectional study has been conducted from January 1(st) to June 30(th) 2011 on 21 nurses in General Pediatric and 20 in Neonatology. The absenteeism level was obtained by the link of the number of missing days out of the number of the work days x 100. The absence was justified when it relieved from a reason informed by the administrative texts of the firm; and authorized when it requested the authorization of the administration of the firm. In total, 370 absences have been unregistered, the average absenteeism level was of 8.4%. The absence was justified in 242 cases (65.4%) and authorized in 178 cases (48.1%) which 84 times in writing and 94 times verbally. When the absence was justified, it was the fact of the disease of a member of the family in 82 cases, of the death or the burial of a member of the family in 81 cases, of the agent disease, 84 cases, or other reasons in the remains of cases. The absence occurred between 7 a.m. and 14 p.m. in 57.3%, 14 p.m. and 7 p.m.in, 25.7% and between 7 p.m. and 7 a.m. in 17.0%. The absenteeism was mainly observed (85.7%) for the nurses of about 30 years old and those (59.5%) whom the seniority in the service was inferior or equal 5 years. The absences justified were more observed (p< 10(-4)) for nurses of about 30 years old and those whom the seniority did not pass 5 years. The absenteeism of nurses constitutes a real social and administrative problem that deserves a particular attention considering its impact on the supply and the quality of cares.
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