{"title":"利用预警评分评估博茨瓦纳农村医院的危重疾病负担。","authors":"V Broekhoven, F D Madzimbamuto","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>There is little data on prevalence of critical illness in Sub Saharan Africa, especially in rural areas, but it is needed to develop critical care services in district hospitals.</p><p><strong>Methods: </strong>We sought to determine the prevalence of patients 'at risk of' critical illness using an Early Warning Score (EWS) in a district hospital in Botswana. During two-month period patients daily vital signs were recorded and EWSs calculated on adult medical or surgical wards to identify patients who scored ≥3.</p><p><strong>Results: </strong>EWS on 826 patients were obtained. There were 180 patients with ≥3 [8 refused to give consent and were excluded] with mortality 63(37%) and 646 patients scored below 3, mortality of 3 (0.6%). Patients with scores ≥3 were medical (63%), surgical (27%) and orthopaedic (9%). Of patients that were transferred to a referral centre [6 (3%)], none were admitted to ICU. Patients who died lived for 6.5 (SD 7.0) days after first score of ≥3. HIV prevalence among patients that died was 37%. Other co-morbidities were rare, except hypertension (21%). Cause of death was not clear in 60% of patients. When cause of death could be inferred from clinical records, it was illness related in 75% of cases.</p><p><strong>Conclusions: </strong>Using the EWS we have identified the burden of critical illness in a rural district hospital in Botswana and the 'critical care gap' where patients do not get the intensive care they need.</p>","PeriodicalId":74979,"journal":{"name":"The Central African journal of medicine","volume":"59 5-8","pages":"26-32"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of the burden of critical illness in a rural Botswana hospital with the use of an early warning score.\",\"authors\":\"V Broekhoven, F D Madzimbamuto\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>There is little data on prevalence of critical illness in Sub Saharan Africa, especially in rural areas, but it is needed to develop critical care services in district hospitals.</p><p><strong>Methods: </strong>We sought to determine the prevalence of patients 'at risk of' critical illness using an Early Warning Score (EWS) in a district hospital in Botswana. During two-month period patients daily vital signs were recorded and EWSs calculated on adult medical or surgical wards to identify patients who scored ≥3.</p><p><strong>Results: </strong>EWS on 826 patients were obtained. There were 180 patients with ≥3 [8 refused to give consent and were excluded] with mortality 63(37%) and 646 patients scored below 3, mortality of 3 (0.6%). Patients with scores ≥3 were medical (63%), surgical (27%) and orthopaedic (9%). Of patients that were transferred to a referral centre [6 (3%)], none were admitted to ICU. Patients who died lived for 6.5 (SD 7.0) days after first score of ≥3. HIV prevalence among patients that died was 37%. Other co-morbidities were rare, except hypertension (21%). Cause of death was not clear in 60% of patients. When cause of death could be inferred from clinical records, it was illness related in 75% of cases.</p><p><strong>Conclusions: </strong>Using the EWS we have identified the burden of critical illness in a rural district hospital in Botswana and the 'critical care gap' where patients do not get the intensive care they need.</p>\",\"PeriodicalId\":74979,\"journal\":{\"name\":\"The Central African journal of medicine\",\"volume\":\"59 5-8\",\"pages\":\"26-32\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Central African journal of medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Central African journal of medicine","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessment of the burden of critical illness in a rural Botswana hospital with the use of an early warning score.
Background: There is little data on prevalence of critical illness in Sub Saharan Africa, especially in rural areas, but it is needed to develop critical care services in district hospitals.
Methods: We sought to determine the prevalence of patients 'at risk of' critical illness using an Early Warning Score (EWS) in a district hospital in Botswana. During two-month period patients daily vital signs were recorded and EWSs calculated on adult medical or surgical wards to identify patients who scored ≥3.
Results: EWS on 826 patients were obtained. There were 180 patients with ≥3 [8 refused to give consent and were excluded] with mortality 63(37%) and 646 patients scored below 3, mortality of 3 (0.6%). Patients with scores ≥3 were medical (63%), surgical (27%) and orthopaedic (9%). Of patients that were transferred to a referral centre [6 (3%)], none were admitted to ICU. Patients who died lived for 6.5 (SD 7.0) days after first score of ≥3. HIV prevalence among patients that died was 37%. Other co-morbidities were rare, except hypertension (21%). Cause of death was not clear in 60% of patients. When cause of death could be inferred from clinical records, it was illness related in 75% of cases.
Conclusions: Using the EWS we have identified the burden of critical illness in a rural district hospital in Botswana and the 'critical care gap' where patients do not get the intensive care they need.