Erica K Salter, Jay R Malone, Amanda Berg, Annie B Friedrich, Alexandra Hucker, Hillary King, Armand H Matheny Antommaria
{"title":"美国儿科重症监护病房医院的分诊政策。","authors":"Erica K Salter, Jay R Malone, Amanda Berg, Annie B Friedrich, Alexandra Hucker, Hillary King, Armand H Matheny Antommaria","doi":"10.1080/23294515.2022.2160508","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To characterize the prevalence and content of pediatric triage policies.</p><p><strong>Methods: </strong>We surveyed and solicited policies from U.S. hospitals with pediatric intensive care units. Policies were analyzed using qualitative methods and coded by 2 investigators.</p><p><strong>Results: </strong>Thirty-four of 120 institutions (28%) responded. Twenty-five (74%) were freestanding children's hospitals and 9 (26%) were hospitals within a hospital. Nine (26%) had approved policies, 9 (26%) had draft policies, 5 (14%) were developing policies, and 7 (20%) did not have policies. Nineteen (68%) institutions shared their approved or draft policy. Eight (42%) of those policies included neonates. The polices identified 0 to 5 (median 2) factors to prioritize patients. The most common factors were short- (17, 90%) and long- (14, 74%) term predicted mortality. Pediatric scoring systems included Pediatric Logistic Organ Dysfunction-2 (12, 63%) and Score for Neonatal Acute Physiology and Perinatal Extensions-II (4, 21%). Thirteen (68%) policies described a formal algorithm. The most common tiebreakers were random/lottery (10, 71%) and life cycles (9, 64%). The majority (15, 79%) of policies specified the roles of triage team members and 13 (68%) precluded those participating in patient care from making triage decisions.</p><p><strong>Conclusions: </strong>While many institutions still do not have pediatric triage policies, there appears to be a trend among those with policies to utilize a formal algorithm that focuses on short- and long-term predicted mortality and that incorporates age-appropriate scoring systems. Additional work is needed to expand access to pediatric-specific policies, to validate scoring systems, and to address health disparities.</p>","PeriodicalId":38118,"journal":{"name":"AJOB Empirical Bioethics","volume":"14 2","pages":"84-90"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Triage Policies at U.S. Hospitals with Pediatric Intensive Care Units.\",\"authors\":\"Erica K Salter, Jay R Malone, Amanda Berg, Annie B Friedrich, Alexandra Hucker, Hillary King, Armand H Matheny Antommaria\",\"doi\":\"10.1080/23294515.2022.2160508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To characterize the prevalence and content of pediatric triage policies.</p><p><strong>Methods: </strong>We surveyed and solicited policies from U.S. hospitals with pediatric intensive care units. Policies were analyzed using qualitative methods and coded by 2 investigators.</p><p><strong>Results: </strong>Thirty-four of 120 institutions (28%) responded. Twenty-five (74%) were freestanding children's hospitals and 9 (26%) were hospitals within a hospital. Nine (26%) had approved policies, 9 (26%) had draft policies, 5 (14%) were developing policies, and 7 (20%) did not have policies. Nineteen (68%) institutions shared their approved or draft policy. Eight (42%) of those policies included neonates. The polices identified 0 to 5 (median 2) factors to prioritize patients. The most common factors were short- (17, 90%) and long- (14, 74%) term predicted mortality. Pediatric scoring systems included Pediatric Logistic Organ Dysfunction-2 (12, 63%) and Score for Neonatal Acute Physiology and Perinatal Extensions-II (4, 21%). Thirteen (68%) policies described a formal algorithm. The most common tiebreakers were random/lottery (10, 71%) and life cycles (9, 64%). The majority (15, 79%) of policies specified the roles of triage team members and 13 (68%) precluded those participating in patient care from making triage decisions.</p><p><strong>Conclusions: </strong>While many institutions still do not have pediatric triage policies, there appears to be a trend among those with policies to utilize a formal algorithm that focuses on short- and long-term predicted mortality and that incorporates age-appropriate scoring systems. Additional work is needed to expand access to pediatric-specific policies, to validate scoring systems, and to address health disparities.</p>\",\"PeriodicalId\":38118,\"journal\":{\"name\":\"AJOB Empirical Bioethics\",\"volume\":\"14 2\",\"pages\":\"84-90\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AJOB Empirical Bioethics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23294515.2022.2160508\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AJOB Empirical Bioethics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23294515.2022.2160508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Arts and Humanities","Score":null,"Total":0}
Triage Policies at U.S. Hospitals with Pediatric Intensive Care Units.
Objectives: To characterize the prevalence and content of pediatric triage policies.
Methods: We surveyed and solicited policies from U.S. hospitals with pediatric intensive care units. Policies were analyzed using qualitative methods and coded by 2 investigators.
Results: Thirty-four of 120 institutions (28%) responded. Twenty-five (74%) were freestanding children's hospitals and 9 (26%) were hospitals within a hospital. Nine (26%) had approved policies, 9 (26%) had draft policies, 5 (14%) were developing policies, and 7 (20%) did not have policies. Nineteen (68%) institutions shared their approved or draft policy. Eight (42%) of those policies included neonates. The polices identified 0 to 5 (median 2) factors to prioritize patients. The most common factors were short- (17, 90%) and long- (14, 74%) term predicted mortality. Pediatric scoring systems included Pediatric Logistic Organ Dysfunction-2 (12, 63%) and Score for Neonatal Acute Physiology and Perinatal Extensions-II (4, 21%). Thirteen (68%) policies described a formal algorithm. The most common tiebreakers were random/lottery (10, 71%) and life cycles (9, 64%). The majority (15, 79%) of policies specified the roles of triage team members and 13 (68%) precluded those participating in patient care from making triage decisions.
Conclusions: While many institutions still do not have pediatric triage policies, there appears to be a trend among those with policies to utilize a formal algorithm that focuses on short- and long-term predicted mortality and that incorporates age-appropriate scoring systems. Additional work is needed to expand access to pediatric-specific policies, to validate scoring systems, and to address health disparities.