Ontology type: schema:ScholarlyArticle Open Access: True
2011-12
AUTHORSKarin Källander, Daniel Kadobera, Thomas N Williams, Rikke Thoft Nielsen, Lucy Yevoo, Aloysius Mutebi, Jonas Akpakli, Clement Narh, Margaret Gyapong, Alberta Amu, Peter Waiswa
ABSTRACTBACKGROUND: Effective implementation of child survival interventions depends on improved understanding of cultural, social, and health system factors affecting utilization of health care. Never the less, no standardized instrument exists for collecting and interpreting information on how to avert death and improve the implementation of child survival interventions. OBJECTIVE: To describe the methodology, development, and first results of a standard social autopsy tool for the collection of information to understand common barriers to health care, risky behaviors, and missed opportunities for health intervention in deceased children under 5 years old. METHODS: Under the INDEPTH Network, a social autopsy working group was formed to reach consensus around a standard social autopsy tool for neonatal and child death. The details around 434 child deaths in Iganga/Mayuge Health and Demographic Surveillance Site (HDSS) in Uganda and 40 child deaths in Dodowa HDSS in Ghana were investigated over 12 to 18 months. Interviews with the caretakers of these children elicited information on what happened before death, including signs and symptoms, contact with health services, details on treatments, and details of doctors. These social autopsies were used to assess the contributions of delays in care seeking and case management to the childhood deaths. RESULTS: At least one severe symptom had been recognized prior to death in 96% of the children in Iganga/Mayuge HDSS and in 70% in Dodowa HDSS, yet 32% and 80% of children were first treated at home, respectively. Twenty percent of children in Iganga/Mayuge HDSS and 13% of children in Dodowa HDSS were never taken for care outside the home. In both countries most went to private providers. In Iganga/Mayuge HDSS the main delays were caused by inadequate case management by the health provider, while in Dodowa HDSS the main delays were in the home. CONCLUSION: While delay at home was a main obstacle to prompt and appropriate treatment in Dodowa HDSS, there were severe challenges to prompt and adequate case management in the health system in both study sites in Ghana and Uganda. Meanwhile, caretaker awareness of danger signs needs to improve in both countries to promote early care seeking and to reduce the number of children needing referral. Social autopsy methods can improve this understanding, which can assist health planners to prioritize scarce resources appropriately. More... »
PAGES44
http://scigraph.springernature.com/pub.10.1186/1478-7954-9-44
DOIhttp://dx.doi.org/10.1186/1478-7954-9-44
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1036735396
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/21819604
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Public Health and Health Services",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Malaria Consortium",
"id": "https://www.grid.ac/institutes/grid.452563.3",
"name": [
"Department of Health Policy, Planning & Management, School of Public Health, Makerere University, P.O. Box 7072, Kampala, Uganda",
"ganga/Mayuge Health & Demographic Surveillance Site (HDSS), P.O. Box 111, Iganga, Uganda",
"Department of Public Health Sciences, Division of International Health (IHCAR), Karolinska Institutet, 17176, Stockholm, TX, Sweden",
"Malaria Consortium Africa, P.O box 8045, Kampala, Uganda"
],
"type": "Organization"
},
"familyName": "K\u00e4llander",
"givenName": "Karin",
"id": "sg:person.01116021363.01",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116021363.01"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"ganga/Mayuge Health & Demographic Surveillance Site (HDSS), P.O. Box 111, Iganga, Uganda"
],
"type": "Organization"
},
"familyName": "Kadobera",
"givenName": "Daniel",
"id": "sg:person.0754734172.03",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754734172.03"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Oxford",
"id": "https://www.grid.ac/institutes/grid.4991.5",
"name": [
"KEMRI-Wellcome Trust Research Programme, Epidemiological and Demographic Surveillance System (EPI-DSS) Group, Kilifi, Kenya",
"Nuffield Department of Clinical Medicine, Centre for Tropical Medicine, University of Oxford, Churchill Hospital, Old Road, OX3 7LJ, Oxford, UK"
],
"type": "Organization"
},
"familyName": "Williams",
"givenName": "Thomas N",
"id": "sg:person.0725121271.03",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725121271.03"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Statens Serum Institut",
"id": "https://www.grid.ac/institutes/grid.6203.7",
"name": [
"Bandim Health Project, 1004 Bissau Codex, Bissau, Guinea-Bissau",
"Statens Serum Institut, 2300, Copenhagen, Denmark"
],
"type": "Organization"
},
"familyName": "Nielsen",
"givenName": "Rikke Thoft",
"id": "sg:person.0756024536.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756024536.44"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Dodowa Health Research Centre, Ghana Health Service, P.O. Box 1, Dodowa, Ghana"
],
"type": "Organization"
},
"familyName": "Yevoo",
"givenName": "Lucy",
"id": "sg:person.01024137736.04",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024137736.04"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Makerere University",
"id": "https://www.grid.ac/institutes/grid.11194.3c",
"name": [
"Department of Health Policy, Planning & Management, School of Public Health, Makerere University, P.O. Box 7072, Kampala, Uganda",
"ganga/Mayuge Health & Demographic Surveillance Site (HDSS), P.O. Box 111, Iganga, Uganda"
],
"type": "Organization"
},
"familyName": "Mutebi",
"givenName": "Aloysius",
"id": "sg:person.01354147424.98",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354147424.98"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Dodowa Health Research Centre, Ghana Health Service, P.O. Box 1, Dodowa, Ghana"
],
"type": "Organization"
},
"familyName": "Akpakli",
"givenName": "Jonas",
"id": "sg:person.01140366336.30",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140366336.30"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Dodowa Health Research Centre, Ghana Health Service, P.O. Box 1, Dodowa, Ghana"
],
"type": "Organization"
},
"familyName": "Narh",
"givenName": "Clement",
"id": "sg:person.01206501536.13",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206501536.13"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Dodowa Health Research Centre, Ghana Health Service, P.O. Box 1, Dodowa, Ghana"
],
"type": "Organization"
},
"familyName": "Gyapong",
"givenName": "Margaret",
"id": "sg:person.01176763045.42",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176763045.42"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Dodowa Health Research Centre, Ghana Health Service, P.O. Box 1, Dodowa, Ghana"
],
"type": "Organization"
},
"familyName": "Amu",
"givenName": "Alberta",
"id": "sg:person.01322730136.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322730136.44"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Makerere University",
"id": "https://www.grid.ac/institutes/grid.11194.3c",
"name": [
"Department of Health Policy, Planning & Management, School of Public Health, Makerere University, P.O. Box 7072, Kampala, Uganda",
"ganga/Mayuge Health & Demographic Surveillance Site (HDSS), P.O. Box 111, Iganga, Uganda"
],
"type": "Organization"
},
"familyName": "Waiswa",
"givenName": "Peter",
"id": "sg:person.0673216665.66",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673216665.66"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1111/j.1365-3156.2004.01319.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004074390"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(00)03542-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004979477"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(10)60549-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007075286"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2010.02557.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013891600"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2010.02557.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013891600"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1475-2875-8-131",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022190892",
"https://doi.org/10.1186/1475-2875-8-131"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(07)61307-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023046407"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2009.02237.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029970918"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2007.01963.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030613408"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2007.01963.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030613408"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/heapol/12.3.214",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030729128"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2007.01981.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033111502"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2007.01981.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033111502"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijgo.2011.01.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039609017"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0277-9536(00)00100-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040309838"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(04)16411-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043158621"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pmed.0040327",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043945614"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2009.02349.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045514502"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-3156.2009.02349.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045514502"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1475-2875-3-27",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047115136",
"https://doi.org/10.1186/1475-2875-3-27"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0277-9536(98)00275-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048339767"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0140-6736(93)91545-w",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049315680"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0140-6736(93)91545-w",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049315680"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0277-9536(94)90226-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049705401"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0277-9536(97)00195-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051635069"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0001-706x(03)00113-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052920371"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0001-706x(03)00113-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052920371"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/14034940510032202",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058389739"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/14034940510032202",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058389739"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ije/12.4.465",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059673055"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2471/blt.05.027003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070836660"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2471/blt.07.043745",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070836962"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2471/blt.07.049353",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070837056"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1074361346",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1076827713",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1076827714",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1083137862",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1083238098",
"type": "CreativeWork"
}
],
"datePublished": "2011-12",
"datePublishedReg": "2011-12-01",
"description": "BACKGROUND: Effective implementation of child survival interventions depends on improved understanding of cultural, social, and health system factors affecting utilization of health care. Never the less, no standardized instrument exists for collecting and interpreting information on how to avert death and improve the implementation of child survival interventions.\nOBJECTIVE: To describe the methodology, development, and first results of a standard social autopsy tool for the collection of information to understand common barriers to health care, risky behaviors, and missed opportunities for health intervention in deceased children under 5 years old.\nMETHODS: Under the INDEPTH Network, a social autopsy working group was formed to reach consensus around a standard social autopsy tool for neonatal and child death. The details around 434 child deaths in Iganga/Mayuge Health and Demographic Surveillance Site (HDSS) in Uganda and 40 child deaths in Dodowa HDSS in Ghana were investigated over 12 to 18 months. Interviews with the caretakers of these children elicited information on what happened before death, including signs and symptoms, contact with health services, details on treatments, and details of doctors. These social autopsies were used to assess the contributions of delays in care seeking and case management to the childhood deaths.\nRESULTS: At least one severe symptom had been recognized prior to death in 96% of the children in Iganga/Mayuge HDSS and in 70% in Dodowa HDSS, yet 32% and 80% of children were first treated at home, respectively. Twenty percent of children in Iganga/Mayuge HDSS and 13% of children in Dodowa HDSS were never taken for care outside the home. In both countries most went to private providers. In Iganga/Mayuge HDSS the main delays were caused by inadequate case management by the health provider, while in Dodowa HDSS the main delays were in the home.\nCONCLUSION: While delay at home was a main obstacle to prompt and appropriate treatment in Dodowa HDSS, there were severe challenges to prompt and adequate case management in the health system in both study sites in Ghana and Uganda. Meanwhile, caretaker awareness of danger signs needs to improve in both countries to promote early care seeking and to reduce the number of children needing referral. Social autopsy methods can improve this understanding, which can assist health planners to prioritize scarce resources appropriately.",
"genre": "research_article",
"id": "sg:pub.10.1186/1478-7954-9-44",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.3637611",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.3629407",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1032338",
"issn": [
"1478-7954"
],
"name": "Population Health Metrics",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "9"
}
],
"name": "Social autopsy: INDEPTH Network experiences of utility, process, practices, and challenges in investigating causes and contributors to mortality",
"pagination": "44",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"aefe440841f54d418f290181fc31899d223738864d7cef2b94d0aa43a996e8f1"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"21819604"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101178411"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/1478-7954-9-44"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1036735396"
]
}
],
"sameAs": [
"https://doi.org/10.1186/1478-7954-9-44",
"https://app.dimensions.ai/details/publication/pub.1036735396"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T15:52",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000514.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1186%2F1478-7954-9-44"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1478-7954-9-44'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1478-7954-9-44'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1478-7954-9-44'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1478-7954-9-44'
This table displays all metadata directly associated to this object as RDF triples.
259 TRIPLES
21 PREDICATES
60 URIs
21 LITERALS
9 BLANK NODES