Ontology type: schema:ScholarlyArticle Open Access: True
2016-12
AUTHORSJennifer Stevenson, Nikesh Parekh, Khalid Ali, Jean Timeyin, Stephen Bremner, Tischa Van Der Cammen, Jane Allen, Rebekah Schiff, Jatinder Harchowal, Graham Davies, Chakravarthi Rajkumar
ABSTRACTBACKGROUND: Medication related harm (MRH) is a common cause of morbidity and hospital admission in the elderly, and has significant cost implications for both primary and secondary healthcare resources. The development of risk prediction models has become an increasingly common phenomenon in medicine and can be useful to guide objective clinical decision making, resource allocation and intervention. There are no risk prediction models that are widely used in clinical practice to identify elderly patients at high risk of MRH following hospital discharge. The aim of this study is to develop a risk prediction model (RPM) to identify elderly patients at high risk of MRH upon discharge from hospital, and to compare this with routine clinical judgment. METHODS/DESIGN: This is a multi-centre, prospective observational study following a cohort of patients for 8 weeks after hospital discharge. Data collection including patient characteristics, medication use, social factors and frailty will take place prior to patient discharge and then the patient will be followed up in the community over the next 8 weeks to determine if they have experienced MRH. Research pharmacists will determine whether patients have experienced MRH by prospectively reviewing records for unplanned emergency department attendance, hospital readmission and GP consultation related to MRH. Research pharmacists will also telephone patients directly to determine self-reported MRH, which patients may not have sought further medical attention for. The data collected will inform the development of a RPM which will be externally validated in a follow-up study. DISCUSSION: There are no RPMs that are used in clinical practice to help stratify elderly patients at high risk of MRH in the community following hospital discharge, despite this being a significant public health problem. This study plans to develop a clinically useful RPM that is better than routine clinical judgment. As this is a multi-centre study involving clinical settings that serve elderly people of heterogeneous sociodemographic background, it is anticipated that this RPM will be generalizable. More... »
PAGES22
http://scigraph.springernature.com/pub.10.1186/s12877-016-0191-8
DOIhttp://dx.doi.org/10.1186/s12877-016-0191-8
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1022256697
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/26787530
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"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Aged, 80 and over",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Emergency Service, Hospital",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Follow-Up Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Inappropriate Prescribing",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Medication Therapy Management",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Models, Organizational",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Patient Discharge",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Patient Discharge Summaries",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Program Development",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Prospective Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Research Design",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Risk Assessment",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "United Kingdom",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Guy's and St Thomas' NHS Foundation Trust",
"id": "https://www.grid.ac/institutes/grid.420545.2",
"name": [
"Guy\u2019s and St Thomas\u2018NHS Foundation Trust, London, UK"
],
"type": "Organization"
},
"familyName": "Stevenson",
"givenName": "Jennifer",
"id": "sg:person.01055770172.39",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055770172.39"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Brighton and Sussex Medical School",
"id": "https://www.grid.ac/institutes/grid.414601.6",
"name": [
"Brighton and Sussex Medical School, Brighton, UK"
],
"type": "Organization"
},
"familyName": "Parekh",
"givenName": "Nikesh",
"id": "sg:person.0767210771.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767210771.40"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Brighton and Sussex Medical School",
"id": "https://www.grid.ac/institutes/grid.414601.6",
"name": [
"Brighton and Sussex Medical School, Brighton, UK"
],
"type": "Organization"
},
"familyName": "Ali",
"givenName": "Khalid",
"id": "sg:person.01273457162.22",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273457162.22"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Brighton and Sussex University Hospitals NHS Trust",
"id": "https://www.grid.ac/institutes/grid.410725.5",
"name": [
"Brighton and Sussex University Hospitals\u2019 Trust, Brighton, UK"
],
"type": "Organization"
},
"familyName": "Timeyin",
"givenName": "Jean",
"id": "sg:person.01103437371.83",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103437371.83"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Brighton and Sussex Medical School",
"id": "https://www.grid.ac/institutes/grid.414601.6",
"name": [
"Brighton and Sussex Medical School, Brighton, UK"
],
"type": "Organization"
},
"familyName": "Bremner",
"givenName": "Stephen",
"id": "sg:person.01166325226.11",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166325226.11"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Delft University of Technology",
"id": "https://www.grid.ac/institutes/grid.5292.c",
"name": [
"Delft University of Technology, Delft, Netherlands"
],
"type": "Organization"
},
"familyName": "Van Der Cammen",
"givenName": "Tischa",
"id": "sg:person.01322145217.52",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322145217.52"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Brighton and Sussex University Hospitals NHS Trust",
"id": "https://www.grid.ac/institutes/grid.410725.5",
"name": [
"Brighton and Sussex University Hospitals\u2019 Trust, Brighton, UK"
],
"type": "Organization"
},
"familyName": "Allen",
"givenName": "Jane",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Guy's and St Thomas' NHS Foundation Trust",
"id": "https://www.grid.ac/institutes/grid.420545.2",
"name": [
"Guy\u2019s and St Thomas\u2018NHS Foundation Trust, London, UK"
],
"type": "Organization"
},
"familyName": "Schiff",
"givenName": "Rebekah",
"id": "sg:person.01143747032.71",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143747032.71"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Royal Marsden NHS Foundation Trust",
"id": "https://www.grid.ac/institutes/grid.5072.0",
"name": [
"The Royal Marsden NHS Foundation Trust, London, UK"
],
"type": "Organization"
},
"familyName": "Harchowal",
"givenName": "Jatinder",
"id": "sg:person.014521032450.03",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014521032450.03"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "King's College London",
"id": "https://www.grid.ac/institutes/grid.13097.3c",
"name": [
"King\u2019s College London, London, UK"
],
"type": "Organization"
},
"familyName": "Davies",
"givenName": "Graham",
"id": "sg:person.01145762535.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145762535.49"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Brighton and Sussex Medical School",
"id": "https://www.grid.ac/institutes/grid.414601.6",
"name": [
"Brighton and Sussex Medical School, Brighton, UK"
],
"type": "Organization"
},
"familyName": "Rajkumar",
"givenName": "Chakravarthi",
"id": "sg:person.0657047622.84",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657047622.84"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1001/archinternmed.2010.153",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005849501"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmj.329.7456.15",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009651897"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1015570104121",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012653457",
"https://doi.org/10.1023/a:1015570104121"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf03262282",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014978594",
"https://doi.org/10.1007/bf03262282"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2125.2010.03751.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016947415"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2125.2010.03751.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016947415"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/emj.2003.011148",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021060610"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ageing/afr051",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021253038"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1553-2712.1996.tb03538.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024134168"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2318-8-26",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024368958",
"https://doi.org/10.1186/1471-2318-8-26"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ageing/29.1.35",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025362106"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0111254",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025466351"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00005650-198601000-00007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026553243"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00005650-198601000-00007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026553243"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.2165/11631760-000000000-00000",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036648863",
"https://doi.org/10.2165/11631760-000000000-00000"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0272989x0102100106",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038050380"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0272989x0102100106",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038050380"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/clpt.1981.154",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040267576",
"https://doi.org/10.1038/clpt.1981.154"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2147/cia.s65475",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040356936"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.eurger.2011.07.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042001026"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pmed.1001671",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043761900"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejmsa1103053",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046654903"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.2165/00044011-199713010-00006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050843741",
"https://doi.org/10.2165/00044011-199713010-00006"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s0959259810000171",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1054903672"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s0959259810000171",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1054903672"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.2165/11632630-000000000-00000",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069132354",
"https://doi.org/10.2165/11632630-000000000-00000"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1076376836",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/106002809002401114",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078586571"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/106002809002401114",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078586571"
],
"type": "CreativeWork"
}
],
"datePublished": "2016-12",
"datePublishedReg": "2016-12-01",
"description": "BACKGROUND: Medication related harm (MRH) is a common cause of morbidity and hospital admission in the elderly, and has significant cost implications for both primary and secondary healthcare resources. The development of risk prediction models has become an increasingly common phenomenon in medicine and can be useful to guide objective clinical decision making, resource allocation and intervention. There are no risk prediction models that are widely used in clinical practice to identify elderly patients at high risk of MRH following hospital discharge. The aim of this study is to develop a risk prediction model (RPM) to identify elderly patients at high risk of MRH upon discharge from hospital, and to compare this with routine clinical judgment.\nMETHODS/DESIGN: This is a multi-centre, prospective observational study following a cohort of patients for 8\u00a0weeks after hospital discharge. Data collection including patient characteristics, medication use, social factors and frailty will take place prior to patient discharge and then the patient will be followed up in the community over the next 8\u00a0weeks to determine if they have experienced MRH. Research pharmacists will determine whether patients have experienced MRH by prospectively reviewing records for unplanned emergency department attendance, hospital readmission and GP consultation related to MRH. Research pharmacists will also telephone patients directly to determine self-reported MRH, which patients may not have sought further medical attention for. The data collected will inform the development of a RPM which will be externally validated in a follow-up study.\nDISCUSSION: There are no RPMs that are used in clinical practice to help stratify elderly patients at high risk of MRH in the community following hospital discharge, despite this being a significant public health problem. This study plans to develop a clinically useful RPM that is better than routine clinical judgment. As this is a multi-centre study involving clinical settings that serve elderly people of heterogeneous sociodemographic background, it is anticipated that this RPM will be generalizable.",
"genre": "research_article",
"id": "sg:pub.10.1186/s12877-016-0191-8",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.5144299",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1024943",
"issn": [
"1471-2318"
],
"name": "BMC Geriatrics",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "16"
}
],
"name": "Protocol for a Prospective (P) study to develop a model to stratify the risk (RI) of medication (M) related harm in hospitalized elderly (E) patients in the UK (The PRIME study)",
"pagination": "22",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"6a0907109a5f49d60667b5db215ba238c5116beff7d12ebadf3dd957cc7557ad"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"26787530"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"100968548"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s12877-016-0191-8"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1022256697"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s12877-016-0191-8",
"https://app.dimensions.ai/details/publication/pub.1022256697"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T15:12",
"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_8663_00000586.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1186%2Fs12877-016-0191-8"
}
]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/s12877-016-0191-8'
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/s12877-016-0191-8'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12877-016-0191-8'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12877-016-0191-8'
This table displays all metadata directly associated to this object as RDF triples.
292 TRIPLES
21 PREDICATES
68 URIs
36 LITERALS
24 BLANK NODES