Electronic reminders to facilitate longitudinal care: a mixed-methods study in general practices View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Christine Kersting, Birgitta Weltermann

ABSTRACT

BACKGROUND: Longitudinal, patient-centered care represents a challenge for general practitioners (GPs), and in this context, reminder systems can offer targeted support. This study aimed to identify details of such reminders: (1) contents of care addressed, (2) their mode of display in the electronic health record (EHR), (3) their visual appearance, (4) personnel responsibilities for editing and applying reminders, and (5) use of reminders for patient recall. METHODS: This mixed-methods study comprised (1) a cross-sectional survey among 185 GP practices from a German university network, and (2) structured observations of reminder utilization in six practices based on a clinical vignette describing a multimorbid senior with 26 care needs. Descriptive statistics were performed for survey data. The practice observations were analyzed by portraying different types of reminders. RESULTS: Seventy-three of 185 practices completed the survey (39.5%): 98.6% reported using reminders in the EHR. Frequent care contents addressed were allergies/adverse drug events (95.8%), preventive measures (93.1%), participation in disease management programs (87.5%), chronic diseases (75.0%), and upcoming vaccinations (68.1%). Practice observations showed a variety of mainly self-configured reminders. In a patients' EHR, information was displayed (1) compiled in a separate field, (2) scattered throughout the EHR, and/or (3) in a pop-up window. The visual appearance of electronic reminders varied: (1) colored fields with short text, (2) EHR entries and/or billing codes in pre-defined colors, (3) abbreviations within the treatment documentation, (4) symbols within the treatment documentation, (5) symbols linked to free text fields, and (6) traffic light schemes. Five practices self-designed reminders 'as needed'; one practice applied an EHR-embedded, pre-defined reminder system. Practices used reminders for a mean of 13.3 of the 26 aspects of care detailed in the clinical vignette (range: 9-21; standard deviation (SD): 4.3). Practices needed 20-35 min (mean: 27.5; SD: 6.1) to retrieve the information requested. CONCLUSIONS: Most GP practices use self-designed, visual reminders for some aspects of care, yet data-based, sophisticated solutions are needed to improve longitudinal care. TRIAL REGISTRATION: German Clinical Trials Register, unique identifying number: DRKS00008777 (date of registration: 06/19/2015). More... »

PAGES

148

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12911-016-0387-z

DOI

http://dx.doi.org/10.1186/s12911-016-0387-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030642425

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27881130


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electronic Health Records", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "General Practice", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Germany", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Primary Health Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Qualitative Research", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reminder Systems", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Institute for General Medicine, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kersting", 
        "givenName": "Christine", 
        "id": "sg:person.01160207041.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160207041.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institute for General Medicine, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weltermann", 
        "givenName": "Birgitta", 
        "id": "sg:person.0724533105.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724533105.46"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1748-5908-9-15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007512908", 
          "https://doi.org/10.1186/1748-5908-9-15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11606-007-0403-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010545806", 
          "https://doi.org/10.1007/s11606-007-0403-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1377/hlthaff.28.6.w1171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011645024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.284.11.1411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020819325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40814-016-0057-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022740097", 
          "https://doi.org/10.1186/s40814-016-0057-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mlr.0b013e31824642fd", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026275369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mlr.0b013e31824642fd", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026275369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6947-12-81", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036611867", 
          "https://doi.org/10.1186/1472-6947-12-81"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1197/jamia.m1788", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037034111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc08-2034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038581184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12875-016-0458-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039137264", 
          "https://doi.org/10.1186/s12875-016-0458-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinternmed.2011.394", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046778611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/14651858.cd001096.pub2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047485449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diacare.26.5.1497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049973795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/amiajnl-2013-002229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050728351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0035-1549941", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057336874"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "BACKGROUND: Longitudinal, patient-centered care represents a challenge for general practitioners (GPs), and in this context, reminder systems can offer targeted support. This study aimed to identify details of such reminders: (1) contents of care addressed, (2) their mode of display in the electronic health record (EHR), (3) their visual appearance, (4) personnel responsibilities for editing and applying reminders, and (5) use of reminders for patient recall.\nMETHODS: This mixed-methods study comprised (1) a cross-sectional survey among 185 GP practices from a German university network, and (2) structured observations of reminder utilization in six practices based on a clinical vignette describing a multimorbid senior with 26 care needs. Descriptive statistics were performed for survey data. The practice observations were analyzed by portraying different types of reminders.\nRESULTS: Seventy-three of 185 practices completed the survey (39.5%): 98.6% reported using reminders in the EHR. Frequent care contents addressed were allergies/adverse drug events (95.8%), preventive measures (93.1%), participation in disease management programs (87.5%), chronic diseases (75.0%), and upcoming vaccinations (68.1%). Practice observations showed a variety of mainly self-configured reminders. In a patients' EHR, information was displayed (1) compiled in a separate field, (2) scattered throughout the EHR, and/or (3) in a pop-up window. The visual appearance of electronic reminders varied: (1) colored fields with short text, (2) EHR entries and/or billing codes in pre-defined colors, (3) abbreviations within the treatment documentation, (4) symbols within the treatment documentation, (5) symbols linked to free text fields, and (6) traffic light schemes. Five practices self-designed reminders 'as needed'; one practice applied an EHR-embedded, pre-defined reminder system. Practices used reminders for a mean of 13.3 of the 26 aspects of care detailed in the clinical vignette (range: 9-21; standard deviation (SD): 4.3). Practices needed 20-35 min (mean: 27.5; SD: 6.1) to retrieve the information requested.\nCONCLUSIONS: Most GP practices use self-designed, visual reminders for some aspects of care, yet data-based, sophisticated solutions are needed to improve longitudinal care.\nTRIAL REGISTRATION: German Clinical Trials Register, unique identifying number: DRKS00008777 (date of registration: 06/19/2015).", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12911-016-0387-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1028432", 
        "issn": [
          "1472-6947"
        ], 
        "name": "BMC Medical Informatics and Decision Making", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "16"
      }
    ], 
    "name": "Electronic reminders to facilitate longitudinal care: a mixed-methods study in general practices", 
    "pagination": "148", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "91fa1219a5d420269be641872ce1a63e8468fe9409e35da0bfd89c6080529c3a"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27881130"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101088682"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12911-016-0387-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030642425"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12911-016-0387-z", 
      "https://app.dimensions.ai/details/publication/pub.1030642425"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:42", 
    "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/v90/0000000363_0000000363/records_70058_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12911-016-0387-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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/s12911-016-0387-z'

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/s12911-016-0387-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12911-016-0387-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12911-016-0387-z'


 

This table displays all metadata directly associated to this object as RDF triples.

158 TRIPLES      21 PREDICATES      52 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12911-016-0387-z schema:about N1798f93953964c19a0dcc16aa44bb4d6
2 N2432090eb9dd445388ed0059cc98ce72
3 N6adad926cf6848a59440a6ecb0008d66
4 N777e928b424642debfbee3067c0b085d
5 N84eb0773879844b9af1c98a8009a1239
6 Nc9d9b091ce6b42ab93b85cca5ffd252b
7 Nf2a4d9de356d441ca6414c9c48ea612f
8 Nfa1950d47bb84e07aea9b6da8d193b28
9 anzsrc-for:11
10 anzsrc-for:1117
11 schema:author Nf589754e08754072937446cbad3557ce
12 schema:citation sg:pub.10.1007/s11606-007-0403-1
13 sg:pub.10.1186/1472-6947-12-81
14 sg:pub.10.1186/1748-5908-9-15
15 sg:pub.10.1186/s12875-016-0458-3
16 sg:pub.10.1186/s40814-016-0057-z
17 https://doi.org/10.1001/archinternmed.2011.394
18 https://doi.org/10.1001/jama.284.11.1411
19 https://doi.org/10.1002/14651858.cd001096.pub2
20 https://doi.org/10.1055/s-0035-1549941
21 https://doi.org/10.1097/mlr.0b013e31824642fd
22 https://doi.org/10.1136/amiajnl-2013-002229
23 https://doi.org/10.1197/jamia.m1788
24 https://doi.org/10.1377/hlthaff.28.6.w1171
25 https://doi.org/10.2337/dc08-2034
26 https://doi.org/10.2337/diacare.26.5.1497
27 schema:datePublished 2016-12
28 schema:datePublishedReg 2016-12-01
29 schema:description BACKGROUND: Longitudinal, patient-centered care represents a challenge for general practitioners (GPs), and in this context, reminder systems can offer targeted support. This study aimed to identify details of such reminders: (1) contents of care addressed, (2) their mode of display in the electronic health record (EHR), (3) their visual appearance, (4) personnel responsibilities for editing and applying reminders, and (5) use of reminders for patient recall. METHODS: This mixed-methods study comprised (1) a cross-sectional survey among 185 GP practices from a German university network, and (2) structured observations of reminder utilization in six practices based on a clinical vignette describing a multimorbid senior with 26 care needs. Descriptive statistics were performed for survey data. The practice observations were analyzed by portraying different types of reminders. RESULTS: Seventy-three of 185 practices completed the survey (39.5%): 98.6% reported using reminders in the EHR. Frequent care contents addressed were allergies/adverse drug events (95.8%), preventive measures (93.1%), participation in disease management programs (87.5%), chronic diseases (75.0%), and upcoming vaccinations (68.1%). Practice observations showed a variety of mainly self-configured reminders. In a patients' EHR, information was displayed (1) compiled in a separate field, (2) scattered throughout the EHR, and/or (3) in a pop-up window. The visual appearance of electronic reminders varied: (1) colored fields with short text, (2) EHR entries and/or billing codes in pre-defined colors, (3) abbreviations within the treatment documentation, (4) symbols within the treatment documentation, (5) symbols linked to free text fields, and (6) traffic light schemes. Five practices self-designed reminders 'as needed'; one practice applied an EHR-embedded, pre-defined reminder system. Practices used reminders for a mean of 13.3 of the 26 aspects of care detailed in the clinical vignette (range: 9-21; standard deviation (SD): 4.3). Practices needed 20-35 min (mean: 27.5; SD: 6.1) to retrieve the information requested. CONCLUSIONS: Most GP practices use self-designed, visual reminders for some aspects of care, yet data-based, sophisticated solutions are needed to improve longitudinal care. TRIAL REGISTRATION: German Clinical Trials Register, unique identifying number: DRKS00008777 (date of registration: 06/19/2015).
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf Na45b46a644eb4b1d82871f18f5ab23b8
34 Ne09f296266b64cdfa81f8cb1bbe385aa
35 sg:journal.1028432
36 schema:name Electronic reminders to facilitate longitudinal care: a mixed-methods study in general practices
37 schema:pagination 148
38 schema:productId N04b98e4ad60c4af8a2bab4f40ab191cf
39 N42ed1a4953204a70bd3c21957f9f8709
40 N63011601e2294514a4aa98a88746326e
41 N81a8e1638c434493bde3f9818a361f35
42 Nf0de5a147ac048c6891c23a1665519f2
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030642425
44 https://doi.org/10.1186/s12911-016-0387-z
45 schema:sdDatePublished 2019-04-11T12:42
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N3dd4b33da5c242368e432f775ee1d918
48 schema:url https://link.springer.com/10.1186%2Fs12911-016-0387-z
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N04b98e4ad60c4af8a2bab4f40ab191cf schema:name doi
53 schema:value 10.1186/s12911-016-0387-z
54 rdf:type schema:PropertyValue
55 N0e1281560d09407598a4fd1fc454720b schema:name Institute for General Medicine, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany
56 rdf:type schema:Organization
57 N1798f93953964c19a0dcc16aa44bb4d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
58 schema:name Humans
59 rdf:type schema:DefinedTerm
60 N2432090eb9dd445388ed0059cc98ce72 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
61 schema:name Electronic Health Records
62 rdf:type schema:DefinedTerm
63 N3dd4b33da5c242368e432f775ee1d918 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N42ed1a4953204a70bd3c21957f9f8709 schema:name dimensions_id
66 schema:value pub.1030642425
67 rdf:type schema:PropertyValue
68 N63011601e2294514a4aa98a88746326e schema:name nlm_unique_id
69 schema:value 101088682
70 rdf:type schema:PropertyValue
71 N6adad926cf6848a59440a6ecb0008d66 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Primary Health Care
73 rdf:type schema:DefinedTerm
74 N777e928b424642debfbee3067c0b085d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Germany
76 rdf:type schema:DefinedTerm
77 N81a8e1638c434493bde3f9818a361f35 schema:name readcube_id
78 schema:value 91fa1219a5d420269be641872ce1a63e8468fe9409e35da0bfd89c6080529c3a
79 rdf:type schema:PropertyValue
80 N84eb0773879844b9af1c98a8009a1239 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Qualitative Research
82 rdf:type schema:DefinedTerm
83 N98589640af6e4163925a6ff245192290 rdf:first sg:person.0724533105.46
84 rdf:rest rdf:nil
85 Na45b46a644eb4b1d82871f18f5ab23b8 schema:volumeNumber 16
86 rdf:type schema:PublicationVolume
87 Nc9d9b091ce6b42ab93b85cca5ffd252b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Reminder Systems
89 rdf:type schema:DefinedTerm
90 Nd7f58ad479a04bbfa54b2e32e012d96b schema:name Institute for General Medicine, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany
91 rdf:type schema:Organization
92 Ne09f296266b64cdfa81f8cb1bbe385aa schema:issueNumber 1
93 rdf:type schema:PublicationIssue
94 Nf0de5a147ac048c6891c23a1665519f2 schema:name pubmed_id
95 schema:value 27881130
96 rdf:type schema:PropertyValue
97 Nf2a4d9de356d441ca6414c9c48ea612f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name General Practice
99 rdf:type schema:DefinedTerm
100 Nf589754e08754072937446cbad3557ce rdf:first sg:person.01160207041.66
101 rdf:rest N98589640af6e4163925a6ff245192290
102 Nfa1950d47bb84e07aea9b6da8d193b28 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Cross-Sectional Studies
104 rdf:type schema:DefinedTerm
105 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
106 schema:name Medical and Health Sciences
107 rdf:type schema:DefinedTerm
108 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
109 schema:name Public Health and Health Services
110 rdf:type schema:DefinedTerm
111 sg:journal.1028432 schema:issn 1472-6947
112 schema:name BMC Medical Informatics and Decision Making
113 rdf:type schema:Periodical
114 sg:person.01160207041.66 schema:affiliation N0e1281560d09407598a4fd1fc454720b
115 schema:familyName Kersting
116 schema:givenName Christine
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160207041.66
118 rdf:type schema:Person
119 sg:person.0724533105.46 schema:affiliation Nd7f58ad479a04bbfa54b2e32e012d96b
120 schema:familyName Weltermann
121 schema:givenName Birgitta
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724533105.46
123 rdf:type schema:Person
124 sg:pub.10.1007/s11606-007-0403-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010545806
125 https://doi.org/10.1007/s11606-007-0403-1
126 rdf:type schema:CreativeWork
127 sg:pub.10.1186/1472-6947-12-81 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036611867
128 https://doi.org/10.1186/1472-6947-12-81
129 rdf:type schema:CreativeWork
130 sg:pub.10.1186/1748-5908-9-15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007512908
131 https://doi.org/10.1186/1748-5908-9-15
132 rdf:type schema:CreativeWork
133 sg:pub.10.1186/s12875-016-0458-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039137264
134 https://doi.org/10.1186/s12875-016-0458-3
135 rdf:type schema:CreativeWork
136 sg:pub.10.1186/s40814-016-0057-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1022740097
137 https://doi.org/10.1186/s40814-016-0057-z
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1001/archinternmed.2011.394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046778611
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1001/jama.284.11.1411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020819325
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1002/14651858.cd001096.pub2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047485449
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1055/s-0035-1549941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057336874
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1097/mlr.0b013e31824642fd schema:sameAs https://app.dimensions.ai/details/publication/pub.1026275369
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1136/amiajnl-2013-002229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050728351
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1197/jamia.m1788 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037034111
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1377/hlthaff.28.6.w1171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011645024
154 rdf:type schema:CreativeWork
155 https://doi.org/10.2337/dc08-2034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038581184
156 rdf:type schema:CreativeWork
157 https://doi.org/10.2337/diacare.26.5.1497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049973795
158 rdf:type schema:CreativeWork
 




Preview window. Press ESC to close (or click here)


...