Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol.
adult intensive & critical care
epidemiology
public health
quality in health care
Journal
BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874
Informations de publication
Date de publication:
05 10 2020
05 10 2020
Historique:
entrez:
6
10
2020
pubmed:
7
10
2020
medline:
15
5
2021
Statut:
epublish
Résumé
Sepsis is a major cause of preventable deaths in hospitals. This study aims to investigate if sepsis incidence and quality of care can be assessed using inpatient administrative health data (IAHD). Design: Retrospective observational validation study using routine data to assess the diagnostic accuracy of sepsis coding in IAHD regarding sepsis diagnosis based on medical record review. A stratified sample of 10 000 patients with an age ≥15 years treated in between 2015 and 2017 in 10 German hospitals is investigated. All available information of medical records is screened by trained physicians to identify true sepsis cases ('gold standard') both according to current ('sepsis-1') definitions and new ('sepsis-3') definitions. Data from medical records are linked to IAHD on patient level using a pseudonym. Proportions of cases with sepsis according to sepsis-1 and sepsis-3 definitions are calculated and compared with estimates from coding of sepsis in IAHD. Predictive accuracy (sensitivity, specificity) of different coding abstraction strategies regarding the gold standard is estimated. Predictive accuracy of mortality risk factors obtained from IAHD regarding the respective risk factors obtained from medical records is calculated. An IAHD-based risk model for hospital mortality is compared with a record-based risk model regarding model-fit and predicted risk of death. Analyses adjust for sampling weights. The obtained estimates of sensitivity and specificity for sepsis coding in IAHD are used to estimate adjusted incidence proportions of sepsis based on German national IAHD. The study has been approved by the ethics commission of the Jena University Hospital (No. 2018-1065-Daten). The results of the study will be discussed in an expert panel to write a memorandum on improving the utility of IAHD for epidemiological surveillance and quality management of sepsis care. DRKS00017775; Pre-results.
Identifiants
pubmed: 33020079
pii: bmjopen-2019-035763
doi: 10.1136/bmjopen-2019-035763
pmc: PMC7537443
doi:
Banques de données
DRKS
['DRKS00017775']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e035763Investigateurs
Anja Ball
(A)
Kathrin Scholtz
(K)
Claudia Spies
(C)
Jens Christian Schewe
(JC)
Verena Steinberg
(V)
Susanne Behrend
(S)
Corinna Michel
(C)
Stefan Münster
(S)
Beate Boden
(B)
Angelika Göckeler
(A)
Sebastian Zinn
(S)
Holger Neb
(H)
Kai Zacharowski
(K)
Elke Schmitt
(E)
Philipp Helmer
(P)
Khanh Le Ngoc
(KL)
Moritz Herzberg
(M)
Ferdinand Cornelius Steinsberger
(FC)
Sara Marie Denn
(SM)
Emmanuel Schneck
(E)
Christian Koch
(C)
Anja Kühn
(A)
Sven-Olaf Kuhn
(SO)
Christian Scheer
(C)
Christian Fuchs
(C)
Gerhard Schneider
(G)
Jan Meschede
(J)
Kirill Holbeck
(K)
Informations de copyright
© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
Références
Crit Care Med. 2016 Feb;44(2):319-27
pubmed: 26496452
JAMA Netw Open. 2019 Feb 1;2(2):e187571
pubmed: 30768188
J Clin Epidemiol. 1992 Jan;45(1):1-7
pubmed: 1738006
Epidemiol Infect. 2010 Nov;138(11):1674-8
pubmed: 20196903
Med Care. 2014 Jun;52(6):e39-43
pubmed: 23001437
J Clin Epidemiol. 2007 Feb;60(2):155-62
pubmed: 17208121
Crit Care Med. 2013 Apr;41(4):945-53
pubmed: 23385099
N Engl J Med. 2015 Apr 23;372(17):1629-38
pubmed: 25776936
Crit Care Med. 1992 Jun;20(6):864-74
pubmed: 1597042
Med Care. 1998 Jan;36(1):8-27
pubmed: 9431328
PLoS One. 2018 Jul 30;13(7):e0198847
pubmed: 30059504
Med J Aust. 2016 Feb 1;204(2):73
pubmed: 26821106
Crit Care Med. 2001 Jul;29(7):1303-10
pubmed: 11445675
Am J Epidemiol. 2007 Mar 15;165(6):710-8
pubmed: 17182981
JAMA. 2016 Feb 23;315(8):801-10
pubmed: 26903338
Br J Math Stat Psychol. 2008 May;61(Pt 1):29-48
pubmed: 18482474
N Engl J Med. 2017 Aug 3;377(5):414-417
pubmed: 28658587
BMJ Qual Saf. 2020 Sep;29(9):735-745
pubmed: 32029574
Intensive Care Med. 2018 Nov;44(11):1826-1835
pubmed: 30284637
PLoS Med. 2015 Oct 06;12(10):e1001885
pubmed: 26440803
J Chronic Dis. 1987;40(5):373-83
pubmed: 3558716
Infect Control Hosp Epidemiol. 2016 Feb;37(2):163-71
pubmed: 26526737
Dtsch Arztebl Int. 2016 Mar 11;113(10):159-66
pubmed: 27010950
JAMA. 2017 Oct 3;318(13):1241-1249
pubmed: 28903154
BMC Health Serv Res. 2019 Apr 11;19(1):221
pubmed: 30971244
J Clin Epidemiol. 2011 Aug;64(8):821-9
pubmed: 21194889
Med Care. 2005 Nov;43(11):1130-9
pubmed: 16224307
Ann Intern Med. 1997 Oct 15;127(8 Pt 2):666-74
pubmed: 9382378
N Engl J Med. 2003 Apr 17;348(16):1546-54
pubmed: 12700374
Prev Vet Med. 2014 Jan 1;113(1):13-22
pubmed: 24416798
Crit Care. 2015 Apr 06;19:139
pubmed: 25887596
PLoS One. 2018 Mar 20;13(3):e0194371
pubmed: 29558486
BMJ Open. 2013 Oct 10;3(10):e003716
pubmed: 24114372
Biometrics. 1977 Mar;33(1):159-74
pubmed: 843571
Am J Epidemiol. 1978 Jan;107(1):71-6
pubmed: 623091
Am J Respir Crit Care Med. 2016 Feb 1;193(3):259-72
pubmed: 26414292