Skip to main content
Top
Published in: Implementation Science 1/2018

Open Access 01-12-2018 | Study protocol

The German Quality Network Sepsis: study protocol for the evaluation of a quality collaborative on decreasing sepsis-related mortality in a quasi-experimental difference-in-differences design

Authors: Daniel Schwarzkopf, Hendrik Rüddel, Matthias Gründling, Christian Putensen, Konrad Reinhart

Published in: Implementation Science | Issue 1/2018

Login to get access

Abstract

Background

While sepsis-related mortality decreased substantially in other developed countries, mortality of severe sepsis remained as high as 44% in Germany. A recent German cluster randomized trial was not able to improve guideline adherence and decrease sepsis-related mortality within the participating hospitals, partly based on lacking support by hospital management and lacking resources for documentation of prospective data. Thus, more pragmatic approaches are needed to improve quality of sepsis care in Germany. The primary objective of the study is to decrease sepsis-related hospital mortality within a quality collaborative relying on claims data.

Method

The German Quality Network Sepsis (GQNS) is a quality collaborative involving 75 hospitals. This study protocol describes the conduction and evaluation of the start-up period of the GQNS running from March 2016 to August 2018. Democratic structures assure participatory action, a study coordination bureau provides central support and resources, and local interdisciplinary quality improvement teams implement changes within the participating hospitals. Quarterly quality reports focusing on risk-adjusted hospital mortality in cases with sepsis based on claims data are provided. Hospitals committed to publish their individual risk-adjusted mortality compared to the German average. A complex risk-model is used to control for differences in patient-related risk factors. Hospitals are encouraged to implement a bundle of interventions, e.g., interdisciplinary case analyses, external peer-reviews, hospital-wide staff education, and implementation of rapid response teams. The effectiveness of the GQNS is evaluated in a quasi-experimental difference-in-differences design by comparing the change of hospital mortality of cases with sepsis with organ dysfunction from a retrospective baseline period (January 2014 to December 2015) and the intervention period (April 2016 to March 2018) between the participating hospitals and all other German hospitals. Structural and process quality indicators of sepsis care as well as efforts for quality improvement are monitored regularly.

Discussion

The GQNS is a large-scale quality collaborative using a pragmatic approach based on claims data. A complex risk-adjustment model allows valid quality comparisons between hospitals and with the German average. If this study finds the approach to be useful for improving quality of sepsis care, it may also be applied to other diseases.

Trial registration

Appendix
Available only for authorised users
Literature
1.
2.
go back to reference Singer M, Deutschman CS, Seymour CW, et al. The third international consensus definitions for sepsis and septic shock (sepsis-3). JAMA-J Am Med Assoc. 2016;315(8):801–10.CrossRef Singer M, Deutschman CS, Seymour CW, et al. The third international consensus definitions for sepsis and septic shock (sepsis-3). JAMA-J Am Med Assoc. 2016;315(8):801–10.CrossRef
5.
go back to reference Fleischmann C, Scherag A, Adhikari NKJ, et al. Assessment of global incidence and mortality of hospital-treated sepsis. Am J Respir Crit Care Med. 2016;193(3):259–72.CrossRefPubMed Fleischmann C, Scherag A, Adhikari NKJ, et al. Assessment of global incidence and mortality of hospital-treated sepsis. Am J Respir Crit Care Med. 2016;193(3):259–72.CrossRefPubMed
6.
go back to reference Torio CM, Moore BJ. National inpatient hospital costs: the most expensive conditions by payer, 2013. Internet. Rockville: Agency for Healthcare Research and Quality; 2016. Torio CM, Moore BJ. National inpatient hospital costs: the most expensive conditions by payer, 2013. Internet. Rockville: Agency for Healthcare Research and Quality; 2016.
8.
go back to reference Dellinger RP, Levy MM, Rhodes A, et al. Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock, 2012. Intensive Care Med. 2013;39(2):165–228.CrossRefPubMed Dellinger RP, Levy MM, Rhodes A, et al. Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock, 2012. Intensive Care Med. 2013;39(2):165–228.CrossRefPubMed
9.
go back to reference Ferrer R, Artigas A, Suarez D, et al. Effectiveness of treatments for severe sepsis a prospective, multicenter, observational study. Am J Respir Crit Care Med. 2009;180(9):861–6.CrossRefPubMed Ferrer R, Artigas A, Suarez D, et al. Effectiveness of treatments for severe sepsis a prospective, multicenter, observational study. Am J Respir Crit Care Med. 2009;180(9):861–6.CrossRefPubMed
10.
go back to reference Ferrer R, Martin-Loeches I, Phillips G, et al. Empiric antibiotic treatment reduces mortality in severe sepsis and septic shock from the first hour: results from a guideline-based performance improvement program. Crit Care Med. 2014;42(8):1749–55.CrossRefPubMed Ferrer R, Martin-Loeches I, Phillips G, et al. Empiric antibiotic treatment reduces mortality in severe sepsis and septic shock from the first hour: results from a guideline-based performance improvement program. Crit Care Med. 2014;42(8):1749–55.CrossRefPubMed
11.
go back to reference Gaieski DF, Mikkelsen ME, Band RA, et al. Impact of time to antibiotics on survival in patients with severe sepsis or septic shock in whom early goal-directed therapy was initiated in the emergency department. Crit Care Med. 2010;38(4):1045–53.CrossRefPubMed Gaieski DF, Mikkelsen ME, Band RA, et al. Impact of time to antibiotics on survival in patients with severe sepsis or septic shock in whom early goal-directed therapy was initiated in the emergency department. Crit Care Med. 2010;38(4):1045–53.CrossRefPubMed
12.
go back to reference Bloos F, Thomas-Ruddel D, Ruddel H, et al. Impact of compliance with infection management guidelines on outcome in patients with severe sepsis: a prospective observational multi-center study. Crit Care. 2014;18(2):R42.CrossRefPubMedPubMedCentral Bloos F, Thomas-Ruddel D, Ruddel H, et al. Impact of compliance with infection management guidelines on outcome in patients with severe sepsis: a prospective observational multi-center study. Crit Care. 2014;18(2):R42.CrossRefPubMedPubMedCentral
13.
go back to reference Kumar A, Roberts D, Wood KE, et al. Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock. Crit Care Med. 2006;34(6):1589–96.CrossRefPubMed Kumar A, Roberts D, Wood KE, et al. Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock. Crit Care Med. 2006;34(6):1589–96.CrossRefPubMed
14.
go back to reference Levy MM, Artigas A, Phillips GS, et al. Outcomes of the surviving sepsis campaign in intensive care units in the USA and Europe: a prospective cohort study. Lancet Infect Dis. 2012;12(12):919-24. Levy MM, Artigas A, Phillips GS, et al. Outcomes of the surviving sepsis campaign in intensive care units in the USA and Europe: a prospective cohort study. Lancet Infect Dis. 2012;12(12):919-24.
15.
go back to reference Levy MM, Rhodes A, Phillips GS, et al. Surviving Sepsis Campaign: association between performance metrics and outcomes in a 7.5-year study. Crit Care Med. 2015;43(1):3–12.CrossRefPubMed Levy MM, Rhodes A, Phillips GS, et al. Surviving Sepsis Campaign: association between performance metrics and outcomes in a 7.5-year study. Crit Care Med. 2015;43(1):3–12.CrossRefPubMed
16.
go back to reference Seymour CW, Gesten F, Prescott HC, et al. Time to treatment and mortality during mandated emergency care for sepsis. N Engl J Med. 2017;376(23):2235–44.CrossRefPubMed Seymour CW, Gesten F, Prescott HC, et al. Time to treatment and mortality during mandated emergency care for sepsis. N Engl J Med. 2017;376(23):2235–44.CrossRefPubMed
17.
go back to reference Burrell AR, McLaws ML, Fullick M, et al. SEPSIS KILLS: early intervention saves lives. Med J Aust. 2016;204(2):73.CrossRefPubMed Burrell AR, McLaws ML, Fullick M, et al. SEPSIS KILLS: early intervention saves lives. Med J Aust. 2016;204(2):73.CrossRefPubMed
18.
go back to reference Miller RR, Dong L, Nelson NC, et al. Multicenter implementation of a severe sepsis and septic shock treatment bundle. Am J Respir Crit Care Med. 2013;188(1):77–82.CrossRefPubMedPubMedCentral Miller RR, Dong L, Nelson NC, et al. Multicenter implementation of a severe sepsis and septic shock treatment bundle. Am J Respir Crit Care Med. 2013;188(1):77–82.CrossRefPubMedPubMedCentral
19.
go back to reference Ferrer R, Artigas A, Levy MM, et al. Improvement in process of care and outcome after a multicenter severe sepsis educational program in Spain. JAMA-J Am Med Assoc. 2008;299(19):2294–303.CrossRef Ferrer R, Artigas A, Levy MM, et al. Improvement in process of care and outcome after a multicenter severe sepsis educational program in Spain. JAMA-J Am Med Assoc. 2008;299(19):2294–303.CrossRef
20.
go back to reference Castellanos-Ortega A, Suberviola B, Garcia-Astudillo LA, et al. Impact of the Surviving Sepsis Campaign protocols on hospital length of stay and mortality in septic shock patients: results of a three-year follow-up quasi-experimental study. Crit Care Med. 2010;38(4):1036–43.CrossRefPubMed Castellanos-Ortega A, Suberviola B, Garcia-Astudillo LA, et al. Impact of the Surviving Sepsis Campaign protocols on hospital length of stay and mortality in septic shock patients: results of a three-year follow-up quasi-experimental study. Crit Care Med. 2010;38(4):1036–43.CrossRefPubMed
21.
go back to reference Noritomi DT, Ranzani OT, Monteiro MB, et al. Implementation of a multifaceted sepsis education program in an emerging country setting: clinical outcomes and cost-effectiveness in a long-term follow-up study. Intensive Care Med. 2014;40(2):182–91.CrossRefPubMed Noritomi DT, Ranzani OT, Monteiro MB, et al. Implementation of a multifaceted sepsis education program in an emerging country setting: clinical outcomes and cost-effectiveness in a long-term follow-up study. Intensive Care Med. 2014;40(2):182–91.CrossRefPubMed
22.
go back to reference Scheer CS, Fuchs C, Kuhn S-O, et al. Quality improvement initiative for severe sepsis and septic shock reduces 90-day mortality: a 7.5-year observational study. Crit Care Med. 2016; Publish Ahead of Print Scheer CS, Fuchs C, Kuhn S-O, et al. Quality improvement initiative for severe sepsis and septic shock reduces 90-day mortality: a 7.5-year observational study. Crit Care Med. 2016; Publish Ahead of Print
23.
go back to reference Damiani E, Donati A, Serafini G, et al. Effect of performance improvement programs on compliance with sepsis bundles and mortality: a systematic review and meta-analysis of observational studies. PLoS One. 2015;10(5):e0125827.CrossRefPubMedPubMedCentral Damiani E, Donati A, Serafini G, et al. Effect of performance improvement programs on compliance with sepsis bundles and mortality: a systematic review and meta-analysis of observational studies. PLoS One. 2015;10(5):e0125827.CrossRefPubMedPubMedCentral
24.
go back to reference Fleischmann C, Thomas–Rueddel DO, Hartmann M, et al. Fallzahlen und Sterblichkeitsraten von Sepsis-Patienten im Krankenhaus. Dtsch Arztebl Int 2016;113(10):159-166. Fleischmann C, Thomas–Rueddel DO, Hartmann M, et al. Fallzahlen und Sterblichkeitsraten von Sepsis-Patienten im Krankenhaus. Dtsch Arztebl Int 2016;113(10):159-166.
25.
go back to reference Kaukonen KM, Bailey M, Suzuki S, et al. Mortality related to severe sepsis and septic shock among critically III patients in Australia and New Zealand, 2000-2012. JAMA-J Am Med Assoc. 2014;311(13):1308–16.CrossRef Kaukonen KM, Bailey M, Suzuki S, et al. Mortality related to severe sepsis and septic shock among critically III patients in Australia and New Zealand, 2000-2012. JAMA-J Am Med Assoc. 2014;311(13):1308–16.CrossRef
26.
go back to reference Shankar-Hari M, Harrison DA, Rowan KM. Differences in impact of definitional elements on mortality precludes international comparisons of sepsis epidemiology—a cohort study illustrating the need for standardized reporting. Crit Care Med. 2016; Publish Ahead of Print Shankar-Hari M, Harrison DA, Rowan KM. Differences in impact of definitional elements on mortality precludes international comparisons of sepsis epidemiology—a cohort study illustrating the need for standardized reporting. Crit Care Med. 2016; Publish Ahead of Print
27.
go back to reference Lagu T, Rothberg MB, Shieh MS, et al. Hospitalizations, costs, and outcomes of severe sepsis in the United States 2003 to 2007. Crit Care Med. 2012;40(3):754–61.CrossRefPubMed Lagu T, Rothberg MB, Shieh MS, et al. Hospitalizations, costs, and outcomes of severe sepsis in the United States 2003 to 2007. Crit Care Med. 2012;40(3):754–61.CrossRefPubMed
28.
go back to reference Engel C, Brunkhorst FM, Bone HG, et al. Epidemiology of sepsis in Germany: results from a national prospective multicenter study. Intensive Care Med. 2007;33(4):606–18.CrossRefPubMed Engel C, Brunkhorst FM, Bone HG, et al. Epidemiology of sepsis in Germany: results from a national prospective multicenter study. Intensive Care Med. 2007;33(4):606–18.CrossRefPubMed
29.
go back to reference Bloos F, Rüddel H, Thomas-Rüddel D, et al. Effect of a multifaceted educational intervention for anti-infectious measures on sepsis mortality: a cluster randomized trial. Intensive Care Med. 2017;43(11):1602–12.CrossRefPubMed Bloos F, Rüddel H, Thomas-Rüddel D, et al. Effect of a multifaceted educational intervention for anti-infectious measures on sepsis mortality: a cluster randomized trial. Intensive Care Med. 2017;43(11):1602–12.CrossRefPubMed
30.
go back to reference Matthaeus-Kraemer CT, Thomas-Rueddel DO, Schwarzkopf D, et al. Barriers and supportive conditions to improve quality of care for critically ill patients: a team approach to quality improvement. J Crit Care. 2015;30(4):685–91.CrossRefPubMed Matthaeus-Kraemer CT, Thomas-Rueddel DO, Schwarzkopf D, et al. Barriers and supportive conditions to improve quality of care for critically ill patients: a team approach to quality improvement. J Crit Care. 2015;30(4):685–91.CrossRefPubMed
31.
32.
go back to reference Iezzoni LI. Risk adjustment. In: Smith PC, Mossialos E, Papanicolas I, Leatherman S, editors. Performance measurement for health system improvement: experiences, challenges and prospects. New York: Cambridge University Press; 2009. p. 251–85. Iezzoni LI. Risk adjustment. In: Smith PC, Mossialos E, Papanicolas I, Leatherman S, editors. Performance measurement for health system improvement: experiences, challenges and prospects. New York: Cambridge University Press; 2009. p. 251–85.
33.
go back to reference Nimptsch U, Mansky T. Quality measurement combined with peer review improved German in-hospital mortality rates for four diseases. Health Aff (Millwood). 2013;32(9):1616–23.CrossRef Nimptsch U, Mansky T. Quality measurement combined with peer review improved German in-hospital mortality rates for four diseases. Health Aff (Millwood). 2013;32(9):1616–23.CrossRef
34.
go back to reference Ogrinc G, Davies L, Goodman D, et al. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. BMJ Qual Saf. 2015; Ogrinc G, Davies L, Goodman D, et al. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. BMJ Qual Saf. 2015;
35.
go back to reference Schouten LMT, Hulscher M, van Everdingen JJE, et al. Evidence for the impact of quality improvement collaboratives: systematic review. Br Med J. 2008;336(7659):1491.CrossRef Schouten LMT, Hulscher M, van Everdingen JJE, et al. Evidence for the impact of quality improvement collaboratives: systematic review. Br Med J. 2008;336(7659):1491.CrossRef
36.
go back to reference Schouten LM, Hulscher ME, van Everdingen JJ, et al. Evidence for the impact of quality improvement collaboratives: systematic review. BMJ. 2008;336(7659):1491–4.CrossRefPubMedPubMedCentral Schouten LM, Hulscher ME, van Everdingen JJ, et al. Evidence for the impact of quality improvement collaboratives: systematic review. BMJ. 2008;336(7659):1491–4.CrossRefPubMedPubMedCentral
37.
go back to reference Hulscher M, Schouten LMT, Grol R, et al. Determinants of success of quality improvement collaboratives: what does the literature show? BMJ Qual Saf. 2013;22(1):19–31.CrossRefPubMed Hulscher M, Schouten LMT, Grol R, et al. Determinants of success of quality improvement collaboratives: what does the literature show? BMJ Qual Saf. 2013;22(1):19–31.CrossRefPubMed
39.
go back to reference Brook RH, McGlynn EA, Cleary PD. Quality of health care .2. Measuring quality of care. N Engl J Med. 1996;335(13):966–70.CrossRefPubMed Brook RH, McGlynn EA, Cleary PD. Quality of health care .2. Measuring quality of care. N Engl J Med. 1996;335(13):966–70.CrossRefPubMed
40.
go back to reference Duckers MLA, Spreeuwenberg P, Wagner C, et al. Exploring the black box of quality improvement collaboratives: modelling relations between conditions, applied changes and outcomes. Implement Sci. 2009;4:12.CrossRef Duckers MLA, Spreeuwenberg P, Wagner C, et al. Exploring the black box of quality improvement collaboratives: modelling relations between conditions, applied changes and outcomes. Implement Sci. 2009;4:12.CrossRef
42.
go back to reference Kaplan HC, Brady PW, Dritz MC, et al. The influence of context on quality improvement success in health care: a systematic review of the literature. Milbank Q. 2010;88(4):500–59.CrossRefPubMedPubMedCentral Kaplan HC, Brady PW, Dritz MC, et al. The influence of context on quality improvement success in health care: a systematic review of the literature. Milbank Q. 2010;88(4):500–59.CrossRefPubMedPubMedCentral
43.
go back to reference Bone RC, Balk RA, Cerra FB, et al. American College of Chest Physicians/Society of Critical Care Medicine consensus conference: definitions for sepsis and organ failure and guidelines for use of innovative therapies in sepsis. Crit Care Med. 1992;20(6):864–74.CrossRef Bone RC, Balk RA, Cerra FB, et al. American College of Chest Physicians/Society of Critical Care Medicine consensus conference: definitions for sepsis and organ failure and guidelines for use of innovative therapies in sepsis. Crit Care Med. 1992;20(6):864–74.CrossRef
44.
go back to reference Krumholz HM, Wang Y, Mattera JA, et al. An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction. Circulation. 2006;113(13):1683–92.CrossRefPubMed Krumholz HM, Wang Y, Mattera JA, et al. An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction. Circulation. 2006;113(13):1683–92.CrossRefPubMed
45.
go back to reference Krumholz HM, Lin Z, Drye EE, et al. An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction. Circ Cardiovasc Qual Outcomes. 2011;4(2):243–52.CrossRefPubMedPubMedCentral Krumholz HM, Lin Z, Drye EE, et al. An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction. Circ Cardiovasc Qual Outcomes. 2011;4(2):243–52.CrossRefPubMedPubMedCentral
46.
go back to reference Bratzler DW, Normand SLT, Wang Y, et al. An administrative claims model for profiling hospital 30-day mortality rates for pneumonia patients. PLoS One. 2011;6(4) Bratzler DW, Normand SLT, Wang Y, et al. An administrative claims model for profiling hospital 30-day mortality rates for pneumonia patients. PLoS One. 2011;6(4)
47.
go back to reference DeLong ER, Peterson ED, DeLong DM, et al. Comparing risk-adjustment methods for provider profiling. Stat Med. 1997;16(23):2645–64.CrossRefPubMed DeLong ER, Peterson ED, DeLong DM, et al. Comparing risk-adjustment methods for provider profiling. Stat Med. 1997;16(23):2645–64.CrossRefPubMed
49.
go back to reference Krumholz HM, Brindis RG, Brush JE, et al. Standards for statistical models used for public reporting of health outcomes—an American Heart Association scientific statement from the quality of care and outcomes research interdisciplinary writing group—cosponsored by the council on epidemiology and prevention and the stroke council—endorsed by the American College of Cardiology Foundation. Circulation. 2006;113(3):456–62.CrossRefPubMed Krumholz HM, Brindis RG, Brush JE, et al. Standards for statistical models used for public reporting of health outcomes—an American Heart Association scientific statement from the quality of care and outcomes research interdisciplinary writing group—cosponsored by the council on epidemiology and prevention and the stroke council—endorsed by the American College of Cardiology Foundation. Circulation. 2006;113(3):456–62.CrossRefPubMed
50.
go back to reference Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic co-morbidity in longitudinal studies—development and validation. J Chronic Dis. 1987;40(5):373–83.CrossRefPubMed Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic co-morbidity in longitudinal studies—development and validation. J Chronic Dis. 1987;40(5):373–83.CrossRefPubMed
51.
go back to reference Elixhauser A, Steiner C, Harris DR, et al. Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27.CrossRefPubMed Elixhauser A, Steiner C, Harris DR, et al. Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27.CrossRefPubMed
52.
go back to reference Thomas-Rüddel D, Schwarzkopf D, Fleischmann C, et al. Development of a sepsis mortality prediction model for use with German hospital claims data. Intensive Care Med Exp. 2016;4(1) ESICM LIVES 2016: part two-Abstract A2504 Thomas-Rüddel D, Schwarzkopf D, Fleischmann C, et al. Development of a sepsis mortality prediction model for use with German hospital claims data. Intensive Care Med Exp. 2016;4(1) ESICM LIVES 2016: part two-Abstract A2504
53.
go back to reference Ford DW, Goodwin AJ, Simpson AN, et al. A severe sepsis mortality prediction model and score for use with administrative data. Crit Care Med. 2016;44(2):319–27.CrossRefPubMedPubMedCentral Ford DW, Goodwin AJ, Simpson AN, et al. A severe sepsis mortality prediction model and score for use with administrative data. Crit Care Med. 2016;44(2):319–27.CrossRefPubMedPubMedCentral
54.
go back to reference Hosmer DW, Lemeshow S. Confidence-interval estimates of an index of quality performance based on logistic regression models. Stat Med. 1995;14(19):2161–72.CrossRefPubMed Hosmer DW, Lemeshow S. Confidence-interval estimates of an index of quality performance based on logistic regression models. Stat Med. 1995;14(19):2161–72.CrossRefPubMed
55.
go back to reference Christianson JB, Volmar KM, Alexander J, et al. A report card on provider report cards: current status of the health care transparency movement. J Gen Intern Med. 2010;25(11):1235–41.CrossRefPubMedPubMedCentral Christianson JB, Volmar KM, Alexander J, et al. A report card on provider report cards: current status of the health care transparency movement. J Gen Intern Med. 2010;25(11):1235–41.CrossRefPubMedPubMedCentral
56.
go back to reference Emmert M, Hessemer S, Meszmer N, et al. Do German hospital report cards have the potential to improve the quality of care? Health Policy. 2014;118(3):386–95.CrossRefPubMed Emmert M, Hessemer S, Meszmer N, et al. Do German hospital report cards have the potential to improve the quality of care? Health Policy. 2014;118(3):386–95.CrossRefPubMed
57.
go back to reference Fung CH, Lim YW, Mattke S, et al. Systematic review: the evidence that publishing patient care performance data improves quality of care. Ann Intern Med. 2008;148(2):111–23.CrossRefPubMed Fung CH, Lim YW, Mattke S, et al. Systematic review: the evidence that publishing patient care performance data improves quality of care. Ann Intern Med. 2008;148(2):111–23.CrossRefPubMed
58.
go back to reference Hafner JM, Williams SC, Koss RG, et al. The perceived impact of public reporting hospital performance data: interviews with hospital staff. Int J Qual Health Care. 2011;23(6):697–704.CrossRefPubMed Hafner JM, Williams SC, Koss RG, et al. The perceived impact of public reporting hospital performance data: interviews with hospital staff. Int J Qual Health Care. 2011;23(6):697–704.CrossRefPubMed
59.
go back to reference Hibbard JH, Stockard J, Tusler M. Hospital performance reports: impact on quality, market share, and reputation. Health Aff (Millwood). 2005;24(4):1150–60.CrossRef Hibbard JH, Stockard J, Tusler M. Hospital performance reports: impact on quality, market share, and reputation. Health Aff (Millwood). 2005;24(4):1150–60.CrossRef
60.
go back to reference Contandriopoulos D, Champagne F, Denis JL. The multiple causal pathways between performance measures’ use and effects. Med Care Res Rev. 2014;71(1):3–20.CrossRefPubMed Contandriopoulos D, Champagne F, Denis JL. The multiple causal pathways between performance measures’ use and effects. Med Care Res Rev. 2014;71(1):3–20.CrossRefPubMed
61.
go back to reference Hogan H, Healey F, Neale G, et al. Preventable deaths due to problems in care in English acute hospitals: a retrospective case record review study. BMJ Qual Saf. 2012;21(9):737–45.CrossRefPubMedPubMedCentral Hogan H, Healey F, Neale G, et al. Preventable deaths due to problems in care in English acute hospitals: a retrospective case record review study. BMJ Qual Saf. 2012;21(9):737–45.CrossRefPubMedPubMedCentral
62.
go back to reference Hogan H, Healey F, Neale G, et al. Learning from preventable deaths: exploring case record reviewers’ narratives using change analysis. J R Soc Med. 2014;107(9):365–75.CrossRefPubMedPubMedCentral Hogan H, Healey F, Neale G, et al. Learning from preventable deaths: exploring case record reviewers’ narratives using change analysis. J R Soc Med. 2014;107(9):365–75.CrossRefPubMedPubMedCentral
63.
go back to reference Nguyen HB, Lynch EL, Mou JA, et al. The utility of a quality improvement bundle in bridging the gap between research and standard care in the management of severe sepsis and septic shock in the emergency department. Acad Emerg Med. 2007;14(11):1079–86.CrossRefPubMed Nguyen HB, Lynch EL, Mou JA, et al. The utility of a quality improvement bundle in bridging the gap between research and standard care in the management of severe sepsis and septic shock in the emergency department. Acad Emerg Med. 2007;14(11):1079–86.CrossRefPubMed
64.
go back to reference Wu AW, Lipshutz AM, Pronovost PJ. EFfectiveness and efficiency of root cause analysis in medicine. JAMA. 2008;299(6):685–7.CrossRefPubMed Wu AW, Lipshutz AM, Pronovost PJ. EFfectiveness and efficiency of root cause analysis in medicine. JAMA. 2008;299(6):685–7.CrossRefPubMed
65.
go back to reference Pronovost PJ, Holzmueller CG, Martinez E, et al. A practical tool to learn from defects in patient care. Joint Comm J Qual Patient Saf. 2006;32(2):102–8.CrossRef Pronovost PJ, Holzmueller CG, Martinez E, et al. A practical tool to learn from defects in patient care. Joint Comm J Qual Patient Saf. 2006;32(2):102–8.CrossRef
66.
go back to reference Edwards MT. A longitudinal study of clinical peer review’s impact on quality and safety in US hospitals. J Healthc Manag. 2013;58:369–84.CrossRefPubMed Edwards MT. A longitudinal study of clinical peer review’s impact on quality and safety in US hospitals. J Healthc Manag. 2013;58:369–84.CrossRefPubMed
67.
go back to reference Rink O. Wie wir Qualität verbessern. In: Martin J, Rink O, Zacher J, editors. : Handbuch IQM; 2014. Rink O. Wie wir Qualität verbessern. In: Martin J, Rink O, Zacher J, editors. : Handbuch IQM; 2014.
68.
69.
go back to reference Yealy DM, Kellum JA, Huang DT, et al. A randomized trial of protocol-based care for early septic shock. N Engl J Med. 2014;370(18):1683–93.CrossRefPubMed Yealy DM, Kellum JA, Huang DT, et al. A randomized trial of protocol-based care for early septic shock. N Engl J Med. 2014;370(18):1683–93.CrossRefPubMed
70.
go back to reference Chen J, Ou L, Flabouris A, et al. Impact of a standardized rapid response system on outcomes in a large healthcare jurisdiction. Resuscitation. 2016;107:47–56.CrossRefPubMed Chen J, Ou L, Flabouris A, et al. Impact of a standardized rapid response system on outcomes in a large healthcare jurisdiction. Resuscitation. 2016;107:47–56.CrossRefPubMed
71.
go back to reference Iwashyna TJ, Angus DC. Declining case fatality rates for severe sepsis good data bring good news with ambiguous implications. JAMA-J Am Med Assoc. 2014;311(13):1295–7.CrossRef Iwashyna TJ, Angus DC. Declining case fatality rates for severe sepsis good data bring good news with ambiguous implications. JAMA-J Am Med Assoc. 2014;311(13):1295–7.CrossRef
72.
73.
go back to reference Felsenstein M. Peer Review: Lernen auf Gegenseitigkeit. Dtsch Arztebl Int. 2011;108(31–32):A-1688-A-1688. Felsenstein M. Peer Review: Lernen auf Gegenseitigkeit. Dtsch Arztebl Int. 2011;108(31–32):A-1688-A-1688.
74.
go back to reference Gerber JS, Prasad PA, Fiks AG, et al. Effect of an outpatient antimicrobial stewardship intervention on broad-spectrum antibiotic prescribing by primary care pediatricians a randomized trial. JAMA-J Am Med Assoc. 2013;309(22):2345–52.CrossRef Gerber JS, Prasad PA, Fiks AG, et al. Effect of an outpatient antimicrobial stewardship intervention on broad-spectrum antibiotic prescribing by primary care pediatricians a randomized trial. JAMA-J Am Med Assoc. 2013;309(22):2345–52.CrossRef
75.
go back to reference Hemming K, Taljaard M. Sample size calculations for stepped wedge and cluster randomised trials: a unified approach. J Clin Epidemiol. 2016;69:137–46.CrossRefPubMedPubMedCentral Hemming K, Taljaard M. Sample size calculations for stepped wedge and cluster randomised trials: a unified approach. J Clin Epidemiol. 2016;69:137–46.CrossRefPubMedPubMedCentral
76.
go back to reference Jolley RJ, Sawka KJ, Yergens DW, et al. Validity of administrative data in recording sepsis: a systematic review. Crit Care. 2015;19:12.CrossRef Jolley RJ, Sawka KJ, Yergens DW, et al. Validity of administrative data in recording sepsis: a systematic review. Crit Care. 2015;19:12.CrossRef
77.
go back to reference Bhardwaj A, Mikkelsen ME. Sepsis quality improvement initiatives: prepare for the marathon, not the sprint. Crit Care Med. 2017;45(2):374–5.CrossRefPubMed Bhardwaj A, Mikkelsen ME. Sepsis quality improvement initiatives: prepare for the marathon, not the sprint. Crit Care Med. 2017;45(2):374–5.CrossRefPubMed
Metadata
Title
The German Quality Network Sepsis: study protocol for the evaluation of a quality collaborative on decreasing sepsis-related mortality in a quasi-experimental difference-in-differences design
Authors
Daniel Schwarzkopf
Hendrik Rüddel
Matthias Gründling
Christian Putensen
Konrad Reinhart
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Implementation Science / Issue 1/2018
Electronic ISSN: 1748-5908
DOI
https://doi.org/10.1186/s13012-017-0706-5

Other articles of this Issue 1/2018

Implementation Science 1/2018 Go to the issue