Table 2. Summary of compliance data and other results from eight studies examining experience with the CMS sepsis bundle performance measure (SEP-1).
Study | Time period | Database | Overall SEP-1 compliance* | Other results | |
---|---|---|---|---|---|
Source | Hospital number | ||||
Ramsdell [2017] (38) | 4/2015–2/2016 | Individual chart review | 1 (110 cases) | 51.80% | Compliance with individual components: |
• Lactate measured: 88.2% | |||||
• Blood cultures obtained: 88.2% | |||||
• Antibiotics initiated: 90.0% | |||||
• 30 mL/kg bolus | |||||
• Repeat lactate: 80.9% | |||||
• Vasopressor started: 71.1% | |||||
• Volume status/tissue perfusion assessment: 34.8% | |||||
Greenwood-Ericksen [2019] (64) | 10/2016–12/2016 | E-QUAL**# | 205 (EDs) | 80% (IQR 62–95%) | Rural vs. urban hospital SEP-1 compliance: |
• Median 80% (IQR: 67–100%) vs. 80% (51–90%) | |||||
• Mean 79% vs. 71% (P=0.049) | |||||
• Initial lactate: 89 vs. 92% (P=0.28) | |||||
• Initial blood cultures: 83 vs. 87% (P=0.21) | |||||
• Antibiotics; 60 vs. 74% (P≤0.0001) | |||||
• Fluid administration: 84 vs. 91% (P≤0.0001) | |||||
Rhee [2018] (62) | 10/2015–9/2017 | Individual chart review | 7 (851 cases) | 33% | Noncompliance within individual patients associated (P≤0.04) with: |
• Presence septic shock | |||||
• Hospital onset sepsis | |||||
• Vague infectious symptoms | |||||
• Non-pulmonary infections | |||||
40% noncompliant cases due to absence of initial or follow-up lactate level | |||||
Venkatesh [2018] (61) | 10/2015–9/2016 | E-QUAL** | 50 (EDs) | 54% (IQR 30–75%) | 92% of EDs implemented QI projects to improve SEP-1 compliance |
Compliance improved from 39% to 57% during reporting year | |||||
SEP-1 components with lowest compliance: IVF, repeat lactate, vasopressors | |||||
Barbash [2019] (66) | 10/2016–9/2017 | HCP** | 2,851 | 48.9% (SD ±19.4%) | In multi-variate analysis, higher SEP-1 compliance associated with: |
• Larger reported SEP-1 case volumes (P<0.0001) | |||||
• For profit hospitals (P<0.0001) | |||||
• Non-teaching hospitals (P=0.04) | |||||
• Smaller hospital size (P≤0.003) | |||||
SEP-1 performance associated with performance on other time directed CMS measures including head CT interpretation for stroke patients, aspirin for chest pain, and ECG for chest pain patients (P<0.0001 for each) | |||||
Barbash [2019] (65) | 1/2017–9/2017 | HCP** | 2,827 | Safety-net hospitals## 46.9% (n=703)^; non-safety-net hospitals 49.2% (n=2,124)^ | In adjusted analysis, decreased SEP-1 compliance in safety-net hospitals associated with: |
• Hospitals not affiliated with health system (P<0.01 for interaction) | |||||
• Smaller hospitals (P=0.03 for interaction) | |||||
Liao [2019] (63) | 4/2017–3/2018 | HCP** | 48 | 52.7% (SD ±14.8%) | In multi-variate analysis, SEP-1 compliance greater in: |
• For profit hospitals (P<0.0001) | |||||
• Smaller hospitals with less beds (P=0.003) | |||||
Whitfield [2019] (67) | 12/2016–2/2018 | Individual chart review | 1 (450 cases) | Pre-implementation: 30.7%; post-implementation: 71.3% | Implementation of code sepsis protocol, aiming to expedite recognition, diagnosis and treatment of patients with sepsis or septic shock |
Multidisciplinary team included emergency room physician, physician extender, triage nurse, charge nurse, clinical pharmacist, phlebotomist, and house supervisor |
*, SEP-1 compliance, percentage of patients a hospital reported that received all SEP-1 components; **, E-QUAL, HCP, IQRP provided hospital level data; #, ACEP provided patient level data; ##, safety-net hospitals were the top quartile of hospitals based on the proportion of Medicare days occupied by patients receiving SSI payments; ^, adjusted difference (95% CI) comparing safety-net to non-safety-net hospitals −2.3% (−4.0% to −0.6%), P<0.01. CMS, Center for Medicare and Medicaid services; ED, emergency department; E-QUAL, Emergency Quality Network (initiated launched by American College of Emergency Physicians); HCP, Hospital Compare Program; IQR, interquartile range; IQRP, Inpatient Quality Reporting Program; IVF, intravenous fluid amount administered; QI, quality improvement; SD, standard deviation.