Study Name | Sample size (n) | Facilitators identified | Barriers identified | Compliance Rate | Factors that had no influence | Recommendations |
---|---|---|---|---|---|---|
Baldwin (2008) [30] | 32 | Near patient lactate testing | Underestimating the severity of sepsis; incomplete triage data hindering prompt diagnosis; first assessment done by very junior doctors. | 53% |  | 100% completion of triage vital signs; review by middle grade doctors within first 30 min; training nurses and doctors. |
Kang (2012) [31] | 317 | Care by board-certified emergency physicians; nurses with > 3 yrs. experience | Patients with cryptic shock, higher serum lactate levels or without hyperthermia; care by junior resident doctors | 256 (80.8%) | Overcrowding; sex- based differences of the treating physician | Interventions focussing on the identified barriers |
Shin (2012) | 770 | Â | ED overcrowding | 81.9% | Â | Multidisciplinary response team; effective bed management |
Gray (2013) [32] | 626 | Â | Difficulty recognising sepsis; clinical reliance on development of hypotension | 48% | Â | Pre-hospital sepsis screening criteria |
Wang (2013) [33] | 195 |  | Survey response to why IV fluid challenge was not achieved: 41% unsure; 59% didn’t think it was needed. Knowledge, attitude and behavioural barriers. | 27% (Control group) |  |  |
Faine (2015) [34] | 193 | Â | Interhospital transfers from regional hospitals; inadequacy of emergency trained physicians in rural hospitals; clinical deterioration of patient during transfer. | 54% (Patients transferred from regional hospitals) | Â | Use of telemedicine |
De Groot (2017) [35] | 1732 | Treatment commenced in ED patients in earlier stages of sepsis | Â | Â | Â | Emphasis on treatment in patients with and without organ failure in sepsis |
Gaieski (2017) [36] | 2913 |  | Time of presentation of patients to ED (between 07:00–19:00 less likely to receive fluids within 1 h compared to presenting after-hours); overcrowding, increased occupancy rate and patient hours in ED |  |  | Appropriate staffing and patient flow in ED |
Morr (2017) [37] | 487 | Â | Â | Â | Correctness of exact classification of sepsis- SIRS, severe sepsis, recognised or unrecognised sepsis | Â |
Le Conte (2017) [38] | 130 |  | Advanced age; cardiac co-morbidities; delay in sepsis recognition; ED overcrowding; | 25 (19%) received fluid challenge, Mean time to administration: 10 ± 27 min |  | Multidisciplinary quality improvement programme with simple guidelines, electronic alerts; qSOFA score measurement |
Deis (2018) [39] | 5631 | Â | Patients without an ICD sepsis diagnosis code despite similar baseline organ dysfunction | 10.6% for patients without a sepsis diagnosis code; 19.6% for patients with a diagnosis code | Â | Education and quality improvement outcomes |