Author | Country | Aim | Design | Tools | Sample and sample size | Main results on clinical reasoning and its factors |
---|---|---|---|---|---|---|
Harley et al. [12] | Australia | To explore emergency nurses’ clinical reasoning in recognizing and responding to patients with sepsis in EDs. | Qualitative descriptive study | Semi-structured interviews | 14 Emergency nurses working in a 750-bed public tertiary teaching hospital | Identified six themes: • organizational pressures, urgency • staff supervision • staff experience, knowledge, and advice-seeking. |
Andersson et al. [21] | Sweden | To describe clinical reasoning processes and influencing factors in EMS during sepsis management. | Qualitative single-case study | Participant observation, audio recordings, group interviews | 25 RNs from five EMS stations, with a mean experience of 16.2 years | • patient narrative, environment, and experience. |
Yan et al. [27] | Norway | To develop an ontology to capture sepsis-related bloodstream infections and improve reasoning. | Quantitative retrospective study | Ontology-based annotation | 18,555 adverse event reports | • Ontology for Sepsis Peripheral intravenous catheter-related Bloodstream infections (OSPB) |
Scherer et al. [22] | Brazil | To analyze critical alarms predicting clinical deterioration and sepsis to support decision-making. | Observational retrospective cohort study | Machine Learning tool Robot Laura® | 122,703 alarms, 254 considered for 61 patients | • Machine learning |
de Mendonça Henrique et al. [28] | Brazil | To map care protocols used by nurses for early identification of sepsis. | Scoping review | Review of six studies using quality improvement projects | 6 studies on nursing protocols | • Nurse-managed sepsis protocols. |