Patient, Public, and Healthcare Professional’s Sepsis Awareness, Knowledge, and Information Seeking Behaviors: A Scoping Review
Bibliographic record
Abstract
OBJECTIVES: Sepsis awareness and understanding are important aspects of prevention, recognition, and clinical management of sepsis. We conducted a scoping review to identify and map the literature related to sepsis awareness, general knowledge, and information-seeking behaviors with a goal to inform future sepsis research and knowledge translation campaigns. DESIGN: Scoping review. SETTING: Using Arksey and O'Malley's methodological framework, we conducted a systematic search on May 3, 2021, across four databases (MEDLINE, EMBASE, CINAHL, and Education Research Complete). Title/abstract and full-text screening was done in duplicate. One researcher extracted the data for each included article, and a second researcher checked data accuracy. The protocol was registered on Open Science Framework ( https://doi.org/10.17605/OSF.IO/YX7AU ). SUBJECTS: Articles related to sepsis awareness, knowledge, and information seeking behaviors among patients, public, and healthcare professionals. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Of 5,927 unique studies, 80 reported on patient ( n = 13/80;16.3%), public ( n = 15/80;18.8%), or healthcare professional (nurses, physicians, emergency medical technicians) ( n = 48/80; 60%) awareness and knowledge of sepsis. Healthcare professional awareness and knowledge of sepsis is high compared with patients/public. The proportion of patients/public who had heard of the term sepsis ranged from 2% (Japan) to 88.6% (Germany). The proportions of patients/public who correctly identified the definition of sepsis ranged from 4.2% (Singapore) to 92% (Sweden). The results from the included studies appear to suggest that patient/public awareness of sepsis gradually improved over time. We found that the definition of sepsis was inconsistent in the literature and that few studies reported on patient, public, or healthcare professional knowledge of sepsis risk factors. Most patient/public get their sepsis information from the internet, whereas healthcare professionals get it from their role in healthcare through job training or educational training. CONCLUSIONS: Patient, public, and healthcare professional awareness and knowledge of sepsis vary globally. Future research may benefit from a consistent definition as well as country-specific data to support targeted public awareness campaigns.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.034 | 0.141 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.035 | 0.032 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".