Experiencing Sepsis: A Meta-Ethnography

Although deeply personal, sepsis survivorship is marked by consistent themes. Survivor experiences reveal critical insights and generate directions for research and intervention. Findings underscore the need to strengthen survivorship care by prioritizing psychological support, effective communication, and responsive post-discharge services.

Authors

Institutions

Publication Details

Journal
Critical Care Medicine
Published
2025-10-21
DOI
https://doi.org/10.1097/ccm.0000000000006913
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experiencing Sepsis: A Meta-Ethnography

Kimberley Haines, Edward Litton, Marilyn Johnston, Amy J. Lorimer
Critical Care Medicine
Intensive Care Unit Cognitive Disorders
article

Experiencing Sepsis: A Meta-Ethnography

Kimberley Haines, Edward Litton, Marilyn Johnston, Amy J. Lorimer
article en

Abstract

Although deeply personal, sepsis survivorship is marked by consistent themes. Survivor experiences reveal critical insights and generate directions for research and intervention. Findings underscore the need to strengthen survivorship care by prioritizing psychological support, effective communication, and responsive post-discharge services.

Critical Care MedicineVol. 53(12)
The University of Melbourne (AU), The University of Western Australia (AU), Fiona Stanley Hospital (AU), Western Health (AU), St John of God Hospital (AU)
Openalex Percentile: Top 65%
Intensive Care Unit Cognitive Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.