Patient and caregiver burden after hospitalization with severe viral lower respiratory tract disease: results from a real-world survey in Europe, the US and Japan

OBJECTIVE: To describe the care planning, post-discharge health and health-related quality of life in severe viral lower respiratory tract disease (LRTD) patients and their caregivers. METHODS: Data were derived from the Adelphi Real World LRTD Disease Specific Programme, a cross-sectional survey of physicians, patients hospitalized with LRTD 6-24 months prior to survey and their caregivers, conducted in in France, Germany, Italy, Spain, United Kingdom, the United States, and Japan in 2024. RESULTS: = 104) reported a moderate-to-severe impact of caring on their physical health, and 50.0% reported moderate-to-extreme impact on their sleep. Mean WHO-5 wellbeing score was 58.5 ± 24.8, Zarit Burden Interview score was 15.0 ± 10.2. Caregiver work impairment was 27.8 ± 27.3%, with an overall activity impairment of 31.9 ± 28.2%. CONCLUSION: Patients and their caregivers continue to experience notable physical and mental health burdens following hospitalization for LRTD, with impacts on HRQoL, wellbeing, and productivity. Our data highlights the need for more adequate care adequate support for patients and caregivers after discharge.

Authors

Institutions

Publication Details

Journal
Current Medical Research and Opinion
Published
2026-10-08
DOI
https://doi.org/10.1080/03007995.2026.2741493
Primary Topic
Nursing care and research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Patient and caregiver burden after hospitalization with severe viral lower respiratory tract disease: results from a real-world survey in Europe, the US and Japan

Susan C Johnson, Josefine Persson, Lynda Draffan, Lieuwe D. J. Bos et al.
Current Medical Research and Opinion
Nursing care and research
article

Patient and caregiver burden after hospitalization with severe viral lower respiratory tract disease: results from a real-world survey in Europe, the US and Japan

Susan C Johnson, Josefine Persson, Lynda Draffan, Lieuwe D. J. Bos, Anthony C. Gordon, Drahomír Kolenčík, Yao Qiao, Mark Small, Ekaterina Maslova, Olive Fulton, Mia Harvey, Rebecca Hardy-Woods
article en

Abstract

OBJECTIVE: To describe the care planning, post-discharge health and health-related quality of life in severe viral lower respiratory tract disease (LRTD) patients and their caregivers. METHODS: Data were derived from the Adelphi Real World LRTD Disease Specific Programme, a cross-sectional survey of physicians, patients hospitalized with LRTD 6-24 months prior to survey and their caregivers, conducted in in France, Germany, Italy, Spain, United Kingdom, the United States, and Japan in 2024. RESULTS: = 104) reported a moderate-to-severe impact of caring on their physical health, and 50.0% reported moderate-to-extreme impact on their sleep. Mean WHO-5 wellbeing score was 58.5 ± 24.8, Zarit Burden Interview score was 15.0 ± 10.2. Caregiver work impairment was 27.8 ± 27.3%, with an overall activity impairment of 31.9 ± 28.2%. CONCLUSION: Patients and their caregivers continue to experience notable physical and mental health burdens following hospitalization for LRTD, with impacts on HRQoL, wellbeing, and productivity. Our data highlights the need for more adequate care adequate support for patients and caregivers after discharge.

Current Medical Research and Opinion
Amsterdam Neuroscience (NL), AstraZeneca (Switzerland) (CH), Imperial College London (GB), University of Amsterdam (NL)
Openalex Percentile: Top 6%
Nursing care and research
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.