Evidence map›Paper›PMID 42006610›Full record

ArticleCHEST critical care2025

Needs of Acute Respiratory Failure Survivors Throughout 1 Year of Recovery: A Qualitative Analysis Using the Timing It Right Framework.

Jasmine A Silvestri, Craig Kwiatkowski, Erich M Dress, Taara V Prasad, Eric Ryu, Meeta Prasad Kerlin, Michael O Harhay, Tamar Klaiman, Rachel Kohn

Abstract read
In one paragraph

Article in CHEST critical care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jasmine A SilvestriDepartment of Medicine (M. P. K. and R. K.), Perelman School of Medicine, the Leonard Davis Institute of Health Economics (M. P. K. and R. K.), the Perelman School of Medicine, the Department of Biostatistics, Epidemiology and Informatics (M. O. H.), Perelman School of Medicine, the Palliative and Advanced Illness Research (PAIR) Center (J. A. S., C. K., E. M. D., E. R., M. P. K., M. O. H., T. K., and R. K.), and the Center for Health Incentives and Behavioral Economics (CHIBE) (T. K.), the University of Pennsylvania; and the Lewis Katz School of Medicine (T. V. P.), Temple University, Philadelphia, PA.
Craig KwiatkowskiDepartment of Medicine (M. P. K. and R. K.), Perelman School of Medicine, the Leonard Davis Institute of Health Economics (M. P. K. and R. K.), the Perelman School of Medicine, the Department of Biostatistics, Epidemiology and Informatics (M. O. H.), Perelman School of Medicine, the Palliative and Advanced Illness Research (PAIR) Center (J. A. S., C. K., E. M. D., E. R., M. P. K., M. O. H., T. K., and R. K.), and the Center for Health Incentives and Behavioral Economics (CHIBE) (T. K.), the University of Pennsylvania; and the Lewis Katz School of Medicine (T. V. P.), Temple University, Philadelphia, PA.
Erich M DressDepartment of Medicine (M. P. K. and R. K.), Perelman School of Medicine, the Leonard Davis Institute of Health Economics (M. P. K. and R. K.), the Perelman School of Medicine, the Department of Biostatistics, Epidemiology and Informatics (M. O. H.), Perelman School of Medicine, the Palliative and Advanced Illness Research (PAIR) Center (J. A. S., C. K., E. M. D., E. R., M. P. K., M. O. H., T. K., and R. K.), and the Center for Health Incentives and Behavioral Economics (CHIBE) (T. K.), the University of Pennsylvania; and the Lewis Katz School of Medicine (T. V. P.), Temple University, Philadelphia, PA.
Taara V PrasadDepartment of Medicine (M. P. K. and R. K.), Perelman School of Medicine, the Leonard Davis Institute of Health Economics (M. P. K. and R. K.), the Perelman School of Medicine, the Department of Biostatistics, Epidemiology and Informatics (M. O. H.), Perelman School of Medicine, the Palliative and Advanced Illness Research (PAIR) Center (J. A. S., C. K., E. M. D., E. R., M. P. K., M. O. H., T. K., and R. K.), and the Center for Health Incentives and Behavioral Economics (CHIBE) (T. K.), the University of Pennsylvania; and the Lewis Katz School of Medicine (T. V. P.), Temple University, Philadelphia, PA.
Eric RyuDepartment of Medicine (M. P. K. and R. K.), Perelman School of Medicine, the Leonard Davis Institute of Health Economics (M. P. K. and R. K.), the Perelman School of Medicine, the Department of Biostatistics, Epidemiology and Informatics (M. O. H.), Perelman School of Medicine, the Palliative and Advanced Illness Research (PAIR) Center (J. A. S., C. K., E. M. D., E. R., M. P. K., M. O. H., T. K., and R. K.), and the Center for Health Incentives and Behavioral Economics (CHIBE) (T. K.), the University of Pennsylvania; and the Lewis Katz School of Medicine (T. V. P.), Temple University, Philadelphia, PA.
Meeta Prasad KerlinDepartment of Medicine (M. P. K. and R. K.), Perelman School of Medicine, the Leonard Davis Institute of Health Economics (M. P. K. and R. K.), the Perelman School of Medicine, the Department of Biostatistics, Epidemiology and Informatics (M. O. H.), Perelman School of Medicine, the Palliative and Advanced Illness Research (PAIR) Center (J. A. S., C. K., E. M. D., E. R., M. P. K., M. O. H., T. K., and R. K.), and the Center for Health Incentives and Behavioral Economics (CHIBE) (T. K.), the University of Pennsylvania; and the Lewis Katz School of Medicine (T. V. P.), Temple University, Philadelphia, PA.
Michael O HarhayDepartment of Medicine (M. P. K. and R. K.), Perelman School of Medicine, the Leonard Davis Institute of Health Economics (M. P. K. and R. K.), the Perelman School of Medicine, the Department of Biostatistics, Epidemiology and Informatics (M. O. H.), Perelman School of Medicine, the Palliative and Advanced Illness Research (PAIR) Center (J. A. S., C. K., E. M. D., E. R., M. P. K., M. O. H., T. K., and R. K.), and the Center for Health Incentives and Behavioral Economics (CHIBE) (T. K.), the University of Pennsylvania; and the Lewis Katz School of Medicine (T. V. P.), Temple University, Philadelphia, PA.
Tamar KlaimanDepartment of Medicine (M. P. K. and R. K.), Perelman School of Medicine, the Leonard Davis Institute of Health Economics (M. P. K. and R. K.), the Perelman School of Medicine, the Department of Biostatistics, Epidemiology and Informatics (M. O. H.), Perelman School of Medicine, the Palliative and Advanced Illness Research (PAIR) Center (J. A. S., C. K., E. M. D., E. R., M. P. K., M. O. H., T. K., and R. K.), and the Center for Health Incentives and Behavioral Economics (CHIBE) (T. K.), the University of Pennsylvania; and the Lewis Katz School of Medicine (T. V. P.), Temple University, Philadelphia, PA.
Rachel KohnDepartment of Medicine (M. P. K. and R. K.), Perelman School of Medicine, the Leonard Davis Institute of Health Economics (M. P. K. and R. K.), the Perelman School of Medicine, the Department of Biostatistics, Epidemiology and Informatics (M. O. H.), Perelman School of Medicine, the Palliative and Advanced Illness Research (PAIR) Center (J. A. S., C. K., E. M. D., E. R., M. P. K., M. O. H., T. K., and R. K.), and the Center for Health Incentives and Behavioral Economics (CHIBE) (T. K.), the University of Pennsylvania; and the Lewis Katz School of Medicine (T. V. P.), Temple University, Philadelphia, PA.

Funding

The influence of ward capacity strain on outcomes among survivors of acute respiratory failureK23HL146894 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KOHN, RACHEL · 2019 to 2023
$1.0M
NHLBI NIH HHS K23 HL146894
6 · The paper itself

Abstract

backgroundAlthough ICU mortality is declining for the > 1 million Americans with acute respiratory failure (ARF) annually, little evidence exists to guide care after hospital discharge, and few studies have explored longitudinal care needs among survivors. RESEARCH QUESTION: To ultimately develop dynamic, adaptable care plans across recovery trajectories, what are the barriers and facilitators to ARF survivor recovery? STUDY DESIGN AND

methodsAfter hospital discharge, we enrolled survivors of ARF discharged from 4 University of Pennsylvania Health System hospitals from June 2022 through April 2023 who underwent mechanical ventilation for $ 24 hours into a longitudinal cohort study. We enrolled a subset of this cohort to conduct qualitative structured phone interviews at 3, 6, and 12 months regarding barriers and facilitators to recovery using the Timing It Right (TIR) framework, which identifies longitudinal changing needs. We coded interview data and performed thematic analysis to identify unmet and met needs. Using TIR framework recovery constructs, we sequentially mapped needs categorically and then across time points.

resultsThirty-two patients participated in 59 interviews. Themes mapped to informational, instrumental, and emotional TIR framework recovery aspects across discharge preparation, transition to community, and long-term adjustment recovery phases. During discharge preparation, patients required rapport with inpatient clinicians and comprehensive information about the rehabilitation process. During transition to community, patients needed instrumental support, including increased touchpoints from health care professionals. As recovery continued, the mental and emotional burden of recovery became prominent.

interpretationSurvivors of ARF encountered evolving support needs throughout the recovery trajectory from informational needs during discharge preparation to instrumental needs during transition to community and emotional needs during long-term adjustment. Understanding needs trajectories is a critical first step toward developing guidance to mitigate unmet needs and developing dynamic, adaptable care plans across recovery trajectories among survivors of ARF.

Indexed as

acute respiratory failurecritical illness recoverycritical illness survivorshipqualitative or qualitative study or qualitative interviewsTiming It Right framework

Identifiers

PMID42006610
PMCPMC13089794

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.