Evidence map›Paper›PMID 42846347›Full record

ArticleFrontiers in psychiatry2026

Supporting the psychosocial well-being of patients with Long COVID: patient-informed strategies from a qualitative study.

Bryce D Martinez, Jonathan G Shaw, Steven M Asch, Cassandra L Bragdon, Amogha M Paleru, Brianna Brasko, Anna Sophia Lessios, Tom C Quach, Sindhushree Hosakote, Shelby Scott Lazarow and 5 more

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Article in Frontiers in psychiatry, 2026. 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

15 authors.

Bryce D MartinezSchool of Medicine, Stanford University, Stanford, CA, United States.
Jonathan G ShawEvaluation Sciences Unit, Stanford School of Medicine, Palo Alto, CA, United States.
Steven M AschEvaluation Sciences Unit, Stanford School of Medicine, Palo Alto, CA, United States.
Cassandra L BragdonEvaluation Sciences Unit, Stanford School of Medicine, Palo Alto, CA, United States.
Amogha M PaleruSchool of Medicine, Stanford University, Stanford, CA, United States.
Brianna BraskoSchool of Medicine, Stanford University, Stanford, CA, United States.
Anna Sophia LessiosEvaluation Sciences Unit, Stanford School of Medicine, Palo Alto, CA, United States.
Tom C QuachSchool of Medicine, Stanford University, Stanford, CA, United States.
Sindhushree HosakoteSchool of Medicine, Stanford University, Stanford, CA, United States.
Shelby Scott LazarowSchool of Medicine, Stanford University, Stanford, CA, United States.
Samantha M R KlingEvaluation Sciences Unit, Stanford School of Medicine, Palo Alto, CA, United States.
Marcy WingetEvaluation Sciences Unit, Stanford School of Medicine, Palo Alto, CA, United States.
Linda N GengSchool of Medicine, Stanford University, Stanford, CA, United States.
Hector BonillaSchool of Medicine, Stanford University, Stanford, CA, United States.
Cati Brown-JohnsonEvaluation Sciences Unit, Stanford School of Medicine, Palo Alto, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long COVID, an illness characterized by long-lasting symptoms following SARS-CoV-2 infection, exacts a substantial toll on psychosocial well-being and overall health. Persistent physiological symptoms and associated experiences can negatively impact employment, daily functioning, identity, and social relationships. However, there is a gap in the literature on patient-derived recommendations for addressing the psychosocial impacts of living with Long COVID. Objectives: This study aimed to identify factors shaping the psychosocial well-being of individuals with Long COVID and elicit patient-generated strategies for addressing them. Methods: We conducted semi-structured individual interviews and Community Advisory Team (CAT) focus groups between November 2024 and June 2025 with 19 individuals who self-reported experience with Long COVID. Interviews and focus group meetings were recorded, transcribed, and qualitatively analyzed to identify factors influencing psychosocial well-being and participant-generated strategies for addressing them. Results: Three primary factors negatively influencing patient psychosocial well-being were identified: Conclusion: Effectively treating and supporting Long COVID patients requires consideration of their broader state of psychosocial well-being and how it is influenced by identity disruption, isolation, and uncertainty. The impact of interventions targeting these specific factors should be studied to guide future intervention implementation.

Indexed as

chronic conditionsdisabilityhealth services researchLong COVIDpatient experiencepost-viral conditionprimary carewell-being

Identifiers

PMID42846347
PMCPMC13642708

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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.