ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2026
Resilience practices of healthcare professionals during the hospital discharge process: a qualitative study.
Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundEfficient hospital discharge is critical for improving patient experience and post-discharge safety. This study aimed to understand the daily hospital discharge process and explore healthcare professionals' experiences with the challenges, adjustments, and outcomes from a Safety-II perspective.
methodsThis qualitative study was conducted with 30 healthcare professionals from two general hospitals using semi-structured interviews and focused ethnography observations. Each interview lasted an average of one hour, and the total observation time was 99.6 h over 41 observation sessions. Data were analysed using the Functional Resonance Analysis Method and the Concepts for Applying Resilience Engineering model 2.0, along with thematic analysis.
resultsFunctions with high variability impact were 'to interview patient/family for discharge' and 'to share patient/family requests' in terms of endogenous and cross variability. Healthcare professionals frequently encountered challenges related to 'process' and 'communication', mainly owing to patient/family requests and conditions. The emergent theme was 'ameliorating variabilities due to couplings between healthcare professionals' behaviours and unpredicted patient/family requests under time pressure'. Most adjustments to cope with challenges were made in the 'process-how' and 'process-when' categories. The theme was 'meeting discharge time expected by patient/family by utilizing internal and external resources and performing additional work'. While these adjustments frequently led to positive outcomes, participants sometimes experienced dissatisfaction and concerns about potential errors. The main themes of post-discharge contact from patients and families included managing medications, wounds, and symptoms.
conclusionDuring the time-constrained discharge process, healthcare professionals primarily adjusted their work processes to adapt to the challenges they faced, which resulted in both positive and negative outcomes. The discharge process should focus on strengthening functions to enhance the post-discharge care management of individual patient/family by reducing unnecessary variability in communicating patient/family requests. Implementing support systems to promote adaptive practices among healthcare professionals is recommended.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.