Comprehensive design considerations for a new hospital gown: a patient-oriented qualitative study
Bibliographic record
Abstract
BACKGROUND: The standard hospital gown has remained relatively unchanged despite reports that it is uncomfortable, embarrassing to wear and compromises patients' dignity. The objective of this qualitative study was to explore the experiences and perspectives of stakeholders involved in the gown life cycle. METHODS: We conducted a constructivist, qualitative interview study with a patient-oriented lens. A patient partner was fully integrated into our research team and directly involved in interview guide development, recruitment, data collection, analysis and writing. We audio-recorded telephone interviews with adult (i.e., aged 18 yr or older) patients and family members, interdisciplinary clinicians and key system stakeholders (e.g., designers, manufacturers, textile experts) in North America. We used a hybrid deductive-inductive approach to coding and theme development. This study took place from May 2018 to March 2020. RESULTS: Analysis of 40 stakeholder interviews (8 patients and family members, 12 clinicians, 20 system stakeholders) generated 4 themes: utility, economics, comfort and dignity, and aesthetics. Patients and clinicians emphasized that current gowns have many functional limitations. By contrast, system stakeholders emphasized that gowns need to be cost-effective and aligned with established health care processes and procedures. Across the stakeholder groups, hospital gowns were reported to not fulfill patients' needs and to negatively affect patients' and families' health care experiences. INTERPRETATION: Our findings suggest that the standard hospital gown fails to meet the needs of those involved in providing and receiving high-quality health care. Redesigning the gown would be a step toward increased person-centred care and requires partnership across the stakeholder groups involved in the gown life cycle to minimize implementation barriers while placing patients' needs at the forefront.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".