Medical invalidation in the clinical encounter: a qualitative study of the health care experiences of young women and nonbinary people living with chronic illnesses
Bibliographic record
Abstract
BACKGROUND: Medical invalidation is a well-documented phenomenon in the literature on chronic illnesses, yet there is a paucity of research capturing the perspectives of young adults living with chronic illnesses, and especially of those who are gender diverse or from groups that face broader societal marginalization. Our study sought to answer the following question: How do young women and nonbinary adults living with chronic illnesses characterize their experiences of medical invalidation and its impact on their health and well-being? METHODS: This was a patient-oriented qualitative study informed by feminist disability theory. Eligibility requirements included self-identifying as having a chronic illness, self-identifying as a woman or nonbinary person receiving health care in Manitoba, and being between the ages of 18 and 35 years. Participants took part in online arts-based workshops and subsequent focus group discussion in November 2021. RESULTS: Eight women and 2 nonbinary individuals participated. Medical invalidation was experienced by all of the participants at different points in their illness journeys and took a variety of forms depending on their social location and their particular illness, positioning invalidation as an issue of in/visibility. We identified several consequences of medical invalidation, including internalizing invalidation, overcompensating for their illness, avoiding care and, ultimately, symptom intensification. We also present participants' recommendations to avoid medical invalidation. INTERPRETATION: This study provides insight into the phenomenon of medical invalidation, understood as the act of dismissing, minimizing or otherwise not taking patient concerns seriously. We suggest person-centred care may not be enough, and critical reflexivity may help avoid unintentionally invalidating patient experiences.
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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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 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".