ArticlePEC innovation2022
Patient symptom exaggeration is associated with communication effectiveness and trust.
Article in PEC innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Not just spontaneous remission: Time-dependent and independent effects in pre-intervention symptom reduction.Internet interventions · 2026Article
- Can the Subjective Aspects of Health be Measured and Visually Displayed Without Harming Patient Experience? A Randomized Control Trial.Journal of patient experience · 2026Article
- A machine learning approach to stratify patients with hypermobile Ehlers-Danlos syndrome/hypermobility spectrum disorders according to disorders of gut brain interaction, comorbidities and quality of life.Neurogastroenterology and motility · 2025Article
- Latent Profile Analysis of Pain Catastrophizing in Post-Operative Lung Cancer Patients.Journal of pain research · 2025Article
- The Central Sensitization Inventory Measures Thoughts and Emotions.Journal of patient experience · 2024Article
- Mental Health Among People Presenting for Care of Physical Symptoms: The Factors Associated with Suicidality and Symptoms of Depression and Anxiety are Similar Across Specialties.Chronic stress (Thousand Oaks, Calif.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Patients might exaggerate their symptoms in an attempt to align the clinician's views with their own. A person who sees potential benefit in symptom exaggeration might also experience less trust, more difficulty communicating, and lower satisfaction with their clinician. We asked if there was an association between patient rating of communication effectiveness, patient satisfaction, and patient trust with symptom exaggeration? Methods: One hundred and thirty-two patients in four orthopaedic offices completed surveys including demographics, Communication-Effectiveness-Questionnaire (CEQ-6), Negative-Pain-Thoughts-Questionnaire (NPTQ-4), a Guttman-style satisfaction question, PROMIS Depression, and Stanford Trust in Physician. Patients were randomly assigned to answer three questions about symptom exaggeration for two scenarios: 1) their own exaggeration during the just-completed visit or 2) the average person's tendency to exaggerate. Results: In multivariable analysis, lower ratings of communication effectiveness were associated with greater symptom exaggeration (p=0.002), while an annual household income>$100,000 (p=0.033) was associated with higher ratings. Higher rating of satisfaction was associated with lower education attained (p=0.004). Greater trust was associated with lower personal exaggeration (p=0.002). Conclusion: The relationship between greater exaggeration and lower ratings of communication effectiveness and trust suggests that symptom descriptions that seem more intense or diffuse than expected may indicate opportunities for more effective communication and trust. Innovation: Patient experience can be improved by training clinicians to identify symptom exaggeration as a signal that the patient does not feel heard and understood and a cue to return to communication strategies that build trust.
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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.