Cited by 8Patient-Provider Communication in HealthcareClinical Reasoning and Diagnostic SkillsEmpathy and Medical Education

Understanding Diagnostic Conversations in Clinical Practice: A Systematic Review

Open access
Huynh, Ky, Brito, Juan P., Bylund, Carma L., Prokop, Larry J., Ospina, Naykky Singh·2023·Patient Education and Counseling

Abstract

Objective Summarize frameworks to understand diagnostic conversations and assessments of diagnostic conversations in practice. Methods We systematically searched MEDLINE, Scopus, Cochrane, and other databases from inception to July 2022 for reports of diagnostic conversations. Two authors independently reviewed studies for eligibility, assessed methodological quality with the mixed methods appraisal tool and extracted information related to study characteristics, frameworks and components evaluated in assessments of diagnostic conversations and results. Results Eight studies were included. One study reported an empiric framework of diagnostic conversations that included the following components: identifying the problem that requires diagnosis, obtaining information, and delivering the diagnosis and treatment plan. Thematic analyses highlighted communication between patients and clinicians as central in diagnostic conversations as it allows a) patient's presentation of their symptoms which guide subsequent diagnostic steps, b) negotiation of the significance of the patient's symptoms through conversation and c) introducing and resolving diagnostic uncertainty. Conclusion Despite the importance of diagnostic conversation only one empiric framework described its components. Additionally, limited available evidence suggests patients can have an important role in the diagnostic process that expands beyond patients as an information source. Practice implications Patients should be…

Integrity signals

Registry

Crossref · 10.1016/j.pec.2023.107949

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The quality and completeness of information exchange are shaped by both communication and the relationship between patient and clinician, which directly impacts diagnostic outcomes.

    “The quality and completeness of information exchange are shaped by both communication and the relationship between patient and clinician, which directly impacts diagnostic outcomes [26].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Huynh, K., Brito, J. P., Bylund, C. L., Prokop, L. J., & Ospina, N. S.
Affiliations
  • University of Florida (US)
  • Mayo Clinic (US)
  • University of Florida Health (US)
Corresponding author
Ospina, Naykky Singh
Venue
Patient Education and Counseling
Publisher
Elsevier BV
Published
2023-11
Volume
116
Pages
107949
ISSN
0738-3991 (ISSN-L)
OpenAlex
W4386154533
Cited by
8
References
42
Citations by year
2026: 4 · 2025: 3 · 2024: 1
FWCI
0.40
Type
journal article
Language
en
Open access
Locations
  • Patient Education and Counseling (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • National Cancer Institute (K08CA248972)
  • National Academy of Medicine
Topics
  • Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
  • Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
  • Health Sciences › Medicine › Psychiatry and Mental health › Empathy and Medical Education
Keywords
physician-patient communication, diagnostic uncertainty, diagnostic planning, patient-clinician communication, shared decision-making
MeSH terms
Communication, Humans, Physician-Patient Relations

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review