Loss of patient centeredness in interpreter-mediated primary care visits.
Patient centeredness
Patient–clinician interaction
Professionally interpreted visits
Roter Interaction Analysis System (RIAS)
Journal
Patient education and counseling
ISSN: 1873-5134
Titre abrégé: Patient Educ Couns
Pays: Ireland
ID NLM: 8406280
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
received:
03
04
2020
revised:
18
06
2020
accepted:
25
07
2020
pubmed:
21
8
2020
medline:
9
2
2021
entrez:
22
8
2020
Statut:
ppublish
Résumé
To explore consequences of interpreter mediation of visit communication on patient centered dialogue and patient satisfaction with interpreter listening. Fifty-five professionally interpreted primary care visits were coded using the Roter Interaction Analysis System (RIAS). Two corresponding quantitative measures of patient-centered dialogue were calculated as ratios of psycho-emotional to biomedical statements based on (1) patient and clinician expressed codes and (2) interpreter conveyed codes. Multilevel models examined consequences of interpreter mediation on patient-centered dialogue and patient ratings of interpreter listening. Study participants included 27 Cantonese, 17 Mandarin and 11 Spanish-speaking primary care patients and 31 of their clinicians. Overall, clinicians expressed 2.26 times more statements and patients expressed 1.74 times more statements than interpreters conveyed. Interpreters conveyed significantly less patient-centered dialogue than expressed by patients and clinicians. All differences were evident within each study language. Interpreter conveyed patient centered dialogue positively predicted patient ratings of interpreter listening (B = 0.817; p < .007). The level of interpreter-conveyed patient-centered dialogue was both substantially lower than that expressed by patients and clinicians and a positive predictor of patient satisfaction with interpreter listening. Fuller interpretation of patient-centered dialogue may enhance patient experience with interpreters and thereby increase care quality.
Identifiants
pubmed: 32819755
pii: S0738-3991(20)30401-8
doi: 10.1016/j.pec.2020.07.028
pmc: PMC8454264
mid: NIHMS1739351
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
2244-2251Subventions
Organisme : NCI NIH HHS
ID : K07 CA184037
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest Debra Roter is the author and holds the copyright for the Roter Interaction Analysis System (RIAS). She is also the owner of RIAS Prime, LLC, a company that provides consulting services related to the RIAS and its applications. It is possible that the company may benefit indirectly from dissemination of the current research. The co-authors certify that they have NO affiliations with or involvement in any organization or entity with any financial interest, or non-financial interest (such as personal or professional relationships, affiliations, knowledge, or beliefs) in the subject matter or materials discussed in this manuscript.
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