Literature DB >> 11286600

Conversation analysis: a method for research into interactions between patients and health-care professionals.

P Drew1, J Chatwin, S Collins.   

Abstract

BACKGROUND: It is clear that much of the success of health-care provision depends on the quality of interactions between health professionals and patients. For instance, it is widely recognized that patients are more likely to take medication effectively if they have been involved in discussions about treatment options, and understand and support the decision about what is prescribed (patient concordance). Hence, patient participation is important for the success of medical outcomes. The key is to explore how communicative choices made by health professionals impact on the quality of interactions in general, and of patient participation in particular. However, to date there has not been an appropriate method for investigating this connection or impact.
OBJECTIVE: To outline the perspective and method of Conversation Analysis (CA). Developed within sociology and linguistics, CA offers a rigorous method (applicable to large data sets) to the study of interaction in health settings. STRATEGY: The method of CA is illustrated through a review of CA studies of doctor-patient interactions. Two such studies, one from the US and the other from Finland, are reviewed, in order to show how CA can be applied to identifying both forms of patient participation, and the interactional conditions which provide opportunities for patient participation. These studies focus principally on the medical examination and diagnostic stages of the consultation. Further research will examine the forms and conditions of patient participation in decision-making.

Entities:  

Mesh:

Year:  2001        PMID: 11286600      PMCID: PMC5060048          DOI: 10.1046/j.1369-6513.2001.00125.x

Source DB:  PubMed          Journal:  Health Expect        ISSN: 1369-6513            Impact factor:   3.377


  7 in total

1.  Editorial.

Authors:  Vikki Entwistle
Journal:  Health Expect       Date:  1999-03       Impact factor: 3.377

Review 2.  Narrative based medicine: stories we hear and stories we tell: analysing talk in clinical practice.

Authors:  G Elwyn; R Gwyn
Journal:  BMJ       Date:  1999-01-16

3.  Conversation analysis: a new model of research in doctor-patient communication.

Authors:  A Peräkylä
Journal:  J R Soc Med       Date:  1997-04       Impact factor: 5.344

4.  Doctor-patient communication.

Authors:  B M Korsch; V F Negrete
Journal:  Sci Am       Date:  1972-08       Impact factor: 2.142

5.  Online commentary in acute medical visits: a method of shaping patient expectations.

Authors:  J Heritage; T Stivers
Journal:  Soc Sci Med       Date:  1999-12       Impact factor: 4.634

6.  Is 'shared decision-making' feasible in consultations for upper respiratory tract infections? Assessing the influence of antibiotic expectations using discourse analysis.

Authors:  Glyn Elwyn; Richard Gwyn; Adrian Edwards; Richard Grol
Journal:  Health Expect       Date:  1999-05       Impact factor: 3.377

7.  Prescribing and referral in general practice: a study of patients' expectations and doctors' actions.

Authors:  S Webb; M Lloyd
Journal:  Br J Gen Pract       Date:  1994-04       Impact factor: 5.386

  7 in total
  45 in total

Review 1.  What information do patients need about medicines? "Doing prescribing": how doctors can be more effective.

Authors:  Glyn Elwyn; Adrian Edwards; Nicky Britten
Journal:  BMJ       Date:  2003-10-11

2.  An Interactional Profile to Assist the Differential Diagnosis of Neurodegenerative and Functional Memory Disorders.

Authors:  Markus Reuber; Daniel J Blackburn; Chris Elsey; Sarah Wakefield; Kerry A Ardern; Kirsty Harkness; Annalena Venneri; Danielle Jones; Chloe Shaw; Paul Drew
Journal:  Alzheimer Dis Assoc Disord       Date:  2018 Jul-Sep       Impact factor: 2.703

3.  Doctor's expertise and managing discrepant information from other sources in genetic counseling: a conversation analytic perspective.

Authors:  Esa Lehtinen; Helena Kääriäinen
Journal:  J Genet Couns       Date:  2005-12       Impact factor: 2.537

4.  'Too much for one day': a case study of disclosure in the paediatric HIV/AIDS clinic.

Authors:  Claire Penn
Journal:  Health Expect       Date:  2013-10-01       Impact factor: 3.377

5.  Development of a tethered personal health record framework for early end-of-life discussions.

Authors:  Seuli Bose-Brill; Matthew Kretovics; Taylor Ballenger; Gabriella Modan; Albert Lai; Lindsay Belanger; Stephen Koesters; Taylor Pressler-Vydra; Celia Wills
Journal:  Am J Manag Care       Date:  2016-06       Impact factor: 2.229

6.  How primary care providers talk to patients about alcohol: a qualitative study.

Authors:  Kinsey A McCormick; Nancy E Cochran; Anthony L Back; Joseph O Merrill; Emily C Williams; Katharine A Bradley
Journal:  J Gen Intern Med       Date:  2006-09       Impact factor: 5.128

7.  Presenting treatment options to men with clinically localized prostate cancer: the acceptability of active surveillance/monitoring.

Authors:  Jenny L Donovan
Journal:  J Natl Cancer Inst Monogr       Date:  2012-12

8.  Challenges in Collecting Big Data in A Clinical Environment with Vulnerable Population: Lessons Learned from A Study Using A Multi-modal Sensors Platform.

Authors:  Bing Ye; Shehroz S Khan; Belkacem Chikhaoui; Andrea Iaboni; Lori Schindel Martin; Kristine Newman; Angel Wang; Alex Mihailidis
Journal:  Sci Eng Ethics       Date:  2018-10-24       Impact factor: 3.525

9.  Assessing Problematic Substance Use in HIV Care: Which Questions Elicit Accurate Patient Disclosures?

Authors:  Wynne Callon; Mary Catherine Beach; Somnath Saha; Geetanjali Chander; Ira B Wilson; Michael Barton Laws; Victoria Sharp; Jonathan Cohn; Richard Moore; P Todd Korthuis
Journal:  J Gen Intern Med       Date:  2016-05-19       Impact factor: 5.128

10.  Communication about adherence to long-term antipsychotic prescribing: an observational study of psychiatric practice.

Authors:  Alan Quirk; Rob Chaplin; Sarah Hamilton; Paul Lelliott; Clive Seale
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2012-09-25       Impact factor: 4.328

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