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Khaleghzadegan S, Rosen M, Links A, Ahmad A, Kilcullen M, Boss E, Beach MC, Saha S. Validating computer-generated measures of linguistic style matching and accommodation in patient-clinician communication. PATIENT EDUCATION AND COUNSELING 2024; 119:108074. [PMID: 38070297 DOI: 10.1016/j.pec.2023.108074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/07/2023] [Accepted: 11/13/2023] [Indexed: 12/29/2023]
Abstract
OBJECTIVE To explore the validity of computer-analyzed linguistic style matching (LSM) in patient-clinician communication. METHODS Using 330 transcribed HIV patient encounters, we quantified word use with Linguistic Inquiry and Word Count (LIWC), a dictionary-based text analysis software. We measured LSM by calculating the degree to which clinicians matched patients in the use of LIWC "function words" (e.g., articles, pronouns). We tested associations of different LSM metrics with patients' perceptions that their clinicians spoke similiarly to them. RESULTS We developed 3 measures of LSM: 1) at the whole-visit level; (2) at the turn-by-turn level; and (3) using a "rolling-window" approach, measuring matching between clusters of 8 turns per conversant. None of these measures was associated with patient-rated speech similarity. However, we found that increasing trajectories of LSM, from beginning to end of the visit, were associated with higher patient-rated speech similarity (β 0.35, CI 0.06, 0.64), compared to unchanging trajectories. CONCLUSIONS Our findings point to the potential value of clinicians' adapting their communication style to match their patients, over the course of the visit. PRACTICE IMPLICATIONS With further validation, computer-based linguistic analyses may prove an efficient tool for generating data on communication patterns and providing feedback to clinicians in real time.
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Affiliation(s)
- Salar Khaleghzadegan
- Armstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD, USA; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA.
| | - Michael Rosen
- Armstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Anne Links
- Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alya Ahmad
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Molly Kilcullen
- Armstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Emily Boss
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mary Catherine Beach
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Somnath Saha
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, USA; Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, USA
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Brown CL, Venetis MK. Communicative Pathways Predicting Adherence in Type II Diabetic Patients: A Mediation Analysis. HEALTH COMMUNICATION 2023; 38:3051-3068. [PMID: 36259091 DOI: 10.1080/10410236.2022.2131980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Type II diabetes is a chronic health condition and its successful management requires effective patient-provider communication. Responding to a call to model pathways between provider communication and patient health outcomes, this study tested four models of type II diabetic patient adherence with four mediators. Given the complex nature of type II diabetic care, patient adherence was conceptualized as wellness, screening, medication, and treatment adherence. Mediators included patient understanding, agreement, trust, and motivation. A sample of U.S. patients with type II diabetes patients who were both under the care of a medical provider and taking medication for their type II diabetes completed online surveys (n = 793). Findings indicated that the relationships between patient-centered communication and adherence outcomes were mediated by proximal outcomes. The results contribute to the understanding of patient-centered communication, adherence behaviors, and proximal outcomes of patient understanding, agreement, trust, and motivation. Findings indicate that relationships between patient-centered communication and wellness adherence is mediated by patient motivation, patient-centered communication and screening adherence is mediated by patient agreement, trust, and motivation, and patient-centered communication and treatment adherence is mediated by patient agreement, trust, and motivation. The discussion addresses theoretical and practical implications and directions for future research.
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