Relationships between Key Functions of Patient-Provider Communication, Trust, and Motivation across White, African American, and Hispanic/Latino Patients with Asthma

Validating computer-generated measures of linguistic style matching and accommodation in patient-clinician communication

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.

Communicative Pathways Predicting Adherence in Type II Diabetic Patients: A Mediation Analysis

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.