Expanding the Scope of the Visit: Which Patient-Initiated Additional Concerns Receive Help?

Communicative Practices Clinicians Use to Correct Patient Misconceptions in Primary Care Visits

To investigate how clinicians correct patient misconceptions, we analyzed 23 video recordings of primary care visits. Analysis focused on operationalizing, identifying, and characterizing clinician corrections, integrating two inductive approaches: microanalysis of clinical interaction and conversation analysis. According to our definition, patient misconception-clinician correction episodes met three essential criteria: (1) the clinician refuted something the patient had said, (2) which the patient had presented without uncertainty, and (3) which contained a proposition that was factually incorrect. We identified 59 such episodes; the patient misconceptions most commonly related to medication issues; fewer than half had foreseeable implications for patients' future actions. We identified seven clinician correction practices: Three direct practices (displaying surprise, marking disagreement, contradicting the patient) and four indirect practices (presenting the correct proposition, providing explanations, invoking an outside authority, demonstrating with evidence). We found an almost equal distribution of these direct and indirect practices.

Making Conversation Analysis Accessible: A Conceptual Guide for Health Services Researchers

The quality of healthcare communication can impact both experiences and outcomes. We highlight aspects of communication that can be systematically examined using Conversation Analysis (CA) and provide guidance about how researchers can incorporate CA into healthcare studies. CA is a qualitative method for studying naturally occurring communication by analyzing recurrent, systematic practices of verbal and nonverbal behavior. CA involves examining audio- or video-recorded conversations and their transcriptions to identify practices speakers use to communicate and interpret behavior. We explain what distinguishes CA from other methods that study communication and highlight three accessible CA approaches that researchers can use in their research design, analysis, or implementation of communication interventions. Specifically, these approaches focus on how talk is produced (specific words, framing, and syntax), by whom, and when it occurs in the conversation. These approaches can be leveraged to generate hypotheses and to identify patterns of behavior that inform empirically driven communication interventions.

Visit Linearity in Primary Care Visits for Patients with Chronic Pain on Long-term Opioid Therapy

BACKGROUND

Physicians and patients report frustration after primary care visits for chronic pain. The need to shift between multiple clinical topics to address competing demands during visits may contribute to this frustration.

OBJECTIVE

This study creates a novel measure, "visit linearity," to assess visit organization and examines whether visits that require less shifting back and forth between topics are associated with better patient and physician visit experiences. It also explores whether visit linearity differs depending on the following: (1) whether or not pain is a major topic of the visit and (2) whether or not pain is the first topic raised.

DESIGN

This study analyzed 41 video-recorded visits using inductive, qualitative analysis informed by conversation analysis. We used linear regression to evaluate associations between visit organization and post-visit measures of participant experience.

PARTICIPANTS

Patients were established adult patients planning to discuss pain management during routine primary care. Physicians were internal or family medicine residents.

MAIN MEASURES

Visit linearity, total topics, return topics, topic shifts, time per topic, visit duration, pain main topic, pain first topic, patient experience, and physician difficulty.

KEY RESULTS

Visits had a mean of 8.1 total topics (standard deviation (SD)=3.46), 14.5 topic shifts (SD=6.28), and 1.9 topic shifts per topic (SD=0.62). Less linear visits (higher topic shifts to topic ratio) were associated with greater physician visit difficulty (β=7.28, p<0.001) and worse patient experience (β= -0.62, p=0.03). Visit linearity was not significantly impacted by pain as a major or first topic raised.

CONCLUSIONS

In primary care visits for patients with chronic pain taking opioids, more linear visits were associated with better physician and patient experience. Frequent topic shifts may be disruptive. If confirmed in future research, this finding implies that reducing shifts between topics could help decrease mutual frustration related to discussions about pain.