Improving Patient-Centered Communication in Primary Care: Results from a Multisite Cluster Randomized Trial

<h3>Context:</h3> Despite various attempts to improve patient-clinician communication, there has been limited head-to-head comparison of these efforts. <h3>Objective:</h3> to enhance patient-clinician communication, building on a previous pilot that created promising prototypes of interventions. Population <h3>Studied:</h3> 4,852 patients and 114 primary care clinicians in 21 clinics in 3 health systems in 2 states in the U.S. <h3>Intervention:</h3> A cluster randomized controlled trial with 3 arms: in-person communication coaching of clinicians with standardized patient instructor training (High-Touch), mobile application-based communication coaching of clinicians (High-Tech), and posters placed in exam rooms encouraging shared-decision making (ASK). In advance of visits, patients in the High-Touch and High-Tech arms were prompted to inform their clinicians of the most important matter they wanted to address during the visit using online e-checkin. <h3>Outcome measures:</h3> The primary outcome was a validated 3-item patient engagement measure (CollaboRATE) that measures patient perceptions of communication and decisionmaking during the visit. Secondary outcomes included patients’ confidence in managing their health and Net Promoter Score (likelihood of recommending this care provider to others). <h3>Methods:</h3> A differencein-differences mixed-effect logistic regression with random intercepts for primary care clinician was used for analyzing differences in outcomes including superiority tests for High-Tech vs ASK, High-Touch vs ASK, and a non-inferiority comparison of High-Tech vs High-Touch. <h3>Results:</h3> The 3 interventions did not differ significantly in CollaboRATE: High-Tech vs. ASK, odds ratio (OR) 1.011, 95%CI 0.700, 1.460, p=0.952; High-Touch vs, ASK, OR 1.077, 95%CI 0.741, 1.564, p=0.699; Hi-Tech vs. High-Touch, OR 0.939, 95%CI 0.649, 1.360, p=0.138. After 3 months, compared with patients receiving care from clinicians at High-Touch clinics, patients receiving care at High-Tech clinics had less confidence in managing their health (odds ratio [OR]=0.174; 95% CI: -0.339, -0.009; p=0.039), and were less likely to recommend their clinician to others (OR=0.579; 95% CI: 0.342, 0.978; p=0.041). <h3>Conclusions:</h3> The primary outcome showed no evidence of differential effects of the interventions. Some secondary outcomes suggested positive effect of clinicians receiving in-person coaching. Alternative measures of patients’ engagement in shared decision-making may be needed.

Authors

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1370/afm.22.s1.6095
Primary Topic
Patient-Provider Communication in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving Patient-Centered Communication in Primary Care: Results from a Multisite Cluster Randomized Trial

Ming Tai‐Seale, Martina Li, Kathleen M. Mazor, Michael Cheung et al.
Patient-Provider Communication in Healthcare
article

Improving Patient-Centered Communication in Primary Care: Results from a Multisite Cluster Randomized Trial

Ming Tai‐Seale, Martina Li, Kathleen M. Mazor, Michael Cheung, Amanda Walker, Rebecca Rosen, Lawrence Garber, Sonal Singh, Bernice Ruo, Gene Kallenberg, Edward Yu, Cheryl D. Stults, Cassie Saphirak
article en

Abstract

<h3>Context:</h3> Despite various attempts to improve patient-clinician communication, there has been limited head-to-head comparison of these efforts. <h3>Objective:</h3> to enhance patient-clinician communication, building on a previous pilot that created promising prototypes of interventions. Population <h3>Studied:</h3> 4,852 patients and 114 primary care clinicians in 21 clinics in 3 health systems in 2 states in the U.S. <h3>Intervention:</h3> A cluster randomized controlled trial with 3 arms: in-person communication coaching of clinicians with standardized patient instructor training (High-Touch), mobile application-based communication coaching of clinicians (High-Tech), and posters placed in exam rooms encouraging shared-decision making (ASK). In advance of visits, patients in the High-Touch and High-Tech arms were prompted to inform their clinicians of the most important matter they wanted to address during the visit using online e-checkin. <h3>Outcome measures:</h3> The primary outcome was a validated 3-item patient engagement measure (CollaboRATE) that measures patient perceptions of communication and decisionmaking during the visit. Secondary outcomes included patients’ confidence in managing their health and Net Promoter Score (likelihood of recommending this care provider to others). <h3>Methods:</h3> A differencein-differences mixed-effect logistic regression with random intercepts for primary care clinician was used for analyzing differences in outcomes including superiority tests for High-Tech vs ASK, High-Touch vs ASK, and a non-inferiority comparison of High-Tech vs High-Touch. <h3>Results:</h3> The 3 interventions did not differ significantly in CollaboRATE: High-Tech vs. ASK, odds ratio (OR) 1.011, 95%CI 0.700, 1.460, p=0.952; High-Touch vs, ASK, OR 1.077, 95%CI 0.741, 1.564, p=0.699; Hi-Tech vs. High-Touch, OR 0.939, 95%CI 0.649, 1.360, p=0.138. After 3 months, compared with patients receiving care from clinicians at High-Touch clinics, patients receiving care at High-Tech clinics had less confidence in managing their health (odds ratio [OR]=0.174; 95% CI: -0.339, -0.009; p=0.039), and were less likely to recommend their clinician to others (OR=0.579; 95% CI: 0.342, 0.978; p=0.041). <h3>Conclusions:</h3> The primary outcome showed no evidence of differential effects of the interventions. Some secondary outcomes suggested positive effect of clinicians receiving in-person coaching. Alternative measures of patients’ engagement in shared decision-making may be needed.

Openalex Percentile: Top 62%
Patient-Provider Communication in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.