ORIGINAL RESEARCH article

Front. Med.

Sec. Family Medicine and Primary Care

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1567725

This article is part of the Research TopicPatient-Centered Care: Strengthening Trust and Communication in Healthcare RelationshipsView all 3 articles

The Dialogue Dilemma: The Role of Patient-Clinician Communication for Low-Income People who Smoke and Manage Multiple Conditions

Provisionally accepted
  • 1Department of Psychiatry, School of Medicine, Yale University, New Haven, United States
  • 2Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California San Francisco, San Francisco, California, United States
  • 3Institute for International Internet Interventions for Health (i4Health), Palo Alto, United States
  • 4School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, Texas, United States

The final, formatted version of the article will be published soon.

Introduction: Adults from low-income backgrounds who smoke face significant health disparities related to tobacco use, often at disproportionately high rates. These individuals are more likely to endure multiple mental and physical (MP) health conditions, which can negatively influence their selfrated health (SRH). The quality and effectiveness of patient-clinician communication (PCC) can influence how patients perceive their own health. Understanding how PCC influences SRH among low-income adults who smoke and suffer from multiple MP conditions is essential for clinical care as multimorbidity is on the rise. This study examines how PCC may influence the health perceptions of low-income adults who smoke and have varying MP conditions. Methods: Low-income adults who smoke (N = 58) were recruited from the San Francisco Health Network (SFHN) and were assessed for number of MP conditions, PCC, and SRH. A moderation analysis was performed to examine whether PCC moderated relations between MP conditions and SRH. Follow-up analyses were conducted to examine differences and relationships among variables. In planned exploratory analysis, all possible choices for moderator-independent-dependent-variable selections to explore the best model fit were conducted. Results: The results revealed that PCC moderated the association between MP conditions (p < .05) and SRH. In follow-up analyses, number of MP conditions predicted poorer SRH for low-income smokers who experienced low (p < .001) and average (p < .01) levels of PPC but not high levels of PCC. In planned exploratory analysis, based on the Akaike Information Criterion, a quantitative basis for considering SRH as the dependent variable was established. Conclusion: The intersection of tobacco-related disparities among low-income adults who smoke and manage multiple MP conditions is complex. Among this vulnerable population, poor and average PCC adversely influences how patients perceive their own health. Results highlight the importance of quality and effective communication between patients and providers. A culturally informed patient-centered approach to care may improve PCC as it encourages collaborative, individually tailored treatment that empowers patients to actively participate in their own health care.

Keywords: Patient-clinician communication1, tobacco use2, low-income adults3, multimorbidity4, self-rated health5, culturally informed care6, patient-centered care7, health disparities8

Received: 28 Jan 2025; Accepted: 11 Apr 2025.

Copyright: © 2025 Cano, Lindstrom and Munoz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Monique Tenay Cano, Department of Psychiatry, School of Medicine, Yale University, New Haven, United States

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