A novel analytical strategy for patient-physician communication research: the one-with-many design

Improving the implementation of family-centred care in adult audiology appointments: a feasibility intervention study

OBJECTIVE

There is mounting evidence for implementing family-centred care (FCC) in adult audiology services, however FCC is not typically observed in adult clinical practice. This study implemented an intervention to increase family member attendance and involvement within adult audiology appointments.

DESIGN

The study involved a mixed method design over three key phases: Standard Care, Intervention I (increasing family member attendance), and Intervention II (increasing family member involvement).

STUDY SAMPLE

Staff from four private audiology clinics within one organisation participated in the intervention. Data was collected from different clients in each phase (n = 27 Standard Care, n = 30 Intervention I, and n = 23 Intervention II).

RESULTS

Family member attendance increased from 26% of appointments in Standard Care to 40% at Intervention I, and 48% at Intervention II. Family member involvement also showed improvement on some measures (video analysis) although talk time did not significantly increase. Significant improvements in client satisfaction with services were found (Net Promoter Score and Measure of Processes of Care).

CONCLUSION

The implementation of FCC in audiology clinics needs to be an ongoing, whole-of-clinic approach, including staff in all roles. Increasing family member attendance at adult audiology appointments can lead to benefits to client satisfaction with services.

Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data

Newly available data streams from experience sampling studies and social media are providing new opportunities to study individuals' dyadic relations. The "one-with-many" (OWM) model (Kenny et al., 2006; Kenny & Winquist, 2001) was specifically constructed for and is used to examine features of multiple dyadic relationships that one set of focal persons (e.g., therapists, physicians) has with others (e.g., multiple clients, multiple patients). Originally, the OWM model was constructed for and applied to cross-sectional data. However, the model can be extended to accommodate and may be particularly useful for the analysis of intensive repeated measures data now being obtained through experience sampling and social media. This article (a) provides a practical tutorial on fitting the OWM model, (b) describes how the OWM model is extended for analysis of repeated measures data, and (c) illustrates application of the OWM model using reports about interpersonal behavior and benefits individuals experienced in 64,111 social interactions during 9 weeks of study (N = 150). Our presentation highlights the utility of the OWM model for examining interpersonal processes in everyday life. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Physiological linkage during interactions between doctors and cancer patients

INTRODUCTION

Doctors and patients influence each other when interacting and, as a result, can become similar to each other in affect and behavior. In the current work, we examine whether they also become similar to each other on a moment-to-moment basis in their physiological responses. Specifically, we examine physiological linkage-how much a doctor's (or patient's) physiological response predicts a patient's (or doctor's) response at a subsequent time interval-and whether this changes over the course of doctor-patient relationships (measured as the number of consultations held for each unique doctor-patient dyad).

METHODS

We collected interbeat interval responses (IBI) continuously during consultations between oncologists and patients undergoing cancer treatment (N = 102 unique doctor-patient interactions) at a hospital in Austria.

RESULTS

Physiological linkage varied by an interaction between role (doctor vs. patient) and relationship length (in a non-linear, quadratic pattern). Patients showed significant positive linkage to their doctors (i.e., doctors' physiological responses positively, significantly predicted patients' responses) in relationships that spanned three to eight consultations together. Patients were not linked to their doctors in shorter or longer relationships. Doctors were never significantly linked to their patients, meaning that patients' physiological responses never predicted doctors' responses.

CONCLUSION

These results reveal that, by influencing patients' physiological responses on a moment-to-moment basis, doctors may have even more influence over patients' physiology than previously known.

Applied Racial/Ethnic Healthcare Disparities Research Using Implicit Measures

Many healthcare disparities studies use the Implicit Association Test (IAT) to assess bias. Despite ongoing controversy around the IAT, its use has enabled researchers to reliably document an association between provider implicit prejudice and provider-to-patient communication (provider communication behaviors and patient reactions to them). Success in documenting such associations is likely due to the outcomes studied, study settings, and data structure unique to racial/ethnic healthcare disparities research. In contrast, there has been little evidence supporting the role of providers' implicit bias in treatment recommendations. Researchers are encouraged to use multiple implicit measures to further investigate how, why, and under what circumstances providers' implicit bias predicts provider-to-patient communication and treatment recommendations. Such efforts will contribute to the advancement of both basic social psychology/social cognition research and applied health disparities research: a better understanding of implicit social cognition and a more comprehensive identification of the sources of widespread racial/ethnic healthcare disparities, respectively.

Agreement of physician and patient ratings of communication in medical encounters: A systematic review and meta-analysis of interrater agreement

OBJECTIVE

To determine the agreement of physician and patient ratings of communication in medical face-to-face consultations.

METHODS

A systematic search of twelve databases was conducted. Studies investigating agreement between physician and patient ratings of communication in medical face-to-face encounters and reporting interrater agreement were included. Methodological quality was assessed, and study characteristics and physician-patient agreement were narratively summarized. Meta-analysis was conducted for a subsample of the included studies investigating shared decision making.

RESULTS

Of the 17 included studies, ten studies did not demonstrate any correspondence between physician and patient ratings. The remaining seven studies revealed poor to fair absolute agreement (κ between .13 and .42; κ_w between .31 and .49; 95% CI 0.13 - 0.76) and poor to moderate consistency (r = .17 and .06; r_polyc between .39 and .63; p < .05). Meta-analysis of six studies yielded small association (r_polyc = .15).

CONCLUSION

Physicians and patients evaluate communication differently and at best, only slightly agree in their ratings, indicating that the construct of communication is not measurable in a stable manner.

PRACTICE IMPLICATIONS

Decision makers and researchers should be aware that they assess different aspects of communication, depending on the perspective examined. PROSPERO registration number: CRD42019120065.

Interpersonal trust in doctor-patient relation: Evidence from dyadic analysis and association with quality of dyadic communication

RATIONALE

Although they form a dyadic relationship, doctor's and patient's levels of trust in the other have usually been investigated separately. As members of dyadic relationships, they influence each other's behaviors and are interdependent because they share a past history and eventually a common future.

OBJECTIVES

The aim of this paper was to examine the composition of trust in doctor-patients relationship and estimate its association with quality of doctor's communication. One-With-Many analyses (OWM) were used to examine the composition of trust variance into "doctor and patient effects", "relationship effects", and "reciprocity effects," taking into account the interdependence of the data.

METHOD

Twelve General Practitioners (GPs; Mage = 54.16, SD = 12.28, 8 men) and 189 of their patients (Mage = 47.48, SD = 9.88, 62% women) took part in the study. GPs and their patients completed postconsultation questionnaires on trust and quality of communication.

RESULTS

The findings revealed that "doctor" and "patient" effects were significant. However, the most important part of the variance was attributable to the relationship and reciprocity effects, meaning that if a doctor reported high trust in a particular patient, then the patient reported a similarly high level of trust. Higher quality of communication was positively associated to those relationship effects of trust.

CONCLUSIONS

Our study stresses the importance to investigate trust in doctor-patients relationship as a dyadic and interdependent phenomenon applying appropriate methodological design and analysis. Convergence between doctor's and patients' perceptions of their relationship may enhance trust more than conventional intervention and may ultimately contribute to better health outcomes.

A Novel Approach to Improving Patient Experience in Orthopedics

The patient experience domain comprises a significant portion of the Hospital Value-Based Purchasing program. This study investigated whether an intervention focusing on attending physician awareness, resident and physician assistant education, and multidisciplinary patient-centric care had an effect on patient perceived physician communication and overall hospital ratings. Responses to the Hospital Consumer Assessment of Healthcare Providers and Systems survey were reviewed in 2014 and 2015. Patients' perceptions that the physician explained their condition in ways they understood and the overall hospital rating improved significantly after implantation of the model ( P < .05). Patient-physician communication is important for high-quality health care and is becoming increasingly more important in hospital economics. These methods may serve as a protocol for other institutions to improve the patient experience.