First Impressions of Physicians According to Their Physical and Social Group Characteristics

Rehabilitative Health Care Professionals' Perceptions of Appearance-Based Professionalism

CONTEXT

Professionalism has been discussed and defined in a variety of ways, including attire and other forms of self-expression.

OBJECTIVES

To determine athletic trainer (AT), physical therapist (PT), and athletic training or PT students' perceptions of appearance-based professionalism in the workplace and, secondly, to ascertain how perceptions differed across professions.

DESIGN

Cross-sectional study.

SETTING

Web-based survey.

PATIENTS OR OTHER PARTICIPANTS

Athletic trainers, PTs, and athletic training and PT students who were predominantly White, non-Hispanic, female, aged 30 ± 9 years, and recruited via listservs and social media.

DATA COLLECTION AND ANALYSIS

The independent variables were participant demographics. The dependent variables were self-reported perceptions of professionalism for each photo. The survey consisted of 3 sections: demographics, 8 photos of ATs or PTs with depictions of patient-provider interactions, and open-ended responses. For each photo, participants selected yes, no, or unsure regarding the photo. An open-ended response was prompted with a no or unsure selection. The participant further described the reason for that choice.

RESULTS

Most participants determined the health care provider depicted in 7 photos appeared professional. Only 1 photo was deemed unprofessional by the professional majority. Significant differences existed between students and professionals for 5 photos. The proportion of participants who reported the photos were unprofessional differed among professions for 2 photos. From our qualitative analysis, we found 6 domains: (1) unprofessional attire and hair, (2) situation-dependent attire, (3) role confusion and health care employer or employee identification, (4) nonappearance related, (5) tattoo-related bias, and (6) rethinking after question is displayed.

CONCLUSION

What is considered appropriate and professional is not concrete. Differing concepts of professionalism generated biased judgments and criticisms.

CLINICAL RELEVANCE

Our findings should lead providers to reexamine the definition of professionalism. The past should not dictate the future, and today's social mores can help shape the definition as it should be considered in today's settings.

How do patients' perceptions and doctors' images impact patient decisions? Deconstructing online physician selection using multimodal data

In the post-pandemic era, medical resources are uneven, and access to healthcare is complicated. Online medical platforms have become a solution to bridge the information gap and reduce hospital pressure. This study uses the stereotype content model and signaling theory to explore the impact of patient perception of patient decision making (PDM) on online medical service platforms. Also, it tests the moderating effect of physician image. We collected information on 12,890 physicians and 746,981 patient reviews from online medical platforms in China. Unsupervised machine learning was used to construct a topic model to extract patients' perceptions of physicians' competence and warmth. Meanwhile, the facial features of physicians, such as age, smile, and glasses, are recognized by convolutional neural networks. Finally, the influence of PDM concern on decision-making and the moderating effect of physician image were analyzed by multiple linear regression. The results of the study showed that (1) patients' perceptions of physicians' competence and warmth had a positive effect on decision-making; (2) physicians' age and wearing glasses enhanced the positive effect of perception on decision-making; and (3) however, physicians' smiles weakened the positive effect of perception on decision-making. This study provides new insights into patients' online physician selection, guides the construction and promotion of medical service platforms, and provides an effective avenue of exploration to alleviate the problem of uneven distribution of offline medical resources.

The Effect of Physician Immediacy on Patient Liking for Physician, Motivation, and Recall

Guided by the fostering relationships function of patient-centered communication (PCC), the present study utilized a 2 (high/low nonverbal immediacy) x 2 (high/low verbal immediacy) between-subjects experimental design to determine whether physician verbal and nonverbal immediacy influenced participant liking for physician, motivation to process a health message, and recall of the health message. An actor physician delivered a 3-4 minute video-recorded message, diagnosing U.S. adult participants, serving as analogue patients, with a health issue. The results indicated main effects for physician verbal immediacy and nonverbal immediacy on participant liking for physician and motivation such that participants had greater liking for the physician and motivation to do what the physician requested when the physician demonstrated greater verbal and nonverbal immediacy. However, physician verbal and nonverbal immediacy did not influence participants' recall. Physicians should consider displaying verbal and nonverbal immediacy to create a positive impression among patients, and to motivate patients to take steps to improve their health.

Judging health care priority in emergency situations: Patient facial appearance matters

RATIONALE

Extensive research has shown that implicit trait inferences from facial appearance can bias everyday life in a pervasive way, influencing our decisions in different social contexts such as mate choice, political vote and criminal sentence. In situations characterized by time pressure and scant information, decisions based on inferences from facial appearance may have particularly critical and serious consequences, such as in emergency healthcare. No studies today have investigated this aspect in an actual emergency.

OBJECTIVE

The aim of the present study was to go beyond this gap and to determine whether implicit inferences from patients' facial appearance could be predictive of disparities in clinical evaluations and priority of treatment.

METHODS

In total, 183 cases of patients were evaluated by independent judges at zero acquaintance on the basis of different implicit facial appearance-based inferences, including trustworthiness and distress. Color-based priority code (White, Green, or Yellow) attributed by the triage nurse at the end of the registration process were recorded.

RESULTS

Our results showed that more trustworthy- and distressed- looking patients' faces have been associated with a higher priority code.

CONCLUSIONS

The present study shows that specific facial appearance-based inferences influence the attribution of priority code in healthcare that require quick decisions based on scarce clinical information such as in emergency. These results suggest the importance to bring to the attention of the healthcare professionals' the possibility of being victims of implicit inferences, and prompt to design educational interventions capable to increase their awareness of this bias in clinical evaluation.