Tools to facilitate communication during physician-patient consultations in cancer care: An overview of systematic reviews.

Tools have been developed to facilitate communication and support information exchange between people diagnosed with cancer and their physicians. Patient-reported outcome measures, question prompt lists, patient-held records, tape recordings of consultations, decision aids, and survivorship care plans have all been promoted as potential tools, and there is extensive literature exploring their impact on patient outcomes. Eleven systematic reviews of studies evaluating tools to facilitate patient-physician communication were reviewed and summarized in this overview of systematic reviews. Across the systematic reviews, 87 publications reported on 84 primary studies involving 15,381 participants. Routine use of patient-reported outcome measures and feedback of results to clinicians can improve pain management, physician-patient communication, and symptom detection and control; increase utilization of supportive care; and increase patient involvement in care. Question prompt lists can increase the number of questions asked by patients without increasing consultation length and may encourage them to reflect and plan questions before the consultation. There is limited benefit in audio recording consultations or using patient-held records during consultations. Physicians should be supported by adequately resourced health services to respond effectively to the range of clinical and broader patient needs identified through the routine use of tools to facilitate communication.

The Effect of Practitioner Empathy on Patient Satisfaction : A Systematic Review of Randomized Trials.

BACKGROUND: Practitioners who deliver enhanced empathy may improve patient satisfaction with care. Patient satisfaction is associated with positive patient outcomes ranging from medication adherence to survival. PURPOSE: To evaluate the effect of health care practitioner empathy on patient satisfaction, using a systematic review of randomized trials. DATA SOURCES: Ovid MEDLINE, CINAHL, PsycInfo, Cochrane Central Register of Controlled Trials, and Scopus to 23 October 2023. STUDY SELECTION: Randomized trials published in any language that evaluated the effect of empathy on improving patient satisfaction as measured on a validated patient satisfaction scale. DATA EXTRACTION: Data extraction, risk-of-bias assessments, and strength-of-evidence assessments were done by 2 independent reviewers. Disagreements were resolved through consensus. DATA SYNTHESIS: Fourteen eligible randomized trials (80 practitioners; 1986 patients) were included in the analysis. Five studies had high risk of bias, and 9 had some concerns about bias. The trials were heterogeneous in terms of geographic locations (North America, Europe, Asia, and Africa), settings (hospital and primary care), practitioner types (family and hospital physicians, anesthesiologists, nurses, psychologists, and caregivers), and type of randomization (individual patient or clustered by practitioner). Although all trials suggested a positive change in patient satisfaction, inadequate reporting hindered the ability to draw definitive conclusions about the overall effect size. LIMITATIONS: Heterogeneity in the way that empathy was delivered and patient satisfaction was measured and incomplete reporting leading to concerns about the certainty of the underpinning evidence. CONCLUSION: Various empathy interventions have been studied to improve patient satisfaction. Development, testing, and reporting of high-quality studies within well-defined contexts is needed to optimize empathy interventions that increase patient satisfaction. PRIMARY FUNDING SOURCE: Stoneygate Trust. (PROSPERO: CRD42023412981).

Principles for the Physician-Led Patient-Centered Medical Home and Other Approaches to Team-Based Care: A Position Paper From the American College of Physicians.

Team-based care models such as the Patient-Centered Medical Home are associated with improved patient health outcomes, better team coordination and collaboration, and increased well-being among health care professionals. Despite these attributes, hindrances to wider adoption remain. In addition, some health care professionals have sought to practice independent of the physician-led health care team, potentially undermining patient access to physicians who have the skills and training to deliver whole-person, comprehensive, and longitudinal care. In this paper, the American College of Physicians reaffirms the importance of the physician-led health care team and offers policy recommendations on professionalism, payment models, training, licensure, and research to support the expansion of dynamic clinical care teams.

Patient activation reduces effects of implicit bias on doctor-patient interactions.

Disparities between Black and White Americans persist in medical treatment and health outcomes. One reason is that physicians sometimes hold implicit racial biases that favor White (over Black) patients. Thus, disrupting the effects of physicians' implicit bias is one route to promoting equitable health outcomes. In the present research, we tested a potential mechanism to short-circuit the effects of doctors' implicit bias: patient activation, i.e., having patients ask questions and advocate for themselves. Specifically, we trained Black and White standardized patients (SPs) to be "activated" or "typical" during appointments with unsuspecting oncologists and primary care physicians in which SPs claimed to have stage IV lung cancer. Supporting the idea that patient activation can promote equitable doctor-patient interactions, results showed that physicians' implicit racial bias (as measured by an implicit association test) predicted racially biased interpersonal treatment among typical SPs (but not among activated SPs) across SP ratings of interaction quality and ratings from independent coders who read the interaction transcripts. This research supports prior work showing that implicit attitudes can undermine interpersonal treatment in medical settings and provides a strategy for ensuring equitable doctor-patient interactions.

White patients' physical responses to healthcare treatments are influenced by provider race and gender.

The healthcare workforce in the United States is becoming increasingly diverse, gradually shifting society away from the historical overrepresentation of White men among physicians. However, given the long-standing underrepresentation of people of color and women in the medical field, patients may still associate the concept of doctors with White men and may be physiologically less responsive to treatment administered by providers from other backgrounds. To investigate this, we varied the race and gender of the provider from which White patients received identical treatment for allergic reactions and measured patients' improvement in response to this treatment, thus isolating how a provider's demographic characteristics shape physical responses to healthcare. A total of 187 White patients experiencing a laboratory-induced allergic reaction interacted with a healthcare provider who applied a treatment cream and told them it would relieve their allergic reaction. Unbeknownst to the patients, the cream was inert (an unscented lotion) and interactions were completely standardized except for the provider's race and gender. Patients were randomly assigned to interact with a provider who was a man or a woman and Asian, Black, or White. A fully blinded research assistant measured the change in the size of patients' allergic reaction after cream administration. Results indicated that White patients showed a weaker response to the standardized treatment over time when it was administered by women or Black providers. We explore several potential explanations for these varied physiological treatment responses and discuss the implications of problematic race and gender dynamics that can endure "under the skin," even for those who aim to be bias free.

Physicians prescribe fewer analgesics during night shifts than day shifts.

Adequate pain management is one of the biggest challenges of the modern healthcare system. Physician perception of patient subjective pain, which is crucial to pain management, is susceptible to a host of potential biases. Here we explore the timing of physicians' work as a previously unrecognized source of systematic bias in pain management. We hypothesized that during night shifts, sleep deprivation, fatigue, and stress would reduce physicians' empathy for others' pain, leading to underprescription of analgesics for patient pain relief. In study 1, 67 resident physicians, either following a night shift or not, performed empathy for pain assessment tasks and simulated patient scenarios in laboratory conditions. As predicted, following a night shift, physicians showed reduced empathy for pain. In study 2, we explored this phenomenon in medical decisions in the field. We analyzed three emergency department datasets from Israel and the United States that included discharge notes of patients arriving with pain complaints during 2013 to 2020 (n = 13,482). Across all datasets, physicians were less likely to prescribe an analgesic during night shifts (compared to daytime shifts) and prescribed fewer analgesics than generally recommended by the World Health Organization. This effect remained significant after adjusting for patient, physician, type of complaint, and emergency department characteristics. Underprescription for pain during night shifts was particularly prominent for opioids. We conclude that night shift work is an important and previously unrecognized source of bias in pain management, likely stemming from impaired perception of pain. We consider the implications for hospitals and other organizations employing night shifts.

Artificial Intelligence in the Provision of Health Care: An American College of Physicians Policy Position Paper.

Internal medicine physicians are increasingly interacting with systems that implement artificial intelligence (AI) and machine learning (ML) technologies. Some physicians and health care systems are even developing their own AI models, both within and outside of electronic health record (EHR) systems. These technologies have various applications throughout the provision of health care, such as clinical documentation, diagnostic image processing, and clinical decision support. With the growing availability of vast amounts of patient data and unprecedented levels of clinician burnout, the proliferation of these technologies is cautiously welcomed by some physicians. Others think it presents challenges to the patient-physician relationship and the professional integrity of physicians. These dispositions are understandable, given the "black box" nature of some AI models, for which specifications and development methods can be closely guarded or proprietary, along with the relative lagging or absence of appropriate regulatory scrutiny and validation. This American College of Physicians (ACP) position paper describes the College's foundational positions and recommendations regarding the use of AI- and ML-enabled tools and systems in the provision of health care. Many of the College's positions and recommendations, such as those related to patient-centeredness, privacy, and transparency, are founded on principles in the ACP Ethics Manual. They are also derived from considerations for the clinical safety and effectiveness of the tools as well as their potential consequences regarding health disparities. The College calls for more research on the clinical and ethical implications of these technologies and their effects on patient health and well-being.

Patient-physician sex concordance and outcomes in cardiovascular disease: a systematic review.

The sex disparity in outcomes of patients with cardiovascular disease is well-described and has persisted across recent decades. While there have been several proposed mechanisms to explain this disparity, there are limited data on female patient-physician sex concordance and its association with outcomes. The authors review the existing literature on the relationship between patient-physician sex concordance and clinical outcomes in patients with cardiovascular disease, the evidence of a benefit in clinical outcomes with female patient-physician sex concordance, and the possible drivers of such a benefit and highlight directions for future study.

Trust-building: Why Virtual Formats Threaten the Moral Ends of Surgical Informed Consent.

The coronavirus disease 2019 pandemic forced a wide range of medical practices to virtual formats, including the preoperative informed consent practice. However, virtual informed consent persists despite the pandemic being largely considered resolved. The continued use of virtual formats relies on a problematic "information transfer" model of informed consent. We suggest a "trust-building" model of consent as a better conceptualization of what is occurring during the consent process. Highlighting how virtual formats might fail to fulfill this fuller understanding of consent on both interpersonal and systemic levels, we offer an ethical structure for physicians to navigate this novel virtual space.

A randomized controlled trial of shared decision-making treatment planning process to enhance shared decision-making in patients with MBC.

PURPOSE: Opportunities exist for patients with metastatic breast cancer (MBC) to engage in shared decision-making (SDM). Presenting patient-reported data, including patient treatment preferences, to oncologists before or during a treatment plan decision may improve patient engagement in treatment decisions. METHODS: This randomized controlled trial evaluated the standard-of-care treatment planning process vs. a novel treatment planning process focused on SDM, which included oncologist review of patient-reported treatment preferences, prior to or during treatment decisions among women with MBC. The primary outcome was patient perception of shared decision-making. Secondary outcomes included patient activation, treatment satisfaction, physician perception of treatment decision-making, and use of treatment plans. RESULTS: Among the 109 evaluable patients from December 2018 to June 2022, 28% were Black and 12% lived in a highly disadvantaged neighborhood. Although not reaching statistical significance, patients in the intervention arm perceived SDM more often than patients in the control arm (63% vs. 59%; Cramer's V = 0.05; OR 1.19; 95% CI 0.55-2.57). Among patients in the intervention arm, 31% were at the highest level of patient activation compared to 19% of those in the control arm (V = 0.18). In 82% of decisions, the oncologist agreed that the patient-reported data helped them engage in SDM. In 45% of decision, they reported changing management due to patient-reported data. CONCLUSIONS: Oncologist engagement in the treatment planning process, with oncologist review of patient-reported data, is a promising approach to improve patient participation in treatment decisions which should be tested in larger studies. TRIAL REGISTRATION: NCT03806738.

Barriers to home dialysis and kidney transplantation for socially disadvantaged individuals.

PURPOSE OF REVIEW: People with kidney disease facing social disadvantage have multiple barriers to quality kidney care. The aim of this review is to summarize the patient, clinician, and system wide factors that impact access to quality kidney care and discuss potential solutions to improve outcomes for socially disadvantaged people with kidney disease. RECENT FINDINGS: Patient level factors such as poverty, insurance, and employment affect access to care, and low health literacy and kidney disease awareness can affect engagement with care. Clinician level factors include lack of early nephrology referral, limited education of clinicians in home dialysis and transplantation, and poor patient-physician communication. System-level factors such as lack of predialysis care and adequate health insurance can affect timely access to care. Neighborhood level socioeconomic factors, and lack of inclusion of these factors into public policy payment models, can affect ability to access care. Moreover, the effects of structural racism and discrimination nay negatively affect the kidney care experience for racially and ethnically minoritized individuals. SUMMARY: Patient, clinician, and system level factors affect access to and engagement in quality kidney care. Multilevel solutions are critical to achieving equitable care for all affected by kidney disease.

Disparities Associated with Decision to Undergo Oncologic Surgery: A Prospective Mixed-Methods Analysis.

BACKGROUND: Underrepresented minority patients with surgical malignancies experience disparities in outcomes. The impact of provider-based factors, including communication, trust, and cultural competency, on outcomes is not well understood. This study examines modifiable provider-based barriers to care experienced by patients with surgical malignancies. METHODS: A parallel, prospective, mixed-methods study enrolled patients with lung or gastrointestinal malignancies undergoing surgical consultation. Surveys assessed patients' social needs and patient-physician relationship. Semi-structured interviews ascertained patient experiences and were iteratively analyzed, identifying key themes. RESULTS: The cohort included 24 patients (age 62 years; 63% White and 38% Black/African American). The most common cancers were lung (n = 18, 75%) and gastroesophageal (n = 3, 13%). Survey results indicated that food insecurity (n = 5, 21%), lack of reliable transportation (n = 4, 17%), and housing instability (n = 2, 8%) were common. Lack of trust in their physician (n = 3, 13%) and their physician's treatment recommendation (n = 3, 13%) were identified. Patients reported a lack of empathy (n = 3, 13%), lack of cultural competence (n = 3, 13%), and inadequate communication (n = 2, 8%) from physicians. Qualitative analysis identified five major themes regarding the decision to undergo surgery: communication, trust, health literacy, patient fears, and decision-making strategies. Five patients (21%) declined the recommended surgery and were more likely Black (100% vs. 21%), lower income (100% vs. 16%), and reported poor patient-physician relationship (40% vs. 5%; all p < 0.05). CONCLUSIONS: Factors associated with declining recommended cancer surgery were underrepresented minority race and poor patient-physician relationships. Interventions are needed to improve these barriers to care and racial disparities.

BREAST-Q REACT: Qualitative Assessment of the Design, Functionality, and Clinical Utility of a New Score Interpretation Tool.

BACKGROUND: The BREAST-Q real-time engagement and communication tool (REACT) was developed to aid with BREAST-Q score interpretation and guide patient-centered care. OBJECTIVE: The purpose of this qualitative study was to examine the perspectives of patients and providers on the design, functionality, and clinical utility of REACT and refine the REACT based on their recommendations. METHODS: We conducted three patient focus groups with women who were at least 6 postoperative months from their postmastectomy breast reconstruction, and two provider focus groups with plastic surgeons, breast surgeons, and advanced practice providers. Focus groups were audio-taped, transcribed verbatim, and analyzed thematically. RESULTS: A total of 18 breast reconstruction patients and 14 providers participated in the focus groups. Themes identified by thematic analysis were organized into two categories: (1) design and functionality, and (2) clinical utility. On the design and functionality of REACT, four major themes were identified: visual appeal and usefulness; contextualizing results; ability to normalize patients' experiences, noting participants' concerns; and suggested modifications. On the clinical utility of REACT, three major themes were identified: potential to empower patients to communicate with their providers; increase patient and provider motivation to engage with the BREAST-Q; and effective integration into clinical workflow. CONCLUSION: Patients and providers in this qualitative study indicated that with some modifications, REACT has a great potential to elevate the clinical utility of the BREAST-Q by enhancing patient-provider communication that can lead to patient-centered, clinically relevant action recommendations based on longitudinal BREAST-Q scores.

Patient decision-making in the era of transcarotid artery revascularization.

OBJECTIVE: The National Coverage Determination on carotid stenting by Medicare in October 2023 stipulates that patients participate in a shared decision-making (SDM) conversation with their proceduralist before an intervention. However, to date, there is no validated SDM tool that incorporates transcarotid artery revascularization (TCAR) into its decision platform. Our objective was to elicit patient and surgeon experiences and preferences through a qualitative approach to better inform the SDM process surrounding carotid revascularization. METHODS: We performed longitudinal perioperative semistructured interviews of 20 participants using purposive maximum variation sampling, a qualitative technique designed for identification and selection of information-rich cases, to define domains important to participants undergoing carotid endarterectomy or TCAR and impressions of SDM. We also performed interviews with nine vascular surgeons to elicit their input on the SDM process surrounding carotid revascularization. Interview data were coded and analyzed using inductive content analysis coding. RESULTS: We identified three important domains that contribute to the participants' ultimate decision on which procedure to choose: their individual values, their understanding of the disease and each procedure, and how they prefer to make medical decisions. Participant values included themes such as success rates, "wanting to feel better," and the proceduralist's experience. Participants varied in their desired degree of understanding of carotid disease, but all individuals wished to discuss each option with their proceduralist. Participants' desired medical decision-making style varied on a spectrum from complete autonomy to wanting the proceduralist to make the decision for them. Participants who preferred carotid endarterectomy felt outcomes were superior to TCAR and often expressed a desire to eliminate the carotid plaque. Those selecting TCAR felt it was a newer, less invasive option with the shortest procedural and recovery times. Surgeons frequently noted patient factors such as age and anatomy, as well as the availability of long-term data, as reasons to preferentially select one procedure. For most participants, their surgeon was viewed as the most important source of information surrounding their disease and procedure. CONCLUSIONS: SDM surrounding carotid revascularization is nuanced and marked by variation in patient preferences surrounding autonomy when choosing treatment. Given the mandate by Medicare to participate in a SDM interaction before carotid stenting, this analysis offers critical insights that can help to guide an efficient and effective dialog between patients and providers to arrive at a shared decision surrounding therapeutic intervention for patients with carotid disease.

The role of artificial intelligence in informed patient consent for radiotherapy treatments-a case report.

Recent advancements in large language models (LMM; e.g., ChatGPT (OpenAI, San Francisco, California, USA)) have seen widespread use in various fields, including healthcare. This case study reports on the first use of LMM in a pretreatment discussion and in obtaining informed consent for a radiation oncology treatment. Further, the reproducibility of the replies by ChatGPT 3.5 was analyzed. A breast cancer patient, following legal consultation, engaged in a conversation with ChatGPT 3.5 regarding her radiotherapy treatment. The patient posed questions about side effects, prevention, activities, medications, and late effects. While some answers contained inaccuracies, responses closely resembled doctors' replies. In a final evaluation discussion, the patient, however, stated that she preferred the presence of a physician and expressed concerns about the source of the provided information. The reproducibility was tested in ten iterations. Future guidelines for using such models in radiation oncology should be driven by medical professionals. While artificial intelligence (AI) supports essential tasks, human interaction remains crucial.

Navigating Uncertainty in Clinical Practice: A Structured Approach.

The practice of clinical medicine is imbued with uncertainty. The ways in which clinicians and patients think about, communicate about, and act within situations of heightened uncertainty can have significant implications for the therapeutic alliance and for the trajectory and outcomes of clinical care. Despite this, there is limited guidance about the best methods for physicians to recognize, acknowledge, communicate about, and manage uncertainty in clinical settings. In this paper, we propose a structured approach for discussing and managing uncertainty within the context of a clinician-patient relationship. The approach involves four steps: Recognize, Acknowledge, Partner, and Seek Support (i.e., the RAPS framework). The approach is guided by existing literature on uncertainty as well as our own experience as clinicians working at different stages of career. We define each component of the approach and present sample language and actions for how to implement it in practice. Our aim is to empower clinicians to regard situations of high uncertainty as an opportunity to deepen the therapeutic alliance with the patient, and simultaneously to grow and learn as practitioners.

The Patient-Physician Relationship: Medical Students' Perceptions in a Novel Course.

The patient-physician relationship, especially in the case of severely ill patients, is often fraught with anxiety, grief, and guilt in the physician who may come to feel that he or she has failed the patient and thereby becomes a "second victim." This notion was first explored in a 1973 publication (Artiss and Levine N Engl J Med 288(23):1210-4, 1973) that described a novel interactive seminar series for oncology fellows that had been designed to address and possibly remedy the frequent disquiet experienced by young physicians in this setting. Fifty years later, the medical student co-authors of this Perspective enrolled in an elective course that comprised a similar series of interactive seminars, now addressing the contemporary patient-physician relationship. The earlier paper was employed as a historical background, and the framework of the course then broadened such that the students considered the current environmental changes in medical practice (social, cultural, financial, legal, policy) that may be linked to the character of individual patient-physician relationships. This essay reports on the students' perception of such relationships, and on the environmental elements that may be helpful or harmful to the well-being of both patients and physicians.

Using Voice-to-Voice Machine Translation to Overcome Language Barriers in Clinical Communication: An Exploratory Study.

BACKGROUND: Machine translation (MT) apps are used informally by healthcare professionals in many settings, especially where interpreters are not readily available. As MT becomes more accurate and accessible, it may be tempting to use MT more widely. Institutions and healthcare professionals need guidance on when and how these applications might be used safely and how to manage potential risks to communication. OBJECTIVES: Explore factors that may hinder or facilitate communication when using voice-to-voice MT. DESIGN: Health professionals volunteered to use a voice-to-voice MT app in routine encounters with their patients. Both health professionals and patients provided brief feedback on the experience, and a subset of consultations were observed. PARTICIPANTS: Doctors, nurses, and allied health professionals working in the Primary Care Division of the Geneva University Hospitals, Switzerland. MAIN MEASURES: Achievement of consultation goals; understanding and satisfaction; willingness to use MT again; difficulties encountered; factors affecting communication when using MT. KEY RESULTS: Fourteen health professionals conducted 60 consultations in 18 languages, using one of two voice-to-voice MT apps. Fifteen consultations were observed. Professionals achieved their consultation goals in 82.7% of consultations but were satisfied with MT communication in only 53.8%. Reasons for dissatisfaction included lack of practice with the app and difficulty understanding patients. Eighty-six percent of patients thought MT-facilitated communication was easy, and most participants were willing to use MT in the future (73% professionals, 84% patients). Experiences were more positive with European languages. Several conditions and speech practices were identified that appear to affect communication when using MT. CONCLUSION: While professional interpreters remain the gold standard for overcoming language barriers, voice-to-voice MT may be acceptable in some clinical situations. Healthcare institutions and professionals must be attentive to potential sources of MT errors and ensure the conditions necessary for safe and effective communication. More research in natural settings is needed to inform guidelines and training on using MT in clinical communication.

The "Difficult" Inpatient, a Qualitative Study of Physician Perspectives.

BACKGROUND: Previous studies exploring difficult inpatients have mostly focused on psychiatric inpatients. OBJECTIVE: To explore the characteristics of difficult medicine inpatients. DESIGN: Qualitative study using focus groups and semi-structured interviews. Transcripts were recorded, transcribed, and coded (MAXQDA) using thematic content analysis. PARTICIPANTS: Medicine inpatient providers at a tertiary care facility. KEY RESULTS: Our sample consisted of 28 providers (6 hospitalists, 10 medicine attendings, 6 medicine residents, and 6 interns). Theme 1: Provider experience: Difficult inpatients were time-consuming and evoked emotional responses including frustration and dysphoria. Theme 2: Patient characteristics: Included having personality disorders or mental health issues, being uncooperative, manipulative, angry, demanding, threatening, or distrustful. Difficult patients also had challenging social situations and inadequate support, unrealistic care expectations, were self-destructive, tended to split care-team messages, and had unclear diagnoses. Theme 3: Difficult families: Shared many characteristics of difficult patients including being distrustful, demanding, manipulative, threatening, or angry. Difficult families were barriers to care, disagreed with the treatment plan and each other, did not act in the patient's best interest, suggested inappropriate treatment, or had unrealistic expectations. STRATEGIES: Approaches to dealing with difficult patients or families included building trust, being calm, and having a consistent message. Communication approaches included naming the emotion, empathetic listening, identifying patient priorities and barriers, and partnering. CONCLUSIONS: Difficult patients induced emotional responses, dysphoria, and self-doubt among providers. Underlying personality disorders were often mentioned. Difficult patients and families shared many characteristics. Communication and training were highlighted as key strategies.