The Importance Of Integrating Narrative Into Health Care Decision Making

The Encounter of Two Worlds: Divided Narratives of Decision-Making on Cancer Treatment Between Physicians and Patients

INTRODUCTION

Divided narratives pose long-standing difficulties in physician and patient communication. In decision-making on cancer treatment, divided narratives between physicians and patients hinder mutual understanding and agreement over the illness and its treatment. For effective decision-making on treatments, it is necessary to investigate the similarities and differences in these divided narratives.

METHODS

This study adopted a qualitative research design of narrative inquiry to examine the data, which included interviews with 32 cancer patients and 16 paired physicians in two hospitals in China. Data analysis was conducted using grounded theory to generate findings.

RESULTS

Both physicians and patients were concerned about goals and obstacles to their decision-making on cancer treatment. Four common aspects of goal setting were identified from the divided narratives: decision pools, treatment goals, identity practice and preferred identity. Four common obstacles were identified: pains and trust, communication gap, financial issues and complex family. However, the meanings attached to these eight aspects differed between physicians and patients.

CONCLUSION

Cancer treatment decision-making is an encounter of the scientific world and lifeworld. A divided narrative approach can identify the similarities and differences in the decision-making on cancer treatment between physicians and patients. Physicians generally adopt a rational decision-making approach, whereas patients generally adopt a relational decision-making approach. Despite the common concerns in their goals and obstacles, physicians and patients differed in their contextualized interpretations, which demonstrates the physicians' and the patients' pursuit of preferred identities in decision-making. The results of this study provide a new perspective to treatment decision-making, emphasizing the importance of narrative integration in reaching mutual agreement.

PATIENT AND PUBLIC CONTRIBUTION

The findings were shared with 15 cancer patients and caregivers for feedback and advice in June 2024. This study was also presented at the international conferences of COMET (International and Interdisciplinary Conference on Communication, Medicine, and Ethics) and ICCH (International Conference on Communication in Healthcare) 2023 for continuous feedback and comments.

"Nothing Is More Powerful than Words:" How Patient Experience Narratives Enable Improvement

BACKGROUND AND OBJECTIVES

Patient experience narratives (narratives) are an increasingly important element of both measurement approaches and improvement efforts in healthcare. Prior studies show that narratives are considered by both clinicians and staff to be an appealing, meaningful, and credible form of evidence on performance. They also suggest that making concrete use of narratives within organizational settings to improve care can be complex and challenging. Our qualitative study was designed to explore how middle managers working in a health system's outpatient clinics value and use written narratives in their day-to-day work.

METHODS

We conducted qualitative interviews with 20 middle managers working in 8 outpatient clinics. Interviews were fully transcribed, loaded into MAX-QDA software, and coded using thematic analysis techniques. Code reports were extracted and reanalyzed for subthemes related to the objectives of this paper.

RESULTS

Middle managers across sites described valuing narratives as a tool to: enable better patient experience assessment by augmenting data from patient experience scores; deepen understanding of and relationships with patients; provide insight about operational issues; identify areas for needed improvement and potential solutions; and facilitate strategic work. They reported using narratives for a range of activities related to their roles as supervisors, such as focusing attention on positive practices and needed improvements, promoting deeper group learning, motivating change, reinforcing sense of purpose for staff, recognizing staff strengths and training needs, and inspiring transformational thinking. Finally, interviewees reported numerous specific quality improvement projects (both short- and longer-term) that were informed by narratives-for example, by identifying an issue to be addressed or by suggesting a workable solution. Together, these interviews suggest a collective "narrative about narratives" woven by these organizational actors-a story which illustrates how narratives are highly relevant for how middle managers derive meaning from their work, put organizational values such as responsive service provision into practice, and enact their roles as supervisors.

CONCLUSIONS

Our results add to the nascent literature a detailed description of how narratives can be used both as a tool for middle managers in their leadership and supervisory roles, and as a blueprint for improvement work within outpatient settings. They also illuminate why patient experience scores may improve when narrative data are collected and used. Finally, our results suggest that for middle managers, perhaps "nothing is more powerful than words" because narratives function as both an insight provider and a compelling tool that adds direction and meaning to workplace endeavors.

Bias in team decision-making for advanced heart failure therapies: model application

Bias in advanced heart failure therapy allocation results in inequitable outcomes for minoritized populations. The purpose of this study was to examine how bias is introduced during group decision-making with an interprofessional team using Breathett's Model of Heart Failure Decision-Making. This was a secondary qualitative descriptive analysis from a study focused on bias in advanced heart failure therapy allocation. Team meetings were recorded and transcribed from four heart failure centers. Breathett's Model was applied both deductively and inductively to transcripts (n = 12). Bias was identified during discussions about patient characteristics, clinical fragility, and prior clinical decision-making. Some patients were labeled as "good citizens" or as adherent/non-adherent while others benefited from strong advocacy from interprofessional team members. Social determinants of health also impacted therapy allocation. Interprofessional collaboration with advanced heart failure therapy allocation may be enhanced with the inclusion of patient advocates and limit of clinical decision-making using subjective data.

Assessing an innovative method to promote learning from patient narratives: Findings from a field experiment in ambulatory care

OBJECTIVE

To assess whether an online interactive report designed to facilitate interpretation of patients' narrative feedback produces change in ambulatory staff learning, behavior at the individual staff and practice level, and patient experience survey scores.

DATA SOURCES AND SETTING

We studied 22 ambulatory practice sites within an academic medical center using three primary data sources: 333 staff surveys; 20 in-depth interviews with practice leaders and staff; and 9551 modified CG-CAHPS patient experience surveys augmented by open-ended narrative elicitation questions.

STUDY DESIGN

We conducted a cluster quasi-experimental study, comparing 12 intervention and 10 control sites. At control sites, narratives were delivered free-form to site administrators via email; at intervention sites, narratives were delivered online with interactive tools for interpretation, accompanied by user training. We assessed control-versus-intervention site differences in learning, behavior, and patient experience scores.

DATA COLLECTION

Staff surveys and interviews were completed at intervention and control sites, 9 months after intervention launch. Patient surveys were collected beginning 4 months pre-launch through 9 months post-launch. We used control-versus-intervention and difference-in-difference analyses for survey data and thematic analysis for interview data.

PRINCIPAL FINDINGS

Interviews suggested that the interface facilitated narrative interpretation and use for improvement. Staff survey analyses indicated enhanced learning from narratives at intervention sites (29% over control sites' mean of 3.19 out of 5 across eight domains, p < 0.001) and greater behavior change at staff and practice levels (31% and 21% over control sites' means of 3.35 and 3.39, p < 0.001, respectively). Patient experience scores for interactions with office staff and wait time information increased significantly at intervention sites, compared to control sites (3.7% and 8.2%, respectively); however, provider listening scores declined 3.3%.

CONCLUSIONS

Patient narratives presented through structured feedback reporting methods can catalyze positive changes in staff learning, promote behavior change, and increase patient experience scores in domains of non-clinical interaction.

Supporting shared decision-making in medicines use with people living with dementia and their carers

Polypharmacy and inappropriate prescribing of psychotropic medicines are common among people living with dementia and pose considerable health risks. One way of addressing these issues is by involving the person and their carer in shared decision-making. This article discusses some of the issues related to polypharmacy and inappropriate prescribing in people living with dementia and examines the concept of shared decision-making in this context. The author details some practical aids that nurses and other healthcare professionals can use to engage people living with dementia and their carers in shared decision-making about medicines use.

Strategies to Assess the Effect of Continuous Positive Airway Pressure on Long-Term Clinically Important Outcomes among Patients with Symptomatic Obstructive Sleep Apnea: An Official American Thoracic Society Workshop Report

Continuous positive airway pressure (CPAP) is the first-line treatment for obstructive sleep apnea (OSA). Although CPAP improves symptoms (e.g., daytime sleepiness), there is a lack of high-quality evidence that CPAP prevents many long-term outcomes, including cognitive impairment, myocardial infarction, and stroke. Observational studies suggest that patients with symptoms may be particularly likely to experience these preventive benefits with CPAP, but ethical and practical concerns limited the participation of such patients in prior long-term randomized trials. As a result, there is uncertainty about the full benefits of CPAP, and resolving this uncertainty is a key priority for the field. This workshop assembled clinicians, researchers, ethicists, and patients to identify strategies to understand the causal effects of CPAP on long-term clinically important outcomes among patients with symptomatic OSA. Quasi-experimental designs can provide valuable information and are less time and resource intensive than trials. Under specific conditions and assumptions, quasi-experimental studies may be able to provide causal estimates of CPAP's effectiveness from generalizable observational cohorts. However, randomized trials represent the most reliable approach to understanding the causal effects of CPAP among patients with symptoms. Randomized trials of CPAP can ethically include patients with symptomatic OSA, as long as there is outcome-specific equipoise, adequate informed consent, and a plan to maximize safety while minimizing harm (e.g., monitoring for pathologic sleepiness). Furthermore, multiple strategies exist to ensure the generalizability and practicality of future randomized trials of CPAP. These strategies include reducing the burden of trial procedures, improving patient-centeredness, and engaging historically excluded and underserved populations.

Recognizing and Maximizing the Nexus of Perioperative Medicine and Narrative Medicine

Perioperative medicine remains an evolving, interdisciplinary subspecialty, which encompasses the unique perspectives and incorporates the respective vital expertise of numerous stakeholders. This integrated model of perioperative medicine and care has a wide-ranging set of clinical, strategic, and operational goals. Among these various programmatic goals, a subset of 4, specific, interdependent goals include (1) enhancing patient-centered care, (2) embracing shared decision-making, (3) optimizing health literacy, and (4) avoiding futile surgery. Achieving and sustaining this subset of 4 goals requires continued innovative approaches to perioperative care. The burgeoning field of narrative medicine represents 1 such innovative approach to perioperative care. Narrative medicine is considered the most prominent recent development in the medical humanities. Its central tenet is that attention to narrative-in the form of the patient's story, the clinician's story, or a story constructed together by the patient and clinician-is essential for optimal patient care. If we can view the health care experience through the patient's eyes, we will become more responsive to patients' needs and, thereby, better clinicians. There is a potential clinical nexus between the perioperative medicine practice and narrative medicine skills, which, if capitalized, can maximize perioperative patient care. There are a number of untapped educational and research opportunities in this fruitful nexus between perioperative medicine and narrative medicine.

Visual policy narrative messaging improves COVID-19 vaccine uptake

In the face of vaccine hesitancy, public health officials are seeking more effective risk communication approaches to increase vaccination rates. We test the influence of visual policy narratives on COVID-19 vaccination behavior through a panel survey experiment conducted in early 2021 (n = 3,900) and then 8 weeks later (n = 2,268). We examine the effects of three visual policy narrative messages that test the narrative mechanism of character selection (yourself, your circle, and your community) and a nonnarrative control on COVID-19 vaccine behavior. Visual risk messages that use narratives positively influence COVID-19 vaccination through serial mediation of affective response to the messages and motivation to get the COVID-19 vaccination. Additionally, character selection matters, as messages focusing on protecting others (i.e. your circle and your community) perform stronger than those of yourself. Political ideology moderated some of the effects, with conservative respondents in the nonnarrative control condition having a higher probability of vaccination in comparison to the protect yourself condition. Taken together, these results suggest that public health officials should use narrative-based visual communication messages that emphasize communal benefits of vaccinations.

Artificial Intelligence and Medical Humanities

The use of artificial intelligence in healthcare has led to debates about the role of human clinicians in the increasingly technological contexts of medicine. Some researchers have argued that AI will augment the capacities of physicians and increase their availability to provide empathy and other uniquely human forms of care to their patients. The human vulnerabilities experienced in the healthcare context raise the stakes of new technologies such as AI, and the human dimensions of AI in healthcare have particular significance for research in the humanities. This article explains four key areas of concern relating to AI and the role that medical/health humanities research can play in addressing them: definition and regulation of "medical" versus "health" data and apps; social determinants of health; narrative medicine; and technological mediation of care. Issues include data privacy and trust, flawed datasets and algorithmic bias, racial discrimination, and the rhetoric of humanism and disability. Through a discussion of potential humanities contributions to these emerging intersections with AI, this article will suggest future scholarly directions for the field.

Lessons Learned From Beta-Testing a Facebook Group Prototype to Promote Treatment Use in the "Connecting Alaska Native People to Quit Smoking" (CAN Quit) Study

Social media provides an effective tool to reach, engage, and connect smokers in cessation efforts. Our team developed a Facebook group, CAN Quit (Connecting Alaska Native People to Quit smoking), to promote use of evidence-based smoking cessation resources for Alaska Native people living in Alaska, which are underused despite their effectiveness. Often separated by geography and climate, Alaska Native people prefer group-based approaches for tobacco cessation that support their culture and values. Such preferences make Alaska Native people candidates for social media-based interventions that promote connection. This viewpoint discusses the steps involved and lessons learned in building and beta-testing our Facebook group prototype, which will then be evaluated in a pilot randomized controlled trial. We describe the process of training moderators to facilitate group engagement and foster community, and we describe how we developed and tested our intervention prototype and Facebook group. All parts of the prototype were designed to facilitate use of evidence-based cessation treatments. We include recommendations for best practices with the hope that lessons learned from the CAN Quit prototype could provide a model for others to create similar platforms that benefit Alaska Native and American Indian people in the context of smoking cessation.

Digital Transformation in Medical Affairs Sparked by the Pandemic: Insights and Learnings from COVID-19 Era and Beyond

A number of developments, including increasing regulatory and compliance scrutiny, increased transparency expectations, an increasingly vocal patient, patient centricity and greater requirements for real-world evidence, have driven the growth and importance of medical affairs as a trusted, science-driven partner over the past decade. The healthcare environment is shifting towards a digital, data-driven and payor-focused model. Likewise, medical affairs as a function within the pharmaceutical industry has become more "patient-centric" with strategic engagements embracing payers and patients apart from clinicians. The pandemic has impacted the healthcare industry as well as the function of medical affairs in numerous ways and has brought new challenges and demands to tackle. There is indeed a silver lining due to intense digital transformation within this crisis. The emerging digital innovation and new technologies in healthcare, medical education and virtual communications are likely to stay and advance further. In this review, we discuss how the digital transformation sparked by the pandemic has impacted the medical affairs function in pharmaceuticals and provide further insights and learnings from the COVID-19 era and beyond. Based on the learning and insights, digital innovation in three key strategic imperatives of medical affairs-HCP engagement, external partnerships and data generation will enable medical affairs to become future-fit as a strategic leadership function.

A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging

BACKGROUND

Computed tomography (CT) reports record a large volume of valuable information about patients' conditions and the interpretations of radiology images from radiologists, which can be used for clinical decision-making and further academic study. However, the free-text nature of clinical reports is a critical barrier to use this data more effectively. In this study, we investigate a novel deep learning method to extract entities from Chinese CT reports for lung cancer screening and TNM staging.

METHODS

The proposed approach presents a new named entity recognition algorithm, namely the BERT-based-BiLSTM-Transformer network (BERT-BTN) with pre-training, to extract clinical entities for lung cancer screening and staging. Specifically, instead of traditional word embedding methods, BERT is applied to learn the deep semantic representations of characters. Following the long short-term memory layer, a Transformer layer is added to capture the global dependencies between characters. Besides, pre-training technique is employed to alleviate the problem of insufficient labeled data.

RESULTS

We verify the effectiveness of the proposed approach on a clinical dataset containing 359 CT reports collected from the Department of Thoracic Surgery II of Peking University Cancer Hospital. The experimental results show that the proposed approach achieves an 85.96% macro-F1 score under exact match scheme, which improves the performance by 1.38%, 1.84%, 3.81%,4.29%,5.12%,5.29% and 8.84% compared to BERT-BTN, BERT-LSTM, BERT-fine-tune, BERT-Transformer, FastText-BTN, FastText-BiLSTM and FastText-Transformer, respectively.

CONCLUSIONS

In this study, we developed a novel deep learning method, i.e., BERT-BTN with pre-training, to extract the clinical entities from Chinese CT reports. The experimental results indicate that the proposed approach can efficiently recognize various clinical entities about lung cancer screening and staging, which shows the potential for further clinical decision-making and academic research.

Use of Telemedicine for Emergency Triage in an Independent Senior Living Community: Mixed Methods Study

Background

Older, chronically ill individuals in independent living communities are frequently transferred to the emergency department (ED) for acute issues that could be managed in lower-acuity settings. Triage via telemedicine could deter unnecessary ED transfers.

Objective

We examined the effectiveness of a telemedicine intervention for emergency triage in an independent living community.

Methods

In the intervention community, a 950-resident independent senior living community, when a resident called for help, emergency medical technician–trained staff could engage an emergency medicine physician via telemedicine to assist with management and triage. We compared trends in the proportion of calls resulting in transport to the ED (ie, primary outcome) in the intervention community to two control communities. Secondary outcomes were telemedicine use and posttransport disposition. Semistructured focus groups of residents and staff were conducted to examine attitudes toward the intervention. Qualitative data analysis used thematic analysis.

Results

Although the service was offered at no cost to residents, use was low and we found no evidence of fewer ED transfers. The key barrier to program use was resistance from frontline staff members, who did not view telemedicine triage as a valuable tool for emergency response, instead perceiving it as time-consuming and as undermining their independent judgment.

Conclusions

Engagement of, and acceptance by, frontline providers is a key consideration in using telemedicine triage to reduce unnecessary ED transfers.

The Role of Care Navigators Working with People with Dementia and Their Caregivers

BACKGROUND

Care navigation is an approach to personalized care management and care coordination that can help overcome barriers to care. Care navigation has not been extensively studied in dementia, where health care workforce innovations are needed as a result of increasing disease prevalence and resulting costs to the health care system.

OBJECTIVE

To identify facilitators and barriers to care navigation in dementia and to assess dementia caregiver satisfaction with care navigation.

METHODS

Methods include qualitative research (interviews, focus groups, observations) with "Care Team Navigators" (CTNs) who were part of a dementia care navigation program, the Care Ecosystem, and a quantitative survey with caregivers about their experiences with CTNs. Transcripts were analyzed to identify themes within the data.

RESULTS

CTNs identified the following facilitators to care navigation in dementia: working closely with caregivers; providing emotional support; tailoring education and resources; and coordinating with a clinical team around issues ranging from clinical questions to financial and legal decision-making. The barriers CTNS identified included burn-out, the progressive nature of the disease; coordinating with primary care providers; and identifying resources for dyads who are low-income, do not speak English, or live in rural areas. Caregivers across both sites highly rated CTNs, though satisfaction was higher among those in Nebraska and Iowa.

CONCLUSIONS

Innovative approaches to care delivery in dementia are crucial. Care navigation offers a feasible model to train unlicensed people to deliver care as a way to deliver larger-scale support for the growing population of adults living with dementia and their caregivers.

A Rigorous Approach to Large-Scale Elicitation and Analysis of Patient Narratives

Patient narratives have emerged as promising vehicles for making health care more responsive by helping clinicians to better understand their patients' expectations, perceptions, or concerns and encouraging consumers to engage with information about quality. A growing number of websites incorporate patients' comments. But existing comments have fragmentary content, fail to represent less vocal patients, and can be manipulated to "manage" providers' reputations. In this article, we offer the first empirical test of the proposition that patient narratives can be elicited rigorously and reliably using a five-question protocol that can be incorporated into large-scale patient experience surveys. We tested whether elicited narratives about outpatient care are complete (report all facets of patient experience), balanced (convey an accurate mix of positive and negative events), meaningful (have a coherent storyline), and representative (draw fulsome narratives from all relevant subsets of patients). The tested protocol is strong on balance and representativeness, more mixed on completeness and meaningfulness.

Social Media Intervention to Promote Smoking Treatment Utilization and Cessation Among Alaska Native People Who Smoke: Protocol for the Connecting Alaska Native People to Quit Smoking (CAN Quit) Pilot Study

BACKGROUND

Despite the high prevalence of tobacco use among Alaska Native (AN) people, tobacco cessation interventions developed specifically for this group are lacking. Social media hold promise as a scalable intervention strategy to promote smoking treatment utilization and cessation, given the barriers to treatment delivery (ie, geographic remoteness, limited funding, climate, and travel costs) in the state of Alaska (AK). Building on a longstanding tobacco control research partnership with the AK Tribal Health System, in this study, we are developing and pilot-testing a culturally relevant, Facebook (FB)-delivered intervention that incorporates a digital storytelling approach adapted from the effective Centers for Disease Control Tips from Former Smokers campaign.

OBJECTIVE

This study aims to promote evidence-based smoking treatment (eg, state quitline and Tribal cessation programs) uptake and cessation among AN people.

METHODS

This study fulfills the objectives for stage 1 of the National Institute on Drug Abuse behavioral integrative treatment development program. In stage 1a, we will use a mixed method approach to develop the FB intervention. Cultural variance and surface/deep structure frameworks will address the influence of culture in designing health messages. These developmental activities will include qualitative and quantitative assessments, followed by beta testing of proposed intervention content. In stage 1b, we will conduct a randomized pilot trial enrolling 60 AN adults who smoke. We will evaluate the feasibility, uptake, consumer response, and potential efficacy of the FB intervention compared with a control condition (quitline/treatment referral only). Primary outcome measures include feasibility and biochemically verified smoking abstinence at 1-, 3-, and 6-month follow-ups. Secondary outcomes will include self-reported smoking cessation treatment utilization and abstinence from tobacco/nicotine products. We will also explore interdependence (relationship orientation and collaborative efforts in lifestyle change) as a culturally relevant mediator of intervention efficacy.

RESULTS

The study enrolled 40 participants for phase 1, with data saturation being achieved at 30 AN people who smoke and 10 stakeholders. For phase 2, we enrolled 40 participants. Qualitative assessment of proposed intervention content was completed with 30 AN smokers and 10 stakeholders. We are currently analyzing data from the quantitative assessment with 40 participants in preparation for the beta testing, followed by the randomized pilot trial.

CONCLUSIONS

The project is innovative for its use of social media communication tools that are culturally relevant in a behavioral intervention designed to reach AN people statewide to promote smoking treatment utilization and cessation. The study will further advance tobacco cessation research in an underserved disparity group. If the pilot intervention is successful, we will have a blueprint to conduct a large randomized controlled efficacy trial. Our approach could be considered for other remote AN communities to enhance the reach of evidence-based tobacco cessation treatments.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/15155.

Missing Ingredients in Shared Decision-Making?

Shared decision-making (SDM) is a collaborative approach to making decisions in health care, and is a cornerstone of person-centered care. While providers are increasingly expected to utilize SDM in routine practice, widespread and sustainable implementation has proven difficult, especially in the care of individuals diagnosed with serious mental illnesses, and physicians and patients continue to identify barriers to effective collaboration. To date, SDM research has largely focused on the provision of high-quality clinical information from doctors to patients to the neglect of what may be the most important, and transformative, aspect of SDM-the relationship itself. In this forum, the lack of attention to the relationship in SDM research and practice will be explored, along with the relational qualities that need to be in place to implement SDM in the care of persons with serious mental illness based on the findings from a mixed-methods, participatory research project.

Suffering and Healing in the Context of LVAD Treatment

Background: Illness narratives with meaningful, competent and targeted content have been shown to provide useful guides for patient decision-making and have positive influences on health behaviors. The use of narratives in decision aids can confer a sense of structure, plot and context to illness experiences and help patients make treatment decisions that feel sensible, informed, and transparent. Aim: This paper presents narratives of suffering and healing from patients and their caregivers with advanced heart failure who engaged in decision-making regarding Left Ventricular Device Assist (LVAD) treatment. Methods: Narratives were collected from in-depth interviews with patients who accepted (n = 15) versus declined (n = 15) LVAD implant, LVAD candidates who had received education about LVAD and were in the process of making a decision (n = 15), and caregivers (family or significant others) of LVAD patients (n = 15). Results: Participants shared “restitution” narratives that most commonly conveyed a shift from pre-implant physical suffering and “daily hell,” fatigue so intense it “hurts,” along with emotional suffering from inability to engage with the world, to post-implant improvements in mobility and quality of life, including positivity and family support, adaptation on a “journey,” “getting one’s life back” and becoming “normal” again. Conclusion: For LVAD patients, other patients’ illness narratives can help to give meaning to their own illness and treatment experiences and to more accurately forecast treatment impacts on lifestyle and identity. For clinicians, patient narratives can enhance patient–practitioner communication and understanding by highlighting perspectives and values that structure patients’ clinical experiences.

What Words Convey: The Potential for Patient Narratives to Inform Quality Improvement

Policy Points Narratives about patients' experiences with outpatient care are essential for quality improvement because they convey ample actionable information that both elaborates on existing domains within patient experience surveys and describes multiple additional domains that are important to patients. The content of narrative feedback from patients can potentially be translated to improved quality in multiple ways: clinicians can learn from their own patients, groups of clinicians can learn from the experience of their peers' patients, and health system administrators can identify and respond to patterns in patients' accounts that reflect systemic challenges to quality. Consistent investment by payers and providers is required to ensure that patient narratives are rigorously collected, analyzed fully, and effectively used for quality improvement.

CONTEXT

For the past 25 years, health care providers and health system administrators have sought to improve care by surveying patients about their experiences. More recently, policymakers have acted to promote this learning by deploying financial incentives tied to survey scores. This article explores the potential of systematically elicited narratives about experiences with outpatient care to enrich quality improvement.

METHODS

Narratives were collected from 348 patients recruited from a nationally representative Internet panel. Drawing from the literature on health services innovation, we developed a two-part coding schema that categorized narrative content in terms of (a) the aspects of care being described, and (b) the actionability of this information for clinicians, quality improvement staff, and health system administrators. Narratives were coded using this schema, with high levels of reliability among the coders.

FINDINGS

The scope of outpatient narratives divides evenly among aspects of care currently measured by patient experience surveys (35% of content), aspects related to measured domains but not captured by existing survey questions (31%), and aspects of care that are omitted from surveys entirely (34%). Overall, the narrative data focused heavily on relational aspects of care (43%), elaborating on this aspect of experience well beyond what is captured with communication-related questions on existing surveys. Three-quarters of elicited narratives had some actionable content, and almost a third contained three or more separate actionable elements.

CONCLUSIONS

In a health policy environment that incentivizes attention to patient experience, rigorously elicited narratives hold substantial promise for improving quality in general and patients' experiences with care in particular. They do so in two ways: by making concrete what went wrong or right in domains covered by existing surveys, and by expanding our view of what aspects of care matter to patients as articulated in their own words and thus how care can be made more patient-centered. Most narratives convey experiences that are potentially actionable by those committed to improving health care quality in outpatient settings.

Testing a Personal Narrative for Persuading People to Value and Use Comparative Physician Quality of Care Information: An Experimental Study

Objective: This study tests whether a personal narrative can persuade people to value comparative data on physician quality. Method: We conducted an online experiment with 850 adults. One group viewed a cartoon narrative on physician quality variation, another saw text on physician quality variation, and there was a control group. Study participants hypothetically selected a physician from a display of four physicians. The top-quality physician was furthest away and most expensive. We conducted multivariate models examining the relationship between experimental group and choice of the top-quality physician. Results: There was no overall relationship between narrative or text information and choice of the highest quality physician. Among higher numerate participants, however, those who viewed the narrative had odds 2.7 times higher of selecting the top-quality physician compared with the control group. Discussion: Personal narratives can persuade higher numerate people to consider quality when selecting physicians.

Perception of risk and shared decision making process in multiple sclerosis

INTRODUCTION

Multiple sclerosis (MS) treatment has changed considerably in recent years thanks to the introduction of ever-more-powerful drugs. Unfortunately, the higher efficacies of these therapies are associated with increased risks of severe adverse events. In this scenario, neurologists and persons with MS (pwMSs) must now balance benefits and risks when making decisions regarding MS management. Areas covered: This review highlights the importance of the risk perception of pwMSs and their neurologists in the shared decision-making process in MS management, taking into account different ways improve the empowerment and engagement of pwMSs. Expert commentary: The shared decision-making process in MS is strongly influenced by an individual's risk perception, which is dynamic and influenced by the personal, emotional, social, and experiential factors of both the pwMSs and neurologists.