From formative design to service-ready therapeutic: A pragmatic approach to designing digital mental health interventions across domains.

As digital mental health interventions (DMHIs) proliferate, there is a growing need to understand the complexities of moving these tools from concept and design to service-ready products. We highlight five case studies from a center that specializes in the design and evaluation of digital mental health interventions to illustrate pragmatic approaches to the development of digital mental health interventions, and to make transparent some of the key decision points researchers encounter along the design-to-product pipeline. Case studies cover different key points in the design process and focus on partnership building, understanding the problem or opportunity, prototyping the product or service, and testing the product or service. We illustrate lessons learned and offer a series of questions researchers can use to navigate key decision points in the digital mental health intervention (DMHI) development process.

A qualitative study of how team characteristics and leadership are associated with information sharing in multidisciplinary intensive care units.

BACKGROUND: Better information sharing in intensive care units has been associated with lower risk-adjusted mortality. This study explored how team characteristics and leadership are associated with information sharing in 4 intensive care units in a single large urban, academic medical center. METHODS: A qualitative study was conducted to understand how team characteristics and leadership are associated with information sharing. Qualitative data were conducted through ethnographic observations. One postdoctoral research fellow and one PhD qualitative researcher conducted nonparticipant observations of a Medical, Surgical, Neurological, and Cardiothoracic intensive care unit morning and afternoon rounds, as well as nurse and resident handoffs from May to September 2021. Field notes of observations were thematically analyzed using deductive reasoning anchored to the Edmondson Team Learning Model. This study included nurses, physicians (ie, intensivists, surgeons, fellows, and residents), medical students, pharmacists, respiratory therapists, dieticians, physical therapists, physician assistants, and nurse practitioners. RESULTS: We conducted 50 person-hours of observations involving 148 providers. Three themes emerged from the qualitative analysis: (1) team leaders used variable leadership techniques to involve team members in discussions for information sharing related to patient care, (2) predefined tasks for team members allowed them to prepare for effective information sharing during intensive care unit rounds, and (3) a psychologically safe environment allowed team members to participate in discussions for information sharing related to patient care. CONCLUSION: Inclusive team leadership is foundational in creating a psychologically safe environment for effective information sharing.

Implementation Fidelity of Chatbot Screening for Social Needs: Acceptability, Feasibility, Appropriateness.

OBJECTIVES: Patient and provider-facing screening tools for social determinants of health have been explored in a variety of contexts; however, effective screening and resource referral remain challenging, and less is known about how patients perceive chatbots as potential social needs screening tools. We investigated patient perceptions of a chatbot for social needs screening using three implementation outcome measures: acceptability, feasibility, and appropriateness. METHODS: We implemented a chatbot for social needs screening at one large public hospital emergency department (ED) and used concurrent triangulation to assess perceptions of the chatbot use for screening. A total of 350 ED visitors completed the social needs screening and rated the chatbot on implementation outcome measures, and 22 participants engaged in follow-up phone interviews. RESULTS: The screened participants ranged in age from 18 to 90 years old and were diverse in race/ethnicity, education, and insurance status. Participants (n = 350) rated the chatbot as an acceptable, feasible, and appropriate way of screening. Through interviews (n = 22), participants explained that the chatbot was a responsive, private, easy to use, efficient, and comfortable channel to report social needs in the ED, but wanted more information on data use and more support in accessing resources. CONCLUSION: In this study, we deployed a chatbot for social needs screening in a real-world context and found patients perceived the chatbot to be an acceptable, feasible, and appropriate modality for social needs screening. Findings suggest that chatbots are a promising modality for social needs screening and can successfully engage a large, diverse patient population in the ED. This is significant, as it suggests that chatbots could facilitate a screening process that ultimately connects patients to care for social needs, improving health and well-being for members of vulnerable patient populations.

Remote Cognitive Screening Of Healthy Older Adults for Primary Care With the MyCog Mobile App: Iterative Design and Usability Evaluation.

BACKGROUND: Annual cognitive screening in adults aged >65 years can improve early detection of cognitive impairment, yet less than half of all cases are identified in primary care. Time constraints in primary care settings present a major barrier to routine screening. A remote cognitive screener completed on a patient's own smartphone before a visit has the potential to save primary care clinics time, encourage broader screening practices, and increase early detection of cognitive decline. OBJECTIVE: We described the iterative design and proposed the implementation of a remote cognitive screening app, MyCog Mobile, to be completed on a patient's smartphone before an annual wellness visit. The research questions were as follows: What would motivate primary care clinicians and clinic administrators to implement a remote cognitive screening process? How might we design a remote cognitive screener to fit well with existing primary care workflows? What would motivate an older adult patient to complete a cognitive screener on a smartphone before a primary care visit? How might we optimize the user experience of completing a remote cognitive screener on a smartphone for older adults? METHODS: To address research questions 1 and 2, we conducted individual interviews with clinicians (n=5) and clinic administrators (n=3). We also collaborated with clinic administrators to create user journey maps of their existing and proposed MyCog Mobile workflows. To address research questions 3 and 4, we conducted individual semistructured interviews with cognitively healthy older adults (n=5) and solicited feedback from a community stakeholder panel (n=11). We also tested and refined high-fidelity prototypes of the MyCog Mobile app with the older adult interview participants, who rated the usability on the Simplified System Usability Scale and After-Scenario Questionnaire. RESULTS: Clinicians and clinic administrators were motivated to adopt a remote cognitive screening process if it saved time in their workflows. Findings from interviews and user journey mapping informed the proposed implementation and core functionality of MyCog Mobile. Older adult participants were motivated to complete cognitive screeners to ensure that they were cognitively healthy and saw additional benefits to remote screening, such as saving time during their visit and privacy. Older adults also identified potential challenges to remote smartphone screening, which informed the user experience design of the MyCog Mobile app. The average rating across prototype versions was 91 (SD 5.18) on the Simplified System Usability Scale and 6.13 (SD 8.40) on the After-Scenario Questionnaire, indicating above-average usability. CONCLUSIONS: Through an iterative, human-centered design process, we developed a viable remote cognitive screening app and proposed an implementation strategy for primary care settings that was optimized for multiple stakeholders. The next steps include validating the cognitive screener in clinical and healthy populations and piloting the finalized app in a community primary care clinic.

Creating Conditions for Patients' Values to Emerge in Clinical Conversations: Perspectives of Health Care Team Members.

Eliciting, understanding, and honoring patients' values- the things most important to them in daily life-is a cornerstone of patient-centered care. However, this rarely occurs explicitly as a routine part of clinical practice. This is particularly problematic for individuals with multiple chronic conditions (MCC) because they face difficult choices about how to balance competing demands for self-care in accordance with their values. In this study, we sought to inform the design of interventions to support conversations about patient values between patients with MCC and their health care providers. We conducted a field study that included observations of 21 clinic visits for patients who have MCC, and interviews with 16 care team members involved in those visits. This paper contributes a practice-based account of ways in which providers engage with patient values, and discusses how future work in interactive systems design might extend and enrich these engagements.

Understanding What Is Most Important to Individuals with Multiple Chronic Conditions: A Qualitative Study of Patients' Perspectives.

BACKGROUND: To improve care for individuals living with multiple chronic conditions, patients and providers must align care planning with what is most important to patients in their daily lives. We have a limited understanding of how to effectively encourage communication about patients' personal values during clinical care. OBJECTIVE: To identify what patients with multiple chronic conditions describe as most important to their well-being and health. DESIGN: We interviewed individuals with multiple chronic conditions in their homes and analyzed results qualitatively, guided by grounded theory. PARTICIPANTS: A total of 31 patients (mean age 68.7 years) participated in the study, 19 of which included the participation of family members. Participants were from Kaiser Permanente Washington, an integrated health care system in Washington state. APPROACH: Qualitative analysis of home visits, which consisted of semi-structured interviews aided by photo elicitation. KEY RESULTS: Analysis revealed six domains of what patients described as most important for their well-being and health: principles, relationships, emotions, activities, abilities, and possessions. Personal values were interrelated and rarely expressed as individual values in isolation. CONCLUSIONS: The domains describe the range and types of personal values multimorbid older adults deem important to well-being and health. Understanding patients' personal values across these domains may be useful for providers when developing, sharing, and following up on care plans.

Eliciting Values of Patients with Multiple Chronic Conditions: Evaluation of a Patient-centered Framework.

Patients with multiple chronic conditions often face competing demands for care, and they often do not agree with physicians on priorities for care. Patients ' values shape their healthcare priorities, but existing methods for eliciting values do not necessarily meet patients ' care planning needs. We developed a patient-centered values framework based on a field study with patients and caregivers. In this paper we report on a survey to evaluate how the framework generalizes beyond field study participants, and how well the framework supports values elicitation. We found that respondents frame values in a way that is consistent with the framework, and that domains of the framework can be used to elicit a breadth of potential values individuals with MCC express. These findings demonstrate how a patient-centered perspective on values can expand on the domains considered in values clarification methods andfacilitate patient-provider communication in establishing shared care priorities.

Using conceptual work products of health care to design health IT.

This paper introduces a new, model-based design method for interactive health information technology (IT) systems. This method extends workflow models with models of conceptual work products. When the health care work being modeled is substantially cognitive, tacit, and complex in nature, graphical workflow models can become too complex to be useful to designers. Conceptual models complement and simplify workflows by providing an explicit specification for the information product they must produce. We illustrate how conceptual work products can be modeled using standard software modeling language, which allows them to provide fundamental requirements for what the workflow must accomplish and the information that a new system should provide. Developers can use these specifications to envision how health IT could enable an effective cognitive strategy as a workflow with precise information requirements. We illustrate the new method with a study conducted in an outpatient multiple sclerosis (MS) clinic. This study shows specifically how the different phases of the method can be carried out, how the method allows for iteration across phases, and how the method generated a health IT design for case management of MS that is efficient and easy to use.

"It just seems outside my health": How Patients with Chronic Conditions Perceive Communication Boundaries with Providers.

To improve care for the growing number of older adults with multiple chronic conditions, physicians and other healthcare providers need to better understand what is most important in the lives of these patients. In a qualitative study of home visits with patients and family caregivers, we found that patients withhold information from providers when communicating about what they deem important to their health and well-being. We examine the various motivations and factors that explain communication boundaries between patients and their healthcare providers. Patients' disclosures reflected perceptions of what was pertinent to share, assumptions about the consequences of sharing, and the influence of interpersonal relationships with providers. Our findings revealed limitations of existing approaches to support patient-provider communication and identified challenges for the design of systems that honor patient needs and preferences.

A tale of two negatives: differential memory modulation by threat-related facial expressions.

Facial expressions serve as cues that encourage viewers to learn about their immediate environment. In studies assessing the influence of emotional cues on behavior, fearful and angry faces are often combined into one category, such as "threat-related," because they share similar emotional valence and arousal properties. However, these expressions convey different information to the viewer. Fearful faces indicate the increased probability of a threat, whereas angry expressions embody a certain and direct threat. This conceptualization predicts that a fearful face should facilitate processing of the environment to gather information to disambiguate the threat. Here, we tested whether fearful faces facilitated processing of neutral information presented in close temporal proximity to the faces. In Experiment 1, we demonstrated that, compared with neutral faces, fearful faces enhanced memory for neutral words presented in the experimental context, whereas angry faces did not. In Experiment 2, we directly compared the effects of fearful and angry faces on subsequent memory for emotional faces versus neutral words. We replicated the findings of Experiment 1 and extended them by showing that participants remembered more faces from the angry face condition relative to the fear condition, consistent with the notion that anger differs from fear in that it directs attention toward the angry individual. Because these effects cannot be attributed to differences in arousal or valence processing, we suggest they are best understood in terms of differences in the predictive information conveyed by fearful and angry facial expressions.