Opportunities and Design Considerations for Peer Support in a Hospital Setting

Development of a competency framework for the Assistant Wellbeing Practitioner (Renal) role

BACKGROUND

Many people with kidney disease experience comorbid mental health difficulties that result in worse physical health outcomes alongside greater personal, treatment and societal costs.

PROBLEM

Workforce expansion to treat comorbid mental health difficulties has focussed on psychological practitioners. This fails to capitalise on benefits arising from embedding roles to address biopsychosocial outcomes directly within the renal specialty. A competency framework to inform development and training for such a role has not been developed.

METHODS

Five-phase process to develop a competency framework for an Assistant Wellbeing Practitioner (Renal) role. Following identification of competency frameworks for roles in psychological practice, health and social care, relevant competencies were synthesised to create a draft competency framework. This framework was revised through consultation events with professionals associated with the renal specialty and Kidney Patient Involvement Network with the framework informing a competency map.

RESULTS

The competency map comprised three categories-Knowledge, Values and Principles, Core Skills and Meta-Competencies with specific competencies for an assistant practitioner role to work within the renal specialty identified. Core knowledge and skills included awareness of kidney treatments and common psychosocial difficulties, collaborative care and supporting evidence-based prevention approaches.

CONCLUSIONS

Competencies associated with the Assistant Wellbeing Practitioner (Renal) role have the potential to promote mental wellbeing, better physical health and generate social and economic benefits. The competency map can inform training and role evaluation, although addressing implementation issues associated with commissioning physical and mental healthcare is required.

An Abundance Mindset Approach to Support Nurse Well-Being: The Feasibility of Peer Support

This article describes the process of building a system-wide, interprofessional peer support program at the onset of the COVID-19 pandemic. With limited resources, but with a dedicated team driven by the desire to provide psychological first aid, nurse leaders from a large academic medical center developed a peer support program, inclusive of 16 hours of peer supporter training and quarterly continuing education. To date, this program has 130 trained peer supporters who offer peer support, active listening, and close partnerships with the health care system and university employee assistance programs. This case study shares lessons learned and considerations on how leaders can initiate their own local peer support programs.

Understanding Contexts and Challenges of Information Management for Epilepsy Care

Epilepsy is a common chronic neurological disease. People with epilepsy (PWE) and their caregivers face several challenges related to their epilepsy management, including quality of care, care coordination, side effects, and stigma management. The sociotechnical issues of the information management contexts and challenges for epilepsy care may be mitigated through effective information management. We conducted 4 focus groups with 5 PWE and 7 caregivers to explore how they manage epilepsy-related information and the challenges they encountered. Primary issues include challenges of finding the right information, complexities of tracking and monitoring data, and limited information sharing. We provide a framework that encompasses three attributes - individual epilepsy symptoms and health conditions, information complexity, and circumstantial constraints. We suggest future design implications to mitigate these challenges and improve epilepsy information management and care coordination.

Use and impact of an online community for hospital patients

OBJECTIVE

Although patient-peer support technologies have demonstrated effectiveness in a variety of health contexts-including diabetes, weight loss, and cancer-less is known about how hospitalized patients can benefit from this support. We investigated the nature of peer support in the hospital and the impact this support had on patients' hospital stays.

MATERIALS AND METHODS

We created a technology, resembling an online health community, in which patients could exchange advice about their hospitalization. We deployed it at 1 pediatric hospital and 1 adult hospital. With 30 participants, we conducted bedside interviews, observed how they used the technology during their hospitalization, and completed follow-up phone interviews.

RESULTS

Participants shared advice about several topics, including adjusting to the hospital and building relationships with providers. Contrary to concerns that such a system would primarily serve as a place for patients to "complain," sentiment analysis showed that 23 of 36 (64%) of the shared advice reflected positive sentiment. Patients also reported positive impacts to their quality, safety, and hospital experience due to the inpatient peer support community.

DISCUSSION

Participants benefited from peer support that transcended diagnoses and individual health conditions. The shared experience of being in the hospital was sufficient to yield valuable and practical peer support. Participants who did not contribute their own advice still experienced benefits from reading their peers' advice.

CONCLUSIONS

Our study demonstrated the positive nature of peer advice exchanged, and the benefits of this advice on patients' hospital stays. Inpatient peer support technologies could be an additional resource for patients to engage in their care.

Informatics opportunities to involve patients in hospital safety: a conceptual model

Objective

Inpatients could play an important role in identifying, preventing, and reporting problems in the quality and safety of their care. To support them effectively in that role, informatics solutions must align with their experiences. Thus, we set out to understand how inpatients experience undesirable events (UEs) and to surface opportunities for those informatics solutions.

Materials and Methods

We conducted a survey with 242 patients and caregivers during their hospital stay, asking open-ended questions about their experiences with UEs. Based on our qualitative analysis, we developed a conceptual model representing their experiences and identified informatics opportunities to support patients.

Results

Our 4-stage conceptual model illustrates inpatient experiences, from when they first encounter UEs, when they could intervene, when harms emerge, what types of harms they experience, and what they do in response to harms.

Discussion

Existing informatics solutions address the first stage of inpatients’ experiences by increasing their awareness of potential UEs. However, future researchers can explore new opportunities to fill gaps in support that patients experience in subsequent stages, especially at critical decision points such as intervening in UEs and responding to harms that occur.

Conclusions

Our conceptual model reveals the complex inpatient experiences with UEs, and opportunities for new informatics solutions to support them at all stages of their experience. Investigating these new opportunities could promote inpatients’ participation and engagement in the quality and safety of their care, help healthcare systems learn from inpatients’ experience, and reduce these harmful events.

Citizen science to further precision medicine: from vision to implementation

The active involvement of citizen scientists in setting research agendas, partnering with academic investigators to conduct research, analyzing and disseminating results, and implementing learnings from research can improve both processes and outcomes. Adopting a citizen science approach to the practice of precision medicine in clinical care and research will require healthcare providers, researchers, and institutions to address a number of technical, organizational, and citizen scientist collaboration issues. Some changes can be made with relative ease, while others will necessitate cultural shifts, redistribution of power, recommitment to shared goals, and improved communication. This perspective, based on a workshop held at the 2018 AMIA Annual Symposium, identifies current barriers and needed changes to facilitate broad adoption of a citizen science-based approach in healthcare.

Exploring the Design of an Inpatient Peer Support Tool: Views of Adult Patients

Despite wide recognition of the value, expertise, and support that patient-peers provide in a variety of health contexts, mechanisms to design and enable peer support in the inpatient setting have not been sufficiently explored. To better understand the opportunities for an inpatient peer support tool, we surveyed 100 adult patients and caregivers, and conducted follow-up, semi-structured interviews with 15 adult patients. In this paper, we describe five key peer support needs that our adult patient participants expressed: (1) adjusting to the hospital environment, (2) understanding and normalizing medical care, (3) communicating with providers, (4) reporting and preventing medical errors, and (5) empowering peers. In addition, we identify privacy concerns, situational impairments, and communication mode as barriers to, and preferences for, interacting with peers. Based on our findings, we discuss intelligent peer matching and aggregating peer data as design recommendations for future inpatient peer support tools.

Must We Bust the Trust?: Understanding How the Clinician-Patient Relationship Influences Patient Engagement in Safety

Although patients desire safe care, they are reluctant to perform safety-related behaviors when they worry it could harm the relationships they have with clinicians. This influence of the clinician-patient relationship on patient engagement in safety is poorly understood, and most patient-facing safety interventions ignore its influence, focusing instead on helping patients access information about their care and report errors. We conducted semi-structured interviews with hospitalized patients to uncover their needs for patient-facing information systems that could help them prevent medical errors. We found that the clinician-patient relationship could either encourage or discourage patients and caregivers from engaging in patient safety actions. We describe our findings and discuss the implications for the design of patient-facing interventions to promote patient engagement in safety. Our findings shed light on how patient-facing safety interventions can be designed to effectively engage patients and caregivers.

Supporting Caregivers of Patients With Cancer: A Summary of Technology-Mediated Interventions and Future Directions

This paper aims to review literature published on the support of cancer caregivers with health technology. Eighteen articles were reviewed to better understand cancer caregiving and categorized into four different themes: (1) design guidelines, (2) information facilitation, (3) social support, and (4) multicomponent interventions. Analysis of the current articles revealed that there are substantial gaps in knowledge regarding a range of health technologies that facilitate family caregiver support and its distribution to health institutions. Further research is needed in this area, as family caregivers are primary providers of essential elements of care to patients. Future studies should unpack existing barriers that interfere with the development of health technology interventions in cancer care.

Supporting Collaborative Health Tracking in the Hospital: Patients' Perspectives

The hospital setting creates a high-stakes environment where patients' lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients' engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients' tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients' needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety.