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Background: Individuals with a uterus experience menopause, the cessation of menses, on average at age 51 years in the United States. While menopause is a natural occurrence for most, over 85% of women experience multiple interfering symptoms. Menopausal women face health disparities, including a lack of access to high-quality healthcare and greater disparities are experienced by women who are black, indigenous, and people of color. Some women are turning away from hormone therapy, and some seek integrative health interventions. Objective: Some menopausal women who seek healthcare do not receive it as they lack access to medical and integrative healthcare providers. A potential solution to this problem is a medical group visit (MGV), during which a provider sees multiple patients at once. The aims of this study were to gather women's opinions about the menopause, provider access, and conventional and integrative health interventions for later use to develop a menopause MGV. Methods: We conducted a Community Engagement Session and a Return of Results (RoR) with midlife women to learn about their menopause experiences, barriers and facilitators to accessing health providers, and their interest in and suggestions for designing a future integrative MGV (IMGV). Thematic qualitative research methods were used to summarize session results. Results: Nine women participated in the Session and six attended the RoR. Participants were well-educated and diverse in race and ethnicity. Themes included: an interest in this topic; unfamiliar medical terms; relevant social factors; desired whole person care; interest in integrative health; barriers and facilitators to accessing healthcare. The group expressed interest in ongoing participation in the future process of adapting an IMGV, naming it MENOGAP. Conclusion: These findings highlight the importance of stakeholder engagement before designing and implementing MENOGAP and the great need among midlife women for education about the menopausal transition, integrative self-care, and healthcare.
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PURPOSE: Use of artificial intelligence (AI) in cancer care is increasing. What remains unclear is how best to design patient-facing systems that communicate AI output. With oncologist input, we designed an interface that presents patient-specific, machine learning-based 6-month survival prognosis information designed to aid oncology providers in preparing for and discussing prognosis with patients with advanced solid tumors and their caregivers. The primary purpose of this study was to assess patient and caregiver perceptions and identify enhancements of the interface for communicating 6-month survival and other prognosis information when making treatment decisions concerning anticancer and supportive therapy. METHODS: This qualitative study included interviews and focus groups conducted between November and December 2022. Purposive sampling was used to recruit former patients with cancer and/or former caregivers of patients with cancer who had participated in cancer treatment decisions from Utah or elsewhere in the United States. Categories and themes related to perceptions of the interface were identified. RESULTS: We received feedback from 20 participants during eight individual interviews and two focus groups, including four cancer survivors, 13 caregivers, and three representing both. Overall, most participants expressed positive perceptions about the tool and identified its value for supporting decision making, feeling less alone, and supporting communication among oncologists, patients, and their caregivers. Participants identified areas for improvement and implementation considerations, particularly that oncologists should share the tool and guide discussions about prognosis with patients who want to receive the information. CONCLUSION: This study revealed important patient and caregiver perceptions of and enhancements for the proposed interface. Originally designed with input from oncology providers, patient and caregiver participants identified additional interface design recommendations and implementation considerations to support communication about prognosis.
Asunto(s)
Inteligencia Artificial , Cuidadores , Neoplasias , Humanos , Cuidadores/psicología , Neoplasias/psicología , Neoplasias/terapia , Pronóstico , Femenino , Masculino , Persona de Mediana Edad , Anciano , Grupos Focales , Adulto , Investigación Cualitativa , Comunicación , Percepción , Interfaz Usuario-ComputadorRESUMEN
Feasibility and Usefulness of the Going Home Toolkit, an mHealth App, during Hospital Discharge: Patient and Clinician Perspectives. Objective Communication gaps during discharge planning contribute to post-discharge outcomes. mHealth Apps may allow health systems to provide resources to fill patients' needs. The study's purpose was to elicit feedback regarding The Going Home Toolkit (GHT), an App that aims to facilitate patient communication about discharge needs. Participants Twenty patients hospitalized within the past year, and seven case managers involved in discharge processes from an academic health sciences center. Methods Using tablets installed with the GHT prototype, remote engagement studio interviews were used to observe GHT use and perceptions about usefulness and feasibility. Results Patients successfully used the GHT to identify resources that they may not have known otherwise. Clinicians reported the GHT would support patient engagement during discharge. However, patients liked being able to search for resources, while clinicians focused on offering a list of information. This can be described as a pull vs. push approach to accessing resources. Participants recognized the GHT's unique focus on cognitive processes related to self-management vs. knowledge transfer. Conclusions The GHT represents a valuable tool for facilitating anticipatory planning and procurement of resources post-discharge. Future work should focus on refining the user interface and user experience of the app and creating seamless links to community resources.