Browsing by Author "Werner, Nicole E."

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    Correction: Investigating the Best Practices for Engagement in Remote Participatory Design: Mixed Methods Analysis of 4 Remote Studies With Family Caregivers
    (JMIR, 2024-12-31) Jolliff, Anna; Holden, Richard J.; Valdez, Rupa; Coller, Ryan J.; Patel, Himalaya; Zuraw, Matthew; Linden, Anna; Ganci, Aaron; Elliott, Christian; Werner, Nicole E.; Herron School of Art and Design
    [This corrects the article DOI: 10.2196/60353.].
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    Helping the Helpers - A research protocol for user-centered technology to aid caregiver management of medications for people with Alzheimer's disease and related dementias
    (Elsevier, 2022) Werner, Nicole E.; Campbell, Noll L.; Boustani, Malaz; Ganci, Aaron; Holden, Richard J.; Medicine, School of Medicine
    Background and objective: Systematically supporting caregiver-assisted medication management through IT interventions is a critical area of need toward improving outcomes for people living with ADRD and their caregivers, but a significant gap exists in the evidence base from which IT interventions to support caregivers' medication tasks can be built. User-centered design can address the user needs evidence gap and provide a scientific mechanism for developing IT interventions that meet caregivers' needs. The present study employs the three phases of user-centered design to address the first two stages of the NIH Stage Model for Behavioral Intervention Development. Methods: We will conduct a three-phase study employing user-centered design techniques across three aims: Aim 1) assess the needs of ADRD caregivers who manage medications for people with ADRD (Stage 0); Aim 2) co-design a prototype IT intervention to support caregiver-assisted medication management collaboratively with ADRD caregivers (Stage IA); and Aim 3) feasibility test the prototype IT intervention with ADRD caregivers (Stage IB). Discussion: Our user-centered design protocol provides a template for integrating the three phases of user-centered design to address the first two stages of the NIH Stage Model that can be used broadly by researchers who are developing IT interventions for ADRD caregivers.
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    Human factors/ergonomics work system analysis of patient work: state of the science and future directions
    (Oxford University Press, 2021-01-12) Werner, Nicole E.; Ponnala, Siddarth; Doutcheva, Nadia; Holden, Richard J.; Health Policy and Management, School of Public Health
    Purpose: To demonstrate the use and value of the Human Factors/Ergonomics-based Systems Engineering Initiative for Patient Safety (SEIPS) family of work system models for studying and improving patient work. Data sources: We conducted a review of the published empirical literature applying the SEIPS family of work system models for patient work. Study selection: Included studies had to apply one of the SEIPS family of work system models to study patient work; be published in a peer-reviewed journal in English and include analysis of data. We identified 16 articles that met our inclusion criteria. Data extraction: For each study, we extracted settings and situations in which models were applied; research design; study methods; model(s) used; type and number of study participants; study objective(s); whether the study included an intervention; specific aspects of the model used; knowledge generated about patient work and benefits of using the models. Results of data synthesis: Our analysis revealed that a majority of studies were conducted in the United States, used qualitative or mixed methods and employed a variety of data collection techniques to study adult patient populations with chronic illness and their informal caregivers and healthcare providers performing patient work in the home and clinical setting. The studies resulted in a variety of useful products, demonstrating several benefits of using the models. Conclusion: Our review has demonstrated the value of using the SEIPS family of work systems models to study and improve patient and family contributions to health-related work.
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    Investigating the Best Practices for Engagement in Remote Participatory Design: Mixed Methods Analysis of 4 Remote Studies With Family Caregivers
    (JMIR, 2024-12-03) Jolliff, Anna; Holden, Richard J.; Valdez, Rupa; Coller, Ryan J.; Patel, Himalaya; Zuraw, Matthew; Linden, Anna; Ganci, Aaron; Elliott, Christian; Werner, Nicole E.; Herron School of Art and Design
    Background: Digital health interventions are a promising method for delivering timely support to underresourced family caregivers. The uptake of digital health interventions among caregivers may be improved by engaging caregivers in participatory design (PD). In recent years, there has been a shift toward conducting PD remotely, which may enable participation by previously hard-to-reach groups. However, little is known regarding how best to facilitate engagement in remote PD among family caregivers. Objective: This study aims to (1) understand the context, quality, and outcomes of family caregivers' engagement experiences in remote PD and (2) learn which aspects of the observed PD approach facilitated engagement or need to be improved. Methods: We analyzed qualitative and quantitative data from evaluation and reflection surveys and interviews completed by research and community partners (family caregivers) across 4 remote PD studies. Studies focused on building digital health interventions for family caregivers. For each study, community partners met with research partners for 4 to 5 design sessions across 6 months. After each session, partners completed an evaluation survey. In 1 of the 4 studies, research and community partners completed a reflection survey and interview. Descriptive statistics were used to summarize quantitative evaluation and reflection survey data, while reflexive thematic analysis was used to understand qualitative data. Results: In 62.9% (83/132) of evaluations across projects 1-3, participants described the session as "very effective." In 74% (28/38) of evaluations for project 4, participants described feeling "extremely satisfied" with the session. Qualitative data relating to the engagement context identified that the identities of partners, the technological context of remote PD, and partners' understanding of the project and their role all influenced engagement. Within the domain of engagement quality, relationship-building and co-learning; satisfaction with prework, design activities, time allotted, and the final prototype; and inclusivity and the distribution of influence contributed to partners' experience of engagement. Outcomes of engagement included partners feeling an ongoing interest in the project after its conclusion, gratitude for participation, and a sense of meaning and self-esteem. Conclusions: These results indicate high satisfaction with remote PD processes and few losses specific to remote PD. The results also demonstrate specific ways in which processes can be changed to improve partner engagement and outcomes. Community partners should be involved from study inception in defining the problem to be solved, the approach used, and their roles within the project. Throughout the design process, online tools may be used to check partners' satisfaction with design processes and perceptions of inclusivity and power-sharing. Emphasis should be placed on increasing the psychosocial benefits of engagement (eg, sense of community and purpose) and increasing opportunities to participate in disseminating findings and in future studies.
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    Performance-Shaping Factors Affecting Older Adults' Hospital-to-Home Transition Success: A Systems Approach
    (Oxford Academic, 2019-04) Werner, Nicole E.; Tong, Michelle; Borkenhagen, Amy; Holden, Richard J.; Health Policy and Management, School of Public Health
    Background and Objectives Facilitating older adults’ successful hospital-to-home transitions remains a persistent challenge. To address this challenge, we applied a systems lens to identify and understand the performance-shaping factors (PSFs) related older adults’ hospital-to-home transition success. Research Design and Methods This study was a secondary analysis of semi-structured interviews from older adults (N = 31) recently discharged from a hospital and their informal caregivers (N = 13). We used a Human Factors Engineering approach to guide qualitative thematic analysis to develop four themes concerning the system conditions shaping hospital-to-home transition success. Results The four themes concerning PSFs were: (a) the hospital-to-home transition was a complex multiphase process—the process unfolded over several months and required substantial, persistent investment/effort; (b) there were unmet needs for specialized tools—information and resources provided at hospital discharge were not aligned with requirements for transition success; (c) alignment of self-care routines with transition needs—pre-hospitalization routines could be supportive/disruptive and could deteriorate/be re-established; and (d) changing levels of work demand and capacity during the transition—demand often exceeded capacity leading to work overload. Discussion and Implications Our findings highlight that the transition is not an episodic event, but rather a longitudinal process extending beyond the days just after hospital discharge. Transition interventions to improve older adults’ hospital-to-home transitions need to account for this complex multiphase process. Future interventions must be developed to support older adults and informal caregivers in navigating the establishment and re-establishment of routines and managing work demands and capacity during the transition process.
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    Quality of Mobile Apps for Care Partners of People With Alzheimer Disease and Related Dementias: Mobile App Rating Scale Evaluation
    (JMIR Publications, 2022-03) Werner, Nicole E.; Brown, Janetta C.; Loganathar, Priya; Holden, Richard J.; Medicine, School of Medicine
    Background: Over 11 million care partners in the United States who provide care to people living with Alzheimer disease and related dementias (ADRD) cite persistent and pervasive unmet needs related to their caregiving role. The proliferation of mobile apps for care partners has the potential to meet care partners’ needs, but the quality of apps is unknown. Objective: This study aims to evaluate the quality of publicly available apps for care partners of people living with ADRD and identify design features of low- and high-quality apps to guide future research and user-centered app development. Methods: We searched the US Apple App and Google Play stores with the criteria that included apps needed to be available in the US Google Play or Apple App stores, accessible to users out of the box, and primarily intended for use by an informal (family or friend) care partner of a person living with ADRD. We classified and tabulated app functionalities. The included apps were then evaluated using the Mobile App Rating Scale (MARS) using 23 items across 5 dimensions: engagement, functionality, aesthetics, information, and subjective quality. We computed descriptive statistics for each rating. To identify recommendations for future research and app development, we categorized rater comments on score-driving factors for each MARS rating item and what the app could have done to improve the item score. Results: We evaluated 17 apps. We found that, on average, apps are of minimally acceptable quality. Functionalities supported by apps included education (12/17, 71%), interactive training (3/17, 18%), documentation (3/17, 18%), tracking symptoms (2/17, 12%), care partner community (3/17, 18%), interaction with clinical experts (1/17, 6%), care coordination (2/17, 12%), and activities for the person living with ADRD (2/17, 12%). Of the 17 apps, 8 (47%) had only 1 feature, 6 (35%) had 2 features, and 3 (18%) had 3 features. The MARS quality mean score across apps was 3.08 (SD 0.83) on the 5-point rating scale (1=inadequate to 5=excellent), with apps scoring highest on average on functionality (mean 3.37, SD 0.99) and aesthetics (mean 3.24, SD 0.92) and lowest on average on information (mean 2.95, SD 0.95) and engagement (mean 2.76, SD 0.89). The MARS subjective quality mean score across apps was 2.26 (SD 1.02). Conclusions: We identified apps whose mean scores were more than 1 point below minimally acceptable quality, whereas some were more than 1 point above. Many apps had broken features and were rated as below acceptable for engagement and information. Minimally acceptable quality is likely to be insufficient to meet care partner needs. Future research should establish minimum quality standards across dimensions for care partner mobile apps. Design features of high-quality apps identified in this study can provide the foundation for benchmarking these standards.
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    Quality of Mobile Apps for Care Partners of People With Alzheimer Disease and Related Dementias: Mobile App Rating Scale Evaluation
    (JMIR, 2022-03-29) Werner, Nicole E.; Brown, Janetta C.; Loganathar, Priya; Holden, Richard J.; Medicine, School of Medicine
    Background: Over 11 million care partners in the United States who provide care to people living with Alzheimer disease and related dementias (ADRD) cite persistent and pervasive unmet needs related to their caregiving role. The proliferation of mobile apps for care partners has the potential to meet care partners' needs, but the quality of apps is unknown. Objective: This study aims to evaluate the quality of publicly available apps for care partners of people living with ADRD and identify design features of low- and high-quality apps to guide future research and user-centered app development. Methods: We searched the US Apple App and Google Play stores with the criteria that included apps needed to be available in the US Google Play or Apple App stores, accessible to users out of the box, and primarily intended for use by an informal (family or friend) care partner of a person living with ADRD. We classified and tabulated app functionalities. The included apps were then evaluated using the Mobile App Rating Scale (MARS) using 23 items across 5 dimensions: engagement, functionality, aesthetics, information, and subjective quality. We computed descriptive statistics for each rating. To identify recommendations for future research and app development, we categorized rater comments on score-driving factors for each MARS rating item and what the app could have done to improve the item score. Results: We evaluated 17 apps. We found that, on average, apps are of minimally acceptable quality. Functionalities supported by apps included education (12/17, 71%), interactive training (3/17, 18%), documentation (3/17, 18%), tracking symptoms (2/17, 12%), care partner community (3/17, 18%), interaction with clinical experts (1/17, 6%), care coordination (2/17, 12%), and activities for the person living with ADRD (2/17, 12%). Of the 17 apps, 8 (47%) had only 1 feature, 6 (35%) had 2 features, and 3 (18%) had 3 features. The MARS quality mean score across apps was 3.08 (SD 0.83) on the 5-point rating scale (1=inadequate to 5=excellent), with apps scoring highest on average on functionality (mean 3.37, SD 0.99) and aesthetics (mean 3.24, SD 0.92) and lowest on average on information (mean 2.95, SD 0.95) and engagement (mean 2.76, SD 0.89). The MARS subjective quality mean score across apps was 2.26 (SD 1.02). Conclusions: We identified apps whose mean scores were more than 1 point below minimally acceptable quality, whereas some were more than 1 point above. Many apps had broken features and were rated as below acceptable for engagement and information. Minimally acceptable quality is likely to be insufficient to meet care partner needs. Future research should establish minimum quality standards across dimensions for care partner mobile apps. Design features of high-quality apps identified in this study can provide the foundation for benchmarking these standards.