Su salud a la mano (your health at hand): patient perceptions about a bilingual patient portal in the Los Angeles safety net.

ObjectivesDriven by beneficial patient-centered outcomes associated with patient portal use and the Affordable Care Act, portal implementation has expanded into safety nets-health systems that offer access to care to a large share of uninsured, Medicaid, and other vulnerable populations. However, little attention has been paid to the factors that affect portal accessibility by the vulnerable patients served by these health systems-including those who are limited English proficient (LEP).Materials and methodsThe Los Angeles County Department of Health Services (LAC DHS), the second-largest safety net system in the nation, launched its first patient portal, and one of the few bilingual English-Spanish interfaces in existence, in March of 2015. To explore portal awareness and perceptions, we conducted focus groups with LAC DHS patients, in English and Spanish (LEP). The Technology Acceptance Model was used to guide thematic analysis of focus group data.ResultsOf the 46 participants, 37 were patients and 9 were caretakers; 23 were English-speaking and 23 Spanish-speaking LEP. All patients had diabetes or hypertension. Over half had an annual household income <$10 000, yet 78% of English-speaking and 65% of Spanish-speaking LEP participants reported at-home Internet access. Participants' discussion centered around 3 major thematic narratives: (1) participants' awareness or attitudes about the LAC DHS portal; (2) role of culture, language, or community with regard to portal accessibility and utility; and (3) perceived needs for successful portal implementation.ConclusionsSafety net participants identified concrete benefits to the portal and emphasized the need for portal engagement that offered accessible education, support, and resources in clinical and community settings. The portal offers an additional opportunity to engage the patient and family with trusted and validated health information, and should be further developed in this capacity. This study provides a better understanding of preferred improvements of patient portal engagement that guide broader health technology efforts to address electronic health disparities

Factors Related to Implementation and Reach of a Pragmatic Multisite Trial: The My Own Health Report (MOHR) Study

BACKGROUND: Contextual factors relevant to translating healthcare improvement interventions to different settings are rarely collected systematically. This study articulates a prospective method for assessing and describing contextual factors related to implementation and patient reach of a pragmatic trial in primary care. METHODS: In a qualitative case-series, contextual factors were assessed from the My Own Health Report (MOHR) study, focused on systematic health risk assessments and goal setting for unhealthy behaviors and behavioral health in nine primary care practices. Practice staff interviews and observations, guided by a context template were conducted prospectively at three time points. Patient reach was calculated as percentage of patients completing MOHR of those who were offered MOHR and themes describing contextual factors were summarized through an iterative, data immersion process.These included practice members' motivations towards MOHR, practice staff capacity for implementation, practice information system capacity, external resources to support quality improvement, community linkages, and implementation strategy fit with patient populations. CONCLUSIONS: Systematically assessing contextual factors prospectively throughout implementation of quality improvement initiatives helps translation to other health care settings. Knowledge of contextual factors is essential for scaling up of effective interventions

Engaging stakeholders to inform national implementation of critical time intervention in a program serving homeless-experienced Veterans

The Veterans Affairs (VA) Grant and Per Diem Case Management “Aftercare” program provides 6 months of case management for homeless-experienced Veterans (HEVs) transitioning to permanent housing, with the aim of decreasing returns to homelessness. Implementing Critical Time Intervention (CTI)—an evidence-based case management practice—would standardize care across the 128 community-based agencies that provide Aftercare services. To prepare for national CTI implementation in Aftercare, guided by Replicating Effective Programs (REP), we conducted a four-site pilot in which we adapted a CTI implementation package (training, technical assistance, and external facilitation); characterized stakeholder perspectives regarding the acceptability and appropriateness of this package; and identified contextual factors that affected CTI implementation. We engaged a stakeholder workgroup to tailor existing CTI training and technical assistance materials for Aftercare. To provide tailored support for providers and leaders to adopt and incorporate evidence-based practices (EBPs) into routine care, we also developed external facilitation materials and processes. Over 9 months, we implemented this package at four sites. We conducted semi-structured interviews at pre-implementation, mid-implementation, and 6 months post-implementation, with HEVs (n = 37), case managers (n = 16), supervisors (n = 10), and VA leaders (n = 4); these data were integrated with templated reflection notes from the project facilitator. We used rapid qualitative analysis and targeted coding to assess the acceptability and appropriateness of CTI and our implementation package and identify factors influencing CTI implementation. Stakeholders generally found CTI acceptable and appropriate; there was consensus that components of CTI were useful and compatible for this setting. To adapt our implementation package for scale-up, this pilot highlighted the value of robust and tangible CTI training and technical assistance—grounded in real-world cases—that highlights the congruence of CTI with relevant performance metrics. Variations in agency-level contextual factors may necessitate more intense and tailored supports to implement and sustain complex EBPs like CTI. Processes used in this pilot are relevant for implementing other EBPs in organizations that serve vulnerable populations. EBP scale-up and sustainment can be enhanced by engaging stakeholders to tailor EBPs for specific contexts; pilot testing and refining implementation packages for scale-up; and using qualitative methods to characterize contextual factors that affect EBP implementation

Barriers to participation in web-based and in-person weight management interventions for serious mental illness.

ObjectiveThis study examines barriers to participation and retention in 2 modalities (web-based and in-person) of a weight-management intervention tailored for individuals with serious mental illness (SMI).MethodUsing a mixed-methods approach, we explored the barriers veterans with SMI face when participating in a web-based (WebMOVE) or in-person (MOVE-SMI) version of the same SMI-adapted MOVE weight-management program. Participants in the randomized controlled trial (n = 277) were recruited from specialty mental health clinics at a Veterans Affairs medical center. Barriers were analyzed across treatment condition and program attendance (engagement) at baseline and follow-up using a generalized lineal model. Post hoc analyses assessed whether changes in the trajectory of barriers over time were associated with engagement. A subsample of participants (n = 48) from the WebMOVE and MOVE-SMI treatment conditions completed a qualitative interview, and 2 coders used open coding to analyze the data.ResultsAlthough barriers specific to treatment modality existed, most barriers cut across intervention modality, including financial hardship, lack of reliable housing and transportation, comorbid physical and mental health issues, and competing demands on personal time. Results of post hoc analyses found the association between engagement and emotional and motivational factors to be statistically significant.ConclusionsThis study is the 1st to identify barriers in a web-based intervention for SMI. Similar barriers persisted across treatment modalities. Known barriers, particularly socioeconomic barriers, should be addressed to improve engagement and retention of individuals in weight-management interventions adapted for SMI, irrespective of modality. (PsycINFO Database Record (c) 2019 APA, all rights reserved)

Sustaining implementation facilitation: a model for facilitator resilience.

BackgroundImplementation facilitators enable healthcare staff to effectively implement change, yet little is known about their affective (e.g., emotional, mental, physical) experiences of facilitation. We propose an expansion to the Integrated Promoting Action on Research in Health Services (i-PARIHS) framework that introduces facilitation intensity and facilitator resilience to better assess facilitators' affective experiences.MethodsWe used an instrumental case study and facilitator data (logged reflections and debrief session notes) from the Coordination Toolkit and Coaching initiative to conceptualize facilitation intensity and facilitator resilience and to better understand the psychological impact of the facilitation process on facilitator effectiveness and implementation success.ResultsWe define facilitation intensity as both the quantitative and/or qualitative measure of the volume of tasks and activities needed to engage and motivate recipients in implementation, and the psychological impact on the facilitator of conducting facilitation tasks and activities. We define facilitator resilience as the ability to cope with and adapt to the complexities of facilitation in order to effectively engage and motivate staff, while nurturing and sustaining hope, self-efficacy, and adaptive coping behaviors in oneself.ConclusionsFacilitators' affective experience may help to identify potential relationships between the facilitation factors we propose (facilitation intensity and facilitator resilience). Future studies should test ways of reliably measuring facilitation intensity and facilitator resilience and specify their relationships in greater detail. By supporting facilitator resilience, healthcare delivery systems may help sustain the skilled facilitator workforce necessary for continued practice improvement.Trial registrationThe project was registered with ClinicalTrials.gov ( NCT03063294 ) on February 24, 2017

Passive Mobile Self-Tracking of Mental Health by Veterans with Serious Mental Illness: Study Protocol (Preprint)

BACKGROUND Serious mental illnesses (SMI) are common, disabling, and challenging to treat, requiring years of monitoring and treatment adjustments. Stress or reduced medication adherence can lead to rapid worsening of symptoms and behaviors. Illness exacerbations and relapses generally occur with little or no clinician awareness in real time, leaving limited opportunity to modify treatments. Previous research suggests that passive mobile sensing may be beneficial for individuals with SMI by helping them monitor mental health status, behaviors, and quickly detect worsening mental health for prompt assessment and intervention. However, there is too little research on its feasibility and acceptability in patients with SMI, and the extent to which passive data can predict changes in behaviors and symptoms. OBJECTIVE To study the feasibility, acceptability and safety of passive mobile sensing for tracking behaviors and symptoms of patients in treatment for SMI, as well as developing analytics that utilize passive data to predict changes in behaviors and symptoms. METHODS A mobile application (app) monitors and transmits passive mobile sensor and phone utilization data to track activity, sociability and sleep in patients with SMI. The study consists of a user-centered design phase and a mobile sensing phase. In the design phase, focus groups, interviews and in-lab usability testing inform further app development. In the mobile sensing phase, passive mobile sensing occurs with participants engaging in weekly assessments for up to nine months. Three and nine month interviews study the perceptions of passive mobile sensing and ease of app use. Clinician interviews before and after the mobile sensing phase study the usefulness and feasibility of app utilization in clinical care. Predictive analytic models are built, trained and selected, and make use of machine learning methods. Models use sensor and phone utilization data to predict behavioral changes and symptoms. RESULTS The study was funded in October 2020 and has received IRB approval. The user-centered design phase, consisting of focus groups, usability testing, and pre-intervention clinician interviews has been completed. Recruitment and enrollment for the mobile sensing phase are ongoing. CONCLUSIONS Findings may inform the development of passive sensing apps and self-tracking in patients with SMI, and integration into care to improve assessment, treatment, and patient outcomes. CLINICALTRIAL ClinicalTrials.gov NCT05023252; https://clinicaltrials.gov/ct2/show/NCT0502325

Passive Mobile Self-tracking of Mental Health by Veterans With Serious Mental Illness: Protocol for a User-Centered Design and Prospective Cohort Study.

BackgroundSerious mental illnesses (SMI) are common, disabling, and challenging to treat, requiring years of monitoring and treatment adjustments. Stress or reduced medication adherence can lead to rapid worsening of symptoms and behaviors. Illness exacerbations and relapses generally occur with little or no clinician awareness in real time, leaving limited opportunity to modify treatments. Previous research suggests that passive mobile sensing may be beneficial for individuals with SMI by helping them monitor mental health status and behaviors, and quickly detect worsening mental health for prompt assessment and intervention. However, there is too little research on its feasibility and acceptability and the extent to which passive data can predict changes in behaviors or symptoms.ObjectiveThe aim of this research is to study the feasibility, acceptability, and safety of passive mobile sensing for tracking behaviors and symptoms of patients in treatment for SMI, as well as developing analytics that use passive data to predict changes in behaviors and symptoms.MethodsA mobile app monitors and transmits passive mobile sensor and phone utilization data, which is used to track activity, sociability, and sleep in patients with SMI. The study consists of a user-centered design phase and a mobile sensing phase. In the design phase, focus groups, interviews, and usability testing inform further app development. In the mobile sensing phase, passive mobile sensing occurs with participants engaging in weekly assessments for 9 months. Three- and nine-month interviews study the perceptions of passive mobile sensing and ease of app use. Clinician interviews before and after the mobile sensing phase study the usefulness and feasibility of app utilization in clinical care. Predictive analytic models are built, trained, and selected, and make use of machine learning methods. Models use sensor and phone utilization data to predict behavioral changes and symptoms.ResultsThe study started in October 2020. It has received institutional review board approval. The user-centered design phase, consisting of focus groups, usability testing, and preintervention clinician interviews, was completed in June 2021. Recruitment and enrollment for the mobile sensing phase began in October 2021.ConclusionsFindings may inform the development of passive sensing apps and self-tracking in patients with SMI, and integration into care to improve assessment, treatment, and patient outcomes.Trial registrationClinicalTrials.gov NCT05023252; https://clinicaltrials.gov/ct2/show/NCT05023252.International registered report identifier (irrid)DERR1-10.2196/39010

Mobile Phone and Smartphone Use by People With Serious Mental Illness.

ObjectiveMobile technologies, such as smartphones, can improve health services by delivering assessments and interventions that reach people in their daily lives. There is, however, disagreement regarding whether people with serious mental illness make meaningful use of mobile technology and whether interventions that rely on mobile technology should be tailored for this population.MethodsAt two clinics, 249 people with serious mental illness were interviewed regarding mobile phone use, and their cognitive functioning was assessed.ResultsMobile phones were used by 86% of participants, including 60% who used a smartphone. Phones were used for messaging by 81%, Internet by 52%, e-mail by 46%, and applications by 45%. Individuals who were older, had a persistent psychotic disorder rather than bipolar disorder, received disability income, or had worse neurocognitive functioning were less likely to own a smartphone (χ2=52.7, p<0.001).ConclusionsMost patients with serious mental illness owned a mobile phone; a majority owned a smartphone. Developers should consider tailoring mobile interventions for psychosis and cognitive deficits