Provider perspectives on integrating sensor-captured patient-generated data in mental health care

Copyright is held by the owner/author(s). Publication rights licensed to ACM. The increasing ubiquity of health sensing technology holds promise to enable patients and health care providers to make more informed decisions based on continuously-captured data. The use of sensor-captured patient-generated data (sPGD) has been gaining greater prominence in the assessment of physical health, but we have little understanding of the role that sPGD can play in mental health. To better understand the use of sPGD in mental health, we interviewed care providers in an intensive treatment program (ITP) for veterans with post-traumatic stress disorder. In this program, patients were given Fitbits for their own voluntary use. Providers identified a number of potential benefits from patients’ Fitbit use, such as patient empowerment and opportunities to reinforce therapeutic progress through collaborative data review and interpretation. However, despite the promise of sensor data as offering an “objective” view into patients’ health behavior and symptoms, the relationships between sPGD and therapeutic progress are often ambiguous. Given substantial subjectivity involved in interpreting data from commercial wearables in the context of mental health treatment, providers emphasized potential risks to their patients and were uncertain how to adjust their practice to effectively guide collaborative use of the FitBit and its sPGD. We discuss the implications of these findings for designing systems to leverage sPGD in mental health care

Provider perspectives on integrating sensor-captured patient-generated data in mental health care

Copyright is held by the owner/author(s). Publication rights licensed to ACM. The increasing ubiquity of health sensing technology holds promise to enable patients and health care providers to make more informed decisions based on continuously-captured data. The use of sensor-captured patient-generated data (sPGD) has been gaining greater prominence in the assessment of physical health, but we have little understanding of the role that sPGD can play in mental health. To better understand the use of sPGD in mental health, we interviewed care providers in an intensive treatment program (ITP) for veterans with post-traumatic stress disorder. In this program, patients were given Fitbits for their own voluntary use. Providers identified a number of potential benefits from patients’ Fitbit use, such as patient empowerment and opportunities to reinforce therapeutic progress through collaborative data review and interpretation. However, despite the promise of sensor data as offering an “objective” view into patients’ health behavior and symptoms, the relationships between sPGD and therapeutic progress are often ambiguous. Given substantial subjectivity involved in interpreting data from commercial wearables in the context of mental health treatment, providers emphasized potential risks to their patients and were uncertain how to adjust their practice to effectively guide collaborative use of the FitBit and its sPGD. We discuss the implications of these findings for designing systems to leverage sPGD in mental health care

A mobile phone–based intervention to improve mental health among homeless young adults: Pilot feasibility trial

Background: Youth homelessness is a substantial issue, and many youths experiencing homelessness have mental health issues as both a cause and consequence of homelessness. These youths face many barriers to receiving traditional mental health services, and as a result, only a few youths experiencing homelessness receive any form of mental health care. Objective: This project aimed to develop and determine the feasibility and acceptability of engaging young adults (ie, individuals aged 18-24 years) experiencing homelessness in a remotely delivered mental health intervention. This intervention provided brief emotional support and coping skills, drawing from cognitive behavioral principles as an introduction into psychosocial support. The intervention was piloted in a homeless shelter network. Methods: A total of 35 young adults experiencing homelessness participated in a single-arm feasibility pilot trial. Participants received a mobile phone, a service and data plan, and 1 month of support from a coach consisting of up to 3 brief phone sessions, text messaging, and mobile mental health apps. We evaluated feasibility by looking at completion of sessions as well as the overall program and acceptability with satisfaction ratings. We also collected clinical symptoms at baseline and the end of the 1-month support period. We used validity items to identify participants who might be responding inappropriately and thus only report satisfaction ratings and clinical outcomes from valid responses. Results: Most participants (20/35, 57%) completed all 3 of their phone sessions, with an average of 2.09 sessions (SD 1.22) completed by each participant. Participants sent an average of 15.06 text messages (SD 12.62) and received an average of 19.34 messages (SD 12.70). We found higher rates of satisfaction among the participants with valid responses, with 100% (23/23) of such participants indicating that they would recommend participation to someone else and 52% (12/23) reporting that they were very or extremely satisfied with their participation. We found very little change from pre- to posttreatment on measures of depression (d=0.27), post-traumatic stress disorder (d=0.17), and emotion regulation (d=0.10). Conclusions: This study demonstrated that it was feasible to engage homeless young adults in mental health services in this technology-based intervention with high rates of satisfaction. We did not find changes in clinical outcomes; however, we had a small sample size and a brief intervention. Technology might be an important avenue to reach young adults experiencing homelessness, but additional work could explore proper interventions to deliver with such a platform

Self-reported PTSD symptoms and social support in U.S. military service members and veterans: a meta-analysis

Background: The mental health burden of posttraumatic stress disorder (PTSD) is high in U.S. military samples. Social support is one of the most robust protective factors against PTSD and a recent meta-analysis indicates that this relationship is even stronger in military samples compared to civilian samples. Yet no meta-analyses have explored factors impacting this association in veterans and military service members (VSMs). Objective: The current meta-analysis examined demographic, social support, and military characteristics that may moderate the relationship of PTSD severity and social support among U.S. VSMs. Method: A search identified 37 cross-sectional studies, representing 38 unique samples with a total of 18,766 individuals. Results: The overall random effects estimate was −.33 (95% CI: −.38, −.27, Z = −10.19, p <.001), indicating that lower levels of social support were associated with more severe PTSD symptoms. PTSD measures based on the Diagnostic and Statistical Manual (DSM)-III had a larger effect size than measures based on DSM-IV or DSM-5. The social support source was a significant moderator such that support perceived from non-military sources was associated with a larger effect size than support perceived from military sources. This finding held after accounting for covariates. Deployment-era, timing of social support, and age were also significant moderators, but were no longer significantly associated with effect size after adjusting for covariates. Although previous meta-analyses have shown social negativity to be more impactful than positive forms of social support, there were too few studies conducted to evaluate social negativity in moderator analyses. Conclusion: Results suggest that social support received from civilians and in the home environment may play a greater protective role than social support received from military sources on long-term PTSD symptom severity. The literature on social support and PTSD in U.S. VSMs would be strengthened by studies examining the association of social negativity and PTSD symptoms

Negative posttraumatic cognitions among military sexual trauma survivors

Background: Unique aspects of military sexual trauma (MST) may result in specific maladaptive cognitions among survivors. Understanding which posttraumatic cognitions are particularly strong among MST survivors could help clinicians target and improve treatment for these individuals. This study explored the impact of experiencing MST on posttraumatic cognitions among veterans with posttraumatic stress disorder (PTSD). Methods: Veterans enrolled in an Intensive Outpatient Program for PTSD (N = 226) were assessed for MST, PTSD severity, depression severity, and posttraumatic cognitions as part of a standard clinical intake. Multivariate analyses examined differences in posttraumatic cognitions between veterans who did and did not experience MST. Results: MST survivors (n = 88) endorsed significantly stronger posttraumatic cognitions related to self-blame compared to non-MST counterparts (n = 138), even when accounting for current symptom severity. Specifically, MST predicted the following cognitions: “The event happened to me because of the sort of person I am,” “Somebody else would have stopped the event from happening,” “Somebody else would not have gotten into this situation,” and “There is something about me that made the event happen,” after controlling for severity of PTSD and depression. Limitations: Study population was a treatment-seeking sample of veterans diagnosed with PTSD from a non-VA clinic. Veterans in MST group endorsed either sexual harassment, sexual assault, or both. Sample size of males who endorsed MST (n = 21) may be too small to generalize to all males. Conclusions: Beliefs related to self-blame may be important treatment targets for MST survivors

The postencounter form system: viewpoint on efficient data collection within electronic health records

Electronic health records (EHRs) offer opportunities for research and improvements in patient care. However, challenges exist in using data from EHRs due to the volume of information existing within clinical notes, which can be labor intensive and costly to transform into usable data with existing strategies. This case report details the collaborative development and implementation of the postencounter form (PEF) system into the EHR at the Road Home Program at Rush University Medical Center in Chicago, IL to address these concerns with limited burden to clinical workflows. The PEF system proved to be an effective tool with over 98% of all clinical encounters including a completed PEF within 5 months of implementation. In addition, the system has generated over 325,188 unique, readily-accessible data points in under 4 years of use. The PEF system has since been deployed to other settings demonstrating that the system may have broader clinical utility