Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review

Treatment of Substance Use Disorders With a Mobile Phone App Within Rural Collaborative Care Management (Senyo Health): Protocol for a Mixed Methods Randomized Controlled Trial

BACKGROUND

COVID-19 worsened an already existing problem in substance use disorder (SUD) treatment. However, it helped transform the use of telehealth, which particularly benefits rural America. The lack of specialty addiction treatment in rural areas places the onus on primary care providers. Screening, brief intervention, and referral to treatment (SBIRT) is an evidenced-based strategy commonly used in primary care settings to target SUD outcomes and related behaviors. The integration of telehealth tools within the SBIRT pathway may better sustain the program in primary care. Building on Mayo Clinic's experience with collaborative care management (CoCM) for mental health treatment, we built a digitally native, integrated, behavioral health CoCM platform using a novel mobile app and web-based provider platform called Senyo Health.

OBJECTIVE

This protocol describes a novel use of the SBIRT pathway using Senyo Health to complement existing CoCM integration within primary care to deliver SUD treatment to rural patients lacking other access. We hypothesize that this approach will improve SUD-related outcomes within rural primary care clinics.

METHODS

Senyo Health is a digital tool to facilitate the use of SBIRT in primary care. It contains a web-based platform for clinician and staff use and a patient-facing mobile phone app. The app includes 16 learning modules along with data collection tools and a chat function for communicating directly with a licensed drug counselor. Beta-testing is currently underway to examine opportunities to improve Senyo Health prior to the start of the trial. We describe the development of Senyo Health and its therapeutic content and data collection instruments. We also describe our evaluation strategy including our measurement plan to assess implementation through a process guided by Consolidated Framework for Implementation Research methods and effectiveness through a waitlist control trial. A randomized controlled trial will occur where 30 participants are randomly assigned to immediately start the Senyo intervention compared to a waitlist control group of 30 participants who will start the active intervention after a 12-week delay.

RESULTS

The Senyo Health app was launched in May 2023, and the most recent update was in August 2024. Our funding period began in September 2023 and will conclude in July 2027. This protocol defines a novel implementation strategy for leveraging a digitally native, clinical platform that enables the delivery of CoCM to target an SUD-specific patient population. Our trial will begin in June 2025.

CONCLUSIONS

We present a theory of change and study design to assess the impact of a novel and patient-centered mobile app to support the SBIRT approach to SUD in primary care settings.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06743282; http://clinicaltrials.gov/ct2/show/NCT06743282.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/65693.

mHealth App to Promote Healthy Lifestyles for Diverse Families Living in Rural Areas: Usability Study

BACKGROUND

Mobile Integrated Care for Childhood Obesity is a multicomponent intervention for caregivers of young children with obesity from rural communities that was developed in collaboration with community, parent, and health care partners. It includes community programming to promote healthy lifestyles and address social needs and health care visits with an interdisciplinary team. A digital mobile health platform-the Healthy Lifestyle (Nemours Children's Health) dashboard-was designed as a self-management tool for caregivers to use as part of Mobile Integrated Care for Childhood Obesity.

OBJECTIVE

This study aimed to improve the usability of the English and Spanish language versions of the Healthy Lifestyle dashboard.

METHODS

During a 3-phased approach, usability testing was conducted with a diverse group of parents. In total, 7 mothers of children with obesity from rural communities (average age 39, SD 4.9 years; 4 Spanish-speaking and 3 English-speaking) provided feedback on a prototype of the dashboard. Participants verbalized their thoughts while using the prototype to complete 4 tasks. Preferences on the dashboard icon and resource page layout were also collected. Testing was done until feedback reached saturation and no additional substantive changes were suggested. Qualitative and quantitative data regarding usability, acceptability, and understandability were analyzed.

RESULTS

The dashboard was noted to be acceptable by 100% (N=7) of the participants. Overall, participants found the dashboard easy to navigate and found the resources, notifications, and ability to communicate with the health care team to be especially helpful. However, all (N=4) of the Spanish-speaking participants identified challenges related to numeracy (eg, difficulty interpreting the growth chart) and literacy (eg, features not fully available in Spanish), which informed iterative refinements to make the dashboard clearer and more literacy-sensitive. All 7 participants (100%) selected the same dashboard icon and 71% (5/7) preferred the final resource page layout.

CONCLUSIONS

Conducting usability testing with key demographic populations, especially Spanish-speaking populations, was important to developing a mobile health intervention that is user-friendly, culturally relevant, and literacy-sensitive.

Provision of Digital Primary Health Care Services: Overview of Reviews

BACKGROUND

Digital health is a growing field, and many digital interventions have been implemented on a large scale since the COVID-19 pandemic, mainly in primary health care (PHC). The development of digital health interventions and their application in PHC are encouraged by the World Health Organization. The increased number of published scientific papers on this topic has resulted in an overwhelming amount of information, but there is no overview of reviews to summarize this evidence.

OBJECTIVE

This study aims to provide policy makers, health managers, and researchers with a summary of evidence on digital interventions used in PHC.

METHODS

This overview of reviews searched the Web of Science and MEDLINE databases for systematic and scoping reviews on assessments of digital technologies implemented in PHC published from January 2007 to March 2023. Only reviews that addressed digital interventions whose targets were real patients or health care providers (HCPs) were included.

RESULTS

A total of 236 records were identified from the search strategy, of which 42 (17.8%) full-text papers were selected for analysis, and 18 (7.6%) reviews met the eligibility criteria. In total, 61% (11/18) of the reviews focused their analysis on specific digital health interventions (client-to-provider telemedicine, provider-to-provider telemedicine, health worker decision support systems, systems for tracking patients' health status, client participation and self-care platforms, and provision of education and training to health workers), and 39% (7/18) of the reviews focused on specific topics related to PHC (preventive care, chronic disease management, behavioral health disorders, the COVID-19 pandemic, multicomponent PHC interventions, and care coordination). Most studies in the included reviews agreed on barriers to implementation, such as software and apps developed without involving end users, the lack of training of HCPs and patients in digital technology use, and the lack of reimbursement and billing strategies for remote consultations. However, they showed several mixed results related to health service quality and patients' clinical conditions and behavior changes.

CONCLUSIONS

Research in digital health applied to PHC is still concentrated in high-income countries, mainly in North America and Europe. The mixed results related to health service quality and patients' clinical conditions or behavior changes may have been caused by deficiencies in the process of implementing digital interventions. It is necessary to examine the entire impact pathway and the causal relationship among implementation, health service quality, and clinical condition outcomes to support the spread of digital health in PHC settings.

Feasibility of a nurse-led, mHealth-assisted, and team-based collaborative care model for heart failure care in India: Findings from a multi-stakeholder qualitative study

Background

Heart failure (HF) management is often challenging due to poor adherence to GDMT and self-care. Continuous monitoring of patients by a dedicated care manager may enhance adherence to self-care and treatment and prevent hospitalisations. For the adoption and acceptance of a collaborative care model (CCM) for HF management in Indian settings, understanding the perspectives of all stakeholders regarding its various components and feasibility is needed. Therefore, we aimed to obtain perceptions of potential challenges to care and suggestions on multiple components of the proposed CCM in managing HF and its feasibility.

Methods

In-depth interviews were done among HF patients, caregivers, nurses, and cardiologists from private, co-operative, and public sector tertiary care hospital settings that cater to HF patients in Kerala, India. An in-depth interview guide was used to elicit the data. Data were analysed using Python QualCoder version 2.2. We used a framework method for the analysis of data.

Results

A total of 22 in-depth interviews were conducted. We found that the existing care for HF in many settings was inadequate for continuous engagement with the patients. Non-adherence to treatment and other self-care measures, was noted as a major challenge to HF care. Healthcare providers and patients felt nurses were better at leading collaborative care. However, various barriers, including technical and technological, and the apprehensions of nurses in leading the CCM were identified. The stakeholders also identified the mHealth-assisted CCM as a potential tool to save money. The stakeholders also appreciated the role of nurses in creating confidence in patients.

Conclusions

A nurse-led, mHealth-assisted, and team-based collaborative care was recognised as an excellent step to improve patient adherence. Effective implementation of it could reduce hospitalisations and improve patients' ability to manage their HF symptoms.

The effects of multidisciplinary collaborative care on cardiovascular risk factors among patients with diabetes in primary care settings: A systematic review and meta-analysis

BACKGROUND

Multidisciplinary collaborative care has been widely recommended as an effective strategy for managing diabetes; however, the cardiovascular risk factors of patients with diabetes are often inadequately managed in primary care settings. This study aimed to assess the effect of multidisciplinary collaboration on cardiovascular risk factors among patients with diabetes in primary care settings.

METHODS

Five databases (i.e., Medline, Embase, CINAHL, SCOPUS and CENTRAL) were systematically searched to retrieve randomised controlled trials. Studies were eligible for inclusion if the interventions included a multidisciplinary team with professionals from at least three health disciplines and focused on patients with diabetes in primary care settings. A random-effects model was used to calculate the pooled effects.

RESULTS

In total, 19 studies comprising 6538 patients were included in the meta-analysis. The results showed that compared with usual care, multidisciplinary collaborative care significantly reduced cardiovascular risk factors, including mean systolic blood pressure (-3.27 mm Hg, 95 % confidence interval [CI]: -4.72 to -1.82, p < 0.01), diastolic blood pressure (-1.4 mm Hg, 95 % CI: -2.32 to -0.47, p < 0.01), glycated haemoglobin (-0.42 %, 95 % CI: -0.59 to -0.25, p < 0.01), low-density lipoprotein (-0.16 mmol/L, 95 % CI: -0.26 to -0.06, p < 0.01) and high-density lipoprotein (0.06 mmol/L, 95 % CI: 0.00-0.12, p < 0.05). The subgroup analysis showed multidisciplinary collaboration was more effective in reducing cardiovascular risk factors when it comprised team members from a number of different disciplines, combined pharmacological and non-pharmacological components, included both face-to-face and remote interactions and was implemented in high-income countries.

CONCLUSION

Multidisciplinary collaborative care is associated with reduced cardiovascular risk factors among patients with diabetes in primary care. Further studies need to be conducted to determine the optimal team composition.

Rates of Trauma Exposure and Posttraumatic Stress in a Pediatric Digital Mental Health Intervention: Retrospective Analysis of Associations With Anxiety and Depressive Symptom Improvement Over Time

BACKGROUND

More than 2 out of 3 children and adolescents in the United States experience trauma by the age of 16 years. Exposure to trauma in early life is linked to a range of negative mental health outcomes throughout the lifespan, particularly co-occurring symptoms of posttraumatic stress (PTS), anxiety, and depression. There has been an increasing uptake of digital mental health interventions (DMHIs) among youths, particularly for anxiety and depression. However, little is known regarding the incidence of trauma exposure and PTS symptoms among youths participating in DMHIs and whether PTS symptoms impact anxiety and depressive symptom treatment response. Moreover, it is unclear whether participation in a DMHI for anxiety and depressive symptoms is associated with secondary effects on PTS symptoms among trauma-exposed youths.

OBJECTIVE

This study aims to use retrospective data from youths participating in a DMHI to (1) characterize rates of trauma, PTS, and comorbid anxiety and depressive symptoms; (2) determine whether trauma exposure and elevated PTS symptoms impact the improvement of comorbid anxiety and depressive symptoms throughout participation in care; and (3) determine whether participation in a non-posttraumatic DMHI is linked to reductions in PTS symptoms.

METHODS

This study was conducted using retrospective data from members (children ages 6 to 12 years) involved in a pediatric collaborative care DMHI. Participating caregivers reported their children's trauma exposure. PTS, anxiety, and depressive symptom severity were measured monthly using validated assessments.

RESULTS

Among eligible participants (n=966), 30.2% (n=292) reported at least 1 traumatic event. Of those with trauma exposure and elevated symptoms of PTS (n=119), 73% (n=87) exhibited elevated anxiety symptoms and 50% (n=59) exhibited elevated depressive symptoms. Compared to children with no trauma, children with elevated PTS symptoms showed smaller reductions per month in anxiety but not depressive symptoms (anxiety: F2,287=26.11; P<.001). PTS symptoms also decreased significantly throughout care, with 96% (n=79) of participants showing symptom reductions.

CONCLUSIONS

This study provides preliminary evidence for the frequency of trauma exposure and comorbid psychiatric symptoms, as well as variations in treatment response between trauma-exposed and nontrauma-exposed youths, among participants in a pediatric collaborative care DMHI. Youths with traumatic experiences may show increased psychiatric comorbidities and slower treatment responses than their peers with no history of trauma. These findings deliver compelling evidence that collaborative care DMHIs may be well-suited to address mental health symptoms in children with a history of trauma while also highlighting the critical need to assess symptoms of PTS in children seeking treatment.

Improvements in sleep problems and their associations with mental health symptoms: A study of children and adolescents participating in a digital mental health intervention

Objective

A growing number of youth are utilizing digital mental health interventions (DMHIs) for treatment of mental health problems such as anxiety, depression, and ADHD. Although these mental health symptoms are closely related to sleep problems, it is unknown whether nonsleep DMHIs indirectly confer improvements in sleep. Using retrospective data, the current study assesses (1) whether youth sleep problems improve over participation in a nonsleep DMHI, and (2) whether mental health symptom severity and improvement are correlated with sleep problem severity over time.

Methods

Sleep problems and mental health symptoms were assessed every 30 days among children (ages 5-12) and adolescents (ages 13-17) participating in a pediatric digital mental health intervention (DMHI; N = 1219).

Results

Children and adolescents with elevated sleep problems (39.3%; n = 479) were older (P < .001), more predominantly female (P < .001), and more likely to have elevated anxiety (P < .001), depressive (P < .001) and inattention symptoms (P = .001), as compared to those with nonelevated sleep problems (60.7%; n = 740). From the baseline to last assessment, 77.3% (n = 269) of members with elevated sleep problems exhibited improvements, with sleep problems decreasing significantly over each month in care (P < .001). Members with improvements in anxiety, depressive, and/or ADHD symptoms had larger improvements in sleep over time compared to their peers with no improvement in their mental health symptoms (Months in care*Change type: P < .001 for all).

Conclusions

Our results provide preliminary evidence that participation in a pediatric DMHI is associated with improvements in sleep problems, even when youth are not being treated directly for sleep problems. These findings highlight a valuable secondary benefit of participating in mental health care within pediatric DMHIs and warrant further experimental research.

The use of commercial wrist-worn technology to track physiological outcomes in behavioral interventions

PURPOSE OF REVIEW

The aim of this review is to provide an overview of the use of commercial wrist-worn mobile health devices to track and monitor physiological outcomes in behavioral interventions as well as discuss considerations for selecting the optimal device.

RECENT FINDINGS

Wearable technology can enhance intervention design and implementation. The use of wrist-worn wearables provides the opportunity for tracking physiological outcomes, thus providing a unique approach for assessment and delivery of remote interventions. Recent findings support the utility, acceptability, and benefits of commercial wrist-worn wearables in interventions, and they can be used to continuously monitor outcomes, remotely administer assessments, track adherence, and personalize interventions. Wrist-worn devices show acceptable accuracy when measuring heart rate, blood pressure, step counts, and physical activity; however, accuracy is dependent on activity type, intensity, and device brand. These factors should be considered when designing behavioral interventions that utilize wearable technology.

SUMMARY

With the continuous advancement in technology and frequent product upgrades, the capabilities of commercial wrist-worn devices will continue to expand, thus increasing their potential use in intervention research. Continued research is needed to examine and validate the most recent devices on the market to better inform intervention design and implementation.

Effectiveness of social media with or without wearable devices to improve physical activity and reduce sedentary behavior: A randomized controlled trial of Chinese postgraduates

The present study was aimed to verify whether an integrating of wearable activity tracker device and a social media intervention strategy would be better than a standalone social media intervention for improving physical activity (PA) and reducing sedentary time for Chinese postgraduate population. A total of 42 full-time postgraduate students participated in this study, which were randomized to receive a 4-week social media intervention through WeChat either with (Wearable Device group) or without (control group) a wearable activity tracker device. Energy expenditure, step counts, moderate to vigorous physical activity time (MVPA) and sedentary time were assessed before and after the intervention. Besides, anthropometric parameters of body weight, body mass index, body fat rate, waist-to-hip ratio, as well as self-reported quality of life were also evaluated. It was found that both energy expenditure and step counts were significantly increased, while sedentary time was significantly reduced during the post-intervention test compared to the baseline test for Wearable Device group. No significant difference of PA was found for the control group. The results demonstrated that the integrating of wearable activity tracker device and a social media intervention was effective in promoting PA, while a standalone social media intervention may have no effect on the influence of PA for Chinese postgraduates.

Exploring User Visions for Modeling mHealth Apps Toward Supporting Patient-Parent-Clinician Collaboration and Shared Decision-making When Treating Adolescent Knee Pain in General Practice: Workshop Study

BACKGROUND

Long-standing knee pain is one of the most common reasons for adolescents (aged 10-19 years) to consult general practice. Generally, 1 in 2 adolescents will continue to experience pain after 2 years, but exercises and self-management education can improve the prognosis. However, adherence to exercises and self-management education interventions remains poor. Mobile health (mHealth) apps have the potential for supporting adolescents' self-management, enhancing treatment adherence, and fostering patient-centered approaches. However, it remains unclear how mHealth apps should be designed to act as tools for supporting individual and collaborative management of adolescents' knee pain in a general practice setting.

OBJECTIVE

The aim of the study was to extract design principles for designing mHealth core features, which were both sufficiently robust to support adolescents' everyday management of their knee pain and sufficiently flexible to act as enablers for enhancing patient-parent collaboration and shared decision-making.

METHODS

Overall, 3 future workshops were conducted with young adults with chronic knee pain since adolescence, parents, and general practitioners (GPs). Each workshop followed similar procedures, using case vignettes and design cards to stimulate discussions, shared construction of knowledge and elicit visions for mHealth designs. Young adults and parents were recruited via social media posts targeting individuals in Northern Jutland. GPs were recruited via email and cold calling. Data were transcribed and analyzed thematically using NVivo (QSR International) coding software. Extracted themes were synthesized in a matrix to map tensions in the collaborative space and inform a conceptual model for designing mHealth core-features to support individual and collaborative management of knee pain.

RESULTS

Overall, 38% (9/24) young adults with chronic knee pain since adolescence, 25% (6/24) parents, and 38% (9/24) GPs participated in the workshops. Data analysis revealed how adolescents, parents, and clinicians took on different roles within the collaborative space, with different tasks, challenges, and information needs. In total, 5 themes were identified: adolescents as explorers of pain and social rules; parents as supporters, advocates and enforcers of boundaries; and GPs as guides, gatekeepers, and navigators or systemic constraints described participants' roles; collaborative barriers and tensions referred to the contextual elements; and visions for an mHealth app identified beneficial core features. The synthesis informed a conceptual model, outlining 3 principles for consolidating mHealth core features as enablers for supporting role negotiation, limiting collaborative tensions, and facilitating shared decision-making.

CONCLUSIONS

An mHealth app for treating adolescents with knee pain should be designed to accommodate multiple users, enable them to shift between individual management decision-making, take charge, and engage in role negotiation to inform shared decision-making. We identified 3 silver-bullet principles for consolidating mHealth core features as enablers for negotiation by supporting patient-GP collaboration, supporting transitions, and cultivating the parent-GP alliance.

Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy

How to deliver best care in various clinical settings remains a vexing problem. All pertinent healthcare-related questions have not, cannot, and will not be addressable with costly time- and resource-consuming controlled clinical trials. At present, evidence-based guidelines can address only a small fraction of the types of care that clinicians deliver. Furthermore, underserved areas rarely can access state-of-the-art evidence-based guidelines in real-time, and often lack the wherewithal to implement advanced guidelines. Care providers in such settings frequently do not have sufficient training to undertake advanced guideline implementation. Nevertheless, in advanced modern healthcare delivery environments, use of eActions (validated clinical decision support systems) could help overcome the cognitive limitations of overburdened clinicians. Widespread use of eActions will require surmounting current healthcare technical and cultural barriers and installing clinical evidence/data curation systems. The authors expect that increased numbers of evidence-based guidelines will result from future comparative effectiveness clinical research carried out during routine healthcare delivery within learning healthcare systems.

Mobile Health Platform to Augment Behavioral Health in Primary Care: A Feasibility Study (Preprint)

Background

The collaborative care model is a well-established system of behavioral health care within primary care settings. There is potential for mobile health (mHealth) technology to augment collaborative behavioral health care in primary care settings, thereby improving scalability, efficiency, and clinical outcomes.

Objective

We aimed to assess the feasibility of engaging with and the preliminary clinical outcomes of an mHealth platform that was used to augment an existing collaborative care program in primary care settings.

Methods

We performed a longitudinal, single-arm feasibility study of an mHealth platform that was used to augment collaborative care. A total of 3 behavioral health care managers, who were responsible for coordinating disease management in 6 primary care practices, encouraged participants to use a mobile app to augment the collaborative model of behavioral health care. The mHealth platform’s functions included asynchronous chats with the behavioral health care managers, depression self-report assessments, and psychoeducational content. The primary outcome was the feasibility of engagement, which was based on the number and type of participant-generated actions that were completed in the app. The primary clinical end point was a comparison of the baseline and final assessments of the Patient Health Questionnaire-9.

Results

Of the 245 individuals who were referred by their primary care provider for behavioral health services, 89 (36.3%) consented to app-augmented behavioral health care. Only 12% (11/89) never engaged with the app during the study period. Across all participants, we observed a median engagement of 7 (IQR 12; mean 10.4; range 0-130) actions in the app (participants: n=78). The chat function was the most popular, followed by psychoeducational content and assessments. The subgroup analysis revealed no significant differences in app usage by age (P=.42) or sex (P=.84). The clinical improvement rate in our sample was 73% (32/44), although follow-up assessments were only available for 49% (44/89) of participants.

Conclusions

Our preliminary findings indicate the moderate feasibility of using mHealth technology to augment behavioral health care in primary care settings. The results of this study are applicable to improving the design and implementation of mobile apps in collaborative care.

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Background

More than 2 out of 3 children and adolescents in the United States experience trauma by the age of 16 years. Exposure to trauma in early life is linked to a range of negative mental health outcomes throughout the lifespan, particularly co-occurring symptoms of posttraumatic stress (PTS), anxiety, and depression. There has been an increasing uptake of digital mental health interventions (DMHIs) among youths, particularly for anxiety and depression. However, little is known regarding the incidence of trauma exposure and PTS symptoms among youths participating in DMHIs and whether PTS symptoms impact anxiety and depressive symptom treatment response. Moreover, it is unclear whether participation in a DMHI for anxiety and depressive symptoms is associated with secondary effects on PTS symptoms among trauma-exposed youths.

Objective

This study aims to use retrospective data from youths participating in a DMHI to (1) characterize rates of trauma, PTS, and comorbid anxiety and depressive symptoms; (2) determine whether trauma exposure and elevated PTS symptoms impact the improvement of comorbid anxiety and depressive symptoms throughout participation in care; and (3) determine whether participation in a non–posttraumatic DMHI is linked to reductions in PTS symptoms.

Methods

This study was conducted using retrospective data from members (children ages 6 to 12 years) involved in a pediatric collaborative care DMHI. Participating caregivers reported their children’s trauma exposure. PTS, anxiety, and depressive symptom severity were measured monthly using validated assessments.

Results

Among eligible participants (n=966), 30.2% (n=292) reported at least 1 traumatic event. Of those with trauma exposure and elevated symptoms of PTS (n=119), 73% (n=87) exhibited elevated anxiety symptoms and 50% (n=59) exhibited elevated depressive symptoms. Compared to children with no trauma, children with elevated PTS symptoms showed smaller reductions per month in anxiety but not depressive symptoms (anxiety: F 2,287=26.11; P <.001). PTS symptoms also decreased significantly throughout care, with 96% (n=79) of participants showing symptom reductions.

Conclusions

This study provides preliminary evidence for the frequency of trauma exposure and comorbid psychiatric symptoms, as well as variations in treatment response between trauma-exposed and nontrauma-exposed youths, among participants in a pediatric collaborative care DMHI. Youths with traumatic experiences may show increased psychiatric comorbidities and slower treatment responses than their peers with no history of trauma. These findings deliver compelling evidence that collaborative care DMHIs may be well-suited to address mental health symptoms in children with a history of trauma while also highlighting the critical need to assess symptoms of PTS in children seeking treatment.