Improving Mood Through Community Connection and Resources Using an Interactive Digital Platform: Development and Usability Study

Ortiz, Robin; Southwick, Lauren; Schneider, Rachelle; Klinger, Elissa V.; Pelullo, Arthur; Guntuku, Sharath Chandra; Merchant, Raina M.; Agarwal, Anish K.

doi:10.2196/25834

Cited by 3 publications

(2 citation statements)

References 14 publications

(13 reference statements)

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“…The majority of participants were Black (275/409, 73.5%) and female (264/409, 70.1%) ( Table 1 ). Additional participant demographics and intervention details have been reported previously [ 15 ].…”

Section: Resultsmentioning

confidence: 99%

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Crowdsourced Community Support Resources Among Patients Discharged From the Emergency Department During the COVID-19 Pandemic: Pilot Feasibility Study

et al. 2022

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Background The COVID-19 pandemic has placed strains on communities. During this public health crisis, health systems have created remote methods of monitoring symptom progression and delivering care virtually. Objective Using an SMS text message-based system, we sought to build and test a remote model to explore community needs, connect individuals to curated resources, and facilitate community health worker intervention when needed during the pandemic. The primary aims of this pilot study were to establish the feasibility (ie, engagement with the text line) and acceptability (ie, participant ratings of resources and service) of delivering automated well-being resources via smartphone technology. Methods Eligible patients (aged 18 years or older, having a cell phone with SMS text messaging capability, and recently visited the emergency department) were identified using the electronic health record. The patients were consented to enroll and begin receiving COVID-19–related information and links to community resources. We collected open-ended and close-ended resource and mood ratings. We calculated the frequencies and conducted a thematic review of the open-ended responses. Results In 7 weeks, 356 participants were enrolled; 13,917 messages were exchanged including 333 resource ratings (mean 4) and 673 well-being scores (mean 6.8). We received and coded 386 open-ended responses, most of which elaborated upon their self-reported mood score (29%). Overall, 77% (n=274) of our participants rated the platform as a service they would highly recommend to a family member or friend. Conclusions This approach is designed to broaden the reach of health systems, tailor to community needs in real time, and connect at-risk individuals with robust community health support.

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Section: Resultsmentioning

confidence: 99%

“…This study employed an iterative design approach to test assumptions and gather continuous descriptive feedback. Further details regarding the pilot design have been reported previously [ 15 ].…”

Section: Methodsmentioning

confidence: 99%

Crowdsourced Community Support Resources Among Patients Discharged From the Emergency Department During the COVID-19 Pandemic: Pilot Feasibility Study

et al. 2022

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The Usability, Feasibility, Acceptability, and Efficacy of Digital Mental Health Services in the COVID-19 Pandemic: Scoping Review, Systematic Review, and Meta-analysis

Zhong¹,

Yang²,

Pan³

et al. 2023

JMIR Public Health Surveill

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Background After the rapid spread of the novel SARS-CoV-2, the short-term and long-term mental health impacts of the pandemic on the public, in particular on susceptible individuals, have been reported worldwide. Although digital mental health services expand accessibility while removing many barriers to in-person therapy, their usability, feasibility, acceptability, and efficacy require continued monitoring during the initial phase of the pandemic and its aftermath. Objective In this study, we aimed to understand what mental health services are offered, whether they are practical or acceptable, and to what extent digital mental health services are effective in response to the COVID-19 pandemic across high-income and low- and middle-income countries. Methods This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guideline. We implemented searches in PubMed (MEDLINE), Embase, PsycINFO, and Cochrane databases for studies that were published between December 2019 and November 2021 and that involved the use of digital mental health services. Two review authors screened, assessed, and extracted studies independently. The protocol was registered on the International Prospective Register of Systematic Reviews. Results This review identified 7506 articles through database searching. In total, 65 (0.9%) studies from 18 countries with 67,884 participants were eligible for the scoping review. Of the 65 studies, 16 (24.6%) were included in the meta-analysis. A total of 15 (23.1%) studies measured the usability; 31 (47.7%) studies evaluated the feasibility; 29 (44.6%) studies assessed the acceptability; and 51 (78.5%) studies assessed the efficacy. Web-based programs (21/65, 32.3%), videoconferencing platforms (16/65, 24.6%), smartphone apps (14/65, 21.5%), and SMS text messaging (5/65, 7.7%) were the main techniques. Psychotherapy (44/65, 67.7%) followed by psychoeducation (6/65, 9.2%) and psychological support (5/65, 7.7%) were commonly used. The results of the meta-analysis showed that digital mental health interventions were associated with a small reduction in depressive symptoms (standardized mean difference=−0.49; 95% CI −0.74 to −0.24; P<.001) and a moderate reduction in anxiety symptoms (standardized mean difference=−0.66; 95% CI −1.23 to −1.0; P=.02) significantly. Conclusions The findings suggest that digital mental health interventions may be practical and helpful for the general population, at-risk individuals, and patients with preexisting mental disorders across high-income and middle-income countries. An expanded research agenda is needed to apply different strategies for addressing diverse psychological needs and develop integrated mental health services in the post–COVID-19 era. Trial Registration PROSPERO CRD42022307695; https://tinyurl.com/2jcuwjym

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Crowdsourced Community Support Resources Among Patients Discharged From the Emergency Department During the COVID-19 Pandemic: Pilot Feasibility Study (Preprint)

Agarwal¹,

Southwick²,

Schneider³

et al. 2021

Preprint

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BACKGROUND The coronavirus pandemic (COVID-19) has placed strains on communities. In the midst of this public health crisis, health systems have created remote methods of monitoring symptom progression and delivering care virtually. OBJECTIVE Using a text message-based system, we sought to build and test a remote model to explore community needs, connect individuals to curated resources, and facilitate community health worker intervention when needed during COVID-19. The primary aims of this pilot study were to establish the feasibility (ie, engagement with the text line) and acceptability (ie, participant ratings of resources and service) of delivering automated wellbeing resources via smartphone technology. METHODS Eligible patients (18 years or older, cell phone with SMS capability, and recent ED visit) were identified using the EHR. Patients were consented to enroll and begin receiving COVID-19 related information and links to community resources. We collected open- and close-ended resource and mood ratings. We calculated the frequencies and conducted thematic review of open-ended responses. RESULTS In seven weeks, 356 participants were enrolled; 13,917 messages were exchanged including 333 resource ratings (mean 4) and 673 well-being scores (mean 6.8). We received and coded 386 open-ended responses, most elaborated upon their self-reported mood score (29%). Overall, 77% of our participants rated the platform as a service they would highly recommend to a family member or friend. CONCLUSIONS This approach is designed to broaden the reach of health systems, tailor to community needs in real-time, and connect at-risk individuals with robust community health support.

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Improving Mood Through Community Connection and Resources Using an Interactive Digital Platform: Development and Usability Study

Cited by 3 publications

References 14 publications

Crowdsourced Community Support Resources Among Patients Discharged From the Emergency Department During the COVID-19 Pandemic: Pilot Feasibility Study

Crowdsourced Community Support Resources Among Patients Discharged From the Emergency Department During the COVID-19 Pandemic: Pilot Feasibility Study

The Usability, Feasibility, Acceptability, and Efficacy of Digital Mental Health Services in the COVID-19 Pandemic: Scoping Review, Systematic Review, and Meta-analysis

Crowdsourced Community Support Resources Among Patients Discharged From the Emergency Department During the COVID-19 Pandemic: Pilot Feasibility Study (Preprint)

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