scholarly journals Significant reduction in depressive symptoms among patients with moderately-severe to severe depressive symptoms after participation in a therapist-supported, evidence-based mobile health program delivered via a smartphone app

2021 ◽  
pp. 100408
Author(s):  
Valerie L. Forman-Hoffman ◽  
Benjamin W. Nelson ◽  
Kristian Ranta ◽  
Albert Nazander ◽  
Outi Hilgert ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Mobile Health ◽  
Health Program ◽  
Smartphone App ◽  
Evidence Based

Significant reduction in depressive symptoms among patients with at least moderately severe depressive symptoms after participation in a therapist-supported, evidence-based program delivered via a smartphone app

2020 ◽  
Author(s):  
Valerie Forman-Hoffman ◽  
Kristian Ranta ◽  
Albert Nazander ◽  
Outi Hilgert ◽  
Joao de Quevedo
Keyword(s):  
Depressive Symptoms ◽  
Health Program ◽  
Digital Health ◽  
Program Assessment ◽  
Smartphone App ◽  
Evidence Based ◽  
Symptoms Of Depression ◽  
End Of Treatment ◽  
Intent To Treat ◽  
Treat Analysis

Depression is a debilitating disorder associated with many poor health outcomes, including increased comorbidity and early mortality. Despite the advent of new digital health interventions, few have been tested among patients with more severe forms of depression. As such, we examined whether 150 patients with at least moderately severe depressive symptoms (PHQ-9>=15) experienced significant reductions in depressive symptoms after participation in a therapist-supported, evidence-based program delivered via smartphone app. An-intent-to-treat analysis showed that patients with at least moderately severe depressive symptoms at pre-program assessment experienced significant decreases in depressive symptoms at end-of treatment (mean PHQ-9 reduction=7.3, Hedges’ g = 1.7]) that were maintained at 1-, 3-, 6-, and 12-months post-program. Also, 40% of patients with at least moderately severe depressive symptoms at baseline and 32% of patients with severe depressive symptoms (PHQ-9>=20) at baseline responded to the intervention at end-of-treatment, defined as experiencing >= 50% reduction in PHQ-9 score and a post-program PHQ-9 score lower than 10. Future randomized trials are warranted to test the Meru Health Program as a scalable solution for patients with more severe symptoms of depression.

Smartphone App Support of Evidence-Based Trauma Treatment: A Prolonged Exposure Coach

2012 ◽  
Author(s):  
Greg M. Reger ◽  
Julia E. Hoffman ◽  
Josef I. Ruzek ◽  
David S. Riggs ◽  
Barbara O. Rothbaum ◽  
...  
Keyword(s):  
Prolonged Exposure ◽  
Trauma Treatment ◽  
Smartphone App ◽  
Evidence Based

日本における抑うつ症状に対する心理学的介入を目的とした スマートフォン用アプリケーション・プログラムのレビュー

2020 ◽  
Author(s):  
Hikari Takashina ◽  
Kengo Yokomitsu
Keyword(s):  
Depressive Symptoms ◽  
Daily Life ◽  
Behavioral Therapy ◽  
Mobile Apps ◽  
Evaluation Model ◽  
Ease Of Use ◽  
Background Information ◽  
Evidence Based ◽  
Privacy And Security ◽  
Current State

There are thousands of mobile apps delivering information and offering support and intervention in situations of daily life. The aim of this study was to identify the current state of apps for depressive symptoms or prevention of depression within the official Android and iOS app stores in Japan. The 47 apps for depression available for download from the app stores were evaluated by the App Evaluation Model regarding background information, risk/ privacy and security, evidence, ease of use, and interoperability. Also, we evaluated their primary purpose, technology components, and cognitive-behavioral therapy components. The results suggest that in general few apps have been developed that are evidence-based, secure, and provide the services that users expect. In the future, it will be necessary to develop a framework for developing and disseminating more effective apps. This study is the first review of apps for depression available in Japan and seeks to help create a framework for such apps.

scholarly journals Comprehensively addressing postpartum maternal health: a content and image review of commercially available mobile health apps

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Laura Tucker ◽  
Alan Cuevas Villagomez ◽  
Tamar Krishnamurti
Keyword(s):  
Maternal Health ◽  
Health Information ◽  
Mobile Health ◽  
Rating Scale ◽  
The United States ◽  
People Of Color ◽  
Evidence Based ◽  
Or Education ◽  
Google Play

Abstract Background The United States is currently facing a maternal morbidity and mortality crisis, with the highest rates of any resource-rich nation. In efforts to address this, new guidelines for postpartum care suggest that mobile health (mHealth) apps can help provide complementary clinical support for new mothers during the postpartum period. However, to date no study has evaluated the quality of existing mHealth tools targeted to this time period in terms of sufficiency of maternal health information, inclusivity of people of color, and app usability. Methods Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards were used to review the peripartum apps from the Apple and Google Play stores in either the Health/Fitness, Medical, or Education categories. Apps were evaluated for extent and quality of maternal health information and inclusivity of people of color using an a priori coding scheme. App usability was evaluated using the Mobile Application Rating Scale (MARS) score. Results Of the 301 apps from the Apple and Google Play stores, 25 met criteria for final evaluation. Of the 30 maternal health topics coded for, the median number addressed by apps was 19.5 (65%). Peripartum behaviors were more frequently addressed than peripartum outpatient care topics and peripartum acute health risks. The coverage of maternal health information and inclusivity of people of color in app imagery both correlated positively with the MARS usability score of the app. Only 8 apps (32%) portrayed greater than 24% images of people of color- the percent of non-white Americans according to 2019 census estimates. There was no correlation between MARS usability score and number of app users, as estimated by number of ratings for the app available on the app store. In addition, apps with evidence-based maternal health information had greater MARS engagement, information, and aesthetics scores. However, presence of evidence-based information did not correlate with greater numbers of app users. Conclusions Current commercially available peripartum apps range widely in quality. Overall current app offerings generally do not provide adequate maternal health information and are not optimally accessible to the target users in terms of inclusivity of women of color or app usability. Apps delivering evidence-based information and more usable design are more likely to meet these standards but are not more likely to be downloaded by users.

Efficacy, effectiveness, and quality of resilience-building mobile health apps for military, veteran and public safety personnel populations: a scoping literature review and app evaluation (Preprint)

2021 ◽  
Author(s):  
Melissa Voth ◽  
Shannon Chisholm ◽  
Hannah Sollid ◽  
Chelsea Jones ◽  
Lorraine Smith-MacDonald ◽  
...  
Keyword(s):  
Mental Health ◽  
Literature Review ◽  
Mobile Health ◽  
Public Safety ◽  
Evidence Based ◽  
Inclusion Criteria ◽  
Public Safety Personnel ◽  
Scoping Literature Review ◽  
Mhealth Apps ◽  
Safety Personnel

BACKGROUND Globally, military members (MM) and public safety personnel (PSP) are vulnerable to occupational stress injuries (OSIs) due to their job demands. Consequently, when MM and PSP transition out of these professions, they may continue to experience mental health challenges. In response to this, resilience building programs are being developed and implemented with the goal of promoting empowerment and primary stress regulation. The development of mobile health (mHealth) applications (apps) as an emergent mental health intervention platform has allowed for targeted, cost effective, and easily accessible treatment when in-person therapy may be limited or unavailable. However, current mHealth app development is not regulated, and often lacks both clear evidence-based research and the input of healthcare professionals. OBJECTIVE The purpose of this manuscript is to evaluate the evidence-based quality, efficacy, and effectiveness of resilience building mobile apps targeted towards MM, PSP, and veteran populations via: (1) a scoping literature review of the current evidence-base regarding resilience apps for these populations, and; (2) evaluation of free resilience apps designed for use amongst these populations. METHODS Studies were selected using a comprehensive search of MEDLINE, CINAHL Plus, PsycINFO, SocINDEX, Academic Search Complete, Embase, and Google and was guided by Preferred Reporting Items for Systematic Reviews and Meta-Analysis for scoping reviews (PRISMA-ScR). The Alberta Rating Index for Apps (ARIA) was utilized to conduct a review of each of the identified apps. Inclusion criteria consisted of apps: 1) free to download in either Google Play or the App Store; 2) updated within the last 3 years; 3) available in English and in Canada; and 4) intended for use by MM and/or PSP. RESULTS Twenty-two apps met the inclusion criteria for evaluation. The resilience strategies offered by the majority of apps included psychoeducation, mindfulness, Cognitive Behavioural Therapy (CBT), and Acceptance and Commitment Therapy (ACT). Eleven apps (50%) had been tested with randomized controlled trials, seven (31.8%) were evaluated using other research methods, and five (22.7%) had not been researched. Using the ARIA, apps scores ranged from 37 to 56 out of 72 with higher rated apps demonstrating increased useability and security features. CONCLUSIONS The mHealth apps reviewed are well suited to providing resilience strategies for MMs, PSP and veterans. They offer easy accessibility to evidence-based tools while working to encourage the use of emotional and professional support with safety in mind. While not intended to function as a substitute for professional services, research has demonstrated that mHealth apps have the potential to foster a significant reduction in symptom severity for PTSD, depression, anxiety, and other stress-induced concerns. Within clinical practice, apps can be utilized to supplement treatment as well as provide clients with population-specific, confidential tools to increase engagement in the treatment process. CLINICALTRIAL N/A

scholarly journals Assessment of Cultural Competence in an Ethnic Health Program: Evidence-Based Study

2015 ◽  
Vol 2 (2) ◽  
pp. 113-114
Author(s):  
Miyoung Cho ◽  
Jane H Kim ◽  
Sarah Hyun ◽  
Chul S Hyun ◽  
Dohyun Cho
Keyword(s):  
Cultural Competence ◽  
Health Program ◽  
Evidence Based

scholarly journals Establishing a Research Agenda on Mobile Health Technologies and Later-Life Pain Using an Evidence-Based Consensus Workshop Approach

2018 ◽  
Vol 19 (12) ◽  
pp. 1416-1423 ◽  
Author(s):  
Elaine Wethington ◽  
Christopher Eccleston ◽  
Geri Gay ◽  
Rachael Gooberman-Hill ◽  
Patricia Schofield ◽  
...  
Keyword(s):  
Mobile Health ◽  
Research Agenda ◽  
Later Life ◽  
Evidence Based ◽  
Health Technologies

Effects of a Water, Sanitation and Hygiene Mobile Health Program on Respiratory Illness in Bangladesh: A Cluster-Randomized Controlled Trial of the CHoBI7 Mobile Health Program

2022 ◽  
Author(s):  
Christine George ◽  
Jamie Perin ◽  
Tahmina Parvin ◽  
Sazzadul Bhuyian ◽  
Elizabeth Thomas ◽  
...  
Keyword(s):  
Mobile Health ◽  
Health Program ◽  
Controlled Trial ◽  
Home Visits ◽  
Respiratory Illness ◽  
Facility Delivery ◽  
Health Facility Delivery ◽  
Randomized Controlled ◽  
Diarrhea Patient ◽  
Cluster Randomized

Acute respiratory infections are a leading cause of morbidity and mortality among young children globally. The objective of this study was to evaluate the impact of the Cholera-Hospital-Based-Intervention-for-7-days (CHoBI7) handwashing with soap and water treatment mobile health (mHealth) program on respiratory illness among diarrhea patients and their household members in urban Dhaka, Bangladesh. A cluster-randomized controlled trial of the CHoBI7 mHealth program was conducted among diarrhea patient households in Dhaka, Bangladesh. Patients were randomized to three arms: standard recommendation on oral rehydration solution use, health facility delivery of CHoBI7 plus mHealth (weekly voice and text messages) (no home visits), and health facility delivery of CHoBI7 plus two home visits and mHealth. Respiratory symptoms were assessed during monthly clinical surveillance over the 12-month surveillance period. Respiratory illness was defined as rapid breathing, difficulty breathing, wheezing, or coughing. Two thousand six hundred twenty-six participants in 769 households were randomly allocated to three arms: 849 participants to the standard message arm, 886 to mHealth with no home visits arm, and 891 to the mHealth with two home visits. Compared with the standard message arm, participants in the mHealth with no home visits arm (Prevalence Ratio [PR]: 0.88 [95% CI: 0.79, 0.98]), and the mHealth with two home visits arm (PR: 0.88 [95% CI: 0.79, 0.98]) had significantly lower respiratory illness prevalence over the 12-month program period. Our findings demonstrate that the CHoBI7 mHealth program is effective in reducing respiratory illness among diarrhea patient households.

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