Conditions for the Successful Integration of an eHealth Tool "StopBlues" Into Community-Based Interventions in France: Results From a Multiple Correspondence Analysis

Abstract

Background For over a decade, digital health has held promise for enabling broader access to health information, education, and services for the general population at a lower cost. However, recent studies have shown mixed results leading to a certain disappointment regarding the benefits of eHealth technologies. In this context, community-based health promotion represents an interesting and efficient conceptual framework that could help increase the adoption of digital health solutions and facilitate their evaluation. Objective To understand how the local implementation of the promotion of an eHealth tool, StopBlues (SB), aimed at preventing psychological distress and suicide, varied according to local contexts and if the implementation was related to the use of the tool. Methods The study was nested within a cluster-randomized controlled trial that was conducted to evaluate the effectiveness of the promotion, with before and after observation (NCT03565562). Data from questionnaires, observations, and institutional sources were collected in 27 localities where SB was implemented. A multiple correspondence analysis was performed to assess the relations between context, type of implementation and promotion, and use of the tool. Results Three distinct promotion patterns emerged according to the profiles of the localities that were associated with specific SB utilization rates. From highest to lowest utilization rates, they are listed as follows: the privileged urban localities, investing in health that implemented a high-intensity and digital promotion, demonstrating a greater capacity to take ownership of the project; the urban, but less privileged localities that, in spite of having relatively little experience in health policy implementation, managed to implement a traditional and high-intensity promotion; and the rural localities, with little experience in addressing health issues, that implemented low-intensity promotion but could not overcome the challenges associated with their local context. Conclusions These findings indicate the substantial influence of local context on the reception of digital tools. The urban and socioeconomic status profiles of the localities, along with their investment and pre-existing experience in health, appear to be critical for shaping the promotion and implementation of eHealth tools in terms of intensity and use of digital communication. The more digital channels used, the higher the utilization rates, ultimately leading to the overall success of the intervention. International Registered Report Identifier (IRRID) RR2-10.1186/s13063-020-04464-2

Defining the Characteristics of an e-Health Tool for Suicide Primary Prevention in the General Population: The StopBlues Case in France

“…First, it involves local actors in their own context, allowing them to use their own expertise and network. Moreover, by using local channels and collective experience, this approach can reach entire populations more efficiently [ 108 ]. Finally, it allows for aligning the promotion with individual characteristics, such as socioeconomic and environmental factors, key elements of mental health inequalities [ 108 , 109 , 110 ].…”

“…Moreover, by using local channels and collective experience, this approach can reach entire populations more efficiently [ 108 ]. Finally, it allows for aligning the promotion with individual characteristics, such as socioeconomic and environmental factors, key elements of mental health inequalities [ 108 , 109 , 110 ]. Nevertheless, reaching the entire target population remains difficult even with adapted tools, as local promotion, for example, will depend on local actors’ motivation and experience, and the allocated budget [ 108 ].…”

CEO monitoring and accounting record manipulation: Evidence from Slovak agriculture companies

“…To achieve our goal, we will also apply correspondence analysis, which will allow us to graphically change our outputs into a more legible and understandable format. D'Ambra et al ( 2022), Jadwal et al (2022), Turmaine et al (2022), Hsu et al (2022), andChampahom et al (2022) employed this analysis to compare and research numerous facts that occurred in the world. We were interested in the results of our study, so we decided to use correspondence analysis to make a graph of them.…”