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Design Example: Vintage Mixing Console01:17

Design Example: Vintage Mixing Console

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A sound engineer at a music company recently encountered a problem. The output from their newly acquired studio's vintage mixing console was too low for the requirements of modern recording equipment. To rectify this situation, the engineer decided to design an audio pre-amplifier using an operational amplifier (op-amp) to boost the signal level.
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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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Designing mHealth Apps for Substance Use Recovery Through Real-World Co-Design and Deployment: Mixed Methods Study.

Teale Masrani1, David C Hodgins2,3, Hyoun S Kim2,4

  • 1Department of Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada.

JMIR Mhealth and Uhealth
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Summary
This summary is machine-generated.

Co-designing mobile health (mHealth) apps for substance use disorder recovery can improve engagement. Flexible, personalized app designs are key for user retention and supporting diverse recovery needs.

Keywords:
co-designdigital healthmHealthsmartphone applicationsubstance use disorder

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Area of Science:

  • Digital health interventions
  • Substance use disorder recovery
  • Human-computer interaction

Background:

  • Mobile health (mHealth) apps show potential for supporting substance use disorder (SUD) recovery.
  • However, conclusive evidence on engagement and efficacy remains limited.

Purpose of the Study:

  • To identify design considerations for optimizing engagement in mHealth apps for individuals in recovery from problematic substance use.
  • To analyze real-world experiences with co-designed app features.

Main Methods:

  • Co-design, deployment, and evaluation of an mHealth app.
  • Initial interviews with 14 individuals in recovery informed 3 new features.
  • A 6-week trial with 53 participants, followed by interviews with 12 users.

Main Results:

  • Three features were developed: goal-setting, craving tracker, and meetings log.
  • 45.3% of users actively engaged, with a 30-day retention rate of 45.8% for active users, exceeding benchmarks.
  • Users desired broader functionality beyond SUD, including journaling and community features, and preferred customizable autonomy levels.

Conclusions:

  • Iterative co-design is valuable for optimizing engagement in digital health and recovery apps.
  • Flexible app designs with customizable user autonomy benefit recovery.
  • Personalized mHealth designs balancing system and user control enhance digital recovery pathways.