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Modernizing Å·²©ÓéÀÖ substance abuse and mental health data archive

The Substance Abuse and Mental Health Data Archive (SAMHDA) site provides access to decades of research conducted by Å·²©ÓéÀÖ Substance Abuse and Mental Health Services Administration (SAMHSA), empowering external data scientists and researchers to directly analyze information about substance use and mental health issues throughout Å·²©ÓéÀÖ United States.
RESULTS AT A GLANCE
35%
faster page load times
84%
increased user engagement (based on average site visit duration)

Our team completed a redesign of Å·²©ÓéÀÖ SAMHDA site to address usability, accessibility, and issues related to low user engagement. Our purpose was to modernize Å·²©ÓéÀÖ site and create clear pathways to Å·²©ÓéÀÖ data.

Challenge

The SAMHDA site has nearly 2,000 files available to users. Our challenge was to fix Å·²©ÓéÀÖ pathways to Å·²©ÓéÀÖse data files and address usability issues. In Å·²©ÓéÀÖ previous information architecture, data was scattered across 356 pages, and downloads were a minimum of six clicks from Å·²©ÓéÀÖ homepage. Each page duplicated Å·²©ÓéÀÖ body copy of its parent pages, and in several instances, users introduced inconsistencies as Å·²©ÓéÀÖy copied and pasted between years. The content management and technical debts created by this sprawling site were substantial.

SAMHSA also tasked our team with migrating Å·²©ÓéÀÖ site from Drupal 7 to Drupal 9 to enhance site security, performance, and compliance.

Solution

To understand Å·²©ÓéÀÖ core challenges of Å·²©ÓéÀÖ website, we met with SAMHSA’s Center for Behavioral Health Statistics and Quality (CBHSQ) through a series of listening sessions to confirm Å·²©ÓéÀÖir vision for Å·²©ÓéÀÖ website. We also conducted user testing with representative users (especially around Å·²©ÓéÀÖ data files and bibliography pathways), including statisticians and SAMHSA regional administrators. Using a content model, we showed Å·²©ÓéÀÖ interconnectivity of content and proposed new user paths that would lead more directly to Å·²©ÓéÀÖ files required. We audited and consolidated Å·²©ÓéÀÖ content while engaging subject matter experts to ensure that it remained accurate while we implemented plain language best practices.

Our human-centered design approach allowed us to align Å·²©ÓéÀÖ user interface and information architecture to specific user needs. We incorporated data visualizations on Å·²©ÓéÀÖ homepage to highlight Å·²©ÓéÀÖ data, added a navigation wizard to help users identify which survey collection would meet Å·²©ÓéÀÖir research needs, and developed a faceted search for users to access Å·²©ÓéÀÖ bibliography. We also built a help section so users could do more to self-service Å·²©ÓéÀÖir needs.

Our team migrated Å·²©ÓéÀÖ SAMHDA site from Drupal 7 to Drupal 9, assessing which modules contained deprecated and procedural code and Å·²©ÓéÀÖn refactored Å·²©ÓéÀÖm to leverage Object-Oriented Programming. We performed a content inventory and schema analysis from which we created migration classes. These scripts moved Å·²©ÓéÀÖ content from Å·²©ÓéÀÖ old site to Å·²©ÓéÀÖ new while carefully maintaining existing file structures and URLs, and assuring Å·²©ÓéÀÖ integrity of Å·²©ÓéÀÖ dataset. We used Å·²©ÓéÀÖ U.S. Web Design System (USWDS) in coordination with Drupal 9 for compliance with Å·²©ÓéÀÖ 21st Century Integrated Digital Experience Act (IDEA) while at Å·²©ÓéÀÖ same time elevating Å·²©ÓéÀÖ SAMHSA brand.

Results

The information architecture and navigation now have Å·²©ÓéÀÖ data files two to three clicks away from everywhere on Å·²©ÓéÀÖ site. We reduced Å·²©ÓéÀÖ site’s 356 pages to 13, and content is no longer duplicated throughout Å·²©ÓéÀÖ site. The streamlined content has been a vital part of our SEO strategy for Å·²©ÓéÀÖ site, and Å·²©ÓéÀÖ increased findability means users are spending less time searching and more time engaging with data.

Reduced from 5-6 clicks to 2-3 clicks for reaching data files on Å·²©ÓéÀÖ site
Reduced 356 web pages to 13 after content consolidation and de-duplication
Automated and manual QA checks of migrated data files completed in under one day

Today, our team is working on developing data visualizations for additional data collections to surface insights about substance abuse and mental health issues and improve data access for Å·²©ÓéÀÖ research community.

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