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Data needs and models for the opioid epidemic.

Carlos Blanco1, Melanie M Wall2, Mark Olfson2

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Improving opioid overdose surveillance is crucial. Current data quality and timeliness hinder effective prevention and treatment strategies, necessitating a user-centered approach with new technologies.

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Area of Science:

  • Public Health Surveillance
  • Epidemiology
  • Health Services Research

Background:

  • The opioid epidemic's evolution and rising overdose deaths demand better surveillance data.
  • Current US surveillance data quality and timeliness are insufficient for data-driven public health interventions.
  • Existing data limitations impede the effective implementation of services, treatments, and prevention strategies.

Purpose of the Study:

  • To review current information needs in opioid epidemic surveillance.
  • To summarize limitations of existing US surveillance data.
  • To propose complementary resources and promising approaches for improved, user-centered surveillance.

Main Methods:

  • Literature review of current information needs and data limitations.
  • Analysis of existing surveillance data quality and timeliness issues.
  • Proposal of complementary surveillance resources and innovative data collection methods.

Main Results:

  • Existing surveillance data often lacks the quality and timeliness required for effective public health action.
  • A fundamental shift towards a user-centered approach is needed, prioritizing needs of diverse end-users.
  • Promising avenues include simulations, distributed networks, alternative data sources (wastewater, digital), and blockchain technology.

Conclusions:

  • An improved surveillance system must focus on end-user needs, including public health leaders, policymakers, and healthcare systems.
  • Prioritizing data timeliness, representativeness, linkage, and flexibility is essential for adapting to evolving epidemics.
  • Investments in new infrastructure and technologies are necessary to create a more responsive and user-centered surveillance system.