The purpose of this study is to achieve health and healthcare equity by implementing an equity-focused, mindfulness-based sleep intervention to reduce stress and sleep deficiency-related cardiometabolic disease burden in Black women.

In phases 1 and 2, the investigator will identify multi-level barriers and facilitators to implementing the online mindfulness-based therapy for insomnia (MBTI) through an equity lens using community-engaged research with key stakeholders. The investigators will then develop and refine equity-focused implementation strategies with the community advisory board, comprised of community-based organization members, African Methodist Episcopal Zion Church networks, clinicians, and community health workers (CHWs). In phase 3, the investigators will use a Hybrid Type 1 effectiveness/implementation design with a pragmatic randomized controlled trial with MBTI and a waitlist control in Black women with insomnia. Specialists will assess and address social needs of Black women, and registered nurses will deliver the online MBTI intervention in the community settings. The focus of this registration is phase 3.

The study will contribute to equity-focused implementation science and policy decisions by providing multi-level implementation determinants, equity-relevant metrics, and contextual factors through community-engaged research and evaluation of the outcomes.

Inclusion Criteria:

• self-identified Black women
• English speaking
• meet ICSD3 diagnostic criteria for insomnia disorders, defined as difficulty initiating or maintaining sleep that occurs despite adequate opportunity to sleep with at least one associated daytime impairment symptom (ISI > 7)
• additional quantitative insomnia criteria based on research recommendations and the new ICSD3: (a) severity of sleep onset latency or wake time after sleep onset of ≥31 min, (b) occurring ≥3 nights a week, and (c) for ≥ 3 months.

Exclusion Criteria:

• Psychosis or unstable/significant depression, anxiety, or substance abuse under active care (more than 1 monthly mental healthcare visit or requiring more than 1 psychotropic medicine daily)
• significant current practice of any form of meditation (>15min per day)
• obstructive sleep apnea (OSA), restless legs syndrome (RLS), or circadian rhythm related condition (shift worker, use of medication that influence circadian rhythm, e.g., Parkinson's disease)
• active or terminal cancer.

Investigators will publish a number of manuscripts related to the methods, implementation process, and the trial analyses planned for the project. These will be published in a timely fashion as soon as data can be shared. Investigators plan to widely disseminate the findings of this project to the scientific community by presenting the findings at numerous scientific meetings and will make these slide presentations available to the research community. Investigators will also disseminate our scientific products in lay formats (e.g., research briefs, infographics) through our Expert Advisory Board and community partners. Investigators plan to make available the cleaned and completely de-identified datasets and PDF versions of our research forms and research protocol.

Data will be available as soon as the trial ends and until 6 years after the completion of the trial

A data sharing agreement will be required for release of any data. Individuals requesting a copy of study data will need to submit a detailed research plan that includes the purpose of the proposed research, the variables required, the duration of the analysis phase, IRB approval, investigator training in human subjects and other approvals specific to the individual datasets. They will also be required to submit a Data Protection Plan or Institutional Privacy Policy, describing the computing environment in which data will be managed and analyzed and how physical access to computing equipment will be controlled. Data will only be released once all IRB approvals and Human Subjects concerns have been addressed. Data collection instruments, codebooks, and other data documentation will be made available in conjunction with this dataset in a standard format that is readable across a variety of applications and operating system platforms.