Apps Like Continuing Care for iPhone and iPad
Continuing Care screenshots
Ranked alternatives
Showing 321–340 of 1,000 ranked alternatives.

Chemistry AI·
App Crab OOO
Solve tasks offline
Solve problems by entering given and find parameters. Provides step-by-step explanations and answers. Supports tasks involving formulas, solutions, mixtures, reaction equations, and excess/lack calculations. Finds reaction equations based on input.




Second Sponsor
Second Sponsor LLC
Track progress and share reflections
Daily emotional check-ins help users track mood and progress. Simple meeting tracker logs sobriety milestones. 12-step progress monitoring shows completion status. Concise reflections on triggers, gratitude, and personal insights are recorded.

Rave eConsent
Medidata Solutions, Inc.
View research details and consent forms
Participants review interactive content explaining trial risks and benefits. They complete comprehension checks and provide electronic consent. The tracks engagement metrics and records voluntary participation decisions.


MoodLinks for Clinicians
Recovery Record, Inc
Track progress and manage mental health
Track mood and symptoms daily with journaling and rating tools. Set reminders for medication and appointments. Share progress reports with healthcare providers. Access guided breathing exercises and relaxation techniques.






Drug Addiction: Alcoholics & Narcotics Companion
Michael Quach
Information on drug abuse and addiction.
The app discusses topics including alcohol, marijuana, cocaine, and methamphetamine. It is intended for medical professionals, students, and the general public seeking information on drug abuse and addiction.


Talk. They Hear You. Campaign
Substance Abuse & Mental Health Services Administration
Talk about alcohol and drugs
Helps parents and caregivers prepare for conversations about alcohol and other drugs. Provides scenarios, conversation starters, and guidance. Tracks progress and offers resources for ongoing discussions.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.