Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Patient Adherence to Acupuncture Treatment

University of Southern California · 2017
ClinicalTrials.gov · Datasets · License: Public Domain · 2017
Open Source ↗
adherencepatient
Adherence to treatment recommendation remains low among acupuncture patients. This study aims to examine whether implementing a post-initial visit follow-up strategy can improve adherence rate. Adult patients visiting the acupuncture clinic for a new treatment will be randomized to receive a telephone call or a text-message three days after their initial visit against a control group. We will enroll up to 160 participants between February and December 2017, to ensure we can reach 120 subjects in the analysis who completed the baseline survey. Participants recruitment will take place at the Emperor's College of Traditional Oriental Medicine Acupuncture Clinic. Assessments will be conducted via surveys at four times points, Day 0 (date of enrollment), Day 3, Day 10 and Day 30. Additional data will also be collected via chart review. Primary outcome will be assessing whether participants return for any follow-up visit within 30 days after the initial treatment. Secondary outcomes will examine if factors such as expectations, intention, satisfaction, and potential barriers would predict the primary outcome.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1150466
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive