Definition |
Prospective observational studies that use acupuncture as the primary intervention and collect data uniformly to evaluate clinical efficacy and cost-effectiveness, describe the application of acupuncture therapy, monitor the safety of acupuncture therapy, evaluate the quality of acupuncturists, or conduct epidemiological disease investigation. |
Organized system that collects uniform data (clinical and other) to identify specified outcomes for a population defined by a particular disease, condition, or exposure. |
Objective |
Primary purposes include assessing the clinical efficacy and cost-effectiveness of acupuncture, describing the application of acupuncture techniques, monitoring treatment safety, and evaluating the quality of acupuncturists. |
Registry purposes can be broadly described in terms of patient outcomes. Major purposes include describing the natural history of disease, determining clinical and/or cost-effectiveness, and assessing safety or harm. |
Patient enrollment |
As determined by the study objectives, enrolled patients with a disease/certain symptom or a condition who have had acupuncture therapy from an acupuncturist or other acupoint stimulation interventions; generalisability of the acupuncture data and study results to be documented. |
Aimed at enrollment of all patients with a disease or condition; generalisability of registry data to be documented. |
Follow-up |
Timelines are determined by the specific study objectives as well as the collection/extraction and processing of important study data. |
Schedules drive timeliness for data collection and any anticipated data analyses which prompted the registry. |
Data collection |
Data is collected based on the objective of the registry study. A core set of data elements to be collected is agreed upon, and their definitions, coding systems, and data entry procedures are written down. Data collected for the purpose of a registry study can involve the primary collection of data or the secondary use of data. |
Data quality management |
Study-specific data quality management will be defined in advance and executed using a risk-based approach, with a focus on regular surveillance and inspection of registered data. |
Quality management is applied consistently to data and processes, with an emphasis on a core set of data elements; data quality management is specified and documented in advance. |
Data management systems to ensure data integrity, completeness, and security |
Analysis plan |
Most of the time, detailed statistical considerations are written in a document separate from the study and registry protocols. This document is called a descriptive or hypothesis-driven statistical analysis plan. |
Plan for statistical analysis, with analyses often done regularly at regular intervals based on patient accrual or analyses of predefined outcomes at time points described in the registry protocol. |