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Published on: March 21, 2019
Coordination and Pilot Implementation of a Standardized Data Collection for Touching Hands.
Kaitlyn Reasoner1, Diane Lee2, Claudia Davidson3
1Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, TN.
Touching Hands implemented a data collection system using Research electronic data capture (REDCap) to evaluate surgical missions. While the system showed promise, further optimization is needed for comprehensive data capture and analysis.
Area of Science:
- Global Health
- Surgical Outcomes Research
- Health Informatics
Background:
- Touching Hands provides essential hand surgeries to underserved global communities.
- Systematic data collection is crucial for evaluating program effectiveness and impact.
Purpose of the Study:
- To develop and implement a systematic data collection method for the Touching Hands program.
- To assess patient outcomes, volunteer impact, disease burden alleviation, and cost-effectiveness.
Main Methods:
- Utilized Research electronic data capture (REDCap) for secure data management.
- Employed the Quick Disabilities of the Arm, Shoulder and Hand (QuickDASH) questionnaire for patient-reported outcomes.
- Administered the Maslach Burnout Inventory-Human Services (Medical Personnel) survey to assess volunteer impact.
- Collected case information to calculate disability-adjusted life years (DALYs) and cost-effectiveness.
Main Results:
- The data collection system was implemented across 4 domestic and 3 international mission sites in 2020-2021.
- Initial implementation demonstrated the feasibility of using REDCap for data collection in diverse settings.
Conclusions:
- A REDCap database offers a viable platform for standardized and centralized patient and volunteer data collection for Touching Hands missions.
- Significant limitations necessitate further modification and optimization of the data collection framework for comprehensive evaluation.
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