Related Experiment Videos
Data-gathering tools for "real world" clinical settings: a multisite feasibility study
P S Jensen1, R A Irwin, A M Josephson
1Child and Adolescent Disorders Research Branch, NIMH, Rockville, MD 20857, USA.
Summary
A new clinician-friendly questionnaire reliably gathered mental health data from over 1,900 children across diverse settings. This standardized approach is feasible for understanding child mental health needs in real-world clinical practice.
Area of Science:
- Child and Adolescent Psychiatry
- Clinical Psychology
- Health Services Research
Background:
- Assessing child and family mental health needs in real-world clinical settings requires easily implementable data-gathering strategies.
- Existing methods may not be suitable for diverse clinical environments.
Purpose of the Study:
- To develop and pilot a clinician-friendly questionnaire for routine data collection in child mental health settings.
- To evaluate the feasibility and utility of standardized data gathering for understanding child mental health needs.
Main Methods:
- A questionnaire collecting demographic, psychosocial, medical, and family history data was developed.
- Optical scanning technology was used to encode data from over 1,900 children across military, civilian psychiatric, pediatric, and community samples.
- Data were collected from four military child psychiatry clinics, a civilian psychiatric state hospital, pediatric patients, and a community sample.
Main Results:
- Clinical data were reliably obtained across multiple geographic and logistic settings.
- Meaningful differences were identified across samples in presenting complaints and psychosocial/demographic variables.
- The collected data demonstrated high accuracy and completeness despite challenges.
Conclusions:
- Standardized data-gathering approaches are important and feasible in routine clinical settings.
- These tools offer opportunities and highlight potential hazards in research.
- The questionnaire shows significant merit and warrants further implementation and testing.