Discoveries on a data-mining expedition: single session social work in hospitals

Area of Science:

• Social Work Research
• Health Informatics
• Organizational Data Analysis

Background:

• Practice-based research in social work often faces challenges in data accessibility.
• Existing organizational data systems hold potential for informing social work practice and knowledge building.
• Understanding the specifics of social work interventions, like single session work, is crucial for service improvement.

Purpose of the Study:

• To investigate the nature and extent of single session social work in hospitals.
• To demonstrate how data-mining of hospital patient data systems can enhance social work research.
• To generate descriptive statistics on single session social work activities in a regional Australian hospital setting.

Main Methods:

• Utilized data-mining techniques on a hospital patient data system.
• Accessed extensive organizational data from nine regional Australian hospitals.
• Employed a consultative and collaborative approach for data analysis and interpretation.

Main Results:

• Generated descriptive statistics on the level, purpose, location, and activities of single session social work.
• Identified patterns and characteristics of single session social work within the studied hospital settings.
• Highlighted the effectiveness of data-mining in answering specific social work practice questions.

Conclusions:

• Data-mining of hospital patient data systems is a valuable method for social work research.
• This approach can provide crucial descriptive statistics to inform social work practice and build knowledge.
• Collaborative processes are essential for successful data-mining outcomes in social work research.