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Using clinical data in program design: a family support program for families with preterm infants.
1Harvard Medical School, Boston, MA, USA.
Summary
Health maintenance organizations (HMOs) can analyze clinical data to understand the family impact of premature births. This analysis informs interventions for low birthweight infant consequences.
Area of Science:
- Healthcare Management
- Clinical Informatics
- Family Medicine
Background:
- Premature infant births present significant physical and emotional challenges for families.
- Health plans require effective methods to assess and address these challenges.
Purpose of the Study:
- To explore the utilization of clinical data for assessing the family impact of premature births.
- To guide health plans in developing targeted clinical intervention programs.
Main Methods:
- Utilizing clinical data from computerized medical records.
- Conducting provider and patient interviews.
- Examining the Harvard Pilgrim Health Care data collection process.
Main Results:
- Clinical data analysis can reveal the multifaceted impact of premature births on families.
- This data can inform the development of tailored intervention strategies.
- The Harvard Pilgrim Health Care experience demonstrates a practical approach to data collection for intervention design.
Conclusions:
- Computerized medical records and interviews are valuable tools for understanding the family impact of premature births.
- Data-driven insights are crucial for health plans to design effective interventions for low birthweight babies.
- The described data collection process offers a model for developing supportive clinical programs.