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Using clinical data in program design: a family support program for families with preterm infants.

M Ladden1

  • 1Harvard Medical School, Boston, MA, USA.

Managed Care Quarterly
|February 1, 1997
PubMed
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.

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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:

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  • 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.