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Introduction of Microsystems in a Level 3 Neonatal Intensive Care Unit

NCT02912780 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2016-09-23

No results posted yet for this study

Summary

The advancement in life-saving technologies and clinical expertise in the care of extremely premature infants, have resulted in the development of large neonatal intensive care units (NICU). It has been suggested that reconstruction of megaunits of neonatal intensive care to smaller care units with specific patient population and clinical team providers will be essential to maintain optimal teamwork, quality of care and patient outcome.

Despite the growing knowledge around the need for reconstruction of large NICUs to smaller units of care, there is no evidence regarding the safety and efficacy of microsystem model of care on the key aspects of health care. At the McMaster Children's Hospital (MCH), we planned a change from standard model of care to the microsystem model of care and therefore we aimed to prospectively assess the effect of this organizational change on the variable aspects of health care.

A working group met weekly to formulate the implementation planning, to review the adaptation and adjustment process and to ascertain the quality of implementation following the initiation of the microsystem model.

The study was retrospectively registered.

Conditions

  • Stress, Psychological
  • Inflammatory Bowel Diseases
  • Lung Diseases
  • Infant Nutrition Disorders
  • Eye Manifestations
  • Neurodevelopmental Disorders

Sponsors & Collaborators

  • McMaster Children's Hospital

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2013-01-31
Primary Completion
2017-12-31
Completion
2017-12-31

Countries

  • Canada

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02912780 on ClinicalTrials.gov