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Updated: Jul 15, 2026

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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Public health nursing data. Building the knowledge base for high-risk prenatal clients
B J Hays1, K L Kaiser, C E McMahon
1University of Nebraska Medical Center College of Nursing 68198-5330, USA. bhays@unmc.edu
MCN. the American Journal of Maternal Child Nursing
|May 16, 2000
Summary
Public health nurses
Area of Science:
- Nursing Research
- Public Health
- Maternal Health
Background:
- High-risk prenatal clients require specialized care.
- Public health nurses play a crucial role in managing these cases.
- Standardized assessment tools are essential for effective interventions.
Purpose of the Study:
- To compare referral reasons for high-risk prenatal clients.
- To analyze clinical pathway variances in prenatal care.
- To assess the intensity of care needs using the Community Health Intensity Rating Scale (CHIRS).
Main Methods:
- Prospective, descriptive pilot study design.
- Data collected from clinical records of 20 high-risk prenatal clients.
- Assessment at 28 and 38 weeks gestation by expert public health nurses.
Main Results:
- Referral reasons, pathway variances, and CHIRS scores provided congruent, yet distinct, data.
- Each data source offered unique elements for intervention planning.
- Public health nurses' interventions were informed by combined data.
Conclusions:
- Collaborative research advances evidence-based practice in clinical settings.
- Congruence between clinical path variance and CHIRS scores highlights health behavior intervention importance.
- Public health nursing practice is significantly enhanced by integrated assessment data.
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Data Collection I
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Data Collection II
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
Data Validation
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
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Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
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