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Related Concept Videos

Data Validation01:03

Data Validation

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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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Guidelines for Writing Outcome01:11

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When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
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Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

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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.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
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Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

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A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
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Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

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Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
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Nursing Evaluation01:15

Nursing Evaluation

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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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Development of Quality Indicators for Pregnancy Care of People With Disabilities Using a RAND-Modified Delphi Method.

Kyara J Liu1, Evelina Pituch2, Kathryn Barrett3

  • 1Dalla Lana School of Public Health, University of Toronto, Toronto, ON.

Journal of Obstetrics and Gynaecology Canada : JOGC = Journal D'Obstetrique Et Gynecologie Du Canada : JOGC
|September 12, 2025
PubMed
Summary
This summary is machine-generated.

This study developed 54 quality indicators (QIs) to improve pregnancy care for people with disabilities. These indicators cover structural, clinical, and interpersonal aspects of care, enhancing healthcare quality.

Keywords:
health carepersons with disabilitiespregnancyquality indicatorsquality of health care

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Area of Science:

  • Healthcare Quality Improvement
  • Disability Studies
  • Maternal Health

Background:

  • Quality of pregnancy care for people with disabilities requires improvement.
  • Existing indicators may not adequately address the unique needs of this population.

Purpose of the Study:

  • To develop and validate quality indicators (QIs) for pregnancy care tailored to people with disabilities.

Main Methods:

  • A scoping review identified candidate QIs from 98 studies.
  • A RAND-modified Delphi method with 17 healthcare providers and 10 individuals with disabilities was used for validation.
  • Three rounds of surveys and focus groups refined and selected QIs based on importance and feasibility.

Main Results:

  • 44 candidate QIs were developed from the literature review.
  • A final list of 54 QIs was established, with 43 achieving consensus on feasibility.
  • Consensus on importance was reached for all QIs, with 10 new indicators added and 5 revised.

Conclusions:

  • The developed QIs provide a framework for optimizing pregnancy care for people with disabilities.
  • These indicators can guide healthcare providers, administrators, and policymakers in enhancing care quality.
  • Implementation of these QIs can lead to better health outcomes for birthing people with disabilities.