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Related Concept Videos

Nursing Evaluation01:15

Nursing Evaluation

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.
Section...
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation01:20

Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation

Evaluation of the teaching process enables the nurse to determine if the patient's learning needs were met and if training was effective. If the expected outcomes are not met, the care plan is revised, and additional education or reinforcement is provided. Nurses can ask questions after the session or obtain feedback to assess the patient's understanding of the topic.
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning, patient...
Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation01:24

Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation

Planning for learning involves the development of a teaching plan. Teaching plans are similar to nursing care plans—both follow the steps of the nursing process. Planning in the teaching process involves setting goals and outcomes. Here, goals identify what a patient needs to achieve to understand a healthcare topic better, whereas the outcomes are the action to be performed by the patient to achieve the goal within a timeframe. For example, if the goal is to educate the patient about insulin...
Role of Communication in the Nursing Process III: Evaluation and Documentation01:08

Role of Communication in the Nursing Process III: Evaluation and Documentation

A successful patient outcome depends mainly on the evaluation stage of the nursing process. Evaluation determines effectiveness by reviewing what was done previously after the completion of nursing interventions. Every time a healthcare professional steps in or administers treatment, they must reassess or evaluate the action to ensure the intended result. During the evaluation phase, there are three probable patient outcomes:
Current Trends in Nursing II01:30

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
Nursing Implementation01:15

Nursing Implementation

Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.

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Related Experiment Video

Updated: Jun 15, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

Innovative strategies for nursing education program evaluation.

Lachel Story1, Janie B Butts, Sandra B Bishop

  • 1University of Southern Mississippi, Hattiesburg, MS 39406-0001, USA. lachel.story@usm.edu

The Journal of Nursing Education
|March 10, 2010
PubMed
Summary
This summary is machine-generated.

Nursing program evaluation faced data retrieval challenges. Technological approaches engaging alumni improved data collection efficiency and quality, despite potential sampling bias.

Related Experiment Videos

Last Updated: Jun 15, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

Area of Science:

  • Nursing Education
  • Program Evaluation
  • Higher Education Administration

Background:

  • Accreditation bodies mandate data reporting for nursing program quality and outcomes.
  • A southern US school of nursing encountered significant roadblocks in retrieving essential program evaluation data.
  • Traditional methods proved insufficient for effective data acquisition.

Purpose of the Study:

  • To identify and implement creative technological solutions to overcome barriers in nursing program evaluation data retrieval.
  • To enhance the engagement of alumni in the program evaluation process through modern technological means.
  • To assess the advantages and disadvantages of technology-based approaches for collecting program outcome data.

Main Methods:

  • Adoption of technology-based strategies to engage alumni in data submission.
  • Utilizing digital platforms for convenient administration and analysis of collected information.
  • Comparative analysis of traditional versus technology-enhanced data collection methods.

Main Results:

  • Technological approaches facilitated more convenient, cost-effective, and efficient data collection and analysis.
  • Alumni engagement and data quality were significantly improved through technology adoption.
  • Key advantages included ease of use, enhanced data meaningfulness, and reduced administrative burden.
  • Potential sampling bias was identified as the primary disadvantage.

Conclusions:

  • Creative, technology-driven strategies effectively address challenges in nursing program evaluation data retrieval.
  • Engaging tech-savvy alumni through modern platforms yields superior data collection outcomes.
  • While effective, careful consideration of potential sampling bias is necessary when implementing these innovative methods.