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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.
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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.
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Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
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Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
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Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
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Designing and implementing an evaluation of a national work support program.

Irene Y H Ng1, Kong Weng Ho, Tharmalingam Nesamani

  • 1Department of Social Work, National University of Singapore, Singapore, 117570, Singapore.

Evaluation and Program Planning
|November 8, 2011
PubMed
Summary
This summary is machine-generated.

This study details the development of a rigorous evaluation for Singapore's Work Support Program. Lessons learned offer insights for future welfare-to-work research and policy implementation.

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Area of Science:

  • Social Sciences
  • Public Policy
  • Economics

Background:

  • Global trend towards conditional cash transfers for welfare recipients.
  • Lack of micro-level evaluations for welfare-to-work policies in Singapore.
  • Introduction of the Work Support Program by the Ministry of Community Development, Youth and Sports in 2006.

Purpose of the Study:

  • To describe the process of developing a large experimental evaluation for Singapore's Work Support Program.
  • To share lessons learned from planning and implementing rigorous research in a setting with limited research capacity.
  • To provide guidance for future researchers conducting long-term evaluations.

Main Methods:

  • Development of a large-scale experimental evaluation design.
  • Focus on essential research components and adaptation of instruments.
  • Collaborative strategies for research implementation.

Main Results:

  • The article focuses on the *process* of evaluation development, not empirical results.
  • Identified challenges in implementing rigorous research with collaborators lacking experience.
  • Developed strategies for effective collaboration and adaptation of research tools.

Conclusions:

  • Rigorous evaluations of welfare-to-work programs are crucial for policy effectiveness.
  • Planning and implementation require adaptive strategies, effective collaboration, and cultural sensitivity.
  • Lessons learned can inform future research design and execution in similar contexts.