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Comprehensive Assessment for Client's Health Database

This chapter covers the purpose of assessment in establishing a comprehensive database for the client's physical, psychosocial, and emotional health. It discusses the various types of assessment, data collection methods, and data verification, organization, interpretation, and documentation.

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Comprehensive Assessment for Client's Health Database

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  1. Chapter 6 Assessment

  2. Purpose of Assessment • Establish database concerning client’s physical, psychosocial, and emotional health • Identify: • Health-promoting behaviors • Actual or potential health problems (continued)

  3. Purpose of Assessment • Data • Collection • Verification • Organization • Interpretation • Documentation

  4. Types of Assessment • Comprehensive • Focused • Ongoing

  5. Data Collection • Types of data: • Subjective • Objective (continued)

  6. Data Collection • Sources of data • Client • Family and significant others • Other health care professionals • Medical records • Interdisciplinary activities • Diagnostic tests • Literature

  7. Methods of Data Collection • Observation • Interview • Preparation • Stages • Introduction • Working • Closure • Health history • Physical examination • Laboratory and diagnostic data

  8. Health History • Demographics • Reason for seeking health care • Perception of health status • Previous illnesses, hospitalizations, and surgeries • Client and family medical history (continued)

  9. Health History • Immunizations and exposure to communicable diseases • Allergies • Current medications • Developmental level (continued)

  10. Health History • Psychosocial history • Sociocultural history • Activities of daily living (ADLs) • Review of systems

  11. Physical Examination • Purposes: • Make direct observations • Validate subjective data (continued)

  12. Physical Examination • Assessment techniques: • Inspection • Palpation • Percussion • Auscultation • Laboratory and diagnostic data

  13. Data Verification • Process by which data validated as complete and accurate • Examination of congruence between subjective and objective data • Findings should be compared with norms

  14. Data Organization • Data clustering • Follows data collection and validation • Groups information together • Identifies strengths and weaknesses • How data clustered depends on assessment model used

  15. Assessment Models • Nursing models: • Functional health patterns • Human response pattern • Theory of self-care • Roy adaptation model (continued)

  16. Assessment Models • Non-nursing models: • Body systems model • Hierarchy of needs

  17. Data Interpretation • Examine information • Make information meaningful • Correctly determine client problems

  18. Data Documentation • Types of assessment formats: • Open-ended • Checklist • Combination • Specialty • Minimum data set (MDS)

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