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Data Collection III

Data Collection III

The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...

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Related Experiment Video

Updated: Apr 10, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

Developing an initial physical function item bank from existing sources.

Rita K Bode¹, David Cella, Jin-shei Lai

¹Center for Rehabilitation Outcomes Research, Rehabilitation Institute of Chicago, 345 East Superior Street, Chicago, IL 60611, USA. r-bode@northwestern.edu

Journal of Applied Measurement

|May 16, 2003

Summary

This summary is machine-generated.

This study demonstrates incremental item banking for health-related quality of life measures in cancer patients. It outlines key decisions and pre-calibration steps for developing item banks for computerized adaptive testing.

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Area of Science:

Health Outcomes Research
Psychometrics
Cancer Clinical Trials

Background:

Health-related quality of life (HRQOL) is crucial in cancer care.
Developing robust item banks for computerized adaptive testing (CAT) is essential for efficient data collection.
Existing item pools may require integration and refinement for CAT implementation.

Purpose of the Study:

To illustrate the process of incremental item banking using HRQOL data from cancer patients.
To detail the decision-making involved in creating an item bank for CAT.
To present practical pre-calibration and calibration procedures for item bank development.

Main Methods:

Utilized HRQOL data from two distinct patient samples undergoing cancer treatment.
Employed pre-calibration steps including common item identification, database merging, item scoring adjustments, and scale analysis.
Conducted iterative calibration processes, adding new items and removing misfitting ones to refine the item bank.

Main Results:

Successfully developed an initial item bank through incremental calibration.
Demonstrated the feasibility of integrating disparate item pools into a unified bank.
Identified and addressed challenges related to item properties and scale comparability.

Conclusions:

Incremental item banking is a viable strategy for developing CAT item pools, particularly with heterogeneous data sources.
Careful pre-calibration and iterative calibration are critical for building reliable and valid item banks.
This methodology supports the efficient and effective measurement of HRQOL in oncology populations.