Related Experiment Video
Updated: Jun 28, 2025

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
Validity evaluation of the Health Information Preferences Questionnaire among college students
Kaiqi Tang1,2, Junfeng Yuan1, Lin Luo1
1School of Physical Education, Guizhou Normal University, Guiyang, China.
Objective:
This study aims to explore the association between health information preferences and specific health behaviors and outcomes, such as preventive measures and chronic disease management among college students. It assesses how different levels of health information preference influence individuals' utilization, perception, and self-efficacy within healthcare and health information contexts. Given the rising prevalence of non-communicable chronic diseases among younger populations in China, this research seeks to understand how tailored health information preferences can support effective health education and behavioral interventions. The development of the Health Information Preference Questionnaire (HIPQ) aims to bridge the existing gap in tools for assessing health information preferences among Chinese college students, with a focus on collecting validity evidence to confirm the HIPQ's applicability in this group.
Methods:
The study employed a mixed-methods approach, beginning with an initial item pool derived from a comprehensive review of existing research tools, literature, and expert inputs. An expert review panel conducted item evaluations, leading to item reduction for clarity and relevance. The validation process utilized two independent samples of college students, detailing the sample size (n = 446 for preliminary testing, n = 1,593 for validation) and characteristics (age, major, urban vs. rural background) to enhance the understanding of the study's generalizability.
Results:
The HIPQ, comprising 25 items across five dimensions-prevention-oriented approaches, relationship with healthcare providers, self-efficacy in obtaining health information, perception of the importance of health information, and health information behavior-demonstrated excellent content validity (ICVI ranged from 0.72 to 0.86). Factor analysis confirmed significant loadings for each item across the anticipated factors, with fit indices (RMSEA = 0.065, CFI = 0.942) supporting good model fit. The HIPQ's reliability was underscored by Cronbach's alpha coefficients (>0.8) for each subscale, with significant correlations across all subscales, indicating strong internal consistency and construct validity.
Conclusion:
The HIPQ proves to be a reliable and valid instrument for assessing health information preferences among Chinese college students, highlighting its potential for broader application in health education and intervention strategies. Recognizing the study's focus on a specific demographic, future research should investigate the HIPQ's adaptability and utility in broader populations and different cultural settings. The study's limitations, including its concentrated demographic and context, invite further exploration into the HIPQ's applicability across diverse groups. Additionally, potential future research directions could include longitudinal studies to assess the impact of tailored health information on actual health outcomes and behaviors.
Related Concept Videos
Reliability and Validity
Surveys
Assessment of the Gastrointestinal System II: Health Perception Pattern
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
Assessment of the Cardiovascular System I: Subjective Data
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...

