The Application and Evaluation of eHealth Literacy (eHL) Concept

NCT05180604 | Completed

• 1 other identifier: MOST-107-2314-B-010-014-MY3
• Study Type: interventional
• Target: 92
• Locations: 1 country
• Sites: 1

Brief Summary

This study aims to explore the effectiveness of experience learning program of eHealth care to improve the chronic patients' eHL in engaging with the eHealth care system on the indicators on eHealth literacy, patient health engagement, e-Health usage status among Chronic disease patients included type 2 diabetes patients, Chronic kidney disease, and Cardiovascular Diseases.

Conditions

Type 2 Diabetes Mellitus; Chronic Kidney Diseases; Cardiovascular Diseases

Keywords

Chronic disease; eHealth literacy; patient engagement; experience learning theory; Self-management; empowerment; eHealth care

Outcome Measures

Primary Outcomes (16)

• Baseline of eHealth Literacy Questionnaire scores

  Evaluate the patient's eHL level, including 7 dimensions (1) Using technology to process health information, (2) Understanding of health concepts and languages, (3)Ability to actively engage with digital service, (4)Feel safe and in control, (5) Motivated to engage with digital service, (6) Access to digital services that work (7)Digital services that suit individual. The higher the score, the better the eHL.

  The pretest is completed when the patients agrees to join the intervention.

• The eHealth Literacy Questionnaire scores at the end of intervention

  Evaluate the patient's eHL level, including 7 dimensions (1) Using technology to process health information, (2) Understanding of health concepts and languages, (3)Ability to actively engage with digital service, (4)Feel safe and in control, (5) Motivated to engage with digital service, (6) Access to digital services that work (7)Digital services that suit individual. The higher the score, the better the eHL.

  The post-test 1 is completed at the end of the 6 weeks intervention

• The eHealth Literacy Questionnaire scores after intervention at 3 months

  Evaluate the patient's eHL level, including 7 dimensions (1) Using technology to process health information, (2) Understanding of health concepts and languages, (3)Ability to actively engage with digital service, (4)Feel safe and in control, (5) Motivated to engage with digital service, (6) Access to digital services that work (7)Digital services that suit individual. The higher the score, the better the eHL.

  The post-test 2 is completed after intervention at 3 months

• The eHealth Literacy Questionnaire scores after intervention at 6 months

  Evaluate the patient's eHL level, including 7 dimensions (1) Using technology to process health information, (2) Understanding of health concepts and languages, (3)Ability to actively engage with digital service, (4)Feel safe and in control, (5) Motivated to engage with digital service, (6) Access to digital services that work (7)Digital services that suit individual. The higher the score, the better the eHL.

  The post-test 3 is completed after intervention at 6 months

• Baseline of The acceptance of eHealth care scores

  The scale was developed base on Technology Acceptance Model to assess patients' behaviors intention of using the eHealth device

  The pretest is completed when the patients agrees to join the intervention.

• The acceptance of eHealth care scores at the end of intervention

  The scale was developed base on Technology Acceptance Model to assess patients' behaviors intention of using the eHealth device

  The post-test 1 is completed at the end of the 6 weeks intervention

• The acceptance of eHealth care scores after intervention at 3 months

  The scale was developed base on Technology Acceptance Model to assess patients' behaviors intention of using the eHealth device

  The post-test 2 is completed after intervention at 3 months

• The acceptance of eHealth care scores after intervention at 6 months

  The scale was developed base on Technology Acceptance Model to assess patients' behaviors intention of using the eHealth device

  The post-test 3 is completed after intervention at 6 months

• Baseline of Health Technology Usage Sore

  Use self-developed structured questionnaires to investigate the types of health technology use and monitoring items. Use types include computer or network systems, mobile apps, health monitoring systems or wearable devices (such as pedometers, smart bracelets, heart rate monitors, blood pressure monitors, Blood glucose meter, blood pressure meter, blood glucose meter or weight scale, etc.) or other, monitoring items include blood pressure, blood sugar, weight, diet, sleep, heart rate, steps or other health data. The higher the number, the more items are monitored, the total score The higher the level, the better the use of health technology.

  The pretest is completed when the patients agrees to join the intervention.

• The Health Technology Usage Sore at the end of intervention

  Use self-developed structured questionnaires to investigate the types of health technology use and monitoring items. Use types include computer or network systems, mobile apps, health monitoring systems or wearable devices (such as pedometers, smart bracelets, heart rate monitors, blood pressure monitors, Blood glucose meter, blood pressure meter, blood glucose meter or weight scale, etc.) or other, monitoring items include blood pressure, blood sugar, weight, diet, sleep, heart rate, steps or other health data. The higher the number, the more items are monitored, the total score The higher the level, the better the use of health technology.

  The post-test 1 is completed at the end of the 6 weeks intervention

• The Health Technology Usage Sore after intervention at 3 months

  Use self-developed structured questionnaires to investigate the types of health technology use and monitoring items. Use types include computer or network systems, mobile apps, health monitoring systems or wearable devices (such as pedometers, smart bracelets, heart rate monitors, blood pressure monitors, Blood glucose meter, blood pressure meter, blood glucose meter or weight scale, etc.) or other, monitoring items include blood pressure, blood sugar, weight, diet, sleep, heart rate, steps or other health data. The higher the number, the more items are monitored, the total score The higher the level, the better the use of health technology.

  The post-test 2 is completed after intervention at 3 months

• The Health Technology Usage Sore after intervention at 6 months

  Use self-developed structured questionnaires to investigate the types of health technology use and monitoring items. Use types include computer or network systems, mobile apps, health monitoring systems or wearable devices (such as pedometers, smart bracelets, heart rate monitors, blood pressure monitors, Blood glucose meter, blood pressure meter, blood glucose meter or weight scale, etc.) or other, monitoring items include blood pressure, blood sugar, weight, diet, sleep, heart rate, steps or other health data. The higher the number, the more items are monitored, the total score The higher the level, the better the use of health technology.

  The post-test 3 is completed after intervention at 6 months

• Baseline of Patient Health Engagement score

  The scale is thought of as a self-administering tool by the patient in order to diagnose his/ her This scale has a total of 5 questions. The higher the number, the higher the patient engagement it is.

  The pretest is completed when the patients agrees to join the intervention.

• The Patient Health Engagement score at the end of the intervention

  The scale is thought of as a self-administering tool by the patient in order to diagnose his/ her This scale has a total of 5 questions. The higher the number, the higher the patient engagement it is.

  The post-test 1 is completed at the end of the 6 weeks intervention

• The Patient Health Engagement score after intervention at 3 months

  The scale is thought of as a self-administering tool by the patient in order to diagnose his/ her This scale has a total of 5 questions. The higher the number, the higher the patient engagement it is.

  The post-test 2 is completed after intervention at 3 months

• The Patient Health Engagement score after intervention at 6 months

  The scale is thought of as a self-administering tool by the patient in order to diagnose his/ her This scale has a total of 5 questions. The higher the number, the higher the patient engagement it is.

  The post-test 3 is completed after intervention at 6 months

Secondary Outcomes (8)

• The change in renal function level at the end of the intervention

  To collect two-time point data by chart review. Those were before the intervention and the end of the the 6 weeks intervention

• The change Trajectory of renal function level from baseline to after intervention at 6 months and 1 year

  To collect three-time point data by chart review. Those were before the intervention, the end of the 6 weeks intervention, and after intervention at six months and 1 year

• The change in HbA1C level at the end of the intervention

  To collect two-time point data by chart review. Those were before the intervention and the end of the the 6 weeks intervention

• The change Trajectory of HbA1C level from baseline to after the intervention at 3, 6, and 12 months

  To collect four-time point data by chart review. Those were before the intervention, the end of the 6 weeks intervention, after the intervention at three months, after the intervention at six months, and after the intervention at twelve months

• The change in Triglycerides level at the end of the intervention

  To collect two-time point data by chart review. Those were before the intervention and the end of the six weeks intervention

Study Arms (2)

experience learning programs of eHealth care

EXPERIMENTAL

Patients in the experimental group received 6 sections of activities.

Behavioral: experience learning programs of eHealth care

Usual care

NO INTERVENTION

Patients in control group received usual care

Interventions

experience learning programs of eHealth care BEHAVIORAL

The experience learning programs of eHealth care was included six sections of activities. Six activities were conducted based on eHealth literacy framework and experience learning theory to improve patients' abilities to engage in eHealth care service. The outcome indicators were eHealth literacy, patient health engagement, the acceptance of eHealth care, eHealth usage status, and their learning experience

experience learning programs of eHealth care

Eligibility Criteria

• Age: 20 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Diagnosed as a type 2 diabetes patients, Chronic kidney disease, and Cardiovascular Diseases more than three months.
• At least 20 years old, with clear consciousness and able to communicate in Mandarin or Taiwanese.
• Possess a mobile phone or tablet with internet capabilities.
• Consent to participate in this research and be willing to sign a consent form.

You may not qualify if:

• Suffering from serious diseases, such as: general paralysis, mental disorders, cognitive function abnormalities, etc.
• Those who cannot communicate in Mandarin or Taiwanese.
• Those who refuse to participate in this research.

Sponsors & Collaborators

• National Yang Ming Chiao Tung University: lead

Study Sites (1)

National Yang Ming University

Taipei, Taiwan

Location

Related Publications (9)

• Kayser L, Karnoe A, Furstrand D, Batterham R, Christensen KB, Elsworth G, Osborne RH. A Multidimensional Tool Based on the eHealth Literacy Framework: Development and Initial Validity Testing of the eHealth Literacy Questionnaire (eHLQ). J Med Internet Res. 2018 Feb 12;20(2):e36. doi: 10.2196/jmir.8371.

  PMID: 29434011 RESULT

• Graffigna G, Barello S, Bonanomi A, Lozza E. Measuring patient engagement: development and psychometric properties of the Patient Health Engagement (PHE) Scale. Front Psychol. 2015 Mar 27;6:274. doi: 10.3389/fpsyg.2015.00274. eCollection 2015.

  PMID: 25870566 RESULT

• Kayser L, Kushniruk A, Osborne RH, Norgaard O, Turner P. Enhancing the Effectiveness of Consumer-Focused Health Information Technology Systems Through eHealth Literacy: A Framework for Understanding Users' Needs. JMIR Hum Factors. 2015 May 20;2(1):e9. doi: 10.2196/humanfactors.3696.

  PMID: 27025228 RESULT

• Richtering SS, Morris R, Soh SE, Barker A, Bampi F, Neubeck L, Coorey G, Mulley J, Chalmers J, Usherwood T, Peiris D, Chow CK, Redfern J. Examination of an eHealth literacy scale and a health literacy scale in a population with moderate to high cardiovascular risk: Rasch analyses. PLoS One. 2017 Apr 27;12(4):e0175372. doi: 10.1371/journal.pone.0175372. eCollection 2017.

  PMID: 28448497 RESULT

• Schillinger D. The Intersections Between Social Determinants of Health, Health Literacy, and Health Disparities. Stud Health Technol Inform. 2020 Jun 25;269:22-41. doi: 10.3233/SHTI200020.

  PMID: 32593981 RESULT

• Alpay L, van der Boog P, Dumaij A. An empowerment-based approach to developing innovative e-health tools for self-management. Health Informatics J. 2011 Dec;17(4):247-55. doi: 10.1177/1460458211420089.

  PMID: 22193825 RESULT

• Knight E, Stuckey MI, Petrella RJ. Health promotion through primary care: enhancing self-management with activity prescription and mHealth. Phys Sportsmed. 2014 Sep;42(3):90-9. doi: 10.3810/psm.2014.09.2080.

  PMID: 25295771 RESULT

• Kreps GL, Neuhauser L. New directions in eHealth communication: opportunities and challenges. Patient Educ Couns. 2010 Mar;78(3):329-36. doi: 10.1016/j.pec.2010.01.013. Epub 2010 Mar 3.

  PMID: 20202779 RESULT

• Cheng YS, Lin CP, Chen LA, Hwang WR, Lin YC, Chen YC. Short-Term Effects of an eHealth Care Experiential Learning Program Among Patients With Type 2 Diabetes: Randomized Controlled Trial. J Med Internet Res. 2024 Aug 16;26:e53509. doi: 10.2196/53509.

  PMID: 39150761 DERIVED

Related Links

• A Multidimensional Tool Based on the eHealth Literacy Framework: Development and Initial Validity Testing of the eHealth Literacy Questionnaire (eHLQ)
• Measuring patient engagement: development and psychometric properties of the Patient Health Engagement (PHE) Scale.

MeSH Terms

Conditions

Diabetes Mellitus, Type 2; Renal Insufficiency, Chronic; Cardiovascular Diseases; Chronic Disease; Patient Participation; Empowerment

Condition Hierarchy (Ancestors)

Diabetes Mellitus; Glucose Metabolism Disorders; Metabolic Diseases; Nutritional and Metabolic Diseases; Endocrine System Diseases; Renal Insufficiency; Kidney Diseases; Urologic Diseases; Female Urogenital Diseases; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Male Urogenital Diseases; Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms; Patient Acceptance of Health Care; Treatment Adherence and Compliance; Health Behavior; Behavior; Social Behavior

Study Officials

• Yu-Chi Chen, Ph.D.

  National Yang Ming Chiao Tung University

  STUDY CHAIR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: PARTICIPANT
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate professor

Study Record Dates

• First Submitted: November 15, 2021
• First Posted: January 6, 2022
• Study Start: August 1, 2019
• Primary Completion: July 31, 2021
• Study Completion: November 15, 2021
• Last Updated: January 6, 2022

Record last verified: 2021-12

Data Sharing

• IPD Sharing: Will not share

Locations

TW (1)