Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Chronic diseases are irreversible that incurs considerable medical and economic costs. Even if the government and medical health care system make an effort to improve care and recommend e-health care, the incidence and prevalence rates of chronic diseases have not decreased but increased, and participants have even become the main cause of kidney disease. Technology and daily life has become more inseparable, which also led to the change of the traditional face to face health care model. The chronic disease care is gradually transitioning into the smart eHealth care era, patients are in need of learning how to face innovative ways of using care and resources. eHealth literacy (eHL)is the essential element that determines if patient can adapt to the rapidly changing health care system.
Due to the disciplinary integration of medical and technology, eHealth care provides continuous care for patients. But, it is still necessary to return to patient-centered care thinking and improving patients' knowledge and ability to use eHealth care technology. This can be applied to disease care, and implemented for daily self-health management. Therefore, this study explores the effects of intervention and the learning process and experience of patients through an experience learning program of eHealth care.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| experience learning programs of eHealth care | Experimental | Patients in the experimental group received 6 sections of activities. |
|
| Usual care | No Intervention | Patients in control group received usual care |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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. |
| Measure | Description | Time Frame |
|---|---|---|
| The change in renal function level at the end of the intervention | The health outcome indicator of management of renal disease by using the estimated Glomerular filtration rate(eGRF) . | To collect two-time point data by chart review. Those were before the intervention and the end of the the 6 weeks intervention |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Yu-Chi Chen, Ph.D. | National Yang Ming Chiao Tung University | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| National Yang Ming University | Taipei | Taiwan |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29434011 | Result | 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. | |
| 25870566 | Result |
| Label | URL |
|---|---|
| A Multidimensional Tool Based on the eHealth Literacy Framework: Development and Initial Validity Testing of the eHealth Literacy Questionnaire (eHLQ) | View source |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D003924 | Diabetes Mellitus, Type 2 |
| D051436 | Renal Insufficiency, Chronic |
| D002318 | Cardiovascular Diseases |
| D002908 | Chronic Disease |
| D010358 | Patient Participation |
| D000079102 | Empowerment |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
|
| 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 |
| The change Trajectory of renal function level from baseline to after intervention at 6 months and 1 year |
The health outcome indicator of management of renal disease by using the estimated Glomerular filtration rate(eGRF) . |
| 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 | The health outcome indicator of management of diabetes | 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 | The health outcome indicator of management of diabetes | 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 | The health outcome indicator of management of lipid | To collect two-time point data by chart review. Those were before the intervention and the end of the six weeks intervention |
| The change Trajectory of Triglycerides level from baseline to after the intervention at 3 , 6 and 12 months | The health outcome indicator of management of lipid | 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 Cholesterol level at the end of the intervention | The health outcome indicator of management of lipid | To collect two-time point data by chart review. Those were before the intervention and the end of the 6 weeks intervention |
| The change Trajectory of Cholesterol level from baseline to after the intervention at 3, 6 and 12 months | The health outcome indicator of management of lipid | To collect two-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. |
| 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. |
| 27025228 | 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. |
| 28448497 | 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. |
| 32593981 | 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. |
| 22193825 | 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. |
| 25295771 | 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. |
| 20202779 | 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. |
| 39150761 | Derived | 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. |
| Measuring patient engagement: development and psychometric properties of the Patient Health Engagement (PHE) Scale. | View source |
| D004700 | Endocrine System Diseases |
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D010342 | Patient Acceptance of Health Care |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |
| D012919 | Social Behavior |