E-Health Literacy and Health Seeking Behavior in the Elderly

December 10, 2024 updated by: Zeynep Sacikara, Necmettin Erbakan University

The Effect of Educational Intervention on Digital Health Service Use in the Elderly on E-Health Literacy and Health Seeking Behavior: Randomized Controlled Study

The purpose of this clinical trial is to determine the effect of an educational intervention on the use of digital health services for elderly individuals on e-health literacy and health seeking behavior.

The main questions it aims to answer are:

H 0 : There is no difference in terms of the total score of the e-health literacy scale.

H 0 : There is no difference in terms of the total score of the health seeking behavior scale.

The control group will continue their routine life. The researchers will conduct a 4-week intervention for the intervention group participants.

Technology Use Basic Information Training, MHRS and e-pulse Systems Usage Training Health literacy, mobile health application usage training Counseling Applications will be made at the end of the training.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

Electronic health (eHealth) is the use of information and communication technology in support of health and health-related areas and is increasingly integrated into health resources and service delivery (WHO, 2019). The World Health Organization (WHO) also recognizes that digital technologies have the potential to accelerate the achievement of the Sustainable Development Goals by improving health services (WHO, 2021). However, not everyone has sufficient access or skills to use digital technology to benefit from the benefits of eHealth. This situation cannot be ignored, especially for the elderly, who are a vulnerable group (Chang et al., 2021). Elderly health and reducing health inequalities are important issues among the Sustainable Development Goals 2030 (UNDP, 2023). In order to minimize inequalities, it is very important for the individual to adapt to the innovations of the age and develop technology use skills. (Akyazı, 2018; Tuna Uysal, 2020).

The sample size was determined by Power analysis. The sample was calculated as 29 elderly individuals for each group with a power of 90%, with an effect size of 0.88 in an experimental study (Xie 2011). Considering the 10% loss probability for the study group, the sample was determined as 32 for each group (experimental and control). Before randomization, elderly individuals who meet the inclusion criteria will be given general information about the study, their informed consent will be obtained for participation in the study, and a pre-test will be administered. Then, the block randomization method will be used for randomization, and opaque envelopes will be given by an independent researcher to conceal the assignment.

At the end of the study, the training given to the experimental group will also be given to the control group.

Study Type

Interventional

Enrollment (Actual)

64

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Konya, Turkey
        • Necmettin Erbakan Üniversitesi

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

At least literate Having a smart phone Elderly individuals aged 60 and over Having internet access at home or at work

Exclusion Criteria:

Illiterate Not having a smart phone Individuals under the age of 60 Not having internet access at home or at work

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Control
Elderly people will continue to receive routine care at the family health center.
Experimental: Intervention
The group in which the intervention was made

The researchers will conduct a 4-week intervention for the intervention group participants.

Technology Use Basic Information Training, MHRS and e-pulse Systems Usage Training Health literacy, mobile health application usage training Counseling Applications will be made at the end of the training

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Total score of e-health literacy scale
Time Frame: pre-test in the first meeting, posttest 4 weeks after registration
There are 8 items measuring users' knowledge, comfort and perceived skills in finding, evaluating and applying electronic health information regarding e-health problems. A 5-point Likert-type measurement is used to evaluate the items. The total score varies between 8 and 40, and higher scores indicate higher perceived skills in finding, evaluating and applying e-health information to make health decisions.
pre-test in the first meeting, posttest 4 weeks after registration

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Health Seeking Behavior Scale total score
Time Frame: pre-test in the first meeting, posttest 4 weeks after registration
The scale consists of 3 dimensions and 12 items: online health seeking (6 items), professional health seeking (3 items), and traditional health seeking (3 items). The items in the scale were measured with 5-point Likert-type scale options (1 = strongly disagree, 5 = strongly agree). The minimum and maximum scores that can be obtained from the scale are 12 and 60, respectively. Higher scores represent better health seeking behavior.
pre-test in the first meeting, posttest 4 weeks after registration

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: ZEYNEP SAÇIKARA, https://www.erbakan.edu.tr/hemsirelikfak

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 7, 2024

Primary Completion (Actual)

November 5, 2024

Study Completion (Actual)

December 10, 2024

Study Registration Dates

First Submitted

October 2, 2024

First Submitted That Met QC Criteria

October 4, 2024

First Posted (Actual)

October 8, 2024

Study Record Updates

Last Update Posted (Estimated)

December 11, 2024

Last Update Submitted That Met QC Criteria

December 10, 2024

Last Verified

December 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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