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Completed

NCT Number: NCT06629181

E-Health Literacy and Health Seeking Behavior in the Elderly

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.

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Key information

Conditions

Health Services, Geriatric Behavior Health Behavior

Age range

60 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Necmettin Erbakan Üniversitesi

Konya, Turkey (Türkiye)

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Education

Other

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

Primary outcomes

  1. 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.

Secondary outcomes

  1. 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.

Sponsors and collaborators

Lead sponsor

Necmettin Erbakan University

Other

Registry information

Official study title

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

Important dates

Study start
2024
Primary completion
2024
Study completion
2024
First posted
Oct 8, 2024
Registry last updated
Dec 11, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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