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Health & Digital Literacy and Complementary Medicine Attitudes in Rehabilitation Patients

Health Literacy in Relation to Attitudes Towards Traditional and Complementary Medicine Among Physical Therapy and Rehabilitation Patients.

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06949345
Enrollment
211
Registered
2025-04-29
Start date
2025-05-01
Completion date
2025-07-10
Last updated
2025-07-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Complementary and Alternative Therapies, Digital Health Literacy, Health Literacy Level

Brief summary

This observational study aims to evaluate the relationship between health and digital health literacy and attitudes toward complementary and alternative medicine (CAM) in patients visiting a physical medicine and rehabilitation outpatient clinic. Low health literacy may lead patients to try potentially unsafe herbal products influenced by commercial or social media sources. This study highlights the importance of understanding patients' attitudes toward such methods and aims to contribute to the development of educational efforts to improve health literacy. Increasing patients' awareness can support better decision-making, enhance rehabilitation outcomes, and promote the use of evidence-based practices in physical medicine clinics..

Detailed description

This observational, cross-sectional clinical study will be conducted in the Physical Medicine and Rehabilitation outpatient clinic of Karabük Training and Research Hospital. The target population includes at least 200 volunteer patients aged between 18 and 65 years. The primary objective is to evaluate the level of general and digital health literacy and the attitudes toward complementary and alternative medicine (CAM), and to investigate the relationship between these variables. Participants will be recruited consecutively from the outpatient clinic. Inclusion criteria consist of being aged 18-65, literate, and volunteering to participate. Individuals who are unwilling or unable to cooperate, or who have cognitive or psychiatric impairments that may hinder questionnaire completion, will be excluded from the study. Data will be collected through self-administered or interviewer-assisted questionnaires. The tools to be used are: A structured sociodemographic data form (age, gender, education level, marital status, etc.), Health Literacy Index (25 items), assessing general health literacy, Digital Health Literacy Instrument (DHLI) (18 items, 6 subscales), evaluating digital health-related skills, Complementary and Alternative Medicine Attitude Scale (CAMAS) (27 items, 3 subscales), measuring participants' attitudes toward CAM. Data will be analyzed using IBM SPSS software. Normality of data distribution will be assessed with the Kolmogorov-Smirnov test. Depending on data characteristics, appropriate statistical tests such as Pearson or Spearman correlation, independent sample t-tests, and ANOVA will be applied. The study will also compare health and digital health literacy levels and CAM attitudes across different sociodemographic and clinical variables. Findings from this study are expected to highlight gaps in patient knowledge and perceptions regarding CAM and digital health, potentially informing future educational strategies and supporting evidence-based clinical decision-making in rehabilitation settings.

Interventions

None listed

Sponsors

Karabuk University
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
No

Inclusion criteria

* being aged 18-65 * being literate * Volunteering to participate

Exclusion criteria

* Patients who are unwilling or unable to cooperate

Design outcomes

Primary

MeasureTime frameDescription
Complementary, Alternative, Conventional Medicine Attitude Scale (CACMAS)BaselineThe CACMAS is a 27-item scale with three subscales: attitudes toward complementary, alternative, and conventional medicine.The scale uses a 7-point Likert-type rating system, with responses ranging from 1 (Strongly Disagree) to 7 (Strongly Agree). Total Score Range: 27 to 189 Interpretation: Higher scores indicate a more positive attitude toward the use of CAM and conventional medical practices.
Digital Health Literacy InstrumentBaselineThe scale consists of 18 items across 6 dimensions: Information Seeking, Evaluation of Reliability, Determining Interest Level, Content Addition, Navigation Skills, and Privacy Protection. Participants rated their experiences on a 4-point Likert scale (1 = Very difficult, 2 = Difficult, 3 = Easy, 4 = Very easy) for the subdimensions of Information Seeking, Evaluation of Reliability, Determining Interest Level, and Content Addition. For Navigation Skills and Privacy Protection, a reverse-coded 4-point Likert scale was used (1 = Never, 2 = Occasionally, 3 = Rarely, 4 = Frequently). The overall and subscale scores ranged from 1 to 4, with scores below 2 indicating low digital health literacy, scores between 2 and 3 indicating moderate digital health literacy, and scores above 3 indicating high digital health literacy.
Health Literacy ScaleBaselineThe HLS-25 is a 25-item instrument adapted into Turkish by Aras and Temel (2017) based on the simplified version of the Health Literacy Survey in Europe (HLS-EU). It consists of four subscales: accessing information (5 items, score range: 5-25), understanding information (7 items, range: 7-35), appraising information (8 items, range: 8-40), and applying information (5 items, range: 5-25). Total Score Range: 25 to 125 Interpretation: Higher scores indicate better health literacy. All items are scored on a 5-point Likert scale (1 = cannot do at all to 5 = no difficulty). There are no reverse-coded items. Lower scores reflect inadequate or problematic health literacy.

Secondary

MeasureTime frame
Personal information formBaseline

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026