Liver Cirrhosis Patients' Digital Health Literacy and Perspective on Digital Healthcare, a Multicenter Questionnaire Study

Maastricht University Medical Center86 enrolled

Overview

The goal of this study is to investigate digital health literacy in liver cirrhosis patients. Participants will fill in two questionnaires by email or mail.

Study Type

INTERVENTIONAL

Allocation

Purpose

OTHER

Masking

NONE

Enrollment

Conditions

Liver Cirrhosis

Interventions

QuestionnaireOTHER

The patient information, informed consent form and questionnaire will collectively be distributed digitally or by mail to all patients.

Eligibility

Sex: ALLMin age: 18 YearsMax age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Liver cirrhosis diagnosis, based on liver biopsy, fibroscan (elastography), radiographic imaging and/or clinical criteria according to applied guidelines at the time of inclusion * Age 18 years or older * Treated at Gastroenterology department Exclusion Criteria: * Objection to be approached for scientific studies requests, documented in electronic patient record

Locations (1)

Maastricht University Medical Center

Maastricht, Netherlands

Outcomes

Primary Outcomes

Digital Health Literacy Instrument 2.0 scores

Digital health literacy Instrument (DHLI) 2.0 has 24 self-report items. People score how difficult they perceive certain tasks to be and how often they experience certain problems on the Internet. Each item was scored on a 4-point scale, with response options ranging from "very easy" to "very difficult" and from "never" to "often." Scores are reversed, so that a higher score represented a higher level of digital health literacy.

Time frame: At time of enrollment, single point in time.

Number of right answers on digital health visualization questionnaire.

This is a questionnaire with items assessing health visualization literacy. People are shown 20 visualizations with information about their disease and answer a question to test if they understood the information in the visualization. The scores consist of number of right answers, so a higher score represent better digital health visualization.

Time frame: At time of enrollment, single point in time.

Data from ClinicalTrials.gov

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