Psychological factors influencing the effectiveness of digital health interventions for chronic fatigue: A pre-post evaluation

Psychological factors influencing the effectiveness of digital health interventions for chronic fatigue: A pre-post evaluation - DIGI-FATIGUE

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

DRKS

Registry ID

DRKS00039994

Enrollment

100

Registered

2026-04-17

Start date

2026-04-20

Completion date

Unknown

Last updated

2026-04-27

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

Conditions

Self-reported condition associated with fatigue symptoms (e.g., myalgic encephalomyelitis/chronic fatigue syndrome, long COVID, multiple sclerosis, rheumatic diseases, cancer, or fibromyalgia). G93.3 U09.9 G35 M06 M79.7

Interventions

Group 1: At the beginning of the study (T0), standardized questionnaires are administered to assess baseline levels—particularly regarding psychological factors (e.g., self-efficacy, health locus of c

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: - legal age - fluent in german - Self-reported condition associated with fatigue symptoms (e.g., myalgic encephalomyelitis/chronic fatigue syndrome, long COVID, multiple sclerosis, rheumatic diseases, cancer, or fibromyalgia).

Exclusion criteria

Exclusion criteria: - underage - not fluent in German

Design outcomes

Primary

Measure	Time frame
Health-related self-efficacy; Acceptance of Illness; Health-Related Control Beliefs. The variables are assessed using established and validated measurement instruments. The SES6G (Freund et al., 2013) is used to measure health-related self-efficacy, the Questionnaire on Health-Related Control Beliefs (KKG; Lohaus & Schmitt, 1989) is used to assess locus of control regarding illness and health, and a German translation of the Acceptance of Illness Scale (Felton et al., 1984) is used to measure illness acceptance.	—

Measure

Time frame

Health-related self-efficacy; Acceptance of Illness; Health-Related Control Beliefs. The variables are assessed using established and validated measurement instruments. The SES6G (Freund et al., 2013) is used to measure health-related self-efficacy, the Questionnaire on Health-Related Control Beliefs (KKG; Lohaus & Schmitt, 1989) is used to assess locus of control regarding illness and health, and a German translation of the Acceptance of Illness Scale (Felton et al., 1984) is used to measure illness acceptance.

—

Secondary

Measure	Time frame
Fatigue severity; Quality of Life; Health Literacy; Resilience. Fatigue and Quality of Life are assessed using the PROMIS® Fatigue Short Form 8a (PROMIS Health Organization, 2018) and the PROMIS® Global Health Scale (PROMIS Health Organization, 2017), respectively. General health literacy is measured using the HLS-EU-Q16 (Röthlin et al., 2013), and resilience is assessed using the RS-13 (Leppert et al., 2008).	—

Measure

Time frame

Fatigue severity; Quality of Life; Health Literacy; Resilience. Fatigue and Quality of Life are assessed using the PROMIS® Fatigue Short Form 8a (PROMIS Health Organization, 2018) and the PROMIS® Global Health Scale (PROMIS Health Organization, 2017), respectively. General health literacy is measured using the HLS-EU-Q16 (Röthlin et al., 2013), and resilience is assessed using the RS-13 (Leppert et al., 2008).

—

Countries

Germany

Contacts

Public ContactSimone Dohle

Universitätsklinikum Bonn (UKB)

info.hrcl@ukbonn.de+49 (0)228 287-11156

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: May 1, 2026