Özgül, Ecem

Profile URL
https://hdl.handle.net/20.500.14411/11231
Name Variants
Özgül, Ecem Ozgul, Ecem Ö., Ecem O., Ecem Ö., E. O., E. Ecem, Özgül Ecem, Ozgul E., Ö E., O. Özgül, E. Ozgul, E. Ecem Özgül Ecem Ozgul
Job Title
Doktor Öğretim Üyesi
Email Address
ecem.ozgul@atilim.edu.tr
Main Affiliation
Nursing
Status
Current Staff
Website
ORCID ID
0000-0002-1294-9446
Scopus Author ID
57219422470
Turkish CoHE Profile ID
303990
Google Scholar ID
Z-0oOZ8AAAAJ
WoS Researcher ID
MHQ-3300-2025

Research Topics

Domains
Social SciencesHealth Sciences
Fields
Social SciencesMedicinePsychologyHealth Professions
Subfields
DemographyPsychiatry and Mental healthNeuropsychology and Physiological PsychologyGeneral Health ProfessionsEducation
Specific Research Areas
Technology Use by Older Adults
Dementia and Cognitive Impairment Research
Aging and Gerontology Research
Mobile Health and mHealth Applications
Health Education and Validation

Sustainable Development Goals

SDG data is not available
Documents

16

Citations

76

h-index

5

Go to Scopus profile
Documents

14

Citations

79

Go to WoS profile

Publication Collaboration

Affiliation Name Count
İzmir University of Economics 14
Dokuz Eylül University 9
Izmir University 4
Dokuz Eylül Üniversitesi Hastanesi 2
Cukurova University 2
1 / 3
Data obtained from OpenAlex
Scholarly Output

1

Articles

1

Views / Downloads

1/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

0

Scopus Citation Count

0

Patents

0

Projects

0

WoS Citations per Publication

0.00

Scopus Citations per Publication

0.00

Open Access Source

0

Supervised Theses

0

JournalCount
Disability and Rehabilitation: Assistive Technology1
Current Page: 1 / 1

Scopus Quartile Distribution

Quartile distribution chart data is not available

Competency Cloud

GCRIS Competency Cloud

Filters

20261

Settings

Author of Publication: search.filters.isAuthorOfPublication.05aecddc-d80d-44be-a0ee-49c846472174

Scholarly Output Search Results

Now showing 1 - 1 of 1
  • Article
    Feasibility and Preliminary Effects of a Wearable Technology-Supported Multicomponent Intervention on Self-Efficacy and Quality of Life in Family Caregivers of People with Dementia
    (Taylor & Francis Inc, 2026-04-28) Küçükgüçlü, Özlem; Yener, Görsev; Özgül, Ecem; Akpınar Söylemez, Burcu; Soylemez, Burcu Akpinar
    This study aimed to evaluate the feasibility and acceptability of a wearable technology-supported multicomponent intervention among family caregivers of people with dementia (PwD), and to explore its preliminary effects on self-efficacy and quality of life (QOL). A single-blind randomised controlled trial was conducted. The sample comprised 44 caregivers. The intervention group received a wearable technology-supported multicomponent program while the control group received routine care. Feasibility indicators including recruitment, adherence, retention, and participant satisfaction were monitored throughout the study. Participants in the intervention group completed a questionnaire assessing their engagement with and satisfaction with smartwatch use. In addition, three data collection tools were used: the descriptive characteristics form, the Revised Scale for Caregiving Self-Efficacy and the Short Form 36 QOL Scale. Data for feasibility outcomes were summarised descriptively, while self-efficacy and QOL outcomes were analysed using repeated measures ANOVA with effect sizes calculated. In this pilot study, feasibility indicators were acceptable and suggested that the intervention could be implemented among dementia caregivers. Exploratory analyses of self-efficacy and QOL revealed no statistically significant differences. Over time, the intervention group showed a trend towards an increase in overall self-efficacy, while the control group demonstrated a significant decline. The intervention appeared feasible and acceptable for caregivers of PwD, with high adherence and satisfaction. No statistically significant differences were observed in secondary outcomes, although caregiver self-efficacy showed a positive trend. These findings provide valuable guidance for designing future larger, longer-term, and more diverse trials to evaluate the effectiveness of wearable technology-supported interventions.