Digital Rural-urban Ecosystem for Active Management & Successful Aging
경상국립대학교 간호대학 드림 프로젝트팀
NRF Mid-Career Research · College of Nursing, GNU · 2025–2028

Where People Age in Place with Dignity

Bridging the urban–rural health divide through a comprehensive digital ecosystem — empowering older adults to live where they belong, healthier and longer.

🏡 Aging in Place 🌿 Healthy Aging 💻 Digital Health 🗺️ Urban–Rural
464
Year 1 participants
Urban 268 · rural 196
11
Recruitment sites
urban & rural Jinju
1,000+
Year 2 Tier 2 target
registered platform users
50+
Peer-reviewed
publications
Healthy Aging · Aging in Place
Frailty · Intrinsic Capacity · Digital Health · Person-Centered Care · Sarcopenia · Dysphagia
Prof. Chang HeeKyung
장희경
Chang HeeKyung, RN, OCN, Ph.D.
PositionProfessor
AffiliationCollege of Nursing, GNU
ORCID0000-0003-3581-9430
Emailhchang@gnu.ac.kr
Tel+82-10-9609-6309
Education
Ph.D.Seoul National University · 2013
Dissertation advisor: Prof. Yeon-Hwan Park
M.S.N.Seoul National University · 2002
Thesis advisor: Prof. Eun-Ok Lee
B.S.N.Seoul National University · 1995
Academic advisor: Prof. Soon-Nyoung Yun
Principal Investigator

Healthy Aging &
Digital Health Research

Dr. Chang HeeKyung is a Professor at the College of Nursing, Gyeongsang National University, and a researcher at the Sustainable Health Research Institute. She earned her B.S.N. (1995), M.S.N. (2002) and Ph.D. (2013) from Seoul National University College of Nursing.

Her research centers on frailty, intrinsic capacity, and community-based digital health interventions that enable older adults to age in place with dignity. She is the Principal Investigator of the DREAMS project — an NRF-funded longitudinal study developing a comprehensive digital health ecosystem across urban–rural communities.

With over 50 peer-reviewed publications since 2009, her work spans healthy aging, frailty screening, sarcopenia, dysphagia, person-centered care, digital storytelling, and evidence-based nursing.

Healthy AgingAging in PlaceFrailty & VulnerabilityIntrinsic CapacityDigital HealthSarcopeniaPerson-Centered CareDysphagiaDigital StorytellingUrban–Rural HealthMixed MethodsEBP
Publications by Theme

Six Research Streams

Our publications are organized into six thematic streams. Each card presents the research focus and all related publications.

🌿
Stream 01
Frailty & Intrinsic Capacity
Multidimensional frailty screening, LCA-based vulnerability profiling (ViSTA-16), sarcopenia, and urban–rural comparative assessments.
2026
Diagnostic Accuracy of the WHO ICOPE Step 1 Screening Tool in Korean Community-Dwelling Older Adults: A Cross-Sectional Validation Study
Chang HK, Park MJ, Seo JH, Do YJ
Front Public Health, 14:1897282. doi:10.3389/fpubh.2026.1897282
2026
Self-Efficacy as a Mediator Between Functional Independence, Social Network, and Dementia-Prevention Behaviors
Kim JY, Chang HK
Korean J Adult Nurs doi:10.7475/kjan.2025.1013
2023
Determinants of Physical Frailty among Old-Old Adults in an Urban-Rural Complex Community
Chang HK
Int J Advanced Culture Technology, 11(3) doi:10.17703/IJACT.2023.11.3.131
2021
Comparison of Related Factors According to Frailty Level in Rural Community-Dwelling Older Adults
Chang HK, Kim MK, Lee JY, Kim BR, Gil CR
J Korean Gerontol Soc, 41(3)
2020
Prevalence of Sarcopenia in Community-Dwelling Older Adults According to Simplified AWGS Algorithms
Chang HK, Lee JY, Gil CR, Kim MK
Clin Interv Aging, 15 doi:10.2147/CIA.S281131
2020
Screening Sarcopenia in Rural Community-Dwelling Older Adults in Korea
Kim MK, Lee JY, Gil CR, Kim BR, Chang HK
Int J Advanced Culture Technology, 8(4) doi:10.17703/IJACT.2020.8.4.63
💻
Stream 02
Digital Health & Storytelling
Digital storytelling interventions, technology acceptance in older adults and care workers.
2026
Intergenerational Digital Storytelling for Older Adults with Cognitive Impairment in Long-Term Care: A Pilot Mixed Methods Study
Chang HK, Park MJ, Seo JH, Do YJ
Educational Gerontology. doi:10.1080/03601277.2026.2730598
2025
Impact of Structural Empowerment, Thriving at Work, and Caregiver Reciprocity on Psychological Empowerment of Home Care Workers
Chang H, Do Y, Ahn J, Kim Y
2023
Digital Storytelling as an Intervention for Older Adults: A Scoping Review
Chang HK, Do YJ, Ahn JY
Int J Environ Res Public Health, 20(2) doi:10.3390/ijerph20021344
2020
The Effects of a Storytelling Intervention Program for Nursing Home Residents in Korea
Chang HK, Do YJ, Kim YM, Ahn JY, Gil CR
Int J Gerontology, 14(4), 338–344 doi:10.6890/IJGE.202011_14(4).0016
2019
Community-Dwelling Older Adults' Needs and Acceptance Regarding the Use of Robot Technology
Park YH, Chang HK, Lee MH, Lee SH
🤝
Stream 03
Person-Centered & Long-Term Care
Person-centered care culture, nursing staff wellbeing, quality of life, and qualitative insights from long-term care settings.
2026
Intergenerational Digital Storytelling for Older Adults with Cognitive Impairment in Long-Term Care: A Pilot Mixed Methods Study
Chang HK, Park MJ, Seo JH, Do YJ
Educational Gerontology. doi:10.1080/03601277.2026.2730598
2024
Nursing Undergraduates' Ageism and Attitudes toward Dementia: Serial Multiple Mediating Effects of Person-Centered Care and Compassion
Chang HK, Ahn JY, Do YJ
2023
Care Worker Interactions and Connection with Older Adults in Long-Term Care Facilities During COVID-19
Chang HK, Do YJ, Kim YM, Ahn JY
J Korea Acad-Ind Coop Soc, 24(9)
2021
Factors Affecting Quality of Life Among the Elderly in Long-Term Care Hospitals
Chang HK, Gil CR, Kim HJ, Bea HJ
2020
Person-Centered Care, Job Stress, and Quality of Life Among Long-Term Care Nursing Staff
Chang HK, Gil CR, Kim HJ, Bea HJ
2019
Health Personnel's Experience with Resident-Centered Care in Nursing Homes in Korea: A Qualitative Study
Chang HK et al.
Int J Nursing Sciences, 6, 176–181 doi:10.1016/j.ijnss.2019.03.012
2018
Nurses' Perceptions of Person-Centered Care in Long-Term Care Hospitals: A Focus Group Study
Chang HK, Gil CR, Kim HJ, Bea HJ et al.
J Korea Acad-Ind Coop Soc, 19(11)
🩺
Stream 04
Clinical Nursing
COVID-19 nursing, end-of-life care, rehabilitation adherence, hemodialysis, mindfulness, and stroke caregiver management.
2024
Experiences of Nurses Working as Helpers in a Dedicated COVID-19 Ward of a Certified Tertiary Hospital
Park EH, Chang HK
J Korean Assoc Qual Res, 9(2)
2024
Balancing Urgency and Dignity: Nurses' Perspectives on End-of-Life Care in the Emergency Department
Jang YJ, Chang HK
J Korean Assoc Qual Res, 9(3) doi:10.48000/KAQRKR.2024.9.204
2024
Factors Influencing Nurses' Adherence to Personal Protective Equipment in COVID-19 Designated Wards
Kwon HE, Chang HK
J Korea Acad-Ind Coop Soc, 25(12)
2022
Factors Influencing Self-Management Adherence in Hemodialysis Patients
Park HH, Chang HK
J Korea Acad-Ind Coop Soc, 23(7)
2022
Psychosocial Factors Influencing Rehabilitation Adherence in Post-Acute Stroke Patients
Choi HJ, Chang HK
Korean J Rehabil Nurs, 25(2)
2021
Factors Affecting Performance of End-of-Life Care Among ICU Nurses
Kim MJ, Chang HK
J Convergence on Culture Technology, 7(3)
2018
The Mediating Effect of Mindfulness in the Relationship Between Self-Esteem and Burnout Among Clinical Nurses
Bea HJ, Chang HK, Eun Y
Stress, 26(3)
2018
Factors Influencing Family Caregivers' Self-Management of Acute Stroke Survivors
Lee JY, Chang HK
Korean J Adult Nurs, 30(6) doi:10.7475/kjan.2018.30.6.669
🏥
Stream 05
Healthy Aging & Community Health
Fear of dementia, self-management in chronic illness, health literacy, and community health promotion.
2026
Concept Development of Ikigai among Korean Older Adults Using the Hybrid Model
Chang HK, Seo JH, Park MJ, Do YJ
J Korean Assoc Qual Res, 11(2), 175–191. doi:10.48000/KAQRKR.2026.11.175
2026
A Context-Informed Evolutionary Concept Analysis of Ikigai in Later Life: Evidence Relevant to Older People in Korea
Chang HK, Seo JH, Park MJ, Do YJ
Int J Older People Nurs, 21:e70092. doi:10.1111/opn.70092
2026
Self-Efficacy as a Mediator Between Functional Independence, Social Network, and Dementia-Prevention Behaviors
Kim JY, Chang HK
Korean J Adult Nurs doi:10.7475/kjan.2025.1013
2021
Comparison of Related Factors According to Frailty Level in Rural Community-Dwelling Older Adults
Chang HK, Kim MK, Lee JY, Kim BR, Gil CR
J Korean Gerontol Soc, 41(3)
2020
Factors Influencing Fear of Dementia among Middle-Aged and Older Adults
Kim BR, Chang HK
J Korean Community Nurs, 31(2)
2019
Community-Dwelling Older Adults' Needs and Acceptance Regarding the Use of Robot Technology
Park YH, Chang HK, Lee MH, Lee SH
📚
Stream 06
Nursing Education & EBP
Evidence-based practice, person-centered competence in nursing students, scale validation.
2026
The Impact of Nursing Students' Anxiety in Clinical Decision-Making on Relationship-Centered Care: The Mediating Effects of Coherence and Emotional Intelligence
Chang HK, Ahn JY, Park MJ, Do YJ
Western J Nurs Res (Epub ahead of print). doi:10.1177/01939459261430160
2024
Nursing Undergraduates' Ageism and Attitudes toward Dementia: Serial Multiple Mediating Effects of Person-Centered Care and Compassion
Chang HK, Ahn JY, Do YJ
2023
Reliability and Validity of the Korean Version of the Nurse-Patient Care Interaction Scale
Chang HK, Do YJ, Ahn JY
J Korea Acad-Ind Coop Soc, 24(2)
2022
Factors Affecting Nursing Students' Person-Centered Care Competence: Empathy, Self-Compassion, and Critical Thinking Disposition
Do YJ, Ahn JY, Chang HK
J Korea Acad-Ind Coop Soc, 23(1)
2019
Effects of an Evidence-Based Practice Education Program Using Multifaceted Interventions
Kim JS, Gu MO, Chang HK
BMC Medical Education, 19(71) doi:10.1186/s12909-019-1501-6
2019
Reliability and Validity of the Korean Version of the Nurse-Patient Interaction Scale
Chang HK, Lee JY, Kim MK, Yang EO, Gil CR
J Korea Acad-Ind Coop Soc, 20(12)
NRF Mid-Career Research Grant · 2025–2028

The DREAMS Project

Digital Rural-urban Ecosystem for Active Management & Successful Aging — a 3-year longitudinal study building a comprehensive digital health ecosystem for aging in place.

DREAMS Ecosystem Platform — Network Structure & Participant Engagement

DREAMS Ecosystem Platform: Network Structure & Participant Engagement Pathway (Digital Rural-urban Ecosystem for Active Management & Successful Aging)

01

Year 1 · Cohort & Validation (Completed)

464 community-dwelling older adults (mean age 78.4; 67.9% female) recruited from 11 community-based sites in urban and rural Jinju — urban 268 / rural 196, March–December 2024. WHO ICOPE Step 1 validated against Korean reference standards (CIST, MNA-SF, GDS-15, SPPB); five analyses completed.

02

Year 2 · Two-Tier Pilot (2026, Ongoing)

A two-tier design compared by intervention intensity, delivered with the Jinju City Public Health Center and 23 partner institutions. Tier 1 intensive intervention (n=100) runs alongside Tier 2 AI-based monitoring (1,000+ registered users), while the three-tier platform is built during the pilot.

03

Year 3 · Full Platform Operation (2027–2028, Planned)

Full operation of the three-tier platform: data collection → risk prediction engine → tailored intervention output. Cost-effectiveness analysis of each tier informs a scalable model, with longitudinal prediction and evidence-based policy recommendations.

🏡

Aging in Place Philosophy

DREAMS is grounded in the belief that healthy aging happens best where people belong — in their own communities, supported by a responsive digital ecosystem.

🌿

Healthy Aging Focus

Beyond disease management — DREAMS promotes vitality, intrinsic capacity, and wellbeing across individual, community, and environmental levels.

🗺️

Urban–Rural Comparative Design

Urban residents show multi-step sequential pathways; rural residents show simplified appetite-driven pathways. Bridging this gap is DREAMS' core mission.

🌏

International Network

Our poster on ikigai at UTNIC 2026 drew interest from researchers at the University of Tokyo, and correspondence is now underway toward a joint study of ikigai in later life. Exchange with Kyoto Prefectural University of Medicine is the most developed of the current links. Measurement harmonisation with TOOTH and TULIP/TULIPS was discussed at Keio University CSMR; a formal collaboration there has not yet been decided.

Year 2 · Two-Tier Pilot

A two-tier pilot compared by intervention intensity, run in 2026 with the Jinju City Public Health Center and 23 partner institutions.

Tier 1 — Intensive Intervention
100
60 urban / 40 rural
Groups of 10–12, meeting once or twice weekly. Two 12-week cycles combining physical activity, nutrition, cognitive training, and social participation.
vs
Tier 2 — Monitoring
1,000+
registered users by year end
AI-based health monitoring with monthly assessment, health education materials, and quarterly group sessions.

What the comparison is designed to show

  • Health outcomes by intervention intensity — is monitoring alone sufficient, and for whom?
  • Cost-effectiveness of each tier, to inform a scalable model for Year 3
  • Whether urban and rural participants respond differently to the same programme

The platform being built alongside

  • Three tiers: data collection → risk prediction engine → tailored intervention output
  • Built during this year's pilot, informed by what the intervention teaches us
  • Full operation is the goal for Year 3 (2027)
Theoretical Basis · Bronfenbrenner's Ecological Systems

DREAMS supports healthy aging through an ecosystem in which the individual, family and care, community, institutions, and policy are organically connected — the structure carried in our logo.

Individual
Health · Intrinsic capacity · Quality of life
Microsystem
Family · Care · Neighbours
Mesosystem
Institution & service linkage
Exosystem
Community · Systems
Macrosystem
Policy · Society · Culture
Key Finding · WHO ICOPE Step 1 Validation

The first Korean diagnostic accuracy study of the four assessable non-sensory ICOPE Step 1 domains (n=464). Front Public Health 2026;14:1897282.

89.0%
Overall sensitivity
any IC decline
45.1%
Overall specificity
AUC 0.671
0.615
Cognition AUC
the weak point
0.211
Adjusted OR, locomotion
lower detection in urban

Three implementation problems identified

  • Education bias in cognition. Three-word recall gave a ~50% false-positive rate; specificity fell to 45.7% among those with elementary education or less — 72.8% of the sample.
  • Incorporation bias in locomotion. The chair-rise item overlaps SPPB; removing it dropped AUC from 0.768 to 0.670.
  • Vitality under-detection. Adding BMI ≤ 20 kg/m² raised sensitivity from 59.0% to 68.2% with no specificity cost.

Prevalence–structure discordance

Prevalence looked similar across urban and rural sites — almost nothing else did. Rural locomotion sensitivity was 85.5% against 53.2% in urban residents, using the same item and the same protocol.

Conversely, urban residents were far more likely to be detected for cognition (adjusted OR 4.82) and vitality (OR 4.10). A single uniform national screening protocol does not perform uniformly.

Field Delivery · Village Senior Centres

The Year 2 intervention is delivered where older adults already gather — the gyeongnodang (village senior centre). In partnership with the Jinju City Public Health Center, the programme runs at 15 village senior centres across rural Jinju with 177 participating older adults. The research team delivers the intervention directly at five of these centres; at the remaining ten it is delivered by interventionists employed by the public health centre, working from centre-specific guidance the team prepares from the baseline assessment.

15
Village senior centres
rural Jinju
177
Participating older adults
baseline assessed
24
Sessions per centre
twice weekly, 12 weeks
5 / 10
Research team direct
/ public health centre
Delivered directly by the research team
Naeyul 명석 내율n=10Sindang 집현 신당n=9Yugok 대곡 유곡n=11Nabul 명석 나불n=11Motan 상봉 못안n=8
Delivered by public health centre interventionists
Geumgok 금곡 신대n=13Simok 명석 시목n=9Jangjuk 미천 장죽n=10Mongnyeon 상봉 목련n=9Jamae 수곡 자매n=10Odong 이반성 오동n=12Sangnam 일반성 상남n=16Sogok 정촌 소곡n=30Hadong 지수 하동n=10Duso 진성 두소n=9

What a session looks like

  • Groups of 8–16, meeting twice weekly at the village senior centre
  • Physical activity, nutrition, cognitive training, and social participation
  • A 12-week cycle of 24 sessions, with pre-, mid- and post-assessment
  • Open to all older adults at the centre, not only those screened as frail

Tailored centre by centre

Baseline assessment is returned to each centre as a profile of its own older adults — depression, cognition, fall risk, nutrition, grip strength, hearing and loneliness — so that every site emphasises what its participants actually need. One centre may be appetite-driven, the next dominated by fall risk.

Delivering at the centre removes the travel barrier a clinic-based programme would impose, and places the intervention inside an existing social structure, so taking part is a continuation of daily life rather than an appointment.

Graduation · Village Senior Centres

Each 12-week cycle closes with a graduation. Participants receive a certificate and a wall calendar made for their own centre, carrying photographs from their twelve weeks together and the activities they chose to keep doing. Four of the five centres the research team runs directly have now graduated; Motan  못안 follows on 29 October 2026.

Closing ceremony at Nabul village senior centre
Nabul 나불 — closing ceremony, October 2026
Closing ceremony at Naeyul village senior centre
Naeyul 내율 — closing ceremony, October 2026
Closing ceremony at Sindang village senior centre
Sindang 신당 — closing ceremony, October 2026
Closing ceremony at Yugok village senior centre
Yugok 유곡 — closing ceremony, October 2026
Translation into Practice · ICOPE Digital Dashboard

With the Jinju City Public Health Center, the team has built a digital dashboard that brings the health status of 1,000 community-dwelling older adults onto a single screen. Built on the WHO ICOPE (Integrated Care for Older People) framework, it reads the five intrinsic capacity domains alongside physical, psychological and social frailty and activities of daily living, so that the public health centre can identify at-risk older adults early and prioritise who is seen first.

Locomotion
Mobility and gait
Cognition
CIST screening
Vitality
Nutrition and appetite
Psychological
Depression, loneliness
Sensory
Hearing and vision

Grounded in the cohort

The intervention it feeds was designed from the team’s study of 464 older adults in Gyeongnam, which found that cognitive function and psychological capacity mediate the path from frailty to dependence in daily living. That is why the programme addresses cognition, nutrition and psychological domains alongside physical activity, rather than exercise alone.

Aligned with national policy

The work sits alongside Korea’s Integrated Care Support Act, which took effect in March 2026 and links medical care, long-term care and community support around the local area. The dashboard is intended as the mechanism that detects health risk early and routes an older adult to the service they need.

In the press

“Gyeongsang National University builds an integrated digital dashboard for older adults’ health”

“This dashboard and the integrated intervention are an attempt to analyse older adults’ health comprehensively, on the basis of data, and to deliver tailored care where it is most needed,” said Prof. Chang. “Through our partnership with the Jinju City Public Health Center, I hope the findings contribute in practical terms to the health of older adults in this community.”

Jinju Sinmun · 2 July 2026 · by Choi Ha-neul  진주신문

Research Progress Overview
DREAMS Comprehensive Digital Healthcare Ecosystem Urban-Rural Community-Dwelling Older Adults · Network Structure & Participant Engagement Pathway Network Structure DREAMS ecosystem Target Population Urban-Rural Older Adults Community Healthcare Service Social Health Determinants Assessment Support System College / Research Network Structure Participant Engagement Pathway • Healthcare / hospital referrals • Welfare center linkage • Health program access • Community outreach Participation Start ↓ DREAMS ecosystem Join • Platform onboarding • Health profile setup • Service selection • Group formation Engage • Digital literacy training • Frailty assessment • Personalized care plan • Platform skill building Change • Self-care capacity • Active data sharing • Community leadership • Social participation Ascend • Customized intervention • Step-up program • Welfare service link • Family support Join → Engage → Change → Ascend · Sustain & Expand Figure 3. DREAMS Ecosystem Platform: Network Structure & Participant Engagement Pathway
DREAMS Year 1 Research Process Digital Rural-urban Ecosystem for Active Management & Successful Aging ① Research Foundation • IRB Approval • Team: 4 members • Advisory board: 5 GIRB-G25-NW-0112 5 expert domains ② Community Network • 8-institution MOU • Urban-rural gap analysis Jinju (urban) Geochang (rural) ③ Field Survey Implementation • 475 recruited • 464 confirmed • Urban 60%/Rural 40% Age: 78.4±7.6 yrs Female: 67.9% ④ Tool Development • Frailty tool (LCA) • IC tool (5 domains) • CVI > 0.80 ViSTA-16 validated 3 vulnerability profiles ⑤ Data Analysis • 150-var codebook • Frailty: 48.3% • SEM: CFI=0.979 Full mediation confirmed ⑥ AI Algorithm Preparation • 15 key predictors • XGBoost design • PostgreSQL stack Python 3.9 scikit-learn Key Findings Full Mediation Confirmed · Cognitive-Psychological Capacity: 78–84% · Urban-Rural Pathway Differences Based on Year 1 Year 2 Pilot Implementation Framework Phase 1 — Intensive Intervention Pilot 👥 Target: 100 participants (Urban 60 + Rural 40) 📋 Groups: 10–12 per small group 📅 Frequency: 1–2 face-to-face sessions / week ⏱ Duration: 12 weeks × 2 rounds 📝 Content: Physical · Nutrition · Cognitive · Social 📍 Sites: Urban welfare centers & rural village halls 🏥 Partner: 23 institutions (8 MOU + 15 village halls) 📊 Evaluate: pre / mid / post comparison Validated scale-up Phase 2 — Scale-up • AI-based health monitoring • Real-time data collection • Early anomaly detection • Personalized feedback • Medical-welfare linkage Target: 1,000+ users by end of Year 2 🎯 Goal: 1,000+ Registered Users by Year 2 Figure 1. DREAMS Year 1 Research Process & Year 2 Pilot Implementation Framework · GNU College of Nursing
AI-Powered Health Management Platform Architecture & Workflow Figure 2. 3-Tier Architecture · 6-Step Implementation Process · DREAMS Lab, GNU Nursing 3-TIER PLATFORM ARCHITECTURE TIER 1 — Data Input Layer Self-Report • Health self-report survey • Lifestyle habits checklist • Symptom checklist (digital or paper) Field Assessment • SPPB, TUGT, Grip strength • CIST (cognitive function) • MNA-SF, GDS-SF Trained assessors Partner Linkage • Medical record linkage • Service utilization data • Welfare status info 23 partner institutions Data Integration TIER 2 — AI Analysis Engine Predictor Input (15 variables) SPPB, CIST MNA-SF… Predictive Model (XGBoost) Risk Score Calculation Individual risk scores Algorithm Composition • Frailty risk prediction • Intrinsic capacity detection • Early anomaly alert system Tech Stack: Python 3.9 · scikit-learn · XGBoost · PostgreSQL Personalized Output TIER 3 — Personalized Intervention Output Risk Stratification ● High Risk (intensive) ● Medium Risk (standard) ● Low Risk (monitoring) XGBoost score-based Personalized Recommendation • Physical activity program • Nutrition management guide • Cognitive training content • Social activity suggestions Service Linkage Trigger • Medical referral (on anomaly alert) • Welfare service linkage (when support needed) Year 2 KPIs: Prediction AUC ≥ 0.75 Registered Users: 1,000+ Health: +25% IMPLEMENTATION WORKFLOW 6-Step Process ① Pre-Assessment Baseline frailty / IC measurement Digital literacy assessment ② AI Risk Calculation 15-predictor → XGBoost model Individual risk score generation ③ Group Assignment Intensive vs. monitoring group Risk-stratified assignment ④ Intervention Delivery 12-week × 2-round program Personalized health content ⑤ Real-time Monitoring Continuous health data tracking Automatic anomaly alert ⑥ Outcome Evaluation Pre/mid/post-test comparison Cost-effectiveness analysis Figure 2. DREAMS AI-Powered Health Management Platform Architecture & Workflow · GNU College of Nursing
International Exchange

Japan Research Collaboration Visit

Two international conferences and four institutional visits across Tokyo, Omuta and Kyoto, 19–31 July 2026.

An official overseas research visit funded by the National Research Foundation of Korea, undertaken to present the DREAMS project’s findings and to build the groundwork for Korea–Japan research collaboration. Alongside the two conferences, the team visited four institutions whose work bears directly on DREAMS — community-integrated dementia care, gerontological nursing, longitudinal ageing cohorts, and digital tools for older adults’ health.

13
Days in Japan
19–31 July 2026
2
International conferences
INRC & UTNIC
4
Institutional visits
Tokyo · Omuta · Kyoto
3
Presentations
1 oral, 2 posters
GNU DREAMS Research Team — Japan Research Collaboration Visit banner (primary)GNU DREAMS Research Team — Japan Research Collaboration Visit banner (mascot version)
Itinerary · 2 conferences + 4 institutional visits
20–21 Jul
INRC 2026 — 21st International Nursing Research Congress
Hilton Tokyo
Oral presentation on 20 July — fall risk and the independent predictive effect of social isolation (DREAMS Year 1, N=464) — followed by a poster presentation on 21 July.
23 Jul
Omuta City Hall (大牟田市) — Community-Integrated Dementia Care
Fukuoka Prefecture
A 27-year community-building dementia care model, discussed with Mr. Hirata Yusaku of the welfare division. Key lessons: critique of the “supporting / supported” dichotomy, the shift from the old to the new view of dementia, and the policy sequence listen → with → create.
27 Jul
Kyoto Prefectural University of Medicine (KPUM)
Kyoto
Gerontological nursing and care research exchange with Prof. Mouri Takako and Assoc. Prof. Ito Naoko, whose work on Korean residents in Japan intersects closely with DREAMS.
28 Jul
Keio University CSMR — Center for Supercentenarian Medical Research
Tokyo
A two-hour working meeting with Prof. Yasumichi Arai, Prof. Takashi Sasaki and Prof. Gen Nakayama on ageing research and on data-harmonisation protocols for the TULIPS international longitudinal ageing cohort network.
29 Jul
Tokyo Metropolitan Institute for Geriatrics and Gerontology (TMGHIG)
Itabashi, Tokyo
A two-hour working meeting with Prof. Obuchi and Prof. Sasai on longitudinal cohort design and on protocols for applying digital and wearable tools in frailty assessment — the Itabashi Longitudinal Study on Ageing.
30 Jul
UTNIC 2026 — The University of Tokyo
Hongo, Tokyo
Poster oral presentation of the structural equation model of frailty, intrinsic capacity and dependence in daily living, alongside posters on intergenerational digital storytelling and ikigai.
What we brought back
INRC 2026 · Tokyo
Programme book and abstracts; presentations and international research trends in gerontological nursing, falls and frailty.
UTNIC 2026 · University of Tokyo GNRC
Programme book and abstracts — 105 papers from 12 countries — keynote lectures and poster sessions.
Omuta City Hall
Policy and practice materials from 27 years of community-integrated dementia care, including the shift to the new view of dementia (認知症観).
Kyoto Prefectural University of Medicine
Gerontological nursing and care research exchange materials, and discussion papers on the sociology of care.
Keio University CSMR
Ageing research, TULIPS consortium data-harmonisation protocols, and instrument standardisation materials.
Tokyo Metropolitan Institute for Geriatrics and Gerontology
Protocols for applying digital health-management tools with older adults, and related discussion materials.
How it feeds back into DREAMS

These materials are being used to standardise instruments and harmonise data for the DREAMS cohort’s follow-up wave, and as the basis for designing joint Korea–Japan studies and for participating in international ageing-cohort consortia. Interpretation support made it possible to hold substantive discussions at each institution, and all of the hosts agreed to continue talks on joint research, data harmonisation and reciprocal visits.

Research Team

Meet the Team

Bringing together expertise in gerontological nursing, clinical evaluation, data analysis, and research administration.

장희경
장희경
Chang HeeKyung, RN, OCN, Ph.D.
PI · Professor
Healthy aging, frailty, aging in place, digital health. DREAMS project lead.
박민지
박민지
Park Min Ji, RN, MSN
Doctoral Student · Researcher
Community-dwelling older adults, Intrinsic Capacity, Frailty. Data analysis lead.
서주희
서주희
Seo Ju Hee, RN, MSN
Doctoral Student · Researcher
Evidence-Based Practice (EBP), Ikigai, older adult health.
도영주
도영주
Do Youngjoo, RN, Ph.D.
Assistant Professor · Dept. of Nursing, Masan University
CVA, Illness Intrusiveness, Storytelling, Problem-Based Learning.
October 2026 · Conferences in Korea
19–20 Oct
2026 International Nursing Conference (INC)
Seoul, Republic of Korea
All four members of the lab presented e-posters — three from the DREAMS cohort in the Community Health track, and one from the team’s nursing-education research in the Nursing Education track.
CH-040
Hidden by Composition: An Educational Gradient in Complex Health Burden Masked by Urban–Rural Equivalence Among Community-Dwelling Korean Older Adults
HeeKyung Chang
CH-045
Network Structure of Frailty, Intrinsic Capacity, Resilience, and Health-Related Quality of Life Among Community-Dwelling Older Adults: An Exploratory Cross-Sectional Study
MinJi Park
CH-046
Sarcopenia Intersects Intrinsic Capacity Through Locomotion: A Community Study of Older Adults in a Korean Rural–Urban Region
Juhee Seo
NURSING EDUCATION
Becoming a Reflective Practitioner: A Narrative Inquiry Into Nursing Students’ Experiences of Story-Based Problem-Based Learning
Youngjoo Do
2026 INC Seoul
The DREAMS team at the Community Health e-poster boards, 2026 INC, Seoul
2026 INC Seoul
Nursing Education track — the narrative inquiry into story-based PBL
2026 INC Seoul
Prof. HeeKyung Chang — Hidden by Composition (CH-040)
2026 INC Seoul
MinJi Park — network structure of frailty, intrinsic capacity and quality of life (CH-045)
23 Oct
Korean Association of Gerontological Societies — Annual Conference
Hosted with the Korean Gerontological Society  한국노인과학학술단체연합회
Attended for cross-disciplinary exchange on ageing research in Korea.
INRC 2026 · Hilton Tokyo — oral presentation
INRC 2026 · Hilton Tokyo — oral presentation
Omuta City Hall · Fukuoka — dementia care policy visit
Omuta City Hall · Fukuoka — dementia care policy visit
Frida Kahlo Exhibition Outing
Frida Kahlo Exhibition Outing
Lotus Pond Walk · Jinju
Lotus Pond Walk · Jinju
Lab Celebration
Lab Celebration
Field Visit — Jinju Panorama
Field Visit — Jinju Panorama
Plum Blossom Grove Outing · Jinju
Plum Blossom Grove Outing · Jinju
Jeju Island Workshop
Jeju Island Workshop
Contact

Get in Touch

We welcome collaborations with researchers, clinicians, and community partners committed to healthy aging and digital health innovation.

Principal Investigator
Chang HeeKyung
RN, OCN, Ph.D. · Professor
Email
hchang@gnu.ac.kr
Mobile
+82-10-9609-6309
Office
+82-55-772-3041
Address
College of Nursing, GNU
33 Dongjin-ro
Jinju, Gyeongnam 52725, Korea
ORCID
0000-0003-3581-9430
Research Team
Chang HeeKyung (PI)
hchang@gnu.ac.kr
Park Min Ji
doogroop@gnu.ac.kr
Seo Ju Hee
sjh6037@gnu.ac.kr
Do Youngjoo
youngjoo@masan.ac.kr
Upcoming Events
Sigma 38th INRC 2027
Dublin, Ireland · 15–18 July 2027 · Evidence That Connects
IFNC18 · 18th International Family Nursing Conference
Porto, Portugal · 20–23 July 2027