Cited by 17Technology Use by Older AdultsTelemedicine and Telehealth ImplementationSocial Policies and Healthcare Reform

The DOI matches its Crossref record; the references it cites are not checked yet.

Perceptions of registered nurses on facilitators and barriers of implementing the AI-IoT-based healthcare pilot project for older adults during the COVID-19 pandemic in South Korea

Open access
Boo, Sunjoo, Oh, Hyunjin·2023·Frontiers in Public Health

Abstract

Objective: This study explored the perceptions of registered nurses on the facilitators and barriers to implementing an AI/IoT (Artificial Intelligence/Internet of Things)-based healthcare pilot project, designed to prevent frailty and improve health behaviors by providing Bluetooth-enabled smart devices (including blood pressure and blood glucose meters) for the older adults aged over 65 years and above in South Korea. Methods: Using a qualitative descriptive methodology, interviews and qualitative surveys were conducted with 15 registered nurses from 11 public health centers. Data were analyzed using qualitative content analysis. Results: The study found that the AI·IoT-based healthcare pilot project was well received by participants, leading to increased client satisfaction and improved health behaviors. Government support and funding were crucial facilitators of project implementation. However, technical challenges and disparities in digital literacy among older adults pose significant barriers. Conclusion: The findings highlight the potential of AI·IoT technologies in improving the healthcare of older adults. Efforts to address technological challenges and enhance digital literacy among vulnerable populations are necessary for successfully implementing such interventions. Government support and ongoing training for healthcare professionals can help optimize the AI·IoT-based healthcare services for older adults.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fpubh.2023.1234626

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

The citation lists haven’t been fetched yet

References 27 · Cited by 17

Research works printed but not linked: 27

  1. Chin, 2021, Long-term monitoring of changes in blood pressure, blood glucose, and Total cholesterol levels among frail older individuals receiving home health care nursing in South Korea, J Commun Health Nurs, 38, 13, 10.1080/07370016.2021.1869424 · DOI
  2. Kim, 2021, Current status of long-term care visiting nursing services in Korea_ based on the 2020 working conditions survey of long-term care visiting nursing services, J Korean Acad Soc Home Care Nurs, 1, 59, 10.22705/jkashcn.2021.28.1.59 · DOI
  3. Bastani, 2021, Factors influencing access and utilization of health services among older people during the COVID-19 pandemic: a scoping review, Archives Public Heal, 79, 190, 10.1186/s13690-021-00719-9 · DOI
  4. Lee, 2022, A culturally and linguistically appropriate telephone support intervention for diverse family caregivers of persons with dementia during the COVID-19 pandemic, J Fam Nurs, 28, 231, 10.1177/10748407221106531 · DOI
  5. Matthew-Maich, 2016, Designing, implementing, and evaluating mobile health technologies for managing chronic conditions in older adults: a scoping review, JMIR Mhealth Uhealth, 4, e29, 10.2196/mhealth.5127 · DOI
  6. Shanbehzadeh, 2021, Systematic review on telemedicine platforms in lockdown periods: lessons learned from the COVID-19 pandemic, J Educ Heal Promot, 10, 211, 10.4103/jehp.jehp_1419_20 · DOI
  7. Sandelowski, 2000, Whatever happened to qualitative description?, Res Nurs Health, 23, 334, 10.1002/1098-240X(200008)23:4<334::AID-NUR9>3.0.CO;2-G · DOI
  8. Sandelowski, 2010, What’s in a name?, Qualitative Descript Revis Res Nurs Heal, 33, 77, 10.1002/nur.20362 · DOI · Paper page
  9. Taboada, 2021, Implementing goal mama: barriers and facilitators to introducing mobile health technology in a public health nurse home-visiting program, Global Qual Nurs Res, 8, 233339362110144, 10.1177/23333936211014497 · DOI
  10. Menser, 2020, A community health worker home visit program: facilitators and barriers of program implementation, J Health Care Poor U, 31, 370, 10.1353/hpu.2020.0028 · DOI
  11. Braun, 2020, The online survey as a qualitative research tool, Int J Soc Res Method, 24, 641, 10.1080/13645579.2020.1805550 · DOI · Paper page
  12. Hsieh, 2005, Three approaches to qualitative content analysis, Qual Health Res, 15, 1277, 10.1177/1049732305276687 · DOI · Paper page
  13. Graneheim, 2004, Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness, Nurse Educ Today, 24, 105, 10.1016/j.nedt.2003.10.001 · DOI · Paper page
  14. Liu, 2020, Use of Mobile health applications in low-income populations, Circulation Cardiovasc Qual Outcomes, 13, e007031, 10.1161/circoutcomes.120.007031 · DOI
  15. Mahmood, 2019, Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions, Digit Heal, 5, 2055207619882181, 10.1177/2055207619882181 · DOI
  16. Back, 2016, Job analysis of geriatric visiting nurses, J Korean Acad Soc Home Care Nurs, 1, 80, 10.22705/jkashcn.2016.23.1.080 · DOI
  17. Choukou, 2021, Digital health technology for indigenous older adults: a scoping review, Int J Méd Inform, 148, 104408, 10.1016/j.ijmedinf.2021.104408 · DOI
  18. Berry, 2004, Vision and hearing loss in older adults: double trouble, Care Manag J, 5, 35, 10.1891/cmaj.5.1.35.61260 · DOI
  19. Petrovčič, 2018, Smart but not adapted enough: heuristic evaluation of smartphone launchers with an adapted interface and assistive technologies for older adults, Comput Hum Behav, 79, 123, 10.1016/j.chb.2017.10.021 · DOI
  20. Litchfield, 2021, Impact of COVID-19 on the digital divide: a rapid review, BMJ Open, 11, e053440, 10.1136/bmjopen-2021-053440 · DOI
  21. Rogers, 2016, Bridging the 21st century digital divide, TechTrends, 60, 197, 10.1007/s11528-016-0057-0 · DOI
  22. Oh, 2017, Predictors of smartphone uses for health information seeking in the Korean elderly, Soc Work Public Hlth, 33, 43, 10.1080/19371918.2017.1391150 · DOI
  23. Ramsetty, 2020, Impact of the digital divide in the age of COVID-19, J Am Medical Informatics Assoc Jamia, 27, 1147, 10.1093/jamia/ocaa078 · DOI · Paper page
  24. Hall, 2015, The digital health divide, Heal Educ Behav, 42, 202, 10.1177/1090198114547815 · DOI
  25. Kaihlanen, 2022, Towards digital health equity - a qualitative study of the challenges experienced by vulnerable groups in using digital health services in the COVID-19 era, BMC Health Serv Res, 22, 188, 10.1186/s12913-022-07584-4 · DOI
  26. Jang, 2021, The effects of willingness to use technology, digital alienation and assistant experiences on the life satisfaction of elderly consumers, J Digit Conver, 19, 133, 10.14400/jdc.2021.19.10.133 · DOI
  27. Cueto, 2019, Impact of a mobile app-based health coaching and behavior change program on participant engagement and weight status of overweight and obese children: retrospective cohort study, JMIR Mhealth Uhealth, 7, e14458, 10.2196/14458 · DOI

Metadata

Authors
Boo, S., & Oh, H.
Affiliations
Gachon University (KR)
Corresponding author
Oh, Hyunjin
Venue
Frontiers in Public Health
Published
2023-10-10
Volume
11
Pages
1234626-1234626
ISSN
2296-2565 (ISSN-L)
OpenAlex
W4387495276
Cited by
17
References
27
Citations by year
2026: 4 · 2025: 8 · 2024: 5
FWCI
9.90
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Social Sciences › Health › Social Policies and Healthcare Reform
Keywords
artificial intelligence, Internet of Things, older adults, frailty prevention, health behavior, remote blood pressure monitoring, digital literacy, implementation barriers, implementation facilitators, registered nurses' perceptions, COVID-19 pandemic, government support, public health centers, South Korea
MeSH terms
COVID-19, Aged, Artificial Intelligence, Humans, Nurses, Pilot Projects, Patient Satisfaction, Republic of Korea, Pandemics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Perceptions of registered nurses on facilitators and barriers of implementing the AI-IoT-based healthcare pilot project for older adults during the COVID-19 pandemic in South Korea. https://app.cochat.ai/papers/10.3389/fpubh.2023.1234626
The paper
Boo, S., & Oh, H. (2023). Perceptions of registered nurses on facilitators and barriers of implementing the AI-IoT-based healthcare pilot project for older adults during the COVID-19 pandemic in South Korea. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2023.1234626