Evidence map›Paper›PMID 41583966›Full record

ArticleJournal of Korean gerontological nursing2023

Development of an Internet of things-based treatment adherence program among older adults with mild cognitive impairment using Intervention Mapping: A developmental study.

Jinhee Shin, Eunhee Cho, Gwang Suk Kim, Heejung Kim, Byoung Seok Ye, Chang-Gi Park

Abstract read
In one paragraph

Article in Journal of Korean gerontological nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jinhee ShinAssistant Professor, Woosuk University College of Nursing, Wanju, Korea.ORCID 0000-0001-5715-3815
Eunhee ChoProfessor, Mo-Im Kim Nursing Research Institute · Yonsei University College of Nursing, Seoul, Korea.ORCID 0000-0002-7871-6848
Gwang Suk KimProfessor, Mo-Im Kim Nursing Research Institute · Yonsei University College of Nursing, Seoul, Korea.ORCID 0000-0001-9823-6107
Heejung KimAssociate Professor, Mo-Im Kim Nursing Research Institute · Yonsei University College of Nursing, Seoul, Korea.ORCID 0000-0003-3719-0111
Byoung Seok YeAssociate Professor, Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0003-0187-8440
Chang-Gi ParkResearch Assistant Professor, Department of Population Health Nursing Science · Office of Research Facilitation, College of Nursing, University of Illinois Chacago, Chicago, IL, USA.ORCID 0000-0003-3366-4279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Dementia and altered cognitive function are highly prevalent among older adults with mild cognitive impairment (MCI); hence, prevention is necessary before it develops into dementia. Treatment adherence-medication adherence and physical activity-is essential to prevent and delay dementia; however, comprehensive interventions to promote it in this population are lacking. This study aimed to develop a program for treatment adherence utilizing an Internet of Things (IoT) device. Methods: The six-step mapping protocol was used to develop the IoT-based treatment adherence intervention (ITAI). The intervention was based on a literature review, expert opinions, and input from older adults with MCI. Results: In Step 1, a needs assessment was conducted to gain insights into health problems and their underlying determinants. In Steps 2 and 3, performance objectives were identified for behavior change and selected theoretical and evidence-based methods were linked to the intervention outcomes. In Step 4, the ITAI was designed with components and materials consistent with the identified change goals and methods, and specific intervention components were developed. In Step 5, implementation plans and solutions to barriers to its application were identified. In Step 6, the plan to evaluate intervention effectiveness was outlined. Conclusion: The Intervention Mapping provided a systematic procedure for developing an ITAI for older adults with MCI and preparing a randomized controlled trial. Utilizing Intervention Mapping is useful as ITAI systematically processes treatment adherence for MCI using the IoT and is acceptable and valid. ITAI is expected to increase medication adherence and physical activity in older adults with MCI.

Indexed as

AgedCognitive dysfunctionInternet of thingsMethodsTreatment adherence and compliance

Identifiers

PMID41583966
PMCPMC12384231

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.