Evidence map›Paper›PMID 40598482›Full record

ArticleBMC nursing2025

Feasibility and adherence to ecological momentary assessment among community-dwelling adults with suicide risk.

Hyein Kim, Seongae Kwon, Sunyoung Park, Chaehyeon Kang, Heejung Kim

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
  2. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hyein KimNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Seongae KwonCollege of Nursing, Yonsei University, Seoul, South Korea.
Sunyoung ParkDepartment of Psychiatry, National Health Insurance Service Ilsan Hospital, Gyeonggi, South Korea.
Chaehyeon KangBrain Korea 21 FOUR Project, Yonsei University College of Nursing, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Heejung KimCollege of Nursing, Yonsei University, Seoul, South Korea. hkim80@yuhs.ac.ORCID http://orcid.org/0000-0003-3719-0111

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEcological momentary assessment (EMA) has seen increasing application in mental health research. However, there is a challenge in applying EMA to assess daily suicide risk in community settings due to poor adherence to the complex protocol and high dropout rates. The aim of this study is to assess the feasibility and adherence to the EMA when monitoring the daily risk of suicide in community-dwelling adults with suicidal ideation.

methodsThis secondary analysis was based on primary data from an observational study. The study participants with suicidal ideation responded to a 28-day EMA online survey and pressed an event marker on an actigraphic device when feeling strong suicidal impulses. Feasibility was evaluated using the EMA response rate and actigraphic device adherence rate based on descriptive statistics. Mental health characteristics related to feasibility were assessed in self-reporting questionnaires, and nonparametric correlation coefficients were identified to assess the relevance to feasibility.

resultsA total of 22 participants were enrolled, with 20 remaining in the final sample (90.9%). The average EMA response rate was 82.05%, decreasing from 86.96% during the first 2 weeks to 76.31% in the second 2 weeks. The Actiwatch adherence rate was maintained at 98.1%. Actiwatch adherence and EMA response rates were moderately correlated (r =.53, p =.016). Higher depression and anxiety scores were associated with lower Actiwatch adherence, whereas a higher perceived stress score was associated with lower EMA response rates. The peak of suicidal impulse patterns in event button activations usually occurred between 9 to 10 pm, while activations were lowest in the early morning hours, particularly between 4 and 6 am. DISCUSSION: This study indicated that EMA using smartphones and actigraphic devices were feasible to monitor suicidal ideation and impulse for a month in community-dwelling adults; thus, it could be a complementary tool to assess daily suicide risk. However, there are still challenges to be overcome when EMA-based monitoring in the community is used for those with mental vulnerability. Thus, mental health professionals should carefully tailor the pros and cons of EMA based on our findings to enhance this vulnerable group's participation and adherence to EMA for suicide prevention.

Indexed as

Community health nursingFeasibility studiesPsychiatric nursingSuicidal ideationSuicidal impulseSuicide preventionTelemedicine

Identifiers

PMID40598482
PMCPMC12211223

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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.