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Record W4367833930 · doi:10.1111/ggi.14590

Use of the telephone, a universally implemented communication tool, in building peer support networks for people with cognitive decline

2023· letter· en· W4367833930 on OpenAlexaboutno aff
Chiaki Ura, Ai Iizuka, Mari Yamashita, Koki Ito, Tsuyoshi Okamura

Bibliographic record

VenueGeriatrics and gerontology international/Geriatrics & gerontology international · 2023
Typeletter
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsSocial isolationOutreachCognitive declineDementiaGerontologyMedicineCognitionSocial supportPeer supportIsolation (microbiology)PsychologyPsychiatryDiseaseSocial psychologyPolitical science

Abstract

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Our community-based participatory research (CBPR), which consists of an epidemiological survey and action research in Tokyo, found that (1) 45% of older residents with cognitive decline in the community live alone; (2) 60% of the community residents with cognitive decline had no dementia diagnosis; (3) residents with more complex social support needs had no dementia diagnosis.1 During the COVID-19 pandemic, the social isolation of these groups was accelerated: 35% of the people with cognitive decline experienced social isolation, and 44% of them reported worries about worsening cognitive decline.2 In order to combat social isolation among these community residents, we launched the emergency telephone outreach operation, as the telephone is a traditional but reliable tool that can prevent social isolation.3 Thus, many older residents welcomed the telephone outreach; however, they complained about limited human contact.4 Residents with cognitive decline were significantly less likely to interact with others compared with residents without cognitive decline.5 Our real-world experience revealed that community residents with cognitive decline were physically/cognitivelly fragile owing to social isolation. Building peer support through telephone interactions may be effective in preventing the isolation of older people with cognitive decline, but there is little evidence to support this hypothesis. We report a pilot study examining the effects of peer support using regular telephone calls among elderly people with cognitive decline living in urban areas. Participants were 17 elderly people (4 males and 13 females) aged 65 or older who attended an introductory class using the traditional Asian board game “Go” in our CBPR center. A paired novice and an experienced person talked on the phone once a week about several issues, including Go, for 3 months between January 2022 and April 2022. Thereafter, a self-administered questionnaire (4 items, 4-point scale) evaluating the telephone interaction and semi-structured interviews were conducted (see Supporting Information). Interviews were recorded, transcribed, and analyzed using the qualitative descriptive approach.6 The Ethics Committee of the Tokyo Metropolitan Institute of Gerontology approved the study, and the participants' written consent was obtained. The participants' mean age was 80.1 ± 5.5 years, and the mean score of the Japanese version of the Montreal Cognitive Assessment, which screens for mild cognitive impairment, was 21.3 ± 3.1, with 16 subjects (94.1%) scoring below the cut-off value of 25. The percentages of “agree” or “somewhat agree” responses indicated that the telephone interaction was “enjoyable” (94.1%), a “burden” (5.9%), and “had a positive effect” (88.2%), and that the participants “would like to talk on the phone sometime in the future” (76.5%). In the interviews, the positive responses were “(Because I was looking forward to the phone call so eagerly) I couldn't wait for the phone call”; “It was easy to talk because we had a common topic”; “We talked about things other than Go”; and “I want to go out with my pair partner”, while others were “I was careful about what to talk about” and “It was difficult to maintain psychological distance from my pair partner.” One man with Parkinson's disease usually went out only for shopping and often lay in bed at home. He was invited by an acquaintance to attend a Go class, but at first he did not have the confidence to continue because Go was too difficult. However, the woman he paired with over the phone always encouraged him to continue playing Go by kindly teaching him about Go and taking care of his health. He gradually became interested in Go and talked with her on the phone for nearly an hour each time. He is very grateful for having been paired with her. Our pilot study suggests that peer support using regular telephone calls would be effective in preventing social isolation among older residents with cognitive decline. Although this project originated from an emergency project during the COVID-19 pandemic, promoting telephone interaction, a universally available communication tool among older residents, would be one strategy to establish dementia-friendly communities. We would like to thank Editage (www.editage.com) for English language editing. This work was supported by JSPS KAKENHI grant number JP21K19687. There are no conflicts of interest by any author for this study. The data that support the findings of this study are available from the corresponding author upon reasonable request. Data S1. (1) Self-administered questionnaire on the evaluation of telephone interaction and (2) questionnaire for the semi-structured interviews. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.382
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2023
Admission routes1
Has abstractyes

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