Evidence map›Paper›PMID 36115943›Full record

ArticleBMC primary care2022

Using social media data in diabetes care: bridging the conceptual gap between health providers and the network population.

Ru-Hsueh Wang, Yu-Wen Hong, Chia-Chun Li, Siao-Ling Li, Jenn-Long Liu, Chih-Hsing Wu, Ching-Ju Chiu

Abstract read
In one paragraph

Article in BMC primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

7 authors.

Ru-Hsueh WangDepartment of Family Medicine, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Yu-Wen HongInstitute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chia-Chun LiInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Siao-Ling LiInstitute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Jenn-Long LiuDepartment of Information Management, I-Shou University, Kaohsiung, Taiwan.
Chih-Hsing WuDepartment of Family Medicine, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan. paulo@mail.ncku.edu.tw.
Ching-Ju ChiuInstitute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan. cjchiu@mail.ncku.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with diabetes who have poor health literacy about the disease may exhibit poor compliance and thus subsequently experience more complications. However, the conceptual gap of diabetes between health providers and the general population is still not well understood. Decoding concerns about diabetes on social media may help to close this gap.

methodsSocial media data were collected from the OpView social media platform. After checking the quality of the data, we analyzed the trends in people's discussions on the internet using text mining. The natural language process includes word segmentation, word counting and counting the relationships between the words. A word cloud was developed, and clustering analyses were performed.

resultsThere were 19,565 posts about diabetes collected from forums, community websites, and Q&A websites in the summer (June, July, and August) of 2017. The three most popular aspects of diabetes were diet (33.2%), life adjustment (21.2%), and avoiding complications (15.6%). Most discussions about diabetes were negative. The negative/positive ratios of the top three aspects were avoiding complications (7.60), problem solving (4.08), and exercise (3.97). In terms of diet, the most popular topics were Chinese medicine and special diet therapy. In terms of life adjustment, financial issues, weight reduction, and a less painful glucometer were discussed the most. Furthermore, sexual dysfunction, neuropathy, nephropathy, and retinopathy were the most worrisome issues in avoiding complications. Using text mining, we found that people care most about sexual dysfunction. Health providers care about the benefits of exercise in diabetes care, but people are mostly concerned about sexual functioning.

conclusionA conceptual gap between health providers and the network population existed in this real-world social media investigation. To spread healthy diabetic education concepts in the media, health providers might wish to provide more information related to the network population's actual areas of concern, such as sexual function, Chinese medicine, and weight reduction.

Indexed as

Diabetes MellitusSexual Dysfunction, PhysiologicalSocial MediaData MiningHumansWeight LossDiabetesOpViewSentiment analysisSocial mediaText mining

Identifiers

PMID36115943
PMCPMC9482184

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.