Evidence map›Paper›PMID 37725429›Full record

ArticleJMIR formative research2023

User Evaluation of a Chat-Based Instant Messaging Support Health Education Program for Patients With Chronic Kidney Disease: Preliminary Findings of a Formative Study.

Nai-Jung Chen, Chiu-Mieh Huang, Ching-Chih Fan, Li-Ting Lu, Fen-He Lin, Jung-Yu Liao, Jong-Long Guo

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05665517 (User Evaluation of a Chat-based Instant Messaging Support Health Education Program for Chronic Kidney Disease), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 4% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05665517 nacompletednot on this map

User Evaluation of a Chat-based Instant Messaging Support Health Education Program for Chronic Kidney Disease: Effectiveness and Gender Differences

TypeinterventionalSponsorNational Taiwan Normal UniversityRan2020 to 2020Enrolled55ConditionsChronic Kidney DiseaseArmsChatbot Little K Nurse
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Decoding Natural Language Processing and Large Language Models in Kidney Health.Clinical journal of the American Society of Nephrology : CJASN · 2026
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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 at 4 institutions in 1 country.

Nai-Jung ChenDepartment of Health Promotion and Health Education, College of Education, National Taiwan Normal University, Taipei, Taiwan.ORCID https://orcid.org/0009-0006-8318-3042
Chiu-Mieh Huang *Institute of Clinical Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID https://orcid.org/0000-0001-9143-9972
Ching-Chih FanDepartment of Community Medicine, En Chu Kong Hospital, New Taipei, Taiwan.ORCID https://orcid.org/0000-0001-7791-0123
Li-Ting LuDepartment of Nursing, University of Kang Ning, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-1742-7476
Fen-He LinInstitute of Clinical Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-7300-4622
Jung-Yu LiaoDepartment of Health Promotion and Health Education, College of Education, National Taiwan Normal University, Taipei, Taiwan.ORCID https://orcid.org/0000-0001-5083-9531
Jong-Long Guo *Department of Health Promotion and Health Education, College of Education, National Taiwan Normal University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-3120-014X
National Taiwan Normal University · TWNational Yang Ming Chiao Tung University · TWEn Chu Kong Hospital · TWUniversity of Kang Ning · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence-driven chatbots are increasingly being used in health care, but few chat-based instant messaging support health education programs are designed for patients with chronic kidney disease (CKD) to evaluate their effectiveness. In addition, limited research exists on the usage of chat-based programs among patients with CKD, particularly those that integrate a chatbot aimed at enhancing the communication ability and disease-specific knowledge of patients.

objectiveThe objective of this formative study is to gather the data necessary to develop an intervention program of chat-based instant messaging support health education for patients with CKD. Participants' user experiences will form the basis for program design improvements.

methodsData were collected from April to November 2020 using a structured questionnaire. A pre-post design was used, and a total of 60 patients consented to join the 3-month program. Among them, 55 successfully completed the study measurements. The System Usability Scale was used for participant evaluations of the usability of the chat-based program.

resultsPaired t tests revealed significant differences before and after intervention for communicative literacy (t

conclusionsThe findings reveal that a chat-based instant messaging support health education program may be effective for middle-aged and older patients with CKD. The use of a chat-based program with multiple promoting approaches is promising, and users' evaluation is satisfactory.

trial registrationClinicalTrials.gov NCT05665517; https://clinicaltrials.gov/study/NCT05665517.

Indexed as

chatbotchronic kidney diseasehealth educationpush notificationusers’ evaluation

Identifiers

PMID37725429
PMCPMC10548329
OpenAlexW4385558918

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.