Evidence map›Paper›PMID 32469318›Full record

Observational studyJournal of medical Internet research2020

Multidimensional Feature Classification of the Health Information Needs of Patients With Hypertension in an Online Health Community Through Analysis of 1000 Patient Question Records: Observational Study.

Aijing Luo, Zirui Xin, Yifeng Yuan, Tingxiao Wen, Wenzhao Xie, Zhuqing Zhong, Xiaoqing Peng, Wei Ouyang, Chao Hu, Fei Liu and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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.

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

7 citing papers in PubMed.

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  7. Motivation Research on the Content Creation Behaviour of Young Adults in Anxiety Disorder Online Communities.International journal of environmental research and public health · 2021
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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

12 authors.

Aijing LuoThe Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0001-5890-3470
Zirui XinThe Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-3304-6112
Yifeng YuanThe Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-2787-0458
Tingxiao WenSchool of Life Sciences, Central South University, Changsha, China.ORCID 0000-0001-6963-5897
Wenzhao XieThe Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-2153-3829
Zhuqing ZhongThe Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-0157-364X
Xiaoqing PengThe Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-7581-117X
Wei OuyangThe Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-6373-9350
Chao HuKey Laboratory of Medical Information Research, Central South University, College of Hunan Province, Changsha, China.ORCID 0000-0003-3606-2900
Fei LiuThe Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-3353-364X
Yang ChenThe Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-1444-3123
Haiyan HeThe Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-2199-4035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rapid development of online health communities, increasing numbers of patients and families are seeking health information on the internet.

objectiveThis study aimed to discuss how to fully reveal the health information needs expressed by patients with hypertension in their questions in a web-based environment and how to use the internet to help patients with hypertension receive personalized health education.

methodsThis study randomly selected 1000 text records from the question data of patients with hypertension from 2008 to 2018 collected from Good Doctor Online and constructed a classification system through literature research and content analysis. This paper identified the background characteristics and questioning intention of each patient with hypertension based on the patient's question and used co-occurrence network analysis and the k-means clustering method to explore the features of the health information needs of patients with hypertension.

resultsThe classification system for the health information needs of patients with hypertension included the following nine dimensions: drugs (355 names), symptoms and signs (395 names), tests and examinations (545 names), demographic data (526 kinds), diseases (80 names), risk factors (37 names), emotions (43 kinds), lifestyles (6 kinds), and questions (49 kinds). There were several characteristics of the explored web-based health information needs of patients with hypertension. First, more than 49% of patients described features, such as drugs, symptoms and signs, tests and examinations, demographic data, and diseases. Second, patients with hypertension were most concerned about treatment (778/1000, 77.80%), followed by diagnosis (323/1000, 32.30%). Third, 65.80% (658/1000) of patients asked physicians several questions at the same time. Moreover, 28.30% (283/1000) of patients were very concerned about how to adjust the medication, and they asked other treatment-related questions at the same time, including drug side effects, whether to take the drugs, how to treat the disease, etc. Furthermore, 17.60% (176/1000) of patients consulted physicians about the causes of clinical findings, including the relationship between the clinical findings and a disease, the treatment of a disease, and medications and examinations. Fourth, by k-means clustering, the questioning intentions of patients with hypertension were classified into the following seven categories: "how to adjust medication," "what to do," "how to treat," "phenomenon explanation," "test and examination," "disease diagnosis," and "disease prognosis."

conclusionsIn a web-based environment, the health information needs expressed by Chinese patients with hypertension to physicians are common and distinct, that is, patients with different background features ask relatively common questions to physicians. The classification system constructed in this study can provide guidance to health information service providers for the construction of web-based health resources, as well as guidance for patient education, which could help solve the problem of information asymmetry in communication between physicians and patients.

Indexed as

AdolescentAdultAgedFemaleHumansHypertensionInternetMaleMedical InformaticsMiddle AgedPublic HealthReferral and ConsultationSurveys and QuestionnairesYoung Adulthealth information needsonline health communitypatients with hypertensionphysician-patient communication

Identifiers

PMID32469318
PMCPMC7293056

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.