Evidence map›Paper›PMID 35270211›Full record

ArticleInternational journal of environmental research and public health2022

Exploring Unmet Information Needs of People with Parkinson's Disease and Their Families: Focusing on Information Sharing in an Online Patient Community.

Hyeon Sik Chu, Hye Young Jang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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.

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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Hyeon Sik ChuSchool of Nursing, Hanyang University, 222 Wangsimni-ro Seongdong-gu, Seoul 04763, Korea.ORCID 0000-0002-6918-4296
Hye Young JangSchool of Nursing, Hanyang University, 222 Wangsimni-ro Seongdong-gu, Seoul 04763, Korea.
Hanyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine the unmet information needs of people with Parkinson's disease and their family members by analyzing Parkinson's disease-related posts in online communities. Data were collected from one of the largest online people with Parkinson's disease communities used in South Korea. The word cloud, the main questions from the free-posting messages, as well as the frequently asked symptoms and side effects of the medication, were analyzed using content analysis. The commonly mentioned main questions from the free-posting messages have pertained to treatment-related information, such as effects and side effects of medication, deep brain stimulation, and complementary and alternative medicine. People with Parkinson's disease and their families depend not only on health care providers but also on using online communities to find the information that they need. However, there is a need for treatment-specific information, such as anti-Parkinson drugs, deep brain stimulation, and complementary alternative therapies. As for the method of providing information for people with Parkinson's disease and their families, it will be effective to provide tailored education services using online communities and social media by using their information needs and preferred resources.

Indexed as

Parkinson DiseaseFamilyHealth PersonnelHumansInformation DisseminationRepublic of Koreaaccess to informationcaregiversonline communityParkinson diseasepatient-centered care

Identifiers

PMID35270211
PMCPMC8909842
OpenAlexW4212826319

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.