Evidence map›Paper›PMID 30206506›Full record

ArticleThe mental health clinician2018

Evaluation of perceptions and knowledge of mental illness in the United States through crowdsourcing.

Emma C Palmer, Amber R Douglass, Thomas Smith, David G Fuentes

Open access · goldAbstract read
In one paragraph

Article in The mental health clinician, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 3 institutions in 1 country.

Emma C Palmer(Corresponding author) Assistant Professor, Clinical and Administrative Sciences, Sullivan University College of Pharmacy, Louisville, Kentucky, emmaclairepalmer@gmail.com.ORCID 0000-0002-7340-2452
Amber R DouglassClinical Pharmacy Specialist - Mental Health, Tennessee Valley Healthcare System, Murfreesboro, Tennessee.ORCID 0000-0001-5960-1941
Thomas SmithAssistant Professor of Pharmacy Practice, Manchester University College of Pharmacy, Fort Wayne, Indiana.ORCID 0000-0003-0258-9165
David G FuentesProfessor and Department Chair, California Health Sciences University, Clovis, California.ORCID 0000-0002-3905-5338
Manchester University · USSullivan University · USVA Tennessee Valley Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCrowdsourcing is a method of data collection with possible benefits in assessing perceptions of mental illness in a large US population.

methodsThe objective was to describe perceptions and trends of stigma surrounding mental illness in the United States using crowdsourcing. An online survey was conducted evaluating adults in the United States recruited via the online resource Amazon Mechanical Turk. Questions evaluated demographics and perceptions of mental illness. Survey data were adjusted for demographic variables and compared via logistic regression.

resultsRespondents (n = 1422) were predominately 18 to 30 years of age (n = 743; 52.3%) and white (n = 1101; 77.4%). Over half reported an individual close to them had mental illness (n = 932; 65.5%), and more than one quarter (n = 397; 27.9%) reported having a current or previous mental illness. Non-whites were less likely to agree that: medications are effective (odds ratio [OR] 0.63); they would be comfortable around a coworker with mental illness (OR 0.66); and mental illness is inheritable (OR 0.74). They are also more likely to agree that mental illness is preventable (OR 1.49). Individuals reporting mental illness were more likely to agree that medications (OR 1.34; 95% confidence interval 1.03 to 1.74) and talk therapy (OR 1.46; 95% confidence interval 1.12 to 1.90) are effective. Those reporting DISCUSSION: Crowdsourcing may be an effective way to obtain information regarding demographics, stigma, and mental illness. Personal experiences with mental illness, ethnicity, and educational level appear to continue to impact perceptions of mental illness.

Indexed as

crowdsourcingmental illnessstigma

Identifiers

PMID30206506
PMCPMC6125116
OpenAlexW2890322826

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.