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

Abstract Introduction: Crowdsourcing is a method of data collection with possible benefits in assessing perceptions of mental illness in a large US population. Methods: The 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. Results: Respondents (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 cowor...