Crowdsourcing Trauma: Psychopathology in a Trauma-Exposed Sample Recruited via Mechanical Turk.
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ABSTRACT:
SUBMITTER: van Stolk-Cooke K
PROVIDER: S-EPMC6107385 | biostudies-literature | 2018 Aug
REPOSITORIES: biostudies-literature
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Project description:ObjectivesMore patients are receiving their test results via patient portals. Given test results are written using medical jargon, there has been concern that patients may misinterpret these results. Using sample colonoscopy and Pap smear results, our objective was to assess how frequently people can identify the correct diagnosis and when a patient should follow up with a provider.MethodsWe used Mechanical Turk-a crowdsourcing tool run by Amazon that enables easy and fast gathering of users to perform tasks like answering questions or identifying objects-to survey individuals who were shown six sample test results (three colonoscopy, three Pap smear) ranging in complexity. For each case, respondents answered multiple choice questions on the correct diagnosis and recommended return time.ResultsAmong the three colonoscopy cases (n = 642) and three Pap smear cases (n = 642), 63% (95% confidence interval [CI]: 60-67%) and 53% (95% CI: 49-57%) of the respondents chose the correct diagnosis, respectively. For the most complex colonoscopy and Pap smear cases, only 29% (95% CI: 23-35%) and 9% (95% CI: 5-13%) chose the correct diagnosis.ConclusionPeople frequently misinterpret colonoscopy and Pap smear test results. Greater emphasis needs to be placed on assisting patients in interpretation.
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Project description:BackgroundIt has recently been attempted in the literature to analyze the aesthetic outcomes of syndactyly web space reconstruction utilizing dorsal pentagonal advancement flaps and dorsal rectangular flaps with skin grafting. The study utilized a categorical grading system for evaluating the aesthetic outcomes of reconstruction to be used in conjunction with a visual analog scale (VAS), which has yet to be validated in the assessment of aesthetic outcomes following web space reconstruction.ObjectivesTo utilize crowdsourced public perceptions to validate the grading of aesthetic outcomes in web space reconstruction for finger syndactyly.MethodsA prospective study was conducted of random volunteers recruited through an internet crowdsourcing service to gain responses for a survey to analyze patient opinions toward the aesthetic outcomes of web space reconstruction. Outcomes were graded based on descriptions of the appearance, color, matte, and distortion of the reconstruction.ResultsThe excellent dorsal flap demonstrated a mean VAS score of 6.66 (95% confidence interval [CI] = 6.45-6.87), and the very good, good, and poor dorsal flaps had mean VAS scores of 5.94 (95% CI = 5.73-6.15), 4.98 (95% CI = 4.77-5.19), and 3.55 (95% CI = 3.31-3.79), respectively. The odds ratio for receiving an excellent rating was 4.21 (95% CI = 3.04-5.82) for excellent dorsal flap with P < 0.0001.ConclusionsThis study confirms and validates the assessment of aesthetic outcomes of web space reconstruction by the Yuan Grading Scale. This evidence may guide future practice such that recommendations can be made to align with the aesthetic preferences of the patient.
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Project description:BACKGROUND:Two randomized controlled trials (RCTs) were conducted to explore the utility of the Mechanical Turk (MTurk) crowdsourcing platform to conduct rapid trials evaluating online interventions for unhealthy alcohol use. METHODS:Both trials employed a staged recruitment procedure where participants who drank in an unhealthy fashion were identified using a baseline survey and then invited to take part in a 6-month follow-up. Participants in both trials were randomized to receive one of several different online interventions or to a no intervention control condition. In study 1, the online interventions were password protected and only those who accessed the study portal were randomized to condition. In study 2, participants were directed to free-of charge interventions and asked to send a screenshot of the intervention to demonstrate that they had complied. RESULTS:Participants reporting unhealthy alcohol use were recruited fairly rapidly. Large numbers of screeners were completed (Study 1: n?=?4910; Study 2: n?=?5812), found eligible (Study 1: n?=?3741; Study 2: n?=?4095), and randomized to condition (Study 1: n?=?511; Study 2: n?=?878). Fair follow-up rates were observed at 6?months for each study (Study 1: 82%; Study 2: 66%). Neither trial was able to clearly demonstrate that providing access to the online interventions lead to increased reductions in alcohol use as compared to the control group. CONCLUSIONS:While recruitment through a crowdsourcing platform is rapid and relatively low cost, it is possible that the lack of impact of the online websites employed in these trials could be due to the source of participants rather than the lack of efficacy of the interventions. TRIAL REGISTRATION:ClinicalTrials.gov # NCT02977026 and NCT03060135 .
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Project description:OBJECTIVE:Distress tolerance (DT; the perceived or actual ability to withstand negative internal states) has emerged as a promising transdiagnostic risk factor in clinically severe populations. However, little is known about etiological factors associated with the development of DT. We hypothesized that greater levels of childhood trauma would be associated with lower perceived and behavioral DT, beyond theoretically relevant covariates. METHOD:The current investigation evaluated several childhood trauma types (i.e., physical abuse, sexual abuse, emotional abuse, physical neglect, and emotional neglect) in relation to perceived (i.e., self-report) and behavioral DT in a sample of 87 trauma-exposed adults in acute-care psychiatric inpatient treatment. RESULTS:Results of hierarchical linear regression models indicated that greater childhood physical abuse and emotional neglect were significantly associated with higher perceived DT. Greater levels of emotional abuse were associated with lower perceived DT, and greater physical neglect was associated with lower behavioral DT. CONCLUSIONS:DT may be differentially influenced by different forms of childhood trauma. (PsycINFO Database Record
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Project description:Crowdsourcing systems like Amazon's Mechanical Turk (AMT) allow data to be collected from a large sample of people in a short amount of time. This use has garnered considerable interest from behavioral scientists. So far, most experiments conducted on AMT have focused on survey-type instruments because of difficulties inherent in running many experimental paradigms over the Internet. This study investigated the viability of presenting stimuli and collecting response times using Adobe Flash to run ActionScript 3 code in conjunction with AMT. First, the timing properties of Adobe Flash were investigated using a phototransistor and two desktop computers running under several conditions mimicking those that may be present in research using AMT. This experiment revealed some strengths and weaknesses of the timing capabilities of this method. Next, a flanker task and a lexical decision task implemented in Adobe Flash were administered to participants recruited with AMT. The expected effects in these tasks were replicated. Power analyses were conducted to describe the number of participants needed to replicate these effects. A questionnaire was used to investigate previously undescribed computer use habits of 100 participants on AMT. We conclude that a Flash program in conjunction with AMT can be successfully used for running many experimental paradigms that rely on response times, although experimenters must understand the limitations of the method.
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Project description:This article presents new data on individual altruistic choices and beliefs in a two-player sharing game, collected for the study reported in te Velde (2018) [2]. The decision maker in this game had to choose how much of a fixed budget to share with another anonymous Amazon Mechanical Turk user participating in the same study. With a known probability, the decision maker?s choice was overridden by one of two known default options, so that the recipient was unable to attribute those two outcomes to the decision maker with certainty. In addition to choice data, each participant?s incentivized guess of average behavior is included in the dataset, along with responses to a set of survey questions asking for opinions or beliefs about the morality of different options or the preferences or experienced utility of the recipient. Lastly, the dataset contains basic demographic information for each participant, along with detailed timing information about recruitment and each phase of the study.
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Project description:OBJECTIVE:The purpose of this study is to describe typologies of service utilization among trauma-exposed, treatment-seeking adolescents and to examine associations between trauma history, trauma-related symptoms, demographics, and service utilization. METHOD:Latent class analysis was used to derive a service utilization typologies based on 10 service variables using a sample of 3,081 trauma-exposed adolescents ages 12 to 16 from the National Child Traumatic Stress Network Core Dataset. Services used 30 days prior to the initial assessment from 5 sectors were examined (health care, mental health, school, social services, and juvenile justice). RESULTS:A 5-class model was selected based on statistical fit indices and substantive evaluation of classes: (a) High intensity/multisystem, 9.5%; (b) Justice-involved, 7.2%; (c) Low intensity/multisystem, 19.9%; (d) Social service and mental health, 19.9%; and (e) Low service usage/reference, 43.5%. The classes could be differentiated based on cumulative trauma, maltreatment history, PTSD, externalizing and internalizing symptoms, and age, gender, race/ethnicity and place of residence. CONCLUSIONS:This study provides new evidence about patterns of service utilization by trauma exposed, treatment seeking adolescents. Most of these adolescents appear to be involved with at least 2 service systems prior to seeking trauma treatment. Higher cumulative exposure to multiple types of trauma was associated with greater service utilization intensity and complexity, but trauma symptomatology was not. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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Project description:Recent work suggests that a subset of individuals with posttraumatic stress disorder (PTSD) exhibit marked dissociative symptoms, as defined by derealization and depersonalization. A dissociative subtype of PTSD was added to the diagnostic criteria listed in the Diagnostic and Statistical Manual of Mental Disorders, Version 5 (DSM-5) to capture this presentation of PTSD. This study examined genetic polymorphisms for association with the symptoms that define the dissociative subtype of PTSD using a genome-wide approach.The sample comprised 484 White, non-Hispanic, trauma-exposed veterans and their partners who were assessed for lifetime PTSD and dissociation using a structured clinical interview. The prevalence of PTSD was 60.5%. Single-nucleotide polymorphisms (SNPs) from across the genome were obtained from a 2.5 million SNP array.Ten SNPs evidenced suggestive association with dissociation (P < 10(-5)). No SNPs met genome-wide significance criteria (P < 5 × 10(-8)). The peak SNP was rs263232 (? = 1.4, P = 6.12 × 10(-7)), located in the adenylyl cyclase 8 (ADCY8) gene; a second SNP in the suggestive range was rs71534169 (? = 1.63, P = 3.79 × 10(-6)), located in the dipeptidyl-peptidase 6 (DPP6) gene.ADCY8 is integral for long-term potentiation and synaptic plasticity and is implicated in fear-related learning and memory and long-term memory consolidation. DPP6 is critical for synaptic integration and excitation. These genes may exert effects on basic sensory integration and cognitive processes that underlie dissociative phenomena.
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Project description:Amazon Mechanical Turk (MTurk) is becoming a prevalent source of quick and cost effective data for organizational research, but there are questions about the appropriateness of the platform for organizational research. To answer these questions, we conducted an integrative review based on 75 papers evaluating the MTurk platform and 250 MTurk samples used in organizational research. This integrative review provides four contributions: (1) we analyze the trends associated with the use of MTurk samples in organizational research; (2) we develop a systems perspective (recruitment system, selection system, and work management system) to synthesize and organize the key factors influencing data collected on MTurk that may affect generalizability and data quality; (3) within each factor, we also use available MTurk samples from the organizational literature to analyze key issues (e.g., sample characteristics, use of attention checks, payment); and (4) based on our review, we provide specific recommendations and a checklist for data reporting in order to improve data transparency and enable further research on this issue.
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Project description:Internet interventions face significant challenges in recruitment and attrition rates are typically high and problematic. Finding innovative yet scientifically valid avenues for attaining and retaining participants is therefore of considerable importance. The main goal of this study was to compare recruitment process and participants characteristics between two similar randomized control trials of mood management interventions. One of the trials (Bunge et al., 2016) was conducted with participants recruited from Amazon's Mechanical Turk (AMT), and the other trial recruited via Unpaid Internet Resources (UIR). Methods:The AMT sample (Bunge et al., 2016) consisted of 765 adults, and the UIR sample (recruited specifically for this study) consisted of 329 adult US residents. Participants' levels of depression, anxiety, confidence, motivation, and perceived usefulness of the intervention were assessed. The AMT sample was financially compensated whereas the UIR was not. Results:AMT yielded higher recruitment rates per month (p?<?.05). At baseline, the AMT sample reported significantly lower depression and anxiety scores (p?<?.001 and p?<?.005, respectively) and significantly higher mood, motivation, and confidence (all p?<?.001) compared to the UIR sample. AMT participants spent significantly less time on the site (p?<?.05) and were more likely to complete follow-ups than the UIR sample (p?<?.05). Both samples reported a significant increase in their level of confidence and motivation from pre- to post-intervention. AMT participants showed a significant increase in perceived usefulness of the intervention (p?<?.0001), whereas the UIR sample did not (p?=?.1642). Conclusions:By using AMT, researchers can recruit very rapidly and obtain higher retention rates; however, these participants may not be representative of the general online population interested in clinical interventions. Considering that AMT and UIR participants differed in most baseline variables, data from clinical studies resulting from AMT samples should be interpreted with caution.
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