Cancer Victim Identity for Individuals with Histories of Cancer and Childhood Sexual Abuse

McDonnell, Glynnis A.; Sucală, Mădălina; Goldsmith, Rachel E.; Montgomery, Guy H.; Schnur, Julie B.

doi:10.1007/s10942-017-0268-0

Cited by 2 publications

(1 citation statement)

References 31 publications

(37 reference statements)

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“…Some report the qualifications that were imposed on the participants during data collection or the quality control checks that were applied to the resultant data [48,49]. Others present insufficient detail or no information at all [50,51]. As a result, the reader does not know whether sufficient standards were applied and not reported, or not applied at all.…”

Section: Discussionmentioning

confidence: 99%

Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

2017

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BackgroundTo eliminate health disparities, research will depend on our ability to reach select groups of people (eg, samples of a particular racial or ethnic group with a particular disease); unfortunately, researchers often experience difficulty obtaining high-quality data from samples of sufficient size. ObjectivePast studies utilizing MTurk applaud its diversity, so our initial objective was to capitalize on MTurk’s diversity to investigate psychosocial factors related to diabetes self-care.MethodsIn Study 1, a “Health Survey” was posted on MTurk to examine diabetes-relevant psychosocial factors. The survey was restricted to individuals who were 18 years of age or older with diabetes. Detection of irregularities in the data, however, prompted an evaluation of the quality of MTurk health-relevant data. This ultimately led to Study 2, which utilized an alert statement to improve conscientious behavior, or the likelihood that participants would be thorough and diligent in their responses. Trap questions were also embedded to assess conscientious behavior.ResultsIn Study 1, of 4165 responses, 1246 were generated from 533 unique IP addresses completing the survey multiple times within close temporal proximity. Ultimately, only 252 responses were found to be acceptable. Further analyses indicated additional quality concerns with this subsample. In Study 2, as compared with the MTurk sample (N=316), the undergraduate sample (N=300) included more females, and fewer individuals who were married. The samples did not differ with respect to race. Although the presence of an alert resulted in fewer trap failures (mean=0.07) than when no alert was present (mean=0.11), this difference failed to reach significance: F1,604=2.5, P=.11, ƞ²=.004, power=.35. The modal trap failure response was zero, while the mean was 0.092 (SD=0.32). There were a total of 60 trap failures in a context where the potential could have exceeded 16,000.ConclusionsPublished studies that utilize MTurk participants are rapidly appearing in the health domain. While MTurk may have the potential to be more diverse than an undergraduate sample, our efforts did not meet the criteria for what would constitute a diverse sample in and of itself. Because some researchers have experienced successful data collection on MTurk, while others report disastrous results, Kees et al recently identified that one essential area of research is of the types and magnitude of cheating behavior occurring on Web-based platforms. The present studies can contribute to this dialogue, and alternately provide evidence of disaster and success. Moving forward, it is recommended that researchers employ best practices in survey design and deliberately embed trap questions to assess participant behavior. We would strongly suggest that standards be in place for publishing the results of Web-based surveys—standards that protect against publication unless there are suitable quality assurance tests built into the survey design, distribution, and analysis.

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Section: Discussionmentioning

confidence: 99%

Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

2017

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Childhood Sexual Abuse Survivors Undergoing Cancer Treatment: A Case for Trauma-Informed Integrated Care

Regal

Wheeler

Daire

et al. 2020

Journal of Mental Health Counseling

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Patients in medical settings with more adverse childhood experiences (ACEs), such as sexual abuse, demonstrate reduced treatment adherence and greater relational difficulties with providers, potentially contributing to negative health outcomes. Integrated care addresses holistic patient healthcare needs within an interdisciplinary treatment team. Trauma-informed care serves as a potential approach to address patient and provider difficulty, yet practical guidance as to how to implement this approach within integrated care settings is lacking. This article makes the case for trauma-informed integrated care and provides a case example in an oncology setting to illustrate the utility of trauma-informed integrated care with the use of an embedded mental health counselor. Resulting training and practice recommendations include (a) universal screening for ACE in medical settings, (b) enhanced interprofessional education, and (c) provision of embedded counseling and supervision services within integrated care settings. Future research directions are explored.

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Cancer Victim Identity for Individuals with Histories of Cancer and Childhood Sexual Abuse

Cited by 2 publications

References 31 publications

Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

Childhood Sexual Abuse Survivors Undergoing Cancer Treatment: A Case for Trauma-Informed Integrated Care

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