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Wongtanasarasin W, Nishijima DK, Wood N, DeAngelis J, Storrow A, Schimmel J, Beltre N, Sacco D, Probst MA. Factors associated with incentive redemption among participants in a multicenter prospective syncope clinical study. Acad Emerg Med 2024. [PMID: 38940329 DOI: 10.1111/acem.14979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 06/15/2024] [Accepted: 06/18/2024] [Indexed: 06/29/2024]
Affiliation(s)
- Wachira Wongtanasarasin
- Department of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
- Department of Emergency Medicine, University of California Davis, Sacramento, California, USA
| | - Daniel K Nishijima
- Department of Emergency Medicine, University of California Davis, Sacramento, California, USA
| | - Nancy Wood
- Department of Emergency Medicine, University of Rochester Medical Center, Rochester, New York, USA
| | - John DeAngelis
- Department of Emergency Medicine, University of Rochester Medical Center, Rochester, New York, USA
| | - Alan Storrow
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jonathan Schimmel
- Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Nataly Beltre
- Department of Emergency Medicine, Columbia University Irving Medical Center, New York City, New York, USA
| | - Dana Sacco
- Department of Emergency Medicine, Columbia University Irving Medical Center, New York City, New York, USA
| | - Marc A Probst
- Department of Emergency Medicine, Columbia University Irving Medical Center, New York City, New York, USA
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Ziegenfuss JY, Asche SE, Dehmer SP, Reams M, Grossman ES, Solberg LI. The Impact of Text Messaging to Promote Patient Reported Outcome Measures (PROMs) Completion in Orthopedic Practice: Findings From a Randomized Controlled Study. Am J Med Qual 2024; 39:78-85. [PMID: 38403961 DOI: 10.1097/jmq.0000000000000174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
It is difficult to achieve high response rates to Patient Reported Outcome Measures (PROMs) surveys collected as part of clinical care. However, they are operationally and clinically important. To understand the impact of text message reminders on response rates to PROMs collected via email as part of routine care for hip or knee replacement surgery, initial nonresponders were randomized to receive a text reminder or not at 7 and 12 days, if needed. At day 7, the overall survey response rate was 63%. Model-derived estimates for survey return after this point were 51.1% (95% confidence interval [CI], 48.0%-54.2%) in the text arm compared to 34.5% (95% CI, 31.6%-37.6%) in the no text arm. The effect of text messages on response rates did not vary by subpopulations considered nor were there differences in rates of key outcomes between the 2 groups, suggesting that it did not impact any underlying response bias. Given the relative low cost of text messages, they can be an efficient means to increase response rates.
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Affiliation(s)
- Jeanette Y Ziegenfuss
- Center for Evaluation and Survey Research, HealthPartners Institute, Minneapolis, MN
| | - Stephen E Asche
- Research and Evaluation, HealthPartners Institute, Minneapolis, MN
| | - Steven P Dehmer
- Research and Evaluation, HealthPartners Institute, Minneapolis, MN
| | - Megan Reams
- TRIA, Park Nicollet Health Services, St Louis Park Specialty Center, St Louis Park, MN
| | | | - Leif I Solberg
- Research and Evaluation, HealthPartners Institute, Minneapolis, MN
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Stoffel ST, Chaki B, Vlaev I. Testing a decoy donation incentive to improve online survey participation: Evidence from a field experiment. PLoS One 2024; 19:e0299711. [PMID: 38422074 PMCID: PMC10903882 DOI: 10.1371/journal.pone.0299711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 02/13/2024] [Indexed: 03/02/2024] Open
Abstract
This study introduces a new randomized field experiment exploring the impact of offering a decoy charity donation incentive together with a monetary reward to increase response rates in an online survey about coronavirus fears. The study used a two-stage approach, starting with a preliminary survey to investigate participant attitudes toward different types of donations. Subsequently, an experiment was conducted wherein a less desirable £2 donation (the decoy) was introduced as an alternative to a £2 Amazon voucher (the target) within the choice set. The study sample consisted of 431 university students. They were split into three groups: a control group with a standard £2 Amazon voucher incentive (216 participants), a decoy group with the target shown first (108 participants), and a decoy group with the decoy shown first (107 participants). We found significantly higher survey completion rates in the decoy than in the control condition (82.3% vs. 74.5%). Notably, an order effect was observed-presenting the target before the decoy led to a higher completion rate (89.8%) compared to presenting the decoy first (74.8%). Importantly, the inclusion of the decoy incentive did not introduce any response bias. This study offers a proof of principle that incorporating a decoy charity donation incentive into the choice set can have a positive impact on survey participation without adversely affecting response behaviour. It demonstrates the potential of such incentives to encourage participants to complete online surveys, even when a small monetary reward is offered.
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Affiliation(s)
- Sandro Tiziano Stoffel
- Research Department of Behavioural Science and Health, UCL, London, United Kingdom
- Institute of Pharmaceutical Medicine, University of Basel, Basel, Switzerland
| | - Biswajit Chaki
- Warwick Business School, University of Warwick, Coventry, United Kingdom
| | - Ivo Vlaev
- Warwick Business School, University of Warwick, Coventry, United Kingdom
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Vimalananda VG, Wormwood JB, Sitter KE, Fincke BG, Qian S, Tait MN, Meterko M. Adaptations for remote research work: a modified web-push strategy compared to a mail-only strategy for administering a survey of healthcare experiences. BMC Med Res Methodol 2023; 23:244. [PMID: 37858034 PMCID: PMC10588167 DOI: 10.1186/s12874-023-02066-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 10/11/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic required that our research team change our mail-only (MO) strategy for a research survey to a strategy more manageable by staff working remotely. We used a modified web-push approach (MWP), in which patients were mailed a request to respond online and invited to call if they preferred the questionnaire by mail or phone. We also changed from a pre-completion gift to a post-completion gift card incentive. Our objective is to compare response patterns between modes for a survey that used an MO strategy pre-pandemic followed by an MWP strategy peri-pandemic for data collection. METHODS Observational study using data from a national multi-scale survey about patients' experience of specialty care coordination administered via MO in 2019 and MWP from 2020 to 2021 to Veterans receiving primary care and specialty care within the Veterans Health Administration (VA). We compared response rates, respondent characteristics and responses about care coordination between MO and MWP, applying propensity weights to account for differences in the underlying samples. RESULTS The response rate was lower for MWP vs. MO (13.4% vs. 36.6%), OR = 0.27, 95% CI = 0.25-0.30, P < .001). Respondent characteristics were similar across MO and MWP. Coordination scale scores tended to be slightly higher for MWP, but the effect sizes for these differences between modes were small for 9 out of 10 scales. CONCLUSIONS While the logistics of MWP survey data collection are well-suited to the remote research work environment, response rates were lower than those for the MO method. Future studies should examine addition of multi-mode contacts and/or pre-completion incentives to increase response rates for MWP.
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Affiliation(s)
- Varsha G Vimalananda
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, 200 Springs Road, Building 70, Bedford, MA, 01730, USA.
- Section of Endocrinology, Diabetes and Metabolism, Boston University School of Medicine, Boston, MA, USA.
| | - Jolie B Wormwood
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, 200 Springs Road, Building 70, Bedford, MA, 01730, USA
- Department of Psychology, University of New Hampshire, Durham, NH, USA
| | - Kailyn E Sitter
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, 200 Springs Road, Building 70, Bedford, MA, 01730, USA
| | - B Graeme Fincke
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, 200 Springs Road, Building 70, Bedford, MA, 01730, USA
- Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA, USA
| | - Shirley Qian
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, 200 Springs Road, Building 70, Bedford, MA, 01730, USA
| | - Maya N Tait
- International School of Boston, Cambridge, MA, USA
| | - Mark Meterko
- Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA, USA
- Analytics and Performance Integration, Office of Quality and Patient Safety, Department of Veterans Affairs, Bedford, MA, USA
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Javidan AP, Rai Y, Cheung J, Patel RV, Kulasegaram KM. Six ways to maximize survey response rates: lessons from a medical school accreditation survey in a Canadian setting. CANADIAN MEDICAL EDUCATION JOURNAL 2023; 14:107-110. [PMID: 37465729 PMCID: PMC10351635 DOI: 10.36834/cmej.75380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Background Surveys are being increasingly used to gather feedback and study data in healthcare professions. However, it may be challenging to achieve high response rates in surveys administered to healthcare professionals. The aim of this paper is to report six strategies that contributed to a high response rate on the Independent Student Analysis at the University of Toronto (U of T), which can be applied to other surveys to achieve strong response rates amongst healthcare professionals. Methods In 2019, as part of accreditation for the U of T MD Program, we conducted the Independent Student Analysis, a student-led survey examining a medical student's experience. We review and critically evaluate the factors that contributed to a robust response rate amongst one of the largest cohorts of medical students in Canada. Results Among 1080 students in the MD program, we achieved an unprecedented response rate of 87.2%. Six factors were identified that most contributed to our high response rate, including: faculty support, student representation, eliciting participant feedback, creating protected time for completion, offering incentives, and generating awareness. Conclusions Eliciting high survey response rates from medical learners can be challenging. However, with careful consideration of learner feedback and effective employment of the strategies discussed in this paper, medical school faculty may better engage students in survey completion, achieving higher response rates and gathering richer insight, which can be used to more effectively enact meaningful change amongst healthcare professionals.
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Affiliation(s)
- Arshia Pedram Javidan
- Division of Vascular Surgery, Department of Surgery, University of Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada
| | - Yeshith Rai
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jeffrey Cheung
- Department of Medical Education, University of Illinois Chicago, Illinois, USA
| | - Raumil V Patel
- Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada
- Temerty Faculty of Medicine, University of Toronto, Ontario, Canada
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Vujcich D, Brown G, Durham J, Gu Z, Hartley L, Lobo R, Mao L, Moro P, Pillay V, Mullens AB, Oudih E, Roberts M, Wilshin C, Reid A. Strategies for Recruiting Migrants to Participate in a Sexual Health Survey: Methods, Results, and Lessons. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12213. [PMID: 36231514 PMCID: PMC9564521 DOI: 10.3390/ijerph191912213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/25/2022] [Accepted: 08/31/2022] [Indexed: 06/16/2023]
Abstract
In this article, we describe the approaches taken to recruit adult migrants living in Australia for a sexual health and blood-borne virus survey (paper and online) and present data detailing the outcomes of these approaches. The purpose was to offer guidance to redress the under-representation of migrants in public health research. Methods of recruitment included directly contacting people in individual/organizational networks, social media posts/advertising, promotion on websites, and face-to-face recruitment at public events/venues. Search query strings were used to provide information about an online referral source, and project officers kept records of activities and outcomes. Descriptive statistical analyses were used to determine respondent demographic characteristics, proportions recruited to complete the paper and online surveys, and sources of referral. Logistic regression analyses were run to predict online participation according to demographic characteristics. The total sample comprised 1454 African and Asian migrants, with 59% identifying as female. Most respondents (72%) were recruited to complete the paper version of the survey. Face-to-face invitations resulted in the highest number of completions. Facebook advertising did not recruit large numbers of respondents. Same-sex attraction and age (40-49 years) were statistically significant predictors of online completion. We encourage more researchers to build the evidence base on ways to produce research that reflects the needs and perspectives of minority populations who often bear the greatest burden of disease.
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Affiliation(s)
- Daniel Vujcich
- School of Population Health, Curtin University, Bentley, WA 6102, Australia
| | - Graham Brown
- Centre for Social Impact, UNSW, Sydney, NSW 2052, Australia
| | - Jo Durham
- Centre for Healthcare Transformation, Australian Centre for Health Services Innovation, School of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, QLD 4059, Australia
| | - Zhihong Gu
- Ethnic Communities Council of Queensland, West End, QLD 4101, Australia
| | - Lisa Hartley
- Centre for Human Rights Education, Curtin University, Bentley, WA 6102, Australia
| | - Roanna Lobo
- School of Population Health, Curtin University, Bentley, WA 6102, Australia
| | - Limin Mao
- Centre for Social Research in Health, UNSW, Sydney, NSW 2052, Australia
| | - Piergiorgio Moro
- Multicultural Health Support Service, Centre for Culture, Ethnicity and Health, Richmond, VIC 3121, Australia
| | - Vivienne Pillay
- Ethnic Communities Council of WA, North Perth, WA 6006, Australia
| | - Amy B. Mullens
- Centre for Health Research, School of Psychology & Wellbeing, University of Southern Queensland, Ipswich, QLD 4305, Australia
| | - Enaam Oudih
- Relationships Australia South Australia, Hindmarsh, SA 5007, Australia
| | - Meagan Roberts
- School of Population Health, Curtin University, Bentley, WA 6102, Australia
| | - Caitlin Wilshin
- School of Population Health, Curtin University, Bentley, WA 6102, Australia
| | - Alison Reid
- School of Population Health, Curtin University, Bentley, WA 6102, Australia
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Schick-Makaroff K, Berendonk C, Overwater J, Streith L, Lee L, Escoto M, Cukor D, Klarenbach S, Sawatzky R. How Are Albertans "Adjusting to and Coping With" Dialysis? A Cross-Sectional Survey. Can J Kidney Health Dis 2022; 9:20543581221118436. [PMID: 36046483 PMCID: PMC9421011 DOI: 10.1177/20543581221118436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Indexed: 11/15/2022] Open
Abstract
Background: Depression and anxiety are commonly reported (40% and 11%-52%) among adults receiving dialysis, compared with ~10% among all Canadians. Mental health in dialysis care is underrecognized and undertreated. Objective: (1) To describe preferences for mental health support reported by Albertans receiving dialysis; (2) to compare depression, anxiety, and quality-of-life (QOL) domains for people who would or would not engage in support for mental health; and (3) to explore sociodemographic, mental health, and QOL domains that explain whether people would or would not engage in support for mental health. Design: A cross-sectional survey. Setting: Alberta, Canada. Patients: Adults receiving all modalities of dialysis (N = 2972). Measurements: An online survey with questions about preferences for mental health support and patient-reported outcome measures (Patient Health Questionnaire–9 [PHQ-9], Generalized Anxiety Disorder–7 [GAD-7], and Kidney Disease QOL Instrument–36 [KDQOL-36]). Methods: To address objectives 1 and 2, we conducted chi-square tests (for discrete variables) and t tests (for continuous variables) to compare the distributions of the above measures for two groups: Albertans receiving dialysis who would engage or would not engage in support for mental health. We subsequently conducted a series of binary logistic regressions guided by the purposeful variable selection approach to identify a subset of the most relevant explanatory variables for determining whether or not people are more likely to engage in support for mental health (objective 3). To further explain differences between the two groups, we analyzed open-text comments following a summative content analysis approach. Results: Among 384 respondents, 72 did not provide a dialysis modality or answer the PHQ-9. The final data set included responses from 312 participants. Of these, 59.6% would consider engaging in support, including discussing medication with a family doctor (72.1%) or nephrologist (62.9%), peer support groups (64.9%), and talk therapy (60%). Phone was slightly favored (73%) over in person at dialysis (67.6%), outpatient (67.2%), or video (59.4%). Moderate to severe depressive symptoms (PHQ-9 score ≥10) was reported by 33.4%, and most respondents (63.9%) reported minimal anxiety symptoms; 36.1% reported mild to severe anxiety symptoms (GAD-7 score ≥5). The mean (SD) PHQ-9 score was 8.9 (6.4) for those who would engage in support, and lower at 5.8 (4.8) for those who would not. The mean (SD) GAD-7 score was 5.2 (5.6) for those who would engage in support and 2.8 (4.1) for those who would not. In the final logistic regression model, people who were unable to work had 2 times the odds of engaging in support than people who are able to work. People were also more likely to engage in support if they had been on dialysis for fewer years and had lower (worse) mental health scores (odds ratios = 1.06 and 1.38, respectively). The final model explained 15.5% (Nagelkerke R2) of the variance and with 66.6% correct classification. We analyzed 146 comments in response to the question, “Is there anything else you like to tell us.” The top 2 categories for both groups were QOL and impact of dialysis environment. The third category differed: those who would engage wrote about support, whereas those who would not engage wrote about “dialysis is the least of my worries.” Limitations: A low response rate of 12.9% limits representativeness; people who chose not to participate may have different experiences of mental health. Conclusions: Incorporating patients’ preferences and willingness to engage in support for mental health will inform future visioning for person-centered mental health care in dialysis.
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Affiliation(s)
| | | | | | - Laura Streith
- Faculty of Nursing, University of Alberta, Edmonton, Canada
| | - Loretta Lee
- Faculty of Nursing, University of Alberta, Edmonton, Canada
| | - Manuel Escoto
- Faculty of Nursing, University of Alberta, Edmonton, Canada
| | | | - Scott Klarenbach
- Faculty of Medicine & Dentistry, Division of Nephrology, University of Alberta, Edmonton, Canada
| | - Richard Sawatzky
- School of Nursing, Trinity Western University, Langley, BC, Canada.,Centre for Health Evaluation & Outcome Sciences, St. Paul's Hospital, Vancouver, Canada.,Sahlgrenska Academy, University of Gothenburg, Sweden
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Perception of clinical research among patients and healthy volunteers of clinical trials. Eur J Clin Pharmacol 2022; 78:1647-1655. [PMID: 35896802 PMCID: PMC9482583 DOI: 10.1007/s00228-022-03366-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/18/2022] [Indexed: 11/03/2022]
Abstract
Purpose Clinical research relies on data from patients and volunteers, yet the target sample size is often not achieved. Here, we assessed the perception of clinical research among clinical trial participants to improve the recruitment process for future studies. Methods We conducted a single-center descriptive and exploratory study of 300 current or former participants in various phase I–III clinical trials. Questionnaires were either distributed to current clinical trial participants or emailed to former subjects. Results Subjects strongly agreed or agreed that contributing to improving medical care (> 81%), contributing to scientific research (> 79%), and trusting their treating physicians (> 77%) were motives for study participation. Among healthy volunteers, financial motives positively correlated with the number of clinical trials they had participated in (p < 0.05). Higher age positively correlated with expectation of best available treatment during study participation among patients (p < 0.05). Less than 8% of all subjects expressed “great concern” about the potential risks of sharing their personal information as part of the study. Subjects displayed “great trust” or “trust” in medical staff (86.6%) and in government research institutions (76.4%), and “very little trust” or “little trust” in pharmaceutical companies (35.4%) and health insurance companies (16.9%). Conclusion Altruistic motives and trust in treating physicians were predominant motives for clinical trial participation. Older patients expected to receive the best available treatment during participation. Healthy volunteers who reported financial motives had participated in more clinical trials. Consistent with great trust in medical staff and government research institutions, little concern was expressed about the misuse of personal data during the trial. Supplementary Information The online version contains supplementary material available at 10.1007/s00228-022-03366-3.
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Hathaway CA, Chavez MN, Kadono M, Ketcher D, Rollison DE, Siegel EM, Peoples AR, Ulrich CM, Penedo FJ, Tworoger SS, Gonzalez BD. Improving Electronic Survey Response Rates Among Cancer Center Patients During the COVID-19 Pandemic: Mixed Methods Pilot Study. JMIR Cancer 2021; 7:e30265. [PMID: 34156965 PMCID: PMC8360334 DOI: 10.2196/30265] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/09/2021] [Accepted: 06/15/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Surveys play a vital role in cancer research. During the COVID-19 pandemic, the use of electronic surveys is crucial to improve understanding of the patient experience. However, response rates to electronic surveys are often lower compared with those of paper surveys. OBJECTIVE The aim of this study was to determine the best approach to improve response rates for an electronic survey administered to patients at a cancer center during the COVID-19 pandemic. METHODS We contacted 2750 patients seen at Moffitt Cancer Center in the prior 5 years via email to complete a survey regarding their experience during the COVID-19 pandemic, with patients randomly assigned to a series of variations of prenotifications (ie, postcard, letter) or incentives (ie, small gift, modest gift card). In total, eight combinations were evaluated. Qualitative interviews were conducted to understand the level of patient understanding and burden with the survey, and quantitative analysis was used to evaluate the response rates between conditions. RESULTS A total of 262 (9.5%) patients completed the survey and 9 participated in a qualitative interview. Interviews revealed minimal barriers in understanding or burden, which resulted in minor survey design changes. Compared to sending an email only, sending a postcard or letter prior to the email improved response rates from 3.7% to 9.8%. Similarly, inclusion of an incentive significantly increased the response rate from 5.4% to 16.7%, especially among racial (3.0% to 12.2%) and ethnic (6.4% to 21.0%) minorities, as well as among patients with low socioeconomic status (3.1% to 14.9%). CONCLUSIONS Strategies to promote effective response rates include prenotification postcards or letters as well as monetary incentives. This work can inform future survey development to increase response rates for electronic surveys, particularly among hard-to-reach populations.
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Affiliation(s)
- Cassandra A Hathaway
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, United States
| | - Melody N Chavez
- Participant Research, Interventions, and Measurements Core, Moffitt Cancer Center, Tampa, FL, United States
| | - Mika Kadono
- The AltaMed Institute for Health Equity, Los Angeles, CA, United States
| | - Dana Ketcher
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, United States
| | - Dana E Rollison
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, United States
| | - Erin M Siegel
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, United States
| | - Anita R Peoples
- Huntsman Cancer Institute, Salt Lake City, UT, United States.,Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT, United States.,Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States
| | - Frank J Penedo
- Departments of Medicine and Psychology, University of Miami, Coral Gables, FL, United States
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, United States.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Brian D Gonzalez
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, United States
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