bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abstract A12: Evaluating physician network-based measures of care coordination through the lens of the patient experience
Authors: Moen Erika L. , Bynum Julie P. 
Published: June 2022

Abstract
There is significant promise in analyzing physician patient-sharing networks to construct indirect measures of care coordination by defining relationships between physicians based on shared patients. This approach has the potential to uncover how otherwise latent organizational aspects of health care systems impact patient outcomes. A key challenge to this approach is how the various measures used to describe these networks infer the complex realities of health care delivery. The extent of patient-sharing relationships within physician networks has been associated with care utilization, cost of care, and some measures of care quality. While this approach has been validated to signal true professional relationships between physicians from the physicians’ perspective, it is unknown whether these measures reflect patients’ perceptions of their own care coordination. The objective of this study is to evaluate the associations between network-based measures of care coordination and patient-reported experience measures. We linked three publicly available data sources released by Centers for Medicare and Medicaid Services (CMS) that include national data on physician patient sharing in 2015, physician participation in a group practice, and patient-reported quality performance for group practices based on responses to the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Survey in 2016. The outcomes of interest were patient-reported experience measures reflecting “Between visit communication,” “Clinicians working together for your care,” and “Getting timely care, appointments, and information” (CAHPS). The predictor variables of interests were physician group practice density (the number of physician pairs who share patients adjusting for total number of physician pairs) and clustering (the extent to which sets of three physicians all share patients). There were 476 groups that had patient-reported measures available. Patients’ perception of “Clinicians working together for your care” was significantly positively associated with both physician group practice density (p=0.02) and clustering (p=0.006). Physician group practice clustering was also significantly positively associated with “Getting timely care, appointments, and information” (p=0.005). This work suggests that network-based measures of care coordination are associated with some patient-reported experience measures. Evaluating and intervening on patient-sharing networks may provide novel strategies for initiatives aimed at improving quality of care and the patient experience.
Citation Format: Erika L. Moen, Julie P. Bynum. Evaluating physician network-based measures of care coordination through the lens of the patient experience [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A12.
Abstract A13: Linking cancer and vaccine registries in a retrospective cohort study: Risk of metastasis following perioperative vaccine use among cancer patients
Authors: Righolt Christiaan H. , Zhang Geng , Mahmud Salaheddin M. 
Published: June 2022

Abstract
Background: Surgical removal of solid tumors is a frequent treatment for cancer patients. Immunosuppression after surgery, which suppresses natural killer (NK) cells, increases the risk of metastasis (mets). Preclinical and animal studies have shown that perioperative vaccination can prevent postoperative NK cell dysfunction and may reduce the risk of mets. In the first epidemiologic study of its kind, we investigated this intriguing hypothesis in the Canadian province of Manitoba (MB).
Methods: We linked the MB Cancer Registry, containing all cancer diagnoses and cancer-specific therapy in MB, with the MB Immunization Monitoring System and other administrative health databases covering &gt;99% of the population. We identified all first cancer surgeries conducted during 1994-2014 in MB for an invasive, nonmetastatic, primary, solid cancer. We followed patients from their date of surgery to the earliest date of metastasis, 2nd primary cancer, 2nd cancer surgery, death, loss of coverage, or study end. We used competing-risk Cox models adjusted for age at surgery, gender, comorbidities, and cancer stage at diagnosis.
Results: Out of 29,120 persons with a cancer surgery, 0.2% and 0.4% received a vaccine, mostly seasonal flu vaccines, 2-4 and 0-5 days before surgery respectively, and 21.8% developed metastasis during follow-up. Compared to those vaccinated 30 days before to 14 days after surgery outside of the specific time window, the hazard ratio of the association between vaccination 0-5 days before surgery and metastasis was 0.72 (0.32-1.61) for a 15-year follow-up, and the association was 0.44 (0.11-1.78) for vaccination 2-4 days before surgery.
Conclusion: In this relatively small study, we found evidence for a strong association between vaccination just before cancer surgery and long-term occurrence of mets. Further studies of this associations in humans are warranted; they must be sufficiently large to investigate potentially narrow windows of vaccine effectiveness, and they could use biomarkers of mets as intermediate endpoints.
Citation Format: Christiaan H. Righolt, Geng Zhang, Salaheddin M. Mahmud. Linking cancer and vaccine registries in a retrospective cohort study: Risk of metastasis following perioperative vaccine use among cancer patients [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A13.
Abstract A22: Challenges using mobile technology for research participation in preventive health research: A preliminary investigation with Spanish-speaking Latinas
Authors: Fernandez Alejandro , Serrano Mayra , Garcia Marisela , Nerio Katty , Ashing Kimlin 
Published: June 2022

Abstract
Technology offers significant contributions to improve health care. However, less than half of foreign-born Latinos utilize data applications. The acceptability and application of these new communication and data harnessing tools can present both opportunities and challenges for some. We report our observations of the challenges Latinas face using mobile technology. Latina mothers were recruited from a pilot diabetes risk reduction program. A total of 32 mothers participated in the program; 63% were Spanish speakers, 59% were foreign-born, 66% had ≤high school education, and 91% reported income &lt;$40,000. Participants used a mobile device to perform two tasks: 1) complete an online survey on a tablet and 2) download and install a fitness tracker mobile application. Mothers rated their confidence in their ability to use mobile technology using a 4-point Likert scale. Participants with little/no confidence requested paper versions of the survey. Most mothers required staff assistance to complete the survey and set up their fitness tracker. Spanish-speaking mothers were more likely to report little/no confidence connecting to Wi-Fi (χ2=13.175, p&lt;0.01), downloading an app (χ2=11.277, p=0.01), and creating an electronic account (χ2=7.882, p&lt;0.05). Although participants were smartphone users, the majority needed dedicated, individual assistance to complete the tasks (e.g., survey and app). Growing evidence suggests that Latinos have the capacity to use mobile technology to increase healthy behaviors. Our findings suggest that lower-income Spanish speakers require more assistance with technology for research data collection. Studies and programs using mobile technology should account for the added staffing and resources required to conduct studies with this population.
Citation Format: Alejandro Fernandez, Mayra Serrano, Marisela Garcia, Katty Nerio, Kimlin Ashing. Challenges using mobile technology for research participation in preventive health research: A preliminary investigation with Spanish-speaking Latinas [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A22.
Abstract A23: Using Internet-platform technology to train community-based researchers in developing countries: Lessons Learned from a Caribbean study
Authors: Thomas-Purcell Kamilah B. , Primus-Joseph Marva , Richards Christine , James Ann Marie McBurnie , Blaze Julie , Atkins Lydia , Wiley Patsy , Ashing Kimlin Tam 
Published: June 2022

Abstract
As cancer increases as a global health challenge, the use of available technological platforms for communication is required. To develop a collaborative program of cancer prevention research between the U.S. and the Caribbean, we relied on several mobile phone and Internet-based communication platforms. In 2016-2017, a two-phase advocacy-engaged research study was initiated to determine 1) women’s perceptions of breast and cervical cancer screening and 2) gatekeepers’ perceptions of the quality and availability of breast and cervical cancer screening and treatment services in the four countries of the English-speaking Windward Islands. Our results revealed that mobile communication and Internet-platform technologies successfully trained Caribbean community researchers on qualitative data collection and analysis methods as well as dissemination strategies. In particular, mobile platforms including GoToTraining, WhatsApp, YouTube, Dedoose, Google Drive, and email were used to deliver interactive training modules to community researchers in the Caribbean. The Internet-based technology enhanced training, communication, and social interactions. Additionally, it facilitated the collaborative development of recruitment materials and data collection instruments, data management, reports, manuscripts, and results dissemination. Community and academic researchers agreed that use of technology fostered a cost-effective and efficient collaborative process. The availability and use of communication technology are especially critical for researchers addressing the raising global cancer burden, particularly in resource-poor countries. Advocacy-engaged, technology-facilitated cancer research has the potential to cultivate and sustain community capacity and infrastructure for international research partnerships by building bridges via the use of mobile and Internet-based technology.
Citation Format: Kamilah B. Thomas-Purcell, Marva Primus-Joseph, Christine Richards, Ann Marie McBurnie James, Julie Blaze, Lydia Atkins, Patsy Wiley, Kimlin Tam Ashing. Using Internet-platform technology to train community-based researchers in developing countries: Lessons Learned from a Caribbean study [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A23.
Abstract A29: A tale of two diverse Qualtrics samples: Information for online survey researchers
Authors: Miller Carrie A. , Guidry Jeanine 
Published: June 2022

Abstract
Background: Online recruitment and sampling can be particularly effective in targeting specific groups. The use of quota sampling (i.e., the nonrandom sampling of individuals belonging to a specific subgroup) in online panel research can help researchers obtain survey participants matching a specific condition of interest to the researcher. Despite the advantages of online samples, many researchers are either unaware of or skeptical about the use of online panels for sample acquisition.
Purpose: The purpose of this study was to describe the recruitment and respondent characteristics of two disparate samples derived from online panels for survey research. This information is needed to inform researchers on what to expect when administering an online survey and recruiting participants through a commercial research platform.
Methods: A commercial survey sampling and administration company, Qualtrics, was contracted to recruit participants and implement two Internet-based surveys. The first survey targeted adults aged 50-75 years old. This survey utilized sampling quotas to obtain a sample that was diverse with respect to household income and race. The comparison study focused on women aged 18-49 years and used quota sampling to help achieve a geographically balanced sample. The two surveys were approximately equivalent in terms of survey duration and participant remuneration.
Results: Although each survey recruited the desired number of respondents within a relatively short period of time, differences in the participant flow were observed between studies. Recruitment of the older adult sample took longer than the study focused on young adult women. Differences in the variables related to sampling quotas were also significant. Furthermore, the proportions of respondents who initiated, completed, screened out, failed a quality check, and failed to complete the survey were inconsistent across studies.
Conclusion: Results of this novel research have important implications for the development of future online surveys using samples recruited from online panels. Conclusions provide practical guidance related to Internet survey design and recruitment procedures.
Citation Format: Carrie A. Miller, Jeanine Guidry. A tale of two diverse Qualtrics samples: Information for online survey researchers [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A29.
Abstract A31: Online panel sample recruitment and characteristics: An analysis of those who initiate versus complete an Internet survey
Authors: Miller Carrie A. , Thomson Maria 
Published: June 2022

Abstract
Background: Using online research panels can be a quick and efficient means of sample acquisition and data collection. Despite this strength, there is often a lack of transparency in the recruitment of panelists and insufficient consideration of how samples derived from online panels compare to relevant populations and other research samples.
Purpose: The purpose of this study was to inform researchers on what to expect when administering an online survey and recruiting participants using quota sampling through a commercial research panel. The sociodemographic characteristics of those who completed the survey were compared to those who initiated but did not complete it. The survey exit point of noncompleters was also examined.
Methods: A total of N=419 eligible respondents completed an online survey administered via Qualtrics. In addition to study-specific eligibility criteria, sampling quotas were implemented for race and income.
Results: The majority of panelists who provided consent and were eligible for participation went on to complete the survey. The sociodemographic profiles were similar between survey completers and eligible respondents who initiated but did not complete the survey. Survey completers were relatively similar to the U.S. population 50+ years old. Subtle differences were noted in marital status, income, education, and employment status, but were likely related to the derived sample being more racially and economically diverse. Other implications for the use of quota sampling, the placement of key items, and survey length were discussed.
Conclusion: Quota sampling from an online panel can effectively produce a targeted and diverse sample with reasonable internal and external validity.
Citation Format: Carrie A. Miller, Maria Thomson. Online panel sample recruitment and characteristics: An analysis of those who initiate versus complete an Internet survey [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A31.
Abstract A34: Differences between self-reported and electronically monitored adherence among Korean breast cancer patients receiving endocrine therapy
Authors: Min Yul Ha , Lee Sae Byul , Lee Minsun 
Published: June 2022

Abstract
Background: The aim of this study was to compare self-report medication adherence measure with adherence data collected from Medication Event Monitoring System (MEMS) electronic monitors in Korean breast cancer survivors.
Methods: Between June 2017 and January 2018, patients who planned to take endocrine therapy (ET) were recruited for this observational cohort study. Adherence was assessed by participants’ self-reports at 3 different time points and by MEMS for the first 12 months of ET. The time points 1, 2, and 3 were at approximately 3 months, 6 months, and 12 months after initiation of ET. MEMS data that had the date and time of each pill bottle opening were used to calculate electronically monitored adherence (MEMS adherence). Self-reported and MEMS adherence measures were matched and compared for 146 patients.
Results: The mean [±SD, interquartile range (IQR)] self-reported adherence and MEMS adherence were 95% (±11, 95-100%) and 84% (±16, 80-95%), respectively. The mean (±SD) difference between the self-reported adherence and the MEMS adherence was 11% (±13). Among those who self-reported no missed doses (self-reported adherence 100%) for 3 or 6 months, mean MEMS adherence and the proportion with MEMS adherence &gt;90% (good adherence) were 89% and 64%, respectively. In comparison, among those who self-reported adherence 97-99%, 93-96%, 90-92%, and &lt;90%, mean MEMS adherence was 86%, 83%, 79%, and 56% respectively, and the proportion with MEMS adherence &gt;90% was 35%, 36%, 17%, and 0%, respectively. The difference between the two adherence measures increased over time. The differences at the time points 1, 2, and 3 was 9%, 11% and 17%, respectively. There was a strong relationship between the two adherence measures (r=0.59, p&lt;0.001).
Conclusions: There is a sizable and significant difference between self-reported and MEMS adherence. However, self-reported adherence correlated by MEMS adherence suggests that self-reported adherence gives a useful measure for clinical monitoring. This work was supported by the National Research Foundation of Korea grant funded by the Korea government (No. 2018R1A1A3A04076879).
Citation Format: Yul Ha Min, Sae Byul Lee, Minsun Lee. Differences between self-reported and electronically monitored adherence among Korean breast cancer patients receiving endocrine therapy [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A34.
Abstract IA03: Digital health and health equity
Authors: Menon Usha 
Published: June 2022

Abstract
The explosion of digital health strategies has the potential to expand our reach across communities. Emerging technologies have the potential to reduce cancer health disparities by influencing lifestyle, genomics, and precision health care. However, evaluation of the impact of such technologies across marginalized groups is still in its infancy. As such, investigations into the connections between cancer health inequity and digital innovations are critical to actualize benefits evenly across communities. Otherwise, the use of technological innovations may be well be resisted or may lead to exacerbation of cancer disparities. This presentation will highlight emerging technologies in health research and strategies to leverage reduction of health disparities.
Citation Format: Usha Menon. Digital health and health equity [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA03.
Abstract IA10: Finding, accessing, interoperating with, and reusing clinical data in artificial intelligence applications
Authors: Ohno-Machado Lucila 
Published: June 2022

Abstract
I will present recent initiatives to promote FAIR (Findable, Accessible, Interoperable, and Reusable) data utilization for biomedical research and health care. Among these initiatives are a Data Discovery Index developed for NIH’s Big Data to Knowledge initiative, and several tools to protect privacy while applying artificial intelligence/machine learning methods on electronic health record data. Finally, I will contrast institution-based and patient-based strategies to share health care data for research.
Citation Format: Lucila Ohno-Machado. Finding, accessing, interoperating with, and reusing clinical data in artificial intelligence applications [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA10.
Abstract IA11: Artificial intelligence or artificial inelegance—the state of AI in cancer diagnostics
Authors: Stumpe Martin C. 
Published: June 2022

Abstract
Rendering cancer diagnoses is a highly complex process that requires many years of expert training. It involves challenging tasks for pathologists, such as identifying rare events in very large images or classifying subtle differences between morphologically very similar tumor grades that have very different treatment plans. These tasks are typically more challenging for human cognition, and, consequently, over- and underdiagnoses are not uncommon, resulting in nonoptimal treatment selection. This talk will discuss recent advances in the application of artificial intelligence to cancer diagnostics, and the potential as well as challenges in translating the research progress into positive impact on patient’s lives.
Citation Format: Martin C. Stumpe. Artificial intelligence or artificial inelegance—the state of AI in cancer diagnostics [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA11.