Article
Critical Care Medicine
Shawn P. E. Nishi, Lisa M. Lowenstein, Tito R. Mendoza, Maria A. Lopez, Laura C. Crocker, Karen Sepucha, Jiangong Niu, Robert J. Volk
Summary: Among patients recently assessed for LCS, the quality of decision-making is highly variable, with patients valuing early cancer detection over concerns about harms. Patients were more likely to receive information on the benefits of LCS than on the risks, and one-third experienced some degree of decisional conflict. However, most patients felt they were adequately involved in the screening decision-making process.
Article
Medical Informatics
Rachel A. Pozzar, Niya Xiong, Fangxin Hong, Christopher P. Filson, Peter Chang, Barbara Halpenny, Donna L. Berry
Summary: This study explores the concordance between treatment choices and the influence of potential adverse outcomes in individuals with localized prostate cancer (LPC). The findings suggest that risk of adverse treatment outcomes may not be the primary concern for some patients, as other factors like low tumor risk and age play a significant role in treatment decision-making. Furthermore, patients who prioritize the impact of treatment on recreation are less likely to choose treatment options that align with their preferences.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2022)
Article
Medical Informatics
Sitong Wang, Qingwen Lu, Zhixia Ye, Fang Liu, Ning Yang, Zeya Pan, Yu Li, Li Li
Summary: The results of the study show that the Shared Decision Making Assistant application can help reduce decision conflict, increase decision preparation and self-efficacy, enhance knowledge of PLC treatment, and improve satisfaction among patients with PLC. Therefore, promoting and updating the Shared Decision Making Assistant in clinical practice and future research is recommended.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2022)
Article
Health Care Sciences & Services
Yohwan Yeo, Dong Wook Shin, Jungkwon Lee, Kyungdo Han, Sang Hyun Park, Keun Hye Jeon, Jungeun Shin, Aesun Shin, Jinsung Park
Summary: A risk prediction model for prostate cancer in Korean men was constructed using representative data, incorporating factors such as age, smoking, obesity, exercise, diabetes, and hypertension. The model demonstrated good discrimination and calibration ability, showing strong correlation between predicted and actual prostate cancer development. It can assist individuals in making decisions regarding prostate cancer screening by utilizing easily accessible and modifiable risk factors.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Oncology
Jon C. Tilburt, David Zahrieh, Joel E. Pacyna, Daniel G. Petereit, Judith S. Kaur, Bruce D. Rapkin, Robert L. Grubb, George J. Chang, Michael J. Morris, Evan Z. Kovac, Kara N. Babaian, Jeff A. Sloan, Ethan M. Basch, Elizabeth S. Peil, Amylou C. Dueck, Paul J. Novotny, Electra D. Paskett, Jan C. Buckner, Daniel D. Joyce, Victor M. Montori, Dominick L. Frosch, Robert J. Volk, Simon P. Kim
Summary: A multicenter trial oversampling minority men demonstrated that decision aids provided at different points in the care continuum for localized prostate cancer treatment did not result in significant gains in prostate cancer knowledge.
Article
Health Care Sciences & Services
Kevin D. Li, Christopher S. Saigal, Megha D. Tandel, Lorna Kwan, Moira Inkelas, Dana L. Alden, Stanley K. Frencher, Kiran Gollapudi, Jeremy Blumberg, Jamal Nabhani, Jonathan Bergman
Summary: Shared decision making (SDM) is advocated as the preferred method for physicians and men with prostate cancer to make treatment decisions. Implementation of formal SDM programs is limited, with little description of outcomes for disadvantaged populations. Our study compared implementation outcomes between academic and county health care settings, finding similar reach and fidelity rates but higher effectiveness ratings and satisfaction levels at the academic center. Implementation strategies, such as reminder calls and a Spanish module, led to improved completion rates and highlighted the importance of patient engagement and access in successful DA implementation efforts. Overall, SDM may benefit patients and health care systems regardless of demographic or clinical characteristics.
MEDICAL DECISION MAKING
(2021)
Article
Oncology
Shucheng Pan, Jinjiao Mao, Lijuan Wang, Yun Dai, Wei Wang
Summary: This study aimed to explore patients' experiences and perceptions towards treatment decision-making. The findings revealed that patients with prostate cancer had varying degrees of involvement in the decision-making process, emphasizing their right to be informed about the disease condition and treatment options, as well as the importance of future considerations and advance care planning.
SUPPORTIVE CARE IN CANCER
(2022)
Article
Oncology
Silje Orstad, Oystein Flotten, Tesfaye Madebo, Pal Gulbrandsen, Roger Strand, Frode Lindemark, Sverre Fluge, Rune Horgard Tilseth, Margrethe Aase Schaufel
Summary: This study investigated the needs and challenges of decision-making about advanced lung cancer treatment after first-line therapy, focusing on the applicability of decision aids. The findings revealed the importance of continuity in clinician-patient relationships, overcoming barriers to information exchange, negotiating autonomy, and addressing uncertainty in treatment decisions. Participants expressed the need for more information and support tools to aid decision-making.
Article
Oncology
Ricardo J. Wray, Shannon E. Nicks, Prajakta Adsul, Michael Elliot, Kimberly Enard, Keri Jupka, Anna K. Trainer, Natasha Hansen, Mellve Shahid, Robin Wright-Jones, Sameer Siddiqui
Summary: This study evaluated the impact of an educational outreach program on the decision-making abilities of African American men regarding prostate cancer screening. The program successfully improved participants' knowledge, beliefs, attitudes, anxiety levels, and self-efficacy, ultimately leading to informed decision-making.
CANCER CAUSES & CONTROL
(2022)
Article
Oncology
Ying Wang, Jinna Zhang, Bo Hu, Jizhe Wang, Laixiang Zhang, Xiaohua Li, Xiuli Zhu
Summary: This study investigated the level of participation and perceived importance of shared decision-making in the treatment and care of lung cancer patients. The results showed that lung cancer patients had a low degree of participation in shared decision-making. There were significant differences between actual participation and perceived importance. Factors such as education level, age, gender, income, marital status, personality, the course of the disease, and pathological TNM staging affected patient's level of participation.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2022)
Article
Oncology
Naomi Q. P. Tan, Shawn P. E. Nishi, Lisa M. Lowenstein, Tito R. Mendoza, Maria A. Lopez-Olivo, Laura C. Crocker, Karen R. Sepucha, Robert J. Volk
Summary: The study found that a better shared decision-making (SDM) process was associated with improved affective-cognitive outcomes among patients screened for lung cancer. Patients with higher SDM process scores showed greater knowledge of lung cancer screening, less decisional conflict, and increased intentions to adhere to screening recommendations and undergo screening again.
Article
Computer Science, Interdisciplinary Applications
Gemma Cremen, Carmine Galasso
Summary: This study proposes a novel approach for decision making related to short-term earthquake risk management by combining earthquake engineering performance assessment procedures with multicriteria decision-making tools. The research demonstrates the optimal decisions for earthquake scenarios in a hypothetical school building, taking into account stakeholder preferences. The results show that the best action for a given ground-shaking intensity may vary depending on end-user preferences.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
Article
Public, Environmental & Occupational Health
Jeffrey M. Keisler, Igor Linkov
Summary: Recent guidelines for risk-informed decision making provide a standard for incorporating probabilistic risk models with other considerations, but quantifying risk is difficult when threats, vulnerabilities, and consequences are highly uncertain. Decision making informed by risk (DMIR) can be used as a flexible approach that combines risk and decision analytics. Multi-criteria decision analysis (MCDA) is commonly used as a basis for DMIR to accommodate varying levels of analytical detail.
Article
Multidisciplinary Sciences
Haitham A. Elmarakeby, Justin Hwang, Rand Arafeh, Jett Crowdis, Sydney Gang, David Liu, Saud H. AlDubayan, Keyan Salari, Steven Kregel, Camden Richter, Taylor E. Arnoff, Jihye Park, William C. Hahn, Eliezer M. Van Allen
Summary: The development of a biologically informed deep learning model P-NET enables stratification of prostate cancer patients by treatment-resistance state and evaluation of molecular drivers of treatment resistance for therapeutic targeting with complete model interpretability. This approach shows superior performance in cancer state prediction using molecular data compared to other modeling approaches.
Article
Primary Health Care
Stephen H. Bradley, Matthew J. Thompson, Brian D. Nicholson
Summary: The history of cancer screening shows that involving patients in decision-making is important, and while encouraging patient participation in screening programs is crucial for improving cancer outcomes, doctors should also prioritize helping patients make informed decisions that align with their values and priorities. Open discussions about the limitations of cancer screening are essential to empower patients to make their own informed choices.
JOURNAL OF THE AMERICAN BOARD OF FAMILY MEDICINE
(2021)
Article
Public, Environmental & Occupational Health
Randi M. Williams, Kimberly M. Davis, George Luta, Sara N. Edmond, Caroline S. Dorfman, Marc D. Schwartz, John Lynch, Chiledum Ahaghotu, Kathryn L. Taylor
PATIENT EDUCATION AND COUNSELING
(2013)
Article
Medicine, General & Internal
Kathryn L. Taylor, Randi M. Williams, Kimberly Davis, George Luta, Sofiya Penek, Samantha Barry, Scott Kelly, Catherine Tomko, Marc Schwartz, Alexander H. Krist, Steven H. Woolf, Mary B. Fishman, Carmella Cole, Edward Miller
JAMA INTERNAL MEDICINE
(2013)
Article
Oncology
Cheryl L. Knott, Debarchana Ghosh, Beverly Rosa Williams, Crystal Park, Emily Schulz, Randi M. Williams, Xin He, Kathleen Stewart, Caryn Bell, Eddie M. Clark
CANCER EPIDEMIOLOGY
(2020)
Correction
Oncology
Randi M. Williams, Kenneth H. Beck, James Butler, Sunmin Lee, Min Qi Wang, Kathryn L. Taylor, Cheryl L. Knott
JOURNAL OF CANCER EDUCATION
(2020)
Article
Oncology
Randi M. Williams, Kenneth H. Beck, James Butler, Sunmin Lee, Min Qi Wang, Kathryn L. Taylor, Cheryl L. Knott
JOURNAL OF CANCER EDUCATION
(2020)
Article
Oncology
Kathryn L. Taylor, Marguerite A. Webster, Joanna G. Philips, Julia M. Whealan, Tania Lobo, Kimberly M. Davis, Chavalia J. Breece, Jennifer R. Wheeley, Jack E. Childs, Ariel Q. Le, Randi M. Williams, Irina G. Veytsman, Chul Kim
Summary: As part of the NCI's Cancer Center Cessation (C3i) initiative, a quality improvement assessment was conducted to evaluate the implementation process and patient-level outcomes of an evidence-based tobacco treatment program at the Georgetown Lombardi Comprehensive Cancer Center.
Article
Oncology
Randi M. Williams, Ellie Eyestone, Laney Smith, Joanna G. Philips, Julia Whealan, Marguerite Webster, Tengfei Li, George Luta, Kathryn L. Taylor
Summary: Offering smoking cessation treatment during lung cancer screening can greatly reduce the mortality rate associated with screening, but the factors predictive of treatment engagement are not well understood. This study found that individuals with higher education levels and those undergoing annual scans were more likely to engage in counseling sessions, while those with higher nicotine dependence were more likely to request nicotine replacement therapy. Efforts are needed to engage individuals with lower education levels, less intensive smoking histories, and those undergoing a first scan.
Article
Social Sciences, Interdisciplinary
Randi M. Williams, Jing Zhang, Nathaniel Woodard, Jimmie Slade, Sherie Lou Zara Santos, Cheryl L. Knott
EVALUATION AND PROGRAM PLANNING
(2020)
Article
Health Policy & Services
Nathaniel Woodard, Randi M. Williams, Craig S. Fryer, Min Qi Wang, Jing Zhang, Cheryl L. Knott
JOURNAL OF COMMUNITY HEALTH
(2020)
Article
Public, Environmental & Occupational Health
Cheryl L. Knott, Janice Bowie, C. Daniel Mullins, Sherie Lou Zara Santos, Jimmie Slade, Elizabeth Rosenberg, Nathaniel Woodard, Ralph Williams, Randi M. Williams
HEALTH PROMOTION PRACTICE
(2020)
Article
Psychology, Clinical
Crystal L. Park, Eddie M. Clark, Emily Schulz, Beverly Rosa Williams, Randi M. Williams, Cheryl L. Holt
JOURNAL OF BEHAVIORAL MEDICINE
(2019)
Article
Education & Educational Research
Randi M. Williams, Thomas Wilkerson, Cheryl L. Holt
HEALTH EDUCATION RESEARCH
(2018)
Article
Communication
Elisabeth C. Kassan, Randi M. Williams, Scott P. Kelly, Samantha A. Barry, Sofiya Penek, Mary B. Fishman, Carmella A. Cole, Edward M. Miller, Kathryn L. Taylor
JOURNAL OF HEALTH COMMUNICATION
(2012)
Article
Psychology, Multidisciplinary
Eddie M. Clark, Randi M. Williams, Emily Schulz, Beverly Rosa Williams, Cheryl L. Holtz
JOURNAL OF BLACK PSYCHOLOGY
(2018)
Article
Public, Environmental & Occupational Health
Randi M. Williams, Erin K. Tagai, Sherie Lou Zara Santos, Jimmie L. Slade, Roxanne L. Carter, Cheryl L. Holt
JOURNAL OF RELIGION & HEALTH
(2018)