Decision making, preference and treatment choice for asymptomatic renal stones – Balancing benefit and risk of observation and surgical intervention: A real-world survey using social media (SoMe) platform

2021 ◽  
Author(s):  
Alexander Walters ◽  
Virginia Massella ◽  
Amelia Pietropaolo ◽  
Lucia Mosquera ◽  
Bhaskar K Somani
Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3001-3001
Author(s):  
Amanda Ribbands ◽  
Boris Gorsh ◽  
Abigail Bailey ◽  
Natalie Boytsov ◽  
Emily Luke ◽  
...  

Abstract Introduction: With each successive line of therapy (LOT), treatment choice for patients with multiple myeloma (MM) becomes increasingly complicated due to existing regimens and the lack of consensus on the standard of care for relapsed/refractory disease. There is a need for more real-world (RW) information on current MM treatments and clinical practices. More insight into the complexity of treatment choices for MM, increasing with each LOT, is also needed to better understand and inform patient treatment as their MM progresses. We aimed to examine current clinical practice and decision-making in the RW setting in MM. Methods: Data were derived from the Adelphi MM Disease Specific Programme™, a point-in-time survey of hematologists and hemato-oncologists conducted in the United States of America between August 2020 and July 2021, collating descriptive information on MM treatment patterns and decision-making from first-line (1L) to fourth-line therapy and beyond (4L+). Physicians completed online patient record forms for their next 8 consulting patients who had a confirmed diagnosis of MM and were actively receiving 1L-4L+ treatment (ie, a quota of ≥2 patients on each LOT). Results: A total of 63 physicians were included in the interim analysis, reporting patients who ever received, or are on at the time of data collection, a specific LOT. Data were provided for 259 patients with 1L treatment, 186 with second-line (2L), 120 with third-line (3L), 60 with 4L, and 2 with fifth-line treatment. Of the patients included in the study, 66% were male with a mean age of 67.7 years (standard deviation 8.16 years); 59% of patients used Medicare for their health insurance and 32% of patients had commercial insurance. The majority of patients received triplet regimens in each LOT (1L: 72%, 2L: 72%, 3L: 68%, 4L: 43%). The top 5 triplet regimens are shown in Table 1. Regimens including cluster of differentiation (CD)38-targeted treatments were used across all LOTs, with the most frequent use seen in earlier relapsed/refractory settings (1L: 8%, 2L: 45%, 3L: 26%, 4L: 19%). Retreatment with the same drug class occurred in 53% of patients treated with a proteasome inhibitor, 50% of patients treated with immunomodulatory drugs, and 4% of patients treated with CD38-targeted treatment. Disease progression/relapse was the most frequent reason for treatment cessation across all LOTs among patients who used either mono, doublet, triplet, or quad regimens (1L: n=92 [48%], 2L: n=72 [61%], 3L: n=37 [63%], 4L: n=2 [100%]). For all LOTs, the leading factors influencing physicians' treatment choice were good clinical data regarding overall survival (OS) (1L: 59%, 2L: 65%, 3L: 52%, 4L: 48%) followed by better efficacy overall (1L: 48%, 2L: 53%, 3L: 45%, 4L: 41%). In 3L, high overall response rate was also important (24%). Good clinical data regarding OS was the most frequent factor influencing choice of triplet regimens at 1L, 2L, and 3L (56%, 62%, and 50%, respectively), whereas manageable side effects profile was the leading factor driving choice of triplet regimen at 4L+ (43%). Other factors that influenced treatment choice included long-term safety, transplant eligibility, and effective use of the treatment as part of a combination therapy. Conclusion: We provide valuable RW data on current treatment patterns and decision-making in MM. Interim analyses revealed a trend for use of triplet therapies across all LOTs, high retreatment rate with the same drug class, and the importance of survival data and clinical efficacy as key factors influencing physician selection of treatment. Additional analyses will be conducted as physicians complete their patient reporting for the study to identify unmet needs and opportunities for new treatment strategies in MM. Funding: GlaxoSmithKline (Study 209997). Figure 1 Figure 1. Disclosures Ribbands: Adelphi Real World, paid employee: Current Employment. Gorsh: GlaxoSmithKline: Current Employment, Current equity holder in publicly-traded company. Boytsov: GlaxoSmithKline: Current Employment, Current equity holder in publicly-traded company. Luke: Adelphi Real World, paid employee: Current Employment. Lambert: Adelphi Real World, paid employee: Current Employment. Hogea: GlaxoSmithKline, paid employee: Current equity holder in publicly-traded company, Ended employment in the past 24 months.


2012 ◽  
Vol 3 (5) ◽  
pp. 379-381
Author(s):  
Dr. Aruna Kumar Mishra ◽  
◽  
Narendra Kumar Narendra Kumar ◽  
Abhishek Sharma

2020 ◽  
Vol 24 (1) ◽  
pp. 58
Author(s):  
Anwar Hafidzi

This research begins with an understanding of the endemic radicalism of society, not only of the real world, but also of various online social media. This study showed that the avoidance of online radicalism can be stopped as soon as possible by accusing those influenced by the radical radicality of a secular religious approach. The methods used must be assisted in order to achieve balanced understanding (wasathiyah) under the different environmental conditions of the culture through recognizing the meaning of religion. The research tool used is primarily library work and the journal writings by Abu Rokhmad, a terrorist and radicalise specialist. The results of this study are that an approach that supports inclusive ism will avoid the awareness of radicalization through a heart-to-heart approach. This study also shows that radical actors will never cease to argue dramatically until they are able to grasp different views from Islamic law, culture, and families.Keywords: radicalism, deradicalization, multiculturalism, culture, religion, moderate.Penelitian ini berawal dari paham radikalisme yang telah mewabah di masyarakat, bukan hanya di dunia nyata, bahkan sudah menyusup di berbagai media sosial online. Penelitian ini menemukan bahwa cara menangkal radikalisme online dapat dilakukan pencegahan sedini mungkin melalui pendekatan konseling religius multikultural terhadap mereka yang terkena paham radikal radikal. Diantara teknik yang digunakan adalah melalui pemahaman tentang konsep agama juga perlu digalakkan agar memunculkan pemahaman yang moderat (wasathiyah) diberbagai keadaan lingkungan masyarakat. Metode yang digunakan untuk penelitian ini adalah library research dengan sumber utama adalah karya dan jurnal karya Abu Rokhmad seorang pakar dalam masalah terorisme dan radikalisme. Temuan penelitian ini adalah paham radikalisasi itu dapat dihentikan dengan pendekatan hati ke hati dengan mengedepankan budaya yang multikultural. Kajian ini juga membuktikan bahwa pelaku paham radikal tidak akan pernah berhenti memberikan argumen radikal kecuali mampu memahami perbedaan pendapat yang bersumber dari syariat Islam, lingkungan sosial, dan keluarga.Kata kunci: radikalisme, deradikalisasi, multikultural, budaya, agama, moderat.


2020 ◽  
Author(s):  
Lili Zhang ◽  
Himanshu Vashisht ◽  
Alekhya Nethra ◽  
Brian Slattery ◽  
Tomas Ward

BACKGROUND Chronic pain is a significant world-wide health problem. It has been reported that people with chronic pain experience decision-making impairments, but these findings have been based on conventional lab experiments to date. In such experiments researchers have extensive control of conditions and can more precisely eliminate potential confounds. In contrast, there is much less known regarding how chronic pain impacts decision-making captured via lab-in-the-field experiments. Although such settings can introduce more experimental uncertainty, it is believed that collecting data in more ecologically valid contexts can better characterize the real-world impact of chronic pain. OBJECTIVE We aim to quantify decision-making differences between chronic pain individuals and healthy controls in a lab-in-the-field environment through taking advantage of internet technologies and social media. METHODS A cross-sectional design with independent groups was employed. A convenience sample of 45 participants were recruited through social media - 20 participants who self-reported living with chronic pain, and 25 people with no pain or who were living with pain for less than 6 months acting as controls. All participants completed a self-report questionnaire assessing their pain experiences and a neuropsychological task measuring their decision-making, i.e. the Iowa Gambling Task (IGT) in their web browser at a time and location of their choice without supervision. RESULTS Standard behavioral analysis revealed no differences in learning strategies between the two groups although qualitative differences could be observed in learning curves. However, computational modelling revealed that individuals with chronic pain were quicker to update their behavior relative to healthy controls, which reflected their increased learning rate (95% HDI from 0.66 to 0.99) when fitted with the VPP model. This result was further validated and extended on the ORL model because higher differences (95% HDI from 0.16 to 0.47) between the reward and punishment learning rates were observed when fitted on this model, indicating that chronic pain individuals were more sensitive to rewards. It was also found that they were less persistent in their choices during the IGT compared to controls, a fact reflected by their decreased outcome perseverance (95% HDI from -4.38 to -0.21) when fitted using the ORL model. Moreover, correlation analysis revealed that the estimated parameters had predictive value for the self-reported pain experiences, suggesting that the altered cognitive parameters could be potential candidates for inclusion in chronic pain assessments. CONCLUSIONS We found that individuals with chronic pain were more driven by rewards and less consistent when making decisions in our lab-in-the-field experiment. In this case study, it was demonstrated that compared to standard statistical summaries of behavioral performance, computational approaches offered superior ability to resolve, understand and explain the differences in decision- making behavior in the context of chronic pain outside the lab.


2021 ◽  
Vol 13 (12) ◽  
pp. 6581
Author(s):  
Jooyoung Hwang ◽  
Anita Eves ◽  
Jason L. Stienmetz

Travellers have high standards and regard restaurants as important travel attributes. In the tourism and hospitality industry, the use of developed tools (e.g., smartphones and location-based tablets) has been popularised as a way for travellers to easily search for information and to book venues. Qualitative research using semi-structured interviews based on the face-to-face approach was adopted for this study to examine how consumers’ restaurant selection processes are performed with the utilisation of social media on smartphones. Then, thematic analysis was adopted. The findings of this research show that the adoption of social media on smartphones is positively related with consumers’ gratification. More specifically, when consumers regard that process, content and social gratification are satisfied, their intention to adopt social media is fulfilled. It is suggested by this study that consumers’ restaurant decision-making process needs to be understood, as each stage of the decision-making process is not independent; all the stages of the restaurant selection process are organically connected and influence one another.


2021 ◽  
Vol 11 (6) ◽  
pp. 2817
Author(s):  
Tae-Gyu Hwang ◽  
Sung Kwon Kim

A recommender system (RS) refers to an agent that recommends items that are suitable for users, and it is implemented through collaborative filtering (CF). CF has a limitation in improving the accuracy of recommendations based on matrix factorization (MF). Therefore, a new method is required for analyzing preference patterns, which could not be derived by existing studies. This study aimed at solving the existing problems through bias analysis. By analyzing users’ and items’ biases of user preferences, the bias-based predictor (BBP) was developed and shown to outperform memory-based CF. In this paper, in order to enhance BBP, multiple bias analysis (MBA) was proposed to efficiently reflect the decision-making in real world. The experimental results using movie data revealed that MBA enhanced BBP accuracy, and that the hybrid models outperformed MF and SVD++. Based on this result, MBA is expected to improve performance when used as a system in related studies and provide useful knowledge in any areas that need features that can represent users.


Author(s):  
Jessica M. Franklin ◽  
Kai‐Li Liaw ◽  
Solomon Iyasu ◽  
Cathy Critchlow ◽  
Nancy Dreyer

Author(s):  
Leonardo Sousa Fortes ◽  
Petrus Gantois ◽  
Dalton de Lima-Júnior ◽  
Bruno Teixeira Barbosa ◽  
Maria Elisa Caputo Ferreira ◽  
...  

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