JMIR Cancer最新文献

{"title":"An mHealth App to Support Caregivers in the Medical Management of Their Child With Cancer: Beta Stage Usability Study.","authors":"Emily L Mueller, Anneli R Cochrane, Madison E Campbell, Sarah Nikkhah, Richard J Holden, Andrew D Miller","doi":"10.2196/52128","DOIUrl":"10.2196/52128","url":null,"abstract":"<p><strong>Background: </strong>Previous research demonstrated that caregivers of children with cancer desired a mobile health (mHealth) tool to aid them in the medical management of their child. Prototyping and alpha testing of the Cope 360 app (Commissioning Agents, Inc) resulted in improvements in the ability to track symptoms, manage medications, and prepare for urgent medical needs.</p><p><strong>Objective: </strong>This study aims to engage caregivers of children with cancer in beta testing of a smartphone app for the medical management of children with cancer, assess acceptance, identify caregivers' perceptions and areas for improvement, and validate the app's design concepts and use cases.</p><p><strong>Methods: </strong>In this pilot, study caregivers of children with cancer used the Cope 360 mHealth app for 1 week, with the goal of daily logging. Demographics and a technology acceptance survey were obtained from each participant. Recorded semistructured interviews were transcribed and analyzed iteratively using NVivo (version 12, QSR International) and analyzed for information on usage, perceptions, and suggestions for improvement.</p><p><strong>Results: </strong>A total of 10 caregivers participated in beta testing, primarily women (n=8, 80%), married, with some college education, and non-Hispanic White (n=10, 100%). The majority of participants (n=7, 70%) had children with acute lymphocytic leukemia who were being treated with chemotherapy only (n=8, 80%). Overall, participants had a favorable opinion of Cope 360. Almost all participants (n=9, 90%) believed that using the app would improve their ability to manage their child's medical needs at home. All participants reported that Cope 360 was easy to use, and most would use the app if given the opportunity (n=8, 80%). These values indicate that the app had a high perceived ease of use with well-perceived usefulness and behavioral intention to use. Key topics for improvement were identified including items that were within the scope of change and others that were added to a future wish list. Changes that were made based on caregiver feedback included tracking or editing all oral and subcutaneous medications and the ability to change the time of a symptom tracked or medication administered if unable to do so immediately. Wish list items included adding a notes section, monitoring skin changes, weight and nutrition tracking, and mental health tracking.</p><p><strong>Conclusions: </strong>The Cope 360 app was well received by caregivers of children with cancer. Our validation testing suggests that the Cope 360 app is ready for testing in a randomized controlled trial to assess outcome improvements.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":"10 ","pages":"e52128"},"PeriodicalIF":3.3,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11528164/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142477256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence for Optimizing Cancer Imaging: User Experience Study.","authors":"Iman Hesso, Lithin Zacharias, Reem Kayyali, Andreas Charalambous, Maria Lavdaniti, Evangelia Stalika, Tarek Ajami, Wanda Acampa, Jasmina Boban, Shereen Nabhani-Gebara","doi":"10.2196/52639","DOIUrl":"10.2196/52639","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The need for increased clinical efficacy and efficiency has been the main force in developing artificial intelligence (AI) tools in medical imaging. The INCISIVE project is a European Union-funded initiative aiming to revolutionize cancer imaging methods using AI technology. It seeks to address limitations in imaging techniques by developing an AI-based toolbox that improves accuracy, specificity, sensitivity, interpretability, and cost-effectiveness.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To ensure the successful implementation of the INCISIVE AI service, a study was conducted to understand the needs, challenges, and expectations of health care professionals (HCPs) regarding the proposed toolbox and any potential implementation barriers.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A mixed methods study consisting of 2 phases was conducted. Phase 1 involved user experience (UX) design workshops with users of the INCISIVE AI toolbox. Phase 2 involved a Delphi study conducted through a series of sequential questionnaires. To recruit, a purposive sampling strategy based on the project's consortium network was used. In total, 16 HCPs from Serbia, Italy, Greece, Cyprus, Spain, and the United Kingdom participated in the UX design workshops and 12 completed the Delphi study. Descriptive statistics were performed using SPSS (IBM Corp), enabling the calculation of mean rank scores of the Delphi study's lists. The qualitative data collected via the UX design workshops was analyzed using NVivo (version 12; Lumivero) software.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The workshops facilitated brainstorming and identification of the INCISIVE AI toolbox's desired features and implementation barriers. Subsequently, the Delphi study was instrumental in ranking these features, showing a strong consensus among HCPs (W=0.741, P&lt;.001). Additionally, this study also identified implementation barriers, revealing a strong consensus among HCPs (W=0.705, P&lt;.001). Key findings indicated that the INCISIVE AI toolbox could assist in areas such as misdiagnosis, overdiagnosis, delays in diagnosis, detection of minor lesions, decision-making in disagreement, treatment allocation, disease prognosis, prediction, treatment response prediction, and care integration throughout the patient journey. Limited resources, lack of organizational and managerial support, and data entry variability were some of the identified barriers. HCPs also had an explicit interest in AI explainability, desiring feature relevance explanations or a combination of feature relevance and visual explanations within the toolbox.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The results provide a thorough examination of the INCISIVE AI toolbox's design elements as required by the end users and potential barriers to its implementation, thus guiding the design and implementation of the INCISIVE technology. The outcome offers information about the degree of AI explainability required of the INCISIVE AI toolbox across","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":"10 ","pages":"e52639"},"PeriodicalIF":3.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502975/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142401585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of Family-Centered Care With Psychological Distress Among Caregivers of Children With Cancer at a Tertiary-Level Hospital in Ethiopia: Cross-Sectional Study.","authors":"Leul Deribe, Eshetu Girma, Nataliya Lindström, Abdulkadir Gidey, Solomon Teferra, Adamu Addissie","doi":"10.2196/54715","DOIUrl":"10.2196/54715","url":null,"abstract":"<p><strong>Background: </strong>Psychological distress (PD) is a common mental health problem faced by caregivers of children with cancer. The involvement of families in childcare was found to be associated with lower levels of distress.</p><p><strong>Objective: </strong>The study aims to determine the associations between family-centered care (FCC) and PD among caregivers of children with cancer receiving treatment at Tikur Anbessa Specialized Hospital (TASH), Ethiopia.</p><p><strong>Methods: </strong>An institution-based, cross-sectional study was conducted from June to December 2022. Caregivers of children with cancer aged 0-14 years receiving cancer treatment at the pediatric oncology unit completed a face-to-face, interviewer-administered, structured questionnaire during a routine inpatient or outpatient visit. The questionnaire included questions on the characteristics of the child and caregiver, PD (measured by the Kessler Psychological Distress Scale [K10]), FCC (measured by the Measure of Processes of Care [MPOC-20]), and social support (measured by the Oslo-3 Social Support Scale [OSS-3]). Data were collected using the Kobo toolbox and exported to SPSS (version 26; IBM Corp) for cleaning and analysis. A multivariable logistic regression model was used. An odds ratio with a 95% CI was calculated, and a P value less than .05 was considered statistically significant.</p><p><strong>Results: </strong>A total of 384 caregivers of children with cancer participated in the study. The total PD score ranged from 10 to 50, with a mean score of 17.30 (SD 8.96; 95% CI 16.84-18.60). The proportion of caregivers found to have mild, moderate, and severe levels of PD was 43 (11.2%), 35 (9.1%), and 51 (13.3%), respectively. The overall prevalence of mild to severe PD symptoms was 33.6% (95% CI 28.9%-38.3%). A statistically significant negative association was found between FCC and PD (adjusted odds ratio [AOR] 0.68, 95% CI 0.53-0.86). In addition, having no formal education (AOR 2.87, 95% CI 1.28-6.45), having a history of relapse (AOR 3.24, 95% CI 1.17-9.02), beginning cancer treatment at TASH (AOR 2.82, 95% CI 1.4-4.85), beginning treatment within the last 3 months (AOR 3.99, 95% CI 1.73-9.23), and beginning treatment within the last 4 to 18 months (AOR 2.68, 95% CI 1.25-5.76) were significantly associated with higher level of PD.</p><p><strong>Conclusions: </strong>A total of 1 in 3 caregivers have reported PD. FCC was found to be protective of PD. The finding of this study suggests the need for FCC intervention to improve the mental health condition of caregivers. In addition, the intervention needs to consider the educational status of the caregivers, the time since the cancer diagnosis, and the history of relapse.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":"10 ","pages":"e54715"},"PeriodicalIF":3.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502982/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142401586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Needs of Patients With Gynecologic Cancer and Their Caregivers for Obtaining mHealth-Supported Self-Management: Focus Group Study.","authors":"Grace B Campbell, Hansol Kim, Tara C Klinedinst, Julie Klinger, Young Ji Lee, Heidi S Donovan","doi":"10.2196/48465","DOIUrl":"10.2196/48465","url":null,"abstract":"<p><strong>Background: </strong>Family caregivers of individuals with gynecologic cancer experience high levels of distress. Web-based caregiver support interventions have demonstrated efficacy in improving caregiver outcomes. However, the lack of portability could be a limitation. Mobile health (mHealth) apps could fill this gap and facilitate communication between patient-caregiver dyads.</p><p><strong>Objective: </strong>We sought to obtain information on desired usage and features to be used to design an mHealth self-management support app targeting both patients with gynecologic cancer and their caregivers.</p><p><strong>Methods: </strong>We conducted Zoom focus groups with women who had been treated for gynecologic cancers (ovarian, fallopian, primary peritoneal, uterine, endometrial, cervical, and vulvar); patients were also asked to invite a self-identified \"closest support person\" (caregiver). A semistructured focus group guide was used to elicit information on patients' and caregivers' perceived gaps in information and support, desired features of an mHealth app, and interest in and preferences for app usage. After transcription, rapid qualitative analysis using a thematic matrix was used to identify common themes across groups.</p><p><strong>Results: </strong>A total of 8 groups were held. The final sample included 41 individuals with gynecologic cancer and 22 support persons or caregivers (total n=63). Patients were aged between 32 and 84 years, and most (38/41, 93%) were White and married. For caregivers (n=22), 15 (68%) identified as male and 7 (32%) as female, with ages ranging between 19 and 81 years. Overall, 59% (n=13) of caregivers were spouses. Questions geared at eliciting 3 a priori topics yielded the following themes: topic 1-gaps in information and support: finding relevant information is time-consuming; patients and caregivers lack confidence in deciding the urgency of problems that arise and from whom to seek information and guidance; topic 2-desired features of the mHealth app: patients and caregivers desire centralized, curated, trustworthy information; they desire timely recommendations tailored to specific personal and cancer-related needs; they desire opportunities to interact with clinical and peer experts through the app; and topic 3-interest and preferences for app usage: need for private space in the app for patients and caregivers to get information and support without the others' knowledge; patients and caregivers desire having control over sharing of information with other family members.</p><p><strong>Conclusions: </strong>Designing a single mHealth app to be used by patients and caregivers presents unique challenges for intervention designers and app developers. Implications of the study suggest that app developers need to prioritize flexibility in app functionality and provide individuals the ability to control information sharing between patients and caregivers.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":"10 ","pages":"e48465"},"PeriodicalIF":3.3,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11487211/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142366880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Racial Disparities in Awareness and Perceptions of Oncology Clinical Trials: Cross-Sectional Analysis of Baseline Data From the mychoice Study.","authors":"Ariel Hoadley, Linda Fleisher, Cassidy Kenny, Patrick Ja Kelly, Xinrui Ma, Jingwei Wu, Carmen Guerra, Amy E Leader, Mohammed Alhajji, Paul D'Avanzo, Zoe Landau, Sarah Bauerle Bass","doi":"10.2196/56048","DOIUrl":"10.2196/56048","url":null,"abstract":"<p><strong>Background: </strong>Black/African American adults are underrepresented in oncology clinical trials in the United States, despite efforts at narrowing this disparity.</p><p><strong>Objective: </strong>This study aims to explore differences in how Black/African American oncology patients perceive clinical trials to improve support for the clinical trial participation decision-making process.</p><p><strong>Methods: </strong>As part of a larger randomized controlled trial, a total of 244 adult oncology patients receiving active treatment or follow-up care completed a cross-sectional baseline survey on sociodemographic characteristics, clinical trial knowledge, health literacy, perceptions of cancer clinical trials, patient activation, patient advocacy, health care self-efficacy, decisional conflict, and clinical trial intentions. Self-reported race was dichotomized into Black/African American and non-Black/African American. As appropriate, 2-tailed t tests and chi-square tests of independence were used to examine differences between groups.</p><p><strong>Results: </strong>Black/African American participants had lower clinical trial knowledge (P=.006), lower health literacy (P<.001), and more medical mistrust (all P values <.05) than non-Black/African American participants. While intentions to participate in a clinical trial, if offered, did not vary between Black/African American and non-Black/African American participants, Black/African American participants indicated lower awareness of clinical trials, fewer benefits of clinical trials, and more uncertainty around clinical trial decision-making (all P values <.05). There were no differences for other variables.</p><p><strong>Conclusions: </strong>Despite no significant differences in intent to participate in a clinical trial if offered and high overall trust in individual health care providers among both groups, beliefs persist about barriers to and benefits of clinical trial participation among Black/African American patients. Findings highlight specific ways that education and resources about clinical trials could be tailored to better suit the informational and decision-making needs and preferences of Black/African American oncology patients.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":"10 ","pages":"e56048"},"PeriodicalIF":3.3,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11474127/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142356072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET-Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study.","authors":"Ali Janbain, Andrea Farolfi, Armelle Guenegou-Arnoux, Louis Romengas, Sophia Scharl, Stefano Fanti, Francesca Serani, Jan C Peeken, Sandrine Katsahian, Iosif Strouthos, Konstantinos Ferentinos, Stefan A Koerber, Marco E Vogel, Stephanie E Combs, Alexis Vrachimis, Alessio Giuseppe Morganti, Simon Kb Spohn, Anca-Ligia Grosu, Francesco Ceci, Christoph Henkenberens, Stephanie Gc Kroeze, Matthias Guckenberger, Claus Belka, Peter Bartenstein, George Hruby, Louise Emmett, Ali Afshar Omerieh, Nina-Sophie Schmidt-Hegemann, Lucas Mose, Daniel M Aebersold, Constantinos Zamboglou, Thomas Wiegel, Mohamed Shelan","doi":"10.2196/60323","DOIUrl":"10.2196/60323","url":null,"abstract":"<p><strong>Background: </strong>Salvage radiation therapy (sRT) is often the sole curative option in patients with biochemical recurrence after radical prostatectomy. After sRT, we developed and validated a nomogram to predict freedom from biochemical failure.</p><p><strong>Objective: </strong>This study aims to evaluate prostate-specific membrane antigen-positron emission tomography (PSMA-PET)-based sRT efficacy for postprostatectomy prostate-specific antigen (PSA) persistence or recurrence. Objectives include developing a random survival forest (RSF) model for predicting biochemical failure, comparing it with a Cox model, and assessing predictive accuracy over time. Multinational cohort data will validate the model's performance, aiming to improve clinical management of recurrent prostate cancer.</p><p><strong>Methods: </strong>This multicenter retrospective study collected data from 13 medical facilities across 5 countries: Germany, Cyprus, Australia, Italy, and Switzerland. A total of 1029 patients who underwent sRT following PSMA-PET-based assessment for PSA persistence or recurrence were included. Patients were treated between July 2013 and June 2020, with clinical decisions guided by PSMA-PET results and contemporary standards. The primary end point was freedom from biochemical failure, defined as 2 consecutive PSA rises >0.2 ng/mL after treatment. Data were divided into training (708 patients), testing (271 patients), and external validation (50 patients) sets for machine learning algorithm development and validation. RSF models were used, with 1000 trees per model, optimizing predictive performance using the Harrell concordance index and Brier score. Statistical analysis used R Statistical Software (R Foundation for Statistical Computing), and ethical approval was obtained from participating institutions.</p><p><strong>Results: </strong>Baseline characteristics of 1029 patients undergoing sRT PSMA-PET-based assessment were analyzed. The median age at sRT was 70 (IQR 64-74) years. PSMA-PET scans revealed local recurrences in 43.9% (430/979) and nodal recurrences in 27.2% (266/979) of patients. Treatment included dose-escalated sRT to pelvic lymphatics in 35.6% (349/979) of cases. The external outlier validation set showed distinct features, including higher rates of positive lymph nodes (47/50, 94% vs 266/979, 27.2% in the learning cohort) and lower delivered sRT doses (<66 Gy in 57/979, 5.8% vs 46/50, 92% of patients; P<.001). The RSF model, validated internally and externally, demonstrated robust predictive performance (Harrell C-index range: 0.54-0.91) across training and validation datasets, outperforming a previously published nomogram.</p><p><strong>Conclusions: </strong>The developed RSF model demonstrates enhanced predictive accuracy, potentially improving patient outcomes and assisting clinicians in making treatment decisions.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":"10 ","pages":"e60323"},"PeriodicalIF":3.3,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452751/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Usability and Acceptability of a Web Platform to Host the Group-Based TOGETHER-YA Quality of Life Intervention for Young Adult Cancer Survivors.","authors":"Rina S Fox, Tara K Torres, Terry A Badger, Emmanuel Katsanis, DerShung Yang, Stacy D Sanford, David E Victorson, Betina Yanez, Frank J Penedo, Michael H Antoni, Laura B Oswald","doi":"10.2196/58014","DOIUrl":"10.2196/58014","url":null,"abstract":"<p><strong>Background: </strong>Young adult (YA) cancer survivors aged 18-39 frequently report unmet health information and peer support needs, as well as poor health-related quality of life (HRQOL). Our team has developed a supportive care intervention, titled TOGETHER-YA, to improve YA cancer survivors' stress management skills. TOGETHER-YA is delivered via videoconference and has shown initial feasibility, acceptability, and promise for improving HRQOL among YA survivors.</p><p><strong>Objective: </strong>The purpose of this two-part study was to design and test a website to host the TOGETHER-YA intervention for YA cancer survivors aged 18-39. TOGETHER-YA is a 10-week, group-based program designed to promote health-related quality of life.</p><p><strong>Methods: </strong>In Part 1, we leveraged an existing online platform and adapted it to meet the needs of TOGETHER-YA. We conducted three iterative waves of usability testing with three YAs per wave to refine the website. In Part 2, we conducted a single-group feasibility trial of TOGETHER-YA using the website. Primary outcomes were feasibility (i.e., recruitment, retention, attendance) and acceptability (i.e., satisfaction).</p><p><strong>Results: </strong>Usability testing participants (N=9) indicated that the TOGETHER-YA website was easy to use (M=5.9, SD=1.3) and easy to learn (M=6.5, SD=0.9) (possible ranges: 1-7). Qualitative feedback identified needed revisions to the aesthetics (e.g., images), content (e.g., session titles), function (e.g., clarity of functionality), and structure (e.g., expandable sections), which were implemented. In the feasibility trial, participants (N=7) were an average of 25 years old (SD=4.7) and mostly non-Hispanic White (57%). Recruitment (70%) and retention (71%) rates and average session attendance (M=7.1, SD=4.2) supported feasibility. Participant agreement with positive statements about TOGETHER-YA and average satisfaction ratings (M=5.06, SD=1.64; possible range: 1-7) demonstrated acceptability.</p><p><strong>Conclusions: </strong>Results supported the usability, feasibility, and acceptability of the TOGETHER-YA program and website. By hosting the content online, the program effectively addresses YAs' expressed preference for convenience. Future studies are needed to increase TOGETHER-YA's efficiency and explore its efficacy for improving targeted outcomes.</p><p><strong>Clinicaltrial: </strong>NCT05597228, October 24, 2022.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142308739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lessons Learned From Shared Decision-Making With Oral Anticoagulants: Viewpoint on Suggestions for the Development of Oral Chemotherapy Decision Aids.","authors":"Daniel E McLoughlin, Fabiola M Moreno Echevarria, Sherif M Badawy","doi":"10.2196/56935","DOIUrl":"10.2196/56935","url":null,"abstract":"<p><p>Oral chemotherapy is commonly prescribed, and by using decision aids (DAs), clinicians can facilitate shared decision-making (SDM) to align treatment choices with patient goals and values. Although products exist commercially, little evidence informs the development of DAs targeting the unique challenges of oral chemotherapy. To address this gap in the literature, our objective was to review DAs developed for oral anticoagulation, DA use in oncology, and patient preference surveys to guide the development of DAs for oral chemotherapy. We focused on reviewing SDM, patient preferences, and specifically the development, efficacy, and patient experience of DAs in oral anticoagulation and oncologic conditions, ultimately including conclusions and data from 30 peer-reviewed publications in our viewpoint paper. We found that effective DAs in oral anticoagulation improved knowledge, lowered decisional conflict, increased adherence, and covered a broad range of SDM elements; however, limited information on patient experience was a common shortcoming. In oncology, DAs increased knowledge and aligned decisions with the values of the patients. Ineffective oncology DAs provided general, unclear, or overly optimistic information, while providing \"too much\" information was not shown to do harm. Patients preferred DAs that included pros and cons, side effects, questions to ask, and expected quality of life changes. In developing DAs for oral chemotherapy, patients should be included in the development process, and DA content should be specifically tailored to patient preferences. Providing DAs ahead of appointments proved more effective than during, and additional considerations included addressing barriers to efficacy. There is a need for evidence-based DAs to facilitate SDM for patients considering oral chemotherapy. Developers should use data from studies in oral anticoagulation, oncology, and preference surveys to optimize SDM.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":" ","pages":"e56935"},"PeriodicalIF":3.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11425020/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142074240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Smart Water Bottle and Companion App (HidrateSpark 3) to Improve Bladder-Filling Compliance in Patients With Prostate Cancer Receiving Radiotherapy: Nonrandomized Trial of Feasibility and Acceptability.","authors":"William Jin, Christopher Montoya, Benjamin James Rich, Crystal Seldon Taswell, Miguel Noy, Deukwoo Kwon, Benjamin Spieler, Brandon Mahal, Matthew Abramowitz, Raphael Yechieli, Alan Pollack, Alan Dal Pra","doi":"10.2196/51061","DOIUrl":"10.2196/51061","url":null,"abstract":"<p><strong>Background: </strong>Patients with prostate cancer undergoing radiation therapy (RT) need comfortably full bladders to reduce toxicities during treatment. Poor compliance is common with standard of care written or verbal instructions, leading to wasted patient value (PV) and clinic resources via poor throughput efficiency (TE).</p><p><strong>Objective: </strong>Herein, we assessed the feasibility and acceptability of a smartphone-based behavioral intervention (SBI) to improve bladder-filling compliance and methods for quantifying PV and TE.</p><p><strong>Methods: </strong>In total, 36 patients with prostate cancer were enrolled in a single-institution, closed-access, nonrandomized feasibility trial. The SBI consists of a fully automated smart water bottle and smartphone app. Both pieces alert the patient to empty his bladder and drink a personalized volume goal, based on simulation bladder volume, 1.25 hours before his scheduled RT. Patients were trained to adjust their volume goal and notification times to achieve comfortably full bladders. The primary end point was met if qualitative (QLC) and quantitative compliance (QNC) were >80%. For QLC, patients were asked if they prepared their bladders before daily RT. QNC was met if bladder volumes on daily cone-beam tomography were >75% of the simulation's volume. The Service User Technology Acceptability Questionnaire (SUTAQ) was given in person pre- and post-SBI. Additional acceptability and engagement end points were met if >3 out of 5 across 4 domains on the SUTAQ and >80% (15/18) of patients used the device >50% of the time, respectively. Finally, the impact of SBI on PV and TE was measured by time spent in a clinic and on the linear accelerator (linac), respectively, and contrasted with matched controls.</p><p><strong>Results: </strong>QLC was 100% in 375 out of 398 (94.2%) total treatments, while QNC was 88.9% in 341 out of 398 (85.7%) total treatments. Of a total score of 5, patients scored 4.33 on privacy concerns, 4 on belief in benefits, 4.56 on satisfaction, and 4.24 on usability via SUTAQ. Further, 83% (15/18) of patients used the SBI on >50% of treatments. Patients in the intervention arm spent less time in a clinic (53.24, SEM 1.71 minutes) compared to the control (75.01, SEM 2.26 minutes) group (P<.001). Similarly, the intervention arm spent less time on the linac (10.67, SEM 0.40 minutes) compared to the control (14.19, SEM 0.32 minutes) group (P<.001).</p><p><strong>Conclusions: </strong>This digital intervention trial showed high rates of bladder-filling compliance and engagement. High patient value and TE were feasibly quantified by shortened clinic times and linac usage, respectively. Future studies are needed to evaluate clinical outcomes, patient experience, and cost-benefit.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov NCT04946214; https://www.clinicaltrials.gov/study/NCT04946214.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":"10 ","pages":"e51061"},"PeriodicalIF":3.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11422727/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive Models for Long Term Survival of AML Patients Treated with Venetoclax and Azacitidine or 7+3 Based on Post Treatment Events and Responses: Retrospective Cohort Study.","authors":"Nazmul Islam, Jamie S Reuben, Justin Dale, James W Coates, Karan Sapiah, Frank R Markson, Craig T Jordan, Clay Smith","doi":"10.2196/54740","DOIUrl":"10.2196/54740","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The treatment of acute myeloid leukemia (AML) in older or unfit patients typically involves a regimen of venetoclax plus azacitidine (ven/aza). Toxicity and treatment responses are highly variable following treatment initiation and clinical decision-making continually evolves in response to these as treatment progresses. To improve clinical decision support (CDS) following treatment initiation, predictive models based on evolving and dynamic toxicities, disease responses, and other features should be developed.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aims to generate machine learning (ML)-based predictive models that incorporate individual predictors of overall survival (OS) for patients with AML, based on clinical events occurring after the initiation of ven/aza or 7+3 regimen.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Data from 221 patients with AML, who received either the ven/aza (n=101 patients) or 7+3 regimen (n=120 patients) as their initial induction therapy, were retrospectively analyzed. We performed stratified univariate and multivariate analyses to quantify the association between toxicities, hospital events, and short-term disease responses and OS for the 7+3 and ven/aza subgroups separately. We compared the estimates of confounders to assess potential effect modifications by treatment. 17 ML-based predictive models were developed. The optimal predictive models were selected based on their predictability and discriminability using cross-validation. Uncertainty in the estimation was assessed through bootstrapping.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The cumulative incidence of posttreatment toxicities varies between the ven/aza and 7+3 regimen. A variety of laboratory features and clinical events during the first 30 days were differentially associated with OS for the two treatments. An initial transfer to intensive care unit (ICU) worsened OS for 7+3 patients (aHR 1.18, 95% CI 1.10-1.28), while ICU readmission adversely affected OS for those on ven/aza (aHR 1.24, 95% CI 1.12-1.37). At the initial follow-up, achieving a morphologic leukemia free state (MLFS) did not affect OS for ven/aza (aHR 0.99, 95% CI 0.94-1.05), but worsened OS following 7+3 (aHR 1.16, 95% CI 1.01-1.31) compared to that of complete remission (CR). Having blasts over 5% at the initial follow-up negatively impacted OS for both 7+3 (P&lt;.001) and ven/aza (P&lt;.001) treated patients. A best response of CR and CR with incomplete recovery (CRi) was superior to MLFS and refractory disease after ven/aza (P&lt;.001), whereas for 7+3, CR was superior to CRi, MLFS, and refractory disease (P&lt;.001), indicating unequal outcomes. Treatment-specific predictive models, trained on 120 7+3 and 101 ven/aza patients using over 114 features, achieved survival AUCs over 0.70.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Our findings indicate that toxicities, clinical events, and responses evolve differently in patients receiving ven/aza compared with that of 7+3 regimen. ML-based","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":"10 ","pages":"e54740"},"PeriodicalIF":3.3,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375398/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}