Does engagement matter? The impact of patient and community engagement on implementation of cardiovascular health materials in primary care settings.

BACKGROUND: Engaging patients and community members in healthcare implementation, research and evaluation has become more popular over the past two decades. Despite the growing interest in patient engagement, there is scant evidence of its impact and importance. Boot Camp Translation (BCT) is one evidence-based method of engaging communities in research. The purpose of this report is to describe the uptake by primary care practices of cardiovascular disease prevention materials produced through four different local community engagement efforts using BCT. METHODS: EvidenceNOW Southwest (ENSW) was a randomized trial to increase cardiovascular disease (CVD) prevention in primary care practices. Because of its study design, Four BCTs were conducted, and the materials created were made available to participating practices in the "enhanced" study arm. As a result, ENSW offered one of the first opportunities to explore the impact of the BCT method by describing the uptake by primary care practices of health messages and materials created locally using the BCT process. Analysis compared uptake of locally translated BCT products vs. all other products among practices based on geography, type of practice, and local BCT. RESULTS: Within the enhanced arm of the study that included BCT, 69 urban and 13 rural practices participated with 9 being federally qualified community health centers, 14 hospital owned and 59 clinician owned. Sixty-three practices had 5 or fewer clinicians. Two hundred and ten separate orders for materials were placed by 43 of the 82 practices. While practices ordered a wide variety of BCT products, they were more likely to order materials developed by their local BCT. CONCLUSIONS: In this study, patients and community members generated common and unique messages and materials for cardiovascular disease prevention relevant to their regional and community culture. Primary care practices preferred the materials created in their region. The greater uptake of locally created materials over non-local materials supports the use of patient engagement methods such as BCT to increase the implementation and delivery of guideline-based care. Yes, patient and community engagement matters. TRIAL REGISTRATION AND IRB: Trial registration was prospectively registered on July 31, 2015 at ClinicalTrials.gov (NCT02515578, protocol identifier 15-0403). The project was approved by the Colorado Multiple Institutional Review Board and the University of New Mexico Human Research Protections Office.

Meaningful Patient Engagement in Adolescent and Young Adult (AYA) Cancer Research: A Framework for Qualitative Studies.

Over the last two decades, patient engagement in cancer research has evolved significantly, especially in addressing the unique challenges faced by adolescent and young adult (AYA) cancer populations. This paper introduces a framework for meaningful engagement with AYA cancer patient research partners, drawing insights from the "FUTURE" Study, a qualitative study that utilizes focus groups to explore the impact of cancer diagnosis and treatment on the sexual and reproductive health of AYA cancer patients in Canada. The framework's development integrates insights from prior works and addresses challenges with patient engagement in research specific to AYA cancer populations. The framework is guided by overarching principles (safety, flexibility, and sensitivity) and includes considerations that apply across all phases of a research study (collaboration; iteration; communication; and equity, diversity, and inclusion) and tasks that apply to specific phases of a research study (developing, conducting, and translating the study). The proposed framework seeks to increase patient engagement in AYA cancer research beyond a supplementary aspect to an integral component for conducting research with impact on patients.

Behaviour, barriers and facilitators of shared decision making in breast cancer surgical treatment: A qualitative systematic review using a 'Best Fit' framework approach.

BACKGROUND: Due to the diversity and high sensitivity of the treatment, there were difficulties and uncertainties in the breast cancer surgical decision-making process. We aimed to describe the patient's decision-making behaviour and shared decision-making (SDM)-related barriers and facilitators in breast cancer surgical treatment. METHODS: We searched eight databases for qualitative studies and mixed-method studies about breast cancer patients' surgical decision-making process from inception to March 2021. The quality of the studies was critically appraised by two researchers independently. We used a 'best fit framework approach' to analyze and synthesize the evidence. RESULTS: Twenty-eight qualitative studies and three mixed-method studies were included in this study. Four themes and 10 subthemes were extracted: (a) struggling with various considerations, (b) actual decision-making behaviours, (c) SDM not routinely implemented and (d) multiple facilitators and barriers to SDM. CONCLUSIONS: Patients had various considerations of breast surgery and SDM was not routinely implemented. There was a discrepancy between information exchange behaviours, value clarification, decision support utilization and SDM due to cognitive and behavioural biases. When individuals made surgical decisions, their behaviours were affected by individual-level and system-level factors. Therefore, healthcare providers and other stakeholders should constantly improve communication skills and collaboration, and emphasize the importance of decision support, so as to embed SDM into routine practice. PATIENT AND PUBLIC CONTRIBUTION: This systematic review was conducted as part of a wider research entitled: Breast cancer patients' actual participation roles in surgical decision making: a mixed method research. The results of this project helped us to better analyze and generalize patients' views.

Patient Characteristics and the Extent to Which Clinicians Involve Patients in Decision Making: Secondary Analyses of Pooled Data.

BACKGROUND: The occurrence of shared decision making (SDM) in daily practice remains limited. Various patient characteristics have been suggested to potentially influence the extent to which clinicians involve patients in SDM. OBJECTIVE: To assess associations between patient characteristics and the extent to which clinicians involve patients in SDM. METHODS: We conducted a secondary analysis of data pooled from 10 studies comparing the care of adult patients with (intervention) or without (control) a within-encounter SDM conversation tool. We included studies with audio(-visual) recordings of clinical encounters in which decisions about starting or reconsidering treatment were discussed. MAIN MEASURES: In the original studies, the Observing Patient Involvement in Decision Making 12-items (OPTION12 item) scale was used to code the extent to which clinicians involved patients in SDM in clinical encounters. We conducted multivariable analyses with patient characteristics (age, gender, race, education, marital status, number of daily medications, general health status, health literacy) as independent variables and OPTION12 as a dependent variable. RESULTS: We included data from 1,614 patients. The between-arm difference in OPTION12 scores was 7.7 of 100 points (P < 0.001). We found no association between any patient characteristics and the OPTION12 score except for education level (p = 0.030), an association that was very small (2.8 points between the least and most educated), contributed mostly by, and only significant in, control arms (6.5 points). Subanalyses of a stroke prevention trial showed a positive association between age and OPTION12 score (P = 0.033). CONCLUSIONS: Most characteristics showed no association with the extent to which clinicians involved patients in SDM. Without an SDM conversation tool, clinicians devoted more efforts to involve patients with higher education, a difference not observed when the tool was used. HIGHLIGHTS: Most sociodemographic patient characteristics show no association with the extent to which clinicians involve patients in shared decision making.Clinicians devoted less effort to involve patients with lower education, a difference that was not observed when a shared decision-making conversation tool was used.SDM conversation tools can be useful for clinicians to better involve patients and ensure patients get involved equally regardless of educational background.

Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials.

BACKGROUND: Ductal Carcinoma In Situ (DCIS) can progress to invasive breast cancer, but most DCIS lesions never will. Therefore, four clinical trials (COMET, LORIS, LORETTA, AND LORD) test whether active surveillance for women with low-risk Ductal carcinoma In Situ is safe (E. S. Hwang et al., BMJ Open, 9: e026797, 2019, A. Francis et al., Eur J Cancer. 51: 2296-2303, 2015, Chizuko Kanbayashi et al. The international collaboration of active surveillance trials for low-risk DCIS (LORIS, LORD, COMET, LORETTA),  L. E. Elshof et al., Eur J Cancer, 51, 1497-510, 2015). Low-risk is defined as grade I or II DCIS. Because DCIS grade is a major eligibility criteria in these trials, it would be very helpful to assess DCIS grade on mammography, informed by grade assessed on DCIS histopathology in pre-surgery biopsies, since surgery will not be performed on a significant number of patients participating in these trials. OBJECTIVE: To assess the performance and clinical utility of a convolutional neural network (CNN) in discriminating high-risk (grade III) DCIS and/or Invasive Breast Cancer (IBC) from low-risk (grade I/II) DCIS based on mammographic features. We explored whether the CNN could be used as a decision support tool, from excluding high-risk patients for active surveillance. METHODS: In this single centre retrospective study, 464 patients diagnosed with DCIS based on pre-surgery biopsy between 2000 and 2014 were included. The collection of mammography images was partitioned on a patient-level into two subsets, one for training containing 80% of cases (371 cases, 681 images) and 20% (93 cases, 173 images) for testing. A deep learning model based on the U-Net CNN was trained and validated on 681 two-dimensional mammograms. Classification performance was assessed with the Area Under the Curve (AUC) receiver operating characteristic and predictive values on the test set for predicting high risk DCIS-and high-risk DCIS and/ or IBC from low-risk DCIS. RESULTS: When classifying DCIS as high-risk, the deep learning network achieved a Positive Predictive Value (PPV) of 0.40, Negative Predictive Value (NPV) of 0.91 and an AUC of 0.72 on the test dataset. For distinguishing high-risk and/or upstaged DCIS (occult invasive breast cancer) from low-risk DCIS a PPV of 0.80, a NPV of 0.84 and an AUC of 0.76 were achieved. CONCLUSION: For both scenarios (DCIS grade I/II vs. III, DCIS grade I/II vs. III and/or IBC) AUCs were high, 0.72 and 0.76, respectively, concluding that our convolutional neural network can discriminate low-grade from high-grade DCIS.

COVID-19 clinical trial participation and awareness in Texas.

The COVID-19 pandemic required the rapid development of COVID-19 vaccines and treatments, necessitating quick yet representative clinical trial enrollment to evaluate these preventive measures. However, misinformation around the COVID-19 pandemic and general concerns about clinical trial participation in the U.S. hindered clinical trial enrollment. This study assessed awareness of, willingness to participate in, and enrollment in COVID-19 vaccine and treatment clinical trials in Texas. A quota sample of 1,089 Texas residents was collected online from June - July 2022. Respondents were asked if they were aware of, willing to participate in, and had enrolled in clinical trials for COVID-19 vaccines or treatments. Overall, 45.8% of respondents reported being aware of clinical trials for COVID-19 treatments or vaccines, but only 21.7% knew how to enroll and only 13.2% had enrolled in a COVID-19 clinical trial. Respondents with bachelor's or graduate degrees were more likely to be aware of clinical trials, more likely to have enrolled in trials, and more willing to participate in treatment trials. Women were less willing to participate and less likely to have enrolled in COVID-19 clinical trials than men. Respondents aged 55 years and older were more willing to participate, but less likely to have enrolled in COVID-19 clinical trials than 18-to-24-year-olds. Common reasons given for not participating in clinical trials included concerns that COVID-19 treatments may not be safe, government distrust, and uncertainty about what clinical trial participation would entail. Substantial progress is needed to build community awareness and increase enrollment in clinical trials.

Cardiac Rehabilitation Using the Family-Centered Empowerment Model is Effective in Improving Long-term Mortality in Patients with Myocardial Infarction: A 10-year Follow-Up Randomized Clinical Trial.

INTRODUCTION: Cardiac rehabilitation (CR) play a critical role in reducing the risk of future cardiovascular events and enhancing the quality of life for individuals who have survived a heart attack. AIM: To assess the mortality rates and stability of the effects in myocardial infarction (MI) survivors after implementing a Family-Centered Empowerment Model (FCEM)-focused hybrid cardiac rehabilitation program. METHODS: This double-blind randomized controlled clinical trial, conducted at Shariati Hospital, an academic teaching hospital in Tehran, Iran (2012-2023), involved 70 MI patients and their families. Participants were randomly assigned to an FCEM intervention group or standard CR control group. The intervention commenced after the MI patient's safe discharge from the CCU and continued for the entire 10-year follow-up period. Various questionnaires were utilized to collect data on mortality rates and health-related quality of life (HRQoL). RESULTS: The 10-year follow-up period revealed lower mortality rates in the intervention group (5.7%, 11.4%, and 17.1% at 5, 7, and 10 years, respectively) compared to the control group (20%, 37.1%, and 48.9%). After adjusting for age, gender, and BMI, the control group had a four times higher mortality risk (HR: 4.346, 95% CI 1.671-7.307, P = 0.003). The FCEM-focused program demonstrated a significant and sustained positive impact on participants' quality of life for 48 months, with greater improvement compared to the control group. CONCLUSION: This study highlights the effectiveness of FCEM-based hybrid CR programs in enhancing long-term patient outcomes and reducing mortality rates among MI survivors. Further research is needed to explore the potential benefits in larger samples and diverse populations. TRIAL REGISTRATION: This study (Identifier: NCT02402582) was registered in the ClinicalTrials.gov on 03/30/2015.

Applying the UTAUT2 framework to patients' attitudes toward healthcare task shifting with artificial intelligence.

BACKGROUND: Increasing patient loads, healthcare inflation and ageing population have put pressure on the healthcare system. Artificial intelligence and machine learning innovations can aid in task shifting to help healthcare systems remain efficient and cost effective. To gain an understanding of patients' acceptance toward such task shifting with the aid of AI, this study adapted the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), looking at performance and effort expectancy, facilitating conditions, social influence, hedonic motivation and behavioural intention. METHODS: This was a cross-sectional study which took place between September 2021 to June 2022 at the National Heart Centre, Singapore. One hundred patients, aged ≥ 21 years with at least one heart failure symptom (pedal oedema, New York Heart Association II-III effort limitation, orthopnoea, breathlessness), who presented to the cardiac imaging laboratory for physician-ordered clinical echocardiogram, underwent both echocardiogram by skilled sonographers and the experience of echocardiogram by a novice guided by AI technologies. They were then given a survey which looked at the above-mentioned constructs using the UTAUT2 framework. RESULTS: Significant, direct, and positive effects of all constructs on the behavioral intention of accepting the AI-novice combination were found. Facilitating conditions, hedonic motivation and performance expectancy were the top 3 constructs. The analysis of the moderating variables, age, gender and education levels, found no impact on behavioral intention. CONCLUSIONS: These results are important for stakeholders and changemakers such as policymakers, governments, physicians, and insurance companies, as they design adoption strategies to ensure successful patient engagement by focusing on factors affecting the facilitating conditions, hedonic motivation and performance expectancy for AI technologies used in healthcare task shifting.

Patients' experiences with shared decision-making in home-based palliative care - navigation through major life decisions.

BACKGROUND: This study addresses the issue of shared decision-making (SDM) in a Norwegian home-based palliative care setting. The significance of patient involvement in SDM is widely acknowledged, and many patients want to participate in decisions about care and treatment. Yet, it remains a need for more knowledge regarding the initiators and approaches of SDM in the context of home-based palliative care, particularly from the patients' perspective. The aim of this study is to understand patients' experiences and preferences for SDM in home-based palliative care, seeking to enhance the quality of care and direct the planning of healthcare services. METHODS: We used a qualitative explorative design. A hermeneutic approach was employed, and data was collected through in-dept interviews with 13 patients. RESULTS: The study uncovered an overarching theme of "Navigating to reach own decisions," comprising three sub-themes: "To be trapped in life without decisions to act on"; "To surrender to others and let others deal with decisions"; "To continue to be oneself without focusing on disease and decision-making". CONCLUSIONS: The findings underscore the need for flexible, person-centered approaches in SDM, tailored to the fluctuating health literacy and changing preferences of patients in palliative care settings. Our study contributes to the understanding of SDM in palliative care by highlighting how patients navigate the balance between autonomy and reliance on HCPs. Future research should explore how healthcare systems, including HCPs' roles in the system, can adapt to the patients' dynamic needs, to ensuring that SDM will remain a supportive and empowering process for patients at all stages of their disease.

[Discussing survey results in client panels appears a beneficial approach for a client counsel]. / Enquêteresultaten bespreken in cliëntenpanels: nuttige aanpak voor cliëntenraad.

BACKGROUND: The Client Participation Act in Healthcare Institutions prescribes that information must be collected as low as possible in the organization. To meet this need, Arkin’s client council started experimenting with a new way to get in touch with clients. METHOD: We regularly send a short survey to clients about a number of themes and we invite clients to discuss these in a client panel. Two rounds of surveys and panel discussions have now been organized on the following themes: waiting times, participation in treatment, stigma, ROM, eHealth and relative or friend. RESULTS: The experiences with the chosen approach were favorable. The collection of quantitative survey data and qualitative information from the panel discussion complemented each other and led to further professionalization of the work of the client council. Clients were happy to be involved in the work of the client council in this way. A better insight was gained into how they experience policy decisions and the client council was better able to present this information to the board of directors and the executive board of Arkin. CONCLUSION: The new approach has strengthened the position of the client council within Arkin. We consider this a good approach to implement the Client Participation Act.

Patient Engagement with Conversational Agents in Health Applications 2016-2022: A Systematic Review and Meta-Analysis.

Clinicians and patients seeking electronic health applications face challenges in selecting effective solutions due to a high market failure rate. Conversational agent applications ("chatbots") show promise in increasing healthcare user engagement by creating bonds between the applications and users. It is unclear if chatbots improve patient adherence or if past trends to include chatbots in electronic health applications were due to technology hype dynamics and competitive pressure to innovate. We conducted a systematic literature review using Preferred Reporting Items for Systematic reviews and Meta-Analyses methodology on health chatbot randomized control trials. The goal of this review was to identify if user engagement indicators are published in eHealth chatbot studies. A meta-analysis examined patient clinical trial retention of chatbot apps. The results showed no chatbot arm patient retention effect. The small number of studies suggests a need for ongoing eHealth chatbot research, especially given the claims regarding their effectiveness made outside the scientific literatures.

Changes in intention to use an interprofessional approach to decision-making following training: a cluster before-and-after study.

BACKGROUND: Health professionals in home care work in interprofessional teams. Yet most training in decision support assumes a one-on-one relationship with patients. We assessed the impact of an in-person training session in interprofessional shared decision-making (IP-SDM) on home care professionals' intention to adopt this approach. METHODS: We conducted a secondary analysis of a cluster stepped-wedge trial using a before-and-after study design. We collected data among home care professionals from November 2016 to February 2018 in 9 health and social services centers in Quebec, Canada. The intervention was an in-person IP-SDM training session. Intention to engage in IP-SDM pre- and post-session (dependent variable) was compared using a continuing professional development evaluation scale (CPD-Reaction) informed by the Godin's Integrated Behavioral Model for health professionals. We also assessed socio-demographic and psychosocial variables (beliefs about capabilities, beliefs about consequences, social influence and moral norm). We performed bivariate and multivariate analysis to identify factors influencing post-intervention intention. We used the STROBE reporting guidelines for observational studies to report our results. RESULTS: Of 134 respondents who provided complete pairs of questionnaires (pre- and post-), most were female (90.9%), mean age was 42 (± 9.3) years and 66.9% were social workers. Mean intention scores decreased from 5.84 (± 1.19) to 5.54 (± 1.35) (Mean difference = -0.30 ± 1.16; p = 0.02). Factors associated with higher intention post-intervention were social influence (ß = 0.34, p = 0.01) and belief about capabilities (ß = 0.49, p < 0.01). CONCLUSION: After in-person IP-SDM training, healthcare professionals' intention to engage in IP-SDM decreased. However, the scope of this decrease is probably not clinically significant. Due to their association with intention, beliefs about capabilities, which translate into having a sense of self-competency in the new clinical behavior, and social influences, which translate into what important others think one should be doing, could be targets for future research aiming to implement IP-SDM in home care settings.

[Prehabilitation through physical activity in oncology]. / Préhabilitation par l'activité physique en oncologie.

It has now been established that preoperative physical activity plays an essential role in minimizing postoperative complications. Patients who have undergone physical preparation recover their preoperative abilities more quickly. However, only about a third of those with access to such preparation report an improvement in their physical abilities. The modalities of intervention and follow-up, such as the training load and the generic format of the proposed sessions, seem to hinder patient participation in these programs, thus explaining the mixed results. In this context, it seems necessary to individualize prehabilitation in order to improve the functional capacities of people in this phase or in the phase of accelerated recovery after treatment or surgery.

Improving Heart Failure Patient Engagement with Mobile Apps Using Nurse Navigators.

ABSTRACT: Providing high-quality heart failure education through smartphone applications (apps) empowers patients to more successfully manage their disease process outside the hospital setting. The purpose of this project was to evaluate the addition of nurse navigators to increase engagement of newly-diagnosed heart failure patients with the GetWell Loop (GWL) technology program that assists patient learning and monitoring for self-care. Adding navigators increased patient engagement with the GWL over the use of the GWL without navigators.

with Rare Kidney Disease.

Chronic kidney disease (CKD) affects more than 35 million people in the United States, many of whom are undiagnosed. Included in this number are individuals with many types of rare kidney diseases, affecting 20,000 to 200,000 individuals nationwide. There is a major need to educate these individuals on the disease and its progression, especially since many individuals are not aware they have the disease. Descriptive correlational research was conducted in a nationwide sample of adult individuals living with rare glomerular kidney disease. Patient activation and quality of life were the concepts studied across the five CKD stages. New findings included statistically significant differences between participants' self-reported mental health quality of life and CKD Stage 1, with CKD Stages 4 and 5 in the rare kidney disease population. Nurses are essential for educating and supporting patients with rare kidney disease to preserve kidney function and slow disease progression.

TBCRC 057: Survey about willingness to participate in cancer clinical trials during the pandemic.

BACKGROUND: Breast cancer patients experienced heightened anxiety during the pandemic. Also, modifications to clinical trial activities allowing for virtual platforms, local assessments, and greater flexibility were introduced to facilitate participation. We sought to evaluate the association between pandemic-related anxiety and willingness to participate in trials and how pandemic-era modifications to trial activities affect the decision to participate. METHODS: We conducted an online survey from August to September, 2021 of patients with breast cancer assessing pandemic-related anxiety; clinical trials knowledge and attitudes; willingness to participate during and before the pandemic; and how each modification affects the decision to participate. Fisher's exact tests evaluated differences in proportions and two-sample t-tests evaluated differences in means. The association of pandemic-related anxiety with a decline in willingness to participate during compared to prior to the pandemic was modeled using logistic regression. RESULTS: Among 385 respondents who completed the survey, 81% reported moderate-severe pandemic-related anxiety. Mean willingness to participate in a trial was lower during the pandemic than prior [2.97 (SD 1.17) vs. 3.10 (SD 1.09), (p < 0.001)]. Severe anxiety was associated with higher odds of diminished willingness to participate during the pandemic compared to prior (OR 5.07). Each of the modifications, with the exception of opting out of research-only blood tests, were endorsed by >50% of respondents as strategies that would increase their likelihood of deciding to participate. CONCLUSIONS: While pandemic-related anxiety was associated with diminished willingness to participate in trials, the leading reasons for reluctance to consider trial participation were unrelated to the pandemic but included worries about not getting the best treatment, side effects, and delaying care. Patients view trial modifications favorably, supporting continuation of these modifications, as endorsed by the National Cancer Institute and others.

Patient Engagement Functionalities' Influence on Quality Outcomes: The Road via EHR Presence.

GOAL: Patients engaged in self-care through information technology can potentially improve the quality of healthcare they receive. This study aimed to examine how electronic health record (EHR) system functionalities help hospitals mediate the impact of patient engagement on quality outcomes-notably, readmission rates. METHODS: A pooled cross-sectional study design employed data containing 3,547 observations from general acute care hospitals (2014-2018). The breadth of patient engagement functionalities adopted by a hospital was used as the independent variable and the degree of EHR presence was used as the mediating variable. Mean time to readmission for acute myocardial infarction (AMI), pneumonia, and heart failure were the dependent variables. The Baron and Kenny method was used to test mediation. PRINCIPAL FINDINGS: Patient engagement was associated with reduced AMI readmission rates both directly and via EHR system presence. Mediation effects were present, in that a 1-unit increase in patient engagement through EHR system presence was associated with a 0.33% decrease in AMI readmission rates (p < .05). For other disease categories (heart failure and pneumonia), a significant effect was not found. PRACTICAL APPLICATIONS: For hospitals with a comprehensive EHR system, patient engagement through information technology can potentially reduce readmission rates for some diseases. More research is needed to determine which specific clinical conditions are amenable to quality improvement through patient engagement. Synergies between patient engagement functionalities and an EHR system positively affect quality outcomes. Therefore, practitioners and hospital managers should leverage hospital investments made in their EHR system infrastructure and use it to engage patients in self-care.

Impact of timing and format of patient decision aids for breast cancer patients on their involvement in and preparedness for decision making - the IMPACTT randomised controlled trial protocol.

BACKGROUND: After curative surgery for early-stage breast cancer, patients face a decision on whether to undergo surgery alone or to receive one or more adjuvant treatments, which may lower the risk of recurrence. Variations in survival outcomes are often marginal but there are differences in the side effects and other features of the options that patients may value differently. Hence, the patient's values and preferences are critical in determining what option to choose. It is well-researched that the use of shared decision making and patient decision aids can support this choice in a discussion between patient and clinician. However, it is still to be investigated what impact the timing and format of the patient decision aid have on shared decision making outcomes. In this trial, we aim to investigate the impact of a digital pre-consult compared to a paper-based in-consult patient decision aid on patients' involvement in shared decision making, decisional conflict and preparedness to make a decision. METHODS: The study is a randomised controlled trial with 204 patients at two Danish oncology outpatient clinics. Eligible patients are newly diagnosed with early-stage breast cancer and offered adjuvant treatments after curative surgery to lower the risk of recurrence. Participants will be randomised to receive either an in-consult paper-based patient decision aid or a pre-consult digital patient decision aid. Data collection includes patient and clinician-reported outcomes as well as observer-reported shared decision making based on audio recordings of the consultation. The primary outcome is the extent to which patients are engaged in a shared decision making process reported by the patient. Secondary aims include the length of consultation, preparation for decision making, preferred role in shared decision making and decisional conflict. DISCUSSION: This study is the first known randomised, controlled trial comparing a digital, pre-consult patient decision aid to an identical paper-based, in-consult patient decision aid. It will contribute evidence on the impact of patient decision aids in terms of investigating if pre-consult digital patient decisions aids compared to in-consult paper-based decision aids support the cancer patients in being better prepared for decision making. TRIAL REGISTRATION: ClinicalTrials.gov (NCT05573022).

Large language models as decision aids in neuro-oncology: a review of shared decision-making applications.

Shared decision-making (SDM) is crucial in neuro-oncology, fostering collaborations between patients and healthcare professionals to navigate treatment options. However, the complexity of neuro-oncological conditions and the cognitive and emotional burdens on patients present significant barriers to achieving effective SDM. This discussion explores the potential of large language models (LLMs) such as OpenAI's ChatGPT and Google's Bard to overcome these barriers, offering a means to enhance patient understanding and engagement in their care. LLMs, by providing accessible, personalized information, could support but not supplant the critical insights of healthcare professionals. The hypothesis suggests that patients, better informed through LLMs, may participate more actively in their treatment choices. Integrating LLMs into neuro-oncology requires navigating ethical considerations, including safeguarding patient data and ensuring informed consent, alongside the judicious use of AI technologies. Future efforts should focus on establishing ethical guidelines, adapting healthcare workflows, promoting patient-oriented research, and developing training programs for clinicians on the use of LLMs. Continuous evaluation of LLM applications will be vital to maintain their effectiveness and alignment with patient needs. Ultimately, this exploration contends that the thoughtful integration of LLMs into SDM processes could significantly enhance patient involvement and strengthen the patient-physician relationship in neuro-oncology care.