Care Decisions Research Articles

Predictive model of prognosis index for invasive micropapillary carcinoma of the breast based on machine learning: a SEER population-based study

BackgroundInvasive micropapillary carcinoma (IMPC) is a rare subtype of breast cancer. Its epidemiological features, treatment principles, and prognostic factors remain controversial.ObjectiveThis study aimed to develop an improved machine learning-based model to predict the prognosis of patients with invasive micropapillary carcinoma.MethodsA total of 1123 patients diagnosed with IMPC after surgery between 1998 and 2019 were identified from the Surveillance, Epidemiology, and End Results (SEER) database for survival analysis. Univariate and multivariate analyses were performed to explore independent prognostic factors for the overall and disease-specific survival of patients with IMPC. Five machine learning algorithms were developed to predict the 5-year survival of these patients.ResultsCox regression analysis indicated that patients aged > 65 years had a significantly worse prognosis than those younger in age, while unmarried patients had a better prognosis than married patients. Patients diagnosed between 2001 and 2005 had a significant risk reduction of mortality compared with other periods. The XGBoost model outperformed the other models with a precision of 0.818 and an area under the curve of 0.863.ConclusionsA machine learning model for IMPC in patients with breast cancer was developed to estimate the 5-year OS. The XGBoost model had a promising performance and can help clinicians determine the early prognosis of patients with IMPC; therefore, the model can improve clinical outcomes by influencing management strategies and patient health care decisions.

Physicians’ training and patient education initiative to improve quality of care decision communication at the emergency department

BackgroundDiscussions about care decisions, including code status documentation and advance care planning, are crucial components of patient-centred care. However, due to numerous barriers, these discussions are often avoided by both...

How context influences the processing of relevant information and judgment accuracy-the role of information restriction in judgment processes in diagnosing misconceptions.

To adapt teaching to the prerequisites of students, teachers have various options at their disposal to gather and process information as the basis to form a judgment, such as carrying out tests, talking to and observing the behavior of students, or administering tasks. The complexity of such a judgment arises from the multitude of observations and their different possible explanations. This complexity might be reduced when teachers focus on one hypothesis instead of considering multiple hypotheses, interpret information in a confirmatory way, and not collect diagnostically relevant information. However, in this way, they run the risk of undesirable biased judgments. It therefore seems important to improve diagnostic judgments by selecting and processing information in a more reflective way. Research indicates that if information on a student is not easily available but restricted (e.g., by time pressure, difficult access to the student or high effort), a teacher who wants to make a careful decision is forced to rely on more reflective processes in the selection of tasks and in the interpretation of solutions. The present experimental study therefore investigates how the restricted availability of information in a specific diagnostic situation-when diagnostically inexperienced prospective mathematics teachers determine misconceptions in decimal fractions-influences the underlying cognitive processes. We assume that restricting the availability of information on student behavior augments the attentional focus and therefore reduces cognitive biases. Such more reflective processing can be observed by an increased time spent per piece of information, which should lead to the processing of relevant information and further increase judgment accuracy. To investigate these hypotheses, prospective teachers without prior knowledge in diagnosing misconceptions (N = 81) were asked to diagnose misconceptions on decimal fractions of virtual students by collecting information on students' solutions. Data concerning the effects of restricting the availability of information on teachers' cognitive processes were analyzed. The results show that with restricted information, participants indeed select a greater proportion of diagnostically relevant tasks, which positively influences judgment accuracy. These results are discussed with respect to their significance for framing teacher training and for further research.

Framework for Multistakeholder Patient Registries in the Field of Rare Diseases: Focus on Neurogenetic Diseases.

Progress in genetic diagnosis and orphan drug legislation has opened doors to new therapies in rare neurogenetic diseases (RNDs). Innovative therapies such as gene therapy can improve patients' quality of life but come with academic, regulatory, and financial challenges. Registries can play a pivotal role in generating evidence to tackle these, but their development requires multidisciplinary knowledge and expertise. This study aims to develop a practical framework for creating and implementing patient registries addressing common challenges and maximizing their impact on care, research, drug development, and regulatory decision making with a focus on RNDs. A comprehensive 3-step literature and qualitative research approach was used to develop the framework. A qualitative systematic literature review was conducted, extracting guidance and practices leading to the draft framework. Subsequently, we interviewed representatives of 5 established international RND registries to add learnings from hands-on experiences to the framework. Expert input on the draft framework was sought in digital multistakeholder focus groups to refine the framework. The literature search; interviews with 5 registries; and focus groups with patient representatives (n = 4), clinicians (n = 6), regulators, health technology assessment (HTA) bodies and payers (n = 7), industry representatives (n = 7), and data/information technology (IT) specialists (n = 5) informed development of the framework. It covers the interests of different stakeholders, purposes for data utilization, data aspects, IT infrastructure, governance, and financing of rare disease registries. Key principles include that data should be rapidly accessible, independent, and trustworthy. Governance should involve multiple stakeholders. In addition, data should be highly descriptive, machine-readable, and accessible through a shared infrastructure and not spread over multiple isolated repositories. Sustainable and independent financing of registries is deemed important but remains challenging because of a lack of widely supported funding models. The proposed framework will guide stakeholders in establishing or improving rare disease registries that fulfill requirements of academics and patients as well as regulators, HTA bodies, and commercial parties. There is a need for more clarity regarding quality requirements for registries in regulatory and HTA context. In addition, independent financing models for registries should be developed, as well as well-defined policies on technical uniformity in health data.

Consensus and controversies on post-acute care decision making and referral to geriatric rehabilitation: A national survey

BackgroundTransitioning older hospital patients to the appropriate type of post-acute care has become an urgent clinical issue within the context of changing demographics and limited duration of hospital stay. ObjectiveConsensus on assessments that guide post-acute care decision making would benefit potential patients and support cooperation between settings. DesignA national web-based questionnaire focusing on professional contributions, patient involvement and the use of triage items and measures. ParticipantsHospital and geriatric rehabilitation professionals in the Netherlands participated as respondent groups, representing ‘sending’ and ‘receiving’ professionals. MethodsA comprehensive questionnaire was used with open, multiple choice and closed questions, exploring in detail how assessment of hospital patients in need of a post-acute care decision was performed. Descriptive statistics were applied together with deductive coding of qualitative data. ResultsA total of 104 hospital liaison nurses (66.7 %) and 52 GR professionals (33.3 %) participated. Respondents were reasonably satisfied with the current triage practice. Hospital liaison nurses valued their operational responsibility for triage. Geriatric rehabilitation professionals wanted active involvement in decision making and deemed hospital paramedic expertise sub-optimally applied. ‘Too little involvement’ of patients and families was felt by 50.0 % of the GR respondents versus 15.5 % of hospital respondents. The importance of half (47.8 %) of the triage items was rated differently between respondent groups. When discussing complex cases between sending and receiving professionals, views were felt as complementary. ConclusionsBoth sending and receiving professionals expressed moderate satisfaction with post-acute care decision making, whereas their views on triage assessments differed according to setting and role. The patients’ voice may be insufficiently heard in triage decisions. Shared expertise and a consensual approach can develop when triage consultation is facilitated by both hospitals and PAC facilities. This study offers ingredients to reach a multi-professional view on post-acute care decision making and referral to geriatric rehabilitation.

What Influences the Use of Research by the Adult Social Care Workforce?

Abstract Despite a recognition that research evidence plays a critical role in informing decisions in adult social care, there has been little investment in developing the sector’s own capacity to engage with it. This article reports on a qualitative study of the adult social care workforce (social workers, occupational therapists, managers and commissioners) in three local authorities in England. Data were collected through twenty-five semi-structured interviews with key stakeholders and analysed iteratively using thematic analysis. The interviews explored participants’ understanding and use of research in adult social care. Four key influences on research use were identified: time; accessibility; skills and confidence; and organisational support. Finding time was the most frequently cited barrier. This was exacerbated by the difficulties participants described in finding research that was trusted and relevant. Protected time was regarded as essential, and both organisations and individuals had a role in ensuring that time was available to engage with research. Participants identified skills gaps, including how to read, critically appraise and apply evidence from research. The findings confirm an appetite within the workforce for developing the skills and confidence to make more use of research but suggest that achieving this requires organisational support and access to resources.

Preferences for Tapering Biologic Disease-Modifying Antirheumatic Drugs Among People With Rheumatoid Arthritis: A Discrete Choice Experiment.

Little is known about the preferences of people with rheumatoid arthritis (RA) regarding tapering of biologic disease-modifying antirheumatic drugs (bDMARDs). The aim of this study was to assess the preferences of people with RA in relation to potential treatment-related benefits and risks of bDMARD tapering and the health care service-related attributes that affect tapering. Participants with RA who had experience taking a bDMARD completed an online discrete choice experiment. Participants were asked their preferences when given three hypothetical treatment scenarios in which varying the frequency of treatment might alter their chance of adverse effects, of regaining disease control, and of other health care service-related effects. Preference weights were estimated using a multinomial logit model. There were 142 complete responses. Reduced dosing frequency of bDMARD treatment had the largest impact on preference (mean 1.0, 95% confidence interval [CI] 0.8-1.2), followed by chance of disease flare (mean 0.7, 95% CI 0.6-0.9). Participants were willing to accept an increased risk of flare between 10.6% (95% CI 3.2-17.9) and 60.6% (95% CI 48.1-72.9) in exchange for benefits associated with tapering bDMARDs. Participants with better quality of life were more likely to choose to remain on current treatment. The predicted uptake of bDMARD tapering was high among people with RA, suggesting bDMARD tapering was a favored option. For individuals with RA, making decisions about tapering bDMARDs involves considering several factors, with the most important determinants identified as dosing frequency and the risk of disease flare. Understanding patient perspectives of bDMARD tapering may enable physicians to make patient-focused shared health care decisions.

Abstract C074: Patient-provider communication and receipt of definitive prostate cancer treatment by race and rurality

Abstract Background: Patient-provider communication (PPC) is critical in treatment decisions for cancer care, and it is unknown if improved communication may mitigate disparities in prostate cancer (PCa) outcomes by race and rurality. We examined associations between PPC and treatment receipt among Black and White patients diagnosed with incident PCa in the North Carolina Louisiana Prostate Cancer Project. Methods: Near-equal numbers of Black (n=1130) and White (n=1128) participants were recruited by rapid case ascertainment from 2004-2009. PPC was assessed from the baseline survey, where participants rated their cancer provider using three subscales adapted from the Primary Care Assessment Survey for contextual knowledge of the patient (CK: knowledge of patient’s medical history, home/work responsibilities, their worries, and the patient as a person), and communication content (CMN: doctor’s thoroughness of questions, attention, explanations of health problems, instructions about symptoms, and advice/help in making care decisions), and interpersonal treatment (IT: amount of time spent, patience, friendliness, caring, concern, and respect for patient). First-course treatment was ascertained from medical records and defined as definitive (surgery or radiation) compared to non-definitive treatment (all other). We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for receipt of definitive treatment with logistic regression, adjusted for age at diagnosis, cancer aggressiveness, educational attainment, and marital status. Results: Black participants were diagnosed at younger ages (mean 62 vs. 64 years) with more aggressive disease (21% vs. 15%) and received surgery or radiation less often than White participants (73% vs. 77%). Median PPC subscales differed between Black and White participants (CK: 16 vs 15; CMN: 23 vs 24; IT: 22 vs 23), and between rural and urban participants (CK: 16 vs 16; CMN: 22 vs 24; IT: 21 vs 23). The odds of receiving definitive treatment was associated with positive communication content (1.12, 1.06-1.18), and interpersonal treatment (1.08, 1.02-1.14) among Black and White participants. Among urban participants, communication content (1.09, 1.05-1.15), and interpersonal treatment (1.09, 1.04-1.14) were associated with higher odds of definitive treatment. Among rural participants, higher communication content was associated with increased odds of receiving definitive treatment (OR 1.15, 95%CI: 1.04-1.28). We did not observe associations for contextual knowledge with the odds of receipt for definitive treatment subgroups. Conclusions: Positive patient-provider communication was associated with higher odds of receiving surgery/radiation in a historical cohort of PCa patients diagnosed between 2004-2009. Higher communication content and interpersonal treatment could promote uptake of contemporary guideline-based treatment recommendations for PCa. Future research will assess the validity and reliability of the communication subscales via annual follow-up questionnaires and associations with cancer-specific survival. Citation Format: Jeanny H Wang, Bria Carmichael, Shaun Jones, Hung-Jiu Tan, Deshira D. Wallace, Jennifer L. Lund, Lixin Song, Jeannette T. Bensen, Eboneé N. Butler. Patient-provider communication and receipt of definitive prostate cancer treatment by race and rurality [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C074.

Surgical practices in emergency umbilical hernia repair and implications for trial design

IntroductionThere is variation in the investigation, management, and surgical technique of acutely symptomatic umbilical hernias and optimal strategies remain to be established. This survey aimed to identify key variables influencing decision-making and preferred surgical techniques in emergency umbilical hernia care to help inform trial design and understand potential challenges to trial delivery.MethodsA survey was distributed to surgeons through social media, personal contacts, and ASGBI lists. It comprised five sections: (i) performer of repair, (ii) repair preferences, (iii) important outcomes, (iv) perioperative antibiotic use, and (v) potential future trial design.ResultsThere were 105 respondents, of which 49 (46.6%) were consultants. The median largest defect surgeons would attempt to repair with sutures alone was 2 cm (IQR 2–4 cm). In the acute setting, the most common mesh preferences are preperitoneal plane placement (n = 61, 58.1%), with synthetic non-absorbable mesh (n = 72, 68.6%), in clean (n = 41, 39.0%) or clean-contaminated (n = 52, 49.5%) wounds. Respondents believed suture repair to be associated with better short-term outcomes, and mesh repair with better long-term outcomes. Pre-/intra-operative antibiotics were very frequently given (n = 48, 45.7%) whilst post-operative antibiotics were rarely (n = 41, 39%) or very rarely (n = 28, 26.7%) given. The trial design felt to most likely influence practice is comparing mesh and suture repair, and post-operative antibiotics versus no post-operative antibiotics. Respondents indicated that to change their practice, the median difference in surgical site infection rate and recurrence rate would both need to be 5%.ConclusionThis survey provides insight into surgical preferences in emergency umbilical hernia management, offering guidance for the design of future trials.

“In an ideal world”: A qualitative exploration of shared decision-making and weight stigma in antenatal care

BackgroundShared decision-making supports women’s autonomy in antenatal care, but several barriers to shared decision-making have been identified in practice. Women with high body mass index experience a higher rate of interventions, which could provide more opportunities for shared decision-making in antenatal care. However, weight stigma may exist as a barrier to shared decision-making, limiting access to collaborative care. AimTo explore how shared decision-making is implemented and whether body mass index influences maternity clinicians' use of shared decision-making when providing antenatal care for women. MethodsMaternity clinicians were recruited via purposive sampling from two sites in metropolitan Melbourne, Australia. Semi-structured interviews were audio recorded, transcribed, and analysed using reflexive thematic analysis. FindingsTwelve maternity clinicians consented to participate. Three themes and ten sub-themes were identified. The themes were: 1) Whose choice is it anyway? 2) Pregnancy as risky 3) Excess weight as a diseased state. DiscussionMaternity clinicians in this study view pregnancy through a risk management lens that complicates women’s involvement in decision-making, demonstrating inherent beliefs that may further limit options for women with high body mass index. ConclusionShared decision-making is difficult to implement in the current antenatal clinic setting and requires significant structural consideration to become a reality for women. Clinicians may inadvertently limit meaningful opportunities to engage in shared decision-making with women with high body mass index due to preconceived perceptions of risk and stigmatising beliefs about women with high body mass index.

Older adults’ experiences of being screened for fall risk in a clinical setting: a focus group study

Abstract Purpose There is a need for further research on older adults’ experiences of fall risk screening to improve health communication strategies. The purpose of this study was to describe and explore older adults’ experiences of being screened for risk of an injurious fall, using the first-time injurious falls (FIF) screening tool. Methods A qualitative study with five focus group interviews was carried out including 17 older adults (11 women and six men, with a mean age of 77.4 years) who were recruited from two primary healthcare rehabilitation clinics in Sweden. Data were analyzed using reflexive thematic analysis. Results The analysis generated one overarching theme, “Screening for fall risk promotes engagement by raising older adults’ awareness of their own abilities”, and four categories; “Screening may motivate to take action but can also create a false sense of security”, “Self-sufficiency is affected by the screening result and level of control over the environment”, “Easy-to-perform and helps to facilitate a discussion with the healthcare professional” and “Ideas of how FIF tool could be used in healthcare”. Conclusion Older adults considered screening for fall risk to be meaningful insofar as it raises awareness of their own abilities and motivates them to prevent falls. On the other hand, a low fall risk could create a false sense of security, and lack of control over environmental factors related to fall risk could negatively impact their sense of self-sufficiency. They emphasized the need to receive support from healthcare providers and to be involved in care decisions if the screening indicates a high fall risk.

Varieties of silence – a mixed-methods study exploring reasons and justifications for nondisclosure of the use of complementary therapies to physicians in Finland

BackgroundIn health care, two in three users of complementary therapies (CT) stay silent about their CT use. Disclosure of CT use to physicians is important for patient safety, participation, and shared decision-making. Common reasons for CT nondisclosure include patients´ expectations of physicians’ unaccepting response to disclosure, physicians not asking, and patients believing it is unnecessary. This study aimed to increase understanding of patient silence. We investigated how the reasons for nondisclosure of CT use reported by CT users were associated with the frequency of CT disclosure and how these associations and reported justifications to keep silent reflect patient silence among the study participants.MethodsThis mixed-methods study used existing data from the non-probability-based online survey (n = 6802) targeted to CT users among the general population in Finland. A qualitative structured tabular thematic analysis was conducted for the selected 342 brief texts describing the reasons and justification for not telling physicians about CT use. The associations between the frequency of CT disclosure and the reasons for CT nondisclosure were analysed by crosstabulations and binary logistic regression analysis with SPSS (v28).ResultsThree types of patient silence were revealed. Avoidant silence illustrates the respondents coping with the fear of unwanted response from a physician and avoiding the expected negative consequences of CT disclosure. Precautionary silence exemplifies respondents striving to prevent the reoccurrence of previously experienced frustration of wishes to be seen and heard as CT users. Conditional silence portrays the self-confidence of respondents who assessed their need to disclose CT use to physicians on a case-by-case basis.ConclusionsSilence, for some patients, may serve as a way of warding off past and possible future fears and frustrations related to CT disclosure. It is important to recognise different types of patient silence related to CT disclosure to enhance patient participation and shared decision-making in health care. Efforts are needed to provide health policy decision-makers with information about CT users’ lived experiences with CT communication in health care.

Real-world response assessment of immune checkpoint inhibition: comparing iRECIST and RECIST 1.1 in melanoma and non-small cell lung cancer patients.

To compare immune response evaluation criteria in solid tumors (iRECIST) and response evaluation criteria in solid tumors (RECIST) 1.1 for response assessment of immune checkpoint inhibitor (ICI) therapy in a real-world setting in patients with melanoma and non-small cell lung cancer (NSCLC). Two-hundred fifty-two patients with melanoma and NSCLC who received CTLA-4 inhibitor ipilimumab or PD-1 inhibitors nivolumab or pembrolizumab and who underwent staging CT of the chest and abdomen were retrospectively included. Treatment response evaluation according to the RECIST 1.1 and iRECIST guidelines was performed for all patients. Response patterns, as well as overall response rate (ORR), disease control rate (DCR), and time to progression (TTP), were compared between RECIST 1.1 and iRECIST. Out of 143 patients with progressive disease (PD) according to RECIST 1.1, 48 (33.6%) did not attain confirmation of progression (iCPD) as per iRECIST and six patients who were treated beyond RECIST 1.1 progression reached PD at a later point in time in iRECIST, resulting in a significant difference in TTP between iRECIST and RECIST 1.1 (618.3 ± 626.9 days vs. 538.1 ± 617.9 days, respectively (p < 0.05)). The number of non-responders as per RECIST 1.1 was 79, whereas it was 60 when using iRECIST. ORR was 28.5% for RECIST 1.1 and 34.1% for iRECIST, and corresponding DCR of 67.4% for RECIST 1.1 and 74.6% for iRECIST. iRECIST was more suitable than RECIST 1.1 for capturing atypical response patterns to ICI therapy in patients with melanoma and NSCLC, resulting in differences in the assessment of treatment response. Compared to RECIST 1.1, iRECIST may improve patient care and treatment decisions for patients with NSCLC or melanoma who are treated with immune checkpoint inhibitors in clinical routine. RECIST 1.1 may incorrectly assess atypical treatment patterns to immune checkpoint inhibitors. iRECIST better captured atypical response patterns compared to RECIST 1.1. iRECIST was more suitable for assessing response to immune checkpoint inhibitors in non-small cell lung carcinoma and melanoma.

Comparative performance analysis of large language models: ChatGPT-3.5, ChatGPT-4 and Google Gemini in glucocorticoid-induced osteoporosis

BackgroundsThe use of large language models (LLMs) in medicine can help physicians improve the quality and effectiveness of health care by increasing the efficiency of medical information management, patient care, medical research, and clinical decision-making.MethodsWe collected 34 frequently asked questions about glucocorticoid-induced osteoporosis (GIOP), covering topics related to the disease’s clinical manifestations, pathogenesis, diagnosis, treatment, prevention, and risk factors. We also generated 25 questions based on the 2022 American College of Rheumatology Guideline for the Prevention and Treatment of Glucocorticoid-Induced Osteoporosis (2022 ACR-GIOP Guideline). Each question was posed to the LLM (ChatGPT-3.5, ChatGPT-4, and Google Gemini), and three senior orthopedic surgeons independently rated the responses generated by the LLMs. Three senior orthopedic surgeons independently rated the answers based on responses ranging between 1 and 4 points. A total score (TS) > 9 indicated ‘good’ responses, 6 ≤ TS ≤ 9 indicated ‘moderate’ responses, and TS < 6 indicated ‘poor’ responses.ResultsIn response to the general questions related to GIOP and the 2022 ACR-GIOP Guidelines, Google Gemini provided more concise answers than the other LLMs. In terms of pathogenesis, ChatGPT-4 had significantly higher total scores (TSs) than ChatGPT-3.5. The TSs for answering questions related to the 2022 ACR-GIOP Guideline by ChatGPT-4 were significantly higher than those for Google Gemini. ChatGPT-3.5 and ChatGPT-4 had significantly higher self-corrected TSs than pre-corrected TSs, while Google Gemini self-corrected for responses that were not significantly different than before.ConclusionsOur study showed that Google Gemini provides more concise and intuitive responses than ChatGPT-3.5 and ChatGPT-4. ChatGPT-4 performed significantly better than ChatGPT3.5 and Google Gemini in terms of answering general questions about GIOP and the 2022 ACR-GIOP Guidelines. ChatGPT3.5 and ChatGPT-4 self-corrected better than Google Gemini.

A Qualitative Study on the Impact and Feasibility of a Simulation-Based Program for Shared Decision-Making in Non-Small Cell Lung Cancer Care.

In the pursuit of improved clinical outcomes and patient experience in health care, shared decision-making (SDM) stands as a pivotal concept garnering increasing attention, but SDM utilization varies widely, often leading to confusion regarding team members' roles. This study explores knowledge, skills, and attitudes of oncology clinicians engaged in a pioneering educational initiative at a comprehensive cancer care center, aimed at enhancing frontline SDM capabilities. Utilizing a prospective cohort qualitative approach, the team conducted interviews with 6 clinicians in a multidisciplinary oncology program who were engaged in an SDM continuing education program. In the program, participants were immersed in experiential learning activities including standardized didactic sessions and simulation-based SDM case role-play activities. Thematic analysis of interview data revealed 5 major categories: 1) perceptions of SDM; 2) training; 3) patient-centered care; 4) challenges and constraints; and 5) leadership buy-in. Participants perceived benefits, including adopting a better approach to integrate SDM into their practice, heightened engagement, emphasizing team collaboration, and embracing a patient-centric care model. This study underscores the transformative impact of education and training on enhancing SDM capabilities among oncology clinicians and is not intended for generalizability. By promoting a basic understanding and application of SDM principles, practicing clinicians can be better empowered to improve health care outcomes and experience. Our findings contribute to the broader endeavor of embedding practical SDM principles within clinical practice, thereby fostering a more patient-centered and effective health care environment.

Investigating clinical decision-making in bleeding complications among nursing students: A longitudinal mixed-methods study

AimTo describe undergraduate nursing students’ clinical decision-making in post-procedural bleeding scenarios and explore the changes from the first to the final year of their program. BackgroundBleeding is a common complication following invasive procedures and its effective management requires nurses to develop strong clinical decision-making competencies. Although nursing education programs typically address bleeding complications, there is a gap in understanding how nursing students make clinical decisions regarding these scenarios. Additionally, little is known about how their approach to bleeding management evolves over the course of their education. DesignLongitudinal mixed-methods study based on the Recognition-Primed Decision Model. MethodsA total of 59 undergraduate students recorded their responses to two clinical decision-making vignettes depicting patients with signs of bleeding post-hip surgery (first year) and cardiac catheterization (final year). Their responses were analyzed using content analysis. The resulting categories capture the cues students noticed, the goals they aimed to achieve, the actions they proposed and their expectations for how the bleeding situations might unfold. Code frequencies showing the most variation between the first and final years were analyzed to explore changes in students’ clinical decision-making. ResultsNearly all students focused on two primary categories: ‘Bleeding’ and ‘Instability and Shock.’ Fewer students addressed six secondary categories: ‘Stress and Concern,’ ‘Pain,’ ‘Lifestyle and Social History,’ ‘Wound Infection,’ ‘Arrhythmia,’ and ‘Generalities in Surgery.’ Students often concentrated on actions to manage bleeding without further assessing its causes. Changes from the first to the final year included a more focused assessment of instability and shifts in preferred actions. ConclusionsThis study reveals that nursing students often prioritize immediate actions to stop bleeding while sometimes overlooking the assessment of underlying causes or broader care goals. It suggests that concept-based learning and reflection on long-term outcomes could improve clinical decision-making in post-procedural care.

Former Primary Caregivers of Patients With Glioblastoma Multiforme Evaluate the PATH (Preparedness Assessment for the Transition Home) Instrument.

To evaluate whether Preparedness Assessment for the Transition Home (PATH), a validated instrument assessing gaps in caregiver commitment and capacity to care for a patient with a disabling condition, would be helpful to identify gaps in preparing primary caregivers of patients with glioblastoma multiforme (GBM). A descriptive survey design with quantitative and qualitative data. Former primary caregivers of patients with GBM were invited to complete a 17-question online survey during February and March 2023. Former caregivers, each having completed their caregiver journeys, are able to offer a unique perspective across the illness trajectory. Participants reviewed a copy of the PATH instrument and (a) responded to questions rating PATH helpfulness at each stage of the illness trajectory and (b) provided open-ended feedback on the instrument. One hundred seventeen of the 124 participants reported the PATH instrument would be helpful across all stages of the illness trajectory. While there were no statistically significant differences across the illness phases, response trends indicated using the PATH instrument earlier in the illness trajectory would have been more helpful to them as caregivers. Qualitative thematic analysis feedback indicated the most significant gap caregivers faced was education on the effects of the illness and treatment. It is vitally important to prepare and support caregivers. A validated instrument can identify unmet needs and inform care decisions. Patient discharge plans should be guided by the needs and preferences of patients and caregivers. Identifying gaps in education and preparedness early in the illness trajectory may inform the care team of unmet needs, allowing them to tailor resources and support to improve outcomes for patients with GBM and their caregivers. Patient discharge plans should be guided by the needs and preferences of patients and caregivers. Identifying gaps in education and preparedness early in the illness trajectory may inform the care team of unmet needs, allowing them to tailor resources and support to improve outcomes for patients with GBM and their caregivers. PATH has the potential to inform healthcare professionals to develop customised care plans including education, resources and support for caregivers and patients with life-threatening illness. Study adheres to the STROBE reporting method. Prior to deploying the survey to study participants, in addition to testing by study collaborators (authors), the survey was tested and feedback was received from graduate students and from administrators of the private Facebook group where the survey was promoted to study participants.

Patients’ experiences of involvement at a clinical training ward: a qualitative interview study

ABSTRACT Interprofessional education aims to foster healthcare students’ ability to collaborate in interprofessional teams with the patients at the center of care as active participants. However, little is known about how patients experience this collaboration. Therefore, this study aimed to explore patients’ experiences of being involved in the interprofessional team of healthcare students at a clinical training ward in Sweden. A descriptive design with a qualitative approach was used. Data were collected through semi-structured individual interviews with 22 patients. Braun and Clarke’s reflexive thematic analysis was used. The main finding was that patients were only included as passive participants. Although most patients wanted to be involved, they were hindered due to their health condition or excluded from care planning and decision-making. The patients needed family members’ support to be involved. However, this need was not recognised by the interprofessional team of healthcare students. Patient involvement must be highlighted as an important component of interprofessional education initiatives. Further research is needed to explore family members’ perspectives on involvement in interprofessional training ward settings.

Natural language processing for healthcare: Applications, progress, and future directions

Natural Language Processing (NLP) is causing a significant change in the healthcare industry. This state-of-the-art technology is transforming the processing, analysis, and utilisation of healthcare data by improving patient care and clinical decision-making. This article aims to analyse the current and prospective uses of natural language processing (NLP) in the healthcare industry. We examine the tangible advancements that have been made and shed light on the bright prospects that lie ahead. The approach for early sickness diagnosis involves the use of advanced predictive analytics based on natural language processing (NLP). By analysing unstructured patient narratives, models may accurately identify potential health issues with exceptional precision, sometimes exceeding 90% accuracy. This article discusses the benefits of using voice recognition and chatbots, such as improved patient-provider communication and decreased administrative tasks. Systems powered by natural language processing have made significant advancements, as shown by statistical data indicating that they attain an accuracy rate of 80% or more on tasks like clinical text classification. Consequently, medical record review and data extraction have been automated, hence alleviating the burden on healthcare personnel. Hospitals may use sentiment analysis on online reviews to assess patient satisfaction levels and implement targeted improvements, therefore enhancing the overall patient experience. Undoubtedly, natural language processing (NLP) is revolutionizing the healthcare industry by enabling data-driven insights to optimise operations, personalize patient therapy, and enhance overall patient care quality. In order to fully harness the capabilities of natural language processing, we must address existing challenges and promote continuous research in areas such as deep learning and explainability. Only by doing so can we establish a healthcare system that is both more health-oriented and reliant on data.

General Population Mortality Adjustment in Survival Extrapolation of Cancer Trials: Exploring Plausibility and Implications for Cost-Effectiveness Analyses in HER2-Positive Breast Cancer in Sweden.

In economic evaluations of novel therapies, assessing lifetime effects based on trial data often necessitates survival extrapolation, with the choice of model affecting outcomes. The aim of this study was to assess accuracy and variability between alternative approaches to survival extrapolation. Data on HER2-positive breast cancer patients from the Swedish National Breast Cancer Register were used to fit standard parametric distribution (SPD) models and excess hazard (EH) models adjusting the survival projections based on general population mortality (GPM). Models were fitted using 6-y data for stage I and II, 4-y data for stage III, and 2-y data for stage IV cancer reflecting an early data cutoff while maintaining sufficient events for comparison of model estimates with actual long-term outcomes. We compared model projections of 15-y survival and restricted mean survival time (RMST) to 15-y registry data and explored the variability between models in extrapolations of long-term survival. Among 11,224 patients compared with the observed registry 15-y RMST estimates across the disease stages, EH cure models provided the most accurate estimates in patients with stage I to III cancer, whereas EH models without cure most closely matched survival in patients with stage IV cancer, in which cure assumption was less plausible. The Akaike information criterion-averaged model projections varied as follows: -8.2% to +5.3% for SPD models, -4.9% to +5.2% for the EH model without a cure assumption, and -19.3% to -0.2% for the EH model with a cure assumption. EH models significantly reduced between-model variance in the predicted RMSTs over a 50-y time horizon compared with SPD models. EH models may be considered as alternatives to SPD models to produce more accurate and plausible survival extrapolation that accounts for general population mortality. Excess hazard (EH) methods have been suggested as an approach to incorporate background mortality rates in economic evaluation using survival extrapolation.We highlight that EH models with or without a cure assumption can produce more accurate survival projections and significantly reduce between-model variability in comparison with standard parametric distribution models across cancer stages.EH models may be a preferred modeling method to reduce model uncertainty in health economic modeling since models that would otherwise have produced implausible extrapolations are constrained by the EH framework.Reduced uncertainty in economic evaluations will enhance the application of evidence-based health care decision making.