The Impact of Information Relevancy and Interactivity on Intensivists' Trust in a Machine Learning-Based Bacteremia Prediction System: Simulation Study.

Background: The exponential growth in computing power and the increasing digitization of information have substantially advanced the machine learning (ML) research field. However, ML algorithms are often considered "black boxes," and this fosters distrust. In medical domains, in which mistakes can result in fatal outcomes, practitioners may be especially reluctant to trust ML algorithms. Objective: The aim of this study is to explore the effect of user-interface design features on intensivists' trust in an ML-based clinical decision support system. Methods: A total of 47 physicians from critical care specialties were presented with 3 patient cases of bacteremia in the setting of an ML-based simulation system. Three conditions of the simulation were tested according to combinations of information relevancy and interactivity. Participants' trust in the system was assessed by their agreement with the system's prediction and a postexperiment questionnaire. Linear regression models were applied to measure the effects. Results: Participants' agreement with the system's prediction did not differ according to the experimental conditions. However, in the postexperiment questionnaire, higher information relevancy ratings and interactivity ratings were associated with higher perceived trust in the system (P<.001 for both). The explicit visual presentation of the features of the ML algorithm on the user interface resulted in lower trust among the participants (P=.05). Conclusions: Information relevancy and interactivity features should be considered in the design of the user interface of ML-based clinical decision support systems to enhance intensivists' trust. This study sheds light on the connection between information relevancy, interactivity, and trust in human-ML interaction, specifically in the intensive care unit environment.

Effectiveness of caring behaviours course on decision-making and caring behaviours in undergraduate nursing students: An experimental study.

BACKGROUND: Although caring is a core principle of the nursing profession, students often lack the knowledge, comprehension and ability to integrate care into all aspects of nursing practice. Students may have few opportunities to practise caring behaviours on patients who create the impression of providing care and elicit a feeling of receiving care. Studies of strategies to enhance caring behaviours in nursing education are limited. AIM: This experimental study aimed to examine the effect of nursing caring behaviours course based on interactive learning strategies on the caring behaviours and decision-making abilities of nursing students. METHODS: A purposive sample of 50 undergraduate students was recruited from a faculty of nursing. Students in the intervention group (n = 24) received 2 h of training per week for 14 weeks in accordance with caring behaviours course based on interactive learning strategies including discussion, brainstorming, concept mapping, reflection and simulation training. Nursing students in the control group (n = 26) received training according to other elective courses in the curriculum. Data were measured at the baseline time point, 7th week and 14th week with the Caring Behaviours Inventory and Nursing Decision-Making Instrument. Chi-square test, Mann-Whitney U-test, Friedman test and mixed repeated measures ANOVA were used to assess the data. RESULTS: No significant difference was determined in terms of baseline caring behaviours and decision-making scores between the intervention and control groups (p > 0.05). A significant difference in caring behaviours between the two groups and time effect was not found (p > 0.05). However, there was a significant interaction between time and groups (F = 3.484, p = 0.047). There was a significant increase in the decision-making in intervention groups over time (F = 9.372, p < 0.001) and interaction between time and groups (F = 4.160, p = 0.019). CONCLUSIONS: A deliberate strategy to raise students' awareness of caring behaviours and incorporate interactive learning methods into education enhances both caring behaviours and clinical decision-making.

Perceived Penalties for Sharing Patient Beliefs with Health Care Providers.

BACKGROUND: Health care interactions may require patients to share with a physician information they believe but is incorrect. While a key piece of physicians' work is educating their patients, people's concerns of being seen as uninformed or incompetent by physicians may lead them to think that sharing incorrect health beliefs comes with a penalty. We tested people's perceptions of patients who share incorrect information and how these perceptions vary by the reasonableness of the belief and its centrality to the patient's disease. DESIGN: We recruited 399 United States Prolific.co workers (357 retained after exclusions), 200 Prolific.co workers who reported having diabetes (139 after exclusions), and 244 primary care physicians (207 after exclusions). Participants read vignettes describing patients with type 2 diabetes sharing health beliefs that were central or peripheral to the management of diabetes. Beliefs included true and incorrect statements that were reasonable or unreasonable to believe. Participants rated how a doctor would perceive the patient, the patient's ability to manage their disease, and the patient's trust in doctors. RESULTS: Participants rated patients who shared more unreasonable beliefs more negatively. There was an extra penalty for incorrect statements central to the patient's diabetes management (sample 1). These results replicated for participants with type 2 diabetes (sample 2) and physician participants (sample 3). CONCLUSIONS: Participants believed that patients who share incorrect information with their physicians will be penalized for their honesty. Physicians need to be educated on patients' concerns so they can help patients disclose what may be most important for education. HIGHLIGHTS: Understanding how people think they will be perceived in a health care setting can help us understand what they may be wary to share with their physicians.People think that patients who share incorrect beliefs will be viewed negatively.Helping patients share incorrect beliefs can improve care.

Consent for interventions during childbirth: A national population-based study.

OBJECTIVE: To assess the frequency and determinants of medical interventions during childbirth without women's consent at the population level. METHODS: The nationwide cross-sectional Enquête Nationale Périnatale 2021 provided a representative sample of women who delivered in metropolitan France with a 2-month postpartum follow-up (n = 7394). Rates and 95% confidence intervals (CI) of interventions during childbirth (oxytocin administration, episiotomy or emergency cesarean section) without consent were calculated. Associations with maternal, obstetric, and organizational characteristics were assessed using robust variance Poisson regressions, after multiple imputation for missing covariates, and weighted to account for 2-month attrition. RESULTS: Women reporting failure to seek consent were 44.7% (CI: 42.6-47.0) for oxytocin administration, 60.2% (CI: 55.4-65.0) for episiotomy, and 36.6% (CI: 33.3-40.0) for emergency cesarean birth. Lack of consent for oxytocin was associated with maternal birth abroad (adjusted prevalence ratio [aPR] 1.20; 95% CI: 1.06-1.36), low education level, and increased cervical dilation at oxytocin initiation, whereas women with a birth plan reported less frequently lack of consent (aPR 0.79; 95% CI: 0.68-0.92). Delivery assisted by an obstetrician was more often associated with lack of consent for episiotomy (aPR 1.46; 95% CI: 1.11-1.94 for spontaneous delivery and aPR 1.39; 95% CI: 1.13-1.72 for instrumental delivery, reference: spontaneous delivery with a midwife). Cesarean for fetal distress was associated with failure to ask for consent for emergency cesarean delivery (aPR 1.58; 95% CI: 1.28-1.96). CONCLUSION: Women frequently reported that perinatal professionals failed to seek consent for interventions during childbirth. Reorganization of care, particularly in emergency contexts, training focusing on adequate communication and promotion of birth plans are necessary to improve women's involvement in decision making during childbirth.

Evaluation of psychosocial risks affecting academician using the sine trigonometric pythagorean fuzzy (ST-PFN) DEMATEL method.

BACKGROUND: In the realm of academia, psychosocial risk factors play a pivotal role, exerting considerable influence on the well-being and performance of scholars. Factors such as excessive workloads, unrelenting performance expectations, time constraints, and competitive atmospheres can detrimentally affect their health and overall quality of life. Moreover, issues like social isolation, work-life imbalance, and academic anxiety further compound these challenges, impeding academic progress and success. OBJECTIVE: Thus, it is imperative to identify, mitigate, and manage psychosocial risk factors effectively to foster a conducive academic environment conducive to productivity and achievement. METHODS: This study employs a novel approach, integrating expert opinions and utilizing sine trigonometry Pythagorean fuzzy numbers to ascertain the degrees of importance and rank psychosocial risk factors through the DEMATEL method. This methodology presents a unique contribution to existing literature, offering fresh insights into this critical area of study. RESULTS: Evaluation of 25 factors reveals burnout, job dissatisfaction, precarious working conditions, lack of trust, unfair treatment, job insecurity, and limited developmental opportunities as primary concerns, underscoring the multifaceted nature of these challenges. CONCLUSIONS: In the occupational sphere, active participation from all stakeholders in addressing psychosocial risks is paramount for effective problem resolution. It is incumbent upon parties involved to discharge their duties, foster collaboration, enhance working conditions, ensure equity, and facilitate avenues for professional growth. Each identified risk factor addressed and preempted translates into a tangible reduction in workplace accidents and occupational ailments, underscoring the tangible benefits of proactive risk management.

PSA screening for prostate cancer in the United States: 30 years of controversy.

In 1994, the United States approved the Prostate-Specific Antigen (PSA) test as a screening tool for prostate cancer. It did so despite the test's inherent weakness: not being prostate cancer specific. Subsequent randomized trials yielded conflicting results as to its benefits. Medical guideline organizations are concerned that PSA screening results in the diagnosis and treatment of clinically indolent prostate cancer. Nevertheless, PSA screening is prevalent in North America and Europe with PSA screening increasing in other regions. We provide a critical review of the major factors that led to the prevalence of PSA screening in the United States despite the debate about its benefits. Public advocacy in favor of the test and failure of the medical community to appreciate its inherent weakness led to widespread adoption. These factors persist today. Other countries need to carefully analyze the utility of the PSA test before adopting it.

Nothing to lose? Neural correlates of decision, anticipation, and feedback in the balloon analog risk task.

Understanding the subprocesses of risky decision making is a prerequisite for understanding (dys-)functional decisions. For the present fMRI study, we designed a novel variant of the balloon-analog-risk task (BART) that measures three phases: decision making, reward anticipation, and feedback processing. Twenty-nine healthy young adults completed the BART. We analyzed neural activity and functional connectivity. Parametric modulation allowed assessing changes in brain functioning depending on the riskiness of the decision. Our results confirm involvement of nucleus accumbens, insula, anterior cingulate cortex, and dorsolateral prefrontal cortex in all subprocesses of risky decision-making. In addition, subprocesses were differentiated by the strength of activation in these regions, as well as by changes in activity and nucleus accumbens-connectivity by the riskiness of the decision. The presented fMRI-BART variant allows distinguishing activity and connectivity during the subprocesses of risky decision making and shows how activation and connectivity patterns relate to the riskiness of the decision. Hence, it is a useful tool for unraveling impairments in subprocesses of risky decision making in people with high risk behavior.

Reducing Racial Disparities at End-of-life: Using Narratives to Build Trust and Promote advance Care Planning.

Black Americans are less likely than White Americans to have advance directives, die while receiving hospice services, or have their end-of life wishes honored. The root causes of disparities include imbalance of resources, lack of trust in health care institutions, lack of adequate education regarding end-of-life options, communication differences of health care providers with black vs white patients, variable access to hospice services in different communities, and poorer pain management for Black patients compared to White patients. Because root causes are numerous, comprehensive solutions are required. When advance care planning is in place, people are more likely to choose care focused on priorities and comfort than on seeking aggressive, sometimes futile, interventions in the last weeks of life. One important component of the solution should include listening to narrative stories of Black people as they encounter life-limiting diagnoses. Gathering the stories about life events and how strength was found through adversities can be a tool for growing trusting relationships and engaging in shared decision-making. Health care professionals should invite Black patients with serious illnesses to explore the sources of their strengths and identify their core values to work toward developing directives for the nature and place of their end-of-life and help to mitigate disparities in high quality end-of-life care.

The mediating effect of e-health literacy on social support and behavioral decision-making on glycemic management in pregnant women with gestational diabetes: a cross-sectional study.

Background: Social support and e-health literacy are closely related to individual health behaviors, while behavior is premised on decision-making. Few studies have identified the relationships among social support, e-health literacy, and behavioral decision-making, and the nature of these relationships among pregnant women with gestational diabetes remains unclear. Therefore, this study aimed to investigate relationships among social support, e-health literacy, and glycemic management behavioral decisions in pregnant women with gestational diabetes. Methods: Using continuous sampling, an online cross-sectional survey was conducted among pregnant women with gestational diabetes who met the inclusion and exclusion criteria at four Class 3 hospitals in Fujian Province from October to December 2023. A structured questionnaire was used to collect data on general characteristics, socioeconomic status, social support, e-health literacy, and behavioral decision-making regarding glycemic management. Descriptive statistical analyses, correlation analyses, and mediation effects were used to assess associations. Results: A total of 219 pregnant women with gestational diabetes participated, and 217 valid results were obtained. The level of glycemic management behavior decision-making in women with gestational diabetes was positively correlated with e-health literacy (r = 0.741, p < 0.01) and with perceived social support (r = 0.755, p < 0.01). E-health literacy was positively correlated with perceived social support (r = 0.694, p < 0.01). The indirect effect of perceived social support on glycemic management behavior decisions through e-health literacy (a*b) was 0.153, accounting for 38% of the total effect. Conclusion: Social support and e-health literacy in pregnant women with gestational diabetes are related to behavioral decision-making in glycemic management. The results of this study provide a reference for developing targeted measures to improve glycemic management behaviors in pregnant women with gestational diabetes, which is crucial for achieving sustainable glycemic management.

Ethical framework for FACILITATE: a foundation for the return of clinical trial data to participants.

This paper discusses the importance of return of clinical trial data to patients in the context of the FACILITATE project that aims to develop a participant-centric approach for the systematic return of individual clinical trial data. It reflects on the need for an ethical framework to support the return of clinical trial data. The discussion revolves around the developing FACILITATE ethical framework, specifically focusing on the ethical principles that form the foundation of the framework and guidance on how to implement those principles into practice.

Assessing the credibility of a drug's effects: identification and judgment of uncertainty by the Dutch Medicines Evaluation Board.

Medicine regulators need to judge whether a drug's favorable effects outweigh its unfavorable effects based on a dossier submitted by an applicant, such as a pharmaceutical company. Because scientific knowledge is inherently uncertain, regulators also need to judge the credibility of these effects by identifying and evaluating uncertainties. We performed an ethnographic study of assessment procedures at the Dutch Medicines Evaluation Board (MEB) and describe how regulators evaluate the credibility of an applicant's claims about the benefits and risks of a drug in practice. Our analysis shows that regulators use an investigative approach, which illustrates the effort required to identify uncertainties. Moreover, we show that regulators' expectations about the presentation, the design, and the results of studies can shape how they perceive a medicine's dossier. We highlight the importance of regulatory experience and expertise in the identification and evaluation of uncertainties. In light of our observations, we provide two recommendations to reduce avoidable uncertainty: less reliance on evidence generated by the applicant; and better communication about, and enforcement of, regulatory frameworks toward drug developers.

Patient autonomy and shared decision-making in the context of clinical trial participation.

AIMS: This study aimed to explore how incorporating shared decision-making (SDM) can address recruitment challenges in clinical trials. Specifically, it examines how SDM can align the trial process with patient preferences, enhance patient autonomy and increase active patient participation. Additionally, it identifies potential conflicts between SDM and certain clinical trial aspects, such as randomization or blinding, and proposes solutions to mitigate these issues. MATERIALS AND METHODS: We conducted a comprehensive review of existing literature on patient recruitment challenges in clinical trials and the role of SDM in addressing these challenges. We analysed case studies and trial reports to identify common obstacles and assess the effectiveness of SDM in improving patient accrual. Additionally, we evaluated three proposed solutions: adequate trial design, communication skill training and patient decision aids. RESULTS: Our review indicates that incorporating SDM can significantly enhance patient recruitment by promoting patient autonomy and engagement. SDM encourages physicians to adopt a more open and informative approach, which aligns the trial process with patient preferences and reduces psychological barriers such as fear and mental stress. However, implementing SDM can conflict with elements such as randomization and blinding, potentially complicating trial design and execution. DISCUSSION: The desire for patient autonomy and active engagement through SDM may clash with traditional clinical trial methodologies. To address these conflicts, we propose three solutions: redesigning trials to better accommodate SDM principles, providing communication skill training for physicians and developing patient decision aids. By focussing on patient wishes and emotions, these solutions can integrate SDM into clinical trials effectively. CONCLUSION: Shared decision-making provides a framework that can promote patient recruitment and trial participation by enhancing patient autonomy and engagement. With proper implementation of trial design modifications, communication skill training and patient decision aids, SDM can support rather than hinder clinical trial execution, ultimately contributing to the advancement of evidence-based medicine.

Shared decision-making in healthcare: development and assessment of the translated Finnish version of the SDM-Q-9.

AIMS: The aim of this study was to assess the cultural validity and reliability of a Finnish version of the nine-item Shared Decision-Making Questionnaire (SDM-Q-9) in a sample of patients with different sociodemographic characteristics. METHOD: The original SDM-Q-9 was translated into Finnish with the agreement of the developers of the original scale. The standardised translation procedure was followed by a pilot test of the questionnaire. The data were collected from an online questionnaire. Reliability was estimated by Cronbach's alpha. Structural validity of the questionnaire was assessed by confirmatory factor analysis. RESULTS: The pilot study assessing the cultural validity of the scale was a success, as it did not find any expressions needing to be revised. The Finnish version of the SDM-Q-9 - the SDM-Q-9-FIN - was tested in the study where a total of 736 patients responded to the questionnaire. The questionnaire yielded high reliability with a Cronbach's alpha of 0.92. Confirmatory factor analysis confirmed the unidimensional factor structure with Item 1 excluded. CONCLUSIONS: The SDM-Q-9-FIN was shown to be a reliable instrument for evaluating shared decision-making among Finnish patients. Further testing and research are recommended among a greater diversity of patient groups.

A Scoping Review of Patient-Centered Perinatal Contraceptive Counseling.

INTRODUCTION: Contraceptive counseling during the perinatal period is an important component of comprehensive perinatal care. We synthesized research about contraceptive counseling during the perinatal period, which has not previously been systematically compiled. METHODS: We developed search criteria to identify articles listed in PubMed, Embase, and Popline databases published between 1992 and July 2022 that address patients' preferences for, and experiences of, perinatal contraceptive counseling, as well as health outcomes associated with this counseling. Search results were independently reviewed by multiple reviewers to assess relevance for the present review. Methods were conducted in accordance with PRISMA guidelines. RESULTS: Thirty-four articles were included in the final full text review. Of the included articles, 10 included implementation and evaluation of a contraceptive counseling method or protocol, and 24 evaluated preferences for or experiences of existing contraceptive counseling in the perinatal period. Common themes included the acceptability of contraceptive counseling in the peripartum and postpartum periods, and a preference for contraceptive counseling at some point during the antenatal period and before the inpatient hospital experience, and direct provider-patient discussion instead of video or written material. Multiple studies suggest that timing, content, and modality should be individualized. In general, avoiding actual or perceived directiveness and providing multi-modal counseling that includes both written educational materials and patient-provider conversations was desired. DISCUSSION: The perinatal period constitutes a critical opportunity to provide contraceptive counseling that can support pregnant and postpartum people's management of their reproductive futures. The reviewed studies highlight the importance of patient-centered approach to providing this care, including flexibility of timing, content, and modality to accommodate individual preferences.

A self-reported symptom-based decision-making model helps to rule out outpatient cases at low risk for CRC before colonoscopy.

Objectives: Effective exclusion of low-risk symptomatic outpatient cases for colorectal cancer (CRC) remains diagnostic challenges. We aimed to develop a self-reported symptom-based decision-making model for application in outpatient scenarios. Methods: In total, 8233 symptomatic cases at risk for CRC, as judged by outpatient physicians, were involved in this study at seven medical centers. A decision-making model was constructed using 60 self-reported symptom parameters collected from the questionnaire. Further internal and external validation cohorts were built to evaluate the discriminatory power of the CRC model. The discriminatory power of the CRC model was assessed by the C-index and calibration plot. After that, the clinical utility and user experience of the CRC model were evaluated. Results: Nine symptom parameters were identified as valuable predictors used for modeling. Internal and external validation cohorts verified the adequate discriminatory power of the CRC model. In the clinical application step, all 17 physicians found the model easy to grasp, 99.9 % of the patients were satisfied with the survey form. Application of this model detected all CRC cases. The total consistency ratio of outpatient cases undergoing colonoscopy was 81.4 %. None of the low-risk patients defined by the CRC model had been diagnosed with CRC. Conclusion: This multicenter study developed and validated a simple and user-friendly decision-making model covering self-reported information. The CRC model has been demonstrated to perform well in terms of rapid outpatient decision-making scenarios and clinical utility, particularly because it can better rule out low-risk outpatient cases.

Sustainable resilient E-waste management in London: A circular economy perspective.

The circular economy (CE) is reasoned to organize complex systems supporting sustainable resilience by distinguishing between waste materials and economic growth. This is crucial to the electronic waste (e-waste) industry of developed countries, and e-waste operation management has become their top priority because e-waste contains toxic materials and valuable sources of elements. In the UK, although London Metropolitan city boasts an ambitious sustainable resilience target underlying the context of CE, practical implementation has yet to be feasible, with few investigations detailing if and how the existing target implications enable industrial and social-ecological sectors to continue their performance functionalities in the face of undesired disruptions. In this paper, a dynamic Bayesian Network (dynamic BN) approach is developed to address a range of potential risks. The existing London e-waste operation management is considered as an application of study for sustainable resilience development. Through the utilization of dynamic BN, a comprehensive analysis yields a Resilience Index (RI) of 0.5424, coupled with a StdDev of 0.01350. These metrics offer a profound insight into the intricate workings of a sustainable system and its capacity to swiftly rebound from unexpected shocks and disturbances. This newfound understanding equips policymakers with the knowledge needed to navigate the complexities of sustainable e-waste management effectively. The implications drawn from these in-depth analyses furnish policymakers with invaluable information, enabling them to make judicious decisions that advance the cause of sustainable e-waste management. The findings underscore that the absorptive capacity of a sustainable and resilient e-waste operation management system stands as the foremost defense mechanism against unforeseen challenges. Furthermore, it becomes evident that two pivotal factors, namely "diversifying the supply chain" and "enhancing supply chain transparency," play pivotal roles in augmenting the sustainability and resilience of e-waste operation management within the context of London's ambitious sustainability targets. These factors are instrumental in steering the trajectory of e-waste management towards a more sustainable and resilient future, aligning with London's aspirations for a greener and more eco-conscious future.

The Capacitated Maximal Covering Location Problem Improves Access to Stroke Treatment: A Cross-Sectional Simulation Study.

Disparities in accessing advanced stroke treatment have been recognized as a policy challenge in multiple countries, including Japan, necessitating priority solutions. Nevertheless, more practical healthcare policies must be implemented due to the limited availability of healthcare staff and financial resources in most nations. This study aimed to evaluate the supply and demand balance of mechanical thrombectomy (MT) and identify areas with high priority for enhancing stroke centers. The target area of this study was Hokkaido, Japan. We adopted the capacitated maximal covering location problem (CMCLP) to propose an optimal allocation without increasing the number of medical facilities. Four realistic scenarios with varying levels of total MT supply capacity for Primary stroke centers and assuming a range of 90 minutes by car from the center were created and simulated. From scenarios 1 to 4, the coverage increased by approximately 53% to 85%, scenarios 2 and 3 had 5% oversupply, and scenario 4 had an oversupply of approximately 20%. When the supply capacity cap was eliminated and 8 PSCs received 31 or more patients, they became priority enhancement targets. The CMCLP estimates demand coverage considering the supply and demand balance and indicates areas and facilities where MT supply capacity enhancement is a priority.

Perceptions of C-reactive Protein Measurement Among General Physicians: A Qualitative Study on Diagnostic Value, Clinical Dilemmas, and Professional Growth.

Introduction C-reactive protein (CRP) is a widely used laboratory test for assessing infections, inflammatory diseases, and malignancies, playing a critical role in clinical diagnosis and management. Despite its utility, CRP measurement practices vary among physicians, often influenced by training and clinical experience. This study explores general physicians' perceptions of CRP measurement in clinical practice, focusing on its diagnostic value, associated dilemmas, and impact on clinical growth and decision-making. Methods This qualitative study employed thematic analysis to examine the perceptions of general physicians at Unnan City Hospital, Unnan, Japan regarding CRP measurement. Sixteen general physicians were selected through purposive sampling and participated in one-on-one semi-structured interviews. The interviews were conducted in Japanese, recorded, transcribed verbatim, and analyzed inductively to identify themes. The analysis involved iterative coding and extensive discussion among the research team to ensure the reliability and validity of the findings. Results Three main themes emerged from the analysis: the usefulness of CRP for diagnosis and collaboration, dilemmas associated with CRP usage, and clinical growth through reconsideration of CRP's importance. Physicians highlighted CRP's value in distinguishing inflammatory from non-inflammatory diseases, predicting clinical courses, and facilitating communication with specialists. However, dilemmas arose from discrepancies between CRP levels and clinical symptoms, the influence of various non-specific factors, and habitual testing driven by training, leading to unnecessary tests and diminished clinical skills. Participants recognized the need to view CRP as one of many diagnostic tools, cultivate a habit of questioning its necessity, and reflect on its use to enhance clinical reasoning and professional growth. Conclusions CRP measurement is a valuable diagnostic tool, but effective use requires a balanced and critical approach. Discrepancies between CRP levels and clinical symptoms can lead to over-reliance on laboratory results and unnecessary testing. General physicians should integrate CRP within a broader diagnostic framework, combining it with patient history, physical examination, and other tests. Reflecting on the necessity and implications of CRP measurements can improve clinical reasoning and decision-making, ultimately enhancing patient care and resource management. Future research should explore similar perceptions in diverse healthcare settings and develop strategies to optimize CRP use in clinical practice.

Shared decision-making and disease management in advanced cancer and chronic kidney disease using patient-reported outcome dashboards.

OBJECTIVES: To assess the use of a co-designed patient-reported outcome (PRO) clinical dashboard and estimate its impact on shared decision-making (SDM) and symptomatology in adults with advanced cancer or chronic kidney disease (CKD). MATERIALS AND METHODS: We developed a clinical PRO dashboard within the Northwestern Medicine Patient-Reported Outcomes system, enhanced through co-design involving 20 diverse constituents. Using a single-group, pretest-posttest design, we evaluated the dashboard's use among patients with advanced cancer or CKD between June 2020 and January 2022. Eligible patients had a visit with a participating clinician, completed at least two dashboard-eligible visits, and consented to follow-up surveys. PROs were collected 72 h prior to visits, including measures for chronic condition management self-efficacy, health-related quality of life (PROMIS measures), and SDM (collaboRATE). Responses were integrated into the EHR dashboard and accessible to clinicians and patients. RESULTS: We recruited 157 participants: 66 with advanced cancer and 91 with CKD. There were significant improvements in SDM from baseline, as assessed by collaboRATE scores. The proportion of participants reporting the highest level of SDM on every collaboRATE item increased by 15 percentage points from baseline to 3 months, and 17 points between baseline and 6-month follow-up. Additionally, there was a clinically meaningful decrease in anxiety levels over study period (T-score baseline: 53; 3-month: 52; 6-month: 50; P < .001), with a standardized response mean (SRM) of -0.38 at 6 months. DISCUSSION: PRO clinical dashboards, developed and shared with patients, may enhance SDM and reduce anxiety among patients with advanced cancer and CKD.