Assessment of the contribution of the IHC4+C score to decision making in clinical practice in early breast cancer.
Ontology highlight
ABSTRACT:
SUBMITTER: Barton S
PROVIDER: S-EPMC3364112 | biostudies-other | 2012 May
REPOSITORIES: biostudies-other
Similar Datasets
Project description:BackgroundShared decision-making (SDM) is a collaborative process whereby patients and clinicians jointly deliberate on the best treatment option that takes into account patients' preferences and values. In breast cancer care, different treatment options have become available to patients in the last decade. Various interventions, including patient decision aids (PtDAs), have been designed to promote SDM in this disease area. This study aimed at investigating the factors that influence the successful adoption and implementation of SDM interventions in real-world healthcare delivery settings.MethodsA scoping review of scientific and grey literature was conducted for the period 2006-2021 to analyse the support for SDM interventions and their adoption in breast cancer clinical practice. The interpretation of findings was based on the Practical, Robust Implementation and Sustainability Model (PRISM) for integrating research findings into practice.ResultsOverall, 19 studies were included for data synthesis, with more than 70% published since 2017. The availability of SDM tools does not automatically translate into their actual use in clinical settings. Factors related to users' co-creation, the clinical team's attitude and knowledge, organisational support and regulatory provisions facilitate the adoption of SDM interventions. However, overlooking aspects such as the re-organisation of care pathways, patient characteristics, and assigning of resources (human, financial, and facilities) can hinder implementation efforts.ConclusionsCompared to the mounting evidence on the efficacy of SDM interventions, knowledge to support their sustained implementation in daily care is still limited, albeit results show an increasing interest in strategies that facilitate their uptake in breast cancer care over time. These findings highlight different strategies that can be used to embed SDM interventions in clinical practice. Future work should investigate which approaches are more effective in light of organisational conditions and external factors, including an evaluation of costs and healthcare system settings.
| S-EPMC10463920 | biostudies-literature
Project description:Importance: Early mobilization, out-of-bed activity, is a component of acute stroke unit care; however, stroke patient heterogeneity requires complex decision-making. Clinically credible and applicable CPGs are needed to support and optimize the delivery of care. In this study, we are specifically exploring the role of clinical practice guidelines to support individual patient-level decision-making by stroke clinicians about early mobilization post-stroke. Methods: Our study uses a novel, two-pronged approach. (1) A review of CPGs containing recommendations for early mobilization practices published after 2015 was appraised using purposely selected items from the Appraisal of Guidelines Research and Evaluation-Recommendations Excellence (AGREE-REX) tool relevant to decision-making for clinicians. (2) A cross-sectional study involving semi-structured interviews with Australian expert stroke clinicians representing content experts and CPG target users. Every CPG was independently assessed against the AGREE-REX standard by two reviewers. Expert stroke clinicians, invited via email, were recruited between June 2019 to March 2020.The main outcomes from the review was the proportion of criteria addressed for each AGREE-REX item by individual and all CPG(s). The main cross-sectional outcomes were the distributions of stroke clinicians' responses about the utility of CPGs, specific areas of uncertainty in early mobilization decision-making, and suggested parameters for inclusion in future early mobilization CPGs. Results: In 18 identified CPGs, many did not adequately address the "Evidence" and "Applicability to Patients" AGREE-REX items. Out of 30 expert stroke clinicians (11 physicians [37%], 11 physiotherapists [37%], 8 nurses [26%]; median [IQR] years of experience, 14 [10-25]), 47% found current CPGs "too broad or vague," while 40% rely on individual clinical judgement and interpretation of the evidence to select an evidence-based choice of action. The areas of uncertainty in decision-making revealed four key suggestions: (1) more granular descriptions of patient and stroke characteristics for appropriate tailoring of decisions, (2) clear statements about when clinical flexibility is appropriate, (3) detailed description of the intervention dose, and (4) physical assessment criteria including safety parameters. Conclusions: The lack of specificity, clinical applicability, and adaptability of current CPGs to effectively respond to the heterogeneous clinical stroke context has provided a clear direction for improvement.
| S-EPMC7901923 | biostudies-literature
Project description:Practice variation in breast cancer surgery has raised concerns about the quality of treatment decisions. We sought to evaluate the quality of decisions about surgery for early-stage breast cancer by measuring patient knowledge, concordance between goals and treatments, and involvement in decisions.A mailed survey of stage I/II breast cancer survivors was conducted at 4 sites. The Decision Quality Instrument measured knowledge, goals, and involvement in decisions. A multivariable logistic regression model of treatment was developed. The model-predicted probability of mastectomy was compared with treatment received for each patient. Concordance was defined as having mastectomy and predicted probability >0.5 or partial mastectomy and predicted probability <0.5. Frequency of discussion about partial mastectomy was compared with discussion about mastectomy using chi-square tests.Four hundred and forty patients participated (59% response rate). Mean overall knowledge was 52.7%; 45.9% knew that local recurrence risk is higher after breast conservation and 55.7% knew that survival is equivalent for the 2 options. Most participants (89.0%) had treatment concordant with their goals. Participants preferring mastectomy had lower concordance (80.5%) than those preferring partial mastectomy (92.6%; p = 0.001). Participants reported more frequent discussion of partial mastectomy and its advantages than of mastectomy, and 48.6% reported being asked their preference.Breast cancer survivors had major knowledge deficits, and those preferring mastectomy were less likely to have treatment concordant with goals. Patients perceived that discussions focused on partial mastectomy, and many were not asked their preference. Improvements in the quality of decisions about breast cancer surgery are needed.
| S-EPMC3256735 | biostudies-literature
Project description:Purpose This study was conducted to determine the effect of iCanDecide, an interactive and tailored breast cancer treatment decision tool, on the rate of high-quality patient decisions-both informed and values concordant-regarding locoregional breast cancer treatment and on patient appraisal of decision making. Methods We conducted a randomized clinical trial of newly diagnosed patients with early-stage breast cancer making locoregional treatment decisions. From 22 surgical practices, 537 patients were recruited and randomly assigned online to the iCanDecide interactive and tailored Web site (intervention) or the iCanDecide static Web site (control). Participants completed a baseline survey and were mailed a follow-up survey 4 to 5 weeks after enrollment to assess the primary outcome of a high-quality decision, which consisted of two components, high knowledge and values-concordant treatment, and secondary outcomes (decision preparation, deliberation, and subjective decision quality). Results Patients in the intervention arm had higher odds of making a high-quality decision than did those in the control arm (odds ratio, 2.00; 95% CI, 1.37 to 2.92; P = .0004), which was driven primarily by differences in the rates of high knowledge between groups. The majority of patients in both arms made values-concordant treatment decisions (78.6% in the intervention arm and 81.4% in the control arm). More patients in the intervention arm had high decision preparation (estimate, 0.18; 95% CI, 0.02 to 0.34; P = .027), but there were no significant differences in the other decision appraisal outcomes. The effect of the intervention was similar for women who were leaning strongly toward a treatment option at enrollment compared with those who were not. Conclusion The tailored and interactive iCanDecide Web site, which focused on knowledge building and values clarification, positively affected high-quality decisions largely by improving knowledge compared with static online information. To be effective, future patient-facing decision tools should be integrated into the clinical workflow to improve decision making.
| S-EPMC5946719 | biostudies-literature
Project description:Background and objectivesLung Ultrasound Score (LUS) identifies and monitors pneumonia by assigning increasing scores. However, it does not include parameters, such as inferior vena cava (IVC) diameter and index of collapse, diaphragmatic excursions and search for pleural and pericardial effusions. Therefore, we propose a new improved scoring system, termed "integrated" lung ultrasound score (i-LUS) which incorporates previously mentioned parameters that can help in prediction of disease severity and survival, choice of oxygenation mode/ventilation and assignment to subsequent areas of care in patients with COVID-19 pneumonia.MethodsUpon admission at the sub-intensive section of the emergency medical department (SEMD), 143 consecutively examined COVID-19 patients underwent i-LUS together with all other routine analysis. A database for anamnestic information, laboratory data, gas analysis and i-LUS parameters was created and analyzed.ResultsOf 143 enrolled patients, 59.4% were male (mean age 71 years) and 40.6% female. (mean age 79 years: p = 0.005). Patients that survived at 1 month had i-LUS score of 16, which was lower than that of non-survivors (median 20; p = 0.005). Survivors had a higher PaO2/FiO2 (median 321.5) compared to non-survivors (median 229, p < 0.001). There was a correlation between i-LUS and PaO2/FiO2 ratio (rho:-0.4452; p < 0.001), PaO2/FiO2 and survival status (rho:-0.3452; p < 0.001), as well as i-LUS score and disease outcome (rho:0.24; p = 0.005). In non-survivors, the serum values of different significant COVID indicators were severely expressed. The i-LUS score was higher (median 20) in patients who required non-invasive ventilation (NIV) than in those treated only by oxygen therapy (median 15.42; p = 0.003). The odds ratio for death outcome was 1.08 (confidence interval 1.02-1.15) for each point increased. At 1-month follow-up, 65 patients (45.5%) died and 78 (54.5%) survived. Patients admitted to the high critical ward had higher i-LUS score than those admitted to the low critical one (p < 0.003).Conclusionsi-LUS could be used as a helpful clinical tool for early decision-making in patients with COVID-19 pneumonia.
| S-EPMC9156837 | biostudies-literature
Project description:BackgroundWhile shared decision making (SDM) and adherence to clinical practice guidelines (CPGs) are important, some believe they are incompatible. This study explored the mutual influence between physicians' intention to engage in SDM and their intention to follow CPGs.MethodsEmbedded within a clustered randomized trial to assess the impact of training physicians in SDM about using antibiotics to treat acute respiratory tract infections, this study evaluated physicians' intentions to both engage in SDM and follow CPGs. A self-administered questionnaire based on the theory of planned behavior evaluated both behavioral intentions and their respective determinants (attitude, subjective norm and perceived behavioral control) at study entry and exit. We used path analysis to explore the relationships between the intentions. We conducted statistical analyses using the maximum likelihood method and the variance-covariance matrix. Goodness of fit indices encompassed the chi-square statistic, the comparative fit index and the root mean square error of approximation.ResultsWe analyzed 244 responses at entry and 236 at exit. In the control group, at entry we observed that physicians' intention to engage in SDM (r?=?0, t?=?0.03) did not affect their intention to follow CPGs; however, their intention to follow CPGs (r?=?-0.31 t?=?-2.82) did negatively influence their intention to engage in SDM. At exit, neither behavioral intention influenced the other. In the experimental group, at entry neither behavioral intention influenced the other; at exit, the intention to engage in SDM still did not influence the intention to use CPGs, although the intention to follow CPGs (r?=?-0.15 t?=?-2.02) slightly negatively influenced the intention to engage in SDM, but this was not clinically significant.ConclusionPhysicians' intention to engage in SDM does not affect their intention to adopt CPGs even after SDM training. Physicians' intention to adopt CPGs had no clinically significant influence on intention to engage in SDM.Trial registrationClinicalTrials.gov NCT01116076.
| S-EPMC3634782 | biostudies-literature
Project description:BackgroundGenomic tests may improve upon clinical risk estimation with traditional prognostic factors. We aimed to explore how evidence on the prognostic strength of a genomic signature (clinical validity) can contribute to individualized decision making on starting chemotherapy for women with breast cancer (clinical utility).MethodsThe MINDACT trial was a randomized trial that enrolled 6693 women with early-stage breast cancer. A 70-gene signature (Mammaprint) was used to estimate genomic risk, and clinical risk was estimated by a dichotomized version of the Adjuvant!Online risk calculator. Women with discordant risk results were randomized to the use of chemotherapy. We simulated the full risk distribution of these women and estimated individual benefit, assuming a constant relative effect of chemotherapy.ResultsThe trial showed a prognostic effect of the genomic signature (adjusted hazard ratio 2.4). A decision-analytic modeling approach identified far fewer women as candidates for genetic testing (4% rather than 50%) and fewer benefiting from chemotherapy (3% rather than 27%) as compared with the MINDACT trial report. The selection of women benefitting from genetic testing and chemotherapy depended strongly on the required benefit from treatment and the assumed therapeutic effect of chemotherapy.ConclusionsA high-quality pragmatic trial was insufficient to directly inform clinical practice on the utility of a genomic test for individual women. The indication for genomic testing may be far more limited than suggested by the MINDACT trial.
| S-EPMC7985855 | biostudies-literature
Project description:Despite copious research and clear policies in many healthcare systems, evidence based practice has yet to be widely adopted. Part of the problem is insufficient consideration of the patient-clinician consultation, which lies at the heart of clinical practice and is where most decisions are made. Shared decision making (SDM)-the interactive process in which patients and clinicians decide on healthcare together-capitalises on the consultation to better translate the best evidence into clinical decisions while taking the patient's values and preferences into account. This paper takes stock of interventions that seek to embed SDM in clinical practice, such as patient decision aids that target both patients and clinicians. It also presents challenges that remain: among others, the paucity of evidence on effective implementation strategies and the lack of consideration of how SDM works when care is delivered by interprofessional teams. The paper then reviews current initiatives to improve and disseminate SDM across the healthcare continuum, and discusses why SDM should be encouraged as a means to leverage evidence based practice. The evidence suggests that finding ways to overcome the challenges and promote SDM will accelerate the uptake of evidence in gastroenterology and hepatology clinical practice.
| S-EPMC5517219 | biostudies-other
Project description:Extended adjuvant endocrine therapy (10 vs. 5 years) trials have demonstrated improved outcomes in early-stage estrogen receptor (ER)-positive breast cancer; however, the absolute benefit is modest, and toxicity and tolerability challenges remain. Predictive and prognostic information from genomic analysis may help inform this clinical decision. The purpose of this study was to assess the impact of the Breast Cancer Index (BCI) on physician recommendations for extended endocrine therapy and on patient anxiety and decision conflict. Patients with stage I-III, ER-positive breast cancer who completed at least 3.5 years of adjuvant endocrine therapy were offered participation. Genomic classification with BCI was performed on archived tumor tissues and the results were reported to the treating physician who discussed results with the patient. Patients and physicians completed pre- and post-test questionnaires regarding preferences for extended endocrine therapy. Patients also completed the validated traditional Decisional Conflict Scale (DCS) and State Trait Anxiety Inventory forms (STAI-Y1) pre- and post-test. 96 patients were enrolled at the Yale Cancer Center [median age 60.5 years (range 45-87), 79% postmenopausal, 60% stage I). BCI predicted a low risk of late recurrence in 59% of patients versus intermediate/high in 24 and 17%, respectively. Physician recommendations for extended endocrine therapy changed for 26% of patients after considering BCI results, with a net decrease in recommendations for extended endocrine therapy from 74 to 54%. After testing, fewer patients wanted to continue extended therapy and decision conflict and anxiety also decreased. Mean STAI and DCS scores were 31.3 versus 29.1 (p = 0.031) and 20.9 versus 10.8 (p < 0.001) pre- and post-test, respectively. Incorporation of BCI into risk/benefit discussions regarding extended endocrine therapy resulted in changes in treatment recommendations and improved patient satisfaction.
| S-EPMC4661200 | biostudies-literature
Project description:New evidence is available regarding the utility of the 21-gene recurrence score assay in guiding chemotherapy use for node-negative, estrogen receptor-positive breast cancer. We applied this evidence in a decision-analytic model to re-evaluate the cost-effectiveness of the assay.We cross-classified patients by clinicopathologic characteristics from the Adjuvant! risk index and by recurrence score risk group. For non-recurrence score-guided treatment, we assumed patients receiving hormonal therapy alone had low-risk characteristics and patients receiving chemotherapy and hormonal therapy had higher-risk characteristics. For recurrence score-guided treatment, we assigned chemotherapy probabilities conditional on recurrence score risk group and clinicopathologic characteristics.An estimated 40.4% of patients in the recurrence score-guided strategy and 47.3% in the non-recurrence score-guided strategy were expected to receive chemotherapy. The incremental gain in quality-adjusted life-years was 0.16 (95% confidence interval, 0.08-0.28) with the recurrence score-guided strategy. Lifetime medical costs to the health system were $2,692 ($1,546-$3,821) higher with the recurrence score-guided strategy, for an incremental cost-effectiveness ratio of $16,677/quality-adjusted life-year ($7,613-$37,219). From a societal perspective, the incremental cost-effectiveness was $10,788/quality-adjusted life-year ($6,840-$30,265).The findings provide supportive evidence for the economic value of the 21-gene recurrence score assay in node-negative, estrogen receptor-positive breast cancer.
| S-EPMC3743447 | biostudies-literature