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At least 19 recordsLinked to original sources
PubMed2025

Outcomes and effectiveness of decision aids for families affected by hereditary cancer syndromes: A scoping review.

PURPOSE: In the past 15 years, numerous decision aids (DAs) have been developed to assist families affected by hereditary cancer syndromes in decision-making for managing inheritance and cancer risk. We identified the range and characteristics of DAs, focusing on their development stage according to guideline recommendations, their outcomes, and effectiveness. METHODS: A comprehensive search was conducted in MEDLINE, EMBASE, Cochrane, CINAHL, and PsycINFO, along with manual searches. Eligible articles reported DAs for supporting families affected by hereditary cancer syndromes, published in English from inception to July 2024. Quality was assessed using the Mixed-Methods Appraisal Tool. RESULTS: From 15,066 records, 32 studies with a moderate risk of bias, reporting 23 unique DAs, were identified. Most DAs targeted women (69.6%) with hereditary breast and ovarian cancer syndrome (73.9%) in North America and Europe (81.3%), primarily supporting decisions on cancer risk-reduction strategies (56.5%) and genetic testing/counseling (47.8%). Only 4 DAs were consistent with guideline-recommended development process, including prototype development, alpha- and beta-testing. Development and alpha-testing outcomes included user experience, understandability, and psychological impact. Beta-testing evaluated decision-making capacity, quality of the decision-making process, psychological impact, and impact on decisions. DAs consistently improved decision-making capacity and quality of the decision-making process but showed variable effects on psychological outcomes and actual decision in risk management. CONCLUSION: DAs are underdeveloped for genetic, racial, or gender minorities, according to guideline-recommended development process. Future research should develop DAs for broader populations and clarify their effectiveness, particularly regarding psychological outcomes.

Humans↗
PubMed1977

Computer-aided medical decision making in radiotherapy.

Radiotherapy departments are becoming sophisticated in working with computers for isodose computations, treatment machine verifications and administrative and medical records. The next step lies in computer-assisted medical decision making. The logic for a patient's diagnostic work-up and treatment protocol can be stored in a computer. It can then be used as an aid in making the diagnosis, in prescribing the treatment and for quality control. For patients who fit established protocols the computer can select and list treatment using the logic of that protocol. Such a system has been implemented for the postoperative radiotherapy of breast cancer on a trial basis. Its potential usefulness is illustrated by results in 25 consecutive patients. Physician acceptance and costs of the program are under investigation.

Breast Neoplasms↗
PubMedDate not supplied

Biomechanical testing as an aid to decision making in low-back pain patients.

Frequently, the diagnosis of disease of the low back is a difficult matter due to the multitude of factors affecting the patient's symptoms. In this report an attempt is made to use biomechanical testing to objectify certain aspects of the diagnostic process. Our philosophy is that a biomechanical assessment is one of the disciplines that should be brought to bear on the low-back pain patient. A group of biomechanical tests has been developed by adding quantitative measurement techniques to certain standard clinical maneuvers: muscle testing, range of motion testing, and straight leg raising testing. Moire fringe topography is employed for studying posture. Results of application of these techniques to 117 patients and 10 controls indicate potential utility in the method for epidemiologic and clinical research.

Back Pain↗
PubMed1978

[Validation of paternity in a father-mother-child trio, by the use of genetic markers. Description of a program to aid in the decision. Determination of the optimal sequence of examinations].

The knowledge of human polymorphism provides aid to the decision for the diagnosis parenthood. This work gives an algorithm of paternity diagnosis on a (presumed father, mother, child) triplet: the program verifies the logical relationships and calculates several indices used to estimate the likelihood of non-exclusion. We propose to attach greater importance to a neglected index: the percentage of subjects for which the paternity is excluded for the doublet (Mother, Child). Finally, we determine the most efficient and most economical sequence for the sequential use of genetic markers.

Alleles↗
PubMed1979

Evaluating the performance of a computer-based consultant.

The performance of a computer-based clinical consultation system is evaluated. The program, called MYCIN, is designed to function as an aid for infectious disease diagnosis and therapy selection, with an initial emphasis on bacteremias. The evaluation methodology is discussed, as well as the difficulties encountered in attempting to evaluate clinical judgments. Specialists in infectious diseases judged MYCIN's final therapy recommedation, and intermediate conclusions about the significance of the infection and identity of infecting organisms. The evaluation techniques described may be useful in assessing the performance of other clinical decision aids. Results of the evaluation show that the program's therapy recommedations meet Stanford experts' standards of acceptable practice 90.9% of the time (table 2), with some variation noted both among individual experts and between Stanford experts and others (tables 1, 2).

Animals↗
PubMed2026

Perspectives of participating neurologists and study nurses - Mixed-methods process evaluation of a web-based program for relapse management in multiple sclerosis (POWER@M2).

BACKGROUND: Relapsing-remitting multiple sclerosis is a chronic inflammatory disease of the central nervous system and the leading cause of disability in young adults. In Germany, 90% of relapses are treated with high-dose intravenous glucocorticoids, despite limited evidence for long-term benefit and international preference for oral administration. Time constraints often hinder informed decision-making. The multicentre Randomized Controlled Trial (RCT) POWER@MS2 (N = 160, 2020-2023), conducted at 18 German MS-centres, aimed to promote self-determined relapse management through a complex intervention (dialogue-based decision aid, nurse-led webinar, online-chat). OBJECTIVE: While RCTs demonstrate effectiveness, process evaluations are essential to understand implementation, mechanisms of impact and contextual factors. This study explored healthcare professionals' experiences and attitudes toward implementing relapse self-management and self-medication in clinical practice. METHODS: A mixed-methods process evaluation followed the UK Medical Research Council- framework. Quantitative data were collected via validated questionnaires at up to three time points and analysed descriptively. Interview guides were developed based on these results. Qualitative data from neurologist and study nurse interviews were thematically analysed. Results were triangulated using a joint display. RESULTS: Data were collected from 55 neurologists and 17 study nurses (quantitative) and from 7 neurologists and 4 nurses (qualitative) (2020-2024). Most neurologists opposed routine steroid use, reserving it for severe relapses. Some voiced concerns about self-management, but informed patients were generally viewed as capable of safe self-medication. Study nurses gave mixed feedback on the intervention, citing overload and improved guidance. CONCLUSION: Clinicians showed openness toward implementing the intervention. Enhancing accessibility and addressing specific concerns may support broader adoption.

Humans↗
PubMed2026

H&E to recurrence score: A step forward, but not yet a substitute for genomic testing.

Shamai and colleagues developed a multimodal deep-learning model that predicts Oncotype DX recurrence scores from routine H&E slides and clinicopathological variables in hormone receptor‑positive, HER2‑negative early breast cancer. Validated across the TAILORx trial and six external cohorts (over 5000 patients), the model achieved an AUC of 0.898 for identifying recurrence score ≥26 and recapitulated genomic assay patterns of chemotherapy benefit. Notably, 31% of clinically high-risk postmenopausal women were downgraded to low risk by AI, suggesting potential to reduce overtreatment. However, several limitations preclude immediate clinical substitution for genomic testing. First, intratumoural heterogeneity leads to discordant predictions with unclear management guidance. Second, the model's chemotherapy benefit estimates rely on TAILORx's age-based menopausal surrogates, which may not reflect real-world hormonal status or LHRH agonist use. Third, predictive value in node-positive disease remains untested in randomised datasets such as RxPONDER. Additionally, calibration uncertainty near risk thresholds and global scalability issues (including IHC requirements and digital pathology infrastructure) persist. While this represents a landmark step toward democratising precision oncology, the AI tool should currently serve as a complementary decision aid, with genomic testing remaining the gold standard for intermediate, borderline, or discordant cases.

Breast cancer↗
PubMed2025

Viral viability markers of SARS-CoV-2: a comparison of cell culture, genomic RNA RT-PCR, and subgenomic RNA RT-PCR.

UNLABELLED: Accurate methods to assess viral viability are crucial for determining isolation duration and antiviral therapy in immunocompromised patients. Although cell culture (CC) is the gold standard, it has limitations. Cycle threshold (Ct) values from genomic RNA (gRNA) RT-PCR and subgenomic RNA (sgRNA) RT-PCR have been proposed as markers of active viral replication. This study evaluated the correlation between CC, gRNA Ct values, and sgRNA to identify the best viral viability marker. This study aimed to evaluate the correlation between CC, gRNA Ct values, and sgRNA to identify the best viral viability marker. We conducted a prospective study on immunocompromised patients with suspected SARS-CoV-2 infection at a tertiary hospital (May 2021 to May 2023). Nasopharyngeal swabs were inoculated into Vero E6 cells and tested for gRNA using RT-PCR (Cobas 6800, Roche) and for sgRNA (non-commercial RT-PCR). The sensitivity (S), specificity (SP), positive (PPV) and negative predictive value (NPV), and accuracy were calculated using CC as the gold standard. Among 285 samples from 108 patients, gRNA RT-PCR had high S and NPV (1.0) but low SP (0.24) and moderate PPV (0.63). Ct analysis improved performance in extreme but not intermediate values. A Ct ≤ 30 maximized S but had low SP; Ct ≤ 25 yielded S (0.88), SP (0.89), PPV (0.92), NPV (0.84), and accuracy (0.88); sgRNA showed the highest S (0.99), SP (0.96), PPV (0.97), NPV (0.99), and accuracy (0.98). sgRNA detection is the best marker for identifying viable SARS-CoV-2, aiding decisions on isolation, antiviral treatment, or delaying chemotherapy in immunocompromised patients. IMPORTANCE: Identifying whether a patient still has contagious SARS-CoV-2 is essential for managing isolation, antiviral treatment, and other clinical decisions-especially in immunocompromised individuals. While viral culture is the gold standard for confirming viral viability, it is slow, expensive, and not widely available. Many hospitals rely on RT-PCR tests, but these detect viral genetic material whether or not the virus is still active. This study shows that detecting subgenomic RNA (sgRNA), a molecule only present when the virus is actively replicating, is a highly accurate way, a molecule only present when the virus is actively replicating, is a highly accurate way to determine whether the virus is still viable. Compared to standard PCR or viral culture, sgRNA testing better predicts who is truly infectious. These findings support sgRNA as a useful tool to guide clinical management and infection control in vulnerable patients.

Humans↗
PubMed1978

Videotape aids informed consent decision.

Obtaining informed consent for clinical investigations represents a major legal, ethical, and moral consideration in human experimentation. Mechanisms for informing the patient vary widely, and usually no system exists to confirm the degree of information retained by the patient. A Veterans Administration Cooperative Study, begun in 1975, has used a videotape information package in addition to a standard written consent form to ensure uniformity. Each presentation was followed by a questionnaire to assess the amount of material learned before attempting randomization. Repeated showings were occasionally necessary and did not affect the rate of randomization. A videotape presentation, especially in cooperative studies, ensures uniformity, makes allowance for varying educational levels of patients, and provides documentation of the degree of informed consent.

Audiovisual Aids↗
PubMed1978

[A ranking scale of the susceptibility to loss of various types of teeth as an additional aid to the decision for the extraction of permanent teeth in orthodontic treatments].

A statistically established rank scale of the predisposition to decay of the different types of teeth permits to evaluate more exactly the sacrifice of masticatory units in orthodontically indicated tooth extraction. Thus, in case of doubt, it gives additional advice on the choice of the teeth to be removed.

Child↗
PubMed2026

Views and Experiences of People With Dementia, Informal Caregivers and Professionals on Eating and Drinking Difficulties: A Qualitative Systematic Review.

AIM: This study aims to explore the views and experiences of people with dementia, informal caregivers and professionals regarding eating and drinking difficulties. DESIGN: A qualitative systematic review was conducted. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines were used to conduct this systematic review. The quality of the included studies was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research, and the data were thematically synthesised using Thomas and Harden's three-stage method. DATA SOURCES: Six electronic databases (PubMed, EMBASE, Cochrane Library, Web of Science, CINAHL and PsycINFO) were searched from their respective inception dates to August 2025 to identify relevant studies. RESULTS: Thematic analysis of the 16 included studies identified four key themes: (1) Physiological and psychological changes in people with dementia and caregivers; (2) factors influencing eating and drinking in people with dementia; (3) needs and recommendations for people with dementia, informal caregivers and professionals; (4) selection of eating methods for end-stage people with dementia. CONCLUSIONS: Eating and drinking difficulties affect the well-being of both patients and caregivers. A good dining environment improves mealtime pleasure but demands caregivers' time and energy. All parties emphasised the importance of effective communication. In end-stage dementia, professional assistance is crucial for enteral nutrition decisions. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Collaboration among patients, caregivers and professionals is vital for creating tailored nutritional plans and improving mealtime environments, thereby enhancing nutritional intake. In advanced dementia, providers must provide balanced information on comfort feeding versus enteral nutrition to aid decision-making. IMPACT: What problems were addressed in this study? This study addressed the lack of a consolidated, tri-perspective understanding of eating and drinking difficulties in dementia care settings. What are the main findings? Four key themes were identified: physiological and psychological changes, influencing factors, stakeholder needs and end-of-life decision-making. Where and on whom will the research have an impact? This will impact care practices for people with dementia and inform the training and support of informal caregivers and healthcare professionals.

Humans↗
PubMed2026

Pilot Evaluation of a Digital Pretest Education Platform for Genomic Counseling: Perspectives of Health Care Providers and Patients.

Traditional in-person consultations for genetic services create access barriers. We hypothesized that the Genetics Adviser platform-a web-based digital platform delivering clinical genomic services-could reduce these barriers. Focusing on pretest education and counseling, we tested a pilot version of the platform in medical genetics and pediatric endocrinology group practices. The multimethod design consisted of quantitative patient and caregiver surveys, Google Analytics data, and qualitative healthcare provider interviews. Surveys included validated measures of acceptability and empowerment. Transcribed interviews were thematically coded and analyzed using NVivo. Of the 102 patients and caregivers targeted for this study, 85/102 (83%) accessed the platform, 71/102 (70%) proceeded beyond the landing page, and 60/102 (59%) completed the post-module survey. Users expressed high confidence in genetic understanding and empowerment (Genomics Outcome Scale [GOS]: 77/100), and providers noted potential benefits and highlighted technological and content-related limitations. Further research is needed to validate effectiveness across diverse populations and to evaluate long-term impacts on patient outcomes and healthcare efficiency.

Humans↗
PubMed2026

Development and validation of a comprehensive prognostic model for 28-day ICU mortality in non-traumatic subarachnoid hemorrhage: an analysis based on the MIMIC-IV database.

BACKGROUND: Due to the complex pathophysiology of non-traumatic subarachnoid hemorrhage (SAH), accurate risk prediction remains a challenge. Our aim is to develop and validate a comprehensive prognostic model that integrates demographic characteristics, vital signs, laboratory parameters, and more, to provide clinical decision-making support in real-world practice. METHODS: We conducted a retrospective cohort study of 785 Non-traumatic subarachnoid hemorrhage patients. The cohort was randomly divided into a training set (n = 549) and a validation set (n = 236). Feature selection was performed using LASSO regression, followed by backward stepwise Cox regression for optimization. A nomogram was constructed based on independent predictive factors, and model performance was assessed using discrimination, calibration, and decision curve analysis. To prevent immortal-time bias, all predictors were anchored to a fixed early (first-24-hour) measurement window, treatment variables were modelled as binary indicators rather than cumulative exposures, and a five-model sensitivity analysis with baseline-severity adjustment was performed. RESULTS: The development of our model followed a systematic approach: first, 15 potential predictive factors were selected via LASSO regression, which were then refined to 12 independent predictors using backward stepwise Cox regression. The final predictive factors included: Ventilation, AHT, Nimodipine 60 mg, Age, SAPS.II, Input amount, Calcium total, Platelet count, White blood cells, Anion gap, pH, and Chloride. The integrated model demonstrated excellent predictive ability for 7-day, 14-day, and 21-day mortality in both the training set (AUC: 0.972, 0.934, 0.898) and the validation set (AUC: 0.968, 0.948, 0.911). Calibration curves and decision curve analysis confirmed the model's reliability and clinical utility across different time points. We constructed a nomogram for individualized risk prediction. Univariate Kaplan-Meier survival analysis demonstrated significant stratification of survival outcomes by each predictor, while restricted cubic spline analysis revealed non-linear relationships between continuous variables and mortality risk. Random survival forest analysis identified the top three predictive factors (Nimodipine 60 mg, Ventilation, AHT) and compared them with our full 12-variable model, confirming superior performance of the integrated model at all time points. At the 28-day primary endpoint, the model achieved a time-dependent AUC of 0.898 (training) and 0.904 (validation); after restricting predictors to the early baseline window, the leakage-controlled model retained good discrimination (validation C-index 0.803). CONCLUSIONS: Our ICU 28-day mortality prognosis model demonstrated robust performance in predicting ICU 28-day mortality in non-traumatic subarachnoid hemorrhage. The model, through the nomogram, provides individualized risk assessment, aiding clinical decision-making and patient stratification.

Humans↗
PubMed1977

Cost-benefit analysis and the evaluation of psychiatric services.

The paper sets out a method for evaluating changes in psychiatric services in a cost-benefit framework. The first section of the paper analyses some of the problems which arise with those elements which can be measured in monetary terms--the 'hard' costs and benefits. The second section looks at a method of presenting the less tangible effects--the 'soft' costs and benefits. Finally, it is suggested how these can be brought together to aid rational decision-making.

Community Mental Health Services↗