BACKGROUND: Recent studies revealed an elevated likelihood of unintended pregnancies among women with psychiatric disorders compared to their counterparts without such vulnerability. Despite the importance of understanding family planning decision-making in this group, qualitative inquiries are lacking. This study explored family planning decisions among women with psychiatric disorders.
METHODS: Utilizing a qualitative approach, three focus group discussions were conducted with purposive sampling: women with a history of unintended pregnancies (N = 3), women without children (N = 5), and women with a history of intended pregnancies (N = 9), all of whom had self-reported psychiatric disorders. Using thematic framework analysis, we investigated the themes \"Shadow of the past,\" reflecting past experiences, and \"Shadow of the future,\" reflecting future imaginaries, building upon the existing \"Narrative Framework.\"
RESULTS: The Narrative Framework formed the foundation for understanding family planning among women with psychiatric disorders. The retrospective dimension of focus group discussions provided opportunities for reflective narratives on sensitive topics, revealing emotions of regret, grief and relief. Childhood trauma, adverse events, and inadequate parenting enriched the \"Shadow of the past\". The \"Shadow of the present\" was identified as a novel theme, addressing awareness of psychiatric disorders and emotions toward psychiatric stability. Social influences, stigma, and concerns about transmitting psychiatric disorders shaped future imaginaries in the shadow of the future.
CONCLUSIONS: This study enlightens how family planning decision-making in women with psychiatric disorders might be complex, as marked by the enduring impact of past experiences and societal influences in this sample. These nuanced insights underscore the necessity for tailored support for women with psychiatric disorders.
Recent studies show that women with psychiatric disorders are more likely to experience unintended pregnancies. However, the underlying reasons are not fully understood. Understanding those reasons is important to provide better healthcare. Our study explored how women with psychiatric disorders make decisions about family planning.We had conversations with different groups of women—women with unintended pregnancies, women without children, and women with intended pregnancies—through focus group discussions. We partnered with the Dutch mental health organization MIND to capture diverse opinions. Key themes and categories in the discussions were identified and organized.We found four main themes: \"Shadow of the past\" showed how past events, trauma, and lack of knowledge about parenting affect family planning. \"Shadow of the present\" revealed different feelings about family planning, the importance of the awareness of psychiatric disorders, and uncertainty about decisions. \"Shadow of the future\" included thoughts about becoming a mother, the impact of social influences, and concerns about passing on psychiatric disorders. \"Reflections on the decision\" showed how psychiatric disorders, experiences with motherhood, and feelings of regret, grief and relief had an influence on family planning decisions.In conclusion, our study highlighted the complexity of family planning decisions for women with psychiatric disorders. Past experiences and societal influences, like stigma, play a big role. These insights show the need for personalized family planning support for women with psychiatric disorders.

BACKGROUND: Peritoneal carcinomatosis (PC) is common in patients with advanced gynecologic and gastrointestinal cancers. Frequently, patients with PC undergo palliative surgery or procedures to manage disease-related complications and side effects. However, there are limited data regarding patients\' and family caregivers\' decision-making processes about these procedures. Thus, we sought to describe the decision-making experiences of patients with PC who elect to pursue palliative surgical procedures and their family caregivers.
METHODS: We conducted a secondary analysis of qualitative data collected during a pilot randomized controlled trial of BOLSTER, a nurse-led telehealth intervention for patients with PC and their caregivers after an acute hospitalization and palliative procedure. Participants in both study arms described their experiences in semi-structured interviews. We re-analyzed coded qualitative data with a focus on understanding decision-making experiences surrounding palliative surgery and procedures using conventional content analysis.
RESULTS: Interviews from 32 participants, 23 patients and 9 caregivers, were analyzed. Participants reported their decision-making was complicated by illness uncertainty and a desire for clear, effective communication with surgical and medical oncology teams. Participants requested more information about the impact of palliative procedures on their daily life. Several also noted that, without improved understanding, a misalignment between patient and family caregiver goals and palliative procedures may inadvertently increase suffering.
CONCLUSIONS: Discussions related to patients\' goals and preferences can improve the quality of treatment decision-making in patients with PC and their caregivers. Future research should test interventions to improve advanced cancer patients\' illness understanding and decision-making surrounding palliative surgery and procedures.

The hippocampal-dependent memory system and striatal-dependent memory system modulate reinforcement learning depending on feedback timing in adults, but their contributions during development remain unclear. In a 2-year longitudinal study, 6-to-7-year-old children performed a reinforcement learning task in which they received feedback immediately or with a short delay following their response. Children\'s learning was found to be sensitive to feedback timing modulations in their reaction time and inverse temperature parameter, which quantifies value-guided decision-making. They showed longitudinal improvements towards more optimal value-based learning, and their hippocampal volume showed protracted maturation. Better delayed model-derived learning covaried with larger hippocampal volume longitudinally, in line with the adult literature. In contrast, a larger striatal volume in children was associated with both better immediate and delayed model-derived learning longitudinally. These findings show, for the first time, an early hippocampal contribution to the dynamic development of reinforcement learning in middle childhood, with neurally less differentiated and more cooperative memory systems than in adults.

BACKGROUND: Surveys suggest a low level of implementation of clinical guidelines, although they are intended to improve the quality of treatment and patient safety. Which guideline recommendations are not followed and why has yet to be analysed. In this study, we investigate the proportion of European and national guidelines followed in the area of pre-operative anaesthetic evaluation prior to non-cardiac surgery.
METHODS: We conducted this monocentric retrospective observational study at a German university hospital with the help of software that logically links guidelines in such a way that individualised recommendations can be derived from a patient\'s data. We included routine logs of 2003 patients who visited our pre-anaesthesia outpatient clinic between June 2018 and June 2020 and compared the actual conducted pre-operative examinations with the recommendations issued by the software. We descriptively analysed the data for examinations not performed that would have been recommended by the guidelines and examinations that were performed even though they were not covered by a guideline recommendation. The guidelines examined in this study are the 2018 ESAIC guidelines for pre-operative evaluation of adults undergoing elective non-cardiac surgery, the 2014 ESC/ESA guidelines on non-cardiac surgery and the German recommendations on pre-operative evaluation on non-cardiothoracic surgery from the year 2017.
RESULTS: Performed ECG (78.1%) and cardiac stress imaging tests (86.1%) indicated the highest guideline adherence. Greater adherence rates were associated with a higher ASA score (ASA I: 23.7%, ASA II: 41.1%, ASA III: 51.8%, ASA IV: 65.8%, P < 0.001), lower BMI and age > 65 years. Adherence rates in high-risk surgery (60.5%) were greater than in intermediate (46.5%) or low-risk (44.6%) surgery (P < 0.001). 67.2% of technical and laboratory tests performed preoperatively were not covered by a guideline recommendation.
CONCLUSIONS: Guideline adherence in pre-operative evaluation leaves room for improvement. Many performed pre-operative examinations, especially laboratory tests, are not recommended by the guidelines and may cause unnecessary costs. The reasons for guidelines not being followed may be the complexity of guidelines and organisational issues. A software-based decision support tool may be helpful.
BACKGROUND: ClinicalTrials.gov ID NCT04843202.

BACKGROUND: The mechanisms linking neural and behavioral indices of reduced reward sensitivity in depression, particularly in children, remain unclear. Reward positivity (RewP), a neural index of reward processing, has been consistently associated with depression. Separately, recent studies using the drift-diffusion model (DDM) on behavioral data have delineated computational indices of reward sensitivity. Therefore, the present study examined whether RewP is a neural mediator of DDM-based indices of reward processing in predicting pediatric depression across varying levels of symptom severity.
METHODS: A community sample of 166 girls, aged 8 to 14 years, completed two tasks. The first was a reward guessing task from which RewP was computed using electroencephalography; the second was a probabilistic reward-based decision-making task. On this second task, DDM analysis was applied to behavioral data to quantify the efficiency of accumulating reward-related evidence (drift rate) and potential baseline bias (starting point) towards the differently rewarded choices. Depression severity was measured using the self-report Children\'s Depression Inventory (CDI).
RESULTS: RewP was correlated with drift rate, but not starting point bias, towards the more rewarded choice. Furthermore, RewP completely mediated the association between a slower drift rate towards the more rewarded option and higher depression symptom severity.
CONCLUSIONS: Our findings suggest that reduced neural sensitivity to reward feedback might be a neural mechanism underscoring behavioral insensitivity to reward in children and adolescents with higher depression symptom severity, offering novel insights into the relationship between neural and computational indices of reward processing in this context.

OBJECTIVE: This study explored the decision-making experiences of patients and their partners or primary caregiver who opted for experimental active surveillance (instead of standard surgery) for the treatment of esophageal cancer.
METHODS: Seventeen couples participated. Semi-structured interviews were conducted on couples\' joint experiences as well as their individual experiences. Preferred and perceived role in the treatment decision-making process was assessed using the adjusted version of the Control Preferences Scale, and perceived influence on the treatment decision was measured using a visual analog scale.
RESULTS: Couples reflected on the decision-making process as a positive collaboration, where patients retain their autonomy by making the final decision, and partners offer emotional support. Couples reported about an overwhelming amount and sometimes conflicting information about treatments among different hospitals and healthcare providers.
CONCLUSIONS: Patients often involve their partner in decision-making, which they report to have enhanced their ability to cope with the disease. The amount and sometimes conflicting information during the decision-making process provide opportunities for improvement.
CONCLUSIONS: Couples can benefit from an overview of what they can expect during treatment course. If active surveillance becomes an established treatment option in the future, provision of such overviews and consistent information should become more streamlined.

Health care is at a turning point. We are shifting from protocolized medicine to precision medicine, and digital health systems are facilitating this shift. By providing clinicians with detailed information for each patient and analytic support for decision-making at the point of care, digital health technologies are enabling a new era of precision medicine. Genomic data also provide clinicians with information that can improve the accuracy and timeliness of diagnosis, optimize prescribing, and target risk reduction strategies, all of which are key elements for precision medicine. However, genomic data are predominantly seen as diagnostic information and are not routinely integrated into the clinical workflows of electronic medical records. The use of genomic data holds significant potential for precision medicine; however, as genomic data are fundamentally different from the information collected during routine practice, special considerations are needed to use this information in a digital health setting. This paper outlines the potential of genomic data integration with electronic records, and how these data can enable precision medicine.

BACKGROUND: Femoral neck fracture (FNF) accounts for approximately 3.58% of all fractures in the entire body, exhibiting an increasing trend each year. According to a survey, in 1990, the total number of hip fractures in men and women worldwide was approximately 338,000 and 917,000, respectively. In China, FNFs account for 48.22% of hip fractures. Currently, many studies have been conducted on postdischarge mortality and mortality risk in patients with FNF. However, there have been no definitive studies on in-hospital mortality or its influencing factors in patients with severe FNF admitted to the intensive care unit.
OBJECTIVE: In this paper, 3 machine learning methods were used to construct a nosocomial death prediction model for patients admitted to intensive care units to assist clinicians in early clinical decision-making.
METHODS: A retrospective analysis was conducted using information of a patient with FNF from the Medical Information Mart for Intensive Care III. After balancing the data set using the Synthetic Minority Oversampling Technique algorithm, patients were randomly separated into a 70% training set and a 30% testing set for the development and validation, respectively, of the prediction model. Random forest, extreme gradient boosting, and backpropagation neural network prediction models were constructed with nosocomial death as the outcome. Model performance was assessed using the area under the receiver operating characteristic curve, accuracy, precision, sensitivity, and specificity. The predictive value of the models was verified in comparison to the traditional logistic model.
RESULTS: A total of 366 patients with FNFs were selected, including 48 cases (13.1%) of in-hospital death. Data from 636 patients were obtained by balancing the data set with the in-hospital death group to survival group as 1:1. The 3 machine learning models exhibited high predictive accuracy, and the area under the receiver operating characteristic curve of the random forest, extreme gradient boosting, and backpropagation neural network were 0.98, 0.97, and 0.95, respectively, all with higher predictive performance than the traditional logistic regression model. Ranking the importance of the feature variables, the top 10 feature variables that were meaningful for predicting the risk of in-hospital death of patients were the Simplified Acute Physiology Score II, lactate, creatinine, gender, vitamin D, calcium, creatine kinase, creatine kinase isoenzyme, white blood cell, and age.
CONCLUSIONS: Death risk assessment models constructed using machine learning have positive significance for predicting the in-hospital mortality of patients with severe disease and provide a valid basis for reducing in-hospital mortality and improving patient prognosis.

UNASSIGNED: The basic product information, health, safety, and nutritional details, as well as food marketing, advertising, and promotion, are all provided on a packed food label. This study was carried out to assess the knowledge, attitude, and practices of the shoppers regarding food labels as there are few studies done in India and none in Pune.
UNASSIGNED: A cross-sectional study was carried out among 226 participants using a validated semi-structured questionnaire, which consisted of sociodemographic details and questions on their knowledge, attitude, and practice regarding food labels while purchasing a packed food item. Quantitative data are presented in the form of mean, standard deviation, 95% confidence interval (CI) of mean, median, and interquartile range (IQR). Qualitative data are in terms of number (N), percentages (%), and 95% CI of percentage.
UNASSIGNED: Of the 226 participants, 163 (72.12) were aware of the label on packaged foods. One hundred seventy-seven (78.32%) participants in all read the label on the packaged food. The maximum retail price (MRP) and expiration date were the most frequent labels sought. Although 17.7% of consumers did not consider nutrient composition when making a purchase, energy and protein were the most often considered nutrients. The majority (70.35%) falsely believed that juice was healthy. The packed food label\'s tiny font made it difficult to read for 30.38% of the customers.
UNASSIGNED: Despite the increased awareness about packed food labeling, a fraction of shoppers were not concerned about nutritional information. In contrast to the prevailing knowledge, the majority believes packed food has a positive effect on health.

Many everyday decisions, including those concerning our health, finances and the environment, involve choosing between a smaller but imminent reward (e.g., €20 now) and a later but larger reward (e.g., €40 in a month). The extent to which an individual prefers smaller imminent rewards over larger delayed rewards can be measured using delay discounting tasks. Acute stress induces a cascade of biological and psychological responses with potential consequences for how individuals think about the future, process rewards, and make decisions, all of which can impact delay discounting. Several studies have shown that individuals focus more on imminent rewards under stress. These findings have been used to explain why individuals make detrimental choices under acute stress. Yet, the evidence linking acute stress to delay discounting is equivocal. To address this uncertainty, we conducted a meta-analysis of 11 studies (14 effects) to systematically quantify the effects of acute stress on monetary delay discounting. Overall, we find no effect of acute stress on delay discounting, compared to control conditions (SMD = -0.18, 95% CI [-0.57, 0.20], p = 0.32). We also find that neither the gender/sex of the participants, the type of stressor (e.g., physical vs. psychosocial) nor whether monetary decisions were hypothetical or incentivized (i.e. monetary decisions were actually paid out) moderated the impact of acute stress on monetary delay discounting. We argue that establishing the effects of acute stress on the separate processes involved in delay discounting, such as reward valuation and prospection, will help to resolve the inconsistencies in the field.