A qualitative evaluation of factors influencing Tumor Treating fields (TTFields) therapy decision making among brain tumor patients and physicians.

BACKGROUND: Tumor Treating Fields (TTFields) Therapy is an FDA-approved therapy in the first line and recurrent setting for glioblastoma. Despite Phase 3 evidence showing improved survival with TTFields, it is not uniformly utilized. We aimed to examine patient and clinician views of TTFields and factors shaping utilization of TTFields through a unique research partnership with medical neuro oncology and medical social sciences. METHODS: Adult glioblastoma patients who were offered TTFields at a tertiary care academic hospital were invited to participate in a semi-structured interview about their decision to use or not use TTFields. Clinicians who prescribe TTFields were invited to participate in a semi-structured interview about TTFields. RESULTS: Interviews were completed with 40 patients with a mean age of 53 years; 92.5% were white and 60% were male. Participants who decided against TTFields stated that head shaving, appearing sick, and inconvenience of wearing/carrying the device most influenced their decision. The most influential factors for use of TTFields were the efficacy of the device and their clinician's opinion. Clinicians (N = 9) stated that TTFields was a good option for glioblastoma patients, but some noted that their patients should consider the burdens and benefits of TTFields as it may not be the desired choice for all patients. CONCLUSIONS: This is the first study to examine patient decision making for TTFields. Findings suggest that clinician support and efficacy data are among the key decision-making factors. Properly understanding the path to patients' decision making is crucial in optimizing the use of TTFields and other therapeutic decisions for glioblastoma patients.

De-imFAR phase II project: a study protocol for a cluster randomised implementation trial to evaluate the effectiveness of de-implementation strategies to reduce low-value statin prescribing in the primary prevention of cardiovascular disease.

INTRODUCTION: This study aims to reduce potentially inappropriate prescribing (PIP) of statins and foster healthy lifestyle promotion in cardiovascular disease (CVD) primary prevention in low-risk patients. To this end, we will compare the effectiveness and feasibility of several de-implementation strategies developed following the structured design process of the Behaviour Change Wheel targeting key determinants of the clinical decision-making process in CVD prevention. METHODS AND ANALYSIS: A cluster randomised implementation trial, with an additional control group, will be launched, involving family physicians (FPs) from 13 Integrated Healthcare Organisations (IHOs) of Osakidetza-Basque Health Service with non-zero incidence rates of PIP of statins in 2021. All FPs will be exposed to a non-reflective decision assistance strategy based on reminders and decision support tools. Additionally, FPs from two of the IHOs will be randomly assigned to one of two increasingly intensive de-implementation strategies: adding a decision information strategy based on knowledge dissemination and a reflective decision structure strategy through audit/feedback. The target population comprises women aged 45-74 years and men aged 40-74 years with moderately elevated cholesterol levels but no diagnosed CVD and low cardiovascular risk (REGICOR<7.5%), who attend at least one appointment with any of the participating FPs (May 2022-May 2023), and will be followed until May 2024. We use the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework to evaluate outcomes. The main outcome will be the change in the incidence rate of PIP of statins and healthy lifestyle counselling in the study population 12 and 24 months after FPs' exposure to the strategies. Moreover, FPs' perception of their feasibility and acceptability, and patient experience regarding the quality of care received will be evaluated. ETHICS AND DISSEMINATION: The study was approved by the Basque Country Clinical Research Ethics Committee and was registered in ClinicalTrials.gov (NCT04022850). Results will be disseminated in scientific peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT04022850.

Physicians, know thy patient.

Person-centered care is presently the standard healthcare model, which emphases shared clinical decision-making, patient autonomy and empowerment. However, many aspects of the modern-day clinical practice such as the increased reliance on medical technologies, artificial intelligence, and teleconsultation have significantly altered the quality of patient-physician communications. Moreover, many countries are facing an aging population with longer life expectancies but increasingly complex medical comorbidities, which, coupled with medical subspecialization and competing health systems, often lead to fragmentation of clinical care. In this article, I discuss what it truly means for a clinician to know a patient, which is, in fact, a highly intricate skill that is necessary to meet the high bar of person-centered care. I suggest that this can be achieved through the implementation of a holistic biopsychosocial model of clinical consultation at the physician level and fostering coordinated and continuity of care at the health systems level.

Efficacy of home phototherapy versus inpatient phototherapy for neonatal hyperbilirubinemia: a systematic review and meta-analysis.

BACKGROUND: Home phototherapy (HPT) remains a contentious alternative to inpatient phototherapy (IPT) for neonatal hyperbilirubinemia. To guide evidence-based clinical decision-making, we conducted a meta-analysis of randomized clinical trials (RCTs) and cohort studies and assessed the comparative risks and benefits of HPT and IPT. METHODS: PubMed, Embase, Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure Database, Wanfang Database, Chinese Science and Technique Journals Database, ClinicalTrials.gov, and International Clinical Trial Registry Platform trial were searched from inception until June 2, 2023. We included RCTs and cohort studies and adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Study quality was assessed with the Cochrane Collaboration Risk of Bias tool and the Newcastle-Ottawa scale. The outcome measures were phototherapy duration, daily bilirubin level reduction, exchange transfusion, hospital readmission, parental stress scale, and complications. We used fixed- or random-effects meta-analysis models, assessed heterogeneity (I2), conducted subgroup analyses, evaluated publication bias, and graded evidence quality. RESULTS: Nine studies (998 patients) were included (four RCTs, five cohort studies). HPT was associated with longer phototherapy duration (SMD = 0.55, 95% CI: 0.06-1.04, P = 0.03). Cohort study subgroup analysis yielded consistent results (SMD = 0.90; 95% CI: 0.69 to 1.11, P < 0.001, I2 = 39%); the RCTs were not significantly different (SMD = -0.04; 95% CI: -0.15 to 0.08, P = 0.54, I2 = 0%). Hospital readmission was higher with HPT (RR = 4.61; 95% CI: 1.43-14.86, P = 0.01). Daily bilirubin reduction (WMD = -0.12, 95% CI: -0.68 to 0.44, P = 0.68) or complications were not significantly different (RR = 2.29; 95% CI: 0.31-16.60, P = 0.41). The evidence quality was very low. HPT was associated with lower parental stress (SMD = -0.44, 95% CI: -0.71 to -0.16, P = 0.002). None of three included studies reported exchange transfusion. CONCLUSIONS: The current evidence does not strongly support HPT efficacy for neonatal hyperbilirubinemia, as high-quality data on long-term outcomes are scarce. Future research should prioritize well-designed, large-scale, high-quality RCTs to comprehensively assess HPT risks and benefits.

Exploring the landscape of AI-assisted decision-making in head and neck cancer treatment: a comparative analysis of NCCN guidelines and ChatGPT responses.

PURPOSE: Recent breakthroughs in natural language processing and machine learning, exemplified by ChatGPT, have spurred a paradigm shift in healthcare. Released by OpenAI in November 2022, ChatGPT rapidly gained global attention. Trained on massive text datasets, this large language model holds immense potential to revolutionize healthcare. However, existing literature often overlooks the need for rigorous validation and real-world applicability. METHODS: This head-to-head comparative study assesses ChatGPT's capabilities in providing therapeutic recommendations for head and neck cancers. Simulating every NCCN Guidelines scenarios. ChatGPT is queried on primary treatments, adjuvant treatment, and follow-up, with responses compared to the NCCN Guidelines. Performance metrics, including sensitivity, specificity, and F1 score, are employed for assessment. RESULTS: The study includes 68 hypothetical cases and 204 clinical scenarios. ChatGPT exhibits promising capabilities in addressing NCCN-related queries, achieving high sensitivity and overall accuracy across primary treatment, adjuvant treatment, and follow-up. The study's metrics showcase robustness in providing relevant suggestions. However, a few inaccuracies are noted, especially in primary treatment scenarios. CONCLUSION: Our study highlights the proficiency of ChatGPT in providing treatment suggestions. The model's alignment with the NCCN Guidelines sets the stage for a nuanced exploration of AI's evolving role in oncological decision support. However, challenges related to the interpretability of AI in clinical decision-making and the importance of clinicians understanding the underlying principles of AI models remain unexplored. As AI continues to advance, collaborative efforts between models and medical experts are deemed essential for unlocking new frontiers in personalized cancer care.

Electronic Integrated Management of Childhood Illness (eIMCI): a randomized controlled trial to evaluate an electronic clinical decision-making support system for management of sick children in primary health care facilities in South Africa.

BACKGROUND: Electronic clinical decision-making support systems (eCDSS) aim to assist clinicians making complex patient management decisions and improve adherence to evidence-based guidelines. Integrated management of Childhood Illness (IMCI) provides guidelines for management of sick children attending primary health care clinics and is widely implemented globally. An electronic version of IMCI (eIMCI) was developed in South Africa. METHODS: We conducted a cluster randomized controlled trial comparing management of sick children with eIMCI to the management when using paper-based IMCI (pIMCI) in one district in KwaZulu-Natal. From 31 clinics in the district, 15 were randomly assigned to intervention (eIMCI) or control (pIMCI) groups. Computers were deployed in eIMCI clinics, and one IMCI trained nurse was randomly selected to participate from each clinic. eIMCI participants received a one-day computer training, and all participants received a similar three-day IMCI update and two mentoring visits. A quantitative survey was conducted among mothers and sick children attending participating clinics to assess the quality of care provided by IMCI practitioners. Sick child assessments by participants in eIMCI and pIMCI groups were compared to assessment by an IMCI expert. RESULTS: Self-reported computer skills were poor among all nurse participants. IMCI knowledge was similar in both groups. Among 291 enrolled children: 152 were in the eIMCI group; 139 in the pIMCI group. The mean number of enrolled children was 9.7 per clinic (range 7-12). IMCI implementation was sub-optimal in both eIMCI and pIMCI groups. eIMCI consultations took longer than pIMCI consultations (median duration 28 minutes vs 25 minutes; p = 0.02). eIMCI participants were less likely than pIMCI participants to correctly classify children for presenting symptoms, but were more likely to correctly classify for screening conditions, particularly malnutrition. eIMCI participants were less likely to provide all required medications (124/152; 81.6% vs 126/139; 91.6%, p= 0.026), and more likely to prescribe unnecessary medication (48/152; 31.6% vs 20/139; 14.4%, p = 0.004) compared to pIMCI participants. CONCLUSIONS: Implementation of eIMCI failed to improve management of sick children, with poor IMCI implementation in both groups. Further research is needed to understand barriers to comprehensive implementation of both pIMCI and eIMCI. (349) CLINICAL TRIALS REGISTRATION: Clinicaltrials.gov ID: BFC157/19, August 2019.

AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians' and midwives' perspectives on integrating AI-driven CTG into clinical decision making.

BACKGROUND: Given that AI-driven decision support systems (AI-DSS) are intended to assist in medical decision making, it is essential that clinicians are willing to incorporate AI-DSS into their practice. This study takes as a case study the use of AI-driven cardiotography (CTG), a type of AI-DSS, in the context of intrapartum care. Focusing on the perspectives of obstetricians and midwives regarding the ethical and trust-related issues of incorporating AI-driven tools in their practice, this paper explores the conditions that AI-driven CTG must fulfill for clinicians to feel justified in incorporating this assistive technology into their decision-making processes regarding interventions in labor. METHODS: This study is based on semi-structured interviews conducted online with eight obstetricians and five midwives based in England. Participants were asked about their current decision-making processes about when to intervene in labor, how AI-driven CTG might enhance or disrupt this process, and what it would take for them to trust this kind of technology. Interviews were transcribed verbatim and analyzed with thematic analysis. NVivo software was used to organize thematic codes that recurred in interviews to identify the issues that mattered most to participants. Topics and themes that were repeated across interviews were identified to form the basis of the analysis and conclusions of this paper. RESULTS: There were four major themes that emerged from our interviews with obstetricians and midwives regarding the conditions that AI-driven CTG must fulfill: (1) the importance of accurate and efficient risk assessments; (2) the capacity for personalization and individualized medicine; (3) the lack of significance regarding the type of institution that develops technology; and (4) the need for transparency in the development process. CONCLUSIONS: Accuracy, efficiency, personalization abilities, transparency, and clear evidence that it can improve outcomes are conditions that clinicians deem necessary for AI-DSS to meet in order to be considered reliable and therefore worthy of being incorporated into the decision-making process. Importantly, healthcare professionals considered themselves as the epistemic authorities in the clinical context and the bearers of responsibility for delivering appropriate care. Therefore, what mattered to them was being able to evaluate the reliability of AI-DSS on their own terms, and have confidence in implementing them in their practice.

PBPK/PD Modeling of Nifedipine for Precision Medicine in Pregnant Women: Enhancing Clinical Decision-Making for Optimal Drug Therapy.

OBJECTIVE: This study aims to develop physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) predictive models for nifedipine in pregnant women, enhancing precision medicine and reducing adverse reactions for both mothers and infants. METHODS: A PBPK/PD model was constructed using PK-Sim, MoBi, and MATLAB software, integrating literature and pregnancy-specific physiological information. The process involved: (1) establishing and validating a PBPK model for serum clearance after intravenous administration in non-pregnant individuals, (2) establishing and validating a PBPK model for serum clearance after oral administration in non-pregnant individuals, (3) constructing and validating a PBPK model for enzyme clearance after oral administration in non-pregnant individuals, and (4) adjusting the PBPK model structure and enzyme parameters according to pregnant women and validating it in oral administration. (5) PK/PD model was explored through MATLAB, and the PBPK and PK/PD models were integrated to form the PBPK/PD model. RESULTS: The Nifedipine PBPK model's predictive accuracy was confirmed by non-pregnant and pregnant validation studies. The developed PBPK/PD model accurately predicted maximum antihypertensive effects for clinical doses of 5, 10, and 20 mg. The model suggested peak effect at 0.86 h post-administration, achieving blood pressure reductions of 5.4 mmHg, 14.3 mmHg, and 21.3 mmHg, respectively. This model provides guidance for tailored dosing in pregnancy-induced hypertension based on targeted blood pressure reduction. CONCLUSION: Based on available literature data, the PBPK/PD model of Nifedipine in pregnancy demonstrated good predictive performance. It will help optimize individualized dosing of Nifedipine, improve treatment outcomes, and minimize the risk of adverse reactions in mothers and infants.

Toward an Interdisciplinary Approach to Constructing Care Delivery Pathways From Electronic Health Care Databases to Support Integrated Care in Chronic Conditions: Systematic Review of Quantification and Visualization Methods.

BACKGROUND: Electronic health care databases are increasingly used for informing clinical decision-making. In long-term care, linking and accessing information on health care delivered by different providers could improve coordination and health outcomes. Several methods for quantifying and visualizing this information into data-driven care delivery pathways (CDPs) have been proposed. To be integrated effectively and sustainably into routine care, these methods need to meet a range of prerequisites covering 3 broad domains: clinical, technological, and behavioral. Although advances have been made, development to date lacks a comprehensive interdisciplinary approach. As the field expands, it would benefit from developing common standards of development and reporting that integrate clinical, technological, and behavioral aspects. OBJECTIVE: We aimed to describe the content and development of long-term CDP quantification and visualization methods and to propose recommendations for future work. METHODS: We conducted a systematic review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) recommendations. We searched peer-reviewed publications in English and reported the CDP methods by using the following data in the included studies: long-term care data and extracted data on clinical information and aims, technological development and characteristics, and user behaviors. The data are summarized in tables and presented narratively. RESULTS: Of the 2921 records identified, 14 studies were included, of which 13 (93%) were descriptive reports and 1 (7%) was a validation study. Clinical aims focused primarily on treatment decision-making (n=6, 43%) and care coordination (n=7, 50%). Technological development followed a similar process from scope definition to tool validation, with various levels of detail in reporting. User behaviors (n=3, 21%) referred to accessing CDPs, planning care, adjusting treatment, or supporting adherence. CONCLUSIONS: The use of electronic health care databases for quantifying and visualizing CDPs in long-term care is an emerging field. Detailed and standardized reporting of clinical and technological aspects is needed. Early consideration of how CDPs would be used, validated, and implemented in clinical practice would likely facilitate further development and adoption. TRIAL REGISTRATION: PROSPERO CRD42019140494; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=140494. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2019-033573.

Women with limb loss: rationale, design and protocol for a national, exploratory needs assessment to evaluate the unique physical and psychosocial needs of women with limb loss.

INTRODUCTION: There is a growing population of women with limb loss, yet limited research is available to provide evidentiary support for clinical decision-making in this demographic. As such, there is a critical gap in knowledge of evidence-based healthcare practices aimed to maximise the physical and psychosocial needs of women with limb loss. The objective of this study is to develop a comprehensive, survey-based needs assessment to determine the unique impact of limb loss on women, including physical and psychosocial needs. METHODS AND ANALYSIS: A bank of existing limb loss-specific and non-limb loss-specific surveys were arranged around domains of general health, quality of life, prosthetic use and needs, psychosocial health and behaviours and body image. These surveys were supplemented with written items to ensure coverage of relevant domains. Written items were iteratively refined with a multidisciplinary expert panel. The interpretability of items and relevance to limb loss were then internally tested on a small group of rehabilitation, engineering and research professionals. A diverse sample of 12 individuals with various levels of limb loss piloted the instrument and participated in cognitive interviews. Items from existing surveys were evaluated for relevance and inclusion in the survey, but not solicited for content feedback. Pilot testing resulted in the removal of 13 items from an existing survey due to redundancy. Additionally, 13 written items were deleted, 42 written items were revised and 17 written items were added. The survey-based needs assessment has been crafted to comprehensively assess the wide spectrum of issues facing women with limb loss. The final version of the survey-based needs assessment included 15 subsections. ETHICS AND DISSEMINATION: This study was approved by the Veterans Affairs Central Institutional Review Board. The results will be disseminated through national and international conferences, as well as through manuscripts in leading peer-reviewed journals. TRIAL REGISTRATION NUMBER: No healthcare intervention on human participants was conducted.

A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization.

BACKGROUND: Machine learning (ML) predictions are becoming increasingly integrated into medical practice. One commonly used method, ℓ1-penalised logistic regression (LASSO), can estimate patient risk for disease outcomes but is limited by only providing point estimates. Instead, Bayesian logistic LASSO regression (BLLR) models provide distributions for risk predictions, giving clinicians a better understanding of predictive uncertainty, but they are not commonly implemented. METHODS: This study evaluates the predictive performance of different BLLRs compared to standard logistic LASSO regression, using real-world, high-dimensional, structured electronic health record (EHR) data from cancer patients initiating chemotherapy at a comprehensive cancer centre. Multiple BLLR models were compared against a LASSO model using an 80-20 random split using 10-fold cross-validation to predict the risk of acute care utilization (ACU) after starting chemotherapy. FINDINGS: This study included 8439 patients. The LASSO model predicted ACU with an area under the receiver operating characteristic curve (AUROC) of 0.806 (95% CI: 0.775-0.834). BLLR with a Horseshoe+ prior and a posterior approximated by Metropolis-Hastings sampling showed similar performance: 0.807 (95% CI: 0.780-0.834) and offers the advantage of uncertainty estimation for each prediction. In addition, BLLR could identify predictions too uncertain to be automatically classified. BLLR uncertainties were stratified by different patient subgroups, demonstrating that predictive uncertainties significantly differ across race, cancer type, and stage. INTERPRETATION: BLLRs are a promising yet underutilised tool that increases explainability by providing risk estimates while offering a similar level of performance to standard LASSO-based models. Additionally, these models can identify patient subgroups with higher uncertainty, which can augment clinical decision-making. FUNDING: This work was supported in part by the National Library Of Medicine of the National Institutes of Health under Award Number R01LM013362. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Medical decision making beyond evidence: Correlates of belief in complementary and alternative medicine (CAM) and homeopathy.

Many people believe in and use complementary and alternative medicine (CAM) to address health issues or prevent diseases. Empirical evidence for those treatments is either lacking or controversial due to methodological weaknesses. Thus, practitioners and patients primarily rely on subjective references rather than credible empirical evidence from systematic research. This study investigated whether cognitive and personality factors explain differences in belief in CAM and homeopathy. We investigated the robustness of 21 predictors when examined together to obtain insights into key determinants of such beliefs in a sample of 599 participants (60% female, 18-81 years). A combination of predictors explained 20% of the variance in CAM belief (predictors: ontological confusions, spiritual epistemology, agreeableness, death anxiety, gender) and approximately 21% of the variance in belief in homeopathy (predictors: ontological confusions, illusory pattern perception, need for cognitive closure, need for cognition, honesty-humility, death anxiety, gender, age). Individuals believing in CAM and homeopathy have cognitive biases and certain individual differences which make them perceive the world differently. Findings are discussed in the context of previous literature and in relation to other unfounded beliefs.

Challenges to delivering evidence-based palliative medicine.

Established as a medical specialty in 1987, palliative medicine approaches middle age facing existential questions of identity, purpose and vision. Time has weakened strong foundations laid by Dame Cicely Saunders in research, education and clinical excellence. Clinical knowledge gaps are wide, and widening. Palliative medicine research is underfunded and underrepresented in discourse. Despite huge advances in modern medicine, there is still clinical uncertainty about simple interventions, such as whether artificial hydration at the end of life is helpful or harmful. Where good quality data do exist, the pace of change is slow, if change is happening at all. Trial design often fails to assess the holistic impact of interventions, using primary endpoints that are inconsistent with outcomes most valued to the patient. Recent years have seen a rapid expansion in innovation and investment in digital technologies, embraced by many in palliative medicine. Experience shows that caution must be applied where the evidence base is sparse. While as a specialty we must remain forward looking and progressive in our mindset, it cannot be assumed that these new interventions alone will provide the solutions to the old problems that exist in palliative medicine.This review summarises the key points presented in the Palliative Medicine section of the RCP Clinical Medicine Conference, 2022.

A hierarchical multilabel graph attention network method to predict the deterioration paths of chronic hepatitis B patients.

OBJECTIVE: Estimating the deterioration paths of chronic hepatitis B (CHB) patients is critical for physicians' decisions and patient management. A novel, hierarchical multilabel graph attention-based method aims to predict patient deterioration paths more effectively. Applied to a CHB patient data set, it offers strong predictive utilities and clinical value. MATERIALS AND METHODS: The proposed method incorporates patients' responses to medications, diagnosis event sequences, and outcome dependencies to estimate deterioration paths. From the electronic health records maintained by a major healthcare organization in Taiwan, we collect clinical data about 177 959 patients diagnosed with hepatitis B virus infection. We use this sample to evaluate the proposed method's predictive efficacy relative to 9 existing methods, as measured by precision, recall, F-measure, and area under the curve (AUC). RESULTS: We use 20% of the sample as holdouts to test each method's prediction performance. The results indicate that our method consistently and significantly outperforms all benchmark methods. It attains the highest AUC, with a 4.8% improvement over the best-performing benchmark, as well as 20.9% and 11.4% improvements in precision and F-measures, respectively. The comparative results demonstrate that our method is more effective for predicting CHB patients' deterioration paths than existing predictive methods. DISCUSSION AND CONCLUSION: The proposed method underscores the value of patient-medication interactions, temporal sequential patterns of distinct diagnosis, and patient outcome dependencies for capturing dynamics that underpin patient deterioration over time. Its efficacious estimates grant physicians a more holistic view of patient progressions and can enhance their clinical decision-making and patient management.

Aneurysmal Subarachnoid Hemorrhage and Clinical Decision-Making: A Qualitative Pilot Study Exploring Perspectives of Those Directly Affected, Their Next of Kin, and Treating Clinicians.

BACKGROUND: Exploring the experience and impact of aneurysmal subarachnoid hemorrhage (aSAH) from three perspectives, that of those directly affected (AFs), their next of kin (NoK), and treating clinicians, is a way to support and empower others to make informed medical decisions. METHODS: In a Swiss neurosurgical intensive care unit (ICU), eleven semi-structured interviews were conducted as part of a Database of Individual Patient Experiences (DIPEx) pilot project and thematically analyzed. Interviews were held with two clinicians, five people experiencing aSAH, and four NoK 14-21 months after the bleeding event. RESULTS: Qualitative analysis revealed five main themes from the perspective of clinicians: emergency care, diagnosis and treatment, outcomes, everyday life in the ICU, and decision-making; seven main themes were identified for AFs and NoK: the experience of the aSAH, diagnosis and treatment, outcomes, impact on loved ones, identity, faith, religion and spirituality, and decision-making. Perspectives on decision-making were compared, and, whereas clinicians tended to focus their attention on determining treatment, AFs and NoK valued participation in shared decision-making processes. CONCLUSIONS: Overall, aSAH was perceived as a life-threatening event with various challenges depending on severity. The results suggest the need for tools that aid decision-making and better prepare AFs and NoK using accessible means and at an early stage.

A meta-synthesis on the older adults' perspective of advance care planning.

AIM: To synthesise the evidence regarding older adults' perception of advance care planning in preparation for end-of-life care. BACKGROUND: Advance care planning involves continuous communication of end-of-life care goals involving an individual's medical treatment preferences. However, its uptake among older adults remains low. DESIGN: The meta-synthesis was conducted according to the Enhancing Transparency in Reporting the Synthesis of Qualitative research (ENTREQ) guidelines and thematic synthesis was employed to synthesise the qualitative findings in an inductive manner. DATA SOURCE: A search was completed on six electronic databases (PubMed, EMBASE, CINAHL, PsycINFO, Web of Science, Scopus), for publications from 1 January 2000 to 4 December 2021. REVIEW METHOD: The certainty of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation and Confidence (GRADE-CERQual) in the Evidence from Reviews of Qualitative research. Two independent reviewers conducted this process, and disagreements were resolved through discussions. RESULTS: Fourteen studies were analysed. Four major themes and eleven subthemes emerged from the thematic synthesis: (1) psychosocial preparedness, (2) medical preparedness, (3) psychological barriers towards advance care planning and (4) extrinsic barriers towards advance care planning. DISCUSSION: These themes consolidated older adults' views of advance care planning and how engagement in this planning affected their end-of-life preparedness. CONCLUSION: This review suggested psychological and extrinsic factors were barriers to the uptake of advance care planning and provided directions for future research to achieve a holistic understanding of the impact of advance care planning on end-of-life preparedness. RELEVANCE TO CLINICAL PRACTICE: Healthcare professionals could maintain close communication with older adults and families periodically to evaluate their readiness to discuss advance care planning to improve their preparedness. Healthcare professionals could also provide psychological support during the discussion of clinical decision-making to enhance readiness and confidence among older adults and their families.

Advance Care Planning in Serious Illness: A Narrative Review.

CONTEXT: Advance care planning (ACP) intends to support person-centered medical decision-making by eliciting patient preferences. Research has not identified significant associations between ACP and goal-concordant end-of-life care, leading to justified scientific debate regarding ACP utility. OBJECTIVE: To delineate ACP's potential benefits and missed opportunities and identify an evidence-informed, clinically relevant path ahead for ACP in serious illness. METHODS: We conducted a narrative review merging the best available ACP empirical data, grey literature, and emergent scholarly discourse using a snowball search of PubMed, Medline, and Google Scholar (2000-2022). Findings were informed by our team's interprofessional clinical and research expertise in serious illness care. RESULTS: Early ACP practices were largely tied to mandated document completion, potentially failing to capture the holistic preferences of patients and surrogates. ACP models focused on serious illness communication rather than documentation show promising patient and clinician results. Ideally, ACP would lead to goal-concordant care even amid the unpredictability of serious illness trajectories. But ACP might also provide a false sense of security that patients' wishes will be honored and revisited at end-of-life. An iterative, 'building block' framework to integrate ACP throughout serious illness is provided alongside clinical practice, research, and policy recommendations. CONCLUSIONS: We advocate a balanced approach to ACP, recognizing empirical deficits while acknowledging potential benefits and ethical imperatives (e.g., fostering clinician-patient trust and shared decision-making). We support prioritizing patient/surrogate-centered outcomes with more robust measures to account for interpersonal clinician-patient variables that likely inform ACP efficacy and may better evaluate information gleaned during serious illness encounters.

Intervenções psicológicas necessárias: a prática como residente no serviço de medicina fetal / Necessary psychological interventions: the practice as a resident in the fetal medicine service / Intervenciones psicológicas necesarias: la práctica como residente en el servicio de medicina fetal

Com os avanços tecnológicos e o aprimoramento da prática médica via ultrassonografia, já é possível detectar possíveis problemas no feto desde a gestação. O objetivo deste estudo foi analisar a prática do psicólogo no contexto de gestações que envolvem riscos fetais. Trata-se de um estudo qualitativo sob formato de relato de experiência como psicólogo residente no Serviço de Medicina Fetal da Maternidade Escola da Universidade Federal do Rio de Janeiro (UFRJ). Os registros, feitos por observação participante e diário de campo, foram analisados em dois eixos temáticos: 1) intervenções psicológicas no trabalho em equipe em consulta de pré-natal, exame de ultrassonografia e procedimento de amniocentese; e 2) intervenções psicológicas em casos de bebês incompatíveis com a vida. Os resultados indicaram que o psicólogo nesse serviço é essencial para atuar de forma multiprofissional na assistência pré-natal para gravidezes de alto risco fetal. Ademais, a preceptoria do residente é relevante para sua formação e treinamento para atuação profissional no campo da psicologia perinatal.(AU)

Face to the technological advances and the improvement of medical practice via ultrasound, it is already possible to detect possible problems in the fetus since pregnancy. The objective of this study was to analyze the psychologist's practice in the context of pregnancies which involve fetal risks. It is a qualitative study based on an experience report as a psychologist trainee at the Fetal Medicine Service of the Maternity School of UFRJ. The records, based on the participant observation and field diary, were analyzed in two thematic axes: 1) psychological interventions in the teamwork in the prenatal attendance, ultrasound examination and amniocentesis procedure; and 2) psychological interventions in cases of babies incompatible to the life. The results indicated that the psychologist in this service is essential to work in a multidisciplinary way at the prenatal care for high fetal risk pregnancies. Furthermore, the resident's preceptorship is relevant to their education and training for professional performance in the field of Perinatal Psychology.(AU)

Con los avances tecnológicos y la mejora de la práctica médica a través de la ecografía, ya se puede detectar posibles problemas en el feto desde el embarazo. El objetivo de este estudio fue analizar la práctica del psicólogo en el contexto de embarazos de riesgos fetal. Es un estudio cualitativo basado en un relato de experiencia como residente de psicología en el Servicio de Medicina Fetal de la Escuela de Maternidad de la Universidade Federal do Rio de Janeiro (UFRJ). Los registros, realizados en la observación participante y el diario de campo, se analizaron en dos ejes temáticos: 1) intervenciones psicológicas en el trabajo en equipo, en la consulta prenatal, ecografía y los procedimientos de amniocentesis; y 2) intervenciones psicológicas en casos de bebés incompatibles con la vida. Los resultados señalaron como fundamental la presencia del psicólogo en este servicio trabajando de forma multidisciplinar en la atención prenatal en el contexto de embarazos de alto riesgo fetal. Además, la tutela del residente es relevante para su educación y formación para el desempeño profesional en el campo de la Psicología Perinatal.(AU)

Disease- and Drug-Related Knowledge Extraction for Health Management from Online Health Communities Based on BERT-BiGRU-ATT.

Knowledge extraction from rich text in online health communities can supplement and improve the existing knowledge base, supporting evidence-based medicine and clinical decision making. The extracted time series health management data of users can help users with similar conditions when managing their health. By annotating four relationships, this study constructed a deep learning model, BERT-BiGRU-ATT, to extract disease-medication relationships. A Chinese-pretrained BERT model was used to generate word embeddings for the question-and-answer data from online health communities in China. In addition, the bidirectional gated recurrent unit, combined with an attention mechanism, was employed to capture sequence context features and then to classify text related to diseases and drugs using a softmax classifier and to obtain the time series data provided by users. By using various word embedding training experiments and comparisons with classical models, the superiority of our model in relation to extraction was verified. Based on the knowledge extraction, the evolution of a user's disease progression was analyzed according to the time series data provided by users to further analyze the evolution of the user's disease progression. BERT word embedding, GRU, and attention mechanisms in our research play major roles in knowledge extraction. The knowledge extraction results obtained are expected to supplement and improve the existing knowledge base, assist doctors' diagnosis, and help users with dynamic lifecycle health management, such as user disease treatment management. In future studies, a co-reference resolution can be introduced to further improve the effect of extracting the relationships among diseases, drugs, and drug effects.

The role of the clinical nurse specialist in head and neck cancer care.

The numbers of head and neck cancers are increasing, coupled with the emergence of human-papillomavirus-derived disease with a shift of practice in care. The head and neck cancer patient pathway remains a difficult and fragmented pathway to experience, with arduous treatment regimens to endure together with acute and long-term effects of treatment.The clinical nurse specialist is a pivotal member of the multidisciplinary team, coordinating delivery of high-standard,seamless holistic and timely care to patients and carers. The nurse specialist team possesses in-depth knowledge of head and neck cancer, uses expert clinical decision-making skills for symptom management, and develops and delivers services in conjunction with members of the core and extended team. Their unique therapeutic relationship with patients contributes to the patient experience itself.A head and neck cancer diagnosis affects a patient's wellbeing and impacts on many emotional, psychological, social, physical, financial and sexual aspects of life for both the patient and carer. This requires input from all members of the multidisciplinary team, from the point of diagnosis, through to the treatment trajectory and beyond.