ObjectivesTo identify and analyse ethical considerations raised when individuals with body dysmorphic disorder (BDD) consult for non-surgical cosmetic procedures.MethodsEthical analysis was conducted ...addressing the issues of best interests and capacity to consent for non-surgical cosmetic procedures in individuals with BDD. Analysis was informed by the findings of semistructured interviews with non-surgical cosmetic practitioners and mental health professionals.FindingsNon-surgical cosmetic interventions were viewed not to be in the best interests of individuals with BDD, as they fail to address core psychological issues, result in dissatisfaction post-procedure, and risk harm. Referral to mental health services was advocated, however numerous obstacles to this were perceived. The issue of capacity to consent to non-surgical cosmetic procedures raised questions regarding whether standard capacity assessment is sensitive to the manner in which BDD may influence decision-making processes. In addition, concerns were voiced that decisions made by individuals with BDD in this context may be judged foolish, and thus wrongly equated with lack of capacity.Discussion/conclusionsEthical analysis, informed by the available evidence base, suggests that it is generally not in the best interests of individuals with BDD to undergo non-surgical cosmetic intervention, and referral to mental health services is indicated. Analysis of capacity draws parallels between BDD and anorexia nervosa, as decision-making capacity in both conditions can be impaired by pathological values derived from the disorder. Means of differentiating clinical assessment of pathological values from inappropriate value judgements are advocated, in order to safeguard against the latter encroaching into capacity assessment.
Emergency department (ED) crowding has been and continues to be a national concern. ED crowding is defined as a situation in which the identified need for emergency services outstrips available ...resources in the ED. Crowding is associated with higher morbidity and mortality, delayed pain control, delayed time to administration of antibiotics, increased medical errors, and less-than-optimal health care. ED crowding impedes a hospital's ability to achieve national quality and patient safety goals, diminishes the effectiveness of the health care safety net, and limits the capacity of hospitals to respond to a disaster and/or sudden surge in disease. Both children and adults seeking care in emergency settings are placed at risk. Crowding negatively influences the experience for patients, families, and providers, and can impact employee turnover and well-being. No single factor is implicated in creating the issue of crowding, but elements that influence crowding can be divided into those that affect input (prehospital and outpatient care), throughput (ED), and output (hospital and outpatient care). The degree of ED crowding is difficult to quantify but has been linked to markers such as hours on ambulance diversion, hours of inpatient boarding in the emergency setting, increasing wait times, and patients who leave without being seen. A number of organizations, including the American College of Emergency Physicians, the Emergency Nurses Association, and the National Quality Forum, have convened to better define emergency metrics and definitions that help provide data for benchmarks for patient throughput performance. The Joint Commission has acknowledged that patient safety is tied to patient throughput and has developed guidance for hospitals to ensure that hospital leadership engages in the process of safe egress of the patient out of the ED and, most recently, to address efficient disposition of patients with mental health emergencies. It is important that the American Academy of Pediatrics acknowledges the potential impact on access to optimal emergency care for children in the face of ED crowding and helps guide health policy decision-makers toward effective solutions that promote the medical home and timely access to emergency care.
•Individualized psychosis risk predictions could feasibly become a clinical reality.•Neuroimaging biomarkers play a central role in many risk prediction models.•Ethically relevant benefits include ...early intervention and risk factor avoidance.•Ethically relevant risks include stigma, unequal access, and machine learning bias.•Ethical analysis should proceed alongside scientific advances in psychosis prediction.
Risk prediction for psychosis has advanced to the stage at which it could feasibly become a clinical reality. Neuroimaging biomarkers play a central role in many risk prediction models. Using such models to predict the likelihood of transition to psychosis in individuals known to be at high risk has the potential to meaningfully improve outcomes, principally through facilitating early intervention. However, this compelling benefit must be evaluated in light of the broader ethical ramifications of this prospective development in clinical practice. This paper advances ethical discussion in the field in two ways: firstly, through in-depth consideration of the distinctive implications of the clinical application of predictive tools; and, secondly, by evaluating the manner in which newer predictive models incorporating neuroimaging alter the ethical landscape. We outline the current state of the science of predictive testing for psychosis, with a particular focus on emerging neuroimaging biomarkers. We then proceed to ethical analysis employing the four principles of biomedical ethics as a conceptual framework. We conclude with a call for scientific advancement to proceed in tandem with ethical consideration, informed by empirical study of the views of high risk individuals and their families. This collaborative approach will help ensure that predictive testing progresses in an ethically acceptable manner that minimizes potential adverse effects and maximizes meaningful benefits for those at high risk of psychosis.
IntroductionPrescribing errors are a principal cause of preventable harm in healthcare. This study aims to establish a systematic approach to analysing prescribing-related adverse incident reports, ...in order to elucidate the characteristics and contributing factors of common prescribing errors and target multifaceted quality improvement initiatives.MethodsAll prescribing-related adverse incident reports submitted across one NHS board over 12 months were selected. Incidents involving commonly implicated drugs (involved in ≥10 incidents) underwent analysis to establish likely underlying causes using Reason’s Model of Accident Causation.Results330 prescribing-related adverse incident reports were identified. Commonly implicated drugs were insulin (10% of incidents), gentamicin (7%), co-amoxiclav (5%) and amoxicillin (5%). The most prevalent error types were prescribing amoxicillin when contraindicated due to allergy (5%); prescribing co-amoxiclav when contraindicated due to allergy (5%); prescribing the incorrect type of insulin (3%); and omitting to prescribe insulin (3%). Error-producing factors were identified in 86% of incidents involving commonly implicated drugs. 53% of incidents involved error-producing factors related to the working environment; 38% involved factors related to the healthcare team; and 37% involved factors related to the prescriber.DiscussionThis study establishes that systematic analysis of adverse incident reports can efficiently identify the characteristics and contributing factors of common prescribing errors, in a manner useful for targeting quality improvement. Furthermore, this study produced a number of salient findings. First, a narrow range of drugs were implicated in the majority of incidents. Second, a small number of error types were highly recurrent. Lastly, a range of contributing factors were evident, with those related to the working environment contributing to the majority of prescribing errors analysed.
Adequate differentiation or decidualization of endometrial stromal cells (ESC) is critical for successful pregnancy in humans and rodents. Here, we investigated the role of leukemia inhibitory factor ...(LIF) in human and murine decidualization. Ex vivo human (H) ESC decidualization was induced by estrogen (E, 10(-8) M) plus medroxyprogesterone acetate (MPA, 10(-7) M). Exogenous LIF (≥50 ng/ml) induced STAT3 phosphorylation in non-decidualized and decidualized HESC and enhanced E+MPA-induced decidualization (measured by PRL secretion, P<0.05). LIF mRNA in HESC was down-regulated by decidualization treatment (E+MPA) whereas LIF receptor (R) mRNA was up-regulated, suggesting that the decidualization stimulus 'primed' HESC for LIF action, but that factors not present in our in vitro model were required to induce LIF expression. Ex vivo first trimester decidual biopsies secreted >100 pg/mg G-CSF, IL6, IL8, and MCP1. Decidualized HESC secreted IL6, IL8, IL15 and MCP1. LIF (50 ng/ml) up-regulated IL6 and IL15 (P<0.05) secretion in decidualized HESC compared to 0.5 ng/ml LIF. In murine endometrium, LIF and LIFR immunolocalized to decidualized stromal cells on day 5 of gestation (day 0 = day of plug detection). Western blotting confirmed that LIF and the LIFR were up-regulated in intra-implantation sites compared to inter-implantation sites on Day 5 of gestation. To determine the role of LIF during in vivo murine decidualization, intra-peritoneal injections of a long-acting LIF antagonist (PEGLA; 900 or 1200 µg) were given just post-attachment, during the initiation of decidualization on day 4. PEGLA treatment reduced implantation site decidual area (P<0.05) and desmin staining immuno-intensity (P<0.05) compared to control on day 6 of gestation. This study demonstrated that LIF was an important regulator of decidualization in humans and mice and data provides insight into the processes underlying decidualization, which are important for understanding implantation and placentation.
Emergency department (ED) crowding results when available resources cannot meet the demand for emergency services. ED crowding has negative impacts on patients, health care workers, and the ...community. Primary considerations for reducing ED crowding include improving the quality of care, patient safety, patient experience, and the health of populations, as well as reducing the per capita cost of health care. Evaluating causes, effects, and seeking solutions to ED crowding can be done within a conceptual framework addressing input, throughput, and output factors. ED leaders must coordinate with hospital leadership, health system planners and policy decision makers, and those who provide pediatric care to address ED crowding. Proposed solutions in this policy statement promote the medical home and timely access to emergency care for children.
Personalised prediction models promise to enhance the speed, accuracy and objectivity of clinical decision-making in psychiatry in the near future. This editorial elucidates key ethical issues at ...stake in the real-world implementation of prediction models and sets out practical recommendations to begin to address these.
Inadequate or inappropriate implantation and placentation during the establishment of human pregnancy is thought to lead to first trimester miscarriage, placental insufficiency and other obstetric ...complications. To create the placental blood supply, specialized cells, the 'extravillous trophoblast' (EVT) invade through the differentiated uterine endometrium (the decidua) to engraft and remodel uterine spiral arteries. We hypothesized that decidual factors would regulate EVT function by altering the production of EVT membrane and secreted factors. We used a proteomics approach to identify EVT membrane and secreted proteins regulated by decidual cell factors. Human endometrial stromal cells were decidualized in vitro by treatment with estradiol (10(-8) M), medroxyprogesterone acetate (10(-7) M) and cAMP (0.5 mM) for 14 days. Conditioned media (CM) was collected on day 2 (non-decidualized CM) and 14 (decidualized CM) of treatment. Isolated primary EVT cultured on Matrigel™ were treated with media control, non-decidualized or decidualized CM for 16 h. EVT CM was fractionated for proteins <30 kDa using size-exclusion affinity nanoparticles (SEAN) before trypsin digestion and HPLC-MS/MS. 43 proteins produced by EVT were identified; 14 not previously known to be expressed in the placenta and 12 which had previously been associated with diseases of pregnancy including preeclampsia. Profilin 1, lysosome associated membrane glycoprotein 1 (LAMP1), dipeptidyl peptidase 1 (DPP1/cathepsin C) and annexin A2 expression by interstitial EVT in vivo was validated by immunhistochemistry. Decidual CM regulation in vitro was validated by western blotting: decidualized CM upregulated profilin 1 in EVT CM and non-decidualized CM upregulated annexin A2 in EVT CM and pro-DPP1 in EVT cell lysate. Here, non-decidualized factors induced protease expression by EVT suggesting that non-decidualized factors may induce a pro-inflammatory cascade. Preeclampsia is a pro-inflammatory condition. Overall, we have demonstrated the potential of a proteomics approach to identify novel proteins expressed by EVT and to uncover the mechanisms leading to disease states.
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