130 research outputs found

    Mixed Bacterial Growth in Prenatal Urine Cultures; An Investigation into Prevalence, Contributory Factors and the Impact of education-based Interventions

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    PURPOSE: Undiagnosed urinary tract infections (UTIs) in pregnancy are associated with adverse perinatal outcome. Urine microbiology cultures reported as 'mixed bacterial growth' (MBG) frequently present a diagnostic dilemma for healthcare providers. We investigated external factors contributing to elevated rates of (MBG) within a large tertiary maternity centre in London, UK, and assessed the efficacy of health service interventions to mitigate these. DESCRIPTION: This prospective, observational study of asymptomatic pregnant women attending their first prenatal clinic appointment aimed to establish (i) the prevalence of MBG in routine prenatal urine microbiology cultures, (ii) the association between urine cultures and the duration to laboratory processing and (iii) ways in which MBG may be reduced in pregnancy. Specifically we assessed the impact of patient-clinician interaction and that of an education package on optimal urine sampling technique. ASSESSMENT: Among 212 women observed over 6 weeks, the negative, positive and MBG urine culture rates were 66%, 10% and 2% respectively. Shorter duration from urine sample collection to laboratory arrival correlated with higher rates of negative cultures. Urine samples arriving in the laboratory within 3 hours of collection were most likely to be reported as culture negative (74%), and were least likely to be reported as MBG (21%) or culture positive (6%), compared to samples arriving > 6 hours (71%, 14% and 14% respectively; P < 0.001). A midwifery education package effectively reduced rates of MBG (37% pre-intervention vs 19% post-intervention, RR 0.70, 95% CI 0.55 to 0.89). Women who did not receive verbal instructions prior to providing their sample had 5-fold higher rates of MBG (P < 0.001). CONCLUSION: As many as 24% of prenatal urine screening cultures are reported as MBG. Patient-midwife interaction before urine sample collection and rapid transfer of urine samples to the laboratory within 3 hours reduces the rate of MBG in prenatal urine cultures. Reinforcing this message through education may improve accuracy of test results

    Predictors of Time to Death After Terminal Withdrawal of Mechanical Ventilation in the ICU

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    Little information exists about the expected time to death after terminal withdrawal of mechanical ventilation. We sought to determine the independent predictors of time to death after withdrawal of mechanical ventilation. METHODS: We conducted a secondary analysis from a cluster randomized trial of an end-of-life care intervention. We studied 1,505 adult patients in 14 hospitals in Washington State who died within or shortly after discharge from an ICU following terminal withdrawal of mechanical ventilation (August 2003 to February 2008). Time to death and its predictors were abstracted from the patients' charts and death certificates. Predictors included demographics, proxies of severity of illness, life-sustaining therapies, and International Classification of Diseases, 9th ed., Clinical Modification codes. RESULTS: The median (interquartile range [IQR]) age of the cohort was 71 years (58-80 years), and 44% were women. The median (IQR) time to death after withdrawal of ventilation was 0.93 hours (0.25-5.5 hours). Using Cox regression, the independent predictors of a shorter time to death were nonwhite race (hazard ratio [HR], 1.17; 95% CI, 1.01-1.35), number of organ failures (per-organ HR, 1.11; 95% CI, 1.04-1.19), vasopressors (HR, 1.67; 95% CI, 1.49-1.88), IV fluids (HR, 1.16; 95% CI, 1.01-1.32), and surgical vs medical service (HR, 1.29; 95% CI, 1.06-1.56). Predictors of longer time to death were older age (per-decade HR, 0.95; 95% CI, 0.90-0.99) and female sex (HR, 0.86; 95% CI, 0.77-0.97). CONCLUSIONS: Time to death after withdrawal of mechanical ventilation varies widely, yet the majority of patients die within 24 hours. Subsequent validation of these predictors may help to inform family counseling at the end of life.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/85787/1/Cooke - Predictors of time to death after withdrawal.pd

    A consensus statement on when to start clean intermittent self‐catheterization: An untapped resource?

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    Background Clean intermittent self-catheterisation (CISC or ISC) is used by patients/carers to empty the bladder if needed. Sometimes the urethral lumen leading out of the bladder is blocked; sometimes, the bladder (detrusor) muscle itself or the autonomic motor nerves innervating the bladder are damaged, resulting in a failure of the detrusor muscle to work, leading to a failure of the bladder being able to empty adequately. Prior consensus as to the indications and timing of CISC has yet to be provided. This article aims to provide a multidisciplinary consensus view on this subject. Conclusion It is evident that every patient needs to be considered individually, bearing in mind the symptoms and investigations to be considered. We emphasise the importance of considering the term Bladder Voiding Efficiency (BVE). One group of patients who might find CISC helpful are those with a neurological disorder; these include spinal injury patients, multiple sclerosis, Parkinson's, and a condition called cauda equina. Sometimes bladder problems are treated with anticholinergics, and others may be treated with Botox. These may cause the bladder not to empty at all, which is good for leaks but needs self-catheterisation to empty the bladder. In the past, hospitals used a permanent catheter called an ‘indwelling’ or a ‘suprapubic’ catheter. These can have side effects, including infections, stones, and pain. For CISC, disposable catheters are the best option for patients as they come in different sizes and styles to provide individualised care. In conclusion, we would like hospitals to consider each patient separately and not use a general ‘one-size-fits-all’ bladder function for these patients

    The design of compassionate care

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    Aims and objectives To investigate the tension between individual and organisational responses to contemporary demands for compassionate interactions in health care. Background Health care is often said to need more compassion among its practitioners. However, this represents a rather simplistic view of the issue, situating the problem with individual practitioners rather than focusing on the overall design of care and healthcare organisations, which have often adopted a production-line approach. Design This is a position paper informed by a narrative literature review. Methods A search of the PubMed, Science Direct and CINAHL databases for the terms compassion, care and design was conducted in the research literature published from 2000 through to mid-2013. Results There is a relatively large literature on compassion in health care, where authors discuss the value of imbuing a variety of aspects of health services with compassion including nurses, other practitioners and, ultimately, among patients. This contrasts with the rather limited attention that compassionate practice has received in healthcare curricula and the lack of attention to how compassion is informed by organisational structures and processes. We discuss how making the clinic more welcoming for patients and promoting bidirectional compassion and compassion formation in nursing education can be part of an overall approach to the design of compassionate care. Conclusions We discuss a number of ways in which compassion can be enhanced through training, educational and organisational design, through exploiting the potential of brief opportunities for communication and through initiatives involving patients and service users, as well as practitioners and service leaders. Relevance to clinical practice The development of contemporary healthcare systems could usefully address the overall design of compassionate care rather than blame individual practitioners for a lack of compassion

    Exploring capability maturity models and relevant practices as solutions addressing information technology service offshoring project issues

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    This research investigated Capability Maturity Models (CMM) / Capability Maturity Model Integration (CMMI) best practices and their effects on managing and mitigating critical issues associated with offshore development. Using a web-based survey, data was collected from 451 Information Technology and software development firms in the US. The results of the analysis show that IT companies applying CMM/CMMI models have fewer issues associated with IT offshoring. When US IT companies utilizing and incorporating different practices from TSP and People-CMM into CMMI-DEV/SVC and CMMI-ACQ, they have fewer offshoring issues related to language barriers and cultural differences

    What is the empirical evidence that hospitals with higher-risk adjusted mortality rates provide poorer quality care? A systematic review of the literature

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    <p>Abstract</p> <p>Background</p> <p>Despite increasing interest and publication of risk-adjusted hospital mortality rates, the relationship with underlying quality of care remains unclear. We undertook a systematic review to ascertain the extent to which variations in risk-adjusted mortality rates were associated with differences in quality of care.</p> <p>Methods</p> <p>We identified studies in which risk-adjusted mortality and quality of care had been reported in more than one hospital. We adopted an iterative search strategy using three databases – Medline, HealthSTAR and CINAHL from 1966, 1975 and 1982 respectively. We identified potentially relevant studies on the basis of the title or abstract. We obtained these papers and included those which met our inclusion criteria.</p> <p>Results</p> <p>From an initial yield of 6,456 papers, 36 studies met the inclusion criteria. Several of these studies considered more than one process-versus-risk-adjusted mortality relationship. In total we found 51 such relationships in a widen range of clinical conditions using a variety of methods. A positive correlation between better quality of care and risk-adjusted mortality was found in under half the relationships (26/51 51%) but the remainder showed no correlation (16/51 31%) or a paradoxical correlation (9/51 18%).</p> <p>Conclusion</p> <p>The general notion that hospitals with higher risk-adjusted mortality have poorer quality of care is neither consistent nor reliable.</p

    Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170.

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    We analyzed 3,872 common genetic variants across the ESR1 locus (encoding estrogen receptor α) in 118,816 subjects from three international consortia. We found evidence for at least five independent causal variants, each associated with different phenotype sets, including estrogen receptor (ER(+) or ER(-)) and human ERBB2 (HER2(+) or HER2(-)) tumor subtypes, mammographic density and tumor grade. The best candidate causal variants for ER(-) tumors lie in four separate enhancer elements, and their risk alleles reduce expression of ESR1, RMND1 and CCDC170, whereas the risk alleles of the strongest candidates for the remaining independent causal variant disrupt a silencer element and putatively increase ESR1 and RMND1 expression.This is the author accepted manuscript. The final version is available from Nature Publishing Group via http://dx.doi.org/10.1038/ng.352

    Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

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    Copy number variants (CNVs) have been strongly implicated in the genetic etiology of schizophrenia (SCZ). However, genome-wide investigation of the contribution of CNV to risk has been hampered by limited sample sizes. We sought to address this obstacle by applying a centralized analysis pipeline to a SCZ cohort of 21,094 cases and 20,227 controls. A global enrichment of CNV burden was observed in cases (OR=1.11, P=5.7×10−15), which persisted after excluding loci implicated in previous studies (OR=1.07, P=1.7 ×10−6). CNV burden was enriched for genes associated with synaptic function (OR = 1.68, P = 2.8 ×10−11) and neurobehavioral phenotypes in mouse (OR = 1.18, P= 7.3 ×10−5). Genome-wide significant evidence was obtained for eight loci, including 1q21.1, 2p16.3 (NRXN1), 3q29, 7q11.2, 15q13.3, distal 16p11.2, proximal 16p11.2 and 22q11.2. Suggestive support was found for eight additional candidate susceptibility and protective loci, which consisted predominantly of CNVs mediated by non-allelic homologous recombination

    No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study

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    It is well known that inbreeding increases the risk of recessive monogenic diseases, but it is less certain whether it contributes to the etiology of complex diseases such as schizophrenia. One way to estimate the effects of inbreeding is to examine the association between disease diagnosis and genome-wide autozygosity estimated using runs of homozygosity (ROH) in genome-wide single nucleotide polymorphism arrays. Using data for schizophrenia from the Psychiatric Genomics Consortium (n = 21,868), Keller et al. (2012) estimated that the odds of developing schizophrenia increased by approximately 17% for every additional percent of the genome that is autozygous (β = 16.1, CI(β) = [6.93, 25.7], Z = 3.44, p = 0.0006). Here we describe replication results from 22 independent schizophrenia case-control datasets from the Psychiatric Genomics Consortium (n = 39,830). Using the same ROH calling thresholds and procedures as Keller et al. (2012), we were unable to replicate the significant association between ROH burden and schizophrenia in the independent PGC phase II data, although the effect was in the predicted direction, and the combined (original + replication) dataset yielded an attenuated but significant relationship between Froh and schizophrenia (β = 4.86,CI(β) = [0.90,8.83],Z = 2.40,p = 0.02). Since Keller et al. (2012), several studies reported inconsistent association of ROH burden with complex traits, particularly in case-control data. These conflicting results might suggest that the effects of autozygosity are confounded by various factors, such as socioeconomic status, education, urbanicity, and religiosity, which may be associated with both real inbreeding and the outcome measures of interest
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