100 research outputs found
An assessment of job satisfaction among primary health care workers in Rivers state, Nigeria
Background: Primary Health Care (PHC) is considered to be a more appropriate approach to health, and the health system, improving access to health services, as well as disease prevention. The availability and efficiency of PHC is a key determinant of the overall health and wellbeing of a people, and a useful yardstick for assessment of a nation's health system. Hence, PHC workforce are at the vanguard of essential health service delivery through direct contact with grassroots community members, within and without the health facilities, for provision of preventive, treatment, referral and follow-up health services. Poor motivation and non-retention of PHC workers weakens the health systems' ability to meet the above goals.Aim: To assessed the job satisfaction of primary health care workers in Rivers State, Nigeria.Methodology: The study utilized the descriptive cross-sectional design and the mixed methods of data collection. The quantitative method used semi-structured, pretested, self- administered questionnaires to obtain information on socio-demographic and occupational characteristics, job satisfaction, motivation, frustration, retention potentials and awareness of existing policies and incentives of respondents. The respondents which included Community Health Extension Workers (CHEW), Community Health Officers (CHO), nurses and doctors in Primary health facilities in the State, were selected using the multistage sampling method. Quantitative data was analyzed using SPSS version 20.0 software and results presented using tables and charts.Results: A total of 378 respondents participated in the study. Nurses constituted 47.6% of the respondents, with equal proportions of CHEWs and CHOs [23.8% and 23.8% respectively] and 4.8% were doctors. The mean age of the respondents was39.8±8.1 years; with 89.7% females and 10.3% males. Of all the respondents, 79.6% were married,82% were senior cadre staff and 78.8% were Pentecostal Christians. Ikwerre, Ogoni and Kalabari had the highest distribution in ethnicity (19.3%, 14.8% and14.0% respectively). Among the respondents, 75.7% had worked for less than 7 years in their current facility while 82.9% had worked for same duration in their previous facility. Almost two third 240 (63.5%) reported that their workplace was far from their residence while 12 (3.2%) stated that it was very close. A high proportion of the respondents (78.3%) were satisfied with the general working condition in their Primary Health Care facility while 21.7% of the respondents were satisfied with the pay and promotion potentials of their work place. Notably, while 97.9% of the respondents were satisfied with their work relationships, 57.7% were satisfied with the use of their skills and abilities at their workplace and 88.1% of the respondents were satisfied with their work activities. These gave a good job satisfaction score for 88.9% of the respondents. Profession, community, distance from work and duration of work were significant factors (p < 0.05).Conclusion: This study concluded that age, marital status, profession, and location of health facility, duration of work played vital roles in level of satisfaction of PHC workers. Hence, offering opportunities for professional advancement through training of the healthcare workers though already included in the Nigerian National Healthcare policy, should be efficiently implemented and monitored by the government and other relevant stakeholders to improve job satisfaction and in turn quality health service delivery.Keywords: Job Satisfaction, Healthcare Worker
The role of ALOX5AP, LTA4H and LTB4R polymorphisms in determining baseline lung function and COPD susceptibility in UK smokers
<p>Abstract</p> <p>Background</p> <p>We have previously shown evidence that polymorphisms within genes controlling leukotriene B<sub>4 </sub>(LTB<sub>4</sub>) production (<it>ALOX5AP </it>and <it>LTA4H</it>) are associated with asthma susceptibility in children. Evidence also suggests a potential role of LTB<sub>4 </sub>in COPD disease mechanisms including recruitment of neutrophils to the lung. The aim of the current study was to see if these SNPs and those spanning the receptor genes for LTB<sub>4 </sub>(<it>LTB4R1 </it>and <it>LTB4R2</it>) influence baseline lung function and COPD susceptibility/severity in smokers.</p> <p>Methods</p> <p>Eight <it>ALOX5AP</it>, six <it>LTA4H </it>and six <it>LTB4R </it>single nucleotide polymorphisms (SNPs) were genotyped in a UK Smoking Cohort (n = 992). Association with baseline lung function (FEV<sub>1 </sub>and FEV<sub>1</sub>/FVC ratio) was determined by linear regression. Logistic regression was used to compare smoking controls (n = 176) with spirometry-defined COPD cases (n = 599) and to more severe COPD cases (GOLD stage 3 and 4, n = 389).</p> <p>Results</p> <p>No association with <it>ALOX5AP</it>, <it>LTA4H </it>or <it>LTB4R </it>survived correction for multiple testing. However, we showed modest association with <it>LTA4H </it>rs1978331C (intron 11) with increased FEV<sub>1 </sub>(p = 0.029) and with increased FEV<sub>1</sub>/FVC ratio (p = 0.020).</p> <p>Conclusions</p> <p>These data suggest that polymorphisms spanning <it>ALOX5AP</it>, <it>LTA4H </it>and the <it>LTB4R </it>locus are not major determinants of baseline lung function in smokers, but provide tentative evidence for <it>LTA4H </it>rs1978331C (intron 11) in determining baseline FEV<sub>1 </sub>and FEV<sub>1</sub>/FVC ratio in Caucasian Smokers in addition to our previously identified role in asthma susceptibility.</p
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Convective self-aggregation in numerical simulations: a review
Organized convection in the Tropics occurs across a range of spatial and temporal scales and strongly influences cloud cover and humidity. One mode of organization found is “self-aggregation”, in which moist convection spontaneously organizes into one or several isolated clusters despite spatially homogeneous boundary conditions and forcing. Self-aggregation is driven by interactions between clouds, moisture, radiation, surface fluxes, and circulation, and occurs in a wide variety of idealized simulations of radiative-convective equilibrium. Here we provide a review of convective self-aggregation in numerical simulations, including its character, causes, and effects. We describe the evolution of self-aggregation including its time and length scales and the physical mechanisms leading to its triggering and maintenance, and we also discuss possible links to climate and climate change
Observing convective aggregation
Convective self-aggregation, the spontaneous organization of initially scattered convection into isolated convective clusters despite spatially homogeneous boundary conditions and forcing, was first recognized and studied in idealized numerical simulations. While there is a rich history of observational work on convective clustering and organization, there have been only a few studies that have analyzed observations to look specifically for processes related to self-aggregation in models. Here we review observational work in both of these categories and motivate the need for more of this work. We acknowledge that self-aggregation may appear to be far-removed from observed convective organization in terms of time scales, initial conditions, initiation processes, and mean state extremes, but we argue that these differences vary greatly across the diverse range of model simulations in the literature and that these comparisons are already offering important insights into real tropical phenomena. Some preliminary new findings are presented, including results showing that a self-aggregation simulation with square geometry has too broad a distribution of humidity and is too dry in the driest regions when compared with radiosonde records from Nauru, while an elongated channel simulation has realistic representations of atmospheric humidity and its variability. We discuss recent work increasing our understanding of how organized convection and climate change may interact, and how model discrepancies related to this question are prompting interest in observational comparisons. We also propose possible future directions for observational work related to convective aggregation, including novel satellite approaches and a ground-based observational network
PIK3CA mutations are common in lobular carcinoma in situ, but are not a biomarker of progression
Sample and data collection were funded by Cancer Research UK. Analysis was funded by Breast Cancer Now, the Rosetrees Trust, Guys & St Thomas’ Charity (CanHelp) and the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy’s and St. Thomas’ NHS Foundation Trust and King’s College London
The importance of the cellular stress response in the pathogenesis and treatment of type 2 diabetes
Organisms have evolved to survive rigorous environments and are not prepared to thrive in a world of caloric excess and sedentary behavior. A realization that physical exercise (or lack of it) plays a pivotal role in both the pathogenesis and therapy of type 2 diabetes mellitus (t2DM) has led to the provocative concept of therapeutic exercise mimetics. A decade ago, we attempted to simulate the beneficial effects of exercise by treating t2DM patients with 3 weeks of daily hyperthermia, induced by hot tub immersion. The short-term intervention had remarkable success, with a 1 % drop in HbA1, a trend toward weight loss, and improvement in diabetic neuropathic symptoms. An explanation for the beneficial effects of exercise and hyperthermia centers upon their ability to induce the cellular stress response (the heat shock response) and restore cellular homeostasis. Impaired stress response precedes major metabolic defects associated with t2DM and may be a near seminal event in the pathogenesis of the disease, tipping the balance from health into disease. Heat shock protein inducers share metabolic pathways associated with exercise with activation of AMPK, PGC1-a, and sirtuins. Diabetic therapies that induce the stress response, whether via heat, bioactive compounds, or genetic manipulation, improve or prevent all of the morbidities and comorbidities associated with the disease. The agents reduce insulin resistance, inflammatory cytokines, visceral adiposity, and body weight while increasing mitochondrial activity, normalizing membrane structure and lipid composition, and preserving organ function. Therapies restoring the stress response can re-tip the balance from disease into health and address the multifaceted defects associated with the disease
Surviving Sepsis Campaign: International guidelines for management of severe sepsis and septic shock: 2008
SCOPUS: ar.jinfo:eu-repo/semantics/publishe
Comparison of immunohistochemistry with PCR for assessment of ER, PR, and Ki-67 and prediction of pathological complete response in breast cancer
Background: Proliferation may predict response to neoadjuvant therapy of breast cancer and is commonly assessed by manual scoring of slides stained by immunohistochemistry (IHC) for Ki-67 similar to ER and PgR. This method carries significant intra- and inter-observer variability. Automatic scoring of Ki-67 with digital image analysis (qIHC) or assessment of MKI67 gene expression with RT-qPCR may improve diagnostic accuracy. Methods: Ki-67 IHC visual assessment was compared to the IHC nuclear tool (AperioTM) on core biopsies from a randomized neoadjuvant clinical trial. Expression of ESR1, PGR and MKI67 by RT-qPCR was performed on RNA extracted from the same formalin-fixed paraffin-embedded tissue. Concordance between the three methods (vIHC, qIHC and RT-qPCR) was assessed for all 3 markers. The potential of Ki-67 IHC and RT-qPCR to predict pathological complete response (pCR) was evaluated using ROC analysis and non-parametric Mann-Whitney Test. Results: Correlation between methods (qIHC versus RT-qPCR) was high for ER and PgR (spearman´s r = 0.82, p < 0.0001 and r = 0.86, p < 0.0001, respectively) resulting in high levels of concordance using predefined cut-offs. When comparing qIHC of ER and PgR with RT-qPCR of ESR1 and PGR the overall agreement was 96.6 and 91.4%, respectively, while overall agreement of visual IHC with RT-qPCR was slightly lower for ER/ESR1 and PR/PGR (91.2 and 92.9%, respectively). In contrast, only a moderate correlation was observed between qIHC and RT-qPCR continuous data for Ki-67/MKI67 (Spearman’s r = 0.50, p = 0.0001). Up to now no predictive cut-off for Ki-67 assessment by IHC has been established to predict response to neoadjuvant chemotherapy. Setting the desired sensitivity at 100%, specificity for the prediction of pCR (ypT0ypN0) was significantly higher for mRNA than for protein (68.9% vs. 22.2%). Moreover, the proliferation levels in patients achieving a pCR versus not differed significantly using MKI67 RNA expression (Mann-Whitney p = 0.002), but not with qIHC of Ki-67 (Mann-Whitney p = 0.097) or vIHC of Ki-67 (p = 0.131). Conclusion: Digital image analysis can successfully be implemented for assessing ER, PR and Ki-67. IHC for ER and PR reveals high concordance with RT-qPCR. However, RT-qPCR displays a broader dynamic range and higher sensitivity than IHC. Moreover, correlation between Ki-67 qIHC and RT-qPCR is only moderate and RT-qPCR with MammaTyper® outperforms qIHC in predicting pCR. Both methods yield improvements to error-prone manual scoring of Ki-67. However, RT-qPCR was significantly more specific
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