9 research outputs found
HOTEL INDUSTRY COMPETITIVENESS IN COVID 19 PANDEMIC ENVIRONMENT IN KENYA: HOW TECHNOLOGICALLY READY ARE THE HOTELS?
Since December 2019, the COVID-19 pandemic has had a devastating impact on te totel industry leading to deep losses among industry players and forcing some to shut down altogether. For those that would survive the crisis, their competitiveness could be at risk unless they demonstrate strategic readiness. The competitiveness found in modern organizations is, however, increasingly determined by the strategic readiness or capability of it assets, notably technology. However, the strategic readiness of the hotel industry needed to be established. Therefore, this paper explores the strategic teachnology readiness of the star-rated hotels in Kenya for competitiveness in the Covid 19 pandemic environment. The paper is guided by the Chamberlain's theory of strategy. A descriptive cross sectional survey design targeting 138 star-rated hotels in the country selected through systematic random sampling. Data was collected using questionnaires and interview schedules. Qualitative data was analyzed using content anaysis with the aid of Nvivo software while quantitative data was analyzed using both ddescriptive and inferential statistical analysis with the aid of SPSS version 24.0. Specifically, the study used the bivariate regression model to assess the relationship between the variables. The study found that technology readiness significantly influenced the competitiveness of star-rated hotels in the Covid 19 pandemic environment in Kenya. There is need for the hotels to adopt a more proacticve approach in setting their technological systems for any eventualities as this will be less expensive and enable their users to be more acquainted with the systems in advance.
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International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways.
Primary biliary cirrhosis (PBC) is a classical autoimmune liver disease for which effective immunomodulatory therapy is lacking. Here we perform meta-analyses of discovery data sets from genome-wide association studies of European subjects (n=2,764 cases and 10,475 controls) followed by validation genotyping in an independent cohort (n=3,716 cases and 4,261 controls). We discover and validate six previously unknown risk loci for PBC (Pcombined<5 × 10(-8)) and used pathway analysis to identify JAK-STAT/IL12/IL27 signalling and cytokine-cytokine pathways, for which relevant therapies exist
International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways
Innovative Healthcare Financing and Equity through Community Based Health Insurance Schemes (CBHHIS) In Kenya
A Dissertation Report submitted to the Chandaria School of Business in Partial Fulfillment of the Requirement for the Degree of Doctorate in Business Administration (DBA)The purpose of this study was to examine innovative healthcare financing and equity through CBHIs in Kenya. Particularly, the study explored the effect of the enrolment, mix of contributions; risk pooling, strategic purchasing and the moderating effect of government stewardship on equity in healthcare in Kenyan CBHIs. Out of the 115 CBHIs that are registered with Kenya Community Based Health Financing Association, data was collected from a sample of 79 CBHIs which had complete and consistent data. Responses were sought from four members of each CBHIs management team. Data was collected by use of questionnaires and data collection sheets for secondary data. 224 usable questionnaires were collected, representing 71% percent response rate. Data was cleaned and analyzed using Excel, SPSS version 20 and SmartPLS version 3. The study used descriptive statistics, factor analysis, path analysis and multivariate regression analysis in structural modeling equation (SEM) to investigate the relationship among variables and measure the strength and direction of relationships between constructs.
Empirical results revealed that there exist a positive relationship between enrolment in
CBHIs and equity in healthcare in Kenya, a negative relationship between mix of
contributions in CBHIs and equity in healthcare in Kenya, positive relationship between risk pooling in CBHIs and equity in healthcare in Kenya and positive relationship between
strategic purchasing in CBHIs and equity in healthcare in Kenya. Government stewardship
has a positive influence on the relationship between enrolment and strategic and equity in
healthcare.
The major conclusion drawn from the study is that CBHIs stimulates enrolment by focusing on social capital and stimulating willingness to pay in excluded segments of the population.The current mix of contributions in CBHIs does not offer an optimal mix of funds necessary for increased access to care and financial risk protection for precluded groups. The study recommends that for realization of equity goals in the healthcare in Kenya government and sectoral partners should define the place of CBHIs with the national health policy by enacting the requisite legal and regulatory framework to guide CBHIs administrative and fiscal structures. The government should also encourage the players in health financing to consolidate the pooled funds to enhance risk equalization
Colonization Density of the Upper Respiratory Tract as a Predictor of Pneumonia—Haemophilus influenzae, Moraxella catarrhalis, Staphylococcus aureus, and Pneumocystis jirovecii
Pretreatment prediction of response to ursodeoxycholic acid in primary biliary cholangitis: development and validation of the UDCA Response Score
Background: Treatment guidelines recommend a stepwise approach to primary biliary cholangitis: all patients begin treatment with ursodeoxycholic acid (UDCA) monotherapy and those with an inadequate biochemical response after 12 months are subsequently considered for second-line therapies. However, as a result, patients at the highest risk can wait the longest for effective treatment. We determined whether UDCA response can be accurately predicted using pretreatment clinical parameters. Methods: We did logistic regression analysis of pretreatment variables in a discovery cohort of patients in the UK with primary biliary cholangitis to derive the best-fitting model of UDCA response, defined as alkaline phosphatase less than 1·67 times the upper limit of normal (ULN), measured after 12 months of treatment with UDCA. We validated the model in an external cohort of patients with primary biliary cholangitis and treated with UDCA in Italy. Additionally, we assessed correlations between model predictions and key histological features, such as biliary injury and fibrosis, on liver biopsy samples. Findings: 2703 participants diagnosed with primary biliary cholangitis between Jan 1, 1998, and May 31, 2015, were included in the UK-PBC cohort for derivation of the model. The following pretreatment parameters were associated with lower probability of UDCA response: higher alkaline phosphatase concentration (p<0·0001), higher total bilirubin concentration (p=0·0003), lower aminotransferase concentration (p=0·0012), younger age (p<0·0001), longer interval from diagnosis to the start of UDCA treatment (treatment time lag, p<0·0001), and worsening of alkaline phosphatase concentration from diagnosis (p<0·0001). Based on these variables, we derived a predictive score of UDCA response. In the external validation cohort, 460 patients diagnosed with primary biliary cholangitis were treated with UDCA, with follow-up data until May 31, 2016. In this validation cohort, the area under the receiver operating characteristic curve for the score was 0·83 (95% CI 0·79–0·87). In 20 liver biopsy samples from patients with primary biliary cholangitis, the UDCA response score was associated with ductular reaction (r=–0·556, p=0·0130) and intermediate hepatocytes (probability of response was 0·90 if intermediate hepatocytes were absent vs 0·51 if present). Interpretation: We have derived and externally validated a model based on pretreatment variables that accurately predicts UDCA response. Association with histological features provides face validity. This model provides a basis to explore alternative approaches to treatment stratification in patients with primary biliary cholangitis. Funding: UK Medical Research Council and University of Milan-Bicocca
Pretreatment prediction of response to ursodeoxycholic acid in primary biliary cholangitis: development and validation of the UDCA Response Score.
BACKGROUND
Treatment guidelines recommend a stepwise approach to primary biliary cholangitis: all patients begin treatment with ursodeoxycholic acid (UDCA) monotherapy and those with an inadequate biochemical response after 12 months are subsequently considered for second-line therapies. However, as a result, patients at the highest risk can wait the longest for effective treatment. We determined whether UDCA response can be accurately predicted using pretreatment clinical parameters.
METHODS
We did logistic regression analysis of pretreatment variables in a discovery cohort of patients in the UK with primary biliary cholangitis to derive the best-fitting model of UDCA response, defined as alkaline phosphatase less than 1·67 times the upper limit of normal (ULN), measured after 12 months of treatment with UDCA. We validated the model in an external cohort of patients with primary biliary cholangitis and treated with UDCA in Italy. Additionally, we assessed correlations between model predictions and key histological features, such as biliary injury and fibrosis, on liver biopsy samples.
FINDINGS
2703 participants diagnosed with primary biliary cholangitis between Jan 1, 1998, and May 31, 2015, were included in the UK-PBC cohort for derivation of the model. The following pretreatment parameters were associated with lower probability of UDCA response: higher alkaline phosphatase concentration (p<0·0001), higher total bilirubin concentration (p=0·0003), lower aminotransferase concentration (p=0·0012), younger age (p<0·0001), longer interval from diagnosis to the start of UDCA treatment (treatment time lag, p<0·0001), and worsening of alkaline phosphatase concentration from diagnosis (p<0·0001). Based on these variables, we derived a predictive score of UDCA response. In the external validation cohort, 460 patients diagnosed with primary biliary cholangitis were treated with UDCA, with follow-up data until May 31, 2016. In this validation cohort, the area under the receiver operating characteristic curve for the score was 0·83 (95% CI 0·79-0·87). In 20 liver biopsy samples from patients with primary biliary cholangitis, the UDCA response score was associated with ductular reaction (r=-0·556, p=0·0130) and intermediate hepatocytes (probability of response was 0·90 if intermediate hepatocytes were absent vs 0·51 if present).
INTERPRETATION
We have derived and externally validated a model based on pretreatment variables that accurately predicts UDCA response. Association with histological features provides face validity. This model provides a basis to explore alternative approaches to treatment stratification in patients with primary biliary cholangitis.
FUNDING
UK Medical Research Council and University of Milan-Bicocca
Pretreatment prediction of response to ursodeoxycholic acid in primary biliary cholangitis: development and validation of the UDCA Response Score.
BACKGROUND: Treatment guidelines recommend a stepwise approach to primary biliary cholangitis: all patients begin treatment with ursodeoxycholic acid (UDCA) monotherapy and those with an inadequate biochemical response after 12 months are subsequently considered for second-line therapies. However, as a result, patients at the highest risk can wait the longest for effective treatment. We determined whether UDCA response can be accurately predicted using pretreatment clinical parameters. METHODS: We did logistic regression analysis of pretreatment variables in a discovery cohort of patients in the UK with primary biliary cholangitis to derive the best-fitting model of UDCA response, defined as alkaline phosphatase less than 1·67 times the upper limit of normal (ULN), measured after 12 months of treatment with UDCA. We validated the model in an external cohort of patients with primary biliary cholangitis and treated with UDCA in Italy. Additionally, we assessed correlations between model predictions and key histological features, such as biliary injury and fibrosis, on liver biopsy samples. FINDINGS: 2703 participants diagnosed with primary biliary cholangitis between Jan 1, 1998, and May 31, 2015, were included in the UK-PBC cohort for derivation of the model. The following pretreatment parameters were associated with lower probability of UDCA response: higher alkaline phosphatase concentration (p<0·0001), higher total bilirubin concentration (p=0·0003), lower aminotransferase concentration (p=0·0012), younger age (p<0·0001), longer interval from diagnosis to the start of UDCA treatment (treatment time lag, p<0·0001), and worsening of alkaline phosphatase concentration from diagnosis (p<0·0001). Based on these variables, we derived a predictive score of UDCA response. In the external validation cohort, 460 patients diagnosed with primary biliary cholangitis were treated with UDCA, with follow-up data until May 31, 2016. In this validation cohort, the area under the receiver operating characteristic curve for the score was 0·83 (95% CI 0·79-0·87). In 20 liver biopsy samples from patients with primary biliary cholangitis, the UDCA response score was associated with ductular reaction (r=-0·556, p=0·0130) and intermediate hepatocytes (probability of response was 0·90 if intermediate hepatocytes were absent vs 0·51 if present). INTERPRETATION: We have derived and externally validated a model based on pretreatment variables that accurately predicts UDCA response. Association with histological features provides face validity. This model provides a basis to explore alternative approaches to treatment stratification in patients with primary biliary cholangitis. FUNDING: UK Medical Research Council and University of Milan-Bicocca
X Chromosome Contribution to the Genetic Architecture of Primary Biliary Cholangitis.
BACKGROUND & AIMS: Genome-wide association studies in primary biliary cholangitis (PBC) have failed to find X chromosome (chrX) variants associated with the disease. Here, we specifically explore the chrX contribution to PBC, a sexually dimorphic complex autoimmune disease. METHODS: We performed a chrX-wide association study, including genotype data from 5 genome-wide association studies (from Italy, United Kingdom, Canada, China, and Japan; 5244 case patients and 11,875 control individuals). RESULTS: Single-marker association analyses found approximately 100 loci displaying P < 5 × 10(-4), with the most significant being a signal within the OTUD5 gene (rs3027490; P = 4.80 × 10(-6); odds ratio [OR], 1.39; 95% confidence interval [CI], 1.028-1.88; Japanese cohort). Although the transethnic meta-analysis evidenced only a suggestive signal (rs2239452, mapping within the PIM2 gene; OR, 1.17; 95% CI, 1.09-1.26; P = 9.93 × 10(-8)), the population-specific meta-analysis showed a genome-wide significant locus in East Asian individuals pointing to the same region (rs7059064, mapping within the GRIPAP1 gene; P = 6.2 × 10(-9); OR, 1.33; 95% CI, 1.21-1.46). Indeed, rs7059064 tags a unique linkage disequilibrium block including 7 genes: TIMM17B, PQBP1, PIM2, SLC35A2, OTUD5, KCND1, and GRIPAP1, as well as a superenhancer (GH0XJ048933 within OTUD5) targeting all these genes. GH0XJ048933 is also predicted to target FOXP3, the main T-regulatory cell lineage specification factor. Consistently, OTUD5 and FOXP3 RNA levels were up-regulated in PBC case patients (1.75- and 1.64-fold, respectively). CONCLUSIONS: This work represents the first comprehensive study, to our knowledge, of the chrX contribution to the genetics of an autoimmune liver disease and shows a novel PBC-related genome-wide significant locus.The article is available via Open Access. Click on the 'Additional link' above to access the full-text.Published version, accepted versio