This result was not significantly different between medical doctors and medical students, residents and medical specialists or level of working experience. Using CDSS improved results significantly compared to conventional tools (diagnosis 57.1%; treatment recommendation 40.5%; p  less then  0,01). Processing time was not different between the use of CDSS and conventional information tools. CDSS users based their decision making on their assigned information tool more than users of conventional tools (73.8% vs. 48.0%; p  less then  0.01). Using CDSS improved the confidence of participants in their recommendation significantly compared to conventional tools (p  less then  0.01). CONCLUSIONS Our study suggests that medical professionals require information tools in diagnosing and treating a simple case of upper UTI correctly. CDSS appears to be superior to conventional tools as an information source.BACKGROUND Competing priorities in health systems necessitate difficult choices on which health actions and investments to fund decisions that are complex, value-based, and highly political. In light of the centrality of universal health coverage (UHC) in driving current health policy, we sought to examine the value interests that influence agenda setting in the country's health financing space. Given the plurality of Kenya's health policy levers, we aimed to examine how the perspectives of stakeholders involved in policy decision-making and implementation shape discussions on health financing within the UHC framework. METHODS A series of in-depth key informant interviews were conducted at national and county level (n = 13) between April and May 2018. Final thematic analysis using the Framework Method was conducted to identify similarities and differences amongst stakeholders on the challenges hindering Kenya's achievement of UHC in terms of its the optimisation of health service coverage; expansion of the poS This study adds to existing knowledge of UHC in Kenya by contextualising the competing and evolving priorities that should be taken into consideration as the country strategises over its UHC process. We suggest that clear policy action is required from national government and county governments in order to develop a logical and consistent approach towards UHC in Kenya.BACKGROUND Application of whole genome sequencing (WGS) enables identification of non-coding variants that play a phenotype-modifying role and are undetectable by exome sequencing. Recently, non-coding regulatory single nucleotide variants (SNVs) have been reported in patients with lethal lung developmental disorders (LLDDs) or congenital scoliosis with recurrent copy-number variant (CNV) deletions at 17q23.1q23.2 or 16p11.2, respectively. CASE PRESENTATION Here, we report a deceased newborn with pulmonary hypertension and pulmonary interstitial emphysema with features suggestive of pulmonary hypoplasia, resulting in respiratory failure and neonatal death soon after birth. Using the array comparative genomic hybridization and WGS, two heterozygous recurrent CNV deletions ~ 2.2 Mb on 17q23.1q23.2, involving TBX4, and ~ 600 kb on 16p11.2, involving TBX6, that both arose de novo on maternal chromosomes were identified. In the predicted lung-specific enhancer upstream to TBX4, we have detected seven novel putative regulatory non-coding SNVs that were absent in 13 control individuals with the overlapping deletions but without any structural lung anomalies. CONCLUSIONS Our findings further support a recently reported model of complex compound inheritance of LLDD in which both non-coding and coding heterozygous TBX4 variants contribute to the lung phenotype. In addition, this is the first report of a patient with combined de novo heterozygous recurrent 17q23.1q23.2 and 16p11.2 CNV deletions.BACKGROUND The gap between knowledge and practice is a global issue, which increases wasteful spending in healthcare. There are several models and frameworks to address this gap and try to solve the challenge. Promoting Action on Research Implementation in Health Services (PARIHS) framework highlights the interaction of three main elements evidence, context and facilitation, to implement research into practice, successfully. This framework can use as a tool to evaluate the situation and guide the changing. This study conducted to explain the status of knowledge implementation in Iran's healthcare management system. METHODS This qualitative study was done by using a directive content analysis approach through conducting in-depth, structured interviews with 15 health managers based on the PARIHS framework.  https://www.selleckchem.com/products/ptc-209.html  Guiding questions were based on the three main elements of the framework evidence, context and facilitation. The content of the interviews entered into the Qualitative Data Analysis software (MAXQDA version 10) and, then, analyzed. RESULTS The most common source of evidence used by managers for decision-making was local information and previous experience. Evaluation more emphasized compared to other sub-elements of context, i.e. culture and leadership. In terms of facilitation, performing tasks by others was the dominant opinion. CONCLUSION Our results showed that managers in the healthcare system of Iran use their own and other manager's experience and the local information for decision-making and have no ideas about facilitation.BACKGROUND Results-Based Financing (RBF) has proliferated in the health sectors of low and middle income countries, especially those which are fragile or conflict-affected, and has been presented by some as a way of reforming and strengthening strategic purchasing. However, few if any studies have empirically and systematically examined how RBF impacts on health care purchasing. This article examines this question in the context of Zimbabwe's national RBF programme. METHODS The article is based on a documentary review, including 60 documents from 2008 to 2018, and 40 key informant (KI) interviews conducted with international, national and district level stakeholders in early 2018 in Zimbabwe. Interviews and analysis of both datasets followed an existing framework for strategic purchasing, adapted to reflect changes over. RESULTS We find that some functions, such as assessing service infrastructure gaps, are unaffected by RBF, while others, such as mobilising resources, are partially affected, as RBF has focused on one package of care (maternal and child health services) within the wider essential health care, and has contributed important but marginal costs.