The term organizational health literacy (OHL) is a new concept that emerged to address the challenge of predominantly in patients with limited health literacy (HL). There is no consensus on how OHL can improve HL activities and health outcomes in healthcare organizations. In this study, a systematic review of the literature was conducted to understand the evidence for the effectiveness of OHL and its health outcome, and the facilitators and barriers that influence the implementation of OHL. A literature search was done using six databases, the gray literature method and reference hand searches. Thirteen potentially articles with data on 1254 health organizations were included. Eight self-assessment tools and ten OHL attributes have been identified. Eleven quality-improvement characteristics and 15 key barriers were reviewed. Evidence on the effectiveness of HL tools provides best practices and recommendations to enhance OHL capacities. Results indicated that shifting to a comprehensive OHL would likely be a complex process because HL is not usually integrated into the healthcare organization’s vision and strategic planning. Further development of OHL requires radical, simultaneous, and multiple changes. Thus, there is a need for the healthcare system to consider HL as an organizational priority, that is, be responsive.
12 December 2018 in Journal of Cellular Physiology
Background: Asphyxia is considered an important cause of morbidity and mortality in neonates. This condition can affect many vital organs including the central nervous system and may eventually lead to death or developmental disorders. Objectives: Considering the high prevalence of asphyxia and its adverse consequences, the present study was conducted to evaluate the risk factors for birth asphyxia and assess their correlation with prognosis in asphyxiated infants. Patients and Methods: This two-year follow-up cohort study was conducted on 260 infants (110 asphyxiated infants and 150 healthy neonates) at Mashhad Ghaem Hospital during 2007 - 2014. Data collection tools consisted of a researcher-designed questionnaire including maternal and neonatal information and clinical/laboratory test results. The subjects were followed-up, using Denver II test for 6, 12, 18, and 24 months (after discharge). For data analysis, t-test was performed, using SPSS version 16.5. P value ≤ 0.05 was considered statistically significant. Results: Of 260 neonates, 199 (76.5%) and 61 (23.5%) cases presented with normal neonatal outcomes and with abnormal neonatal outcomes (developmental delay), respectively. Variables such as the severity of asphyxia (P = 0.000), five-minute Apgar score (P = 0.015), need for ventilation (P = 0.000), and severity of acidosis at birth (P = 0.001) were the major prognostic factors in infants with asphyxia. Additionally, prognosis was significantly poorer in boys and infants with dystocia history (P = 0.000). Conclusions: Prevalence of risk factors for developmental delay including the severity of asphyxia need for mechanical ventilation, and severity of acidosis at birth, dystocia, and Apgar score were lower in surviving infants; therefore, controlling these risk factors may reduce asphyxia-associated complications. Keywords: Asphyxia; Hypoxic-Ischemia Encephalopathy; Risk Factors; Denver II Test; Neonatal
11 April 2012 in Journal of Nonparametric Statistics
Ramirez and Vidakovic [(2010), ‘Wavelet Density Estimation for Stratified Size-Biased Sample’, Journal of Statistical Planning and Inference, 140, 419–432] considered an estimator of the density function based on wavelets with independent stratified random variables from weighted distributions. They proved that it is L2-consistent. In this paper, we complete this result by determining the rate of convergence attained by a slightly modified version of their estimator (including an estimator of the normalisation parameters). Then, we explore the case when the random variables are negatively and positively associated within strata. The theory is illustrated with a simulation study.
About Me
Hassan Doosti is an expert of Mathematics and Statistics.
Hassan Doosti is an expert of Mathematics and Statistics.