16 resultados para medication-related problems

em DigitalCommons@The Texas Medical Center


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BACKGROUND: Adults use the Internet for weight loss information, sometimes by participating in discussion forums. Our purpose was to analyze the quality of advice exchanged on these forums. METHODS: This was a retrospective analysis of messages posted to 18 Internet weight loss forums during 1 month in 2006. Advice was evaluated for congruence with clinical guidelines; potential for causing harm; and subsequent correction when it was contradictory to guidelines (erroneous) or potentially harmful. Message- and forum-specific characteristics were evaluated as predictors of advice quality and self-correction. RESULTS: Of 3368 initial messages, 266 (7.9%) were requests for advice. Of 654 provisions of advice, 56 (8.6%) were erroneous and 19 of these 56 (34%) were subsequently corrected. Forty-three (6.6%) provisions of advice were harmful, and 12 of these 43 (28%) were subsequently corrected. Messages from low-activity forums (fewer messages) were more likely than those from high-activity forums to be erroneous (10.6% vs 2.4%, P < .001) or harmful (8.4% vs 1.2%, P < .001). In high-activity forums, 2 of 4 (50%) erroneous provisions of advice and 2 of 2 (100%) potentially harmful provisions of advice were corrected by subsequent postings. Compared with general weight loss advice, medication-related advice was more likely to be erroneous (P = .02) or harmful (P = .01). CONCLUSIONS: Most advice posted on highly active Internet weight loss forums is not erroneous or harmful. However, clinical and research strategies are needed to address the quality of medication-related advice.

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BACKGROUND: Adults use the Internet for weight loss information, sometimes by participating in discussion forums. Our purpose was to analyze the quality of advice exchanged on these forums. METHODS: This was a retrospective analysis of messages posted to 18 Internet weight loss forums during 1 month in 2006. Advice was evaluated for congruence with clinical guidelines; potential for causing harm; and subsequent correction when it was contradictory to guidelines (erroneous) or potentially harmful. Message- and forum-specific characteristics were evaluated as predictors of advice quality and self-correction. RESULTS: Of 3368 initial messages, 266 (7.9%) were requests for advice. Of 654 provisions of advice, 56 (8.6%) were erroneous and 19 of these 56 (34%) were subsequently corrected. Forty-three (6.6%) provisions of advice were harmful, and 12 of these 43 (28%) were subsequently corrected. Messages from low-activity forums (fewer messages) were more likely than those from high-activity forums to be erroneous (10.6% vs 2.4%, P < .001) or harmful (8.4% vs 1.2%, P < .001). In high-activity forums, 2 of 4 (50%) erroneous provisions of advice and 2 of 2 (100%) potentially harmful provisions of advice were corrected by subsequent postings. Compared with general weight loss advice, medication-related advice was more likely to be erroneous (P = .02) or harmful (P = .01). CONCLUSIONS: Most advice posted on highly active Internet weight loss forums is not erroneous or harmful. However, clinical and research strategies are needed to address the quality of medication-related advice.

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This study examined the level of patient satisfaction and nursing staff work satisfaction at an urban public hospital in the Southwestern United States. The primary objectives of this study were to determine: (1) the level of overall patient satisfaction and satisfaction with specific dimensions of hospital care; (2) the differences in patient satisfaction according to demographic characteristics (age, gender, ethnicity, and education completed) and predispositional factors (perceived health status, perceived level of pain, prior contact with the hospital, and hospital image) and the relative importance of each variable on patient satisfaction; (3) the level of overall work satisfaction and satisfaction with specific dimensions of work experienced by the medical/surgical nursing staff; (4) the differences in work satisfaction experienced by the nursing staff based on demographic variables (age, gender, ethnicity, and marital status) and professional factors (education completed, staff position, the number of years employed with the hospital, and number of years employed in nursing) and the relative importance of each variable on work satisfaction; and (5) to determine the effect of the nursing work milieu on patient and staff satisfaction.^ The study findings showed that patients experienced a moderate to low level of satisfaction with the dimensions of hospital care (admission process, daily care, information, nursing care, physician care, other hospital staff, living arrangements, and overall care). Of the eight dimensions of care, patients reported a relatively positive level of satisfaction (75 percent or better) with only one dimension: physician care. Ethnicity, perceived health status, and hospital image were significantly related to patient satisfaction. Hispanic patients, those who were in good health, and those who felt the hospital had a good image in their community were most satisfied with hospital care. Patients also reported areas of hospital care that needed the most improvement. Responses included: rude staff, better nursing care, and better communication.^ Findings from the nursing satisfaction survey indicated a low level of satisfaction with the dimensions of work (autonomy, pay, professional status, interaction, task requirements, and organizational policies). Only one dimension of work, professional status, received a mean satisfaction score in the positive range. Additionally, staff members were unanimously dissatisfied with their salaries. Frequently mentioned work-related problems reported by the staff included: staffing shortages, heavy patient loads. and excessive paperwork.^ The nursing milieu appeared to have had a significant effect on the satisfaction levels of patients nursing staff employees. The nursing staff were often short staffed, which increased the patient-to-nurse ratio. Consequently, patients did not receive the amount of attention and care they expected from the nursing staff. Crowded patient rooms allowed for little personal space and privacy. Dissatisfaction with living conditions served to influence patients' attitudes and satisfaction levels. These frustrations were often directed toward their primary caregivers, the nursing staff. Consequently, the nursing milieu appeared to directly affect and influence the satisfaction levels of both patients and staff. (Abstract shortened by UMI). ^

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1230 year 11 and 12 college students, modal age 16 and 17, in three colleges in Bombay, India, were studied on sexual behaviors or risk of sexual behaviors, beliefs about sex, HIV/STD knowledge, perceived norms regarding sexual behaviors, and the relationships between social skills/anxieties in HIV/STD prevention and actual and anticipated sexual behaviors. A quantitative questionnaire examining HIV/STD risk behaviors, knowledge, attitudes and beliefs, and the AIDS Social Assertiveness Scale (ASAS) were administered to these 1230 college students. Data indicated that 8% of males and 1% of females had had sexual experience, but over one third were not sure at all of being able to abstain from sexual activity with either steady or casual partners. Perceived norms were slanted toward sexual abstinence for the majority of the sample. Knowledge of protective effects of condoms was high, although half of those who had had sex did not use condoms. Logistic regression showed knowledge was higher among males, those who believed it was OK to have sex with a steady partner and that they should not wait until they were older, those who believed that condoms should be used even if the partner is known, and those who believed it was acceptable to have multiple partners. Gender differences in sexual activity and beliefs about sexual activity showed males were less likely to believe in abstaining from sexual activity. The 5 scales of the ASAS were scored and compared on ANOVA on: those who had had sexual experience (HS), those who anticipated being unable to refuse sex (AS), and those who did not anticipate problems in refusing sex (DS). Those in the AS group had greater anxieties about refusing sexual or other risk behaviors than HS and DS groups. There were greater anxieties about dealing with condoms in the AS and DS groups compared with the HS group. Confiding sexual or HIV/STD-related problems to significant others was more anxiety-provoking for the AS group compared with the HS group, and the AS group were more anxious about interactions with people with HIV. Factor analysis produced the same 5 factors as those found in previous studies. Of these, condom interactions and confiding in significant others were most anxiety provoking, and condom interactions most variable based on demographic and attitudinal factors.^ This age group is appropriate for HIV/STD reduction education given the low rate of sexual activity but despite knowledge of the importance of condom use, social skills to apply this knowledge are lacking. Social skills training in sexual negotiations, condom negotiations, and confiding HIV/STD-related concerns to significant others should reduce the risks of Indian college students having unwanted or unprotected sex. ^

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Alcohol abuse and its related problems are among the most pervasive health and social concerns in the United States (U.S.) today. Women are especially vulnerable to the physical and social devastation of alcohol abuse. Yet, although there is extensive research about alcohol drinking patterns, treatment strategies, and early recovery, there is little information about the factors that facilitate successfully sustained abstinence in women. The purpose of this study was to examine and describe the common factors to successful recovery from alcohol abuse among women and to place these factors within both the context of their social networks and the larger social environment. This study draws from the population of New Mexico, where alcohol-related deaths are the highest of any state in the U.S. and the leading cause of death for individuals under the age of 65 years. The study was a focused ethnography of women who had successfully maintained long-term recovery from alcohol abuse. As an ethnographic study, data collection included participant observation, in-depth interviews with 21 women, and the collection of historical and current culturally relevant data. A purposive sampling plan was used to maximize the selection of participants who had used traditional and non-traditional approaches to recovery. As such, the analysis of the success narratives revealed two distinct findings: the first that women used several different trajectories to achieve long-term recovery. Three trajectory typologies were identified from the success narratives and labeled, A.A. as ceremony, A.A. as grounding, and Recovery as self-management. ^ However, within each of these trajectories, variations in successful recovery were seen. The second major finding was that all women articulated an overarching theme of connections as an indispensable aspect of sustained recovery. The success narratives demonstrated the powerful role that connections played in their long-term recovery and the analysis distinguished two unifying concepts of connections—those that focused beyond self (spirituality, social support, and pets) and those that focused toward self (self-nurturance, agency, and identity). This discussion will focus on the implications for clinical practice related to both women who are still actively abusing alcohol and for those who are successfully maintaining long-term recovery. ^

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Highly active antiretroviral therapy (HAART) has taken HIV-infection from a rapidly terminal illness to one that is a slowly progressive, chronic illness. HIV-infected children can now live long, normal lives. Today, four classes of antiretroviral medications are widely used and several antiretrovirals are available in each class, but resistance and cross-resistance to these medications can occur very quickly if the patient does not adhere to strict medication dosing guidelines. One method to improve pediatric adherence to antiretrovirals is to focus on identified determinants of adherence at clinical visits, but very few studies have been conducted to identify determinants of adherence to antiretrovirals and the best methods to measure adherence in the pediatric population. This research synthesis found adherence factors related to children can be divided into child-identified factors and caregiver-identified factors. Child identified factors include medication-related, demographic-related, cognitive-related, psychosocial-related, and biological marker-related barriers to adherence. Caregiver identified factors include medication-related, cognitive-related, relationship-related, and psychosocial-related barriers to adherence. More randomized clinical trials are needed to identify determinants to adherence, identify methods to best measure adherence, and to identify the best interventions to improve adherence in HIV-infected children and adolescents. ^

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While reported prevalence rates of troubled employees vary considerably, even conservative estimates indicate a major public health problem. For example, alcohol and drug related problems alone cost U.S. industry more than 45 billion dollars annually.^ Of the alternatives available to deal with these problems, e.g., dismissal or disciplinary actions, the most viable and cost effective are employee assistance programs (EAP), designed to provide professional assistance to employees experiencing alcohol, drug, emotional or personal crisis.^ The principal component of an EAP is that of assessment and referral, and this study was developed to determine which EAP client intake variables are the most efficacious predictors of assessment and referral procedures.^ Although, specific client intake variables were statistically significant the discriminant classification analysis was demonstrably inadequate. Nevertheless, the identification of A/R procedure phases which were not efficacious, as well as EAP client populations for whom services were not effective, were extremely valuable discernments. Identifying the less efficacious components of the A/R process provided an opportunity to recommend alternatives to current program procedures and practices, which may ameliorate program effectiveness. ^

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Background: Little is known about the effects on patient adherence when the same study drug is administered in the same dose in two populations with two different diseases in two different clinical trials. The Minocycline in Rheumatoid Arthritis (MIRA) trial and the NIH Exploratory Trials in Parkinson's disease (NET-PD) Futility Study I provide a unique opportunity to do the above and to compare methods measuring adherence. This study may increase understanding of the influence of disease and adverse events on patient adherence and will provide insights to investigators selecting adherence assessment methods in clinical trials of minocycline and other drugs in future.^ Methods: Minocycline adherence by pill count and the effect of adverse events was compared in the MIRA and NET-PD FS1 trials using multivariable linear regression. Within the MIRA trial, agreement between assay and pill count was compared. The association of adverse events with assay adherence was examined using multivariable logistic regression.^ Results: Adherence derived from pill count in the MIRA and NET-PD FS1 trials did not differ significantly. Adverse events potentially related to minocycline did not appear useful to predict minocycline adherence. In the MIRA trial, adherence measured by pill count appears higher than adherence measured by assay. Agreement between pill count and assay was poor (kappa statistic = 0.25).^ Limitations: Trial and disease are completely confounded and hence the independent effect of disease on adherence to minocycline treatment cannot be studied.^ Conclusion: Simple pill count may be preferred over assay in the minocycline clinical trials to measure adherence. Assays may be less sensitive in a clinical setting where appointments are not scheduled in relation to medication administration time, given assays depend on many pharmacokinetic and instrument-related factors. However, pill count can be manipulated by the patient. Another study suggested that self-report method is more sensitive than pill count method in differentiating adherence from non-adherence. An effect of medication-related adverse events on adherence could not be detected.^

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Complex diseases such as cancer result from multiple genetic changes and environmental exposures. Due to the rapid development of genotyping and sequencing technologies, we are now able to more accurately assess causal effects of many genetic and environmental factors. Genome-wide association studies have been able to localize many causal genetic variants predisposing to certain diseases. However, these studies only explain a small portion of variations in the heritability of diseases. More advanced statistical models are urgently needed to identify and characterize some additional genetic and environmental factors and their interactions, which will enable us to better understand the causes of complex diseases. In the past decade, thanks to the increasing computational capabilities and novel statistical developments, Bayesian methods have been widely applied in the genetics/genomics researches and demonstrating superiority over some regular approaches in certain research areas. Gene-environment and gene-gene interaction studies are among the areas where Bayesian methods may fully exert its functionalities and advantages. This dissertation focuses on developing new Bayesian statistical methods for data analysis with complex gene-environment and gene-gene interactions, as well as extending some existing methods for gene-environment interactions to other related areas. It includes three sections: (1) Deriving the Bayesian variable selection framework for the hierarchical gene-environment and gene-gene interactions; (2) Developing the Bayesian Natural and Orthogonal Interaction (NOIA) models for gene-environment interactions; and (3) extending the applications of two Bayesian statistical methods which were developed for gene-environment interaction studies, to other related types of studies such as adaptive borrowing historical data. We propose a Bayesian hierarchical mixture model framework that allows us to investigate the genetic and environmental effects, gene by gene interactions (epistasis) and gene by environment interactions in the same model. It is well known that, in many practical situations, there exists a natural hierarchical structure between the main effects and interactions in the linear model. Here we propose a model that incorporates this hierarchical structure into the Bayesian mixture model, such that the irrelevant interaction effects can be removed more efficiently, resulting in more robust, parsimonious and powerful models. We evaluate both of the 'strong hierarchical' and 'weak hierarchical' models, which specify that both or one of the main effects between interacting factors must be present for the interactions to be included in the model. The extensive simulation results show that the proposed strong and weak hierarchical mixture models control the proportion of false positive discoveries and yield a powerful approach to identify the predisposing main effects and interactions in the studies with complex gene-environment and gene-gene interactions. We also compare these two models with the 'independent' model that does not impose this hierarchical constraint and observe their superior performances in most of the considered situations. The proposed models are implemented in the real data analysis of gene and environment interactions in the cases of lung cancer and cutaneous melanoma case-control studies. The Bayesian statistical models enjoy the properties of being allowed to incorporate useful prior information in the modeling process. Moreover, the Bayesian mixture model outperforms the multivariate logistic model in terms of the performances on the parameter estimation and variable selection in most cases. Our proposed models hold the hierarchical constraints, that further improve the Bayesian mixture model by reducing the proportion of false positive findings among the identified interactions and successfully identifying the reported associations. This is practically appealing for the study of investigating the causal factors from a moderate number of candidate genetic and environmental factors along with a relatively large number of interactions. The natural and orthogonal interaction (NOIA) models of genetic effects have previously been developed to provide an analysis framework, by which the estimates of effects for a quantitative trait are statistically orthogonal regardless of the existence of Hardy-Weinberg Equilibrium (HWE) within loci. Ma et al. (2012) recently developed a NOIA model for the gene-environment interaction studies and have shown the advantages of using the model for detecting the true main effects and interactions, compared with the usual functional model. In this project, we propose a novel Bayesian statistical model that combines the Bayesian hierarchical mixture model with the NOIA statistical model and the usual functional model. The proposed Bayesian NOIA model demonstrates more power at detecting the non-null effects with higher marginal posterior probabilities. Also, we review two Bayesian statistical models (Bayesian empirical shrinkage-type estimator and Bayesian model averaging), which were developed for the gene-environment interaction studies. Inspired by these Bayesian models, we develop two novel statistical methods that are able to handle the related problems such as borrowing data from historical studies. The proposed methods are analogous to the methods for the gene-environment interactions on behalf of the success on balancing the statistical efficiency and bias in a unified model. By extensive simulation studies, we compare the operating characteristics of the proposed models with the existing models including the hierarchical meta-analysis model. The results show that the proposed approaches adaptively borrow the historical data in a data-driven way. These novel models may have a broad range of statistical applications in both of genetic/genomic and clinical studies.

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An estimated 5.6 million children under the age of 18 suffer from asthma in the United States making asthma one of the most common chronic diseases in children. Because of the nature of the disease, the treatment regimen necessary to manage asthma has considerably changed as new drugs are developed and improved. The complexity of the treatment regimen recommended by the physician, however, has been linked with problems in adherence. Accordingly, the purpose of this cross-sectional study is to determine the prevalence of adherence to medication regimens among children between 9 to 15 years of age with physician-diagnosed asthma in Houston, Texas. The study used a set of data from a sample of children who participated in a pilot, panel asthma study to investigate the association between exposure to oxygenated air toxics and asthma health outcomes, conducted between 2002 and 2003. Data on daily intake of medication and onset of asthma-related symptoms were collected for each child per 10-day sampling period. Information was gathered through telephone or personal interviews for the 28 study participants who completed the study. The prevalence of adherence was calculated based on the number of times the participant reported taking his or her maintenance medication. The Fisher's Exact test and the Student's t-test were used to compare the level of adherence between the first and the last sampling cycle (Cycle 1 and Cycle 4) among the study participants by age, gender, and ethnicity. ^

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Medication errors, one of the most frequent types of medical errors, are a common cause of patient harm in hospital systems today. Nurses at the bedside are in a position to encounter many of these errors since they are there at the start of the process (ordering/prescribing) and the end of the process (administration). One of the recommendations from the IOM (Institute of Medicine) report, "To Err is Human," was for organizations to identify and learn from medical errors through event reporting systems. While many organizations have reporting systems in place, research studies report a significant amount of underreporting by nurses. A systematic review of the literature was performed to identify contributing factors related to the reporting and not reporting of medication errors by nurses at the bedside.^ Articles included in the literature review were primary or secondary studies, dated January 1, 2000 – July 2009, related to nursing medication error reporting. All 634 articles were reviewed with an algorithm developed to standardize the review process and help filter out those that did not meet the study criteria. In addition, 142 article bibliographies were reviewed to find additional studies that were not found in the original literature search.^ After reviewing the 634 articles and the additional 108 articles discovered in the bibliography review, 41 articles met the study criteria and were used in the systematic literature review results.^ Fear of punitive reactions to medication errors was a frequent barrier to error reporting. Nurses fear reactions from their leadership, peers, patients and their families, nursing boards, and the media. Anonymous reporting systems and departments/organizations with a strong safety culture in place helped to encourage the reporting of medication errors by nursing staff.^ Many of the studies included in this literature review do not allow results that can be generalized. The majority of them took place in single institutions/organizations with limited sample sizes. Stronger studies with larger sample sizes need to be performed, utilizing data collection methods that have been validated, to determine stronger correlations between safety cultures and nurse error reporting.^

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The Food and Drug Administration (FDA) is responsible for risk assessment and risk management in the post-market surveillance of the U.S. medical device industry. One of the FDA regulatory mechanisms, the Medical Device Reporting System (MDR) is an adverse event reporting system intended to provide the FDA with advance warning of device problems. It includes voluntary reporting for individuals, and mandatory reporting for device manufacturers. ^ In a study of alleged breast implant safety problems, this research examines the organizational processes by which the FDA gathers data on adverse events and uses adverse event reporting systems to assess and manage risk. The research reviews the literature on problem recognition, risk perception, and organizational learning to understand the influence highly publicized events may have on adverse event reporting. Understanding the influence of an environmental factor, such as publicity, on adverse event reporting can provide insight into the question of whether the FDA's adverse event reporting system operates as an early warning system for medical device problems. ^ The research focuses on two main questions. The first question addresses the relationship between publicity and the voluntary and mandatory reporting of adverse events. The second question examines whether government agencies make use of these adverse event reports. ^ Using quantitative and qualitative methods, a longitudinal study was conducted of the number and content of adverse event reports regarding breast implants filed with the FDA's medical device reporting system during 1985–1991. To assess variation in publicity over time, the print media were analyzed to identify articles related to breast implant failures. ^ The exploratory findings suggest that an increase in media activity is related to an increase in voluntary reporting, especially following periods of intense media coverage of the FDA. However, a similar relationship was not found between media activity and manufacturers' mandatory adverse event reporting. A review of government committee and agency reports on the FDA published during 1976–1996 produced little evidence to suggest that publicity or MDR information contributed to problem recognition, agenda setting, or the formulation of policy recommendations. ^ The research findings suggest that the reporting of breast implant problems to FDA may reflect the perceptions and concerns of the reporting groups, a barometer of the volume and content of media attention. ^

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Literature on hypertension treatment has demonstrated that a healthy life style is one of the best strategies for hypertension control. In exploring the mechanisms of behavioral change for hypertension control, a comprehensive study based on the Transtheoretical Model was carried out in Taiwan during the summer of 2000 with a sample of 350 hypertensive adults living in Taipei urban and rural areas. ^ The relationships among stages of change, processes of change and demographic factors were analyzed for six health behaviors—low fat food consumption, alcohol use, smoking, physical activity, weight control, and routine blood pressure checkups. In addition, differences were assessed between urban and rural populations in changing their behavior for hypertension control. ^ The results showed that rural populations had more difficulties than urban populations in avoiding smoking and engaging in physical activity, and the processes of change being used by urban populations were significantly greater than rural populations. The study findings support a strong association between processes and stages of change. ^ Individuals who use more processes of change will be more inclined to move from precontemplation stage to maintenance stage. Counterconditioning, which is the substitution of alternatives for the problem behaviors, in this study, significantly helped people to change diet, engage in physical activity, and check blood pressure regularly. For example, counterconditioning is eating more vegetables instead of meat, or engaging in physical activity as a time to relax rather than another task to accomplish. ^ In addition, self-reevaluation was the most important process for helping people to engage in physical activity; and social liberation was the most important process for changing diet behavior. The findings in this study may be applied to improve health behaviors among rural populations with low income and low education; however, at the same time, the obesity problems among urban populations should be prevented to control hypertension in Taiwan. ^

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Errors in healthcare are commonplace and have significant impact on mortality, morbidity, and costs. Other high-risk industries are credited with strong safety records. These successes are due in part to a strong, committed organizational culture and their leadership. A consistent pattern of effective leadership behaviors; creating change, establishing a vision and strategic actions, and enabling and inspiring the organization's members to act, is present in these high-risk industries. This research examined the relationship between leadership practices and a medication safety regime. The hypothesis is strong leadership practices have a positive relationship with the degree of sophistication of a medication safety program (safety performance). Leadership was used as a surrogate for organizational culture and was measured in this research through the Kouzes and Posner's Leadership Practices Inventory. The Institute of Medicine's 14 Selected Strategies to Improve Medication Safety was used to measure the development of a medication safety regime. Leadership practices towards safety were assessed by surveying 2,478 critical care Registered Nurses in the greater Houston area. A response rate of 19% was achieved. Thirteen hospitals participated in the medication safety regime assessment. Data from 386 RN respondents from 53 institutions provided an overall description of unit (ICU) and organization (hospital) leader's practices towards safety. There is some recognition of the medical error problem and that leaders exhibit moderate levels of leadership practices to promote safety. There were no differences noted in unit and hospital leaders' behaviors, with the exception that unit leaders promote change and enable staff to act more often than hospital leaders. There were no statistically significant relationships between overall leadership, or individual leadership practices and the organization's safety performance. There was a significant relationship between leadership and safety performance when other factors in organizational culture were considered. Teaching and Magnet hospitals also exhibited stronger behaviors towards safety. Organizational culture, as measured by academic affiliation and Magnet recognition, is strongly related to safety performance as measured by the degree of development of a medication safety regime. ^

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Each year an estimated 180,000 people in the United States (U.S.) die as a result of medication errors, now considered a major public health problem. If a patient cannot correctly act on information related to medication use or "Medication Literacy" there is an increased potential for error. Medication use issues are unique on the US-Mexico border because they include high rates of herbal products and medication products from Mexico as well as issues related to the preferred language (English or Spanish) of the patient. To evaluate the medication literacy in a US-Mexico border community, this retrospective study evaluates 180 subjects representing four diverse economic segments of a metropolitan US-Mexico Border community who have taken a Medication Literacy Assessment. The assessment tool has been created to understand how patients interpret medication information for prescription, over-the-counter, herbal, and Mexican medication product use, and how they problem-solve medication questions. The Medication Literacy Assessment tool specifically assesses document literacy (e.g., prescription labels), prose literacy (e.g., patient leaflets), numeracy (e.g., calculations and measurements) as well as qualitative data related to medication use practices. The main hypothesis of this study is that the ability to interpret and use medications will vary based on education, language (Spanish or English), and recruitment sites (economically diverse communities). The results will provide information to better characterize medication use in a primarily Hispanic population on the US-Mexico border and may be used to influence policy decisions regarding prescription and over-the-counter product information.^