Behavioral cognitions and factors related to hepatitis B vaccine acceptance and compliance in a cohort of drug users in Houston, Texas

Purpose. Drug users are a large group of those at highest risk for contracting Hepatitis B (HBV). This study sought to identify predictors of HBV vaccine acceptance and compliance in a cohort of current drug users in Houston, Texas. Perceived severity of HBV, perceived risk of HBV, perceived peer support of HBV vaccine, and perceived benefits of HBV vaccine were also examined assess their relationship to HBV compliance. ^ Methods. A randomized intervention study was conducted in a cohort of current drug users in Houston, Texas. Participants were recruited by community outreach workers from two urban neighborhoods in Houston known for high drug use. Participants were randomized to a standard vaccine schedule group or an accelerated vaccine schedule group. Participants were also randomized to either a standard behavioral intervention group or an enhanced behavioral intervention group designed to increase HBV vaccine acceptance and compliance. Baseline visits included an interview for demographic factors, drug and sexual behaviors, and HBV beliefs; and participants received the first dose of the HBV vaccine and one of the behavioral interventions. ^ Results. Of 1,643 screening participants, 77% accepted the HBV vaccine. Participants ages ≥50 were twice as likely to accept the vaccine. African Americans and less frequent drug users were also significantly more likely to accept the vaccine. Of the 1,259 participants who enrolled in the study, 75% were compliant to the HBV vaccine. Predictors of compliance were found to be race, housing status, and alcohol use. Speedball users were found to be 74% less likely to be compliant the HBV vaccine. None of the behavioral constructs assessed were found to significantly predict HBV compliance. However, additional analyses found that there were significant changes in mean scores of the behavioral concepts when measured at six month follow-up. ^ Conclusion. Results from this study indicate that when offered a free vaccine in the drug user community, a large percentage will be compliant to the vaccine series. The behavioral cognitions commonly used in HBV compliance research need to be extended to accurately fit this cohort. Also, vaccine intervention focus needs to be on reaching the homeless segment of the drug users and the speedball users. ^

Attitudes and other barriers to the utilization of clinical research findings by American physicians: A systematic review

Background: The Institute of Medicine estimates that only a maximum of 25% of clinical research findings are incorporated into practice by physicians. To improve clinical practice, efforts have been made to promote evidence-based medicine and the use of clinical guidelines. Despite these efforts, the gap between research and clinical practice remains wide.^ Objective: To systematically review the literature describing the factors which influence the use of clinical research recommendations by American physicians.^ Hypothesis: Barriers exist in the application of clinical research into clinical practice, and are multifactorial. The establishment of the Clinical and Translational Awards (CTSA; special federal grants awarded to selected institutions to support clinical and translational research) has reduced the effect of these barriers and improved the process of clinical research translation into practice among American physicians.^ Aims: Identify barriers and facilitators of the use of research findings in clinical practice by American physicians. Contrast studies published six years before and after the creation of the CTSA.^ Methods: The sources of data include published literature from Medline, PubMed and PsycINFO. Selected studies must be qualitative, a survey of American clinicians, based on evidence-based medicine practice, clinical guidelines or treatment pathways. Systematic reviews and reports were excluded, as well as studies with less than 100 respondents.^ Results: In total, 1036 abstracts were reviewed; 115 full text potential articles were identified and reviewed, and a total of 31 studies met all criteria for inclusion in the final review.^ Conclusions: The barriers against the application of clinical research findings, in the forms of clinical guidelines, evidence-based medicine guides and clinical pathways, can be divided broadly into physician barriers, practice/system barriers and patient barriers. Physician barriers are the most common barriers, especially the lack of familiarity with guidelines and the lack of time. Of the factors which improve the use of research based guidelines, physician factors such as younger age, lower duration of clinical practice, specialty training, and practice in large group Health Maintenance Organization (HMO) settings with fewer patients seen were the most commonly cited.^

A day in the life of PubMed: analysis of a typical day's query log.

OBJECTIVE: To characterize PubMed usage over a typical day and compare it to previous studies of user behavior on Web search engines. DESIGN: We performed a lexical and semantic analysis of 2,689,166 queries issued on PubMed over 24 consecutive hours on a typical day. MEASUREMENTS: We measured the number of queries, number of distinct users, queries per user, terms per query, common terms, Boolean operator use, common phrases, result set size, MeSH categories, used semantic measurements to group queries into sessions, and studied the addition and removal of terms from consecutive queries to gauge search strategies. RESULTS: The size of the result sets from a sample of queries showed a bimodal distribution, with peaks at approximately 3 and 100 results, suggesting that a large group of queries was tightly focused and another was broad. Like Web search engine sessions, most PubMed sessions consisted of a single query. However, PubMed queries contained more terms. CONCLUSION: PubMed's usage profile should be considered when educating users, building user interfaces, and developing future biomedical information retrieval systems.

Manifestation of depression symptoms among Mexican American adolescents

Background. Previous findings reported more depression among Mexican American adolescents than among adolescents from other groups. There has been minimal research published on distribution of depression symptoms among Mexican American adolescents and practically no data has been published from community samples. ^ Objective. To examine the phenomenology of DSM-IV major depression symptoms across groups defined by ethnic status, by gender and language use focusing on the Mexican American group. ^ Methods. Secondary data from 2624 adolescents (ages 10-17) among three ethnic subgroups, Mexican (26.7%), African (45%) and Anglo Americans (28.3%), was analyzed. Data come from the Teen Life Changes (TLC) Survey conducted in 1994 by Roberts et al. (1997). A self-report questionnaire, which includes the DSD scale to measure depression, was used. ^ Results. Analysis of data showed significant differences among youth in the phenomenology of depression symptoms by ethnicity, by gender and by language use at home. ^ Conclusion. This study adds knowledge to the psychopathology and mental health literature from the identification of depression symptoms profile as well as permits the design of more appropriate policy for prevention and intervention programs among culturally diverse youth. ^

It's your game, keep it real. Sexual education study

Purpose: This study translated and adapted the It's Your Game, Keep It Real study currently being implemented with middle school youth in Southeast Texas for a middle school population in rural western Honduras. The study tested the effects of a sexual health education program focused on human immunodeficiency virus, sexually transmitted infections, and pregnancy prevention. We hypothesized that the number of adolescents in the intervention group who initiate sexual activity will reduce in comparison to the control group and there will be an increase consistent condom use in sexually active adolescents in the intervention group. ^ Methods: The target population included Spanish-speaking Hispanic middle school students from a small, semi-urban city in western Honduras. One school was randomly selected to receive the intervention and one to the comparison condition. The intervention curriculum consisted of 10 seventh-grade lessons that included individual and group classroom-based activities and personal journaling. Follow-up surveys were completed three months after the last lesson with 146 students (79.3% of the defined cohort). ^ Results: In the comparison condition, 21.4% of students initiated sex by the post-test follow-up three months after the intervention compared to 7.8% in the intervention condition. ^ Conclusions: A multi-component, curriculum-based program that is theory driven and culturally relevant can increase knowledge about STIs and HIV, increase self-confidence amongst middle school students, and develop communication skills amongst friends and partners. Further research must be conducted to assess delay in sexual initiation and the generalizability of these results.^

Robust effect sizes and their confidence intervals for group difference between trajectories in hierarchical linear growth model

Hierarchical linear growth model (HLGM), as a flexible and powerful analytic method, has played an increased important role in psychology, public health and medical sciences in recent decades. Mostly, researchers who conduct HLGM are interested in the treatment effect on individual trajectories, which can be indicated by the cross-level interaction effects. However, the statistical hypothesis test for the effect of cross-level interaction in HLGM only show us whether there is a significant group difference in the average rate of change, rate of acceleration or higher polynomial effect; it fails to convey information about the magnitude of the difference between the group trajectories at specific time point. Thus, reporting and interpreting effect sizes have been increased emphases in HLGM in recent years, due to the limitations and increased criticisms for statistical hypothesis testing. However, most researchers fail to report these model-implied effect sizes for group trajectories comparison and their corresponding confidence intervals in HLGM analysis, since lack of appropriate and standard functions to estimate effect sizes associated with the model-implied difference between grouping trajectories in HLGM, and also lack of computing packages in the popular statistical software to automatically calculate them. ^ The present project is the first to establish the appropriate computing functions to assess the standard difference between grouping trajectories in HLGM. We proposed the two functions to estimate effect sizes on model-based grouping trajectories difference at specific time, we also suggested the robust effect sizes to reduce the bias of estimated effect sizes. Then, we applied the proposed functions to estimate the population effect sizes (d ) and robust effect sizes (du) on the cross-level interaction in HLGM by using the three simulated datasets, and also we compared the three methods of constructing confidence intervals around d and du recommended the best one for application. At the end, we constructed 95% confidence intervals with the suitable method for the effect sizes what we obtained with the three simulated datasets. ^ The effect sizes between grouping trajectories for the three simulated longitudinal datasets indicated that even though the statistical hypothesis test shows no significant difference between grouping trajectories, effect sizes between these grouping trajectories can still be large at some time points. Therefore, effect sizes between grouping trajectories in HLGM analysis provide us additional and meaningful information to assess group effect on individual trajectories. In addition, we also compared the three methods to construct 95% confident intervals around corresponding effect sizes in this project, which handled with the uncertainty of effect sizes to population parameter. We suggested the noncentral t-distribution based method when the assumptions held, and the bootstrap bias-corrected and accelerated method when the assumptions are not met.^