Increasing understanding of the risk and protective factors for adolescent nonmedical use of prescription drugs (NMUPD) could inform prevention efforts. Several correlates have been identified, including parental factors, perceptions about use and accessibility, social norms, and age. However, these constructs have rarely been simultaneously examined using paired data from parents and adolescents. We aimed to examine the relative influence of these correlates among dyads (N = 349) of mothers and adolescent daughters. Using multiple logistic regression, daughters’ past NMUPD and inclination for future NMUPD were regressed onto descriptive norms for friend use, perceived drug accessibility and risk of harm from use, daughter age, mothers’ disapproval about use, mothers’ past NMUPD and inclination for future NMUPD, and the mother-daughter relationship quality. Akaike weights and lasso regressions were also estimated to evaluate the relative importance of each correlate. Higher descriptive norms for friend use, older age, and mothers’ inclination for NMUPD were risk factors for daughters’ NMUPD, while a closer mother-daughter relationship and mothers’ disapproving attitudes towards NMUPD were protective factors. The three analysis approaches were corroborative. Results suggest friend descriptive norms, mother-daughter relationship quality, and mothers’ attitudes about NMUPD are important prevention targets.

No description available.

INTRODUCTION: Medicare Part D provides prescription drug coverage to seniors through a benefit plan with a major deductible inserted in the middle. It is important to study the extent to which this structure affects seniors’ adherence to prescription medications. Therefore, this study had the following objectives: (1) To identify characteristics of beneficiaries reaching and not reaching the coverage gap, (2) To study the entry and exit times from the coverage gap, (3) To study the impact of a complete gap in coverage on beneficiaries’ adherence to prescription medications, (4) To study the impact of a partial gap in coverage on beneficiaries’ adherence to prescription medications METHODS: This was a retrospective quasi-experimental analysis with matched control groups using a nationally representative sample of Part D enrollees from 2008 Centers for Medicare and Medicaid (CMS) datasets. Adherence to each oral medication taken for one or more of the seven pre-defined therapeutic classes before and after reaching the coverage gap was measured using the Medication Possession Ratio (MPR). Appropriate statistical tests for significance were performed for each analysis RESULTS: A quarter of our sample (24.42%) reached the coverage gap in 2008. Most of the beneficiaries reaching the coverage gap did so by end of September. Those reaching the coverage gap and losing all coverage experienced significantly greater reductions in adherence (3% more for beta-blockers to 9% more for oral anti-diabetic agents), compared to those not reaching the coverage gap. A considerable proportion of beneficiaries stopped taking medications in both the groups and the proportion of beneficiaries considered adherent also dropped in both the groups during the coverage gap period. CONCLUSIONS: Medicare Part D beneficiaries face significant barriers to adherence and this is especially highlighted among those reaching the coverage gap. Interventions to improve adherence in this group should target all beneficiaries, especially those with several chronic conditions.

Abstract available through the Journal of Pharmacy Practice.

Background: Non-medical use of prescription drugs (NMUPD) refers to the use of prescription drugs which are traditionally utilized to manage pain or treat psychiatric problems but without a doctor’s prescription. In 2010, an investigation by the Substance Use and Mental Health Services Administration (SAMHSA) revealed that 5.3% of young adults (18 to 25-year-olds) in the United States reported past-month NMUPD. NMUPD has become a growing concern owing to associations with consequences such as college dropout, poor academic achievement, and health jeopardizing behaviors. College students' NMUPD has been well documented in the United States. Limited studies, however, have been conducted among college students in China. The purposes of this study are to examine the prevalence and motives of NMUPD among college students in China, and to assess its relationship with stress (i.e., perceived stress and traumatic events), mental health problems (depression, anxiety, and post-traumatic stress disorder (PTSD)), utilization of healthcare, cultural orientation, and protective factors (i.e., resilience and future orientation). Methods: In Jan-April 2017, online data were collected using SONA system from a total of 720 undergraduates at Beijing Normal University (BNU) and University of Macau (UM) with an average age of 19.65. All participants reported their nonmedical use of prescription drugs (i.e., opioids, sedatives, stimulants, and anxiolytics) in their lifetime and the past three months, stress, mental health, utilization of healthcare, cultural orientation, and protective factors. Spearman’s rank-order corrections and logistic regression were employed for statistical analyses. Results: Findings indicate that 41.2% of Chinese students reported taking prescription drugs without a doctor’s prescription. The most commonly misused prescription drugs were opioids (40.5% lifetime use, 31.8% past-three-months use), followed by sedatives (1.8% lifetime, 0.8% past 3 months), anxiolytics (0.9% lifetime,0 .3% past three months), and stimulants (0.2% lifetime, 0% past three months). Bivariate analyses suggest significantly positive correlations of lifetime NMUPD with mental health problems (anxiety and PTSD), cultural orientation (individualism and collectivism), and utilization of healthcare (frequency of healthcare use, time spent for healthcare, and money spent for healthcare). Similar results were found in terms of past-three-month NMUPD. The results of logistic regressions indicate the significant association of lifetime NMUPD with individualism of cultural orientation, and frequency of healthcare use. Specially, individualism, frequency of healthcare use, and time spent for healthcare were found to be associated with lifetime opioid misuse, and depression was significantly associated with sedative misuse. Resilience was negatively associated with lifetime sedative misuse. Frequency of healthcare use was also found to be positively associated with past-three-month opioid misuse. Conclusion: Utilization of healthcare, cultural orientation, and mental health problems appear to be the factors associated with NMUPD among college students at BNU and UM. More discussion is needed in Chinese society about regulation of prescription drug use. Future culturally-tailored prevention intervention programs may be beneficial to reduce the risk of NMUPD among Chinese college students.

Pharmaceutical drugs are one of the most socially important health care products. They are part of many individuals' everyday lives, from the eradicating of diseases at birth to treating patients at the end of life. However, for many patients access is prevented due to expensive cost. This study explored cost-related non-adherence (CRN) and researched if reimportation of pharmaceutical drugs from other countries could increase patient drug adherence. The perceptions of 10 patients and 10 providers in Maine were assessed. Maine is the only state that allowed its citizens to purchase prescription drugs from abroad. The research questions addressed (a) how reimportation drugs could contribute to drug adherence, (b) the perceptions of patients, and (c) the perceptions of key providers of reimportation. This study was guided by a theoretical framework utilizing Kurt Lewin's theory of organizational change. Participants answered 15 open-ended questions. The study utilized a qualitative grounded theory approach; data were analyzed inductively. The research demonstrated that patients and health care providers had positive perceptions for a reimportation policy. Future research of other regions for this topic should prevail. Member checking was used to validate the emerging theories of increased long term drug adherence incentivized by affordable drug cost, which contributes to perception of competence, better management of current disease, and decreased safety concerns. Positive social change implications can be achieved through savings to the health-care industry by creating a pathway to affordable drugs that will bring more drugs to market and create a competitive structure that can drive down pricing.

Pharmaceutical drugs are one of the most socially important health care products. They are part of many individualsâ?? everyday lives, from the eradicating of diseases at birth to treating patients at the end of life. However, for many patients access is prevented due to expensive cost. This study explored cost-related non-adherence (CRN) and researched if reimportation of pharmaceutical drugs from other countries could increase patient drug adherence. The perceptions of 10 patients and 10 providers in Maine were assessed. Maine is the only state that allowed its citizens to purchase prescription drugs from abroad. The research questions addressed (a) how reimportation drugs could contribute to drug adherence, (b) the perceptions of patients, and (c) the perceptions of key providers of reimportation. This study was guided by a theoretical framework utilizing Kurt Lewinâ??s theory of organizational change. Participants answered 15 open-ended questions. The study utilized a qualitative grounded theory approach; data were analyzed inductively. The research demonstrated that patients and health care providers had positive perceptions for a reimportation policy. Future research of other regions for this topic should prevail. Member checking was used to validate the emerging theories of increased long term drug adherence incentivized by affordable drug cost, which contributes to perception of competence, better management of current disease, and decreased safety concerns. Positive social change implications can be achieved through savings to the health-care industry by creating a pathway to affordable drugs that will bring more drugs to market and create a competitive structure that can drive down pricing.

Background: Little Canadian research exists which examines equitable access to public pharmaceutical insurance. In order to better understand issues related to access to publicly funded, universal prescription drug insurance in Canada, my thesis examines participation with (and therefore access to) the Fair PharmaCare program in BC. Specifically, my thesis: 1) describes methodologies that can be used to create area-level cultural variables for use with BC administrative data; and 2) studies the impact of household and area-level factors, particularly area-level cultural factors, on non-senior households’ registration for Fair PharmaCare in 2003. I hypothesized that the process of registration may act as a barrier to participation with Fair PharmaCare, particularly for households belonging to various culturally defined communities. Methods: Dissemination area (DA) level census data were obtained from Statistics Canada to create dichotomous, ecological variables which capture the collective ethnic composition, English language capacity and immigration status of residents within each DA. In turn, these variables were employed in multivariate, logistic regression analyses, which also included household-level measures of demographics, enabling resources and health status as well as area-level measures of income and health care resources. The outcome of interest was registration for Fair PharmaCare. Findings: Controlling for area-level income and health care resources, household-level demographics, enabling resources and health status, as well as area-level cultural factors, influenced households’ likelihood of registration for Fair PharmaCare. Households belonging to DAs with a high concentration of individuals reporting a Chinese or Punjabi ethnic background, or DAs that were ethnically homogeneous, regardless of the ethnic background, were more likely to register. In contrast households belonging to DAs consisting of a high concentration of recent immigrants or individuals belonging to ethnic minority groups that are underrepresented in BC were less likely to register. Conclusions: Considering the policy context surrounding the implementation of Fair PharmaCare, the findings from my thesis suggest that specific subpopulations within BC may face difficulties with the registration process, thereby reducing their participation in the program. Government interventions however, appear to have improved registration amongst other subpopulations. Consideration should be given to interventions that may reduce inequities in participation amongst other subgroups.

No description available.

Many epidemiological studies assess the effects of time-dependent exposures, where both the exposure status and its intensity vary over time. The analysis of such studies poses the challenge of modelling the association between complex time-dependent drug exposure and the risk, especially given the uncertainty about the etiological relevance of doses taken in different time periods. / To address this challenge, I developed a flexible method for modelling cumulative effects of time-varying exposures, weighted by recency, represented by time-dependent covariates in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines. Models with different number of knots and constraints are estimated. Bootstrap techniques are used to obtain pointwise confidence bands around the weight functions, accounting for both the sampling variation of the regression coefficients, and the uncertainty at the model selection stage, i.e. the additional variance due to a posteriori selection of the number of knots. / To assess the method in simulations, I had to develop and validate a novel algorithm to generate event times conditional on time-dependent covariates and compared it with the algorithms available in the literature. The proposed algorithm extends a previously proposed permutational algorithm to include a rejection sampler. While all the algorithms generated data sets that, once analyzed, provided virtually unbiased estimates with comparable variances, the algorithm that I proposed reduced the computational time by more than 50 per cent relative to alternative methods. I used simulations to systematically investigate the properties of the weighted cumulative dose method. Six different weight functions were considered. Simulations showed that in most situations, the proposed method was able to capture the shape of the true weight functions and to produce estimates of the magnitude of the exposure effect on the risk that were close to those used to generate the data. I finally illustrated the use of the weighted cumulative dose modelling by reassessing the association between the use of selected benzodiazepines and fall-related injuries, using administrative data on a cohort of elderly who initiated their use of benzodiazepines between 1990 and 2004.