In light of drastically escalating costs for today’s medications, pharmacy benefit managers are seeking a constant balance of effectiveness and cost control. Step Therapy helps to address these concerns with a try medication “A” before medication “B” logic. Like all medical interventions, the possibility of unintended consequences exists. The purpose of this study was to determine if non-adherence results from application of Step Therapy for selected medication classes (antihyperlipidemics (specifically the HMG Co-A reductase inhibitors), angiotensin receptor blockers, uro-selective alpha-blockers, and dipeptidyl peptidase-4 inhibitors) in the Department of Defense. Using a retrospective database analysis, this study examined the primary adherence rate of subjects after they have been denied coverage due to Step Therapy intervention. Additionally, this study examined the association of demographic and service-related factors with the likelihood that a patient will be non-adherent after encountering the intervention. Finally, the study measured the time to adherence after intervention for those who were persistent after a Step Therapy claim rejection. STATA version 10.0 was used to conduct logistic regression analyses to meet the study objectives. After examination of 279,508 claims for 27,202 subjects, the estimated primary non-adherence rate following the Step Therapy intervention for all medication classes combined was 15.1%. Additionally, there was inter-class variability in this rate ranging between 13.1% and 19.5%. A statistical and practical difference was also noted in non-adherence rates between subjects who received care at the retail point of service versus those who received care at the mail order point of service. Subjects who received care through retail were nearly twice as likely to be non-adherent as those who received care in the mail order segment. For those subjects who were persistent with therapy, the median time-to-fill was estimated at 7 days. The occurrence of non-adherence following a Step Therapy intervention was clearly demonstrated through this study. Although this study provides good framework for designing interventions after claim rejection, further research would help to determine the health impact of primary non-adherence as well as the economic consequences of the intervention. / text

In modern society, organizations are fighting each other through various means and tools in an ever-changing market at an increasing pace. One such tool is the Enterprise Resource Planning (ERP) System which aims to collect the necessary applications an organization need into one system. Although the ERP solution has become more mature over the years, researchers suggest that value gained from them have become progressively difficult to iso-late, difficult to measure and challenging to realize. It was therefore in the interest of the authors to investigate the domain of value realization in ERP projects. To complete such a study we selected an inductive approach, focusing on acquiring and us-ing qualitative data and through the practice of behavioral science and design science con-tribute to existing theories. By studying existing theories and models in topics such as change management, enterprise resource planning & critical success factors and benefit management, we supported our primary data gathering and finally our the creation of our artifact. The result from this study points to a number of important components that are needed to realize value in an ERP project. These identified components include a clear structure in the project, commitment from the clients, and communication to name a few. There were also challenges with realizing value, some of them dealing with change man-agement and the difficulty in finding appropriate measures. Even client commitment proved to be a challenge for realizing value.

No description available.

Background: Warfarin is an anticoagulant that is used for the prophylactic and therapeutic treatment for a wide range of thrombo-embolic disorders. The prescribing and monitoring of warfarin therapy is challenging due to the fact that warfarin exhibits numerous interactions with other drugs and a variety of factors that influence the dosing of warfarin. Objective: The general objective of this study was to investigate the prevalence of drugs prescribed with warfarin that may have a potential drug-drug interaction (DDI) with warfarin. Methods: This was a cross-sectional, observational or qualitative study that was conducted on medicine claims data of a pharmaceutical benefit management company for patients receiving warfarin therapy for a six year period, ranging from 1 January 2005 to 31 December 2010. Drug products that were co-prescribed with warfarin were also identified from the medicine claims database. The total number of prescriptions for all drug products during the study period were analysed and compared to the warfarin dataset. This was done by means of the SAS 9.1® computer package (SAS Institute, 2004). The total number of prescriptions and medicine items claimed from the database during the study period were respectively 49 523 818 and 118 305 941. Potential DDls between warfarin and coprescribed drugs were identified and classified according to a clinically significant rating. The clinically significance ratings of potential DDls are described in three degrees of severity, identified as major, moderate and minor (Tatro, 2011 :xiv). Results: The database consisted of 427 238 warfarin prescriptions and 427 744 warfarin medicine items, which represented 0.9% of the total number of prescriptions and 0.4% of total number of medicine items. The total number of patients who claimed warfarin prescriptions through the database represented 0.9% (n=68 575) of the total number of patients who claimed prescriptions in the total database (2005-2010). General practitioners prescribed the highest frequency of warfarin medicine items, representing 58.3% (n=249 202) of the total number prescribed. The age group that claimed the highest frequency of warfarin prescriptions (n=327 592, 76.6%) and the highest frequency of warfarin medicine items (n=327 984, 76.7%) was age group 4 (consisting of patients 59 years and older). The distribution between females and males regarding warfarin prescriptions claimed (n=205 999, 48.2%; n=221 117, 51.8%) and warfarin medicine items claimed (n=206 232, 48.2%; n=221 390, 51.8%) were almost equal. General practitioners prescribed the highest average PDD (7.01 mg ± 9.86 mg) of warfarin medicine items. Paediatric cardiologists prescribed the lowest average PDD (4.61 mg ± 1.29 mg) of warfarin medicine items. A d-value of 0.1 indicates that there is no practical difference of the average PDD between general practitioners and paediatric cardiologists. The average PDD of warfarin medicine items between females (6.60 mg ± 9.06 mg) and males (6.74 mg± 8.41 mg) was almost equal. The age group who was prescribed the highest average PDD was age group 2 (consisting of patients 20 years to 39 years old) (7.42 mg± 7.42 mg). Age group 4 (consisting of patients 59 years and older) (6.50 mg± 8.90 mg) was prescribed the lowest average PDD of warfarin medicine items. A d-value of 0.1 indicates that there is no practical difference of the average PDDs of warfarin medicine items between these two age groups. The results revealed that drugs with a significance rating (SR) of 1 (n=155 066, 43.3%), 2 (n=30128, 8.4%), 4 (n=137144, 38.3%), and 5 (n=36144, 10.1%) were co-prescribed with warfarin in the six year study period. The five drugs that was co-prescribed with warfarin most frequently was aspirin (n=48 903, 13.6%), thyroxine (n=33 954, 9.5%), amiodarone (n=25 056, 7.0%), simvastatin (n=19 070, 5.3%) and celecoxib (n=10 794, 3.0%). These five drugs have a SR of 1. Conclusions: This study showed that the top five drugs most frequently prescribed with warfarin are aspirin, thyroxine, amiodarone, simvastatin and celecoxib. These drugs can potentially interact with warfarin. The potential interactions of these drugs are rated with a significance rating of 1. This concludes that drugs that can potentially cause life threatening effects and permanent damage are commonly co-prescribed with warfarin. Clinical data concerning the INR or PT must be obtained in order to evaluate whether or not warfarin therapy is changed when a potentially interacting drug is co-prescribed. The age of the patients as well as the duration of warfarin treatment should also be obtained in order to assess whether warfarin treatment is changed with the progression of age. / MPharm (Pharmacy Practice), North-West University, Potchefstroom Campus, 2013

Background: Warfarin is an anticoagulant that is used for the prophylactic and therapeutic treatment for a wide range of thrombo-embolic disorders. The prescribing and monitoring of warfarin therapy is challenging due to the fact that warfarin exhibits numerous interactions with other drugs and a variety of factors that influence the dosing of warfarin. Objective: The general objective of this study was to investigate the prevalence of drugs prescribed with warfarin that may have a potential drug-drug interaction (DDI) with warfarin. Methods: This was a cross-sectional, observational or qualitative study that was conducted on medicine claims data of a pharmaceutical benefit management company for patients receiving warfarin therapy for a six year period, ranging from 1 January 2005 to 31 December 2010. Drug products that were co-prescribed with warfarin were also identified from the medicine claims database. The total number of prescriptions for all drug products during the study period were analysed and compared to the warfarin dataset. This was done by means of the SAS 9.1® computer package (SAS Institute, 2004). The total number of prescriptions and medicine items claimed from the database during the study period were respectively 49 523 818 and 118 305 941. Potential DDls between warfarin and coprescribed drugs were identified and classified according to a clinically significant rating. The clinically significance ratings of potential DDls are described in three degrees of severity, identified as major, moderate and minor (Tatro, 2011 :xiv). Results: The database consisted of 427 238 warfarin prescriptions and 427 744 warfarin medicine items, which represented 0.9% of the total number of prescriptions and 0.4% of total number of medicine items. The total number of patients who claimed warfarin prescriptions through the database represented 0.9% (n=68 575) of the total number of patients who claimed prescriptions in the total database (2005-2010). General practitioners prescribed the highest frequency of warfarin medicine items, representing 58.3% (n=249 202) of the total number prescribed. The age group that claimed the highest frequency of warfarin prescriptions (n=327 592, 76.6%) and the highest frequency of warfarin medicine items (n=327 984, 76.7%) was age group 4 (consisting of patients 59 years and older). The distribution between females and males regarding warfarin prescriptions claimed (n=205 999, 48.2%; n=221 117, 51.8%) and warfarin medicine items claimed (n=206 232, 48.2%; n=221 390, 51.8%) were almost equal. General practitioners prescribed the highest average PDD (7.01 mg ± 9.86 mg) of warfarin medicine items. Paediatric cardiologists prescribed the lowest average PDD (4.61 mg ± 1.29 mg) of warfarin medicine items. A d-value of 0.1 indicates that there is no practical difference of the average PDD between general practitioners and paediatric cardiologists. The average PDD of warfarin medicine items between females (6.60 mg ± 9.06 mg) and males (6.74 mg± 8.41 mg) was almost equal. The age group who was prescribed the highest average PDD was age group 2 (consisting of patients 20 years to 39 years old) (7.42 mg± 7.42 mg). Age group 4 (consisting of patients 59 years and older) (6.50 mg± 8.90 mg) was prescribed the lowest average PDD of warfarin medicine items. A d-value of 0.1 indicates that there is no practical difference of the average PDDs of warfarin medicine items between these two age groups. The results revealed that drugs with a significance rating (SR) of 1 (n=155 066, 43.3%), 2 (n=30128, 8.4%), 4 (n=137144, 38.3%), and 5 (n=36144, 10.1%) were co-prescribed with warfarin in the six year study period. The five drugs that was co-prescribed with warfarin most frequently was aspirin (n=48 903, 13.6%), thyroxine (n=33 954, 9.5%), amiodarone (n=25 056, 7.0%), simvastatin (n=19 070, 5.3%) and celecoxib (n=10 794, 3.0%). These five drugs have a SR of 1. Conclusions: This study showed that the top five drugs most frequently prescribed with warfarin are aspirin, thyroxine, amiodarone, simvastatin and celecoxib. These drugs can potentially interact with warfarin. The potential interactions of these drugs are rated with a significance rating of 1. This concludes that drugs that can potentially cause life threatening effects and permanent damage are commonly co-prescribed with warfarin. Clinical data concerning the INR or PT must be obtained in order to evaluate whether or not warfarin therapy is changed when a potentially interacting drug is co-prescribed. The age of the patients as well as the duration of warfarin treatment should also be obtained in order to assess whether warfarin treatment is changed with the progression of age. / MPharm (Pharmacy Practice), North-West University, Potchefstroom Campus, 2013

Background: According to the United Nations AIDS Reference Group (2010) and World Health Organization (2010:2), approximately 33 million people in the world had HIV/AIDS in 2009 of which 2.6 million were children. More than 30 million of these individuals resided in low– and middle–income countries. South–Africa had the highest prevalence of HIV/AIDS in the world with an estimated 5.2 million patients in 2009 (Statistics South Africa, 2010:2). Although the prevalence of human immunodeficiency virus (HIV) infection among children is reported to be high, little is known about other medication administrated concomitantly with their antiretroviral drugs. Objective: The general objective of this study was to investigate possible changes in the medicine prescribing patterns of HIV/AIDS and non–HIV/AIDS children. Methods: A quantitative, retrospective drug utilisation review was performed utilising medicine claims data of a South African pharmacy benefit management company. Data for a four–year period (Jan 1, 2005 to Dec 31, 2008) were analysed. The study population consisted of all children <=12 years divided into those receiving ARVs (designated HIV positive) and those without (designated HIV negative). Descriptive statistics such as average mean, standard deviation, t–test, d–values, and two way frequency tables were used to describe the results. Data were analysed using the Statistical Analysis System ® SAS 9.1 ® programme. Results: The study population (children <= 12 years) represented 16.2% (n = 197 323) of the total population in 2005, 15.4% (n = 193 346) in 2006, 15.6% (n = 142 049) in 2007 and 13.3% (n = 98 939) in 2008. Children with HIV/AIDS represented 0.2% (n = 197 323) of the study population in 2005 and increased to 0.4% (n = 98 939) in 2008, whereas the percentage of children without HIV/AIDS decreased from 99.8% (n = 197 323) in 2005 to 99.6% (n = 98 939) in 2008. The total number of HIV/AIDS children that also received other medication concomitantly with their ARVs increased from 96.5% (n = 402) in 2005 to 97.2% (n = 427) in 2008. Males with HIV/AIDS who used other medication represented 52.6% (n = 388) in 2005 and increased to 53.3% in 2008 while female HIV/AIDS patients represented 47.4% in 2005 and decreased to 46.7% in 2008. Prescriptions containing three ARV items represented 69.5% (n = 2 969) of the total number of prescriptions received by HIV/AIDS patients in 2005 and decreased to 67.7% in 2008. The combination of lamivudine, nevirapine and stavudine were the three products that appeared most frequently on prescriptions for HIV/AIDS children in the age group 0 <= 1 years and 1 <= 5 years from 2005 to 2008. In the age group 5 <= 12 years the combination most frequently prescribed was lamivudine, nevirapine and zidovudine. HIV positive children received 6.2 ± 4.62 prescriptions for other medication (non–ARVs) per year during 2005 compared to HIV negative children with 3.9 ± 3.71 (p < 0.0001, d = 0.5). In 2008 HIV positive children received 6.4 ± 5.02 prescriptions per year compared to HIV negative patients who received 4.36 ± 4.05 prescriptions (p < 0.0001, d = 0.5) in 2008. HIV negative children received more central nervous system items, endocrine items and autacoids than HIV positive children, whereas HIV positive children received more respiratory system agents, dermatological, ear, nose throat and antimicrobials items. Conclusion: The study showed that HIV positive children received significantly more prescriptions for other medication per year compared to their HIV negative counterparts. The top pharmacological groups mostly prescribed to both groups were respiratory agents, antimicrobials, analgesics, dermatological and ear, nose and throat items. / Thesis (M.Pharm. (Pharmacy Practice))--North-West University, Potchefstroom Campus, 2012.

Background: According to the United Nations AIDS Reference Group (2010) and World Health Organization (2010:2), approximately 33 million people in the world had HIV/AIDS in 2009 of which 2.6 million were children. More than 30 million of these individuals resided in low– and middle–income countries. South–Africa had the highest prevalence of HIV/AIDS in the world with an estimated 5.2 million patients in 2009 (Statistics South Africa, 2010:2). Although the prevalence of human immunodeficiency virus (HIV) infection among children is reported to be high, little is known about other medication administrated concomitantly with their antiretroviral drugs. Objective: The general objective of this study was to investigate possible changes in the medicine prescribing patterns of HIV/AIDS and non–HIV/AIDS children. Methods: A quantitative, retrospective drug utilisation review was performed utilising medicine claims data of a South African pharmacy benefit management company. Data for a four–year period (Jan 1, 2005 to Dec 31, 2008) were analysed. The study population consisted of all children <=12 years divided into those receiving ARVs (designated HIV positive) and those without (designated HIV negative). Descriptive statistics such as average mean, standard deviation, t–test, d–values, and two way frequency tables were used to describe the results. Data were analysed using the Statistical Analysis System ® SAS 9.1 ® programme. Results: The study population (children <= 12 years) represented 16.2% (n = 197 323) of the total population in 2005, 15.4% (n = 193 346) in 2006, 15.6% (n = 142 049) in 2007 and 13.3% (n = 98 939) in 2008. Children with HIV/AIDS represented 0.2% (n = 197 323) of the study population in 2005 and increased to 0.4% (n = 98 939) in 2008, whereas the percentage of children without HIV/AIDS decreased from 99.8% (n = 197 323) in 2005 to 99.6% (n = 98 939) in 2008. The total number of HIV/AIDS children that also received other medication concomitantly with their ARVs increased from 96.5% (n = 402) in 2005 to 97.2% (n = 427) in 2008. Males with HIV/AIDS who used other medication represented 52.6% (n = 388) in 2005 and increased to 53.3% in 2008 while female HIV/AIDS patients represented 47.4% in 2005 and decreased to 46.7% in 2008. Prescriptions containing three ARV items represented 69.5% (n = 2 969) of the total number of prescriptions received by HIV/AIDS patients in 2005 and decreased to 67.7% in 2008. The combination of lamivudine, nevirapine and stavudine were the three products that appeared most frequently on prescriptions for HIV/AIDS children in the age group 0 <= 1 years and 1 <= 5 years from 2005 to 2008. In the age group 5 <= 12 years the combination most frequently prescribed was lamivudine, nevirapine and zidovudine. HIV positive children received 6.2 ± 4.62 prescriptions for other medication (non–ARVs) per year during 2005 compared to HIV negative children with 3.9 ± 3.71 (p < 0.0001, d = 0.5). In 2008 HIV positive children received 6.4 ± 5.02 prescriptions per year compared to HIV negative patients who received 4.36 ± 4.05 prescriptions (p < 0.0001, d = 0.5) in 2008. HIV negative children received more central nervous system items, endocrine items and autacoids than HIV positive children, whereas HIV positive children received more respiratory system agents, dermatological, ear, nose throat and antimicrobials items. Conclusion: The study showed that HIV positive children received significantly more prescriptions for other medication per year compared to their HIV negative counterparts. The top pharmacological groups mostly prescribed to both groups were respiratory agents, antimicrobials, analgesics, dermatological and ear, nose and throat items. / Thesis (M.Pharm. (Pharmacy Practice))--North-West University, Potchefstroom Campus, 2012.

Infrastructure is presenting significant national and global challenges. Whilst often seen as performing well, infrastructure tends to do so against only limited terms of reference and short-term objectives. Given that the world is facing a new infrastructure bill of ~£40T, improving the benefits delivered by existing infrastructure is vital (Dobbs et al., 2013). This thesis investigates strategic intent and the management of infrastructure systems; how factors such as organisational structure and business practice affect outcomes and the ways in which those systems — not projects — are managed. To date, performance has largely been approached from the perspective of project investment and/or delivery, or the assessment of latent failures arising from specific shocks or disruptive events (e.g. natural disaster, infrastructure failures, climate change). By contrast, the delivery of system-level services and outcomes across the infrastructure system has been rarely examined. This is where infrastructure forms an enduring system of services, assets, projects, and networks each at different stages of their lifecycle, and affecting one another as they develop, then age. Yet system performance, which also includes societal, organisational, administrative and technical factors, is arguably the level relevant to, and the reality of, day-to-day public infrastructure management. This research firstly investigated industry perceptions in order to test and confirm the problem: the nub of which was the inability to fully deliver appropriate and relevant infrastructure outcomes over the long term. Three detailed studies then explored the reasons for this problem through different lenses; thereby providing an evidence-base for a range of issues that are shared by the wider infrastructure industry. In confirming its hypothesis that “the strategic intent and the day-to-day management of infrastructure systems are often misaligned, with negative consequences for achieving the desired long-term infrastructure system outcomes”, this research has increased our understanding of the ways in which that misalignment occurs, and the consequences that result. It found those consequences were material, and frequently not visible within the sub-system accountable for the delivery of those outcomes. That public infrastructure exists, not in its own right, but to be of benefit to society, is a central theme drawn from the definition of infrastructure itself. This research shows that it is not enough to be focused on technical outcomes. Infrastructure needs to move beyond how society interacts with an asset, to the outcomes that reflect the needs, beliefs, and choices of society as well as its ability to respond to change (aptitude). Although the research has confirmed its hypothesis and three supporting propositions, the research does not purport to offer ‘the solution’. Single solutions do not exist to address the challenges facing a complex adaptive system such as infrastructure. But the research does offer several system-oriented sense-making models at both the detailed and system-level. This includes the probing methodology by way of a diagnostic roadmap. These models aim to assist practitioners in managing the transition of projects, assets, and services into a wider infrastructure system, their potential, and in (re)orienting the organisation to the dynamic nature of the system and its societal imperative.