“Off-label use” is defined as the use of medicine for indications other than recommended or registered for, e.g. the prescribing of a particular active substance for a patient younger than the substance is recommended or indicated for, or different formulations or dosages of a substance (Ekins-Daukes et al., 2004:349; Stedman’s medical dictionary, 2006). Off-label prescribing is common, and fluctuates by physician, patient and drug (Eguale et al., 2012:781). Drug classes most commonly prescribed off-label include anti-asthmatic, cardiovascular drugs and antidepressants. Lee et al. (2012:140) found that 9 out of 10 antidepressants prescribed were associated with unapproved usage of antidepressants. An antidepressant can be defined as a substance that prevents or relieves depression or depressive episodes (Mosby, 2009:115). There is paucity of information on the off-label prescribing practices of antidepressants in the South African private health sector. According to Eguale et al. (2012:781), the paucity of information on off-label prescribing practices may be, in part, ascribed to the difficulty in the establishment of reasons for treatment. The objective of this study was to determine the prescribing patterns of antidepressants as well as to identify off-label prescribing of antidepressants among adults in a section of the private health sector of South Africa by using a medicine claims database. A quantitative and observational, descriptive cross-sectional design was followed in this study. Data for a period of a year, from January to December 2010 were obtained for analysis. The data set consisted of medicine claims for a total number of 1 220 289 patients, containing a total of 8 515 428 prescriptions and 20 527 777 medicine items. The study population (patients receiving antidepressants 18 years and older) accounted for 14.8% (n = 1 220 289) of the total data set. The average age of patients receiving antidepressants was 56.1 ± 16.6 (median = 56.2) (Inter quartile range = 43.3–68.1). Results of the study showed that antidepressant prescriptions accounted for 8.3% (n = 8 515 428) of all prescriptions claimed during 2010. A total 3.5 % (n = 20 527 777) of antidepressants were claimed during the study period. Using the DU90% method it was established that the majority of antidepressant medicine items were prescribed by general practitioners (i.e. 75.7%, n = 702 285) and psychiatrists (14.9%, n = 702 285). Almost 72% (n = 702 885) of antidepressant medicine items claimed for the study population were for women. The most prescribed antidepressants (based on the DU90%) were amitriptyline (20.6%, n = 702 885), citalopram (19.2%), escitalopram (14.6%), fluoxetine (11.7%), venlafaxine (5.7%), paroxetine (5.2%), duloxetine (4.4%), sertraline (3.8%), bupropion (3.1%) and mirtazapine (2.6%). Amitriptyline accounted for 82.4% of off-label prescriptions (n = 2 635), whereas escitalopram and fluoxetine accounted for 4.2% and 3.8%, respectively. The tricyclic antidepressants (TCAs) were mostly prescribed off-label for migraine, headache and sleep disorders. The off-label prescribing of selective serotonin re-uptake inhibitors (SSRIs) included menopause, schizophrenia and headache. The off-label indicated prescriptions of the serotonin and noradrenaline re-uptake inhibitors (SNRIs) were mostly for schizophrenia and other anxiety disorders. Mirtazapine, a serotonin modulator/tetracyclic antidepressant, was mostly prescribed off-label for anxiety disorders. Off-label prescriptions for bupropion, a noradrenaline and dopamine re-uptake inhibitor mainly included other anxiety disorders and attention deficit hyperactivity disorder (ADHD). Furthermore, the prescribed daily dose (PDD) of each active antidepressant for all off-label indications was determined. In conclusion: This study investigated the off-label prescribing patterns of antidepressants among adults a section of the private health sector of a South Africa, using a large medicine claims database. Recommendations for future research were made. / MPham (Pharmacy Practice), North-West University, Potchefstroom Campus, 2014

“Off-label use” is defined as the use of medicine for indications other than recommended or registered for, e.g. the prescribing of a particular active substance for a patient younger than the substance is recommended or indicated for, or different formulations or dosages of a substance (Ekins-Daukes et al., 2004:349; Stedman’s medical dictionary, 2006). Off-label prescribing is common, and fluctuates by physician, patient and drug (Eguale et al., 2012:781). Drug classes most commonly prescribed off-label include anti-asthmatic, cardiovascular drugs and antidepressants. Lee et al. (2012:140) found that 9 out of 10 antidepressants prescribed were associated with unapproved usage of antidepressants. An antidepressant can be defined as a substance that prevents or relieves depression or depressive episodes (Mosby, 2009:115). There is paucity of information on the off-label prescribing practices of antidepressants in the South African private health sector. According to Eguale et al. (2012:781), the paucity of information on off-label prescribing practices may be, in part, ascribed to the difficulty in the establishment of reasons for treatment. The objective of this study was to determine the prescribing patterns of antidepressants as well as to identify off-label prescribing of antidepressants among adults in a section of the private health sector of South Africa by using a medicine claims database. A quantitative and observational, descriptive cross-sectional design was followed in this study. Data for a period of a year, from January to December 2010 were obtained for analysis. The data set consisted of medicine claims for a total number of 1 220 289 patients, containing a total of 8 515 428 prescriptions and 20 527 777 medicine items. The study population (patients receiving antidepressants 18 years and older) accounted for 14.8% (n = 1 220 289) of the total data set. The average age of patients receiving antidepressants was 56.1 ± 16.6 (median = 56.2) (Inter quartile range = 43.3–68.1). Results of the study showed that antidepressant prescriptions accounted for 8.3% (n = 8 515 428) of all prescriptions claimed during 2010. A total 3.5 % (n = 20 527 777) of antidepressants were claimed during the study period. Using the DU90% method it was established that the majority of antidepressant medicine items were prescribed by general practitioners (i.e. 75.7%, n = 702 285) and psychiatrists (14.9%, n = 702 285). Almost 72% (n = 702 885) of antidepressant medicine items claimed for the study population were for women. The most prescribed antidepressants (based on the DU90%) were amitriptyline (20.6%, n = 702 885), citalopram (19.2%), escitalopram (14.6%), fluoxetine (11.7%), venlafaxine (5.7%), paroxetine (5.2%), duloxetine (4.4%), sertraline (3.8%), bupropion (3.1%) and mirtazapine (2.6%). Amitriptyline accounted for 82.4% of off-label prescriptions (n = 2 635), whereas escitalopram and fluoxetine accounted for 4.2% and 3.8%, respectively. The tricyclic antidepressants (TCAs) were mostly prescribed off-label for migraine, headache and sleep disorders. The off-label prescribing of selective serotonin re-uptake inhibitors (SSRIs) included menopause, schizophrenia and headache. The off-label indicated prescriptions of the serotonin and noradrenaline re-uptake inhibitors (SNRIs) were mostly for schizophrenia and other anxiety disorders. Mirtazapine, a serotonin modulator/tetracyclic antidepressant, was mostly prescribed off-label for anxiety disorders. Off-label prescriptions for bupropion, a noradrenaline and dopamine re-uptake inhibitor mainly included other anxiety disorders and attention deficit hyperactivity disorder (ADHD). Furthermore, the prescribed daily dose (PDD) of each active antidepressant for all off-label indications was determined. In conclusion: This study investigated the off-label prescribing patterns of antidepressants among adults a section of the private health sector of a South Africa, using a large medicine claims database. Recommendations for future research were made. / MPham (Pharmacy Practice), North-West University, Potchefstroom Campus, 2014

This study set out to review and analyse aspects of antidepressant prescribing in children and adolescents in a section of the private health care sector of South Africa. The research was conducted in two phases, namely a literature review and an empirical investigation. The aim of the literature review was to provide background to the study by conceptualising antidepressants. The empirical review followed a retrospective, descriptive, observational design. The data employed in the study was obtained from the medicine claims database of a South African Pharmaceutical Benefit Management (PBM) company. The study population consisted of 3 611 children and adolescents receiving ≥1 antidepressants from 1 January 2010 to 31 December 2010. Basic descriptive statistics, such as frequency, prevalence, average, weighted average, standard deviation, weighted standard deviation, median, effect sizes, prescribed daily dosages and DU95% methodology were used to characterise the study sample, and were calculated using the Statistical Analysis System SAS® for Windows 9.3® program. The data were used to determine the prescribing patterns of antidepressants with regard to age, gender, geographic area, type of prescriber, the comparison of prescribed daily dosages vs. recommended daily dosages, and the prevalence of potential drug-drug interactions. Potential drug-drug interactions were identified and compiled by using various interaction compendia, whereas recommended daily dosages were identified by cross-referencing various dosage compendia. The study population consisted of 1 850 girls and 1 761 boys. The mean age of girls was 13.7 ± 3.9 years, vs. 12.3 ± 3.8 years for boys (d = 0.4). A total of 11 735 prescriptions containing 12 272 antidepressants were documented in 2010. Results of the study furthermore showed that the average number of prescriptions claimed per patient increased with age, from an average of 1.0 ± 0.28 among those up to the age of 2 years, to an average of 3.4 ± 3.21 among those 16 to 18 years of age. Prescribing with regard to age groups differed, rising gradually from birth and peaking at middle childhood for boys, whereas antidepressant use in girls increased from birth up to 6 years of age, reaching a plateau and increases again from age 13 and onward. Approximately 25% (n = 12 272) of antidepressants prescribed were either not indicated in children, or the dosages were deemed too high. More than 50% (n = 12 272) of antidepressants prescribed were in the Gauteng province. The SSRIs (selective serotonin re-uptake inhibitors) and the TCAs (tricyclic antidepressants) were the most prescribed antidepressants in both gender groups. The male-to-female ratio for the selective serotonin re-uptake inhibitors was 0.9, compared to 1.2 for the tricyclic antidepressants. The top three antidepressants prescribed were imipramine (21.8%), citalopram (15.3%) and escitalopram (14.7%, n = 12 272). Potential DDIs were observed on 284 (2.4%) (n = 11 743) prescriptions. The drug pairs with potential drug-drug interactions prescribed most, were imipramine with methylphenidate [43 cases (15.1%)] and valproic acid [38 cases (13.4%)], and followed by methylphenidate in combination with fluoxetine and sertraline [both documenting 32 cases (11.3%), respectively. The TCAs accounted for 182 (64.1%) cases of possible DDIs (drug-drug interactions), whereas combination therapy of SSRIs and TCAs accounted for 21.4% of potential DDIs. In conclusion, this study determined that there were a number of differences with regard to antidepressant prescribing in children and adolescents. Recommendations for future studies were made. / MPharm (Pharmacy Practice), North-West University, Potchefstroom Campus, 2014

This study set out to review and analyse aspects of antidepressant prescribing in children and adolescents in a section of the private health care sector of South Africa. The research was conducted in two phases, namely a literature review and an empirical investigation. The aim of the literature review was to provide background to the study by conceptualising antidepressants. The empirical review followed a retrospective, descriptive, observational design. The data employed in the study was obtained from the medicine claims database of a South African Pharmaceutical Benefit Management (PBM) company. The study population consisted of 3 611 children and adolescents receiving ≥1 antidepressants from 1 January 2010 to 31 December 2010. Basic descriptive statistics, such as frequency, prevalence, average, weighted average, standard deviation, weighted standard deviation, median, effect sizes, prescribed daily dosages and DU95% methodology were used to characterise the study sample, and were calculated using the Statistical Analysis System SAS® for Windows 9.3® program. The data were used to determine the prescribing patterns of antidepressants with regard to age, gender, geographic area, type of prescriber, the comparison of prescribed daily dosages vs. recommended daily dosages, and the prevalence of potential drug-drug interactions. Potential drug-drug interactions were identified and compiled by using various interaction compendia, whereas recommended daily dosages were identified by cross-referencing various dosage compendia. The study population consisted of 1 850 girls and 1 761 boys. The mean age of girls was 13.7 ± 3.9 years, vs. 12.3 ± 3.8 years for boys (d = 0.4). A total of 11 735 prescriptions containing 12 272 antidepressants were documented in 2010. Results of the study furthermore showed that the average number of prescriptions claimed per patient increased with age, from an average of 1.0 ± 0.28 among those up to the age of 2 years, to an average of 3.4 ± 3.21 among those 16 to 18 years of age. Prescribing with regard to age groups differed, rising gradually from birth and peaking at middle childhood for boys, whereas antidepressant use in girls increased from birth up to 6 years of age, reaching a plateau and increases again from age 13 and onward. Approximately 25% (n = 12 272) of antidepressants prescribed were either not indicated in children, or the dosages were deemed too high. More than 50% (n = 12 272) of antidepressants prescribed were in the Gauteng province. The SSRIs (selective serotonin re-uptake inhibitors) and the TCAs (tricyclic antidepressants) were the most prescribed antidepressants in both gender groups. The male-to-female ratio for the selective serotonin re-uptake inhibitors was 0.9, compared to 1.2 for the tricyclic antidepressants. The top three antidepressants prescribed were imipramine (21.8%), citalopram (15.3%) and escitalopram (14.7%, n = 12 272). Potential DDIs were observed on 284 (2.4%) (n = 11 743) prescriptions. The drug pairs with potential drug-drug interactions prescribed most, were imipramine with methylphenidate [43 cases (15.1%)] and valproic acid [38 cases (13.4%)], and followed by methylphenidate in combination with fluoxetine and sertraline [both documenting 32 cases (11.3%), respectively. The TCAs accounted for 182 (64.1%) cases of possible DDIs (drug-drug interactions), whereas combination therapy of SSRIs and TCAs accounted for 21.4% of potential DDIs. In conclusion, this study determined that there were a number of differences with regard to antidepressant prescribing in children and adolescents. Recommendations for future studies were made. / MPharm (Pharmacy Practice), North-West University, Potchefstroom Campus, 2014

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.

Text in English, with summaries and keywords in English, Sesotho and Afrikaans / This study is an enquiry into how The educator’s new clothes by Mark Rautenbach is an example of site-specific art. The aim is to demonstrate how boundaries in TENC become blurred between site-specific performance, other art forms, and every-day activities. The key concepts explored are: Rautenbach’s approach to the concept of site, the connections that develop between his performance and each site that he travels to; his use of the art gallery and viewer participation. Through literature study relevant theory is explored, and several arguments are applied in a selective manner to my analysis of TENC. Various International and South African site-specific artworks are discussed as an indication of how site-specificity can be applied in alternative ways. In October 2017 I installed GREENER?, a site-specific exhibition in the UNISA Art gallery. The works on the show underline the theoretical findings and highlight the flexible application of theory relating to site-specificity. / Dinyakišišo tše ke phatišišo mabapi le seo se dirago bokgabo bja The educator’s new clothes (TENC) ka Mark Rautenbach go ba mohlala wa bokgabo bja lefelong le itšego. Maikemišetšo ke go laetša ka fao ka go TENC mellwane magareng ga mošomo wa ka lefelong le mehuta ye mengwe ya bokgabo le mediro ya ka mehla di thomago go se sa bonagala gabotse. Mareo ao a šomišwago ke: mokgwa wa Rautenbach go kgopolo ya lefelo, dikgokagano tše di hlamegago magareng ga phethagatšo ya ya gagwe ya mošomo le lefelo le lengwe le le lengwe leo a yago go lona, tšhomišo ya gagwe ya kalari ya tša bokgabo le go kgatha tema ga babogedi. Ka go diriša dingwalwa teori ya maleba e a utollwa, gomme dintlha tše mmalwa di a dirišwa ka mokgwa wa go kgetha go tshekatsheko ya ka ya TENC. Mešomo ya bokgabo ya ka lefelong le itšego ya mehutahuta e a ahlaahlwa bjalo ka kutollo ya ka fao bokgabo bja ka mafelong bo ka dirišwago ka ditsela tše dingwe. Ka Oktoboro 2017 ke hlomile GREENER?, e lego pontšho ya bokgabo ya ka lefelong le itšego, ka Kalaring ya Bokgabo ya ka Unisa. Mešomo ye e bontšhitšwego e laeditše dikutollo tša teori le go laetša tirišo ye e fetogago ya teori mabapi le mešomo ya bokgabo ya ka lefelong le itšego. / Hierdie studie behels ʼn ondersoek na wat van The educator’s new clothes (TENC) deur Mark Rautenbach plekspesifieke kuns maak. Die oogmerk is om aan te toon hoe die grense tussen plekspesifieke uitvoering, ander kunsvorme en daaglikse bedrywighede vervaag. Die kernkonsepte wat verken word, is Rautenbach se beskouing van die konsep van plek, die verband tussen sy uitvoering en elke plek waarheen hy reis, sy aanwending van ʼn kunsgalery, en kykerdeelname. Die tersaaklike teorie word aan die hand van ʼn literatuurstudie verken, en ʼn aantal argumente word op selektiewe wyse op my ontleding van TENC toegepas. Verskeie internasionale en Suid-Afrikaanse plekspesifieke kunswerke word bespreek as ʼn verkenning van hoe plekspesifisiteit op ander maniere toegepas word. Ek het in Oktober 2017 ʼn plekspesifieke uitstalling met die titel GREENER? in die Unisa Kunsgalery gehou. Die werke wat uitgestal is, onderstreep die teoretiese bevindings en vestig die aandag op die buigsame toepassing van die teorie in verband met plekspesifisiteit. / Art History, Visual Arts and Musicology / M.V.A.