Planning and planning education in the Western Cape, South Africa

This paper presents an assessment of the experience of planning education programmes at the Cape Peninsula University of Technology (CPUT) in relation to the urban and regional context, and of how they respond to the emerging development challenges. The paper assesses the changing tertiary education landscape and the existing and potential complementarities that exist and/or may be forged in planning programmes offered in three of the tertiary institutions in the Cape Town region with the view to identify opportunities for reshaping our planning programmes for the twenty-first century

Prevalence and determinants of hypertension control among almost 100 000 treated adults in the UK

Objective To identify factors associated with hypertension control among treated middle-aged UK adults. Methods A cross-sectional population-based study including 99 468 previously diagnosed, treated hypertensives enrolled in the UK Biobank. Hypertension control was defined as systolic blood pressure Results Median age was 62.3 years (IQR 57.3 to 66.0), 45.9% female, 92.0% white, 40.1% obese, 9.3% current smokers and 19.4% had prior cardiovascular disease. 38.1% (95% CI 37.8% to 38.4%) were controlled. In multivariable logistic regression, associations with lack of hypertension control included: older age (OR 0.61, 95% CI 0.58 to 0.64 for 60–69 years compared with age 40–50 years), higher alcohol use (OR 0.61, 95% CI 0.58 to 0.64, for consuming >30 units per week compared with none), black ethnicity (OR 0.73, 95% CI 0.65 to 0.82 compared with white), obesity (OR 0.73, 95% CI 0.71 to 0.76 compared with normal body mass index). The strongest positive association with control was having ≥3 comorbidities (OR 2.09, 95% CI 1.95 to 2.23). Comorbidities associated with control included cardiovascular disease (OR 2.11, 95% CI 2.04 to 2.19), migraines (OR 1.68, 95% CI 1.56 to 1.81), diabetes (OR 1.32, 95% CI 1.27 to 1.36) and depression (OR 1.27, 95% CI 1.20 to 1.34). Conclusions In one of the largest population-based analyses of middle-aged adults with measured blood pressure, the majority of treated hypertensives were uncontrolled. Risk factors for hypertension were associated with a lower probability of control. Having a comorbidity was associated with higher probability of control, possibly due to more frequent interaction with the healthcare system and/or appropriate management of those at greater cardiovascular risk.</p

Hypertension, a dementia polygenic risk score, APOE genotype and incident dementia

Introduction There is inconsistent evidence on whether genetic risk for dementia modifies the association between hypertension and dementia. Methods In 198,965 dementia-free participants aged ≥60 years, Cox proportional-hazards models were used to investigate the association between hypertension and incident dementia. A polygenic risk score (PRS) based on 38 non-apolipoprotein E (APOE) single nucleotide polymorphisms and APOE ε4 status were used to determine genetic risk for dementia. Results Over 15 years follow-up, 6270 participants developed dementia. Hypertension was associated with a 19% increased risk of dementia (hazard ratio = 1.19, 95% confidence interval 1.11–1.27). The associations remained similar when stratifying by genetic risk, with no evidence for multiplicative interaction by dementia PRS (P = 0.20) or APOE ε4 status (P = 0.16). However, the risk difference between those with and without hypertension was larger among those at higher genetic risk. Discussion Hypertension was associated with an increased risk of dementia regardless of genetic risk for dementia

Availability of WHO essential medicines for cancer treatment in Botswana

Purpose Stock outs of cancer drugs are potentially fatal but have not been systematically studied in low- and middle-income countries. The aim of this study was to determine the availability and alignment of the Botswana National Essential Medicines List (NEML) for cancer drugs with the WHO’s Essential Medicines List (EML). Methods The availability and cost of cancer drugs were analyzed using data from a weekly stock catalog sent by Botswana’s Central Medical Store to all pharmacy departments in government hospitals. Comparative data were extracted from the WHO EML and the “International Drug Price Indicator Guide-2014” from the Management Sciences for Health. Interviews with key informants were used to collect data on the Botswana NEML and the drug supply chain in the public sector. Results The 2015 Botswana NEML for cancer had 80.5% alignment with the WHO EML. At least 40% of essential drugs were out of stock for a median duration of 30 days in 2015. Stock outs affected chemotherapy drugs included in first-line regimens for treating potentially curable diseases such as cervical, breast, and colorectal cancer and were not associated with buyer price of therapy. Analyses showed that the median price ratio for procured drugs was greater than 1 for 61% of the NEML drugs, which suggests inefficiency in procurement in the public sector. Conclusions Botswana has one of the highest alignments of NEML to the WHO EML in the sub-Saharan African region, which is consistent with investment in the health care system evident in other clinical spheres. Better quantification of chemotherapy requirements using data from the National Cancer Registry and resource-sensitive treatment guidelines can help reduce stock outs and facilitate more effective and efficient procurement processes

Treatment of chronic myeloid leukemia in rural Rwanda: promising early outcomes

Purpose The burden of cancer is rising in low- and middle-income countries, yet cancer treatment requires resources that are often not available in these settings. Although management of chronic myeloid leukemia (CML) has been described in low- and middle-income countries, few programs involve patients treated in rural settings. We describe characteristics and early outcomes of patients treated for CML at rural district hospitals in Rwanda. Methods We conducted a retrospective review of patients with confirmed BCR-ABL–positive CML who were enrolled between July 1, 2009 and June 30, 2014. Types of data included patient demographics, diagnostic work up, treatment, clinical examination, laboratory testing, and death. Results Forty-three patients were included, with a maximum follow-up of 58 months. Of 31 patients who were imatinib-naïve at enrollment, 54.8% were men and the median age at diagnosis was 36.9 years (interquartile range: 29-42 years). Approximately two-thirds of patients (67.7%) were on the national public insurance scheme. The imatinib dose was reduced for 16 patients and discontinued for five. Thirty-two of the 43 patients continued to have normal blood counts at last follow-up. Four patients have died and four are lost to follow-up. Conclusion Our experience indicates that CML can be effectively managed in a resource-constrained rural setting, despite limited availability of on-site diagnostic resources or specialty oncology personnel. The importance of model public-private partnerships as a strategy to bring high-cost, life-saving treatment to people who do not have the ability to pay is also highlighted

Availability of WHO Essential Medicines for Cancer Treatment in Botswana

Purpose: Stock outs of cancer drugs are potentially fatal but have not been systematically studied in low- and middle-income countries. The aim of this study was to determine the availability and alignment of the Botswana National Essential Medicines List (NEML) for cancer drugs with the WHO’s Essential Medicines List (EML). Methods: The availability and cost of cancer drugs were analyzed using data from a weekly stock catalog sent by Botswana’s Central Medical Store to all pharmacy departments in government hospitals. Comparative data were extracted from the WHO EML and the “International Drug Price Indicator Guide-2014” from the Management Sciences for Health. Interviews with key informants were used to collect data on the Botswana NEML and the drug supply chain in the public sector. Results: The 2015 Botswana NEML for cancer had 80.5% alignment with the WHO EML. At least 40% of essential drugs were out of stock for a median duration of 30 days in 2015. Stock outs affected chemotherapy drugs included in first-line regimens for treating potentially curable diseases such as cervical, breast, and colorectal cancer and were not associated with buyer price of therapy. Analyses showed that the median price ratio for procured drugs was greater than 1 for 61% of the NEML drugs, which suggests inefficiency in procurement in the public sector. Conclusions: Botswana has one of the highest alignments of NEML to the WHO EML in the sub-Saharan African region, which is consistent with investment in the health care system evident in other clinical spheres. Better quantification of chemotherapy requirements using data from the National Cancer Registry and resource-sensitive treatment guidelines can help reduce stock outs and facilitate more effective and efficient procurement processes

Methodology to forecast volume and cost of cancer drugs in low- and middle-income countries

Purpose In low- and middle-income countries (LMICs), frequent outages of the stock of cancer drugs undermine cancer care delivery and are potentially fatal for patients with cancer. The aim of this study is to describe a methodologic approach to forecast chemotherapy volume and estimate cost that can be readily updated and applied in most LMICs. Methods Prerequisite data for forecasting are population-based incidence data and cost estimates per unit of drug to be ordered. We used the supplementary guidelines from the WHO list of essential medicines for cancer to predict treatment plans and ordering patterns. We used de-identified aggregate data from the Botswana National Cancer Registry to estimate incident cases. The WHO Management Sciences for Health International Price Indicator was used to estimate unit costs per drug. Results Chemotherapy volume required for incident cancer cases was estimated as the product of the standardized dose required to complete a full treatment regimen per patient, with a given cancer diagnosis and stage, multiplied by the total number of incident cancer cases with the respective diagnosis. The estimated chemotherapy costs to treat the 10 most common cancers in the public health care sector of Botswana is approximately 2.3 million US dollars. An estimated 66% of the budget is allocated to costs of rituximab and trastuzumab alone, which are used by approximately 10% of the cancer population. Conclusion This method provides a reproducible approach to forecast chemotherapy volume and cost in LMICs. The chemotherapy volume and cost outputs of this methodology provide key stakeholders with valuable information that can guide budget estimation, resource allocation, and drug-price negotiations for cancer treatment. Ultimately, this will minimize drug shortages or outages and reduce potential loss of lives that result from an erratic drug supply

Cost of providing quality cancer care at the Butaro Cancer Center of Excellence in Rwanda

Purpose The cost of providing cancer care in low-income countries remains largely unknown, which creates a significant barrier to effective planning and resource allocation. This study examines the cost of providing comprehensive cancer care at the Butaro Cancer Center of Excellence (BCCOE) in Rwanda. Methods A retrospective costing analysis was conducted from the provider perspective by using secondary data from the administrative systems of the BCCOE. We identified the start-up funds necessary to begin initial implementation and determined the fiscal year 2013-2014 operating cost of the cancer program, including capital expenditures and fixed and variable costs. Results A total of &#36;556,105 US dollars was assessed as necessary start-up funding to implement the program. The annual operating cost of the cancer program was found to be &#36;957,203 US dollars. Radiotherapy, labor, and chemotherapy were the most significant cost drivers. Radiotherapy services, which require sending patients out of country because there are no radiation units in Rwanda, comprised 25% of program costs, labor accounted for 21%, and chemotherapy, supportive medications, and consumables accounted for 15%. Overhead, training, computed tomography scans, surgeries, blood products, pathology, and social services accounted for less than 10% of the total. Conclusion This study is one of the first to examine operating costs for implementing a cancer center in a low-income country. Having a strong commitment to cancer care, adapting clinical protocols to the local setting, shifting tasks, and creating collaborative partnerships make it possible for BCCOE to provide quality cancer care at a fraction of the cost seen in middle- and high-income countries, which has saved many lives and improved survival. Not all therapies, though, were available because of limited financial resources