Tanimola M. Akande
University of Ilorin
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PLOS ONE | 2012
Marleen E. Hendriks; Ferdinand W. N. M. Wit; Marijke Th. L. Roos; Lizzy M. Brewster; Tanimola M. Akande; Ingrid de Beer; Sayoki Mfinanga; Amos Kahwa; Peter Gatongi; Gert Van Rooy; Wendy Janssens; Judith Lammers; Berber Kramer; Igna Bonfrer; Esegiel Gaeb; Jacques van der Gaag; Tobias F. Rinke de Wit; Joep M. A. Lange; Constance Schultsz
Background Cardiovascular disease (CVD) is the leading cause of adult mortality in low-income countries but data on the prevalence of cardiovascular risk factors such as hypertension are scarce, especially in sub-Saharan Africa (SSA). This study aims to assess the prevalence of hypertension and determinants of blood pressure in four SSA populations in rural Nigeria and Kenya, and urban Namibia and Tanzania. Methods and Findings We performed four cross-sectional household surveys in Kwara State, Nigeria; Nandi district, Kenya; Dar es Salaam, Tanzania and Greater Windhoek, Namibia, between 2009–2011. Representative population-based samples were drawn in Nigeria and Namibia. The Kenya and Tanzania study populations consisted of specific target groups. Within a final sample size of 5,500 households, 9,857 non-pregnant adults were eligible for analysis on hypertension. Of those, 7,568 respondents ≥18 years were included. The primary outcome measure was the prevalence of hypertension in each of the populations under study. The age-standardized prevalence of hypertension was 19.3% (95%CI:17.3–21.3) in rural Nigeria, 21.4% (19.8–23.0) in rural Kenya, 23.7% (21.3–26.2) in urban Tanzania, and 38.0% (35.9–40.1) in urban Namibia. In individuals with hypertension, the proportion of grade 2 (≥160/100 mmHg) or grade 3 hypertension (≥180/110 mmHg) ranged from 29.2% (Namibia) to 43.3% (Nigeria). Control of hypertension ranged from 2.6% in Kenya to 17.8% in Namibia. Obesity prevalence (BMI ≥30) ranged from 6.1% (Nigeria) to 17.4% (Tanzania) and together with age and gender, BMI independently predicted blood pressure level in all study populations. Diabetes prevalence ranged from 2.1% (Namibia) to 3.7% (Tanzania). Conclusion Hypertension was the most frequently observed risk factor for CVD in both urban and rural communities in SSA and will contribute to the growing burden of CVD in SSA. Low levels of control of hypertension are alarming. Strengthening of health care systems in SSA to contain the emerging epidemic of CVD is urgently needed.
JAMA Internal Medicine | 2014
Marleen E. Hendriks; Ferdinand W. N. M. Wit; Tanimola M. Akande; Berber Kramer; Gordon K. Osagbemi; Zlata Tanović; Emily Gustafsson-Wright; Lizzy M. Brewster; Joep M. A. Lange; Constance Schultsz
IMPORTANCE Hypertension is a major public health problem in sub-Saharan Africa, but the lack of affordable treatment and the poor quality of health care compromise antihypertensive treatment coverage and outcomes. OBJECTIVE To report the effect of a community-based health insurance (CBHI) program on blood pressure in adults with hypertension in rural Nigeria. DESIGN, SETTING, AND PARTICIPANTS We compared changes in outcomes from baseline (2009) between the CBHI program area and a control area in 2011 through consecutive household surveys. Households were selected from a stratified random sample of geographic areas. Among 3023 community-dwelling adults, all nonpregnant adults (aged ≥18 years) with hypertension at baseline were eligible for this study. INTERVENTION Voluntary CBHI covering primary and secondary health care and quality improvement of health care facilities. MAIN OUTCOMES AND MEASURES The difference in change in blood pressure from baseline between the program and the control areas in 2011, which was estimated using difference-in-differences regression analysis. RESULTS Of 1500 eligible households, 1450 (96.7%) participated, including 564 adults with hypertension at baseline (313 in the program area and 251 in the control area). Longitudinal data were available for 413 adults (73.2%) (237 in the program area and 176 in the control area). Baseline blood pressure in respondents with hypertension who had incomplete data did not differ between areas. Insurance coverage in the hypertensive population increased from 0% to 40.1% in the program area (n = 237) and remained less than 1% in the control area (n = 176) from 2009 to 2011. Systolic blood pressure decreased by 10.41 (95% CI, -13.28 to -7.54) mm Hg in the program area, constituting a 5.24 (-9.46 to -1.02)-mm Hg greater reduction compared with the control area (P = .02), where systolic blood pressure decreased by 5.17 (-8.29 to -2.05) mm Hg. Diastolic blood pressure decreased by 4.27 (95% CI, -5.74 to -2.80) mm Hg in the program area, a 2.16 (-4.27 to -0.05)-mm Hg greater reduction compared with the control area, where diastolic blood pressure decreased by 2.11 (-3.80 to -0.42) mm Hg (P = .04). CONCLUSIONS AND RELEVANCE Increased access to and improved quality of health care through a CBHI program was associated with a significant decrease in blood pressure in a hypertensive population in rural Nigeria. Community-based health insurance programs should be included in strategies to combat cardiovascular disease in sub-Saharan Africa.
Global Health Action | 2014
Marleen E. Hendriks; Piyali Kundu; Alexander C. Boers; Oladimeji Akeem Bolarinwa; Mark J. te Pas; Tanimola M. Akande; Kayode Agbede; Gabriella B. Gomez; William K. Redekop; Constance Schultsz; Siok Swan Tan
Background Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information for efficient resource allocation. However, limited data availability and limited expertise constrain such studies in low- and middle-income countries (LMICs). Objective To describe a step-by-step guideline for conducting disease-specific costing studies in LMICs where data availability is limited and to illustrate how the guideline was applied in a costing study of cardiovascular disease prevention care in rural Nigeria. Design The step-by-step guideline provides practical recommendations on methods and data requirements for six sequential steps: 1) definition of the study perspective, 2) characterization of the unit of analysis, 3) identification of cost items, 4) measurement of cost items, 5) valuation of cost items, and 6) uncertainty analyses. Results We discuss the necessary tradeoffs between the accuracy of estimates and data availability constraints at each step and illustrate how a mixed methodology of accurate bottom-up micro-costing and more feasible approaches can be used to make optimal use of all available data. An illustrative example from Nigeria is provided. Conclusions An innovative, user-friendly guideline for disease-specific costing in LMICs is presented, using a mixed methodology to account for limited data availability. The illustrative example showed that the step-by-step guideline can be used by healthcare professionals in LMICs to conduct feasible and accurate disease-specific cost analyses.Background Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information for efficient resource allocation. However, limited data availability and limited expertise constrain such studies in low- and middle-income countries (LMICs). Objective To describe a step-by-step guideline for conducting disease-specific costing studies in LMICs where data availability is limited and to illustrate how the guideline was applied in a costing study of cardiovascular disease prevention care in rural Nigeria. Design The step-by-step guideline provides practical recommendations on methods and data requirements for six sequential steps: 1) definition of the study perspective, 2) characterization of the unit of analysis, 3) identification of cost items, 4) measurement of cost items, 5) valuation of cost items, and 6) uncertainty analyses. Results We discuss the necessary tradeoffs between the accuracy of estimates and data availability constraints at each step and illustrate how a mixed methodology of accurate bottom-up micro-costing and more feasible approaches can be used to make optimal use of all available data. An illustrative example from Nigeria is provided. Conclusions An innovative, user-friendly guideline for disease-specific costing in LMICs is presented, using a mixed methodology to account for limited data availability. The illustrative example showed that the step-by-step guideline can be used by healthcare professionals in LMICs to conduct feasible and accurate disease-specific cost analyses.
Journal of The International Association of Physicians in Aids Care (jiapac) | 2012
Rotimi Samuel Owolabi; Peter Alabi; Samuel Ajayi; Olusoji James Daniel; Adeniyi Ogundiran; Tanimola M. Akande; and Tunde Onafowokan
Objective: To assess the knowledge and practice of post exposure prophylaxis (PEP) against HIV infection among health care providers in University of Abuja Teaching Hospital (UATH). Methods: A cross-sectional survey conducted on 230 health care providers in UATH. Results: Majority (97.0%) of the respondents have heard about PEP, but only a few (30.9%) of them could correctly identify the drugs used and duration of PEP. A third of respondents have had one form of accidental exposure or the other. HIV test was carried out in about two-thirds (64.8%) of the source patients. Thirteen (28.3%) of the source patients were HIV-positive. Of the 13 respondents that were exposed to HIV-positive patients, only 3 (23.1%) received PEP, and these three completed PEP, while majority, 10/13 (76.9%) did not receive PEP in spite of their exposure to HIV-positive sources. Conclusion: The study shows that the knowledge and practice of PEP among health care providers are very poor.
PLOS ONE | 2015
Gabriela B. Gomez; Nicola L. Foster; Daniëlla Brals; Heleen E. Nelissen; Oladimeji Akeem Bolarinwa; Marleen E. Hendriks; Alexander C. Boers; Diederik van Eck; Nicole T. A. Rosendaal; Peju Adenusi; Kayode Agbede; Tanimola M. Akande; Michael Boele van Hensbroek; Ferdinand W. N. M. Wit; Catherine Hankins; Constance Schultsz
Background While the Nigerian government has made progress towards the Millennium Development Goals, further investments are needed to achieve the targets of post-2015 Sustainable Development Goals, including Universal Health Coverage. Economic evaluations of innovative interventions can help inform investment decisions in resource-constrained settings. We aim to assess the cost and cost-effectiveness of maternal care provided within the new Kwara State Health Insurance program (KSHI) in rural Nigeria. Methods and Findings We used a decision analytic model to simulate a cohort of pregnant women. The primary outcome is the incremental cost effectiveness ratio (ICER) of the KSHI scenario compared to the current standard of care. Intervention cost from a healthcare provider perspective included service delivery costs and above-service level costs; these were evaluated in a participating hospital and using financial records from the managing organisations, respectively. Standard of care costs from a provider perspective were derived from the literature using an ingredient approach. We generated 95% credibility intervals around the primary outcome through probabilistic sensitivity analysis (PSA) based on a Monte Carlo simulation. We conducted one-way sensitivity analyses across key model parameters and assessed the sensitivity of our results to the performance of the base case separately through a scenario analysis. Finally, we assessed the sustainability and feasibility of this program’s scale up within the State’s healthcare financing structure through a budget impact analysis. The KSHI scenario results in a health benefit to patients at a higher cost compared to the base case. The mean ICER (US
Journal of Hypertension | 2015
Marleen E. Hendriks; Oladimeji Akeem Bolarinwa; Heleen E. Nelissen; Alexander C. Boers; Gabriela B. Gomez; Siok Swan Tan; William K. Redekop; Peju Adenusi; Joep M. A. Lange; Kayode Agbede; Tanimola M. Akande; Constance Schultsz
46.4/disability-adjusted life year averted) is considered very cost-effective compared to a willingness-to-pay threshold of one gross domestic product per capita (Nigeria, US
The Pan African medical journal | 2014
Sunday Adedeji Aderibigbe; Foluke Adenike Olatona; Gafar Alawode; Oluwole Adeyemi Babatunde; Ambrose Itopa Onipe; Oladimeji Akeem Bolarinwa; Hafsat Abolore Ameen; Gordon K. Osagbemi; Eo Sanya; Adebunmi Oyeladun Olarinoye; Tanimola M. Akande
2012, 2,730). Our conclusion was robust to uncertainty in parameters estimates (PSA: median US
Journal of Hypertension | 2014
Heleen E. Nelissen; Marleen E. Hendriks; Ferdinand W. N. M. Wit; Oladimeji Akeem Bolarinwa; Gordon K. Osagbemi; Navin R. Bindraban; Joep M. A. Lange; Tanimola M. Akande; Constance Schultsz; Lizzy M. Brewster
49.1, 95% credible interval 21.9–152.3), during one-way sensitivity analyses, and when cost, quality, cost and utilization parameters of the base case scenario were changed. The sustainability of this program’s scale up by the State is dependent on further investments in healthcare. Conclusions This study provides evidence that the investment made by the KSHI program in rural Nigeria is likely to have been cost-effective; however, further healthcare investments are needed for this program to be successfully expanded within Kwara State. Policy makers should consider supporting financial initiatives to reduce maternal mortality tackling both supply and demand issues in the access to care.
PLOS ONE | 2016
Wendy Janssens; Jann Goedecke; Godelieve J. de Bree; Sunday Adedeji Aderibigbe; Tanimola M. Akande
Objective: To assess the costs of cardiovascular disease (CVD) prevention care according to international guidelines, in a primary healthcare clinic in rural Nigeria, participating in a health insurance programme. Methods: A micro-costing study was conducted from a healthcare provider perspective. Activities per patient per year (e.g. consultations, diagnostic tests) were based on clinical practice in the study clinic. Direct (e.g. staff, drugs) and indirect cost items (overheads) for each activity were measured. A cohort study, patient and staff observations, and interviews in the study clinic provided patient resource utilization data. Univariate sensitivity analyses were performed. Scenario analyses evaluated cost-saving options. The main outcome was the costs of CVD prevention care per patient per year. Results: The costs of CVD prevention care were United States dollars (USD) 144 (range 130–158) per patient per year. Direct costs were USD 82 and indirect costs were USD 62. The main cost drivers were drugs (USD 39) and diagnostic tests (USD 36). The costs of hypertension care were USD 118 (107–132) and that of diabetes care USD 263 (236–289) per patient per year. A combination of task-shifting from doctors to nurses, reduction of appointment frequencies, and minimal organ damage screening would result in a direct cost reduction of 42%. Conclusion: This is the first study to report the costs of CVD prevention care in sub-Saharan Africa, based on prospectively collected operational data. The costs observed in our study are unaffordable in many countries in sub-Saharan Africa, highlighting the need for innovative financing mechanisms to fund CVD prevention care.
International Journal of Cardiology | 2016
Marleen E. Hendriks; Nicole T.A. Rosendaal; Ferdinand W. N. M. Wit; Oladimeji Akeem Bolarinwa; Berber Kramer; Daniëlla Brals; Emily Gustafsson-Wright; Peju Adenusi; Lizzy M. Brewster; Gordon K. Osagbemi; Tanimola M. Akande; Constance Schultsz
Introduction Malaria has proven to be the most horrendous and intractable amongst the health problems confronting countries in the sub-Saharan Africa. This study aims to determine the ownership and utilisation of long lasting insecticide treated nets following free distribution campaign in a state in South West Nigeria. Methods Multi-stage sampling technique was used to recruit 2560 households spread across the 16 LGAs of the state. Interviewer administered standardized questionnaire was used for the survey. Data analysis was done using Stata 10 software. Results Sixty eight point six percent (68.6%) of the households had at least one under-five child living in the household while 32.6% had at least one pregnant woman living in the household. A total of 2440 (95.3%) households received LLIN during the campaign. Overall, the utilization rate for all respondents was 58.5%. Despite the fact that 2440 households received LLINs during the campaign, only 84.3% of them were seen to have hung theirs during the survey. Conclusion Coverage and ownership of LLINs increased significantly following the free distribution campaign. There was a discrepancy between net possession and net use with rate of use lower than possession. Post distribution educational campaign should be incorporated into future distribution campaigns to help increase net utilisation.