15 research outputs found
Estimating the costs of induced abortion in Uganda: A model-based analysis
<p>Abstract</p> <p>Background</p> <p>The demand for induced abortions in Uganda is high despite legal and moral proscriptions. Abortion seekers usually go to illegal, hidden clinics where procedures are performed in unhygienic environments by under-trained practitioners. These abortions, which are usually unsafe, lead to a high rate of severe complications and use of substantial, scarce healthcare resources. This study was performed to estimate the costs associated with induced abortions in Uganda.</p> <p>Methods</p> <p>A decision tree was developed to represent the consequences of induced abortion and estimate the costs of an average case. Data were obtained from a primary chart abstraction study, an on-going prospective study, and the published literature. Societal costs, direct medical costs, direct non-medical costs, indirect (productivity) costs, costs to patients, and costs to the government were estimated. Monte Carlo simulation was used to account for uncertainty.</p> <p>Results</p> <p>The average societal cost per induced abortion (95% credibility range) was 140-64 million in annual national costs. Of this, the average direct medical cost was 49-86) and the average direct non-medical cost was 16-92 (139). Patients incurred 46-14 (20) on average.</p> <p>Conclusion</p> <p>Induced abortions are associated with substantial costs in Uganda and patients incur the bulk of the healthcare costs. This reinforces the case made by other researchers--that efforts by the government to reduce unsafe abortions by increasing contraceptive coverage or providing safe, legal abortions are critical.</p
Potential Cost-Effectiveness of Universal Access to Modern Contraceptives in Uganda
<div><h3>Background</h3><p>Over two thirds of women who need contraception in Uganda lack access to modern effective methods. This study was conducted to estimate the potential cost-effectiveness of achieving universal access to modern contraceptives in Uganda by implementing a hypothetical new contraceptive program (NCP) from both societal and governmental (Ministry of Health (MoH)) perspectives.</p> <h3>Methodology/Principal Findings</h3><p>A Markov model was developed to compare the NCP to the status quo or current contraceptive program (CCP). The model followed a hypothetical cohort of 15-year old girls over a lifetime horizon. Data were obtained from the Uganda National Demographic and Health Survey and from published and unpublished sources. Costs, life expectancy, disability-adjusted life expectancy, pregnancies, fertility and incremental cost-effectiveness measured as cost per life-year (LY) gained, cost per disability-adjusted life-year (DALY) averted, cost per pregnancy averted and cost per unit of fertility reduction were calculated. Univariate and probabilistic sensitivity analyses were performed to examine the robustness of results. Mean discounted life expectancy and disability-adjusted life expectancy (DALE) were higher under the NCP vs. CCP (28.74 vs. 28.65 years and 27.38 vs. 27.01 respectively). Mean pregnancies and live births per woman were lower under the NCP (9.51 vs. 7.90 and 6.92 vs. 5.79 respectively). Mean lifetime societal costs per woman were lower for the NCP from the societal perspective (1,987) and the MoH perspective (685). In the incremental analysis, the NCP dominated the CCP, i.e. it was both less costly and more effective. The results were robust to univariate and probabilistic sensitivity analysis.</p> <h3>Conclusion/Significance</h3><p>Universal access to modern contraceptives in Uganda appears to be highly cost-effective. Increasing contraceptive coverage should be considered among Uganda's public health priorities.</p> </div
Puerperal sepsis, the leading cause of maternal deaths at a Tertiary University Teaching Hospital in Uganda
BACKGROUND: Maternal mortality is highest in sub-Saharan Africa. In Uganda, the WHO- MDG 5 (aimed at reducing maternal mortality by 75 % between 1990 and 2015) has not been attained. The current maternal mortality ratio (MMR) in Uganda is 438 per 100,000 live births coming from 550 per 100,000 in 1990. This study sets out to find causes and predictors of maternal deaths in a tertiary University teaching Hospital in Uganda. METHODS: The study was a retrospective unmatched case control study which was carried out at the maternity unit of Mbarara Regional Referral Hospital (MRRH). The sample included pregnant women aged 15–49 years admitted to the Maternity unit between January 2011 and November 2014. Data from patient charts of 139 maternal deaths (cases) and 417 controls was collected using a standard audit/data extraction form. Multivariable logistic regression analysis was used to assess for the factors associated with maternal mortality. RESULTS: Direct causes of mortality accounted for 77.7 % while indirect causes contributed 22.3 %. The most frequent cause of maternal mortality was puerperal sepsis (30.9 %), followed by obstetric hemorrhage (21.6 %), hypertensive disorders in pregnancy (14.4 %), abortion complications (10.8 %). Malaria was the commonest indirect cause of mortality accounting for 8.92 %. On multivariable logistic regression analysis, the factors associated with maternal mortality were: primary or no education (OR 1.9; 95 % CI, 1.0–3.3); HIV positive sero-status (OR, 3.6; 95 % CI, 1.9–7.0); no antenatal care attendance (OR 3.6; 95 % CI, 1.8–7.0); rural dwellers (OR, 4.5; 95 % CI, 2.5–8.3); having been referred from another health facility (OR 5.0; 95 % CI, 2.9–10.0); delay to seek health care (delay-1) (OR 36.9; 95 % CI, 16.2–84.4). CONCLUSIONS: Most maternal deaths occur among mothers from rural areas, uneducated, HIV positive, unbooked mothers (lack of antenatal care), referred mothers in critical conditions and mothers delaying to seek health care. Puerperal sepsis is the leading cause of maternal deaths at Mbarara Regional Referral Hospital. Therefore more research into puerperal sepsis to describe the microbiology and epidemiology of sepsis is recommended
Mean incremental costs (per woman) and health outcomes comparing the new contraceptive program to the current contraceptive program in Uganda<sup>*</sup>.
<p>LYs – Life Years; ICER – Incremental Cost-Effectiveness Ratio.</p><p>*The NCP results in lower costs and improved outcomes i.e. dominates the CCP in the incremental analysis.</p
Tornado diagrams of univariate sensitivity analysis from the societal perspective.
<p>The diagram shows, for a comparison between the new contraceptive program and the current contraceptive program, the impact of uncertainty surrounding different variables on incremental cost (a) and incremental disability-adjusted life years (b). The most influential variables are shown.</p
Number and percentage of fecund married or unmarried, sexually active women in Uganda who desire contraception and the different kinds of contraceptive methods under the CCP and NCP<sup>*</sup>.
<p>CCP – Current Contraceptive Program; NCP – New Contraceptive Program.</p><p>*Assumes identical distribution of modern methods as is currently used.</p
Parameters of the Markov model.
<p>*Sensitivity ranges are based on 95% confidence intervals where available or represent +/−50% for costs and +/−20% for other parameters.</p>φ<p>Also probability of live birth. Calculated by subtracting ectopic pregancies, induced abortions, miscarriages and still births.</p>ψ<p>Maternal mortality.</p
Results of a cost-consequences analysis for a hypothetical cohort of 100,000 Ugandan women.
<p>CCP – Current Contraceptive Program; NCP – New Contraceptive Program; MoH – Ministry of Health; DALE – Disability-Adjusted Life Expectancy.</p