| Literature DB >> 22145859 |
Joseph B Babigumira1, Andy Stergachis, David L Veenstra, Jacqueline S Gardner, Joseph Ngonzi, Peter Mukasa-Kivunike, Louis P Garrison.
Abstract
BACKGROUND: 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.Entities:
Mesh:
Year: 2011 PMID: 22145859 PMCID: PMC3293098 DOI: 10.1186/1471-2458-11-904
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Decision tree showing the consequences of induced abortion in Uganda. A circle corresponds to a chance node (defined by the probability of an event occurring) and a triangle corresponds to an end node.
Average probabilities of induced abortion consequences, complications and treatment
| Probability | Mean (Low, High) | Reference |
|---|---|---|
| Induced abortion provider | ||
| Trained | 0.56 (0.38, 0.92) | [ |
| Untrained | 0.44 (0.21, 0.52) | [ |
| Trained provider | ||
| Doctor | 0.36 (0.29, 0.43) | [ |
| Clinical officer | 0.30 (0.24, 0.37) | [ |
| Nurse/Midwife | 0.34 (0.27, 0.41) | [ |
| Untrained provider | ||
| Dispenser | 0.16 (0.13, 0.19) | [ |
| Lay practitioner | 0.50 (0.40, 0.60) | [ |
| Self-induction | 0.34 (0.27, 0.41) | [ |
| Induced abortion failure | ||
| Trained provider | 0.0005 (0.0002, 0.0007) | [ |
| Untrained provider | 0.17 (0.14, 0.21) | Primary study |
| Complications | ||
| Doctor | 0.25 (0.17, 0.32) | [ |
| Clinical officer | 0.45 (0.33, 0.48) | [ |
| Nurse/Midwife | 0.42 (0.35, 0.43) | [ |
| Dispenser | 0.50 (0.45, 0.52) | [ |
| Lay practitioner | 0.66 (0.60, 0.68) | [ |
| Self-induction | 0.73 (0.66, 0.75) | [ |
| Treatment of complications | ||
| Hospital treatment | 0.44 (0.35, 0.52) | [ |
| Out-patient treatment | 0.56 (0.45, 0.68) | [ |
| Access to care | 0.67 (0.51, 0.83) | [ |
| Abortion mortality | ||
| In-hospital | 0.02 (0.01, 0.03) | [ |
| Community | 0.05 (0.03, 0.07) | Assumption |
| Failed abortion (Pregnancy) | ||
| Births | 0.87 (0.69, 1.00) | [ |
| Miscarriage (13-22 weeks) | 0.03 (0.02, 0.04) | [ |
| Miscarriage (< 13 weeks) | 0.10 (0.08, 0.12) | Assumption |
| Hospital delivery | 0.39 (0.23, 0.58) | [ |
| Perinatal mortality | ||
| In-hospital | 0.007 (0.005, 0.008) | [ |
| Community | 0.013 (0.011, 0.016) | Assumption |
Itemized costs (2010 $US) used in the analysis
| Cost category | Base-case | Range | Reference |
|---|---|---|---|
| Abortion procedure costs | |||
| Doctor | 93.97 | 51.51-149.14 | [ |
| Clinical officer | 55.68 | 38.12-82.26 | [ |
| Nurse/Midwife | 42.13 | 28.09-62.01 | [ |
| Dispenser | 17.05 | 10.03-28.09 | [ |
| Lay practitioner | 37.12 | 24.08-58.16 | [ |
| Self-induction | 11.54 | 8.03-18.06 | [ |
| Productivity | 1.14 | 0.57-2.29 | Primary study |
| Hospital complications | |||
| Personnel | 19.31 | 9.74-38.63 | [ |
| Supplies | 11.45 | 10.94-11.85 | [ |
| Drugs | 6.67 | 5.6-8.3 | [ |
| Diagnostic tests | 14.94 | 14.31-15.41 | [ |
| Overhead and capital | 10.35 | 8.67-12.04 | [ |
| Productivity | 23.76 | 20.52 - 32.84 | Primary study |
| Out-patient complications | |||
| Personnel | 1.01 | 0.51 - 2.04 | [ |
| Supplies | 1.50 | 0.71 - 2.97 | [ |
| Drugs | 1.20 | 1.14 - 1.36 | [ |
| Diagnostic tests | 4.98 | 4.31 - 5.20 | [ |
| Overhead and capital | 1.95 | 0.97 - 3.89 | [ |
| Productivity | 1.14 | 0.57 - 2.29 | Primary study |
| Other costs | |||
| Antenatal care | 10.09 | 5.05 - 20.18 | [ |
| Hospital delivery | 116.63 | 58.32 - 233.26 | [ |
| Transport | 2.49 | 1.42 - 3.03 | Primary study |
| Upkeep | 11.59 | 9.11 - 14.06 | Primary study |
| Out of pocket$ | 1.48 | 0.74 - 2.95 | Primary study |
| Annual productivity loss* | 474.27 | -- | [ |
*Equivalent to GDP per capita at the real exchange rate
$ Costs incurred by patients to procure inputs such as drugs and gloves that may be out of stock at a health facility
Average costs ($ US, Year 2010 values) of induced abortion in Uganda by the different cost categories
| Cost | Mean | SD | 95% CR | Minimum | Maximum |
|---|---|---|---|---|---|
| Direct Medical | 65.3 | 9.4 | 49.3 - 86.4 | 39.3 | 113.1 |
| Direct Non-Medical | 19.4 | 1.9 | 15.9 - 23.3 | 13.4 | 28.5 |
| Indirect/Productivity | 92.4 | 21.2 | 57.2 - 138.7 | 37.5 | 198.0 |
| Government | 14.0 | 2.7 | 9.7 - 20.2 | 6.5 | 31.2 |
| Patient | 61.7 | 9.4 | 46.2 - 83.2 | 31.1 | 110.0 |
| Societal | 177.4 | 21.5 | 139.6 - 223.3 | 114.6 | 275.4 |
SD - Standard Deviation; CR - Credibility Range
Figure 2Tornado diagram of univariate sensitivity analysis. The 20 most influential variables are shown.