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COSTS AND COST EFFECTIVENESS OF TRAINING TRADITIONAL BIRTH ATTENDANTS TO REDUCE NEONATAL MORTALITY IN THE LUFWANYAMA NEONATAL SURVIVAL STUDY Christopher J. Gill MD MS Center for Global Health and Development Department of International Health Boston University School of Public Health ICIUM 2012, Antalya Turkey Background • Problem: Neonatal Mortality accounts for ~40% of ‘Under Five’ deaths • 75% due to perinatal conditions: birth asphyxia, hypothermia and sepsis • In areas with limited access to health services, Traditional Birth Attendants are a common source of basic obstetrical care • Response: The Lufwanyama Neonatal Survival Project (LUNESP) assessed the effectiveness of training TBAs in skills targeting birth asphyxia, hypothermia and sepsis. • Question: What is the cost effectiveness of this strategy? Setting and Methods • Setting: Lufwanyama, Zambia • Low population density: 6.4 persons/square kilometer • High neonatal mortality: ~40/1000 live births • Methods: Cluster randomized and controlled effectiveness trial • 120 TBAs randomized to intervention/control • Control TBAs continued standard of care • Intervention TBAs trained in two skill sets: • Neonatal resuscitation protocol • Antibiotics with Facilitated Referral • Primary endpoint: mortality by day 28 among live-born infants • Endpoints captured on ~3500 deliveries (97.9% of total enrolled) Lufwanyama facts: • 12 health posts/centers • No physicians • No hospitals Results of main study Death Rate on Day of Delivery: 19.9/1000 births (control) vs. 7.8/1000 births (intervention) RR = 0.4, 95% CI 0.19-0.83 Results from main trial • 1 death averted per 56 deliveries attended • Relative risk reduction 0.55 (95% CI 0.33 to 0.90) • Absolute risk reduction of 18 deaths / 1000 live births Key Question: But is it cost effective? Cost effectiveness analysis • Costs and effectiveness data taken directly from the trial • Cost effectiveness assessed from three perspectives 1. Financial – actual costs incurred during LUNESP 2. Economic – factors in additional costs from a societal perspective 3. 10-year forecasted economic analysis – models the cost effectiveness of the LUNESP interventions if applied programmatically • All costs adjusted for inflation, expressed in constant dollars • Discount rate of 3% • Key Outcomes: 1. Cost per delivery attended 2. Cost effectiveness: per life saved 3. Cost effectiveness: per DALY averted Results: Costs Fixed and variable costs for the LUNESP interventions (2011 US$) Cost item Total fixed costs Total variable costs Total costs Cost per program year Cost per birth Variable costs per birth Financial 2006-08 Cost % total 103,963 13,986 117,949 51,101 58.6 7.4 88.1 11.8 100.0 Economic 2006-08 Cost % total 111,864 15,771 127,635 55,571 63.7 8.3 87.6 12.4 100.0 Projected Economic 2011-20 Cost % total 214,792 81.6 48,321 18.4 263,114 100.0 27,533 34.1 6.3 Assumed main features of LUNESP except 100% task shifting: 1. TBA training 2. Program management Results: Cost effectiveness Multivariate sensitivity analyses Base case High impact scenario Conservative scenario Cost per death avoided 2003 694 2993 90% probability value 3811 1241 6468 80 28 119 90% probability value 152 49 258 Cost per birth attended 30.0 10.5 33.0 90% probability value 44.2 13.5 58.5 Cost per DALY averted Parameters varied in Monte Carlo: 1. Effect size 2. Average No. deliveries/month/TBA 3. Training workshop logistic costs 4. Costs Monitoring and Supervision Conclusions WHO classification of cost effectiveness of interventions: • ‘Cost effective’ if a DALY averted is less than three times per capita GDP • ‘Highly cost effective’ if less than per capita GDP • Zambia’s 2010 per capital GDP was 1500 dollars LUNESP’s interventions were ‘highly cost effective’ - even under most conservative assumptions • Intervention will be maximally cost effective in settings where TBAs are busier, and where local ownership of program is complete. • This approach can be recommended as high value for money. Acknowledgements Our team • Lora Sabin • David Hamer • Anna B Knapp • Nicholas Guerina • Grace Mazala • Joshua Kasimba • William MacLeod Our Funders • USAID • NIH/NIAID • AAP • UNICEF backups Overview of LUNESP study design STUDY OVERVIEW 12 Data collector assessments Intervention TBAs: Trained in AFR + NRP Deliveries Live births Week One Death Stillbirths Randomization of TBAs Week Four Death Verbal autopsies Death Stillbirths Death Control TBAs: Existing standard of care Deliveries Live births Week One Week Four Statistical analysis Assumptions for scenario analyses Parameter Base case High Impact Conservative # of TBAs trained together 60 80 60 Time for refresher workshop 2 1 2 Annual trainings needed 3 3 4 1.29 3.34 1.21 17.9/1000 live births 17.9/1000 live births 13.4/1000 live births (25% drop) Monthly Every other month Monthly Births/TBA/Month Effect size of intervention Monitoring Results: Costs for the three models One-way Sensitivity analyses: key drivers of CE Multivariate sensitivity analyses