The Impact of Sulphadoxine-Pyrimethamine Use At Scale on Newborn Outcomes in Nigeria
NCT ID: NCT02758353
Last Updated: 2016-05-02
Study Results
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Basic Information
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COMPLETED
NA
31493 participants
INTERVENTIONAL
2015-04-30
2015-11-30
Brief Summary
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Detailed Description
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The study objectives were to:
1. Examine scale-up mechanisms that enable increased SP coverage through community-based primary health care delivery, without reducing facility uptake of SP.
2. Examine community acceptance of SP and the likelihood of long-term community-sustained demand.
3. Document associations, if any, between increased SP coverage and improved intrauterine conditions for newborn, as measured by head circumference increments and declines in still birth rates.
4. Estimate the costs of delivering SP at scale per woman for a three doses or higher regimen.
Study Location and Relevant Contextual Information
The study was undertaken in four LGAs: Dange Shuni Goronyo and Silame (combined 2015 population, according to official Sokoto State estimates = 661,606) LGAs which were purposively selected as intervention LGAs; and Yabo LGA, the fourth (2015 population, according to official Sokoto State estimates = 167,971), was purposively selected as the counterfactual LGA. The selection criteria were that all LGAs had a high prevalence of malaria in pregnancy and that at one LGA each in the intervention group, was selected from each of the State's three senatorial zones.
Sampling Size Considerations
Given the intention of the study to examine the prospects of scaling up an already existing program, to reach all eligible pregnant participants, no sampling regimen was included in this study.
Data Collection Procedures
The community-based health volunteer (CBHV) system has an inbuilt data collection system managed by a community drug keeper (CDK) and a supervising facility-based health worker to monitor distribution at the community level. Investigators used an outcome form to collect data. Data captured in the outcome form included the condition of the newborn and mother at birth, of the newborn at birth-live birth or stillbirth-at days 7, 14 and 28 postpartum. For this study, the investigators modified the outcome form to also capture the number of SP doses a participant received and date/month the participant got them. The modified outcome form also collected data on a pregnant participant's primipara status, ANC status, gestation in months at time of delivery, the state of newborns (live or stillborn), sex of the newborn and head circumference measurements.
Nominal cost and expense data in 2015 Nigerian Naira (NGN) directly related to community and facility distribution of SP in the intervention and counterfactual LGAs were obtained from project records and other sources. The cost estimates obtained are what it would cost the state government and LGAs as de facto providers of primary health care in Nigeria, to deliver SP-related services at both the community and facility level, including start-up costs. Six cost centers were included in the analyses: health facility, LGA technical administration, CBHV supervisors, ward development committees, CBHV, and logistics for SP distribution.
Data Quality Procedures
Twelve teams of four data quality auditors, independent of other project staff, were recruited to track data quality obtained from communities. Each team comprised of three females and one supervisor. Over the life of the project, the teams visited all the participants recorded with at least one birth-that occurred during the project-in the 42 wards of the three intervention and one counterfactual LGAs. The data auditors also sought for and compiled information on omitted mothers and births. The auditors were expected to directly inquire of a participant-or an informed family member - in the event of a maternal death-if a CBHV and CBHV Supervisor visited, the status of newborns, alive or stillborn, and if head circumference was measured within seven days among live births. With participants' responses as the gold standard, births, status of births, and confirmed head circumference measurements were verified.
Statistical Analyses
Programmatic data was used to assess the coverage of SP doses during pregnancy in the intervention and counterfactual LGA's. Univariate and multivariate analyses were used by investigators to test associations between doses of SP and newborn head circumference and the odds of stillbirth. These analyses were conducted in Statistical Analysis System (SAS) v.9 and excel.
For cost data, the investigators calculated two ratios: cost per dose and cost per woman served, disaggregated by number of SP doses in the intervention and and counterfactual group. Analyses were conducted in Excel®.
Conditions
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Study Design
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NA
SINGLE_GROUP
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Community distribution of SP
All the eligible pregnant women were reached with SP either at health clinic and/or at community/household level with sulphadoxine-pyrimethamine (SP). Alerts and reminders were sent to them by community-based health volunteers ahead of subsequent SP doses.
Community distribution of SP
SP delivered at both the community and facility level by trained CBHVs in three LGAs.
Interventions
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Community distribution of SP
SP delivered at both the community and facility level by trained CBHVs in three LGAs.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. Pregnant participants must have experienced quickening in course of gestation.
3. Participants must reside in an intervention or a counterfactual LGA.
Exclusion Criteria
2. Non-residents of counterfactual or intervention LGA.
FEMALE
Yes
Sponsors
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Bill and Melinda Gates Foundation
OTHER
Federal Ministry of Health, Nigeria
OTHER_GOV
JSI Research & Training Institute, Inc.
OTHER
Responsible Party
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Nosa Orobaton
Senior Advisor, Global Health/Chief of Party
Principal Investigators
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Nosa G Orobaton, MD, DrPH
Role: PRINCIPAL_INVESTIGATOR
John Snow, Inc.
References
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WHO. World Malaria Report 2015 [Internet]. 2015. Available from: http://apps.who.int/iris/bitstream/10665/200018/1/9789241565158_eng.pdf?ua=1
Dellicour S, Tatem AJ, Guerra CA, Snow RW, ter Kuile FO. Quantifying the number of pregnancies at risk of malaria in 2007: a demographic study. PLoS Med. 2010 Jan 26;7(1):e1000221. doi: 10.1371/journal.pmed.1000221.
Partnership RBM. Roll Back Malaria Annual Report 2013 [Internet]. [cited 2016 Feb 21]. Available from: http://www.rollbackmalaria.org/files/files/resources/RBM-Annual-Report- 2013(1).pdf
Onwujekwe O, Chima R, Okonkwo P. Economic burden of malaria illness on households versus that of all other illness episodes: a study in five malaria holo-endemic Nigerian communities. Health Policy. 2000 Nov 17;54(2):143-59. doi: 10.1016/s0168-8510(00)00105-6.
Desai M, ter Kuile FO, Nosten F, McGready R, Asamoa K, Brabin B, Newman RD. Epidemiology and burden of malaria in pregnancy. Lancet Infect Dis. 2007 Feb;7(2):93-104. doi: 10.1016/S1473-3099(07)70021-X.
Radeva-Petrova D, Kayentao K, ter Kuile FO, Sinclair D, Garner P. Drugs for preventing malaria in pregnant women in endemic areas: any drug regimen versus placebo or no treatment. Cochrane Database Syst Rev. 2014 Oct 10;2014(10):CD000169. doi: 10.1002/14651858.CD000169.pub3.
Blencowe H, Cousens S, Jassir FB, Say L, Chou D, Mathers C, Hogan D, Shiekh S, Qureshi ZU, You D, Lawn JE; Lancet Stillbirth Epidemiology Investigator Group. National, regional, and worldwide estimates of stillbirth rates in 2015, with trends from 2000: a systematic analysis. Lancet Glob Health. 2016 Feb;4(2):e98-e108. doi: 10.1016/S2214-109X(15)00275-2. Epub 2016 Jan 19.
Villar J, Cheikh Ismail L, Victora CG, Ohuma EO, Bertino E, Altman DG, Lambert A, Papageorghiou AT, Carvalho M, Jaffer YA, Gravett MG, Purwar M, Frederick IO, Noble AJ, Pang R, Barros FC, Chumlea C, Bhutta ZA, Kennedy SH; International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st). International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project. Lancet. 2014 Sep 6;384(9946):857-68. doi: 10.1016/S0140-6736(14)60932-6.
Menendez C, Ordi J, Ismail MR, Ventura PJ, Aponte JJ, Kahigwa E, Font F, Alonso PL. The impact of placental malaria on gestational age and birth weight. J Infect Dis. 2000 May;181(5):1740-5. doi: 10.1086/315449. Epub 2000 May 15.
McClure EM, Goldenberg RL, Dent AE, Meshnick SR. A systematic review of the impact of malaria prevention in pregnancy on low birth weight and maternal anemia. Int J Gynaecol Obstet. 2013 May;121(2):103-9. doi: 10.1016/j.ijgo.2012.12.014. Epub 2013 Mar 13.
WHO. Consensus Statement: Optimizing the Delivery of Malaria-inPregnancy Interventions [Internet]. 2013 [cited 2016 Feb 21]. Available from: http://www.pmi.gov/docs/default-source/default-document-library/toolscurricula/consensusreport_malariapregnancy.pdf?sfvrsn=4
Orobaton N, Austin AM, Abegunde D, Ibrahim M, Mohammed Z, Abdul-Azeez J, Ganiyu H, Nanbol Z, Fapohunda B, Beal K. Scaling-up the use of sulfadoxine-pyrimethamine for the preventive treatment of malaria in pregnancy: results and lessons on scalability, costs and programme impact from three local government areas in Sokoto State, Nigeria. Malar J. 2016 Nov 4;15(1):533. doi: 10.1186/s12936-016-1578-x.
Other Identifiers
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JSI-MIPP-NG #1
Identifier Type: -
Identifier Source: org_study_id
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