The Impact of Sulphadoxine-Pyrimethamine Use At Scale on Newborn Outcomes in Nigeria

NCT ID: NCT02758353

Last Updated: 2016-05-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

31493 participants

Study Classification

INTERVENTIONAL

Study Start Date

2015-04-30

Study Completion Date

2015-11-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The purpose of this study is to test the feasibility of the scale-up of sulphadoxine- pyrimethamine (SP) for the preventive treatment of malaria in pregnancy in three Local Government Areas (LGAs) in Sokoto State, Nigeria. The scale-up strategy tested included the introduction of community-based distribution of SP in addition to ongoing health facility distribution during antenatal care (ANC) visits. In addition, the study examined for the effect of SP use by participants during pregnancy on the head circumference of live newborns and on the odds of a baby being a stillborn. Finally, the investigators also sought to quantify the costs associated with program scale up SP to deliver at least three doses of SP per participant via a government operated distribution program.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Study Objectives

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

See the medical conditions and disease areas that this research is targeting or investigating.

Malaria Stillbirths

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

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.

Group Type EXPERIMENTAL

Community distribution of SP

Intervention Type DRUG

SP delivered at both the community and facility level by trained CBHVs in three LGAs.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Community distribution of SP

SP delivered at both the community and facility level by trained CBHVs in three LGAs.

Intervention Type DRUG

Other Intervention Names

Discover alternative or legacy names that may be used to describe the listed interventions across different sources.

Community Distribution of SP to eligible participants

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. Participants must be pregnant.
2. Pregnant participants must have experienced quickening in course of gestation.
3. Participants must reside in an intervention or a counterfactual LGA.

Exclusion Criteria

1. Non-pregnant residents in a counterfactual or an intervention LGA.
2. Non-residents of counterfactual or intervention LGA.
Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Bill and Melinda Gates Foundation

OTHER

Sponsor Role collaborator

Federal Ministry of Health, Nigeria

OTHER_GOV

Sponsor Role collaborator

JSI Research & Training Institute, Inc.

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Nosa Orobaton

Senior Advisor, Global Health/Chief of Party

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Nosa G Orobaton, MD, DrPH

Role: PRINCIPAL_INVESTIGATOR

John Snow, Inc.

References

Explore related publications, articles, or registry entries linked to this study.

WHO. World Malaria Report 2015 [Internet]. 2015. Available from: http://apps.who.int/iris/bitstream/10665/200018/1/9789241565158_eng.pdf?ua=1

Reference Type BACKGROUND

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.

Reference Type BACKGROUND
PMID: 20126256 (View on PubMed)

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

Reference Type BACKGROUND

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.

Reference Type BACKGROUND
PMID: 11094267 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 17251080 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 25300703 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 26795602 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 25209487 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 10823776 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 23490427 (View on PubMed)

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

Reference Type BACKGROUND

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.

Reference Type DERIVED
PMID: 27814763 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

JSI-MIPP-NG #1

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

MiMBa Pregnancy Registry
NCT04825782 UNKNOWN