Evidence map›Paper›PMID 27540124›Full record

ArticleGlobal health, science and practice2016

The Tupange Project in Kenya: A Multifaceted Approach to Increasing Use of Long-Acting Reversible Contraceptives.

Michael Muthamia, Kenneth Owino, Paul Nyachae, Margaret Kilonzo, Mercy Kamau, Jane Otai, Mark Kabue, Nelson Keyonzo

Open access · diamondAbstract read
In one paragraph

Article in Global health, science and practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
7.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
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  10. Effect of family planning interventions on couple years of protection in Malawi.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2018
    Article
  11. Longitudinal Evaluation of the Tupange Urban Family Planning Program in Kenya.International perspectives on sexual and reproductive health · 2017
    Article
  12. Article
  13. Effective LARC Providers: Moving Beyond Training.Global health, science and practice · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Michael MuthamiaJhpiego, an affiliate of Johns Hopkins University, Nairobi, Kenya Michael.Muthamia@jhpiego.org.
Kenneth OwinoJhpiego, an affiliate of Johns Hopkins University, Nairobi, Kenya.
Paul NyachaeJhpiego, an affiliate of Johns Hopkins University, Nairobi, Kenya.
Margaret KilonzoJhpiego, an affiliate of Johns Hopkins University, Nairobi, Kenya.
Mercy KamauJhpiego, an affiliate of Johns Hopkins University, Nairobi, Kenya.
Jane OtaiJhpiego, an affiliate of Johns Hopkins University, Nairobi, Kenya.
Mark KabueJhpiego, an affiliate of Johns Hopkins University, Nairobi, Kenya.
Nelson KeyonzoJhpiego, an affiliate of Johns Hopkins University, Nairobi, Kenya.
Johns Hopkins University · USUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-acting reversible contraceptives (LARCs) are safe and highly effective, and they have higher continuation rates than short-acting methods. Because only a small percentage of sexually active women in Kenya use LARCs, the Tupange project implemented a multifaceted approach to increase uptake of LARCs, particularly among the urban poor. The project included on-site mentoring, whole-site orientation, commodity security, quality improvement, and multiple demand-promotion and service-provision strategies, in the context of wide method choice. We report on activities in Nairobi between July 2011 and December 2014, the project implementation period.

methodsWe used a household longitudinal survey of women of reproductive age to measure changes in the contraceptive prevalence rate (CPR) and other family planning-related variables. At baseline in July 2010, 2,676 women were interviewed; about 50% were successfully tracked and interviewed at endline in December 2014. A baseline service delivery point (SDP) survey of 112 health facilities and 303 service providers was conducted in July 2011, and an endline SDP survey was conducted in December 2014 to measure facility-based interventions. The SDP baseline survey was conducted after the household survey, as facilities were selected based on where clients said they obtained services.

resultsThe project led to significant increases in use of implants and intrauterine devices (IUDs). Uptake of implants increased by 6.5 percentage points, from 2.4% at baseline to 8.9% by endline, and uptake of IUDs increased by 2.1 percentage points, from 2.2% to 4.3%. By the endline survey, 37.7% of clients using pills and injectables at baseline had switched to LARCs. Contraceptive use among the poorest and poor wealth quintiles increased by 20.5 and 21.5 percentage points, respectively, from baseline to endline. Various myths and misconceptions reported about family planning methods declined significantly between baseline and endline.

conclusionTraining, commodity security, multiple service delivery models, and demand promotion were the cornerstones of a successful approach to reach the urban poor in Nairobi with LARCs.

Indexed as

Contraception BehaviorDrug ImplantsFamily Planning ServicesIntrauterine DevicesPatient Acceptance of Health CarePovertyAdolescentAdultContraceptive Agents, FemaleFemaleHealth FacilitiesHealth Knowledge, Attitudes, PracticeHealth Services AccessibilityHumansKenyaLong-Acting Reversible ContraceptionContraceptive Agents, FemaleDrug Implants

Identifiers

PMID27540124
PMCPMC4990161
OpenAlexW2508194977

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.