Evidence map›Paper›PMID 37932747›Full record

SynthesisBMC women's health2023

Implementation strategies, facilitators, and barriers to scaling up and sustaining demand generation in family planning, a mixed-methods systematic review.

Ashraf Nabhan, Rita Kabra, Alyaa Ashraf, Fatma Elghamry, James Kiarie, Family Planning Research Collaborators

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. 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

6 authors at 2 institutions in 2 countries.

Ashraf NabhanDepartment of Obstetrics and Gynecology, Faculty of Medicine, Ain Shams University, Ramses Street, Cairo, Egypt. anabhan@med.asu.edu.eg.ORCID 0000-0003-4572-2210
Rita KabraDepartment of Sexual and Reproductive Health including UNDP/UNFPA/ UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, World Health Organization, Geneva, Switzerland.
Alyaa AshrafFaculty of Medicine, Ain Shams University, Cairo, Egypt.
Fatma ElghamryFaculty of Medicine, Ain Shams University, Cairo, Egypt.
James KiarieDepartment of Sexual and Reproductive Health including UNDP/UNFPA/ UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, World Health Organization, Geneva, Switzerland.
Family Planning Research Collaborators
Ain Shams University · EGWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundDemand generation aims to increase clients' desire to use family planning. The aim of this work was to systematically summarize strategies, facilitators, and barriers to scaling up and sustaining demand generation in family planning.

methodsWe searched electronic bibliographic databases from inception to October 2022. We included quantitative, qualitative, and mixed methods reports on demand generation strategies in family planning, regardless of country, language, publication status, or methodological limitations. We assessed abstracts, titles and full-text papers according to the inclusion criteria, extracted data, and assessed methodological quality of included reports. We used the convergent integrated approach and a deductive thematic synthesis to summarize demand generation themes and subthemes. We used the health system building blocks to synthesize the factors affecting implementation (barriers and facilitators). We used GRADE-CERQual to assess our confidence in the findings.

resultsForty-six studies (published 1990-2022) were included: forty-one quantitative, one qualitative, and four mixed methods). Three were from one high-income country, and forty three from LMIC settings. Half of reports were judged to be of unclear risk of bias. There were unique yet interrelated strategies of scaling-up demand generation for family planning. Interpersonal communication strategies increase adoption and coverage of modern contraceptive methods, but the effect on sustainability is uncertain. Mass media exposure increases knowledge and positive attitudes and may increase the intention to use modern contraceptive methods. Demand-side financing approaches probably increase awareness of contraceptives and the use of modern contraceptive methods among poor clients. Multifaceted Demand generation approaches probably improve adoption, coverage and sustainability of modern methods use. Factors that influence the success of implementing these strategies include users knowledge about family planning methods, the availability of modern methods, and the accessibility to services.

conclusionsDemand generation strategies may function independently or supplement each other. The myriad of techniques of the different demand generation strategies, the complexities of family planning services, and human interactions defy simplistic conclusions on how a specific strategy or a bundle of strategies may succeed in increasing and sustaining family planning utilization.

trial registrationSystematic review registration: Center for Open Science, osf.io/286j5.

Indexed as

ContraceptionFamily Planning ServicesContraceptive AgentsHealth ServicesHumansResearch DesignContraceptive AgentsDemand generationFamily planningScaling-up

Identifiers

PMID37932747
PMCPMC10629088
OpenAlexW4388440860

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.