Evidence map›Paper›PMID 36593791›Full record

ReviewEClinicalMedicine2023

Public leadership for gender equality: A framework and capacity development approach for gender transformative policy change.

Alex Munive, Jenn Donville, Gary L Darmstadt

Abstract readReview
In one paragraph

Review in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

Alex MuniveDepartment of Pediatrics, Global Center for Gender Equality, Stanford University School of Medicine, Stanford, CA 94305, USA.
Jenn DonvilleDepartment of Pediatrics, Global Center for Gender Equality, Stanford University School of Medicine, Stanford, CA 94305, USA.
Gary L DarmstadtDepartment of Pediatrics, Global Center for Gender Equality, Stanford University School of Medicine, Stanford, CA 94305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public leadership is essential in social change, and pivotal in transforming social and institutional norms related to gender inequality, going well beyond equal representation. It must embrace the potential for all public health leaders, of all genders, to become agents of change who challenge gender injustices and institutionalise gender transformative policies and programmes in public health. To support officials, initially in Ethiopia, and catalyse transformative change, we created a new framework and capacity development approach - Public Leadership for Gender Equality (PL4GE) - which can be customised to respond to each country's context. Drawing from three areas of leadership thought - public, transformative, and feminist leadership - PL4GE takes a public values approach in positioning gender equality as a human right, a common good, and a means to improve health outcomes. PL4GE promotes six key leadership practices - defining purpose and articulating vision, co-creating public value, empowering people, fostering strategic partnerships, navigating power, and embodying personal commitment - and guides public leaders through a capacity development journey of change, facilitating them to identify and activate opportunities for gender transformative change in their work and in turn, more broadly within the public whom they serve. Funding: Bill & Melinda Gates Foundation INV-002664 to Stanford University.

Indexed as

Common goodFeminist leadershipGender equalityPublic leadershipPublic valueTransformative leadership

Identifiers

PMID36593791
PMCPMC9803695

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.