Policy Evaluation Network (PEN): Protocol for systematic literature review examining the evidence for impact of policies on across seven different policy domains
Version 2 2023-05-29, 15:08Version 2 2023-05-29, 15:08
Version 1 2022-05-23, 08:16Version 1 2022-05-23, 08:16
journal contribution
posted on 2023-05-29, 15:08authored byKevin Volf, Liam Kelly, Enrique García BengoecheaEnrique García Bengoechea, Bláthín Casey, Anna Gobis, Jeroen Lakerveld, Joanna Zukowska, Peter Gelius, Sven Messing, Sarah Forberger, Catherine B. Woods, Policy Evaluation Network (PEN) Consortium
Introduction: Over 40 million deaths annually are due to
noncommunicable diseases, 15 million of these are premature deaths
and physical inactivity contributes an estimated 9% to this figure.
Global responses have included the Sustainable Development Goals
(SDGs) and the Global Action Plan on Physical Activity (GAPPA). Both
point to policy action on physical activity (PA) to address change, yet
the impact of policy on PA outcomes is unknown. The protocol
described outlines the methodology for systematic literature reviews
that will be undertaken by the Policy Evaluation Network (PEN) to
address this knowledge gap.
Methods: The seven best investments for promotion of population PA
identified in the Toronto Charter highlighted seven policy domains
(schools, transport, urban design, primary health care systems, public
education, community-wide programmes and sport) which will form
the basis of these PEN reviews. Seven individual scientific literature
searches across six electronic databases will be conducted. Each will
use the key concepts of policy, PA, evaluation and a distinct concept
for each of the seven policy domains. This will be supplemented with a
search of the reference list of included articles. Methodological quality
will be assessed and overall effectiveness for each included study will
be described according to pre-determined criteria.
Conclusions: Each review will provide policy makers with a list of
policy statements and corresponding actions which the evidence has
determined impact on PA directly or indirectly. By collating the
evidence, and demonstrating the depth of the science base which
informs these policy recommendations, each review will provide
guidance to policymakers to use evidence-based or evidenceinformed policies to achieve the 15% relative reduction in physical
inactivity as defined by GAPPA.
Funding
Development of a structure identification methodology for nonlinear dynamic systems
F1000Research [Commercial Publisher] Health Research Board [Associate Organisation]
Note
peer-reviewed
Other Funding information
HRB, Federal Ministry of Education and Research (BMBF), Ministry of Education, University and Research (MIUR), The Netherlands Organisation for Health Research and Development (ZonMw), The University of Auckland, School of Population Health, The Research Council of Norway (RCN), The National Centre for Research and Development (NCBR), Institute National de la Recherche Agronomique (INRA)