Evidence map›Paper›PMID 34435262›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2021

Improving Decision-Making for Population Health in Nonhealth Sectors in Urban Environments: the Example of the Transportation Sector in Three Megacities-the 3-D Commission.

Opeyemi Babajide, Diogo Correia Martins, Nason Maani, Salma M Abdalla, Eduardo J Gómez, Montira J Pongsiri, Sheila Tlou, Gabriel Matthew Leung, Georges C Benjamin, Eric Goosby and 6 more

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Opeyemi BabajideRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Diogo Correia MartinsRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Nason MaaniRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Salma M AbdallaRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA. abdallas@bu.edu.
Eduardo J GómezRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Montira J PongsiriRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Sheila TlouRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Gabriel Matthew LeungRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Georges C BenjaminRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Eric GoosbyRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Katie DainRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Jeanette VegaRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Zahra ZeinaliRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Sandro GaleaRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Jeffrey SturchioRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
Nana A Y Twum-DansoRockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncommunicable diseases (NCDs) represent a significant global public health burden. As more countries experience both epidemiologic transition and increasing urbanization, it is clear that we need approaches to mitigate the growing burden of NCDs. Large and growing urban environments play an important role in shaping risk factors that influence NCDs, pointing to the ineluctable need to engage sectors beyond the health sector in these settings if we are to improve health. By way of one example, the transportation sector plays a critical role in building and sustaining health outcomes in urban environments in general and in megacities in particular. We conducted a qualitative comparative case study design. We compared Bus Rapid Transit (BRT) policies in 3 megacities-Lagos (Africa), Bogotá (South America), and Beijing (Asia). We examined the extent to which data on the social determinants of health, equity considerations, and multisectoral approaches were incorporated into local politics and the decision-making processes surrounding BRT. We found that all three megacities paid inadequate attention to health in their agenda-setting, despite having considerable healthy transportation policies in principle. BRT system policies have the opportunity to improve lifestyle choices for NCDs through a focus on safe, affordable, and effective forms of transportation. There are opportunities to improve decision-making for health by involving more available data for health, building on existing infrastructures, building stronger political leadership and commitments, and establishing formal frameworks to improve multisectoral collaborations within megacities. Future research will benefit from addressing the political and bureaucratic processes of using health data when designing public transportation services, the political and social obstacles involved, and the cross-national lessons that can be learned from other megacities.

Indexed as

Noncommunicable DiseasesPopulation HealthCitiesHealth PolicyHumansNigeriaTransportationBRTHealth-in-all-policiesHealth policyHiAPMegacitiesSDoHSocial determinants of healthTransportation sector

Identifiers

PMID34435262
PMCPMC8440744

What OpenQuestion holds

Textmetadata
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.