Evidence map›Paper›PMID 35291758›Full record

ArticleInternational journal of population data science2021

Closing the loop: From system-based data to evidence-influenced policy and practice.

Alan Katz, Marni Brownell, Jennifer E Enns, Nathan C Nickel

Open access · goldAbstract read
In one paragraph

Article in International journal of population data science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  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

4 authors at 1 institution in 1 country.

Alan KatzManitoba Centre for Health Policy, University of Manitoba, 408-727 McDermot Ave, Winnipeg, MB R3E 3P5, Canada.
Marni BrownellManitoba Centre for Health Policy, University of Manitoba, 408-727 McDermot Ave, Winnipeg, MB R3E 3P5, Canada.
Jennifer E EnnsManitoba Centre for Health Policy, University of Manitoba, 408-727 McDermot Ave, Winnipeg, MB R3E 3P5, Canada.
Nathan C NickelManitoba Centre for Health Policy, University of Manitoba, 408-727 McDermot Ave, Winnipeg, MB R3E 3P5, Canada.
Manitoba Health · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For more than 30 years, the Manitoba Centre for Health Policy has been conducting research and evaluation to provide timely and critical evidence to answer real-world policy questions. Our experienced team of research scientists, analysts and other staff work extensively with policy-makers at the macro, meso and micro levels of government to support evidence-informed policy and program development in an effort to ensure that policy initiatives provide the greatest benefit possible to individuals and society as a whole. Using the widely recognized whole-population Manitoba Population Research Data Repository, which comprises approximately 100 different datasets from multiple sectors, we employ sophisticated and state-of-the-art research methods and data science technologies, and then translate the results into meaningful insights or recommendations for policy-makers. Our long and productive history of working with policy-makers has taught us much about making our research relevant to policy-makers. In this article, we outline some examples of how research evidence has been used to influence policy in Manitoba, and the key lessons we have learned about what makes relationships between researchers and policy-makers work. In essence, policy-makers have supported the growth of the Repository over the last 30 years, because researchers have "closed the loop" by sharing valuable and policy-relevant research results with them. This ability to inform policies, programs and service delivery with scientific evidence continues to benefit individuals, communities and our society as a whole.

Indexed as

Health PolicyPolicy MakingAdministrative PersonnelHumansManitobaResearch Personneldata analysisdata curationhealthcare policypolicy makerpopulation healthroutinely collected health data

Identifiers

PMID35291758
PMCPMC8896077
OpenAlexW4206902948

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.