Evidence map›Paper›PMID 32392883›Full record

ArticleInternational journal of environmental research and public health2020

A Data-informed Public Health Policy-Makers Platform.

Dario Brdarić, Senka Samardžić, Ivana Mihin Huskić, Giorgos Dritsakis, Jadran Sessa, Mariola Śliwińska-Kowalska, Małgorzata Pawlaczyk-Łuszczyńska, Ioannis Basdekis, George Spanoudakis

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Computing Techniques for Environmental Research and Public Health.International journal of environmental research and public health · 2021
    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

9 authors.

Dario BrdarićDepartment for Disinfection, Disinsection and Deratization, Institute of Public Health for the Osijek Baranya County, 31000 Osijek, Croatia.
Senka SamardžićDepartment for Disinfection, Disinsection and Deratization, Institute of Public Health for the Osijek Baranya County, 31000 Osijek, Croatia.
Ivana Mihin HuskićDepartment for Disinfection, Disinsection and Deratization, Institute of Public Health for the Osijek Baranya County, 31000 Osijek, Croatia.
Giorgos DritsakisEar Institute, University College London, London WC1E 6BT, UK.ORCID 0000-0002-2746-963X
Jadran SessaDipartimento di Informatica, Università degli Studi di Milano, 20133 Milano, Italy.
Mariola Śliwińska-KowalskaDepartment of Physical Hazard, Nofer Institute of Occupational Medicine, 91-348 Łódź, Poland.
Małgorzata Pawlaczyk-ŁuszczyńskaDepartment of Physical Hazard, Nofer Institute of Occupational Medicine, 91-348 Łódź, Poland.
Ioannis BasdekisDepartment of Computer Science, City University of London, London EC1V 0HB, UK.
George SpanoudakisDepartment of Computer Science, City University of London, London EC1V 0HB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hearing loss is a disease exhibiting a growing trend due to a number of factors, including but not limited to the mundane exposure to the noise and ever-increasing size of the older population. In the framework of a public health policymaking process, modeling of the hearing loss disease based on data is a key factor in alleviating the issues related to the disease and in issuing effective public health policies. First, the paper describes the steps of the data-driven policymaking process. Afterward, a scenario along with the part of the proposed platform responsible for supporting policymaking are presented. With the aim of demonstrating the capabilities and usability of the platform for the policy-makers, some initial results of preliminary analytics are presented in the framework of a policy-making process. Ultimately, the utility of the approach is validated throughout the results of the survey which was presented to the health system policy-makers involved in the policy development process in Croatia.

Indexed as

Health PolicyPolicy MakingCroatiaPublic HealthPublic Policybig data analyticshealthpolicymaking

Identifiers

PMID32392883
PMCPMC7246532

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.