Evidence map›Paper›PMID 32317835›Full record

ArticleMedical archives (Sarajevo, Bosnia and Herzegovina)2020

Evidence-based Public Health Policy Models Development and Evaluation using Big Data Analytics and Web Technologies.

Konstantinos Moutselos, Ilias Maglogiannis

Abstract read
In one paragraph

Article in Medical archives (Sarajevo, Bosnia and Herzegovina), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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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

2 authors.

Konstantinos MoutselosDepartment of Digital Systems, University of Piraeus, Greece.
Ilias MaglogiannisDepartment of Digital Systems, University of Piraeus, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccording to WHO, "health policy refers to decisions, plans, and actions that are undertaken to achieve specific health care goals within a society". Although policymaking is important to be based on scientific evidence, in many countries, evidence-informed decision-making remains the exception rather than the rule.

aimThis work presents a cloud-based Decision Support System for public health decision-making.

methodsIn CrowdHEALTH, the concept of a Public Health Policy (PHP) is directly connected with one or more Key Performance Indexes (KPIs). The design and technical details of the system implementations are reported, along with use case scenarios.

resultsThe Policy Development Toolkit presents a unique interface and point of reference for policymakers, allowing them to create policy models and obtain analytical results for evidence-based decisions and evaluations.

conclusionsThe hierarchical structure of the Public Health Policy Model offers versatility in the creation and handling of the policies, resulting in Health Analytics Tools Results Objects which offer quantitative policy support and provide the basis for meta-analytic operations.

Indexed as

Big DataData Interpretation, StatisticalPolicy MakingDecision Support TechniquesEvidence-Based MedicineHumansPublic Healthbig data in healthcarepolicy development toolkitPublic health policies

Identifiers

PMID32317835
PMCPMC7164729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.