Evidence map›Paper›PMID 31391120›Full record

ArticlePopulation health metrics2019

Evaluation of data availability on population health indicators at the regional level across the European Union.

Claudia Costa, Ângela Freitas, Iwa Stefanik, Thomas Krafft, Eva Pilot, Joana Morrison, Paula Santana

Abstract read
In one paragraph

Article in Population health metrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

7 authors.

Claudia CostaCentre of Studies in Geography and Spatial Planning (CEGOT), Department of Geography and Tourism, University of Coimbra, 3004-530, Coimbra, Portugal. claudiampcosta@uc.pt.ORCID 0000-0002-7422-6139
Ângela FreitasCentre of Studies in Geography and Spatial Planning (CEGOT), Department of Geography and Tourism, University of Coimbra, 3004-530, Coimbra, Portugal.
Iwa StefanikCentre of Studies in Geography and Spatial Planning (CEGOT), Department of Geography and Tourism, University of Coimbra, 3004-530, Coimbra, Portugal.
Thomas KrafftFaculty of Health, Medicine and Life Sciences (FHML), Care and Public Health Research Institute (CAPHRI), Department of Health, Ethics and Society, Maastricht University, Maastricht, The Netherlands.
Eva PilotFaculty of Health, Medicine and Life Sciences (FHML), Care and Public Health Research Institute (CAPHRI), Department of Health, Ethics and Society, Maastricht University, Maastricht, The Netherlands.
Joana MorrisonResearch Department of Epidemiology and Public Health, University College London, London, UK.
Paula SantanaCentre of Studies in Geography and Spatial Planning (CEGOT), Department of Geography and Tourism, University of Coimbra, 3004-530, Coimbra, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability to measure regional health inequalities across Europe and to build adequate population health indices depends significantly on the availability of reliable and comparable data at the regional level. Within the scope of the EU-funded project EURO-HEALTHY, a Population Health Index (PHI) was built. This model aggregates 39 indicators considered relevant by experts and stakeholders to evaluate and monitor population health on the regional level within the European Union (269 regions). The aim of this research was to assess the data availability for those indicators. As a subsequent aim, an adequate protocol to overcome issues arising from missing data will be presented, as well as key messages for both national and European statistical authorities meant to improve data collection on population health.

methodsThe methodology for the study includes three consecutive phases: (i) assessing the data availability for the respective indicators at the regional level for the last year available (ii) applying a protocol for missing data and completing the database and (iii) developing a scoring system ranging from 0 (no data available; worst) to 1 (all data available; best) to evaluate the availability of data by indicator and EU region.

resultsAlthough the missing data on the set of the PHI indicators was significant, the mean availability score for the EURO-HEALTHY PHI indicators is 0.8 and the regional availability score is 0.7, which reveal the strength of the indicators as well as the data completeness protocol for missing data.

conclusionsThis study provides a comprehensive data availability assessment for population health indicators from multiple areas of concern, at the EU regional level. The results highlight that the data completeness protocol and availability scores are suitable tools to apply on any indicator's data source mapping. It also raises awareness to the urgent need for sub-national data in several domains and for closing the data gaps between and within countries. This will require policies clearly focused on improving equity between regions and a coordinated effort from the producers of data (the EU28 national statistics offices and EUROSTAT) and the stakeholders who design policies at EU, regional and local level.

Indexed as

Access to InformationHealth Status DisparitiesHealth Status IndicatorsPopulation HealthCrimeData CollectionEducationEmploymentEuropean UnionHealth BehaviorHealth ExpendituresHealth ResourcesHumansIncomeLife StyleMorbidityData availabilityEURO-HEALTHYEuropean regionsIndicatorsNUTSPoliciesPopulation healthStatistics

Identifiers

PMID31391120
PMCPMC6686464

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.