Evidence map›Paper›PMID 42058604›Full record

ArticleBulletin of the World Health Organization2026

Data gaps affecting health-related sustainable development goal indicators.

Keyrellous Adib, Nagui Salama, Nicholas Letchford, Stefania Davia, Natasha Azzopardi-Muscat, Hans Henri P Kluge, David Novillo-Ortiz

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Keyrellous AdibHealth Systems Department, World Health Organization Regional Office for Europe, UN City, Marmorvej 51, DK-2100Copenhagen, Denmark.
Nagui SalamaHealth Systems Department, World Health Organization Regional Office for Europe, UN City, Marmorvej 51, DK-2100Copenhagen, Denmark.
Nicholas LetchfordHealth Systems Department, World Health Organization Regional Office for Europe, UN City, Marmorvej 51, DK-2100Copenhagen, Denmark.
Stefania DaviaHealth Systems Department, World Health Organization Regional Office for Europe, UN City, Marmorvej 51, DK-2100Copenhagen, Denmark.
Natasha Azzopardi-MuscatHealth Systems Department, World Health Organization Regional Office for Europe, UN City, Marmorvej 51, DK-2100Copenhagen, Denmark.
Hans Henri P KlugeWorld Health Organization Regional Office for Europe, Copenhagen, Denmark.
David Novillo-OrtizHealth Systems Department, World Health Organization Regional Office for Europe, UN City, Marmorvej 51, DK-2100Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the extent and distribution of missing data across health-related sustainable development goal (SDG) indicators in World Health Organization (WHO) regions, over time and by disaggregation and method of data collection. Methods: We conducted a descriptive cross-sectional analysis of health-related indicators from the United Nations SDG indicators database. Our analysis included data from 194 Member States between 2015 and 2024. We assessed the overall proportion of missing data by WHO region, variation over time, level of disaggregation, data timeliness and methods. Findings: We observed pronounced data gaps and inconsistencies across WHO regions and over time. At the target level, about one third of targets (8 out of 27) had over 90% missing data points, while 41 of 43 indicators had more than 90% missing data in 2024, compared with 11 indicators in 2019. At least one form of disaggregation was present in 72% of indicators, yet missing data did not vary significantly by disaggregation level. Across regions, the number of indicators with over 90% missing data ranged from 12 to 16. Methodological differences also influenced data availability: indicators relying on estimates had substantially higher coverage than those based solely on empirical data; 49% relied on estimates, 35% on empirical data and 16% on a combination of both. Conclusion: This study underscores critical limitations in the availability, timeliness and consistency of health-related SDG data across WHO regions, highlighting the need for strengthened data systems to support the monitoring of global health progress.

Indexed as

Data CollectionHealth Status IndicatorsSustainable DevelopmentCross-Sectional StudiesEvidence GapsGlobal HealthGoalsHumansUnited NationsWorld Health Organization

Identifiers

PMID42058604
PMCPMC13123436

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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.