ArticleJournal of global health2023
Assessing the quality and completeness of reporting in health systems guidance for pandemics using the AGREE-HS tool.
Article in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Assessing the quality for integrated guidelines: systematic comparison between the AGREE Ⅱ and AGREE-HS tools.BMC medical research methodology · 2025Article
- Panel stacking is a threat to consensus statement validity.Journal of clinical epidemiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: During health emergencies, leading healthcare organisations, such as the World Health Organization (WHO), the European Centre for Disease Control and Prevention (ECDC), and the United States Centers for Disease Control and Prevention (CDC), provide guidance for public health response. Previous studies have evaluated clinical practice guidelines (CPGs) produced in response to epidemics or pandemics, yet few have focused on public health guidelines and recommendations. To address this gap, we assessed health systems guidance (HSG) produced by the WHO, the ECDC, and the CDC for the 2009 H1N1 and COVID-19 pandemics. Methods: We extracted HSG for the H1N1 and COVID-19 pandemics from the organisations' dedicated repositories and websites. After screening the retrieved documents for eligibility, five assessors evaluated them using the Appraisal of Guidelines Research & Evaluation - Health Systems (AGREE-HS) tool to assess the completeness and transparency of reporting according to the five AGREE-HS domains: "Topic", "Participants", "Methods", "Recommendations", and "Implementability". Results: Following the screening process, we included 108 HSG in the analysis. We observed statistically significant differences between the H1N1 and COVID-19 pandemics, with HSG issued during COVID-19 receiving higher AGREE-HS scores. The HSG produced by the CDC had significantly lower overall scores and single-domain scores compared to the WHO and ECDC. However, all HSG scored relatively low, under the median of 40 total points (range = 10-70), indicating incomplete reporting. The HSG produced by all three organisations received a median score <4 (range = 1-7) for the "Participants", "Methods", and "Implementability" domains. Conclusions: There is still significant progress to be made in the quality and completeness of reporting in HSG issued during pandemics, especially regarding methodological approaches and the composition of the guidance development team. Due to their significant impact and importance for healthcare systems globally, HSG issued during future healthcare crises should adhere to best reporting practices to increase uptake by stakeholders and ensure public trust in healthcare organisations.
Indexed as
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What OpenQuestion holds
Registered trials
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.