Evidence map›Paper›PMID 35601655›Full record

ArticleGlobal policy2022

Taking Systems Thinking to the Global Level: Using the WHO Building Blocks to Describe and Appraise the Global Health System in Relation to COVID-19.

Josephine Borghi, Garrett W Brown

Open access · hybridAbstract read
In one paragraph

Article in Global policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 2 institutions in 1 country.

Josephine BorghiLondon School of Hygiene and Tropical Medicine London UK.
Garrett W BrownUniversity of Leeds Leeds UK.
London School of Hygiene & Tropical Medicine · GBUniversity of Leeds · GB

Funding

Medical Research Council MR/R013454/1
6 · The paper itself

Abstract

Adequately preparing for and containing global shocks, such as COVID-19, is a key challenge facing health systems globally. COVID-19 highlights that health systems are multilevel systems, a continuum from local to global. Goals and monitoring indicators have been key to strengthening national health systems but are missing at the supranational level. A framework to strengthen the global system-the global health actors and the governance, finance, and delivery arrangements within which they operate-is urgently needed. In this article, we illustrate how the World Health Organization Building Blocks framework, which has been used to monitor the performance of national health systems, can be applied to describe and appraise the global health system and its response to COVID-19, and identify potential reforms. Key weaknesses in the global response included: fragmented and voluntary financing; non-transparent pricing of medicines and supplies, poor quality standards, and inequities in procurement and distribution; and weak leadership and governance. We also identify positive achievements and identify potential reforms of the global health system for greater resilience to future shocks. We discuss the limitations of the Building Blocks framework and future research directions and reflect on political economy challenges to reform.

Identifiers

PMID35601655
PMCPMC9111126
OpenAlexW4221074817

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.