Evidence map›Paper›PMID 34529166›Full record

ArticleInsights into imaging2021

Optimizing integrated imaging service delivery by tier in low-resource health systems.

Kristen DeStigter, Kara-Lee Pool, Abimbola Leslie, Sarwat Hussain, Bien Soo Tan, Lluis Donoso-Bach, Savvas Andronikou

Abstract read
In one paragraph

Article in Insights into imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  6. Spine Sound Classification: An Explainable Machine Learning Approach.IEEE open journal of engineering in medicine and biology · 2026
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  16. Observational
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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.

Kristen DeStigterDepartment of Radiology, Larner College of Medicine, University of Vermont, 111 Colchester Avenue Main Campus, McClure, Level 1, Burlington, VT, 05401, USA.
Kara-Lee PoolRAD-AID International, 8004 Ellingson Drive, Chevy Chase, MD, 20815, USA. pool.kara.lee@gmail.com.
Abimbola LeslieDepartment of Radiology, Larner College of Medicine, University of Vermont, 111 Colchester Avenue Main Campus, McClure, Level 1, Burlington, VT, 05401, USA.
Sarwat HussainDepartment of Radiology, University of Massachusetts, 55 North Lake Ave, Worcester, MA, 01655, USA.
Bien Soo TanDepartment of Vascular and Interventional Radiology, Singapore General Hospital, Outram Rd, Singapore, 169608, Singapore.
Lluis Donoso-BachDepartment of Medical Imaging, Hospital Clínic of Barcelona, University of Barcelona, C. de Villarroel, 170, 08036, Barcelona, Spain.
Savvas AndronikouDepartment of Pediatric Radiology, The Children's Hospital of Philadelphia and the Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to imaging diagnostics has been shown to result in accurate treatment, management, and optimal outcomes. Particularly in low-income and low-middle-income countries (LICs, LMICs), access is limited due to a lack of adequate resources. To achieve Sustainable Development Goal (SDG) 3, access to imaging services is critical at every tier of the health system. Optimizing imaging services in low-resource settings is best accomplished by prescriptive, integrated, and coordinated tiered service delivery that takes contextual factors into consideration. To our knowledge, this is the first recommendation for optimized, specific imaging care delivery by tier. A model for tier-based essential imaging services informs and guides policymakers as they set priorities and make budgetary decisions. In this paper, we recommend a framework for tiered imaging services essential to reduce the global burden of disease and attain universal health coverage (UHC). A lack of access to basic imaging services, even at the lowest tier of the health system, can no longer be justified by cost. Worldwide, affordable modalities of modern ultrasound and X-ray are becoming an accessible mainstay for the investigation of common conditions such as pregnancy, pneumonia, and fractures, and are safely performed and interpreted by qualified professionals. Finally, given the vast gap in access to imaging resources between LMICs and high-income countries (HICs), a scale-up of tiered imaging services in low-resource settings has the potential to reduce health disparities between, and within countries. As the access to appropriately integrated imaging services improves, UHC may be achieved.

Indexed as

Diagnostic imagingGlobal healthPopulation healthRadiology

Identifiers

PMID34529166
PMCPMC8444174

What OpenQuestion holds

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LicenceCC BY
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.