Evidence map›Paper›PMID 41509661›Full record

ArticleHealth systems (Basingstoke, England)2025

Towards a solution to the global healthcare crisis: using hierarchical decomposition and theory of constraints (TOC) to address the healthcare supply chain wicked problem.

James F Cox, Victoria J Mabin

Abstract read
In one paragraph

Article in Health systems (Basingstoke, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

James F CoxManagement Department, Terry College of Business, University of Georgia, Athens, GA, USA.ORCID https://orcid.org/0000-0002-0469-9731
Victoria J MabinSchool of Management, Wellington School of Business and Government, Te Herenga Waka-Victoria University of Wellington, Wellington, New Zealand.ORCID https://orcid.org/0000-0002-4047-9859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare is facing a crisis globally, with rising demand and technological advances escalating costs and outpacing supply. The healthcare supply chain (HCSC) encompasses various links, from primary and specialty care to hospitals, which often fail to function quickly, seamlessly, or cost-effectively individually or together. Indeed, the complexities of healthcare make this a "wicked problem" without easy solutions. Research has typically focused on individual links in the supply chain oversimplifying and neglecting their interdependence. Key characteristics - such as the system's hierarchical structure, diverse stakeholder involvement, interdependencies among links, the importance of timeliness, and the need to cope with complexity, change, and uncertainty - are frequently overlooked. Addressing the healthcare crisis requires a pragmatic approach to improving service delivery. This paper advocates for a systems perspective, allowing a breakdown of the problem into manageable units of analysis based on the system hierarchy, viewing each link in the HCSC as integral to the whole. We outline a multimethodology that capitalises on HCSC characteristics to enhance patient flow and provide timely, high-quality, and cost-effective care. It emphasises classifying, prioritising, and synchronising treatment based on urgency. The paper also discusses existing solutions to the system's components and presents a comprehensive strategy for the overall issue.

Indexed as

Healthcarehealthcare supply chainill-structured problemsmultimethodologytheory of constraintswicked problem

Identifiers

PMID41509661
PMCPMC12777895

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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.