Evidence map›Paper›PMID 41929566›Full record

ArticleFrontiers in rehabilitation sciences2026

Rethinking rehabilitation resources: an amuse-bouche to supply chain management.

Yousef Abdulsalam, Ahmad J Abdulsalam, Levent Özçakar

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

3 authors.

Yousef AbdulsalamDepartment of Information Systems and Operations Management, College of Business Administration, Kuwait University, Kuwait City, Kuwait.
Ahmad J AbdulsalamDepartment of Physical Medicine and Rehabilitation, Mubarak Alkabeer Hospital, Jabriya, Kuwait.
Levent ÖzçakarDepartment of Physical and Rehabilitation Medicine, Hacettepe University Medical School, Ankara, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supply chain disruptions can compromise rehabilitation service delivery, yet this intersection remains largely unexplored in rehabilitation medicine literature. Despite growing recognition that supply chain resilience is a determinant of healthcare quality, no prior work has systematically applied supply chain frameworks to the rehabilitation context. This perspective addresses that gap by introducing supply chain management principles to rehabilitation practitioners. Drawing on the Purchasing Portfolio Model, we classify rehabilitation supplies into four categories based on cost and complexity: strategic items (customized prosthetics and orthotics), leverage items (mobility aids), bottleneck items (medications), and non-critical items (disposables). Each category requires distinct procurement and risk mitigation strategies. We discuss fundamental supply management approaches including value analysis teams that combine clinical and administrative expertise, strategic supplier relationship management, and collaborative inventory models such as purchasing alliances and consolidated service centers. Using the COVID-19 pandemic as a case in point, we illustrate that disruptions across all supply categories, from high-cost equipment to inexpensive disposables, can compromise patient care regardless of item cost. We argue that rehabilitation medicine requires a tailored supply chain literacy that bridges clinical and operational expertise. Future research should empirically examine the relationships between supply chain resilience and patient outcomes in rehabilitation settings.

Indexed as

healthcare resiliencePurchasing Portfoliorehabilitation medicineservice continuitysupply chain management

Identifiers

PMID41929566
PMCPMC13038625

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.