Evidence map›Paper›PMID 35452405›Full record

ArticleJMIR formative research2022

Integration vs Collaborative Redesign Strategies of Health Systems' Supply Chains in the Post-COVID-19 New Normal: Cross-sectional Survey Across the United States.

Jiban Khuntia, Frances J Mejia, Xue Ning, Jeff Helton, Rulon Stacey

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Review
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

5 authors at 2 institutions in 1 country.

Jiban KhuntiaHealth Administration Research Consortium, University of Colorado Denver, Denver, CO, United States.ORCID https://orcid.org/0000-0002-8280-3231
Frances J MejiaHealth Administration Research Consortium, University of Colorado Denver, Denver, CO, United States.ORCID https://orcid.org/0000-0002-9132-7257
Xue NingBusiness Department, University of Wisconsin Parkside, Kenosha, WI, United States.ORCID https://orcid.org/0000-0002-6916-6960
Jeff HeltonHealth Administration Research Consortium, University of Colorado Denver, Denver, CO, United States.ORCID https://orcid.org/0000-0002-7803-461X
Rulon StaceyHealth Administration Research Consortium, University of Colorado Denver, Denver, CO, United States.ORCID https://orcid.org/0000-0001-7853-9813
University of Colorado Health · USUniversity of Wisconsin–Parkside · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven the widespread disruptions to supply chains in 2020 because of the COVID-19 pandemic, questions such as how health systems are shaping strategies to restore the supply chain disruptions are essential to have confidence in health systems' supply chain model strategies. Plausibly, health systems have an opportunity for redesign, growth, and innovation by utilizing collaborative strategies now, compared to the usual strategies of integrating their existing supply chains to reduce inefficiencies.

objectiveThis study focuses on teasing out the nuance of supply chain integration versus collaborative redesign strategies for health systems in the post-COVID-19 new normal. We focus on 2 research questions. First, we explore the impact of perceived supply chain challenges and disruptions on health systems' supply chain integration (SC-INTEGRATION) and collaborative redesign (SC-REDESIGN) strategies. Second, we examine the outcomes of integration and collaborative redesign strategic choices on growth and service outcomes.

methodsWe used data for this study collected through a consultant from a robust group of health system chief executive officers (CEOs) across the United States from February to March 2021. Among the 625 health system CEOs contacted, 135 (21.6%) responded to our survey. We considered supply chain-relevant strategy and outcome variables from the literature and ratified them via expert consensus. We collected secondary data from the Agency for Healthcare Research and Quality (AHRQ) Compendium of the US Health Systems, leading to a matched data set from the 124 health systems. Next, we used ordered logit model estimation to examine CEO preferences for partnership strategies to address current supply disruptions and the outcomes of strategy choices.

resultsHealth systems with higher disruptions would choose integration (positive, P<.001) over redesign, indicating that they still trust the existing partners. Integration strategy is perceived to result in better service outcomes (P<.01), while collaborations are perceived to lead to greater growth opportunities (P<.05); however, the role of integration in growth is not entirely ruled out (combined model, P<.001). Plausibly, some health systems would choose integration and collaborative redesign models, which have a significant relationship with both services (combined model, P<.01) and growth, establishing the importance of mixed strategies for health systems.

conclusionsThe cost of health care continues to rise, and supply-related costs constitute a large portion of a hospital's expenditure. Understanding supply chain strategic choices are essential for a health system's success. Although collaboration is an option, focusing on and improving existing integration dynamics is helpful to foster both growth and services for health systems.

Indexed as

COVID-19health systemspost-COVID-19supply chain collaborationsupply chain integrationsupply chain resilience

Identifiers

PMID35452405
PMCPMC9202655
OpenAlexW4224323677

What OpenQuestion holds

Textmetadata
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.