Evidence map›Paper›PMID 34709503›Full record

ArticleHealth care management science2022

Hospital volume allocation: integrating decision maker and patient perspectives.

Elisabetta Listorti, Arianna Alfieri, Erica Pastore

Open access · hybridAbstract read
In one paragraph

Article in Health care management science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Elisabetta ListortiCentre for Research in Health and Social Care Management (CERGAS) SDA Bocconi School of Management, Bocconi University, Milan, Italy. elisabetta.listorti@sdabocconi.it.
Arianna AlfieriDepartment of Management and Production Engineering (DIGEP), Politecnico di Torino, Torino, Italy.
Erica PastoreDepartment of Management and Production Engineering (DIGEP), Politecnico di Torino, Torino, Italy.ORCID http://orcid.org/0000-0003-0085-2978
Politecnico di Torino · ITBocconi University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Planning problems in healthcare systems have received greater attention in the last decade, especially because of the concerns recently raised about the scattering of surgical interventions among a wide number of different facilities that can undermine the quality of the outcome due to the volume-outcome association. In this paper, an approach to plan the amount of surgical interventions that a facility has to perform to assure a low adjusted mortality rate is proposed. The approach explicitly takes into account the existing interaction among patients' choices and decision makers' planning decisions. The first objective of the proposed approach is to find a solution able to reach quality in health outcomes and patients' adherence. The second objective is to investigate the difference among solutions that are identified as optimal by either only one of the actors' perspective, i.e., decision makers and patients, or by considering both the perspectives simultaneously. Following these objectives, the proposed approach is applied to a case study on Italian colon cancer interventions performed in 2014. Results confirm a variation in the hospital planned volumes when considering patients' behaviour together with the policy maker plan, especially due to personal preferences and lack of information about hospital quality.

Indexed as

Delivery of Health CareHospitalsDecision MakingHumansItalyAdjusted mortality rateDecision makerHospital planningOperations researchPatientsVolume of activityVolume–outcome association

Identifiers

PMID34709503
PMCPMC9165272
OpenAlexW3209910749

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.