Hospital location selection: A systematic literature review on methodologies and applications

Derleme MakaleAçık ErişimScopus SJRQ2
  • SDG 3 · Sağlık ve Kaliteli Yaşam

Özet

The increased focus of people on the quality of health care in recent years has led hospital owners to develop strategies and policies to improve medical services through the establishment of new hospitals. For hospitals to be competitive, the hospital's location and proximity to potential patients are considered crucial factors in establishing new hospitals. In this context, evaluating and selecting the most suitable hospital location to establish a new hospital from the multicriteria decision-making (MCDM) perspective is a priority for the entrepreneurs or government to gain a competitive advantage. Therefore, this study aims to present a systematic literature review of the hospital location selection problem considering the applied methods and application areas. The preferred reporting items for systematic review and meta-analysis statement (PRISMA) are used as a reference framework. Initially, known electronic databases (Web of science, IEEEXplore, Scopus, Science direct, and Google Scholar) were searched up to the early 2021. A number of 47 articles are selected and analyzed under this systematic framework based on inclusion-exclusion points. State-of-the-art developments in adopting MCDM methods and their fuzzy extensions are summarized. All the articles have been examined in a systematic taxonomy to find answers to six research questions (trend, country of origin, outlet journal, MCDM methods used, MCDM environment and criteria type, and decision criteria used). Results show that (1) AHP and GISbased MCDM models are the most contributing approaches to the solution of this problem, (2) location selection criteria are mostly cost, demand, environment, population, government, competition in the market, and distance to some important places, (3) the fuzzy structure is also preferred in addition to the MCDM structure depending on the crisp data type, and (4) the location selection criteria are mostly considered subjective. We pay attention to promising directions that can dominate future research in this field from a methodological or applicability perspective. This study shows the current views and opportunities for researchers and practitioners and acts as a guide to encourage more creative studies in this field.

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/munzur/3802Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1155/2021/6682958Yayıncı resmi DOI adresi
İndeks kayıtları
Kaydın indeks veri tabanlarındaki sayfası (aktarımda alınan kayıt numarasıyla). Erişim, indeksin kendi koşullarına bağlıdır.
Atıflar
Scopus
58
WoS
43
OpenAlex
71
Her kaynağın kendi saydığı toplam atıf; aktarım ve zenginleştirme sırasında alındı.
Tam Kayıt
AlanDeğerDil
dc.contributor.authorGul, Muhammet
dc.contributor.authorGuneri, Ali Fuat
dc.date.accessioned2026-10-28T14:57:08.721585136Z
dc.date.available2026-10-28T14:57:08.721585136Z
dc.date.issued2021
dc.description.abstractThe increased focus of people on the quality of health care in recent years has led hospital owners to develop strategies and policies to improve medical services through the establishment of new hospitals. For hospitals to be competitive, the hospital's location and proximity to potential patients are considered crucial factors in establishing new hospitals. In this context, evaluating and selecting the most suitable hospital location to establish a new hospital from the multicriteria decision-making (MCDM) perspective is a priority for the entrepreneurs or government to gain a competitive advantage. Therefore, this study aims to present a systematic literature review of the hospital location selection problem considering the applied methods and application areas. The preferred reporting items for systematic review and meta-analysis statement (PRISMA) are used as a reference framework. Initially, known electronic databases (Web of science, IEEEXplore, Scopus, Science direct, and Google Scholar) were searched up to the early 2021. A number of 47 articles are selected and analyzed under this systematic framework based on inclusion-exclusion points. State-of-the-art developments in adopting MCDM methods and their fuzzy extensions are summarized. All the articles have been examined in a systematic taxonomy to find answers to six research questions (trend, country of origin, outlet journal, MCDM methods used, MCDM environment and criteria type, and decision criteria used). Results show that (1) AHP and GISbased MCDM models are the most contributing approaches to the solution of this problem, (2) location selection criteria are mostly cost, demand, environment, population, government, competition in the market, and distance to some important places, (3) the fuzzy structure is also preferred in addition to the MCDM structure depending on the crisp data type, and (4) the location selection criteria are mostly considered subjective. We pay attention to promising directions that can dominate future research in this field from a methodological or applicability perspective. This study shows the current views and opportunities for researchers and practitioners and acts as a guide to encourage more creative studies in this field.
dc.identifier.articlenumber6682958
dc.identifier.doi10.1155/2021/6682958
dc.identifier.eissn1563-5147
dc.identifier.issn1024-123X
dc.identifier.scopus2-s2.0-85101531426
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/3802
dc.identifier.volume2021
dc.identifier.wosWOS:000621821200009
dc.language.isoen
dc.publisherHindawi Limited
dc.relation.ispartofMathematical Problems in Engineering
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.classificationEngineering, Multidisciplinary
dc.subject.classificationMathematics, Interdisciplinary Applications
dc.subject.classificationEngineering
dc.subject.classificationMathematics
dc.subject.otherBehavioral research
dc.subject.otherCompetition
dc.subject.otherDecision making
dc.subject.otherLocation
dc.subject.otherPopulation statistics
dc.subject.otherCompetitive advantage
dc.subject.otherDecision criterions
dc.subject.otherElectronic database
dc.subject.otherMulti-criteria decision making
dc.subject.otherQuality of health care
dc.subject.otherReference frameworks
dc.subject.otherSystematic framework
dc.subject.otherSystematic literature review
dc.subject.otherHospitals
dc.titleHospital location selection: A systematic literature review on methodologies and applications
dc.typeReview Article
rdl.citation.openalex71
rdl.citation.scopus58
rdl.citation.wos43
rdl.oa.statushybrid
rdl.oa.urlhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/2021/6682958
rdl.scopus.quartileQ2
rdl.sdgSDG03
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)
rdl.wos.indexSocial Science Citation Index (SSCI)