What factors are considered in hospital funding models? A review of the literature on health services funding in organisation for economic co‐operation and development countries
Background One of the most difficult challenges in healthcare involves equitable allocation of resources. Our review aimed to identify international funding models in Organisation for Economic Co‐operation and Development (OECD) countries for government‐funded public hospitals and evidence underpinn...
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Veröffentlicht in: | The International journal of health planning and management 2023-09, Vol.38 (5), p.1228-1249 |
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creator | Clay‐Williams, Robyn Zurynski, Yvonne Long, Janet C. Meulenbroeks, Isabelle Austin, Elizabeth E. Mahmoud, Zeyad Ellis, Louise A. Knaggs, Gilbert Fajardo Pulido, Diana Richardson, Lieke Ahlenstiel, Golo Reece, Graham Braithwaite, Jeffrey |
description | Background
One of the most difficult challenges in healthcare involves equitable allocation of resources. Our review aimed to identify international funding models in Organisation for Economic Co‐operation and Development (OECD) countries for government‐funded public hospitals and evidence underpinning their efficacy, via review of the peer‐reviewed and grey literature.
Methods
Ovid‐Medline, Ovid Embase, Scopus, and PubMed were searched for peer‐reviewed literature. Advanced Google searches and targeted hand searches of relevant organisational websites identified grey literature. Inclusion criteria were: English language, published between 2011 and 2022, and that the article: (1) focused on healthcare funding; (2) reported on or identified specific factors, indexes, algorithms or formulae associated with healthcare funding; and (3) referred to countries that are members of the OECD, excluding the United States (US).
Results
For peer‐reviewed literature 1189 s and 35 full‐texts were reviewed; six articles met the inclusion criteria. For grey literature, 2996 titles or s and 37 full‐texts were reviewed; five articles met the inclusion criteria. Healthcare funding arrangements employed in 15 OECD countries (Australia, Belgium, Canada, Finland, France, Germany, Israel, Italy, the Netherlands, New Zealand, Norway, Spain, Sweden, Switzerland, and the United Kingdom [UK; specifically, England, Scotland, Wales and Northern Ireland]) were identified, but papers reported population‐based funding arrangements for specific regions rather than hospital‐specific models.
Conclusions
While some models adjusted for deprivation and ethnicity factors, none of the identified documents reported on health systems that adjusted funding allocation for social determinants such as health literacy levels.
Highlights
Organisation for Economic Co‐operation and Development (OECD) governments recognise the importance of funding allocation to reducing health inequalities
Funding models in some OECD countries adjusted for deprivation and ethnicity
No funding models adjusted for cultural and linguistical diversity or health literacy levels
For equitable allocation of resources, governments should consider broadening the range of factors considered in healthcare funding models |
doi_str_mv | 10.1002/hpm.3688 |
format | Article |
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One of the most difficult challenges in healthcare involves equitable allocation of resources. Our review aimed to identify international funding models in Organisation for Economic Co‐operation and Development (OECD) countries for government‐funded public hospitals and evidence underpinning their efficacy, via review of the peer‐reviewed and grey literature.
Methods
Ovid‐Medline, Ovid Embase, Scopus, and PubMed were searched for peer‐reviewed literature. Advanced Google searches and targeted hand searches of relevant organisational websites identified grey literature. Inclusion criteria were: English language, published between 2011 and 2022, and that the article: (1) focused on healthcare funding; (2) reported on or identified specific factors, indexes, algorithms or formulae associated with healthcare funding; and (3) referred to countries that are members of the OECD, excluding the United States (US).
Results
For peer‐reviewed literature 1189 s and 35 full‐texts were reviewed; six articles met the inclusion criteria. For grey literature, 2996 titles or s and 37 full‐texts were reviewed; five articles met the inclusion criteria. Healthcare funding arrangements employed in 15 OECD countries (Australia, Belgium, Canada, Finland, France, Germany, Israel, Italy, the Netherlands, New Zealand, Norway, Spain, Sweden, Switzerland, and the United Kingdom [UK; specifically, England, Scotland, Wales and Northern Ireland]) were identified, but papers reported population‐based funding arrangements for specific regions rather than hospital‐specific models.
Conclusions
While some models adjusted for deprivation and ethnicity factors, none of the identified documents reported on health systems that adjusted funding allocation for social determinants such as health literacy levels.
Highlights
Organisation for Economic Co‐operation and Development (OECD) governments recognise the importance of funding allocation to reducing health inequalities
Funding models in some OECD countries adjusted for deprivation and ethnicity
No funding models adjusted for cultural and linguistical diversity or health literacy levels
For equitable allocation of resources, governments should consider broadening the range of factors considered in healthcare funding models</description><identifier>ISSN: 0749-6753</identifier><identifier>EISSN: 1099-1751</identifier><identifier>DOI: 10.1002/hpm.3688</identifier><identifier>PMID: 37469119</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Algorithms ; Criteria ; Deprivation ; Efficacy ; English language ; Ethnicity ; Funding ; Grey literature ; Health care ; Health disparities ; Health education ; Health literacy ; Health services ; hospital funding models ; Hospitals ; literature review ; Literature reviews ; Minority & ethnic groups ; Peers ; Resource allocation ; Search engines ; social determinants of health ; Social factors ; Texts</subject><ispartof>The International journal of health planning and management, 2023-09, Vol.38 (5), p.1228-1249</ispartof><rights>2023 The Authors. The International Journal of Health Planning and Management published by John Wiley & Sons Ltd.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3448-89debf52a26fbb7b534127d198e78a289a90e0ae3c28926b5d9b3c62fcb0e6e33</cites><orcidid>0000-0002-6107-7445</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhpm.3688$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhpm.3688$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,30999,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37469119$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Clay‐Williams, Robyn</creatorcontrib><creatorcontrib>Zurynski, Yvonne</creatorcontrib><creatorcontrib>Long, Janet C.</creatorcontrib><creatorcontrib>Meulenbroeks, Isabelle</creatorcontrib><creatorcontrib>Austin, Elizabeth E.</creatorcontrib><creatorcontrib>Mahmoud, Zeyad</creatorcontrib><creatorcontrib>Ellis, Louise A.</creatorcontrib><creatorcontrib>Knaggs, Gilbert</creatorcontrib><creatorcontrib>Fajardo Pulido, Diana</creatorcontrib><creatorcontrib>Richardson, Lieke</creatorcontrib><creatorcontrib>Ahlenstiel, Golo</creatorcontrib><creatorcontrib>Reece, Graham</creatorcontrib><creatorcontrib>Braithwaite, Jeffrey</creatorcontrib><title>What factors are considered in hospital funding models? A review of the literature on health services funding in organisation for economic co‐operation and development countries</title><title>The International journal of health planning and management</title><addtitle>Int J Health Plann Manage</addtitle><description>Background
One of the most difficult challenges in healthcare involves equitable allocation of resources. Our review aimed to identify international funding models in Organisation for Economic Co‐operation and Development (OECD) countries for government‐funded public hospitals and evidence underpinning their efficacy, via review of the peer‐reviewed and grey literature.
Methods
Ovid‐Medline, Ovid Embase, Scopus, and PubMed were searched for peer‐reviewed literature. Advanced Google searches and targeted hand searches of relevant organisational websites identified grey literature. Inclusion criteria were: English language, published between 2011 and 2022, and that the article: (1) focused on healthcare funding; (2) reported on or identified specific factors, indexes, algorithms or formulae associated with healthcare funding; and (3) referred to countries that are members of the OECD, excluding the United States (US).
Results
For peer‐reviewed literature 1189 s and 35 full‐texts were reviewed; six articles met the inclusion criteria. For grey literature, 2996 titles or s and 37 full‐texts were reviewed; five articles met the inclusion criteria. Healthcare funding arrangements employed in 15 OECD countries (Australia, Belgium, Canada, Finland, France, Germany, Israel, Italy, the Netherlands, New Zealand, Norway, Spain, Sweden, Switzerland, and the United Kingdom [UK; specifically, England, Scotland, Wales and Northern Ireland]) were identified, but papers reported population‐based funding arrangements for specific regions rather than hospital‐specific models.
Conclusions
While some models adjusted for deprivation and ethnicity factors, none of the identified documents reported on health systems that adjusted funding allocation for social determinants such as health literacy levels.
Highlights
Organisation for Economic Co‐operation and Development (OECD) governments recognise the importance of funding allocation to reducing health inequalities
Funding models in some OECD countries adjusted for deprivation and ethnicity
No funding models adjusted for cultural and linguistical diversity or health literacy levels
For equitable allocation of resources, governments should consider broadening the range of factors considered in healthcare funding models</description><subject>Algorithms</subject><subject>Criteria</subject><subject>Deprivation</subject><subject>Efficacy</subject><subject>English language</subject><subject>Ethnicity</subject><subject>Funding</subject><subject>Grey literature</subject><subject>Health care</subject><subject>Health disparities</subject><subject>Health education</subject><subject>Health literacy</subject><subject>Health services</subject><subject>hospital funding models</subject><subject>Hospitals</subject><subject>literature review</subject><subject>Literature reviews</subject><subject>Minority & ethnic groups</subject><subject>Peers</subject><subject>Resource allocation</subject><subject>Search engines</subject><subject>social determinants of health</subject><subject>Social factors</subject><subject>Texts</subject><issn>0749-6753</issn><issn>1099-1751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>7QJ</sourceid><recordid>eNp1kc1qFjEUhoNY7GcVvAIJuHEzbX5mMpOVlKJWaNGF4nLIJGc6KZlkTDJf6c5L6L30jrwS89kfQXCVwPuc5xx4EXpFySElhB1Ny3zIRdc9QRtKpKxo29CnaEPaWlaibfg-ep7SJSElo_IZ2udtLSSlcoNuv08q41HpHGLCKgLWwSdrIILB1uMppMVm5fC4emP9BZ6DAZfe4WMcYWvhCocR5wmwsxmiymsxhDIGyuUJJ4hbqyE9ThdjiBfK26SyLdwYIoayMcxWl82_ft6EZafZZcobbGALLiwz-Fzi1edoIb1Ae6NyCV7evwfo24f3X09Oq7PPHz-dHJ9Vmtd1V3XSwDA2TDExDkM7NLymrDVUdtB2inVSSQJEAdflz8TQGDlwLdioBwICOD9Ab--8Sww_Vki5n23S4JzyENbUs64mrBYtbwr65h_0MqzRl-sKJQgnhNbyr1DHkFKEsV-inVW87inpd0X2pch-V2RBX98L12EG8wg-NFeA6g64sg6u_yvqT7-c_xH-BuqwrDk</recordid><startdate>202309</startdate><enddate>202309</enddate><creator>Clay‐Williams, Robyn</creator><creator>Zurynski, Yvonne</creator><creator>Long, Janet C.</creator><creator>Meulenbroeks, Isabelle</creator><creator>Austin, Elizabeth E.</creator><creator>Mahmoud, Zeyad</creator><creator>Ellis, Louise A.</creator><creator>Knaggs, Gilbert</creator><creator>Fajardo Pulido, Diana</creator><creator>Richardson, Lieke</creator><creator>Ahlenstiel, Golo</creator><creator>Reece, Graham</creator><creator>Braithwaite, Jeffrey</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6107-7445</orcidid></search><sort><creationdate>202309</creationdate><title>What factors are considered in hospital funding models? A review of the literature on health services funding in organisation for economic co‐operation and development countries</title><author>Clay‐Williams, Robyn ; Zurynski, Yvonne ; Long, Janet C. ; Meulenbroeks, Isabelle ; Austin, Elizabeth E. ; Mahmoud, Zeyad ; Ellis, Louise A. ; Knaggs, Gilbert ; Fajardo Pulido, Diana ; Richardson, Lieke ; Ahlenstiel, Golo ; Reece, Graham ; Braithwaite, Jeffrey</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3448-89debf52a26fbb7b534127d198e78a289a90e0ae3c28926b5d9b3c62fcb0e6e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Criteria</topic><topic>Deprivation</topic><topic>Efficacy</topic><topic>English language</topic><topic>Ethnicity</topic><topic>Funding</topic><topic>Grey literature</topic><topic>Health care</topic><topic>Health disparities</topic><topic>Health education</topic><topic>Health literacy</topic><topic>Health services</topic><topic>hospital funding models</topic><topic>Hospitals</topic><topic>literature review</topic><topic>Literature reviews</topic><topic>Minority & ethnic groups</topic><topic>Peers</topic><topic>Resource allocation</topic><topic>Search engines</topic><topic>social determinants of health</topic><topic>Social factors</topic><topic>Texts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Clay‐Williams, Robyn</creatorcontrib><creatorcontrib>Zurynski, Yvonne</creatorcontrib><creatorcontrib>Long, Janet C.</creatorcontrib><creatorcontrib>Meulenbroeks, Isabelle</creatorcontrib><creatorcontrib>Austin, Elizabeth E.</creatorcontrib><creatorcontrib>Mahmoud, Zeyad</creatorcontrib><creatorcontrib>Ellis, Louise A.</creatorcontrib><creatorcontrib>Knaggs, Gilbert</creatorcontrib><creatorcontrib>Fajardo Pulido, Diana</creatorcontrib><creatorcontrib>Richardson, Lieke</creatorcontrib><creatorcontrib>Ahlenstiel, Golo</creatorcontrib><creatorcontrib>Reece, Graham</creatorcontrib><creatorcontrib>Braithwaite, Jeffrey</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>The International journal of health planning and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Clay‐Williams, Robyn</au><au>Zurynski, Yvonne</au><au>Long, Janet C.</au><au>Meulenbroeks, Isabelle</au><au>Austin, Elizabeth E.</au><au>Mahmoud, Zeyad</au><au>Ellis, Louise A.</au><au>Knaggs, Gilbert</au><au>Fajardo Pulido, Diana</au><au>Richardson, Lieke</au><au>Ahlenstiel, Golo</au><au>Reece, Graham</au><au>Braithwaite, Jeffrey</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>What factors are considered in hospital funding models? A review of the literature on health services funding in organisation for economic co‐operation and development countries</atitle><jtitle>The International journal of health planning and management</jtitle><addtitle>Int J Health Plann Manage</addtitle><date>2023-09</date><risdate>2023</risdate><volume>38</volume><issue>5</issue><spage>1228</spage><epage>1249</epage><pages>1228-1249</pages><issn>0749-6753</issn><eissn>1099-1751</eissn><abstract>Background
One of the most difficult challenges in healthcare involves equitable allocation of resources. Our review aimed to identify international funding models in Organisation for Economic Co‐operation and Development (OECD) countries for government‐funded public hospitals and evidence underpinning their efficacy, via review of the peer‐reviewed and grey literature.
Methods
Ovid‐Medline, Ovid Embase, Scopus, and PubMed were searched for peer‐reviewed literature. Advanced Google searches and targeted hand searches of relevant organisational websites identified grey literature. Inclusion criteria were: English language, published between 2011 and 2022, and that the article: (1) focused on healthcare funding; (2) reported on or identified specific factors, indexes, algorithms or formulae associated with healthcare funding; and (3) referred to countries that are members of the OECD, excluding the United States (US).
Results
For peer‐reviewed literature 1189 s and 35 full‐texts were reviewed; six articles met the inclusion criteria. For grey literature, 2996 titles or s and 37 full‐texts were reviewed; five articles met the inclusion criteria. Healthcare funding arrangements employed in 15 OECD countries (Australia, Belgium, Canada, Finland, France, Germany, Israel, Italy, the Netherlands, New Zealand, Norway, Spain, Sweden, Switzerland, and the United Kingdom [UK; specifically, England, Scotland, Wales and Northern Ireland]) were identified, but papers reported population‐based funding arrangements for specific regions rather than hospital‐specific models.
Conclusions
While some models adjusted for deprivation and ethnicity factors, none of the identified documents reported on health systems that adjusted funding allocation for social determinants such as health literacy levels.
Highlights
Organisation for Economic Co‐operation and Development (OECD) governments recognise the importance of funding allocation to reducing health inequalities
Funding models in some OECD countries adjusted for deprivation and ethnicity
No funding models adjusted for cultural and linguistical diversity or health literacy levels
For equitable allocation of resources, governments should consider broadening the range of factors considered in healthcare funding models</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37469119</pmid><doi>10.1002/hpm.3688</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0002-6107-7445</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Criteria Deprivation Efficacy English language Ethnicity Funding Grey literature Health care Health disparities Health education Health literacy Health services hospital funding models Hospitals literature review Literature reviews Minority & ethnic groups Peers Resource allocation Search engines social determinants of health Social factors Texts |
title | What factors are considered in hospital funding models? A review of the literature on health services funding in organisation for economic co‐operation and development countries |
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