Modelling policy interventions to improve patient access to rural dermatology care

Timely access to dermatology care is poor across the US, especially in underserved geographical areas. Rural regions with fewer practising dermatologists and constrained resources often experience insufficient care access and health outcomes, underscoring the importance of addressing these dispariti...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Operations management research 2021-12, Vol.14 (3-4), p.359-377
Hauptverfasser: Cyr, Melissa E., Boucher, Daryl, Holmes, Ashley A., Benneyan, James C.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 377
container_issue 3-4
container_start_page 359
container_title Operations management research
container_volume 14
creator Cyr, Melissa E.
Boucher, Daryl
Holmes, Ashley A.
Benneyan, James C.
description Timely access to dermatology care is poor across the US, especially in underserved geographical areas. Rural regions with fewer practising dermatologists and constrained resources often experience insufficient care access and health outcomes, underscoring the importance of addressing these disparities. However, potential interventions are difficult to compare due to their disruptiveness, time and resource requirements, and institutional resistance, given their uncertain impacts. Queueing and computer simulation models were used to analyse several potential interventions to reduce dermatology appointment delays and gain insights into dynamics and structural inter-relationships. Model logic, candidate interventions, and cost–benefit considerations were developed from mixed-methods analyses of rural access processes and barriers. Sensitivity analyses were conducted. The best of ten investigated interventions reduced internal dermatology access delays from roughly 150 weeks with 95% provider utilisation currently to 0.49 and 72%, respectively. Two other interventions reduced travel for external dermatology care by an estimated 68.1%. Model logic and inputs were developed from the literature and a six-facility rural health system, which may differ in other geographic regions. Model simplifications may not capture all access dynamics, and resources required for some interventions may not be available. Model-based analysis of rural care access disparities can help evaluate and screen potential interventions, develop useful insights, and identify policies worth further evaluating or testing in actual practise. In our rural setting, two interventions appear cost-effective in reducing patient access delays and provider over-utilisation; two others performed too poorly to warrant investing resources to implement or test in practise.
doi_str_mv 10.1007/s12063-021-00211-1
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2604983012</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A715499534</galeid><sourcerecordid>A715499534</sourcerecordid><originalsourceid>FETCH-LOGICAL-c443t-b488570f884b85d155bf31c9def8fa01244d95e8f7814c51361a23a891da60c33</originalsourceid><addsrcrecordid>eNp9kV1LBCEUhoco6PMPdCV0PeUZdUYvl-gLiiAKuhPXOS4uM-Oms8H--6yJliBCUDnnfV49vEVxCvQcKG0uElS0ZiWtoKR5gxJ2igNQrC5Vw9nuz52J_eIwpSWlNeUgDoqnh9Bi1_lhQVah83ZD_DBifMdh9GFIZAzE96sY3pGszOhzmRhrMX114jqajrQYezOGLiw2xJqIx8WeM13Ck-_zqHi5vnq-vC3vH2_uLmf3peWcjeWcSyka6qTkcylaEGLuGFjVopPOUKg4b5VA6RoJ3ApgNZiKGamgNTW1jB0VZ5Nv_t7bGtOol2Edh_ykrvJ0SrJsslUtTIfaDy6M0djeJ6tnDQiulGA8q87_UOXVYu9tGND5XP8FVBNgY0gpotOr6HsTNxqo_oxET5HonIb-ikRDhsgEYbb0aYs0UrBaSfWaJWySpNwcFhi3Q_1j_AHlYpeI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2604983012</pqid></control><display><type>article</type><title>Modelling policy interventions to improve patient access to rural dermatology care</title><source>Springer Nature - Complete Springer Journals</source><creator>Cyr, Melissa E. ; Boucher, Daryl ; Holmes, Ashley A. ; Benneyan, James C.</creator><creatorcontrib>Cyr, Melissa E. ; Boucher, Daryl ; Holmes, Ashley A. ; Benneyan, James C.</creatorcontrib><description>Timely access to dermatology care is poor across the US, especially in underserved geographical areas. Rural regions with fewer practising dermatologists and constrained resources often experience insufficient care access and health outcomes, underscoring the importance of addressing these disparities. However, potential interventions are difficult to compare due to their disruptiveness, time and resource requirements, and institutional resistance, given their uncertain impacts. Queueing and computer simulation models were used to analyse several potential interventions to reduce dermatology appointment delays and gain insights into dynamics and structural inter-relationships. Model logic, candidate interventions, and cost–benefit considerations were developed from mixed-methods analyses of rural access processes and barriers. Sensitivity analyses were conducted. The best of ten investigated interventions reduced internal dermatology access delays from roughly 150 weeks with 95% provider utilisation currently to 0.49 and 72%, respectively. Two other interventions reduced travel for external dermatology care by an estimated 68.1%. Model logic and inputs were developed from the literature and a six-facility rural health system, which may differ in other geographic regions. Model simplifications may not capture all access dynamics, and resources required for some interventions may not be available. Model-based analysis of rural care access disparities can help evaluate and screen potential interventions, develop useful insights, and identify policies worth further evaluating or testing in actual practise. In our rural setting, two interventions appear cost-effective in reducing patient access delays and provider over-utilisation; two others performed too poorly to warrant investing resources to implement or test in practise.</description><identifier>ISSN: 1936-9735</identifier><identifier>EISSN: 1936-9743</identifier><identifier>DOI: 10.1007/s12063-021-00211-1</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Analysis ; Business and Management ; Computer simulation ; Dermatology ; Engineering Economics ; Impact resistance ; Industrial and Production Engineering ; Innovation/Technology Management ; Logistics ; Management ; Marketing ; Operations Management ; Operations research ; Operations Research/Decision Theory ; Organization ; Rural areas ; Rural health</subject><ispartof>Operations management research, 2021-12, Vol.14 (3-4), p.359-377</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-b488570f884b85d155bf31c9def8fa01244d95e8f7814c51361a23a891da60c33</citedby><cites>FETCH-LOGICAL-c443t-b488570f884b85d155bf31c9def8fa01244d95e8f7814c51361a23a891da60c33</cites><orcidid>0000-0002-6472-2913</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12063-021-00211-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12063-021-00211-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Cyr, Melissa E.</creatorcontrib><creatorcontrib>Boucher, Daryl</creatorcontrib><creatorcontrib>Holmes, Ashley A.</creatorcontrib><creatorcontrib>Benneyan, James C.</creatorcontrib><title>Modelling policy interventions to improve patient access to rural dermatology care</title><title>Operations management research</title><addtitle>Oper Manag Res</addtitle><description>Timely access to dermatology care is poor across the US, especially in underserved geographical areas. Rural regions with fewer practising dermatologists and constrained resources often experience insufficient care access and health outcomes, underscoring the importance of addressing these disparities. However, potential interventions are difficult to compare due to their disruptiveness, time and resource requirements, and institutional resistance, given their uncertain impacts. Queueing and computer simulation models were used to analyse several potential interventions to reduce dermatology appointment delays and gain insights into dynamics and structural inter-relationships. Model logic, candidate interventions, and cost–benefit considerations were developed from mixed-methods analyses of rural access processes and barriers. Sensitivity analyses were conducted. The best of ten investigated interventions reduced internal dermatology access delays from roughly 150 weeks with 95% provider utilisation currently to 0.49 and 72%, respectively. Two other interventions reduced travel for external dermatology care by an estimated 68.1%. Model logic and inputs were developed from the literature and a six-facility rural health system, which may differ in other geographic regions. Model simplifications may not capture all access dynamics, and resources required for some interventions may not be available. Model-based analysis of rural care access disparities can help evaluate and screen potential interventions, develop useful insights, and identify policies worth further evaluating or testing in actual practise. In our rural setting, two interventions appear cost-effective in reducing patient access delays and provider over-utilisation; two others performed too poorly to warrant investing resources to implement or test in practise.</description><subject>Analysis</subject><subject>Business and Management</subject><subject>Computer simulation</subject><subject>Dermatology</subject><subject>Engineering Economics</subject><subject>Impact resistance</subject><subject>Industrial and Production Engineering</subject><subject>Innovation/Technology Management</subject><subject>Logistics</subject><subject>Management</subject><subject>Marketing</subject><subject>Operations Management</subject><subject>Operations research</subject><subject>Operations Research/Decision Theory</subject><subject>Organization</subject><subject>Rural areas</subject><subject>Rural health</subject><issn>1936-9735</issn><issn>1936-9743</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kV1LBCEUhoco6PMPdCV0PeUZdUYvl-gLiiAKuhPXOS4uM-Oms8H--6yJliBCUDnnfV49vEVxCvQcKG0uElS0ZiWtoKR5gxJ2igNQrC5Vw9nuz52J_eIwpSWlNeUgDoqnh9Bi1_lhQVah83ZD_DBifMdh9GFIZAzE96sY3pGszOhzmRhrMX114jqajrQYezOGLiw2xJqIx8WeM13Ck-_zqHi5vnq-vC3vH2_uLmf3peWcjeWcSyka6qTkcylaEGLuGFjVopPOUKg4b5VA6RoJ3ApgNZiKGamgNTW1jB0VZ5Nv_t7bGtOol2Edh_ykrvJ0SrJsslUtTIfaDy6M0djeJ6tnDQiulGA8q87_UOXVYu9tGND5XP8FVBNgY0gpotOr6HsTNxqo_oxET5HonIb-ikRDhsgEYbb0aYs0UrBaSfWaJWySpNwcFhi3Q_1j_AHlYpeI</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Cyr, Melissa E.</creator><creator>Boucher, Daryl</creator><creator>Holmes, Ashley A.</creator><creator>Benneyan, James C.</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TA</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>K60</scope><scope>K6~</scope><scope>K8~</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M7S</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-6472-2913</orcidid></search><sort><creationdate>20211201</creationdate><title>Modelling policy interventions to improve patient access to rural dermatology care</title><author>Cyr, Melissa E. ; Boucher, Daryl ; Holmes, Ashley A. ; Benneyan, James C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-b488570f884b85d155bf31c9def8fa01244d95e8f7814c51361a23a891da60c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Business and Management</topic><topic>Computer simulation</topic><topic>Dermatology</topic><topic>Engineering Economics</topic><topic>Impact resistance</topic><topic>Industrial and Production Engineering</topic><topic>Innovation/Technology Management</topic><topic>Logistics</topic><topic>Management</topic><topic>Marketing</topic><topic>Operations Management</topic><topic>Operations research</topic><topic>Operations Research/Decision Theory</topic><topic>Organization</topic><topic>Rural areas</topic><topic>Rural health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cyr, Melissa E.</creatorcontrib><creatorcontrib>Boucher, Daryl</creatorcontrib><creatorcontrib>Holmes, Ashley A.</creatorcontrib><creatorcontrib>Benneyan, James C.</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Engineering Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Operations management research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cyr, Melissa E.</au><au>Boucher, Daryl</au><au>Holmes, Ashley A.</au><au>Benneyan, James C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling policy interventions to improve patient access to rural dermatology care</atitle><jtitle>Operations management research</jtitle><stitle>Oper Manag Res</stitle><date>2021-12-01</date><risdate>2021</risdate><volume>14</volume><issue>3-4</issue><spage>359</spage><epage>377</epage><pages>359-377</pages><issn>1936-9735</issn><eissn>1936-9743</eissn><abstract>Timely access to dermatology care is poor across the US, especially in underserved geographical areas. Rural regions with fewer practising dermatologists and constrained resources often experience insufficient care access and health outcomes, underscoring the importance of addressing these disparities. However, potential interventions are difficult to compare due to their disruptiveness, time and resource requirements, and institutional resistance, given their uncertain impacts. Queueing and computer simulation models were used to analyse several potential interventions to reduce dermatology appointment delays and gain insights into dynamics and structural inter-relationships. Model logic, candidate interventions, and cost–benefit considerations were developed from mixed-methods analyses of rural access processes and barriers. Sensitivity analyses were conducted. The best of ten investigated interventions reduced internal dermatology access delays from roughly 150 weeks with 95% provider utilisation currently to 0.49 and 72%, respectively. Two other interventions reduced travel for external dermatology care by an estimated 68.1%. Model logic and inputs were developed from the literature and a six-facility rural health system, which may differ in other geographic regions. Model simplifications may not capture all access dynamics, and resources required for some interventions may not be available. Model-based analysis of rural care access disparities can help evaluate and screen potential interventions, develop useful insights, and identify policies worth further evaluating or testing in actual practise. In our rural setting, two interventions appear cost-effective in reducing patient access delays and provider over-utilisation; two others performed too poorly to warrant investing resources to implement or test in practise.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s12063-021-00211-1</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-6472-2913</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1936-9735
ispartof Operations management research, 2021-12, Vol.14 (3-4), p.359-377
issn 1936-9735
1936-9743
language eng
recordid cdi_proquest_journals_2604983012
source Springer Nature - Complete Springer Journals
subjects Analysis
Business and Management
Computer simulation
Dermatology
Engineering Economics
Impact resistance
Industrial and Production Engineering
Innovation/Technology Management
Logistics
Management
Marketing
Operations Management
Operations research
Operations Research/Decision Theory
Organization
Rural areas
Rural health
title Modelling policy interventions to improve patient access to rural dermatology care
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T00%3A09%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modelling%20policy%20interventions%20to%20improve%20patient%20access%20to%20rural%20dermatology%20care&rft.jtitle=Operations%20management%20research&rft.au=Cyr,%20Melissa%20E.&rft.date=2021-12-01&rft.volume=14&rft.issue=3-4&rft.spage=359&rft.epage=377&rft.pages=359-377&rft.issn=1936-9735&rft.eissn=1936-9743&rft_id=info:doi/10.1007/s12063-021-00211-1&rft_dat=%3Cgale_proqu%3EA715499534%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2604983012&rft_id=info:pmid/&rft_galeid=A715499534&rfr_iscdi=true