Public preferences for health care facilities in rural China: A discrete choice experiment
To successfully tackle the problems with the underutilization of primary care in rural China, it is important to align resource allocation with the preferences of the rural population. However, despite growing interest in the factors influencing the rural population's choice of facility, it is...
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Veröffentlicht in: | Social science & medicine (1982) 2019-09, Vol.237, p.112396-112396, Article 112396 |
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description | To successfully tackle the problems with the underutilization of primary care in rural China, it is important to align resource allocation with the preferences of the rural population. However, despite growing interest in the factors influencing the rural population's choice of facility, it is unclear how much weight should be placed on these factors, especially under different scenarios of disease severity. In the first study to elicit quantified trade-offs among influential factors in choosing health care facilities, we carried out a discrete choice experiment (DCE) in rural China. We used a Bayesian efficient design to construct 36 choice sets, and then divided them into three blocks. Each block formed one version of questionnaire that contained 12 choice questions. Each question was assigned a hypothetical perceived severity scenario of either minor or severe disease. 559 Rural residents completed the DCE through face-to-face interviews in December 2017–March 2018. We used mixed logit models to analyze the choice data. The factors regarding the availability and affordability of a facility, such as visit time, travel time, and out-of-pocket cost, were highly valued. When the facilities changed simultaneously from the worst to the best case, a huge increase (from 4.8% to 66.5%) in the predicted choice probability of choosing to visit a facility was observed under perceived minor disease scenario, whereas there was no significant change under perceived severe disease scenario. Improvements to drug availability, medical professional skill and equipment in rural primary care system can induce potential medical care seeking, and redirect patient flow from higher level hospitals to primary level. Especially, township health centers, which provide service to the residents in rural communities, have great potential to be the ideal facilities for first-contact care.
•First DCE to study the relative importance of facility factors in rural China.•Rural residents highly valued the availability and affordability of a facility.•Factors' relative importance varied between minor and severe disease scenarios.•Improving available facilities could induce the demand for health care. |
doi_str_mv | 10.1016/j.socscimed.2019.112396 |
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•First DCE to study the relative importance of facility factors in rural China.•Rural residents highly valued the availability and affordability of a facility.•Factors' relative importance varied between minor and severe disease scenarios.•Improving available facilities could induce the demand for health care.</description><identifier>ISSN: 0277-9536</identifier><identifier>EISSN: 1873-5347</identifier><identifier>DOI: 10.1016/j.socscimed.2019.112396</identifier><identifier>PMID: 31404884</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Affordability ; Availability ; Bayesian analysis ; China ; Discrete choice ; Discrete choice experiment ; Disease ; Health behavior ; Health care ; Health facilities ; Health problems ; Health services ; Health-seeking behavior ; Hospitals ; Medicine ; Patients ; Personal expenditure ; Physicians ; Primary care ; Public health ; Questionnaires ; Resource allocation ; Rural areas ; Rural communities ; Rural health ; Rural population ; Severity ; Stated preferences</subject><ispartof>Social science & medicine (1982), 2019-09, Vol.237, p.112396-112396, Article 112396</ispartof><rights>2019 The Authors</rights><rights>Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.</rights><rights>Copyright Pergamon Press Inc. Sep 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-3b1d87b252284e96b42d4f2c3d22f9890594d6d801226d8f8694ad883628edf3</citedby><cites>FETCH-LOGICAL-c448t-3b1d87b252284e96b42d4f2c3d22f9890594d6d801226d8f8694ad883628edf3</cites><orcidid>0000-0001-7384-1351</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.socscimed.2019.112396$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3548,27922,27923,33772,45993</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31404884$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Yun</creatorcontrib><creatorcontrib>Kong, Qingxia</creatorcontrib><creatorcontrib>de Bekker-Grob, Esther W.</creatorcontrib><title>Public preferences for health care facilities in rural China: A discrete choice experiment</title><title>Social science & medicine (1982)</title><addtitle>Soc Sci Med</addtitle><description>To successfully tackle the problems with the underutilization of primary care in rural China, it is important to align resource allocation with the preferences of the rural population. However, despite growing interest in the factors influencing the rural population's choice of facility, it is unclear how much weight should be placed on these factors, especially under different scenarios of disease severity. In the first study to elicit quantified trade-offs among influential factors in choosing health care facilities, we carried out a discrete choice experiment (DCE) in rural China. We used a Bayesian efficient design to construct 36 choice sets, and then divided them into three blocks. Each block formed one version of questionnaire that contained 12 choice questions. Each question was assigned a hypothetical perceived severity scenario of either minor or severe disease. 559 Rural residents completed the DCE through face-to-face interviews in December 2017–March 2018. We used mixed logit models to analyze the choice data. The factors regarding the availability and affordability of a facility, such as visit time, travel time, and out-of-pocket cost, were highly valued. When the facilities changed simultaneously from the worst to the best case, a huge increase (from 4.8% to 66.5%) in the predicted choice probability of choosing to visit a facility was observed under perceived minor disease scenario, whereas there was no significant change under perceived severe disease scenario. Improvements to drug availability, medical professional skill and equipment in rural primary care system can induce potential medical care seeking, and redirect patient flow from higher level hospitals to primary level. Especially, township health centers, which provide service to the residents in rural communities, have great potential to be the ideal facilities for first-contact care.
•First DCE to study the relative importance of facility factors in rural China.•Rural residents highly valued the availability and affordability of a facility.•Factors' relative importance varied between minor and severe disease scenarios.•Improving available facilities could induce the demand for health care.</description><subject>Affordability</subject><subject>Availability</subject><subject>Bayesian analysis</subject><subject>China</subject><subject>Discrete choice</subject><subject>Discrete choice experiment</subject><subject>Disease</subject><subject>Health behavior</subject><subject>Health care</subject><subject>Health facilities</subject><subject>Health problems</subject><subject>Health services</subject><subject>Health-seeking behavior</subject><subject>Hospitals</subject><subject>Medicine</subject><subject>Patients</subject><subject>Personal expenditure</subject><subject>Physicians</subject><subject>Primary care</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Resource allocation</subject><subject>Rural areas</subject><subject>Rural communities</subject><subject>Rural health</subject><subject>Rural population</subject><subject>Severity</subject><subject>Stated preferences</subject><issn>0277-9536</issn><issn>1873-5347</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><recordid>eNqFkD1PwzAQhi0EglL4C2CJhSXFPjuJw1ZVfElIMHRisRz7oroKSbETBP8eVwUGFqYb7rnXrx9CzjmbccaLq_Us9jZa_4puBoxXM85BVMUemXBViiwXstwnEwZlmVW5KI7IcYxrxhhnShySI8Elk0rJCXl5HuvWW7oJ2GDAzmKkTR_oCk07rKg1AWljrG_94NPKdzSMwbR0sfKduaZz6ny0AQekdtV7ixQ_NhhSr244IQeNaSOefs8pWd7eLBf32ePT3cNi_phZKdWQiZo7VdaQAyiJVVFLcLIBKxxAU6mK5ZV0hVOMA6TRqKKSxiklClDoGjEll7vYTejfRoyDfk2VsG1Nh_0YNUAJpRBCyoRe_EHX_Ri6VE6D4JDzggFLVLmjbOhjTF70Jn3IhE_Nmd7a12v9a19v7eud_XR59p0_1tvdz92P7gTMdwAmH-8eg04pW-nOB7SDdr3_95EvEtaYqA</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Liu, Yun</creator><creator>Kong, Qingxia</creator><creator>de Bekker-Grob, Esther W.</creator><general>Elsevier Ltd</general><general>Pergamon Press Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U3</scope><scope>7U4</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>K9.</scope><scope>WZK</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7384-1351</orcidid></search><sort><creationdate>201909</creationdate><title>Public preferences for health care facilities in rural China: A discrete choice experiment</title><author>Liu, Yun ; Kong, Qingxia ; de Bekker-Grob, Esther W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-3b1d87b252284e96b42d4f2c3d22f9890594d6d801226d8f8694ad883628edf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Affordability</topic><topic>Availability</topic><topic>Bayesian analysis</topic><topic>China</topic><topic>Discrete choice</topic><topic>Discrete choice experiment</topic><topic>Disease</topic><topic>Health behavior</topic><topic>Health care</topic><topic>Health facilities</topic><topic>Health problems</topic><topic>Health services</topic><topic>Health-seeking behavior</topic><topic>Hospitals</topic><topic>Medicine</topic><topic>Patients</topic><topic>Personal expenditure</topic><topic>Physicians</topic><topic>Primary care</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Resource allocation</topic><topic>Rural areas</topic><topic>Rural communities</topic><topic>Rural health</topic><topic>Rural population</topic><topic>Severity</topic><topic>Stated preferences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Yun</creatorcontrib><creatorcontrib>Kong, Qingxia</creatorcontrib><creatorcontrib>de Bekker-Grob, Esther W.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Sociological Abstracts (Ovid)</collection><collection>MEDLINE - Academic</collection><jtitle>Social science & medicine (1982)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Yun</au><au>Kong, Qingxia</au><au>de Bekker-Grob, Esther W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Public preferences for health care facilities in rural China: A discrete choice experiment</atitle><jtitle>Social science & medicine (1982)</jtitle><addtitle>Soc Sci Med</addtitle><date>2019-09</date><risdate>2019</risdate><volume>237</volume><spage>112396</spage><epage>112396</epage><pages>112396-112396</pages><artnum>112396</artnum><issn>0277-9536</issn><eissn>1873-5347</eissn><abstract>To successfully tackle the problems with the underutilization of primary care in rural China, it is important to align resource allocation with the preferences of the rural population. However, despite growing interest in the factors influencing the rural population's choice of facility, it is unclear how much weight should be placed on these factors, especially under different scenarios of disease severity. In the first study to elicit quantified trade-offs among influential factors in choosing health care facilities, we carried out a discrete choice experiment (DCE) in rural China. We used a Bayesian efficient design to construct 36 choice sets, and then divided them into three blocks. Each block formed one version of questionnaire that contained 12 choice questions. Each question was assigned a hypothetical perceived severity scenario of either minor or severe disease. 559 Rural residents completed the DCE through face-to-face interviews in December 2017–March 2018. We used mixed logit models to analyze the choice data. The factors regarding the availability and affordability of a facility, such as visit time, travel time, and out-of-pocket cost, were highly valued. When the facilities changed simultaneously from the worst to the best case, a huge increase (from 4.8% to 66.5%) in the predicted choice probability of choosing to visit a facility was observed under perceived minor disease scenario, whereas there was no significant change under perceived severe disease scenario. Improvements to drug availability, medical professional skill and equipment in rural primary care system can induce potential medical care seeking, and redirect patient flow from higher level hospitals to primary level. Especially, township health centers, which provide service to the residents in rural communities, have great potential to be the ideal facilities for first-contact care.
•First DCE to study the relative importance of facility factors in rural China.•Rural residents highly valued the availability and affordability of a facility.•Factors' relative importance varied between minor and severe disease scenarios.•Improving available facilities could induce the demand for health care.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>31404884</pmid><doi>10.1016/j.socscimed.2019.112396</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-7384-1351</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Affordability Availability Bayesian analysis China Discrete choice Discrete choice experiment Disease Health behavior Health care Health facilities Health problems Health services Health-seeking behavior Hospitals Medicine Patients Personal expenditure Physicians Primary care Public health Questionnaires Resource allocation Rural areas Rural communities Rural health Rural population Severity Stated preferences |
title | Public preferences for health care facilities in rural China: A discrete choice experiment |
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