Trip and mode choice decisions to out-patient health care facilities: A longitudinal analysis

This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities. The study's focus is an out-patient trip to a health care facility, and the source of data is the China Health and Retirement Longitudinal Study (CHARLS) for 2011, 2...
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Autor*in:	Patrick McCarthy [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	JEL C23 C25 I12 J14 R41

Übergeordnetes Werk:	In: Journal of Management Science and Engineering - KeAi Communications Co., Ltd., 2020, 7(2022), 2, Seite 173-196
Übergeordnetes Werk:	volume:7 ; year:2022 ; number:2 ; pages:173-196

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.jmse.2021.03.005

Katalog-ID:	DOAJ037186752

Internformat


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spelling	10.1016/j.jmse.2021.03.005 doi (DE-627)DOAJ037186752 (DE-599)DOAJ1c060a1d3f7c4168ab4b1eaeadc1b9a2 DE-627 ger DE-627 rakwb eng T55.4-60.8 Patrick McCarthy verfasserin aut Trip and mode choice decisions to out-patient health care facilities: A longitudinal analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities. The study's focus is an out-patient trip to a health care facility, and the source of data is the China Health and Retirement Longitudinal Study (CHARLS) for 2011, 2013 and 2015. Based on a random utility framework, the study finds that making a trip to treat an illness or for a check-up increases the likelihood of an out-patient trip by 52 and 31 probability points, respectively. Out-patient visits for which insurance is not relevant, when the individual pays most of the out-of-pocket costs and when the facility is a public facility are also important factors. Diagnosed and other personal health factors have some but much more modest effects on one's trip choice. The analysis also identifies differential modal impacts of health indicators. A series of robustness tests generally confirm the results and identify areas for further research. Including a no-trip option, the biannual survey and infrequent out-patient trip-making mitigate endogeneity concerns. The analysis has broad health policy and transportation implications for an ageing population whose share is increasing. JEL C23 C25 I12 J14 R41 Industrial engineering. Management engineering In Journal of Management Science and Engineering KeAi Communications Co., Ltd., 2020 7(2022), 2, Seite 173-196 (DE-627)1665781963 (DE-600)2972364-4 25895532 nnns volume:7 year:2022 number:2 pages:173-196 https://doi.org/10.1016/j.jmse.2021.03.005 kostenfrei https://doaj.org/article/1c060a1d3f7c4168ab4b1eaeadc1b9a2 kostenfrei http://www.sciencedirect.com/science/article/pii/S2096232021000263 kostenfrei https://doaj.org/toc/2096-2320 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2022 2 173-196
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allfieldsGer	10.1016/j.jmse.2021.03.005 doi (DE-627)DOAJ037186752 (DE-599)DOAJ1c060a1d3f7c4168ab4b1eaeadc1b9a2 DE-627 ger DE-627 rakwb eng T55.4-60.8 Patrick McCarthy verfasserin aut Trip and mode choice decisions to out-patient health care facilities: A longitudinal analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities. The study's focus is an out-patient trip to a health care facility, and the source of data is the China Health and Retirement Longitudinal Study (CHARLS) for 2011, 2013 and 2015. Based on a random utility framework, the study finds that making a trip to treat an illness or for a check-up increases the likelihood of an out-patient trip by 52 and 31 probability points, respectively. Out-patient visits for which insurance is not relevant, when the individual pays most of the out-of-pocket costs and when the facility is a public facility are also important factors. Diagnosed and other personal health factors have some but much more modest effects on one's trip choice. The analysis also identifies differential modal impacts of health indicators. A series of robustness tests generally confirm the results and identify areas for further research. Including a no-trip option, the biannual survey and infrequent out-patient trip-making mitigate endogeneity concerns. The analysis has broad health policy and transportation implications for an ageing population whose share is increasing. JEL C23 C25 I12 J14 R41 Industrial engineering. Management engineering In Journal of Management Science and Engineering KeAi Communications Co., Ltd., 2020 7(2022), 2, Seite 173-196 (DE-627)1665781963 (DE-600)2972364-4 25895532 nnns volume:7 year:2022 number:2 pages:173-196 https://doi.org/10.1016/j.jmse.2021.03.005 kostenfrei https://doaj.org/article/1c060a1d3f7c4168ab4b1eaeadc1b9a2 kostenfrei http://www.sciencedirect.com/science/article/pii/S2096232021000263 kostenfrei https://doaj.org/toc/2096-2320 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2022 2 173-196
allfieldsSound	10.1016/j.jmse.2021.03.005 doi (DE-627)DOAJ037186752 (DE-599)DOAJ1c060a1d3f7c4168ab4b1eaeadc1b9a2 DE-627 ger DE-627 rakwb eng T55.4-60.8 Patrick McCarthy verfasserin aut Trip and mode choice decisions to out-patient health care facilities: A longitudinal analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities. The study's focus is an out-patient trip to a health care facility, and the source of data is the China Health and Retirement Longitudinal Study (CHARLS) for 2011, 2013 and 2015. Based on a random utility framework, the study finds that making a trip to treat an illness or for a check-up increases the likelihood of an out-patient trip by 52 and 31 probability points, respectively. Out-patient visits for which insurance is not relevant, when the individual pays most of the out-of-pocket costs and when the facility is a public facility are also important factors. Diagnosed and other personal health factors have some but much more modest effects on one's trip choice. The analysis also identifies differential modal impacts of health indicators. A series of robustness tests generally confirm the results and identify areas for further research. Including a no-trip option, the biannual survey and infrequent out-patient trip-making mitigate endogeneity concerns. The analysis has broad health policy and transportation implications for an ageing population whose share is increasing. JEL C23 C25 I12 J14 R41 Industrial engineering. Management engineering In Journal of Management Science and Engineering KeAi Communications Co., Ltd., 2020 7(2022), 2, Seite 173-196 (DE-627)1665781963 (DE-600)2972364-4 25895532 nnns volume:7 year:2022 number:2 pages:173-196 https://doi.org/10.1016/j.jmse.2021.03.005 kostenfrei https://doaj.org/article/1c060a1d3f7c4168ab4b1eaeadc1b9a2 kostenfrei http://www.sciencedirect.com/science/article/pii/S2096232021000263 kostenfrei https://doaj.org/toc/2096-2320 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2022 2 173-196
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title	Trip and mode choice decisions to out-patient health care facilities: A longitudinal analysis
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title_sort	trip and mode choice decisions to out-patient health care facilities: a longitudinal analysis
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title_auth	Trip and mode choice decisions to out-patient health care facilities: A longitudinal analysis
abstract	This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities. The study's focus is an out-patient trip to a health care facility, and the source of data is the China Health and Retirement Longitudinal Study (CHARLS) for 2011, 2013 and 2015. Based on a random utility framework, the study finds that making a trip to treat an illness or for a check-up increases the likelihood of an out-patient trip by 52 and 31 probability points, respectively. Out-patient visits for which insurance is not relevant, when the individual pays most of the out-of-pocket costs and when the facility is a public facility are also important factors. Diagnosed and other personal health factors have some but much more modest effects on one's trip choice. The analysis also identifies differential modal impacts of health indicators. A series of robustness tests generally confirm the results and identify areas for further research. Including a no-trip option, the biannual survey and infrequent out-patient trip-making mitigate endogeneity concerns. The analysis has broad health policy and transportation implications for an ageing population whose share is increasing.
abstractGer	This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities. The study's focus is an out-patient trip to a health care facility, and the source of data is the China Health and Retirement Longitudinal Study (CHARLS) for 2011, 2013 and 2015. Based on a random utility framework, the study finds that making a trip to treat an illness or for a check-up increases the likelihood of an out-patient trip by 52 and 31 probability points, respectively. Out-patient visits for which insurance is not relevant, when the individual pays most of the out-of-pocket costs and when the facility is a public facility are also important factors. Diagnosed and other personal health factors have some but much more modest effects on one's trip choice. The analysis also identifies differential modal impacts of health indicators. A series of robustness tests generally confirm the results and identify areas for further research. Including a no-trip option, the biannual survey and infrequent out-patient trip-making mitigate endogeneity concerns. The analysis has broad health policy and transportation implications for an ageing population whose share is increasing.
abstract_unstemmed	This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities. The study's focus is an out-patient trip to a health care facility, and the source of data is the China Health and Retirement Longitudinal Study (CHARLS) for 2011, 2013 and 2015. Based on a random utility framework, the study finds that making a trip to treat an illness or for a check-up increases the likelihood of an out-patient trip by 52 and 31 probability points, respectively. Out-patient visits for which insurance is not relevant, when the individual pays most of the out-of-pocket costs and when the facility is a public facility are also important factors. Diagnosed and other personal health factors have some but much more modest effects on one's trip choice. The analysis also identifies differential modal impacts of health indicators. A series of robustness tests generally confirm the results and identify areas for further research. Including a no-trip option, the biannual survey and infrequent out-patient trip-making mitigate endogeneity concerns. The analysis has broad health policy and transportation implications for an ageing population whose share is increasing.
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title_short	Trip and mode choice decisions to out-patient health care facilities: A longitudinal analysis
url	https://doi.org/10.1016/j.jmse.2021.03.005 https://doaj.org/article/1c060a1d3f7c4168ab4b1eaeadc1b9a2 http://www.sciencedirect.com/science/article/pii/S2096232021000263 https://doaj.org/toc/2096-2320
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Trip and mode choice decisions to out-patient health care facilities: A longitudinal analysis

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