IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0151690.html
   My bibliography  Save this article

Income Related Inequality of Health Care Access in Japan: A Retrospective Cohort Study

Author

Listed:
  • Misuzu Fujita
  • Yasunori Sato
  • Kengo Nagashima
  • Sho Takahashi
  • Akira Hata

Abstract

The purpose of this retrospective cohort study was to analyze the association between income level and health care access in Japan. Data from a total of 222,259 subjects (age range, 0–74 years) who submitted National Health Insurance claims in Chiba City from April 2012 to March 2014 and who declared income for the tax period from January 1 to December 31, 2012 were integrated and analyzed. The generalized estimating equation, in which household was defined as a cluster, was used to evaluate the association between equivalent income and utilization and duration of hospitalization and outpatient care services. A significant positive linear association was observed between income level and outpatient visit rates among all age groups of both sexes; however, a significantly higher rate and longer period of hospitalization, and longer outpatient care, were observed among certain lower income subgroups. To control for decreased income due to hospitalization, subjects hospitalized during the previous year were excluded, and the data was then reanalyzed. Significant inverse associations remained in the hospitalization rate among 40–59-year-old men and 60–69-year-old women, and in duration of hospitalization among 40–59 and 60–69-year-olds of both sexes and 70–74-year-old women. These results suggest that low-income individuals in Japan have poorer access to outpatient care and more serious health conditions than their higher income counterparts.

Suggested Citation

  • Misuzu Fujita & Yasunori Sato & Kengo Nagashima & Sho Takahashi & Akira Hata, 2016. "Income Related Inequality of Health Care Access in Japan: A Retrospective Cohort Study," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-19, March.
  • Handle: RePEc:plo:pone00:0151690
    DOI: 10.1371/journal.pone.0151690
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0151690
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0151690&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0151690?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. repec:mpr:mprres:7725 is not listed on IDEAS
    2. Wei Pan, 2001. "Akaike's Information Criterion in Generalized Estimating Equations," Biometrics, The International Biometric Society, vol. 57(1), pages 120-125, March.
    3. Dinca-Panaitescu, Serban & Dinca-Panaitescu, Mihaela & Bryant, Toba & Daiski, Isolde & Pilkington, Beryl & Raphael, Dennis, 2011. "Diabetes prevalence and income: Results of the Canadian Community Health Survey," Health Policy, Elsevier, vol. 99(2), pages 116-123, February.
    4. Youn Jung & Juhwan Oh & Soonim Huh & Ichiro Kawachi, 2013. "The Effects of Employment Conditions on Smoking Status and Smoking Intensity: The Analysis of Korean Labor & Income Panel 8th–10th Wave," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-8, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Misuzu Fujita & Yasunori Sato & Kengo Nagashima & Sho Takahashi & Akira Hata, 2017. "Impact of geographic accessibility on utilization of the annual health check-ups by income level in Japan: A multilevel analysis," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    2. Chia-Hsien Chang & Motonobu Sakaguchi & John Weil & Thomas Verstraeten, 2018. "The incidence of medically-attended norovirus gastro-enteritis in Japan: Modelling using a medical care insurance claims database," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-14, March.
    3. Conching, Andie Kealohi Sato & Thayer, Zaneta, 2019. "Biological pathways for historical trauma to affect health: A conceptual model focusing on epigenetic modifications," Social Science & Medicine, Elsevier, vol. 230(C), pages 74-82.
    4. Akemi Nishide & Misuzu Fujita & Yasunori Sato & Kengo Nagashima & Sho Takahashi & Akira Hata, 2017. "Income-Related Inequalities in Access to Dental Care Services in Japan," IJERPH, MDPI, vol. 14(5), pages 1-10, May.
    5. Yuan, Yaqi, 2021. "Public satisfaction with health care system in 30 countries: The effects of individual characteristics and social contexts," Health Policy, Elsevier, vol. 125(10), pages 1359-1366.
    6. Erika Obikane & Daisuke Nishi & Akihiko Ozaki & Tomohiro Shinozaki & Norito Kawakami & Takahiro Tabuchi, 2023. "Association between Poverty and Refraining from Seeking Medical Care during the COVID-19 Pandemic in Japan: A Prospective Cohort Study," IJERPH, MDPI, vol. 20(3), pages 1-14, February.
    7. Tasuku Okui & Akie Hirata & Naoki Nakashima, 2022. "Association of Esophageal Cancer Mortality with Municipal Socioeconomic Deprivation Level in Japan, 2013–2017: An Ecological Study Using Nationwide Data," IJERPH, MDPI, vol. 19(9), pages 1-9, April.
    8. Tomoko Kobayashi & Kaori Honjo & Ehab Salah Eshak & Hiroyasu Iso & Norie Sawada & Shoichiro Tsugane & for the Japan Public Health Center-based Prospective Study for the Next Generation (JPHC-NEXT) Stu, 2017. "Work–family conflict and self-rated health among Japanese workers: How household income modifies associations," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-12, February.
    9. Sayaka Sakoda & Masaoki Tamura & Naohiko Wakutsu, 2022. "The Global Financial Crisis and Healthcare Inequality in Japan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(1), pages 273-286, May.
    10. Kanade Ito & Noriko Cable & Tatsuo Yamamoto & Kayo Suzuki & Katsunori Kondo & Ken Osaka & Georgios Tsakos & Richard G. Watt & Jun Aida, 2020. "Wider Dental Care Coverage Associated with Lower Oral Health Inequalities: A Comparison Study between Japan and England," IJERPH, MDPI, vol. 17(15), pages 1-10, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wei Pan, 2001. "Model Selection in Estimating Equations," Biometrics, The International Biometric Society, vol. 57(2), pages 529-534, June.
    2. Michael S. Rendall & Bonnie Ghosh-Dastidar & Margaret M. Weden & Elizabeth H. Baker & Zafar Nazarov, 2013. "Multiple Imputation for Combined-survey Estimation With Incomplete Regressors in One but Not Both Surveys," Sociological Methods & Research, , vol. 42(4), pages 483-530, November.
    3. Katrina N. Burns & Kan Sun & Julius N. Fobil & Richard L. Neitzel, 2016. "Heart Rate, Stress, and Occupational Noise Exposure among Electronic Waste Recycling Workers," IJERPH, MDPI, vol. 13(1), pages 1-16, January.
    4. Song Guo & Feng Ling & Juan Hou & Jinna Wang & Guiming Fu & Zhenyu Gong, 2014. "Mosquito Surveillance Revealed Lagged Effects of Mosquito Abundance on Mosquito-Borne Disease Transmission: A Retrospective Study in Zhejiang, China," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-8, November.
    5. Asare, Samuel, 2024. "Association of cigarette smoking with changes in macroeconomic conditions," Economics & Human Biology, Elsevier, vol. 54(C).
    6. Laura Neumeyer & Anna Gründler & Anna-Luisa Stöber, 2023. "Don’t Worry, Be Happy—Does the CEO’s Personality Mitigate the Negative Effect of Financial Constraints on Employee Satisfaction?," Schmalenbach Journal of Business Research, Springer, vol. 75(1), pages 71-98, March.
    7. Li, Gaorong & Lian, Heng & Feng, Sanying & Zhu, Lixing, 2013. "Automatic variable selection for longitudinal generalized linear models," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 174-186.
    8. Mark Rooij, 2018. "Transitional modeling of experimental longitudinal data with missing values," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(1), pages 107-130, March.
    9. Brassolotto, Julia & Daly, Tamara, 2016. "Scarcity discourses and their impacts on renal care policy, practices, and everyday experiences in rural British Columbia," Social Science & Medicine, Elsevier, vol. 152(C), pages 138-146.
    10. Aristides dos Santos, Anderson Moreira & Perelman, Julian & Jacinto, Paulo de Andrade & Tejada, Cesar Augusto Oviedo & Barros, Aluísio J.D. & Bertoldi, Andréa D. & Matijasevich, Alicia & Santos, Iná S, 2019. "Income-related inequality and inequity in children’s health care: A longitudinal analysis using data from Brazil," Social Science & Medicine, Elsevier, vol. 224(C), pages 127-137.
    11. Ting Wang & Liya Fu & Yanan Song, 2025. "Variable selection and structure identification for additive models with longitudinal data," Computational Statistics, Springer, vol. 40(2), pages 951-975, February.
    12. Yuvraj Sunecher & Naushad Mamode Khan & Miroslav M. Ristić & Vandna Jowaheer, 2019. "BINAR(1) negative binomial model for bivariate non-stationary time series with different over-dispersion indices," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(4), pages 625-653, December.
    13. Merlo, Luca & Petrella, Lea & Salvati, Nicola & Tzavidis, Nikos, 2022. "Marginal M-quantile regression for multivariate dependent data," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
    14. Bastian Rake, 2017. "Determinants of pharmaceutical innovation: the role of technological opportunities revisited," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 691-727, September.
    15. Zijing Yang & Chengfeng Zhang & Yawen Hou & Zheng Chen, 2023. "Analysis of dynamic restricted mean survival time based on pseudo‐observations," Biometrics, The International Biometric Society, vol. 79(4), pages 3690-3700, December.
    16. Selles Jules & Bonhommeau Sylvain & Guillotreau Patrice & Vallée Thomas, 2020. "Can the Threat of Economic Sanctions Ensure the Sustainability of International Fisheries? An Experiment of a Dynamic Non-cooperative CPR Game with Uncertain Tipping Point," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(1), pages 153-176, May.
    17. Sean Duffy & J. J. Naddeo & David Owens & John Smith, 2024. "Cognitive Load and Mixed Strategies: On Brains and Minimax," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 26(03), pages 1-34, September.
    18. Cockrell, Seth & Friske, Wesley & Voorhees, Clay M. & Calantone, Roger J., 2024. "The effects of innovation on product recall likelihood," Journal of Business Research, Elsevier, vol. 173(C).
    19. Marc-Andreas Muendler & Sascha O. Becker, 2010. "Margins of Multinational Labor Substitution," American Economic Review, American Economic Association, vol. 100(5), pages 1999-2030, December.
    20. Richardson, Eugene T. & Kelly, J. Daniel & Sesay, Osman & Drasher, Michael D. & Desai, Ishaan K. & Frankfurter, Raphael & Farmer, Paul E. & Barrie, Mohamed Bailor, 2017. "The symbolic violence of ‘outbreak’: A mixed methods, quasi-experimental impact evaluation of social protection on Ebola survivor wellbeing," Social Science & Medicine, Elsevier, vol. 195(C), pages 77-82.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0151690. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.