<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">Health</journal-id><journal-title-group><journal-title>Health</journal-title></journal-title-group><issn pub-type="epub">1949-4998</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/health.2020.129084</article-id><article-id pub-id-type="publisher-id">Health-102938</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Regional Differences in Specific Health Examination Utilization and Medical Care Expenditures in Japan
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nozomu</surname><given-names>Mandai</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mayumi</surname><given-names>Watanabe</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Faculty of Science and Engineering, Chuo University, Tokyo, Japan</addr-line></aff><aff id="aff1"><addr-line>Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>09</month><year>2020</year></pub-date><volume>12</volume><issue>09</issue><fpage>1143</fpage><lpage>1150</lpage><history><date date-type="received"><day>14,</day>	<month>August</month>	<year>2020</year></date><date date-type="rev-recd"><day>15,</day>	<month>September</month>	<year>2020</year>	</date><date date-type="accepted"><day>18,</day>	<month>September</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Despite having one of the most successful health systems in the world, annual medical expenditures in Japan have been increasing year to year. We sought to clarify regional differences in medical expenditures by analyzing the relationship between the specific health examination coverage and medical care expenditure by prefecture of Japan. 
  Methods: We used data from the National Database of Health Insurance Claims and Specific Health Checkups (NDB) Open Data Japan (2015) and Overview of 2015 National Medical Expenses to compare medical care expenditure per capita and proportions of persons receiving specific health examination between Japan nationally and individual prefectures. 
  Results: National medical expenditures were 42.3 trillion Japanese yen (JPY) (3851 hundred million dollars), with a national per capita rate of JPY347,219 (USD3156). Per capita medical expenditure rates by prefecture ranged from JPY290,900 (USD2645) in Saitama Prefecture to JPY 444,000 (USD4036) in Kochi Prefecture. The proportion of persons receiving specific health examinations was 49.0% for Japan overall and ranged from 39.3% in Hokkaido Prefecture to 63.4% in Tokyo Prefecture. We observed a significant negative correlation between per capita medical expenditures and the proportion of persons receiving specific health examinations (R = 0.553, p &lt; 0.001).
   Conclusion: We found a significant negative correlation between per capita medical expenditures and the proportion of persons receiving health examinations: prefectures with lower expenditures tended to have higher rates of medical examinations. Interventions to increase the proportion of persons receiving specific health examinations by prefecture could reduce per capita medical expenditures and reduce prefectural disparities in expenditures.
 
</p></abstract><kwd-group><kwd>Medical Expenditures</kwd><kwd> Regional Disparities</kwd><kwd> Health Examinations</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Japan’s health system implemented universal health insurance coverage in 1961 and is one of the most successful health systems in the world, despite having one of the highest life expectancies and the highest old-age dependency ratio among advanced economies [<xref ref-type="bibr" rid="scirp.102938-ref1">1</xref>]. However, annual medical expenditures per capita are in-creasing year by year, from JPY267,000 (USD2427) in 2007 to nearly JPY340,000 (USD3091) in 2017 (<xref ref-type="fig" rid="fig1">Figure 1</xref>) [<xref ref-type="bibr" rid="scirp.102938-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.102938-ref3">3</xref>]. To control rising healthcare costs, Japan’s Ministry of Health, Labour and Welfare (MHLW) has established an ongoing Medium- and Long-Term Medical Care Expenditure Regulation Plan, which aims to improve prevention of lifestyle diseases and shorten hospital lengths of stay, with an emphasis on joint work between the national and prefectural governments (<xref ref-type="fig" rid="fig2">Figure 2</xref>) to address regional differences in costs [<xref ref-type="bibr" rid="scirp.102938-ref4">4</xref>].</p><p>Regional and community planning and implementation of health policies have been identified as an important component of maintaining the low costs and improving equity in healthcare [<xref ref-type="bibr" rid="scirp.102938-ref5">5</xref>]. In addition to central policies emphasizing patient-centered health interactions, local efforts tailored to the particular needs of each regional health system are needed to foster equity and address regional</p><p>differences in quality, access, and costs of care. In an effort to further optimize expenditures, the Medium- and Long-Term Medical Care Expenditure Regulation Plan promotes regional difference analysis of medical expenditures.</p><p>To clarify regional differences in medical expenditures in Japan, we analyzed the relationship between the specific health examination coverage and medical care expenditure by prefecture of Japan using data from the National Database of Health Insurance Claims and Specific Health Checkups (NDB) Open Data Japan (2015) and Overview of 2015 National Medical Expenses.</p></sec><sec id="s2"><title>2. Methods</title><p>The NDB was implemented in 2009 by the MHLW in order to plan health policies using national data. Additionally, the database is used for health research purposes. The NDB includes most of the administrative claims and health checkup data from insurers in Japan, covering approximately 98% of healthcare services in the country. The database contains information on prefecture, sex, age, dates of admission and discharge, and codes for diagnoses, procedures, and prescriptions [<xref ref-type="bibr" rid="scirp.102938-ref6">6</xref>].</p><p>Using data from the NDB and the Overview of 2015 National Medical Expenses [<xref ref-type="bibr" rid="scirp.102938-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.102938-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.102938-ref9">9</xref>], we compared mean medical care expenditure per capita and mean proportions of persons receiving specific health examinations between Japan nationally and individual prefectures via One Sample t-test. To evaluate the relation-ship between per capita medical expenditures and the proportion of persons receiving specific health examinations, we calculated Pearson correlation coefficients. A ratio of JPY110: USD1 was used to convert currency (2014 value).</p><p>All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 26.0 (SPSS, Inc., Chicago, IL, USA). Statistical significance was set at p &lt; 0.05. The study was approved by the Medical Ethics Committee of Ibaraki Prefectural University of Health Sciences (approval No. e211-r010620).</p></sec><sec id="s3"><title>3. Results</title><p>National medical expenditures were 42.3 trillion Japanese yen (3851 hundred million dollars), with a national per capita rate of JPY347,219 (USD3156). Per capita medical expenditure rates by prefecture ranged from JPY290,900 (USD2645) in Saitama Prefecture to JPY444,000 (USD4036) in Kochi Prefecture (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>The proportion of persons receiving specific health examinations was 49.0% for Japan overall and ranged from 39.3% in Hokkaido Prefecture to 63.4% in Tokyo Prefecture (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p><p>We observed a significant negative correlation between per capita medical expenditures and the proportion of persons receiving specific health examinations (R = 0.553, p &lt; 0.001) (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>Substantial variation by prefecture exists in per capita medical expenditures and in the proportion of persons receiving specific health examinations. We found a significant negative correlation between per capita medical expenditures and the proportion of persons receiving health examinations: prefectures with lower per capita medical expenditures tended to have higher rates of specific medical</p><p>examinations.</p><p>It is possible that prefectures with high health awareness have high health examination rates and low expenditures. Health literacy is associated with healthy lifestyle, reduced lifestyle disease incidence, and participation in health screening and examinations [<xref ref-type="bibr" rid="scirp.102938-ref10">10</xref>].</p><p>Our findings suggest that increasing the proportion of persons receiving specific health examinations by prefecture would have a favorable impact on the medical care expenditure. Low health literacy is associated with less use of preventive services [<xref ref-type="bibr" rid="scirp.102938-ref11">11</xref>] and more unnecessary hospital admissions and emergency department visits [<xref ref-type="bibr" rid="scirp.102938-ref12">12</xref>]. Engagement in specific health examinations could reduce medical expenditures through early detection of risky lifestyle behaviors or lifestyle diseases and other diseases at earlier stages. Less expensive behavioral interventions as primary or secondary prevention can prevent costlier pharmacological interventions required to treat more severe disease. For example, physical inactivity is associated with increased medical expenditures due to increased hospitalizations, physician visits, and medications [<xref ref-type="bibr" rid="scirp.102938-ref13">13</xref>]. Relatively inexpensive lifestyle interventions targeting increased physical activity could prevent future costly treatments of disease sequelae, such as treatment for myocardial infarction related to physical inactivity and obesity. Likewise, lifestyle intervention in pre-diabetes reduces long-term medical expenditures [<xref ref-type="bibr" rid="scirp.102938-ref14">14</xref>], and progression from pre-diabetes to diabetes is associated with one-third higher medical expenditures compared to patients who did not progress to diabetes [<xref ref-type="bibr" rid="scirp.102938-ref15">15</xref>].</p><p>The strengths of the present study include use of standardized nationwide data on the majority of healthcare services in Japan. The observed correlation between per capita medical expenditures and the proportion of persons receiving specific health examinations is a novel finding and suggests an area for intervention to re-duce medical expenditures and improve population health.</p><p>However, some limitations also warrant mention. Data for our analysis was collected 5 years ago, in 2015; an analysis of more recent data is forthcoming. While the NDB covers the vast majority of healthcare expenditures in Japan, some expenditures, such as workplace injuries and injuries covered by automotive insurance, are not included [<xref ref-type="bibr" rid="scirp.102938-ref6">6</xref>]. While administrative claims data are generally regarded as having high validity, they are subject to classification errors and provide limited information on potentially important confounders or covariates [<xref ref-type="bibr" rid="scirp.102938-ref16">16</xref>]. Caution is warranted in interpreting the present results.</p></sec><sec id="s5"><title>5. Conclusion</title><p>This study suggests that interventions to increase the proportion of persons receiving specific health examinations by prefecture could reduce per capita medical expenditures and reduce prefectural disparities in medical expenditures.</p></sec><sec id="s6"><title>Acknowledgements</title><p>This article was supported in part by a JSPS KAKEN Grant-in-Aid for Early-Career Scientists (N.M. 19K19359).</p></sec><sec id="s7"><title>Ethical Approval</title><p>This study was approved by the Medical Ethics Committee of Ibaraki Prefectural University of Health Sciences (Ibaraki, Japan).</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Mandai, N. and Watanabe, M. (2020) Regional Differences in Specific Health Examination Utilization and Medical Care Expenditures in Japan. Health, 12, 1143-1150. https://doi.org/10.4236/health.2020.129084</p></sec></body><back><ref-list><title>References</title><ref id="scirp.102938-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Nozaki, M., Kashiwase, K. and Saito, I. (2017) Health Spending in Japan: Macro-Fiscal Implications and Reform Options. The Journal of the Economics of Ageing, 9, 156-171. https://doi.org/10.1016/j.jeoa.2016.11.002</mixed-citation></ref><ref id="scirp.102938-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Japan Ministry of Health, Labour and Welfare (2008) Annual Change in National Medical Care Expenditure per Capita. https://www.mhlw.go.jp/toukei/saikin/hw/k-iryohi/08/toukei1.html</mixed-citation></ref><ref id="scirp.102938-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Japan Ministry of Health, Labour and Welfare (2019) Outline of Health, Labour and Welfare Statistics 2019. https://www.mhlw.go.jp/toukei/youran/aramashi/all.pdf</mixed-citation></ref><ref id="scirp.102938-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Japan Ministry of Health Law (2009) Medium and Long-Term Medical Care Expenditure Regulation Plan. Ministry of Health, Labour and Welfare, Tokyo. https://www.mhlw.go.jp/english/wp/wp-hw3/dl/2-005.pdf</mixed-citation></ref><ref id="scirp.102938-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Shibuya, K., Hashimoto, H., Ikegami, N., Nishi, A., Tanimoto, T., Miyata, H., et al. (2011) Future of Japan’s System of Good Health at Low Cost with Equity: Beyond Universal Coverage. The Lancet, 378, 1265-1273. https://doi.org/10.1016/S0140-6736(11)61098-2</mixed-citation></ref><ref id="scirp.102938-ref6"><label>6</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Yasunaga</surname><given-names> H. </given-names></name>,<etal>et al</etal>. (<year>2019</year>)<article-title>Real World Data in Japan: Chapter I NDB</article-title><source> Annals of Clinical Epidemiology</source><volume> 1</volume>,<fpage> 28</fpage>-<lpage>30</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.102938-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Japan Ministry of Health, Labour and Welfare (2015) National Database of Health Insurance Claims and Specific Health Checkups of Japan. https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000177221.html</mixed-citation></ref><ref id="scirp.102938-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Japan Ministry of Health, Labour and Welfare (2015) Data on the Implementation Status of Specific Health Examination and Specific Health Guidance. https://www.mhlw.go.jp/bunya/shakaihosho/iryouseido01/info02a-2.html</mixed-citation></ref><ref id="scirp.102938-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Japan Ministry of Health, Labour and Welfare (2017) Overview of Medical Care Expenditure in 2015. https://www.mhlw.go.jp/toukei/saikin/hw/k-iryohi/15/index.html</mixed-citation></ref><ref id="scirp.102938-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Yokokawa, H., Fukuda, H., Yuasa, M., Sanada, H., Hisaoka, T. and Naito, T. (2016) Association between Health Literacy and Metabolic Syndrome or Healthy Lifestyle Characteristics among Community-Dwelling Japanese People. Diabetology &amp; Metabolic Syndrome, 8, 30. https://doi.org/10.1186/s13098-016-0142-8</mixed-citation></ref><ref id="scirp.102938-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Wennberg, D.E., Marr, A., Lang, L., O’Malley, S. and Bennett, G. (2010) A Randomized Trial of a Telephone Care-Management Strategy. New England Journal of Medicine, 363, 1245-1255. https://doi.org/10.1056/NEJMsa0902321</mixed-citation></ref><ref id="scirp.102938-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Berkman, N.D., Sheridan, S.L., Donahue, K.E., Halpern, D.J., Viera, A., Crotty, K., et al. Health Literacy Interventions and Outcomes: An Updated Systematic Review. Evidence Report/Technology Assessments. https://www.researchgate.net/profile/Nancy_Berkman/publication/232927322_Health_Literacy_Interventions_and_Outcomes_An_Updated_Systematic_Review/links/00b49521e417728c60000000/Health-Literacy-Interventions-and-Outcomes-An-Updated-Systematic-Review.pdf</mixed-citation></ref><ref id="scirp.102938-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Pratt, M., Macera, C.A. and Wang, G. (2000) Higher Direct Medical Costs Associated with Physical Inactivity. The Physician and Sportsmedicine, 28, 63-70.https://doi.org/10.3810/psm.2000.10.1237</mixed-citation></ref><ref id="scirp.102938-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Dall, T.M., Storm, M.V., Semilla, A.P., Wintfeld, N., O’Grady, M. and Venkat Narayan, K.M. (2015) Value of Lifestyle Intervention to Prevent Diabetes and Sequelae. American Journal of Preventive Medicine, 48, 271-280.https://doi.org/10.1016/j.amepre.2014.10.003</mixed-citation></ref><ref id="scirp.102938-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Khan, T., Tsipas, S. and Wozniak, G. (2017) Medical Care Expenditures for Individuals with Prediabetes: The Potential Cost Savings in Reducing the Risk of Developing Diabetes. Population Health Management, 20, 389-396.https://doi.org/10.1089/pop.2016.0134</mixed-citation></ref><ref id="scirp.102938-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Virnig, B.A. and McBean, M. (2001) Administrative Data for Public Health Surveillance and Planning. Annual Review of Public Health, 22, 213-230.https://doi.org/10.1146/annurev.publhealth.22.1.213</mixed-citation></ref></ref-list></back></article>