Impact of geographic accessibility on utilization of the annual health check-ups by income level in Japan: A multilevel analysis

Although both geographic accessibility and socioeconomic status have been indicated as being important factors for the utilization of health care services, their combined effect has not been evaluated. The aim of this study was to reveal whether an income-dependent difference in the impact of geographic accessibility on the utilization of government-led annual health check-ups exists. Existing data collected and provided by Chiba City Hall were employed and analyzed as a retrospective cohort study. The subjects were 166,966 beneficiaries of National Health Insurance in Chiba City, Japan, aged 40 to 74 years. Of all subjects, 54,748 (32.8%) had an annual health check-up in fiscal year 2012. As an optimal index of geographic accessibility has not been established, five measures were calculated: travel time to the nearest health care facility, density of health care facilities (number facilities within a 30-min walking distance from the district of residence), and three indices based on the two-step floating catchment area method. Three-level logistic regression modeling with random intercepts for household and district of residence was performed. Of the five measures, density of health care facilities was the most compatible according to Akaike’s information criterion. Both low density and low income were associated with decreased utilization of the health check-ups. Furthermore, a linear relationship was observed between the density of facilities and utilization of the health check-ups in all income groups and its slope was significantly steeper among subjects with an equivalent income of 0.00 yen than among those with equivalent income of 1.01–2.00 million yen (p = 0.028) or 2.01 million yen or more (p = 0.040). This result indicated that subjects with lower incomes were more susceptible to the effects of geographic accessibility than were those with higher incomes. Thus, better geographic accessibility could increase the health check-up utilization and also decrease the income-related disparity of utilization.

[1]  Yi Qi,et al.  An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. , 2009, Health & place.

[2]  Kevin A. Henry,et al.  Association between individual and geographic factors and nonadherence to mammography screening guidelines. , 2014, Journal of women's health.

[3]  M. McGrail,et al.  Spatial accessibility of primary health care utilising the two step floating catchment area method: an assessment of recent improvements , 2012, International Journal of Health Geographics.

[4]  N. Powe,et al.  Designing and evaluating interventions to eliminate racial and ethnic disparities in health care , 2002, Journal of general internal medicine.

[5]  M. Miwa,et al.  The effect of the development of an emergency transfer system on the travel time to tertiary care centres in Japan , 2006, International journal of health geographics.

[6]  Giuseppe Costa,et al.  Educational inequalities in cause-specific mortality in middle-aged and older men and women in eight western European populations , 2005, The Lancet.

[7]  M. Dignan,et al.  Access to Mammography Facilities and Detection of Breast Cancer by Screening Mammography: A GIS Approach. , 2009, International journal of cancer prevention.

[8]  F. Grad The Preamble of the Constitution of the World Health Organization. , 2002, Bulletin of the World Health Organization.

[9]  L. Pickle,et al.  Access to mammography screening in a large urban population: a multi-level analysis , 2009, Cancer Causes & Control.

[10]  S. Coughlin,et al.  Contextual analysis of breast and cervical cancer screening and factors associated with health care access among United States women, 2002. , 2008, Social science & medicine.

[11]  D. Forman,et al.  Social and geographical factors affecting access to treatment of colorectal cancer: a cancer registry study , 2012, BMJ Open.

[12]  J. Zwanziger,et al.  Reduction in Racial and Ethnic Disparities After Enrollment in the State Children's Health Insurance Program , 2005, Pediatrics.

[13]  R. Theriault,et al.  Mammography capacity impact on screening rates and breast cancer stage at diagnosis. , 2009, American journal of preventive medicine.

[14]  D. Henson,et al.  Correlations between access to mammography and breast cancer stage at diagnosis , 2005, Cancer.

[15]  J. Eberth,et al.  Geographic Access to Mammography and Its Relationship to Breast Cancer Screening and Stage at Diagnosis: A Systematic Review. , 2015, Women's health issues : official publication of the Jacobs Institute of Women's Health.

[16]  F. Diderichsen,et al.  Health Inequality - determinants and policies , 2012, Scandinavian journal of public health.

[17]  Suocheng Dong,et al.  Assessing potential spatial accessibility of health services in rural China: a case study of Donghai county , 2013, International Journal for Equity in Health.

[18]  Tijs Neutens,et al.  A commuter-based two-step floating catchment area method for measuring spatial accessibility of daycare centers. , 2015, Health & place.

[19]  G. Tsakos,et al.  Inequalities of dental prosthesis use under universal healthcare insurance. , 2014, Community dentistry and oral epidemiology.

[20]  Elena B. Elkin,et al.  Geographic Access and the Use of Screening Mammography , 2010, Medical care.

[21]  Jack Hadley,et al.  Insurance coverage, medical care use, and short-term health changes following an unintentional injury or the onset of a chronic condition. , 2007, JAMA.

[22]  I. Kawachi,et al.  Social Determinants of Active Aging: Differences in Mortality and the Loss of Healthy Life between Different Income Levels among Older Japanese in the AGES Cohort Study , 2012, Current gerontology and geriatrics research.

[23]  E. van Doorslaer,et al.  Inequalities in access to medical care by income in developed countries , 2006, Canadian Medical Association Journal.

[24]  A. Hata,et al.  Income Related Inequality of Health Care Access in Japan: A Retrospective Cohort Study , 2016, PloS one.

[25]  P. Arveux,et al.  For patients with breast cancer, geographic and social disparities are independent determinants of access to specialized surgeons. A eleven-year population-based multilevel analysis , 2012, BMC Cancer.

[26]  M. Schootman,et al.  Comparing GIS-Based Measures in Access to Mammography and Their Validity in Predicting Neighborhood Risk of Late-Stage Breast Cancer , 2012, PloS one.

[27]  S. Lee,et al.  The intersection of disability and healthcare disparities: a conceptual framework , 2015, Disability and rehabilitation.

[28]  Chris Brunsdon,et al.  Using genetic algorithms to optimise current and future health planning - the example of ambulance locations , 2010, International journal of health geographics.