Accessibility to health care facilities in Montreal Island: an application of relative accessibility indicators from the perspective of senior and non-senior residents

BackgroundGeographical access to health care facilities is known to influence health services usage. As societies age, accessibility to health care becomes an increasingly acute public health concern. It is known that seniors tend to have lower mobility levels, and it is possible that this may negatively affect their ability to reach facilities and services. Therefore, it becomes important to examine the mobility situation of seniors vis-a-vis the spatial distribution of health care facilities, to identify areas where accessibility is low and interventions may be required.MethodsAccessibility is implemented using a cumulative opportunities measure. Instead of assuming a fixed bandwidth (i.e. a distance threshold) for measuring accessibility, in this paper the bandwidth is defined using model-based estimates of average trip length. Average trip length is an all-purpose indicator of individual mobility and geographical reach. Adoption of a spatial modelling approach allows us to tailor these estimates of travel behaviour to specific locations and person profiles. Replacing a fixed bandwidth with these estimates permits us to calculate customized location- and person-based accessibility measures that allow inter-personal as well as geographical comparisons.DataThe case study is Montreal Island. Geo-coded travel behaviour data, specifically average trip length, and relevant traveller's attributes are obtained from the Montreal Household Travel Survey. These data are complemented with information from the Census. Health care facilities, also geo-coded, are extracted from a comprehensive business point database. Health care facilities are selected based on Standard Industrial Classification codes 8011-21 (Medical Doctors and Dentists).ResultsModel-based estimates of average trip length show that travel behaviour varies widely across space. With the exception of seniors in the downtown area, older residents of Montreal Island tend to be significantly less mobile than people of other age cohorts. The combination of average trip length estimates with the spatial distribution of health care facilities indicates that despite being more mobile, suburban residents tend to have lower levels of accessibility compared to central city residents. The effect is more marked for seniors. Furthermore, the results indicate that accessibility calculated using a fixed bandwidth would produce patterns of exposure to health care facilities that would be difficult to achieve for suburban seniors given actual mobility patterns.ConclusionsThe analysis shows large disparities in accessibility between seniors and non-seniors, between urban and suburban seniors, and between vehicle owning and non-owning seniors. This research was concerned with potential accessibility levels. Follow up research could consider the results reported here to select case studies of actual access and usage of health care facilities, and related health outcomes.

[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]  Nicolas Ray,et al.  International Journal of Health Geographics Open Access Accessmod 3.0: Computing Geographic Coverage and Accessibility to Health Care Services Using Anisotropic Movement of Patients , 2022 .

[3]  D. Peters,et al.  Poverty and Access to Health Care in Developing Countries , 2008, Annals of the New York Academy of Sciences.

[4]  Andrew A. Lovett,et al.  Potential Accessibility, Travel Time, and Consumer Choice: Geographical Variations in General Medical Practice Registrations in Eastern England , 2003 .

[5]  J. Hsia,et al.  Is insurance a more important determinant of healthcare access than perceived health? Evidence from the Women's Health Initiative. , 2000, Journal of women's health & gender-based medicine.

[6]  Workplace Bulletin,et al.  Human Resources and Social Development Canada , 2007 .

[7]  Stephen Peckham,et al.  Access, Choice and Travel: Implications for Health Policy , 2006 .

[8]  Antonio Páez,et al.  Determinants of distance traveled with a focus on the elderly: a multilevel analysis in the Hamilton CMA, Canada , 2009 .

[9]  S. Tomar,et al.  Surveillance for use of preventive health-care services by older adults, 1995-1997. , 1999, MMWR. CDC surveillance summaries : Morbidity and mortality weekly report. CDC surveillance summaries.

[10]  Tim Schwanen,et al.  The mobility of older people - an introduction , 2010 .

[11]  Emilio Casetti,et al.  Generating Models by the Expansion Method: Applications to Geographical Research* , 2010 .

[12]  B Rittner,et al.  Health care and public transportation use by poor and frail elderly people. , 1995, Social work.

[13]  J. Davey,et al.  Older people and transport: coping without a car , 2006, Ageing and Society.

[14]  Fahui Wang,et al.  Assessing spatial and nonspatial factors for healthcare access: towards an integrated approach to defining health professional shortage areas. , 2005, Health & place.

[15]  Catherine Morency,et al.  Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach , 2010 .

[16]  C. Morency,et al.  Age and Its Relation with Home Location, Household Structure, and Travel Behavior: 15 Years of Observation , 2008 .

[17]  H. Litwin,et al.  Social network type and social support among the old-old , 2000 .

[18]  Xin Wang,et al.  Optimization of preventive health care facility locations , 2010, International journal of health geographics.

[19]  F. Porell,et al.  Access to care and functional status change among aged Medicare beneficiaries. , 2001, The journals of gerontology. Series B, Psychological sciences and social sciences.

[20]  Catherine Morency,et al.  Distance traveled in three Canadian cities: Spatial analysis from the perspective of vulnerable population segments , 2011 .

[21]  Fahui Wang,et al.  Late-Stage Breast Cancer Diagnosis and Health Care Access in Illinois , 2008, The Professional geographer : the journal of the Association of American Geographers.

[22]  Richard Shearmur,et al.  Comparing alternative approaches to measuring the geographical accessibility of urban health services: Distance types and aggregation-error issues , 2008, International journal of health geographics.

[23]  E. Brandt,et al.  The Temporarily and Chronically Uninsured: Does Their Use of Primary Care Differ? , 2002, Journal of health care for the poor and underserved.

[24]  K. Axhausen,et al.  Activity spaces: Measures of social exclusion? , 2003 .

[25]  Morton E. O'Kelly,et al.  Aggregate accessibility to population at the county level: U.S. 1940–2000 , 2003, J. Geogr. Syst..

[26]  Fahui Wang,et al.  Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region , 2003, Environment and planning. B, Planning & design.

[27]  A. Zaslavsky,et al.  Racial disparities in the quality of care for enrollees in medicare managed care. , 2002, JAMA.

[28]  Bert van Wee,et al.  Accessibility evaluation of land-use and transport strategies: review and research directions , 2004 .

[29]  T. Stukel,et al.  Primary care service areas: a new tool for the evaluation of primary care services. , 2003, Health services research.

[30]  M. Gornick,et al.  The Association of Race/Socioeconomic Status and Use of Medicare Services: A Little‐Known Failure in Access to Care , 1999, Annals of the New York Academy of Sciences.

[31]  M. Reed,et al.  Triple jeopardy: low income, chronically ill and uninsured in America. , 2002, Issue brief.

[32]  M. Guagliardo,et al.  Physician accessibility: an urban case study of pediatric providers. , 2004, Health & place.

[33]  N. Powe,et al.  Barriers to health care access among the elderly and who perceives them. , 2004, American journal of public health.

[34]  A. Stewart Fotheringham,et al.  Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity , 2010 .

[35]  K. Atchison,et al.  Access to dental care among older adults in the United States. , 2005, Journal of dental education.

[36]  J. Escarce,et al.  Racial differences in the elderly's use of medical procedures and diagnostic tests. , 1993, American journal of public health.

[37]  Darren M. Scott,et al.  Elderly Mobility: Demographic and Spatial Analysis of Trip Making in the Hamilton CMA, Canada , 2007 .

[38]  D. Ragland,et al.  Consequences of Driving Reduction or Cessation for Older Adults , 2003 .

[39]  P. Ginsburg,et al.  Issue brief (Center for Studying Health System Change) , 2012 .

[40]  BA LisaBostock Pathways of disadvantage? Walking as a mode of transport among low-income mothers , 2008 .

[41]  Nadine Schuurman,et al.  Measuring potential spatial access to primary health care physicians using a modified gravity model , 2010 .

[42]  A. Elixhauser,et al.  Annual report on access to and utilization of health care for children and youth in the United States--2000. , 2001, Ambulatory pediatrics : the official journal of the Ambulatory Pediatric Association.

[43]  A. Páez,et al.  Relative Accessibility Deprivation Indicators for Urban Settings: Definitions and Application to Food Deserts in Montreal , 2010 .

[44]  R. C. Lee,et al.  Current approaches to shortage area designation. , 1991, The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association.

[45]  R. Bashshur,et al.  The Search for Medical Care: An Exploration of Urban Black Behavior , 1978, International journal of health services : planning, administration, evaluation.

[46]  Frans M. Dieleman,et al.  Leisure trips of senior citizens: determinants of modal choice , 2001 .

[47]  C. Phillipson,et al.  Social support in later life: a study of three areas , 2000 .

[48]  P. Cunningham Declining Employer-Sponsored Coverage: The Role of Public Programs and Implications for Access to Care , 2002, Medical care research and review : MCRR.

[49]  Debbie A. Niemeier,et al.  Measuring Accessibility: An Exploration of Issues and Alternatives , 1997 .

[50]  Jan-Dirk Schmöcker,et al.  Active ageing in developing countries? - trip generation and tour complexity of older people in Metro Manila , 2010 .

[51]  J. Paradise,et al.  Health Insurance and Access to Health Care in the United States , 2008, Annals of the New York Academy of Sciences.

[52]  M. Guagliardo,et al.  International Journal of Health Geographics Open Access Spatial Accessibility of Primary Care: Concepts, Methods and Challenges , 2022 .

[53]  F. Merletti,et al.  Accessibility as a major determinant of radiotherapy underutilization: a population based study. , 2007, Health policy.

[54]  Michael G.H. Bell,et al.  Estimating Trip Generation of Elderly and Disabled People: Analysis of London Data , 2005 .

[55]  D. Hensher,et al.  The mobility and accessibility expectations of seniors in an aging population , 2003 .

[56]  S. Chau,et al.  Predictors of health service barriers for older Chinese immigrants in Canada. , 2007, Health & social work.

[57]  L. Bostock,et al.  Pathways of disadvantage? Walking as a mode of transport among low-income mothers. , 2001, Health & social care in the community.

[58]  M. Kwan Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework , 2010 .