Online Program

324200
Geo-spatial, sociodemographic, and community risk factors associated with access to pharmacies, over-the-counter syringe sales, and hotspot infectious disease clusters in Massachusetts


Tuesday, November 3, 2015 : 2:30 p.m. - 2:50 p.m.

Thomas Stopka, PhD, MHS, Department of Public Health & Community Medicine, Tufts University School of Medicine, Boston, MA
Michael Goulart, MPH, Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA
David Meyers, MPH, Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, MA
Marga Hutcheson, MA, Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA
Helen Queenan, BS, Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA
Kenneth Chui, PhD, MS/MPH, Department of Public Health and Community Medicine, Tufts School of Medicine, Boston, MA
background: In Massachusetts, over-the-counter syringe sales and syringe possession legislation was adopted in 2006, requiring that all pharmacies make syringes available for sale without a prescription. While reported hepatitis C virus (HCV) infections are an increasing concern in subpopulations in the Commonwealth, people who inject drugs in many regions still face challenges accessing sterile syringes. We used statistical models, a geographic information system (GIS), and spatial epidemiological methods to identify “regions of risk”, where sterile syringe access was limited, and “regions of disease”, where spatial disease clusters were present, and factors associated with these regions.

methods:We compiled pharmacy, sociodemographic, and disease surveillance data for Massachusetts census tracts (n=1467) from 2002-2013. We conducted logistic regression analyses to determine factors associated with pharmacy access. We used GIS to identify locations throughout the state where geographic access to pharmacies was limited according to calculated five-, ten-, and fifteen-minute walk-time and drive-time buffers. Finally, we conducted spatial Getis Ord Gi* analyses to identify statistically significant hotspot clusters of pharmacies and infectious disease.

results: In bivariate analyses, total population, population density, percent of population that was Hispanic, percent high school graduates, percent living in poverty, median household income, and median age were associated with pharmacy access. In multivariable regressions, adjusted for the aforementioned variables, population density (adjusted odds ratio [AOR]: 1.52; 95% confidence interval [CI]: 1.15, 2.03), median age (AOR: 2.26; 95% CI: 1.05, 4.85), and median household income (AOR: 0.39; 95% CI: 0.26, 0.59) were independently associated with pharmacy access. We identified nine HCV hotspot clusters across Massachusetts, with the largest clusters in Boston, New Bedford/Fall River, Worcester, and Springfield (p<0.05). According to walk-time and drive-time buffer analyses, pharmacy syringe sales coverage surrounding HCV clusters appeared adequate in most parts of the state, but greater access to 24-hour pharmacies and over-the-counter syringe sales may be merited in southeastern and western regions of the Commonwealth.

conclusions: Combined geo-spatial and statistical analyses can help identify regions of risk and regions of disease, and inform public health policy decisions. We identified several locations where infectious disease clusters were a concern, and where enhanced access to pharmacies and sterile syringes could strengthen harm reduction efforts in Massachusetts.

Learning Areas:

Epidemiology
Occupational health and safety
Public health or related public policy

Learning Objectives:
Describe the innovative use of spatial epidemiology and statistical models to identify “regions of risk” and “regions of disease” as they relate to syringe access resources and disease clusters across Massachusetts. Discuss geo-spatial access to pharmacies and over-the-counter syringe sales, hotspot infectious disease clusters (e.g., hepatitis C virus), and factors associated with these outcomes. Compare regions with adequate and inadequate access to non-prescription syringe sales to regions with statistically significant hotspot disease clusters.

Keyword(s): Epidemiology, Geographic Information Systems (GIS)

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have been the principal or co-principal investigator of multiple state, federal, and foundation funded grants focusing on the epidemiology and prevention of infectious diseases. Among my scientific interests has been the development of spatial epidemiological research methods to assess access to public health services, and identify spatial disease clustering patterns. I am also interested in the development of strategies for preventing HIV and HCV in out-of-treatment substance using populations.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.