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Delivery in a health facility is a key strategy for reducing maternal and neonatal mortality, yet increasing use of facilities has not consistently translated into reduced mortality in low- and mid...

Understanding place-based contributors to health requires geographically and culturally diverse study populations, but sharing location data is a significant challenge to multisite studies. Here, we describe a standardized and reproducible method to perform geospatial analyses for multisite studies. Using census tract-level information, we created software for geocoding and geospatial data linkage that was distributed to a consortium of birth cohorts located throughout the USA. Individual sites performed geospatial linkages and returned tract-level information for 8810 children to a central site for analyses. Our generalizable approach demonstrates the feasibility of geospatial analyses across study sites to promote collaborative translational research.

In India, assembly constituencies (ACs), represented by elected officials, are the primary geopolitical units for state-level policy development. However, data on social indicators are traditionally reported and analyzed at the district level, and are rarely available for ACs. Here, we combine village-level data from the 2011 Indian Census and AC shapefiles to systematically derive AC-level estimates for the first time. We apply this methodology to describe the distribution of 11 education infrastructures&mdash, ranging from pre-primary school to senior secondary school&mdash, across rural villages in 3773 ACs. We found high variability in access to higher education infrastructures and low variability in access to lower education variables. For 40.3% (25th percentile) to 79.7% (75th percentile) of villages in an AC, the nearest government senior secondary school was &gt, 5 km away, whereas the nearest government primary school was &gt, 5 km away in just 0% (25th percentile) to 1.9% (75th percentile) of villages in an AC. The states of Manipur, Arunachal Pradesh, and Bihar showed the greatest within-state variation in access to education infrastructures. We present a novel analysis of access to education infrastructure to inform AC-level policy, and demonstrate how geospatial and Census data can be leveraged to derive AC-level estimates for any population health and development indicators collected in the Census at the village level.

Background Novel approaches to health care delivery that leverage community resources could improve outcomes for children at high risk for obesity. Community context We describe the process by which we created an online interactive community resources map for use in the Connect for Health randomized controlled trial. The trial was conducted in the 6 pediatric practices that cared for the highest percentage of children with overweight or obesity within a large multi-specialty group practice in eastern Massachusetts. Methods By using semistructured interviews with parents and community partners and geographic information systems (GIS), we created and validated a community resource map for use in a randomized controlled trial for childhood obesity. We conducted semistructured interviews with 11 parents and received stakeholder feedback from 5 community partners, 2 pediatricians, and 3 obesity-built environment experts to identify community resources that could support behavior change. We used GIS databases to identify the location of resources. After the resources were validated, we created an online, interactive searchable map. We evaluated parent resource empowerment at baseline and follow-up, examined if the participant families went to new locations for physical activity and food shopping, and evaluated how satisfied the families were with the information they received. Outcome Parents, community partners, and experts identified several resources to be included in the map, including farmers markets, supermarkets, parks, and fitness centers. Parents expressed the need for affordable activities. Parent resource empowerment increased by 0.25 units (95% confidence interval, 0.21-0.30) over the 1-year intervention period; 76.2% of participants were physically active at new places, 57.1% of participant families shopped at new locations; and 71.8% reported they were very satisfied with the information they received. Interpretation Parents and community partners identified several community resources that could help support behavior change. Parent resource empowerment and use of community resources increased over the intervention period, suggesting that community resource mapping should inform future interventions.

Background An inverse relationship between healthcare utilization and distance to care has been previously described. The purpose of this study was to evaluate this effect related to emergency and essential surgical care in central Haiti. Methods We conducted a retrospective review of operative logbooks from the Clinique Bon Sauveur in Cange, Haiti, from 2008 to 2010. We used Geographic Information Systems to map the home locations of all patients. Spearman's correlation was used to determine the relationship between surgical utilization and distance, and a multivariate linear regression model identified characteristics associated with differences in distances traveled to care. Results The highest annual surgical utilization rate was 184 operations/100 000 inhabitants. We found a significant inverse correlation between surgical utilization rate and distance from residence to hospital (r(s) = -0.68, p = 0.02). The median distance from residence to hospital was 55.9 km. Pediatric patients lived 10.1% closer to the hospital than adults (p

Patients undergoing allogeneic hematopoietic stem cell transplantation (HSCT) need access to specialized care. We hypothesized that access to the transplant center after HSCT may be challenging for patients living in geographically distant areas, and that this would have an adverse effect on their outcome. We analyzed 1912 adult patients who underwent allogeneic HSCT at the Dana-Farber/Brigham and Women's Cancer Center (DF/BWCC) between 1996 and 2009 and who resided within 6 hours driving time of the institution. Driving time from primary residence to DF/BWCC based on zipcode was determined using geographic information systems. The median driving time (range) to DF/BWCC was 72 (2-358) minutes. When patients were stratified by driving time quartile, overall survival (OS) after HSCT was similar in the first year but worse after 1 year in patients in the top quartile (≥ 160 minutes driving time). In a landmark analysis of the 909 patients alive and free of disease at 1 year, 5-year OS was 76% and 65% for patients in the first (≤ 40 minutes) and fourth (≥ 160 minutes) quartiles, respectively (P = .027). This was confirmed in a multivariable analysis. The difference appeared to be mostly because of an increase in nonrelapse mortality. The number of visits to the transplant center between day 100 and 365 after HSCT declined significantly with increasing driving time to the transplant center, which was independently associated with worse survival. Long driving time to the transplant center is associated with worse OS in patients alive and disease-free 1 year after HSCT, independently of other patient-, disease-, and HSCT-related variables. This may be in part related to the lower frequency of post-HSCT visits in patients living farther away.

Background: Physical activity is a health-enhancing behavior, but few adolescents achieve the recommended levels of moderate-to-vigorous physical activity. Understanding how adolescents use different built environment spaces for physical activity and activity varies by location could help in designing effective interventions to promote moderate-to-vigorous physical activity. The objective of this study was to describe the locations where adolescents engage in physical activity and compare traditional intensity-based measures with continuous activity when describing built environment use patterns among adolescents. Methods: Eighty adolescents aged 11–14 years recruited from community health and recreation centers. Adolescents wore accelerometers (Actigraph GT3X) and global positioning system receivers (QStarz BT-Q1000XT) for two separate weeks to record their physical activity levels and locations. Accelerometer data provided a continuous measure of physical activity and intensity-based measures (sedentary time, moderate-to-vigorous physical activity). Physical activity was mapped by land-use classification (home, school, park, playground, streets & sidewalks, other) using geographic information systems and this location-based activity was assessed for both continuous and intensity-based physical activity derived from mixed-effects models which accounted for repeated measures and clustering effects within person, date, school, and town. Results: Mean daily moderate-to-vigorous physical activity was 22 minutes, mean sedentary time was 134 minutes. Moderate-to-vigorous physical activity occurred in bouts lasting up to 15 minutes. Compared to being at home, being at school, on the streets and sidewalks, in parks, and playgrounds were all associated with greater odds of being in moderate-to-vigorous physical activity and achieving higher overall activity levels. Playground use was associated with the highest physical activity level (β= 172 activity counts per minute, SE = 4, p < 0.0001) and greatest odds of being in moderate-to-vigorous physical activity (odds ratio 8.3, 95% confidence interval 4.8-14.2). Conclusion: Adolescents were more likely to engage in physical activity, and achieved their highest physical activity levels, when using built environments located outdoors. Novel objective methods for determining physical activity can provide insight into adolescents’ spatial physical activity patterns, which could help guide physical activity interventions. Promoting zoning and health policies that encourage the design and regular use of outdoor spaces may offer another promising opportunity for increasing adolescent physical activity.

An inverse relationship between healthcare utilization and distance to care has been previously described. The purpose of this study was to evaluate this effect related to emergency and essential surgical care in central Haiti.We conducted a retrospective review of operative logbooks from the Clinique Bon Sauveur in Cange, Haiti, from 2008 to 2010. We used Geographic Information Systems to map the home locations of all patients. Spearman's correlation was used to determine the relationship between surgical utilization and distance, and a multivariate linear regression model identified characteristics associated with differences in distances traveled to care.The highest annual surgical utilization rate was 184 operations/100,000 inhabitants. We found a significant inverse correlation between surgical utilization rate and distance from residence to hospital (rs = -0.68, p = 0.02). The median distance from residence to hospital was 55.9 km. Pediatric patients lived 10.1% closer to the hospital than adults (p0.01), and distance from residence to hospital was not significantly different between men and women (p = 0.25). Patients who received obstetric or gynecologic surgery originated 7.8% closer to the hospital than patients seeking other operations (p0.01), and patients who received emergent surgical care originated 24.8% closer to the hospital than patients who received elective surgery (p0.01).Utilization of surgical services was low and inversely related to distance from residence to hospital in rural areas of central Haiti. Children and patients receiving obstetric, gynecologic or emergent surgery lived significantly closer to the hospital, and these groups may need special attention to ensure adequate access to surgical care.

This paper will detail how the Center for Geographic Analysis, Harvard Map Collection, and Harvard Geospatial Library work together to enable medical and public health research across Harvard University. It will discuss geographic concepts that apply to medicine and public health, pertinent data available in geographic format, and analytical techniques. The workflow methodology the CGA has developed for conducting medical research with geographic data will be presented, highlighting successful practices to follow and pitfalls to avoid. Applications of this workflow will be illustrated through the documentation of specific projects in medical and public health research at the University.

Active commuting to school increases children's daily physical activity. The built environment is associated with children's physical activity levels in cross-sectional studies. This study examined the role of the built environment on the outcomes of a "walking school bus" study. Geographical information systems was used to map out and compare the built environments around schools participating in a pilot walking school bus randomised controlled trial, as well as along school routes. Multi-level modelling was used to determine the built environment attributes associated with the outcomes of active commuting to school and accelerometer-determined moderate-to-vigorous physical activity (MPVA). There were no differences in the surrounding built environments of control (n = 4) and intervention (n = 4) schools participating in the walking school bus study. Among school walking routes, park space was inversely associated with active commuting to school (β = -0.008, SE = 0.004, P = 0.03), while mixed-land use was positively associated with daily MPVA (β = 60.0, SE = 24.3, P = 0.02). There was effect modification such that high traffic volume and high street connectivity were associated with greater moderate-to-vigorous physical activity. The results of this study suggest that the built environment may play a role in active school commuting outcomes and daily physical activity. Language: en

National trends indicate that children and adolescents are not achieving sufficient levels of physical activity. Combining global positioning system (GPS) technology with accelerometers has the potential to provide an objective determination in locations where youth engage in physical activity. The aim of this study was to identify the optimal methods for collecting combined accelerometer and GPS data in youth, to best locate where children spend time and are physically active. A convenience sample of 24 mid-school children in Massachusetts was included. Accelerometers and GPS units were used to quantify and locate childhood physical activity over 5 weekdays and 2 weekend days. Accelerometer and GPS data were joined by time and mapped with a geographical information system (GIS) using ArcGIS software. Data were collected in winter, spring, summer in 2009-2010, collecting a total of 26,406 matched datapoints overall. Matched data yield was low (19.1% total), regardless of season (winter, 12.8%; spring, 30.1%; summer, 14.3%). Teacher-provided, pre-charged equipment yielded the most matched (30.1%; range: 10.1-52.3%) and greatest average days (6.1 days) of data. Across all seasons, children spent most of their time at home. Outdoor use patterns appeared to vary by season, with street use increasing in spring, and park and playground use increasing in summer. Children spent equal amounts of physical activity time at home and walking in the streets. Overall, the various methods for combining GPS and accelerometer data provided similarly low amounts of combined data. No combined GPS and accelerometer data collection method proved superior in every data return category, but use of GIS to map joined accelerometer and GPS data can demarcate childhood physical activity locations.