Analyzing Location-Based Accessibility to Dental Services: An Ohio Case Study

Navigating Disparities in Dental Health-A Transit-Based Investigation of Access to Dental Care in Virginia

OBJECTIVE

To identify vulnerable areas and populations with limited access to dental care in Virginia, the study aimed (1) to calculate travel time and accessibility scores to dental care in Virginia using a transit-based accessibility model for all dental clinics and dental clinics participating in the Medicaid dental program and (2) to estimate factors associated with accessibility to dental clinics participating in the Medicaid dental program in Virginia.

METHODS

The study used building footprints as origins of transit trips to dental care services (or destinations). The study then computed transit-based origin-destination travel time matrices based on the detailed trip information, including in-vehicle and out-of-vehicle travel time. Accessibility scores were calculated by counting the number of dental clinics that can be reached within 60 min. Regression analysis was used to measure factors associated with accessibility scores to dental clinics participating in Medicaid.

RESULTS

Residents in smaller regions spent longer travel time to dental clinics by public transit compared with those who resided in larger regions. Medicaid participants also faced longer travel time compared with the general population. Residents spent more than three-fourths of the time waiting for public transit and walking to clinics regardless of where they live and what type of insurance they have. Associations between sociodemographic factors and accessibility scores to dental clinics participating in the Medicaid dental program varied across regions.

CONCLUSIONS

Disparities in dental care accessibility exist depending on the size of regions and Medicaid participation in Virginia. The disparities in transit-based access to dental clinics and a disproportionate amount of time spent waiting for public transit and walking to dental clinics could be improved through tailored interventions taking into account the sociodemographic and geographic characteristics of each region.

Mapping accessibility to oral health care in coastal India - A geospatial approach using a geographic information system (GIS)

Background: It is imperative to have a thorough assessment of the existing distribution of oral healthcare facilities and understand potential accessibility when planning for expansion of oral health services. In the present study, an attempt to measure geographic accessibility to oral healthcare, by locating the availability of dental practitioners in the coastal districts of Karnataka state, India using a geographical information system (GIS), has been made. Methods: For the study, data on public and private oral health centres were collected for the three coastal districts of Karnataka state, India. Population and income data were collected, along with geographic attributes (latitudes and longitudes) of the practitioners' addresses. Descriptive statistical analyses and dentist-to-population ratios (D:P) were calculated. Correlation between the number of clinics with population and D:P with per capita income were analyzed using Pearson's correlation coefficient. Chi-square test applied to analyze any association between D:P and urbanization. Results: Among 340 clinics, 8.5% are public and 91.5% are private clinics catering to a population of 4,704,179. Average D:P for the three coastal districts is 1:13,836. There is an uneven urban-rural distribution of dentists with lower D:P in rural areas. Rural population in four taluks have only one dentist for over a lakh population. Six taluks have only one dentist for every 50000 - 100000 population in rural areas. Six rural areas had only public centers to cater to their oral health.   Conclusions: From the study, it is concluded that oral health services were concentrated in areas with higher annual income per-capita, increased urbanization and population density.

Special needs hurricane shelters and the ageing population: development of a methodology and a case study application

Recent experience of hurricanes, particularly in the southeast United States, has heightened awareness of the multifaceted nature of and the challenges to effective disaster relief planning. One key element of this planning is providing adequate shelter at secure locations for people who evacuate. Some of these individuals will have 'special needs', yet there is little research on the relationship with shelter space. This study designed a geographic information systems-based network optimisation methodology for the siting of special needs hurricane relief shelters, with a focus on the transportation component. It sought to find new locations for shelters that maximise accessibility by vulnerable populations, given capacity constraints, concentrating on the ageing population. The framework was implemented in a medium-sized metropolitan statistical area in the state of Florida where data suggest a possible deficit in special needs shelter space. The study analysed options for increasing special needs shelter capacity, while considering potential uncertainties in transportation network availability.

Dental workforce availability and dental services utilization in Appalachia: a geospatial analysis

OBJECTIVES

There is considerable variation in dental services utilization across Appalachian counties, and a plausible explanation is that individuals in some geographical areas do not utilize dental care due to dental workforce shortage. We conducted an ecological study on dental workforce availability and dental services utilization in Appalachia.

METHODS

We derived county-level (n = 364) data on demographic and socioeconomic characteristics and dental services utilization in Appalachia from the 2010 Behavioral Risk Factor Surveillance System (BRFSS) using person-level data. We obtained county-level dental workforce availability and physician-to-population ratio estimates from Area Health Resources File and linked them to the county-level BRFSS data. The dependent variable was the proportion using dental services within the last year in each county (ranging from 16.6% to 91.0%). We described the association between dental workforce availability and dental services utilization using ordinary least squares regression and spatial regression techniques. Spatial analyses consisted of bivariate local indicators of spatial association (LISA) and geographically weighted regression (GWR).

RESULTS

Bivariate LISA showed that counties in the central and southern Appalachian regions had significant (P < 0.05) low-low spatial clusters (low dental workforce availability, low percent dental services utilization). GWR revealed considerable local variations in the association between dental utilization and dental workforce availability. In the multivariate GWR models, 8.5% (t-statistics > 1.96) and 13.45% (t-statistics > 1.96) of counties showed positive and statistically significant relationships between the dental services utilization and workforce availability of dentists and dental hygienists, respectively.

CONCLUSIONS

Dental workforce availability was associated with dental services utilization in the Appalachian region; however, this association was not statistically significant in all counties. The findings suggest that program and policy efforts to improve dental services utilization need to focus on factors other than increasing the dental workforce availability for many counties in Appalachia.

North Carolina physician-based preventive oral health services improve access and use among young Medicaid enrollees

To combat disparities in oral health and access to dental care among infants and toddlers, most state Medicaid programs now reimburse physician-based preventive oral health services such as fluoride varnish applications. We used geospatial data to examine the distribution of dental and medical Medicaid providers of pediatric oral health services throughout North Carolina to determine if these services have improved access to care for Medicaid enrollees younger than age three. We then used claims data to examine the association between distance from these practices and use of dental services for a cohort of approximately 1,000 young children. Among one hundred counties, four counties had no physician-based preventive oral health services, and nine counties had no dental practice. While children who lived farther from the nearest dental practice were less likely to make dental visits, distance from physician-based preventive oral health services did not predict utilization. For young Medicaid enrollees, oral health services provided in medical offices can improve access and increase utilization.

APPRAISAL OF ACCESS TO DENTAL SERVICES IN SOUTH EAST OF IRAN USING FIVE AS MODEL

BACKGROUND

Access to dental services not only refers to utilization but also to the extent by which the utilization is judged according to professional norms. This study aimed to study the access to dental services using the Five As model.

METHODS

This cross sectional study was conducted in southeast of Iran. A sample of 400 subjects participated in the study according to a multistage sampling method. A questionnaire was used for data collection. Data were analyzed using independent T test, ANOVA and multivariate linear regression models by means of SPSS V.20 software.

FINDINGS

Affordability, availability, accessibility, accommodation and acceptability mean scores were 58.2±12.2, 53.9±12.9, 59.4±15.7, 60.2±8.6, 70±11.5 and 60.3±7.4 respectively. According to multivariate linear regression models, there was significant associations between affordability and age, education level, having basic insurance and family income. Moreover, total accessibility was significantly correlated with education and monthly family income.

CONCLUSION

This study showed that access to dental services was at the moderate level among the studied population. It also revealed that age, basic insurance coverage, family income and level of education, are determinants of this accessibility.

Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital

PURPOSE

The aim of this study is to analyze and visualize the distribution of patients visiting the periodontology department at a dental college hospital, using a geographic information system (GIS) to utilize these data in patient care and treatment planning, which may help to assess the risk and prevent periodontal diseases.

METHODS

Basic patient information data were obtained from Dankook University Dental Hospital, including the unit number, gender, date of birth, and address, down to the dong (neighborhood) administrative district unit, of 306,656 patients who visited the hospital between 2007 and 2014. The data of only 26,457 patients who visited the periodontology department were included in this analysis. The patient distribution was visualized using GIS. Statistical analyses including multiple regression, logistic regression, and geographically weighted regression were performed using SAS 9.3 and ArcGIS 10.1. Five factors, namely proximity, accessibility, age, gender, and socioeconomic status, were investigated as the explanatory variables of the patient distribution.

RESULTS

The visualized patient data showed a nationwide scale of the patient distribution. The mean distance from each patient's regional center to the hospital was 30.94±29.62 km and was inversely proportional to the number of patients from the respective regions. The distance from a regional center to the adjacent toll gate had various effects depending on the local distance from the hospital. The average age of the patients was 52.41±12.97 years. Further, a majority of regions showed a male dominance. Personal income had inconsistent results between analyses.

CONCLUSIONS

The distribution of patients is significantly affected by the proximity, accessibility, age, gender and socioeconomic status of patients, and the patients visiting the periodontology department travelled farther distances than those visiting the other departments. The underlying reason for this needs to be analyzed further.

A commuter-based two-step floating catchment area method for measuring spatial accessibility of daycare centers

This paper puts forward a commuter-based version of the two-step floating catchment area (2SFCA) method, which has gained acceptance in studies on spatial health care accessibility. Current implementations of the 2SFCA method are static in that they consider centroid-based night-time representations of the population. The proposed enhancement to the 2SFCA approach addresses this limitation by accounting for trip-chaining behavior. The presented method is illustrated in a case study of accessibility of daycare centers in the province East Flanders in Belgium. The results show significant spatial differences in accessibility between the original and commuter-based version of the 2SFCA (CB2SFCA). They highlight the importance of giving heed to more complex travel behavior in cases where the need for detailed accessibility calculations is apparent.

Role of public transport in accessibility to emergency dental care in Melbourne, Australia

The aim of this study was to develop a method for the analysis of the influence of public transport supply in a large city (Melbourne) on the access to emergency dental treatment. Geographic Information Systems (GIS) tools were used to associate the geographical distribution of patients (and their socioeconomic status) with accessibility (through public transport supply, i.e. bus, tram and/or train) to emergency dental care. The methodology used allowed analysis of the socioeconomic status of patient residential areas and both spatial location and supply frequency of public transport by using existing data from patient records, census and transport departments. In metropolitan Melbourne, a total of 13 784 patients met the inclusion criteria for the study sample, of which 95% (n = 13 077) were living within a 50 km radius of the Royal Dental Hospital of Melbourne. Low socioeconomic areas had a higher demand for dental emergency care in the Royal Dental Hospital of Melbourne. Public transport supply was similar across the various socioeconomic strata in the population, with 80% of patients having good access to public transport. However, when considering only high-frequency bus stops, the percentage of patients living within 400 m from a bus stop dropped to 65%. Despite this, the number of patients (adjusted to the population) coming from areas not supplied by public transport, and from areas with good or poor public transport supply, was similar. The methodology applied in the present study highlights the importance of evaluating not only the spatial distribution but also the frequency of public transport supply when studying access to services. This methodology can be extrapolated to other settings to identity transport/access patterns for a variety of services.

The association between geographical factors and dental caries in a rural area in Mexico

The aim of this study was to investigate the association between markers of oral disease and geographical factors influencing access to dental care (DMFT score) among school children in Central Mexico. Retrospective data were collected during an international service-learning program between 2002 and 2009. A sample of 1,143 children (55% females; mean age 12.7±13.1years) was analyzed. The mean DMFT score, represented largely by untreated tooth decay, was 4.02 (4.76). The variables that had the most significant effect on the DMFT score were proportion of paved roads between the community and dental services, and the availability of piped potable water. The DMFT score increased in proportion to the percentage of paved roads. In contrast, the DMFT score decreased with the availability of piped potable water. Similar results were found for untreated tooth decay. The main variable associated with a significant increase in dental fillings was proportion of paved roads. Together with Brazilian reports, this is one of the first investigations of the association between geographical factors and oral health in an underdeveloped setting.

A novel technique to optimize facility locations of new nephrology services for remote areas

BACKGROUND AND OBJECTIVES

Travel distance to healthcare facilities affects healthcare access and utilization. Using the example of patients with kidney disease and nephrology services, we investigated the feasibility and utility of using geographic information system (GIS) techniques to identify the ideal location for new clinics to improve care for patients with kidney disease, on the basis of systematically minimizing travel time for remote dwellers.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

Using a provincial laboratory database to identify patients with kidney disease and where they lived, we used GIS techniques of buffer and network analysis to determine ideal locations for up to four new nephrology clinics. Service-area polygons for different travel-time intervals were generated and used to determine the best locations for the four new facilities that would minimize the number of patients with kidney disease who were traveling >2 hours.

RESULTS

We studied 31,452 adults with living in Alberta, Canada. Adding the four new facilities would increase the number of patients living <30 minutes from a clinic by 2.2% and reduce the number living >120 minutes away by 72.5%. Different two- and three-clinic scenarios reduced the number of people living >120 minutes away by as much as 65% or as little as 32%, emphasizing the importance of systematic evaluation.

CONCLUSIONS

GIS techniques are an attractive alternative to the current practice of arbitrarily locating new facilities on the basis of perceptions about patient demand. Optimal location of new clinical services to minimize travel time might facilitate better patient care.