Zones of prevention: the geography of fall injuries in the elderly

Navigating Aged Care Services with GIS: Trends, Developments, and Future Directions

BACKGROUND

With the growing challenge of an aging population, emerging technologies are increasingly being integrated into the production, organization, and delivery of aged care services. Geographic Information System (GIS), a computer-based tool for spatial information analysis and processing, has made significant strides in the allocation of care recources and service delivery for older adults, a notably vulnerable group. Despite its growing importance, cross-disciplinary literature reviews on this theme are scare. This scoping review was conducted to encapsulate the advancements and discern the future trajectory of GIS applications in aged care services.

METHODS

A comprehensive search across nine databases yielded 5941 articles. Adhering to specific inclusion and exclusion criteria, 61 articles were selected for a detailed analysis.

RESULTS

The 61 articles span from 2003 to 2022, with a notable increase in publications since 2018, comprising 41 articles (67% of the total) published between 2018-2022. Developed countries contributed 66% of the papers, with 45% focusing on accessibility issues. In the domain of aged care services, GIS has been predominantly utilized for model construction, mapping, and site selection, with a growing emphasis on addressing the unique needs of different subgroups of older adults.

CONCLUSION

The past two decades have seen substantial growth in the application of GIS in aged care services, reflecting its increasing importance in this field. This scoping review not only charts the historical development of GIS applications in aged care services but also underscores the need for innovative research approaches. Future directions should emphasize the integration of GIS with diverse methodologies to address the heterogeneous needs of older adults and improve the overall delivery of aged care services. Such advancements in GIS applications have the potential to significantly enhance the efficiency, accessibility, and quality of care for the aging population.

"We Just Don't Know Where They Are": The Geographical Distribution of Exercise Classes for Older People, Including Those Living with Dementia in the East Midlands

Older people living with dementia are advised to exercise to remain independent. Although several exercise classes for older people take place across the UK, there is limited information about the geographical distribution of these classes. This study identified the location and explored the population characteristics of the classes in a UK region, to aid improved access to exercise. Using a geographical information system, data were collected on population characteristics, including size and age, socio-economic status, and rurality of the exercise classes in one area of the UK (East Midlands, population 5 million). The relationship between data sets was explored and a visual representation of these patterns was provided. A systematic internet search identified 520 exercise classes, evenly spread across the region and areas of socio-economic deprivation: 471 (90%) were in urban areas; 428 (80%) were in areas where less than 20% of the population was over 65 years of age; and 13 (2%) stated that they were suitable for people with dementia. People living with dementia are less likely than older people without dementia to have access to exercise classes.

A socio-spatial analysis of pedestrian falls in Aotearoa New Zealand

Falls are a leading cause of injury and accidental death, particularly amongst older people. Evidence of environmental risk factors for pedestrian falls among older adults could support age-friendly urban design and contribute to efforts to reduce the incidence of pedestrian falls and support outdoor mobility among older adults. Yet investigation of the environment in which pedestrian falls occur is often hampered by its reliance on participant recall and self-report information. We identified the point locations of falls occurring on the road or street among adults that were attended by an ambulance in New Zealand over a two-year period (2016-2018) and connected these to a range of social (e.g. deprivation) and environmental (e.g. slope, greenspace) risk factors. Three types of analysis were used: a descriptive analysis of fall rates, logistic regression assessing whether a patient was transported to hospital following a fall, and a negative binomial regression analysis of the pedestrian falls by small area. We found a number of differences in the built environment surrounding fall locations between age groups. Compared with younger age groups, older adults showed high fall rates closer to home, and higher fall rates in areas with many types of destinations nearby. Additionally, our results showed a higher rate of pedestrian falls in more deprived areas. People who live in more deprived areas also fell over more frequently, but the pattern is stronger based on deprivation at the fall location, rather than home location. Residents of more deprived areas were less likely to be transported to hospital following a fall. Thus, our findings have equity implications for both environments and patient experience. These patterns could not have been identified without the novel use of spatially specific fall data.

WITHDRAWN: The epidemiology of emergency presentations for falls across Western Victoria, Australia

The Publisher regrets that this article is an accidental duplication of an article that has already been published, https://doi.org/10.1016/j.auec.2019.08.003. The duplicate article has therefore been withdrawn. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.

A public-private collaborative model for a trauma program implementation: findings from a prospective trauma registry at 14 hospitals in Buenos Aires, Argentina

INTRODUCTION

Trauma is a leading cause of mortality and comprises an important cause of functional impairment among young people worldwide. The trauma registry (TR) is an integral component of modern comprehensive trauma care systems. Nevertheless, TRs have not been yet established in most developing countries. The objective of this study was to summarize the challenges, results, and lessons learned from a trauma program including initial results from a TR at tertiary-care public hospitals of Buenos Aires, Argentina.

MATERIAL AND METHODS

This is a descriptive study of the implementation of a trauma program in 14 hospitals and analysis of the initial results in the period between January 2010 and December 2018, using data from Fundación Trauma TR. Patients fitting injury definition that remained in hospital for more than 23 h were included. Injured patients were divided by age groups. Data on patients' demographics, mechanism of injury and severity, complications, treatments, and in-hospital mortality were analyzed between groups. A descriptive analysis is presented.

RESULTS

There were 29,970 trauma cases during the study period. Median age was 23 years (RIC 12, 39) with a 2.4:1 male-to-female ratio. Road traffic injuries (RTI) were the leading mechanism (30.8%) of admission and head was the most frequently injured body region (33.2%). Two-thirds of RTIs were motorcycle-related. Overall in-hospital mortality was 6.1%. Intentional self-harm in adult males and burns in adult females had the highest mortality rates (17.6% and 17.9%, respectively).

CONCLUSIONS AND DISCUSSION

The implementation of a trauma program within a public-private collaborative program in a resource-limited environment is feasible. The hospital-based TR can be used as a tool for injury surveillance, monitoring of the quality of trauma care, development of a trauma system, and to guide public health policies.

The epidemiology of emergency presentations for falls across Western Victoria, Australia

BACKGROUND

In order to develop and implement prevention strategies for falls, comprehensive epidemiological data are required. Therefore, this study mapped emergency presentations for falls across the western region of Victoria, Australia, encompassing urban, regional and rural areas.

METHODS

This cross-sectional study utilised electronic data for emergency presentations following a fall from <1m for individuals aged ≥40yr during 2014-2016 inclusive. Age-standardised incidence rates (per 1000 population/year) were calculated for each Local Government Area (LGA).

RESULTS

Age-standardised falls incidence varied across the LGAs, with the lowest occurring in the Rural City of Ararat LGA (4.4; 95%CI:3.5-5.4) and the highest for the City of Warrnambool (25.1; 95%CI:23.7-26.6), Colac-Otway (24.7; 95%CI:23.0-26.4) and Moyne (23.0; 95%CI:21.2-24.8). Patterns were similar for men and women when stratified by sex across these LGAs. For men and women combined, most patients arrived at the hospital using private transportation (55.3%) or road ambulance service (43.1%). Most falls occurred during leisure activities (48.0%) in a home setting (54.8%).

CONCLUSIONS

Higher rates of falls presentations were observed in southern LGAs and most commonly occurred at home, during leisure activity. Future research should identify specific intervention strategies to reduce falls in the region, based on the data reported from this study.

Delivery of Fall Prevention Interventions for At-Risk Older Adults in Rural Areas: Findings from a National Dissemination

Falls incidence rates and associated injuries are projected to increase among rural-dwelling older adults, which highlights the need for effective interventions to prevent falls and manage fall-related risks. The purpose of this descriptive study was to identify the geospatial dissemination of eight evidence-based fall prevention programs (e.g., A Matter of Balance, Stepping On, Tai Chi, Otago Exercise Program) across the United States (U.S.) in terms of participants enrolled, workshops delivered, and geospatial reach. These dissemination characteristics were compared across three rurality designations (i.e., metro areas; non-metro areas adjacent to metro areas; and, non-metro areas not adjacent to metro areas). Data were analyzed from a national repository of 39 Administration for Community Living (ACL) grantees from 2014–2017 (spanning 22 states). Descriptive statistics were used to assess program reach, delivery-site type, and completion rate by rurality. Geographic information systems (GIS) geospatially represented the collective reach of the eight interventions. Of the 45,812 participants who attended a fall prevention program, 12.7% attended workshops in non-metro adjacent areas and 6.6% attended workshops in non-metro non-adjacent areas. Of the 3755 workshops delivered (in over 550 unique counties), most were delivered in senior centers (26%), residential facilities (20%), healthcare organizations (13%), and faith-based organizations (9%). On average, the workshop attendance/retention rates were consistent across rurality (~70%). Findings highlight the need to diversify the delivery infrastructure for fall prevention programs to adequately serve older adults in rural areas. Ongoing efforts are needed to offer sustainable technical assistance and to develop scalable clinical-community referral systems to increase fall prevention program participation among rural-dwelling older adults.

Geographic clustering of emergency department presentations for acute coronary syndromes and heart failure in Alberta: a population-based study

BACKGROUND

Collectively, the most common acute cardiac presentations to emergency departments are acute coronary syndromes (ACSs) and heart failure. We examined geographic variation and clustering in emergency department presentations by adults for ACS or heart failure in Alberta in 2010/11.

METHODS

All emergency department presentations for ACS or heart failure made by Alberta residents aged 35 years or more during 2010/11 were extracted from 5 linked population-based Alberta administrative health databases. Data extracted included demographic characteristics, hospital admissions and physician claims. Spatial scan tests and logistic regression analyses were performed.

RESULTS

There were 6342 patients with ACS (mean age 65.9 yr, 63.1% male) and 4780 patients with heart failure (mean age 76.6 yr, 49.9% male). For both ACS and heart failure, a primary cluster and 2 secondary clusters were identified. Different clusters were identified for the 2 conditions. For both conditions, patients living in the clusters had more primary care physician claims, prior emergency department visits and prior hospital admissions than did patients living outside the clusters. However, they were less likely to have had a specialist claim in the prior 2 years (odds ratio 0.64 [95% confidence interval 0.56-0.73] for ACS and 0.51 [95% confidence interval 0.43-0.61] for heart failure).

INTERPRETATION

Geographic areas were identified with higher numbers than expected of patients presenting to the emergency department for ACS or heart failure. Lower specialist access in these areas was associated with increased emergency department use.

An overview of geospatial methods used in unintentional injury epidemiology

Background

Injuries are a leading cause of death and disability around the world. Injury incidence is often associated with socio-economic and physical environmental factors. The application of geospatial methods has been recognised as important to gain greater understanding of the complex nature of injury and the associated diverse range of geographically-diverse risk factors. Therefore, the aim of this paper is to provide an overview of geospatial methods applied in unintentional injury epidemiological studies.

Methods

Nine electronic databases were searched for papers published in 2000–2015, inclusive. Included were papers reporting unintentional injuries using geospatial methods for one or more categories of spatial epidemiological methods (mapping; clustering/cluster detection; and ecological analysis). Results describe the included injury cause categories, types of data and details relating to the applied geospatial methods.

Results

From over 6,000 articles, 67 studies met all inclusion criteria. The major categories of injury data reported with geospatial methods were road traffic (n = 36), falls (n = 11), burns (n = 9), drowning (n = 4), and others (n = 7). Grouped by categories, mapping was the most frequently used method, with 62 (93%) studies applying this approach independently or in conjunction with other geospatial methods. Clustering/cluster detection methods were less common, applied in 27 (40%) studies. Three studies (4%) applied spatial regression methods (one study using a conditional autoregressive model and two studies using geographically weighted regression) to examine the relationship between injury incidence (drowning, road deaths) with aggregated data in relation to explanatory factors (socio-economic and environmental).

Conclusion

The number of studies using geospatial methods to investigate unintentional injuries has increased over recent years. While the majority of studies have focused on road traffic injuries, other injury cause categories, particularly falls and burns, have also demonstrated the application of these methods. Geospatial investigations of injury have largely been limited to mapping of data to visualise spatial structures. Use of more sophisticated approaches will help to understand a broader range of spatial risk factors, which remain under-explored when using traditional epidemiological approaches.

Electronic supplementary material

The online version of this article (doi:10.1186/s40621-016-0097-0) contains supplementary material, which is available to authorized users.

Close to home: an analysis of the relationship between location of residence and location of injury

BACKGROUND

Injury surveillance is critical in identifying the need for targeted prevention initiatives. Understanding the geographic distribution of injuries facilitates matching prevention programs with the population most likely to benefit. At the population level, however, the geographic site of injury is rarely known, leading to the use of location of residence as a surrogate. To determine the accuracy of this approach, we evaluated the relationship between the site of injury and of residence over a large geographic area.

METHODS

Data were derived from a population-based, prehospital registry of persons meeting triage criteria for major trauma. Patients dying at the scene or transported to the hospital were included. Distance between locations of residence and of injury was calculated using geographic information system network analysis.

RESULTS

Among 3,280 patients (2005-2010), 88% were injured within 10 miles of home (median, 0.2 miles). There were significant differences in distance between residence and location of injury based on mechanism of injury, age, and hospital disposition. The large majority of injuries involving children, the elderly, pedestrians, cyclists, falls, and assaults occurred less than 10 miles from the patient's residence. Only 77% of motor vehicle collision occurred within 10 miles of the patient's residence.

CONCLUSION

Although the majority of patients are injured less than 10 miles from their residence, the probability of injury occurring "close to home" depends on patient and injury characteristics.

LEVEL OF EVIDENCE

Epidemiologic study, level III.

Elderly patients attended in emergency health services in Brazil: a study for victims of falls and traffic accidents

The article aims to describe the profile of elderly victims of falls and traffic accidents from the data of the Surveillance Survey of Violence and Accidents (VIVA). The VIVA Survey was conducted in the emergency health-services of the Unified Health System in the capitals of Brazil in 2011. The sample of elderly by type of accident was subjected to the two-step cluster procedure. Of the 2463 elderly persons in question, 79.8% suffered falls and 20.2% were the victims of traffic accidents. The 1812 elderly who fell were grouped together into 4 clusters: Cluster 1, in which all had disabilities; Cluster 2, all were non-white and falls took place in the home; Cluster 3, younger and active seniors; and Cluster 4, with a higher proportion of seniors 80 years old or above who were white. Among cases of traffic accidents, 446 seniors were grouped into two clusters: Cluster 1 of younger elderly, drivers or passengers; Cluster 2, with higher age seniors, mostly pedestrians. The main victims of falls were women with low schooling and unemployed; traffic accident victims were mostly younger and male. Complications were similar in victims of falls and traffic accidents. Clusters allow adoption of targeted measures of care, prevention and health promotion.

Association of polypharmacy with fall-related fractures in older Taiwanese people: age- and gender-specific analyses

OBJECTIVE

To elucidate the associations between polypharmacy and age- and gender-specific risks of admission for fall-related fractures.

DESIGN

Nested case-control study.

SETTING

This analysis was randomly selected from all elderly beneficiaries in 2007-2008, and represents some 30% of the whole older insurers using Taiwan's National Health Insurance Research Database.

PARTICIPANTS

We identified 5933 cases newly admitted for fall-related fractures during 2007-2008, and 29 665 random controls free from fracture.

PRIMARY AND SECONDARY OUTCOME MEASURES

Polypharmacy was defined as the use of fall-related drugs of four or more categories of medications and prescribed related to fall within a 1-year period. Logistic regression models were employed to estimate the ORs and related 95% CIs. The interaction of polypharmacy with age and sex was assessed separately.

RESULTS

Compared with those who consumed no category of medication, older people who consumed 1, 2, 3 and ≥4 categories of medications were all at significantly increased odds of developing fall-related fractures, with a significant dose-gradient pattern (β=0.7953; p for trend <0.0001). There were significant interactions between polypharmacy and age, but no significant interactions between polypharmacy and gender. The dose-gradient relationship between number of medications category and risk of fall-related fractures was more obvious in women than in men (β=0.1962 vs β=0.1873). Additionally, it was most evident in older people aged 75-84 years (β=0.2338).

CONCLUSIONS

This population-based study in Taiwan confirms the link between polypharmacy and increased risk of fall-related fractures in older people; and highlights that elderly women and older people aged 75-84 years will be the targeted participants for further prevention from fall-related fractures caused by polypharmacy.

Re-spacing and re-placing gerontology: relationality and affect

This paper describes how space and place have been understood in gerontology as phenomenon that are both physical and social in character, yet are relatively bounded and static. The argument is posed as to how, following recent developments in human geography, a relational approach might be adopted. Involving a twist in current thinking, this would instead understand space and place each as highly permeable, fluid and networked at multiple scales. Moreover, it is proposed that the concept of ‘affect’ might also be insightful, recognising space and place as being relationally configured and performed, possessing a somatically registered energy, intensity and momentum that precedes deep cognition. Three vignettes illustrate the relationalities and affects in the lives and circumstances of older people, and how focusing more explicitly on them would allow for a richer understanding of where and how they live their lives. The paper closes with some thoughts on future theoretical, methodological and disciplinary considerations.

Using geographical information systems mapping to identify areas presenting high risk for traumatic brain injury

BACKGROUND

The aim of this study is to show how geographical information systems (GIS) can be used to track and compare hospitalization rates for traumatic brain injury (TBI) over time and across a large geographical area using population based data.

RESULTS & DISCUSSION

Data on TBI hospitalizations, and geographic and demographic variables, came from the Ontario Trauma Registry Minimum Data Set for the fiscal years 1993-1994 and 2001-2002. Various visualization techniques, exploratory data analysis and spatial analysis were employed to map and analyze these data. Both the raw and standardized rates by age/gender of the geographical unit were studied. Data analyses revealed persistent high rates of hospitalization for TBI resulting from any injury mechanism between two time periods in specific geographic locations.

CONCLUSIONS

This study shows how geographic information systems can be successfully used to investigate hospitalizaton rates for traumatic brain injury using a range of tools and techniques; findings can be used for local planning of both injury prevention and post discharge services, including rehabilitation.

Aging in Rural Canada: A Retrospective and Review

La recherche sur le vieillissement en milieu rural s’est développée considérablement depuis la publication du livre,Aging in Rural Canada(Butterworths, 1991). Le but de cet article est double : de fournir une rétrospective sur les questions de viellissement en milieu rural tirée de ce livre, et une revue de la littérature canadienne sur le vieillissement en milieu rural depuis sa publication. L’examen met en évidence les nouvelles orientations dans les définitions conceptuelles du « rural », et dans les questions de l’engagement social, l’indépendance, les réseaux familiaux et sociaux et les services ruraux et la santé. Deux perspectives principales de recherche sont évidents. Le point de vue ou l’optique d’analyse de la marginalisation se concentre sur les personnes âgées en milieu rural ayant des problèmes de santé, mais n’a pas inclus celles qui sont marginalisées par la pauvrété ou le sexe. L’optique d’analyse du vieillissement sain se concentre sur les contributions et l’engagement, mais a omis la recherche sur les relations sociales et la qualité de l’interaction familiale. Le rapport comprend un appel s’interroger sur l’interaction entre les gens et leur lieu de vie et à comprendre les enjeux de la diversité en milieu rural et le processus de vieillissement en milieu rural.

Trauma in the neighborhood: a geospatial analysis and assessment of social determinants of major injury in North America

OBJECTIVES

We sought to identify and characterize areas with high rates of major trauma events in 9 diverse cities and counties in the United States and Canada.

METHODS

We analyzed a prospective, population-based cohort of injured individuals evaluated by 163 emergency medical service agencies transporting patients to 177 hospitals across the study sites between December 2005 and April 2007. Locations of injuries were geocoded, aggregated by census tract, assessed for geospatial clustering, and matched to sociodemographic measures. Negative binomial models were used to evaluate population measures.

RESULTS

Emergency personnel evaluated 8786 major trauma patients, and data on 7326 of these patients were available for analysis. We identified 529 (13.7%) census tracts with a higher than expected incidence of major trauma events. In multivariable models, trauma events were associated with higher unemployment rates, larger percentages of non-White residents, smaller percentages of foreign-born residents, lower educational levels, smaller household sizes, younger age, and lower income levels.

CONCLUSIONS

Major trauma events tend to cluster in census tracts with distinct population characteristics, suggesting that social and contextual factors may play a role in the occurrence of significant injury events.

Effect of stroke on fall rate, location and predictors: a prospective comparison of older adults with and without stroke

Background

The literature suggests that stroke is a major risk factor for falls, but there is a lack of prospective, controlled studies which quantify fall-risk after stroke. The purpose of this study was to compare the rates, location and predictors among individuals recently discharged home from stroke rehabilitation to age and sex matched controls.

Methodology/Principal Findings

A sample of 80 people with stroke and 90 controls received baseline assessments of balance, mobility and balance confidence. Falls were recorded prospectively over 13 months for both groups. Group differences in fall rates and contribution of clinical measures to falls were determined using negative binomial regression. Fall location was compared between groups using χ² statistics. The rate of falls for individuals with stroke was 1.77 times the rate for the control group. People with stroke were more likely to fall at home. Poorer balance (Berg Balance Scale) was associated with greater falls for both stroke and control groups (incidence rate ratio [IRR]: 0.908 and IRR: 0.877 respectively). A faster Timed Up and Go Test was associated with greater falls for the stroke group (IRR: 0.955) while better walking endurance (Six Minute Walk Test) was associated with greater falls for the controls (IRR: 1.004). Balance confidence was not an independent predictor in either group.

Conclusions

Individuals recently discharged home are at greater risk of falling than individuals without stroke. Attention to home environment is warranted. Balance function can predict falls for both people with stroke and age and sex matched controls. Increased mobility may increase exposure to fall opportunities.

Individual and Areal Risk Factors for Road Traffic Injury Deaths: Nationwide Study in South Korea

This study determines the individual and areal risk factors for road traffic injury deaths in South Korea. The risk factors that influence road traffic injury deaths are defined by multilevel Poisson regression analysis. It is seen that not only demographic factors but also individual educational level, which represents socioeconomic status, influences road traffic injury deaths. The material deprivation index, which represents areal socioeconomic status, and W statistics, as a measure of the quality of the emergency medical system in an area, also influence road traffic injury deaths. Based on this study, the most vulnerable group for road traffic injury deaths is elderly men with a low level of education who live in the most deprived areas.Therefore, preventive policies focusing on both these areas and this population demographic should be established.

The effects of rurality on mental and physical health

The effects of rurality on physical and mental health are examined in analyses of a national dataset, the Community Tracking Survey, 2000-2001, that includes individual level observations from household interviews. We merge it with county level data reflecting community resources and use econometric methods to analyze this multi-level data. The statistical analysis of the impact of the choice of definition on outcomes and on the estimates and significance of explanatory variables in the model is presented using modern econometric methods, and differences in results for mental health and physical health are evaluated.

Injury surveillance in low-resource settings using Geospatial and Social Web technologies

Background

Extensive public health gains have benefited high-income countries in recent decades, however, citizens of low and middle-income countries (LMIC) have largely not enjoyed the same advancements. This is in part due to the fact that public health data - the foundation for public health advances - are rarely collected in many LMIC. Injury data are particularly scarce in many low-resource settings, despite the huge associated burden of morbidity and mortality. Advances in freely-accessible and easy-to-use information and communication (ICT) technology may provide the impetus for increased public health data collection in settings with limited financial and personnel resources.

Methods and Results

A pilot study was conducted at a hospital in Cape Town, South Africa to assess the utility and feasibility of using free (non-licensed), and easy-to-use Social Web and GeoWeb tools for injury surveillance in low-resource settings. Data entry, geocoding, data exploration, and data visualization were successfully conducted using these technologies, including Google Spreadsheet, Mapalist, BatchGeocode, and Google Earth.

Conclusion

This study examined the potential for Social Web and GeoWeb technologies to contribute to public health data collection and analysis in low-resource settings through an injury surveillance pilot study conducted in Cape Town, South Africa. The success of this study illustrates the great potential for these technologies to be leveraged for public health surveillance in resource-constrained environments, given their ease-of-use and low-cost, and the sharing and collaboration capabilities they afford. The possibilities and potential limitations of these technologies are discussed in relation to the study, and to the field of public health in general.

A small-area study of environmental risk assessment of outdoor falls

Falls in public places are an issue of great health concern especially for the elderly. Falls among the elderly is also a major health burden in many countries. This study describes a spatial approach to assess environmental causes of outdoor falls using a small urban community in Hong Kong as an example. The method involves collecting data on fall occurrences and mapping their geographic positions to examine circumstances and environmental evidence that contribute to falls. High risk locations or hot spots of falls are identified on the bases of spatial proximity and concentration of falls within a threshold distance by means of kernel smoothing and standard deviational ellipses. This method of geographic aggregation of individual fall incidents for a small-area study yields hot spots of manageable sizes. The spatial clustering approach is effective in two ways. Firstly, it allows visualisation and isolation of fall hot spots to draw focus. Secondly and especially under conditions of resource decline, policy makers are able to target specific locations to examine the underlying causal mechanisms and strategise effective response and preventive measures based on the types of environmental risk factors identified.

Spatial temporal modeling of hospitalizations for fall-related hip fractures in older people

The study determined the spatial temporal characteristics of fall-related hip fractures in the elderly using routinely collected injury hospitalization and sociodemographic data. There was significant spatial temporal variation in hospitalized hip fracture rates in New South Wales, Australia.

INTRODUCTION

The study determined the spatial temporal characteristics of fall-related hip fractures in the elderly using routinely collected injury hospitalization data.

METHODS

All New South Wales (NSW), Australia residents aged 65+ years who were hospitalized for a fall-related hip fracture between 1 July 1998 and 30 June 2004 were included. Bayesian Poisson regression was used to model rates in local government areas (LGAs), allowing for the incorporation of spatial, temporal, and covariate effects.

RESULTS

Hip fracture rates were significantly decreasing in one LGA, and there were no significant increases in any LGAs. The proportion of the population in residential aged care facilities was significantly associated with the rate of hospitalized hip fractures with a relative risk (RR) of 1.003 (95% credible interval 1.002, 1.004). Socioeconomic status was also related to hospitalized hip fractures with those in the third and fourth quintiles being at decreased risk of hip fracture compared to those in the least disadvantaged (fifth) quintile [RR = 0.837 (0.717, 0.972) and RR = 0.855 (0.743, 0.989) respectively].

CONCLUSIONS

There was significant spatial temporal variation in hospitalized hip fracture rates in NSW, Australia. The use of Bayesian methods was crucial to allow for spatial correlation, covariate effects, and LGA boundary changes.

It takes a village to prevent falls: reconceptualizing fall prevention and management for older adults

Systematic evidence reviews support the efficacy of physical activity programs and multifactorial strategies for fall prevention. However, community settings in which fall prevention programs occur often differ substantially from the research settings in which efficacy was first demonstrated. Because of these differences, alternative approaches are needed to judge the adequacy of fall prevention activities occurring as part of standard medical care or community efforts. This paper uses the World Health Organization Innovative Care for Chronic Conditions (ICCC) framework to rethink how fall prevention programs might be implemented routinely in both medical and community settings. Examples of innovative programs and policies that provide fall prevention strategies consistent with the ICCC framework are highlighted, and evidence where available is provided on the effects of these strategies on processes and outcomes of care. Finally, a "no wrong door" approach to fall prevention and management is proposed, in which older adults who are found to be at risk of falls in either a medical or community setting are linked to a standard fall risk evaluation across three domains (physical activity, medical risks, and home safety).

Predictors of falls in a multiethnic population of older rural adults with diabetes

BACKGROUND

Falls are a recognized danger for older adults with diabetes. Persons in rural communities with diabetes may face additional risks from falling due to environmental and activity differences.

METHODS

Data were obtained in a cross-sectional survey of a stratified random sample of 691 community-dwelling adults (42.7% white, 31.4% African American, and 25.9% Native American) at least 65 years old with two or more Medicare claims for diabetes in 1998-2000, living in two rural counties in North Carolina. Falls data were self-reported for the previous year. Demographic data, foot-related symptoms, diabetes medications, and other health characteristics were reported.

RESULTS

Three hundred two persons (43.7%) reported falling at least once, including 171 (26.2%) who experienced two or more (frequent) falls. Frequent fallers were more likely to be male (odds ratio [OR] = 1.76; 95% confidence interval [CI] = 1.17, 2.66), report tingling or numbness in feet (OR = 1.75; 95% CI = 1.13, 2.70), have had a stroke (OR = 1.81; 95% CI = 1.19, 2.76), have longer duration of diabetes (OR = 1.21; 95% CI = 1.00, 1.47), have lower physical functioning (OR = 0.97; 95% CI = 0.96, 0.99) and mobility (OR = 0.89; 95% CI = 0.82, 0.96), and take a greater number of prescription medications (OR = 1.07; 95% CI = 1.01, 1.13).

CONCLUSIONS

For rural older adults with diabetes, falls history should be screened to identify those at risk. Further research should investigate unique environmental factors contributing to falls for rural elderly persons.

An Ecological Study on the Association of Public Dental Health Activities and Sociodemographic Characteristics with Caries Prevalence in Japanese 3-Year-Old Children

The aim of this ecological study was to determine the association of the frequency of dental health activities conducted as public health service and sociodemographic characteristics with caries prevalence in Japanese 3-year-old children using data for each municipality as one unit. Data on caries prevalence in 3-year-old children in 2000 were obtained from 3,251 municipalities (almost all municipalities in Japan). Caries prevalence for each municipality was recalculated using the empirical Bayes estimation model to make adjustments for variations in municipalities with small numbers of children. Explanatory factors included annual frequency of dental health activities such as dental health education and topical fluoride application programs and various sociodemographic characteristics. Multiple linear regression analysis was applied to examine the associations between caries prevalence and annual frequency of dental health activities with adjustment of other sociodemographic variables. Variations in caries prevalence in municipalities with small populations became smaller after being adjusted by the empirical Bayes estimation model. Multiple linear regression analysis showed significant associations of caries prevalence with sociodemographic characteristics such as the proportion of residents with university degrees, total fertility rate, and the proportion of workers in the manufacturing industry (p < 0.001). Annual frequency of topical fluoride application showed a significant but relatively weak association with caries prevalence (p < 0.001), explaining only 0.8% of the total variation in caries prevalence, whereas no correlation was found between caries prevalence and annual frequency of dental health education. It was concluded that the effect of the fluoride application service on caries prevalence in 3-year-old children, although statistically significant, was of far lower clinical significance than sociodemographic characteristics.

Health and GIS: toward spatial statistical analyses

This study examined the extent to which health studies, mostly in public health and epidemiology, used geographical information systems (GIS). We identified a wide range of tools they used-ranging from geocoding through simple buffer/overlay functions to spatial query functions. However, studies tend to rely on tools outside of GIS for spatial statistical analyses. This may reflect a lack of spatial statistical tools that are suitable for health researchers whose data are rather geographically aggregated count data than continuous data. Implementation within GIS of spatial analytical tools suitable for aggregated data over a region will increase the use of GIS beyond simple GIS operations in health studies.