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Biomedical subjects

Ronan A Lyons

Publications and source records attributed to Ronan A Lyons.

9 recordsLinked to original sources

Injuries in homes with certain built forms.

BACKGROUND: Rates of injuries may occur more frequently in different types of homes. METHODS: Retrospective population-based cohort study utilizing three linked databases: a population register, an architectural assessment of homes in the area, and an emergency department-based injury surveillance system. RESULTS: Over 58,000 homes were classified into 94 different types according to age, size, and built form. Among the 112,248 inhabitants, there were 18,044 emergency department attendances for treatment of an injury suffered in the home. Adjusted odds ratio of injuries for residents of purpose-built apartments was substantially elevated for all injuries (2.07; 95% confidence interval [CI]=1.87-2.30) and poisoning episodes (5.6; 95% CI=3.8-8.3). CONCLUSIONS: Residents of apartment buildings have substantially higher injury rates. Additional research is required to investigate the contribution of environmental hazards and behavioral factors underlying these high rates.

Accidents, Home↗

Methodological issues in the identification of hip fractures using routine hospital data: a database study.

The proportion of the population over the age of retirement has risen in many countries, and this means there is a corresponding rise in the incidence of hip fractures. However, in order to reliably investigate the ability of interventions to prevent fracture, there needs to be a reliable measure of the incidence of hip fracture. The purpose of this study was to examine the inclusion and exclusion criteria used to identify hip fracture from hospital admission data and to examine the impact that these criteria have on estimated incidence of hip fracture. We examine the influence of: individual compared to consultant episode data; primary data compared to any diagnosis of hip fracture; emergency compared to elective admissions; and the influence of type and rate of surgery on incidence estimates. The results showed that classifying hip fractures by use of consultant episodes overestimated the rate of hip fracture by 6-31%, and this overestimation has increased in recent years. The use of primary diagnosis as opposed to any diagnosis underestimates hip fracture by 5%. Two percent (2%) of the people studied had an operation for a hip fracture but did not have a hip fracture diagnosis (many had a multiple fracture diagnosis), and 5.5% of the people studied had an elective admission for the hip fracture (perhaps falling in hospital during an elective admission). We conclude that the selection criteria can have a great influence on the number of hip fractures identified using routine data. There should be a standardized selection procedure for the identification of hip fracture, as this would enable interventions and preventive measures to be evaluated over time and facilitate comparisons of rates in different regions and countries, in order to examine factors associated with hip fracture.

Accidental Falls↗

Home injuries and built form--methodological issues and developments in database linkage.

BACKGROUND: The aim of this body of research is to determine whether injuries in the home are more common in particular types of housing. Previous home injuries research has tended to focus on behaviours or the provision of safety equipment to families with young children. There has been little consideration of the physical environment. This study reports methodological developments in database linkage and analysis to improve researchers abilities to utilise large administrative and clinical databases to carry out health and health services research. METHODS: The study involved linking a database of home injuries obtained from an emergency department surveillance system with an external survey of all homes in an area and population denominators for home types derived from a health service administrative database. Analysis of injury incidence by housing type was adjusted for potential biases due to deprivation and distance to hospital. For non-injured individuals data confidentiality considerations required the deprivation and distance measures be imputed. The process of randomly imputing these variables and the testing of the validity of this approach is detailed. RESULTS: There were 14,081 first injuries in 112,248 residents living in 54,081 homes over a two-year period. The imputation method worked well with imputed and observed measures in the injured group being very similar. Re-randomisation and a repeated analysis gave identical results to the first analysis. One particular housing type had a substantially elevated odds ratio for injury occurrence, OR = 2.07 (95% CI: 1.87 to 2.30). CONCLUSIONS: The method of data linkage, imputation and statistical analysis used provides a basis for improved analysis of database linkage studies.

Accidents, Home↗

Purpose, development and use of injury indicators.

Injury indicators can be used to give policy makers an estimate of the scale of injuries and their long-term effects. They can help compare injury levels in different areas and countries and can be used to help measure the effectiveness of interventions. Work on severity related indicators is promising. However there are no perfect indicators to date as many are hampered with difficulties in case definition and under reporting. For example, mortality rates are affected by improvements in care even if the incidence of an injury remains the same, the abbreviated injury scale (AIS) takes 10-20 minutes to code and so is not used in health service databases, surveys have problems with recall bias, definition of injury and response rates. If we accept that we need to make the best out of imperfect indicators and imperfect data then we should use multiple sources of data and accept that no one indicator can be used universally but needs to be selected for the purpose. For example, one possible new indicator of the incidence of non-fatal injury might be fracture data in the emergency department. Fractures are painful and so nearly always end up with a hospital attendance. This might give a means to compare incidence of non-fatal injury in different areas and countries. In conclusion, we need injury indicators to progress in injury prevention. Imperfect indicators can be used for targeting and evaluating interventions as long as we know and adjust for their limitations.

Accident Prevention↗

The effect of socioeconomic deprivation on fracture incidence in the United Kingdom.

Lifestyle factors such as diet and physical activity vary in different social and income groups, and are known to be important influences on the incidence of osteoporotic fractures. Financial and social pressures are a common concern for older people. We set out to study the effect of socioeconomic deprivation on the incidence of fracture in older people and to compare the findings with those for younger groups. The All Wales Injury Surveillance System (AWISS) is a computerized system that collects injury data from most A&E departments throughout Wales. In this population-based study of 1.8 million people living in the 445 electoral tracts covered by AWISS in south, west, and northeastern Wales, we identified all 60,106 residents who presented with a fracture in 1999 and 2000. We linked details of their fracture with published Townsend deprivation scores for the electoral tract in which they were living and calculated fracture rates by fifths of deprivation. We observed the expected pattern of increasing fracture incidence in older age groups. Fracture incidence was significantly higher in electoral wards with poorer Townsend scores, resulting from a marked effect of socioeconomic deprivation on fracture incidence among younger adults with a rate ratio of 1.64 (95% CI, 1.57 to 1.72). This effect diminished with age, and was not observed in older age groups. At ages 85 and over the rate ratio was 0.94 (95% CI, 0.87 to 1.01). Socioeconomic factors clearly play a part in the causation of fracture in younger adults. Lifestyle influences are important in older age groups, but socioeconomic deprivation does not appear to be a risk factor for the development of osteoporotic fractures in elderly people.

Accidents, Home↗

Place of residence and risk of fracture in older people: a population-based study of over 65-year-olds in Cardiff.

Fracture prevention strategies will be most cost-effective if targeted on groups of frail elderly people who are at particularly high risk of falls and fractures. Elderly people living in care homes are one potential target population, but fracture incidence in this setting remains poorly defined in many countries. We used the All Wales Injury Surveillance System (AWISS) in a population-based study of people aged over 65 years living in the city of Cardiff. We linked a postcode-based register of all sheltered accommodation and all residential and nursing homes in the city with injury data from Cardiff's single Accident and Emergency Department. Cardiff has 47,700 residents aged over 65 years with 1918 (4.0%) living in residential or nursing homes and 1868 (3.9%) in sheltered accommodation. In 1999 we identified a total of 1305 fractures including 366 hip fractures, giving a crude fracture incidence of 27.4/1000 per year and 7.7/1000 per year, respectively. Care home residents suffered 213 fractures, 95 of which were of the hip, giving a crude fracture incidence of 111.1/1000 per year and 49.5/1000 per year, respectively. People living in sheltered accommodation suffered 94 fractures, including 28 at the hip, giving a crude fracture incidence of 51.4/1000 per year and 15.3/1000 per year, respectively. People in care homes and sheltered accommodation tend to be older than those living in the community, and we adjusted for this by calculating age- and gender-standardized relative ratios for each setting. Compared with the community dwelling population, care home residents had an overall fracture risk of 2.9 (95% CI 2.5-3.3) and a hip fracture risk of 3.3 (95% CI 2.6-4.2). People in sheltered accommodation had a total fracture risk of 1.7 (95% CI 1.4-2.1), and a hip fracture risk of 1.6 (95% CI 1.1-2.4). Such figures support the potential cost-effectiveness of strategies that seek to prevent fractures in care homes and sheltered accommodation, and are of special interest to those planning intervention studies in these settings.

Accidental Falls↗

Seasonal variation in the incidence of wrist and forearm fractures, and its consequences.

We have used the All Wales Injury Surveillance System (AWISS) in a population-based study of wrist and forearm fractures. We examined seasonal variation in the incidence of these injuries, and looked at resulting pressures on outpatient and inpatient trauma services. AWISS collected data from eight Accident and Emergency (A&E) departments which between them serve a total of 1.2 million people in South Wales. During a single year, we identified all 5013 people who presented with a wrist or forearm fracture. Seasonal variation in wrist/forearm fracture incidence was apparent, but showed a different pattern in different age groups. Overall incidence figures were dominated by an increase in children's fractures in spring and summer. Children under the age of 15 suffered a total of 360 wrist and forearm fractures during the three winter months; an incidence of 5.9/1000 per year that was only about half that observed during the remainder of the year (10.7/1000 per year). In contrast, older people showed a higher incidence in the winter. During the winter months people aged over 75 sustained a total of 160 wrist/forearm fractures; an incidence of 8.2/1000 per year, significantly higher than the incidence observed in other months (5.8/1000 per year). Seasonality of incidence was not apparent in other age groups. Children presenting during the spring and summer months were significantly more likely to need admission to hospital; 22.8% were admitted compared with just 10.3% of those presenting during the winter months (P<0.001, chi(2)-test). Other age groups showed no significant seasonal variation in the likelihood of hospital admission.

Adolescent↗

Absence of ageism in access to critical care: a cross-sectional study.

BACKGROUND: in recent years, the NHS has been accused of ageism frequently and from many fronts. Previous studies have shown that the number of critical care beds in the UK is inadequate to meet the needs of the population. This study asks whether there is discrimination against older people in access to these critical care beds. METHODOLOGY: all sick patients in five hospitals in a South Wales Health Authority were studied every 12th day for one calendar year. Demographic, clinical and physiological data were collected. Ten members of the Welsh Intensive Care Society subsequently judged the optimum location of care for each of these individuals. This was based on a summary of diagnoses, procedures and physiological/biochemical results, but without access to the age of the patient or type of ward or hospital where the patients was actually treated. These data were analysed to determine whether the likelihood of being treated in the most appropriate setting, based on the consensus decision, was influenced by the patient's age. RESULTS: 4058 patients met the study criteria, of whom 2287 patients (56.4% of the total) were being cared for on a general ward and 1769 in critical care areas. The intensivist panel determined that 1085 (53%) ward based patients were more suitable for care on intensive care or high dependency units and 220 (12.4%) critical care patients were suitable for ward care. The proportion of patients considered to be in an inappropriate ward varied little in different age groups. DISCUSSION: many patients on general wards have needs that may be more appropriately addressed on critical care units but there is no relationship between these unmet needs and the age of the patient.

Age Factors↗