Healthcare costs following falls and cataract surgery in older adults using Australian linked health data from 2012-2019.

OBJECTIVES: To investigate publicly funded healthcare costs according to faller status and the periods pre- and post-cataract surgeries, and identify factors associated with higher monthly costs in older people with bilateral cataract. METHODS: This prospective cohort study included community-dwelling older people aged 65 and over (between 2012 and 2019); at baseline participants had bilateral cataract and were waiting for cataract surgery in New South Wales (NSW) public hospitals. Participants were followed for 24 months. The study used self-reported and linked data (Medicare Benefits Schedule, Pharmaceutical Benefits Scheme, NSW Admitted Patient and Emergency Department Data Collections) to identify falls, cataract surgeries and healthcare costs incurred by the Australian and NSW Governments, all costs were inflated to 2018-19 Australian dollars (AUD). Median monthly healthcare costs were calculated for faller status (non-faller, non-medically treated faller, medically treated faller) and surgery periods (pre-surgery, post-first surgery, post-second surgery). Costs in the 30 days following a medically treated fall were estimated. A generalised linear model was used to investigate predictors of healthcare costs. RESULTS: During the median follow-up period of 24 months, 274 participants suffered 448 falls, with 95 falls requiring medical treatment. For medically treated falls, the mean cost in the 30 days after treatment was A$3779 (95% confidence interval $2485, $5074). Higher monthly healthcare costs were associated with a higher number of medications, being of the male sex, having one or more medically treated falls and having bilateral cataract surgery. After excluding the cost of cataract surgery, there were no significant differences in healthcare costs between the pre-cataract surgery, post-first eye cataract surgery and post-second eye cataract surgery periods. CONCLUSIONS: To our knowledge, this is the first study investigating publicly funded costs related to falls and cataract surgery in older people with bilateral cataract. This information enhances our understanding of healthcare costs in this group. The patterns in costs associated with falls can guide future government healthcare expenditure on falls treatment and prevention, including timely cataract surgery.

The incidence of falls after first and second eye cataract surgery: a longitudinal cohort study.

OBJECTIVE: To compare fall incidence, and visual acuity and refractive status, before surgery and after first and second eye cataract surgery. DESIGN, SETTING: Prospective observational study in eight tertiary referral ophthalmology clinics in public hospitals in Sydney, Melbourne, and Perth. PARTICIPANTS: People aged 65 years or more referred for bilateral age-related cataract surgery during 2013-16, followed for maximum of 24 months after study entry or until six months after second eye surgery, whichever was shorter. MAIN OUTCOME MEASURES: Primary outcome: age- and sex-adjusted incidence of falls. SECONDARY OUTCOMES: visual acuity and refractive error. RESULTS: The mean age of the 409 included participants was 75.4 years (SD, 5.4 years); 220 were women (54%). Age- and sex-adjusted fall incidence prior to surgery was 1.17 (95% CI, 0.95-1.43) per year, 0.81 (95% CI, 0.63-1.04) per year after first eye surgery, and 0.41 (95% CI, 0.29-0.57) per year after second eye surgery. For the 118 participants who underwent second eye surgery and participated in all follow-up visits, age- and sex-adjusted incidence before (0.80 [95% CI, 0.55-1.15] falls per year) and after first eye surgery (0.81 [95% CI, 0.57-1.15] falls per year) was similar, but was lower after second eye surgery (0.32 [95% CI 0.21-0.50] falls per year). Mean habitual binocular visual acuity (logMAR) was 0.32 (SD, 0.21) before surgery, 0.15 (SD, 0.17) after first eye surgery, and 0.07 (SD, 0.15) after second eye surgery. CONCLUSIONS: First eye surgery substantially improves vision in older people with cataract, but second eye surgery is required to minimise fall incidence. Timely cataract surgery for both eyes not only optimises vision in older people with cataract, but also reduces their risk of injury from falls.

Vision and driving status of older Australians with cataract: an investigation of public hospital waiting lists.

BACKGROUND: Although cataract surgery can restore sight, lengthy waiting times are common in public hospitals in Australia. We investigated the driving status of older people during their surgical waiting period. METHODS: Baseline, cross-sectional data from two prospective cohort studies of patients aged 50 years and older on Australian public hospital cataract surgery waiting lists were analysed. Participants underwent assessment of vision and completed the Driving Habits Questionnaire. The vision status was compared between current drivers and former drivers. RESULTS: Participants (n = 442) were on average 73 ± 8 years of age and approximately half were women (229/442, 52 per cent). Habitual vision was 6/12(+2) on average (0.26 ± 0.21 logMAR). There were 263 (60 per cent) current drivers, 110 (25 per cent) former drivers and 69 participants (16 per cent) who had never driven. Among the current drivers, 82/263 (31 per cent) failed visual acuity requirements for an unconditional drivers' license (6/12 acuity with one or both eyes). The former drivers had worse visual acuity than the current drivers (between group difference 0.12 ± 0.20 logMAR, p < 0.0001) and worse contrast sensitivity (between group difference -0.14 ± 0.22 log units, p < 0.0001). Both high contrast visual acuity and contrast sensitivity were independently associated with still driving. More than half (140/263, 53 per cent) of the drivers believed that their cataract had affected their driving and 23 current drivers (nine per cent) reported a crash in the last 12 months. CONCLUSION: We report on the level of visual impairment among older drivers waiting for cataract surgery. Approximately one-third did not meet the required visual acuity standard for driving and hence would require further ophthalmic assessment and a conditional license to continue to drive. Approximately one-quarter of the surgical candidates were no longer driving and this was associated with greater visual impairment. These findings support a need for timely and appropriately prioritised access to cataract surgical services.

Use of AUDIT-C as a tool to identify hazardous alcohol consumption in admitted trauma patients.

INTRODUCTION: Alcohol use is an important contributor to injuries. Simple bedside tools to identify trauma patients with potentially harmful drinking may assist in brief intervention efforts in clinical practice. The objective of the study was to determine and compare the accuracy of alcohol use disorders identification test (AUDIT) and an abbreviated version of this test, in the detection of hazardous drinking. METHODS: A cross-sectional study of a convenience sample of admitted trauma patients at a single Australian major trauma centre. Eligible patients completed the AUDIT. AUDIT survey responses were scored in two ways, using the full form scale and secondly an abbreviated (AUDIT C) scale which uses only the first 3 questions. AUDIT and AUDIT-C scores were then evaluated with respect to the primary study measure; the detection of hazardous alcohol consumption based on a full alcohol consumption history. Sensitivities for each relevant score were calculated and receiver operator characteristic (ROC) curve analysis was used to determine test accuracy. RESULTS: During the study period, 523 trauma admissions were identified and of these 146 (28%) were screened. The optimum cut off scores for AUDIT and AUDIT-C were 8 and 5 respectively corresponding to sensitivities of 88% and 91% and both tests had excellent overall accuracy for the detection of hazardous alcohol consumption. There was no significant difference between AUDIT-C and AUDIT performance (p=0.395) (AUDIT-C AUROC 0.96 95%CI 0.93, 0.99). CONCLUSION: AUDIT-C appears to be a potentially useful screening tool for use trauma centres, but that further research with larger samples is required.

Falls in Older people with Cataract, a longitudinal evalUation of impact and riSk: the FOCUS study protocol.

BACKGROUND: Falls result in >$1 billion in treatment, disability, lost output and mortality each year in Australia and people with cataract are at increased risk. Previous research is inconclusive; one large Australian study using linked hospital data found no protective effect of cataract surgery. We aim to examine the impact of cataract-related vision impairment on falls risk and the additional effects of delays in access to surgery, refractive management (type of spectacles and changes to spectacle prescription) and the resulting level of function, particularly binocular function which can impact balance. METHOD/DESIGN: A prospective, 24-month cohort study is planned involving over 700 patients aged 70 years or older with bilateral cataract presenting for surgery at five public hospital eye clinics in Sydney, Melbourne and Perth, Australia. The primary outcomes will be self-reported falls and falls requiring medical care, assessed objectively using administrative data sets. Secondary outcomes include community participation, quality of life, mood and depressive symptoms. McNemar's test will be used to evaluate differences in falls rate before, after first eye and after second eye cataract surgery. Generalised Estimating Equations linear regression analysis will be undertaken to examine factors associated with falls risk and the secondary outcomes. DISCUSSION: With limited resources to further shorten public waiting lists, there is a need to better understand an individuals' risk of fall injury or other negative consequences while waiting for surgery. The findings of this project will inform the development of strategies to reduce falls risk in the many older people with cataract.

Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.

BACKGROUND: Reliable and timely information on the leading causes of death in populations, and how these are changing, is a crucial input into health policy debates. In the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010), we aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex. METHODS: We attempted to identify all available data on causes of death for 187 countries from 1980 to 2010 from vital registration, verbal autopsy, mortality surveillance, censuses, surveys, hospitals, police records, and mortuaries. We assessed data quality for completeness, diagnostic accuracy, missing data, stochastic variations, and probable causes of death. We applied six different modelling strategies to estimate cause-specific mortality trends depending on the strength of the data. For 133 causes and three special aggregates we used the Cause of Death Ensemble model (CODEm) approach, which uses four families of statistical models testing a large set of different models using different permutations of covariates. Model ensembles were developed from these component models. We assessed model performance with rigorous out-of-sample testing of prediction error and the validity of 95% UIs. For 13 causes with low observed numbers of deaths, we developed negative binomial models with plausible covariates. For 27 causes for which death is rare, we modelled the higher level cause in the cause hierarchy of the GBD 2010 and then allocated deaths across component causes proportionately, estimated from all available data in the database. For selected causes (African trypanosomiasis, congenital syphilis, whooping cough, measles, typhoid and parathyroid, leishmaniasis, acute hepatitis E, and HIV/AIDS), we used natural history models based on information on incidence, prevalence, and case-fatality. We separately estimated cause fractions by aetiology for diarrhoea, lower respiratory infections, and meningitis, as well as disaggregations by subcause for chronic kidney disease, maternal disorders, cirrhosis, and liver cancer. For deaths due to collective violence and natural disasters, we used mortality shock regressions. For every cause, we estimated 95% UIs that captured both parameter estimation uncertainty and uncertainty due to model specification where CODEm was used. We constrained cause-specific fractions within every age-sex group to sum to total mortality based on draws from the uncertainty distributions. FINDINGS: In 2010, there were 52·8 million deaths globally. At the most aggregate level, communicable, maternal, neonatal, and nutritional causes were 24·9% of deaths worldwide in 2010, down from 15·9 million (34·1%) of 46·5 million in 1990. This decrease was largely due to decreases in mortality from diarrhoeal disease (from 2·5 to 1·4 million), lower respiratory infections (from 3·4 to 2·8 million), neonatal disorders (from 3·1 to 2·2 million), measles (from 0·63 to 0·13 million), and tetanus (from 0·27 to 0·06 million). Deaths from HIV/AIDS increased from 0·30 million in 1990 to 1·5 million in 2010, reaching a peak of 1·7 million in 2006. Malaria mortality also rose by an estimated 19·9% since 1990 to 1·17 million deaths in 2010. Tuberculosis killed 1·2 million people in 2010. Deaths from non-communicable diseases rose by just under 8 million between 1990 and 2010, accounting for two of every three deaths (34·5 million) worldwide by 2010. 8 million people died from cancer in 2010, 38% more than two decades ago; of these, 1·5 million (19%) were from trachea, bronchus, and lung cancer. Ischaemic heart disease and stroke collectively killed 12·9 million people in 2010, or one in four deaths worldwide, compared with one in five in 1990; 1·3 million deaths were due to diabetes, twice as many as in 1990. The fraction of global deaths due to injuries (5·1 million deaths) was marginally higher in 2010 (9·6%) compared with two decades earlier (8·8%). This was driven by a 46% rise in deaths worldwide due to road traffic accidents (1·3 million in 2010) and a rise in deaths from falls. Ischaemic heart disease, stroke, chronic obstructive pulmonary disease (COPD), lower respiratory infections, lung cancer, and HIV/AIDS were the leading causes of death in 2010. Ischaemic heart disease, lower respiratory infections, stroke, diarrhoeal disease, malaria, and HIV/AIDS were the leading causes of years of life lost due to premature mortality (YLLs) in 2010, similar to what was estimated for 1990, except for HIV/AIDS and preterm birth complications. YLLs from lower respiratory infections and diarrhoea decreased by 45-54% since 1990; ischaemic heart disease and stroke YLLs increased by 17-28%. Regional variations in leading causes of death were substantial. Communicable, maternal, neonatal, and nutritional causes still accounted for 76% of premature mortality in sub-Saharan Africa in 2010. Age standardised death rates from some key disorders rose (HIV/AIDS, Alzheimer's disease, diabetes mellitus, and chronic kidney disease in particular), but for most diseases, death rates fell in the past two decades; including major vascular diseases, COPD, most forms of cancer, liver cirrhosis, and maternal disorders. For other conditions, notably malaria, prostate cancer, and injuries, little change was noted. INTERPRETATION: Population growth, increased average age of the world's population, and largely decreasing age-specific, sex-specific, and cause-specific death rates combine to drive a broad shift from communicable, maternal, neonatal, and nutritional causes towards non-communicable diseases. Nevertheless, communicable, maternal, neonatal, and nutritional causes remain the dominant causes of YLLs in sub-Saharan Africa. Overlaid on this general pattern of the epidemiological transition, marked regional variation exists in many causes, such as interpersonal violence, suicide, liver cancer, diabetes, cirrhosis, Chagas disease, African trypanosomiasis, melanoma, and others. Regional heterogeneity highlights the importance of sound epidemiological assessments of the causes of death on a regular basis. FUNDING: Bill & Melinda Gates Foundation.

Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

BACKGROUND: Non-fatal health outcomes from diseases and injuries are a crucial consideration in the promotion and monitoring of individual and population health. The Global Burden of Disease (GBD) studies done in 1990 and 2000 have been the only studies to quantify non-fatal health outcomes across an exhaustive set of disorders at the global and regional level. Neither effort quantified uncertainty in prevalence or years lived with disability (YLDs). METHODS: Of the 291 diseases and injuries in the GBD cause list, 289 cause disability. For 1160 sequelae of the 289 diseases and injuries, we undertook a systematic analysis of prevalence, incidence, remission, duration, and excess mortality. Sources included published studies, case notification, population-based cancer registries, other disease registries, antenatal clinic serosurveillance, hospital discharge data, ambulatory care data, household surveys, other surveys, and cohort studies. For most sequelae, we used a Bayesian meta-regression method, DisMod-MR, designed to address key limitations in descriptive epidemiological data, including missing data, inconsistency, and large methodological variation between data sources. For some disorders, we used natural history models, geospatial models, back-calculation models (models calculating incidence from population mortality rates and case fatality), or registration completeness models (models adjusting for incomplete registration with health-system access and other covariates). Disability weights for 220 unique health states were used to capture the severity of health loss. YLDs by cause at age, sex, country, and year levels were adjusted for comorbidity with simulation methods. We included uncertainty estimates at all stages of the analysis. FINDINGS: Global prevalence for all ages combined in 2010 across the 1160 sequelae ranged from fewer than one case per 1 million people to 350,000 cases per 1 million people. Prevalence and severity of health loss were weakly correlated (correlation coefficient -0·37). In 2010, there were 777 million YLDs from all causes, up from 583 million in 1990. The main contributors to global YLDs were mental and behavioural disorders, musculoskeletal disorders, and diabetes or endocrine diseases. The leading specific causes of YLDs were much the same in 2010 as they were in 1990: low back pain, major depressive disorder, iron-deficiency anaemia, neck pain, chronic obstructive pulmonary disease, anxiety disorders, migraine, diabetes, and falls. Age-specific prevalence of YLDs increased with age in all regions and has decreased slightly from 1990 to 2010. Regional patterns of the leading causes of YLDs were more similar compared with years of life lost due to premature mortality. Neglected tropical diseases, HIV/AIDS, tuberculosis, malaria, and anaemia were important causes of YLDs in sub-Saharan Africa. INTERPRETATION: Rates of YLDs per 100,000 people have remained largely constant over time but rise steadily with age. Population growth and ageing have increased YLD numbers and crude rates over the past two decades. Prevalences of the most common causes of YLDs, such as mental and behavioural disorders and musculoskeletal disorders, have not decreased. Health systems will need to address the needs of the rising numbers of individuals with a range of disorders that largely cause disability but not mortality. Quantification of the burden of non-fatal health outcomes will be crucial to understand how well health systems are responding to these challenges. Effective and affordable strategies to deal with this rising burden are an urgent priority for health systems in most parts of the world. FUNDING: Bill & Melinda Gates Foundation.