79 resultados para years of life lost


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PURPOSE: This study aimed to quantify the non-hospital healthcare costs associated with language difficulties within two nationally representative samples of children. METHOD: Data were from three biennial waves (2004-2008) of the Longitudinal Study of Australian Children (B cohort: 0-5 years; K cohort: 4-9 years). Language difficulties were defined as scores ≤ 1.25 SD below the mean on measures of parent-reported communication (0-3 years) and directly assessed vocabulary (4-9 years). Participant data were linked to administrative data on non-hospital healthcare attendances and prescription medications from the universal Australian Medicare subsidized healthcare scheme. RESULT: It was found that healthcare costs over each 2-year age band were higher for children with than without language difficulties at 0-1, 2-3, and 4-5 years, notably 36% higher (mean difference = $AU206, 95% CI = $90, $321) at 4-5 years (B cohort). The slightly higher 2-year healthcare costs for children with language difficulties at 6-7 and 8-9 years were not statistically different from those without language difficulties. Modelled to the corresponding Australian child population, 2-year government costs ranged from $AU1.2-$AU12.1 million (depending on age examined). Six-year healthcare costs increased with the persistence of language difficulties in the K cohort, with total Medicare costs increasing by $192 (95% CI = $74, $311; p = .002) for each additional wave of language difficulties. CONCLUSION: Language difficulties (whether transient or persistent) were associated with substantial excess population healthcare costs in childhood, which are in addition to the known broader costs incurred through the education system. It is unclear whether healthcare costs were specifically due to the assessment and/or treatment of language difficulties, as opposed to conditions that may be co-morbid with or may cause language difficulties.

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OBJECTIVE: Despite the importance of the charitable food sector for a proportion of the Australian population, there is uncertainty about its present and future contributions to wellbeing. This paper describes its nature and examines its scope for improving health and food security. METHODS: The review, using systematic methods for public health research, identified peer-reviewed and grey literature relevant to Australian charitable food programs (2002 to 2012). RESULTS: Seventy publications met the criteria and informed this paper. The sector includes food banks, more than 3,000 community agencies and 800 school breakfast programs. It provides food for up to two million people annually. The scope extends beyond emergency food relief and includes case management, advocacy and other support. Weaknesses include a food supply that is sub-optimal, resource limitations and lack of evidence to evaluate or support their work towards food security. CONCLUSIONS: The sector supports people experiencing disadvantage and involves multiple organisations, working in a variety of settings, to provide food for up to 8% of the population. The limits on the sector's capacity to address food insecurity by itself must be acknowledged so that civil society, government and the food industry can support sufficient, nutritious and affordable food for all.

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 Australians enjoy a relatively high degree of life quality as judged by comparative international statistics. This chapter reviews the distribution of Quality of Life in Australia by considering both the objective and subjective wellbeing (SWB) of the Australian population. The review begins with an overview of objective circumstances, including income, social support, and life expectancy. It also considers the distribution of trust. Two extant measures of the subjective wellbeing of Australians are then reviewed, and it is revealed that SWB has demonstrated remarkably stable properties over the last 12 years. This chapter provides some insight into the properties of the measures and the theoretical construct of Subjective Wellbeing to explain fluctuations that occur for different components of SWB. Further, this chapter considers the demographic characteristics that are common to Australians with higher and lower SWB and offers a basis of research upon which future measures of population wellbeing can be founded

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BACKGROUND: Total costs associated with care for older people nearing the end of life and the cost variations related with end of life care decisions are not well documented in the literature. Healthcare utilisation and associated health care costs for a group of older Australians who entered Transition Care following an acute hospital admission were calculated. Costs were differentiated according to a number of health care decisions and outcomes including advance directives (ADs).

METHODS: Study participants were drawn from the Coaching Older Adults and Carers to have their preferences Heard (COACH) trial funded by the Australian National Health and Medical Research Council. Data collected included total health care costs, the type of (and when) ADs were completed and the place of death. Two-step endogenous treatment-regression models were employed to test the relationship between costs and a number of variables including completion of ADs.

RESULTS: The trial recruited 230 older adults with mean age 84 years. At the end of the trial, 53 had died and 80 had completed ADs. Total healthcare costs were higher for younger participants and those who had died. No statistically significant association was found between costs and completion of ADs.

CONCLUSION: For our frail study population, the completion of ADs did not have an effect on health care utilisation and costs. Further research is needed to substantiate these findings in larger and more diverse clinical cohorts of older people.

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BACKGROUND: Mental health conditions are among the leading non-fatal diseases in middle-aged and older adults in Australia. Proximal and distal social environmental factors and physical environmental factors have been associated with mental health, but the underlying mechanisms explaining these associations remain unclear. The study objective was to examine the contribution of different types of physical activity in mediating the relationship of social and physical environmental factors with mental health-related quality of life in middle-aged and older adults. METHODS: Baseline data from the Wellbeing, Eating and Exercise for a Long Life (WELL) study were used. WELL is a prospective cohort study, conducted in Victoria, Australia. Baseline data collection took place in 2010. In total, 3,965 middle-aged and older adults (55-65 years, 47.4% males) completed the SF-36 Health Survey, the International Physical Activity Questionnaire, and a questionnaire on socio-demographic, social and physical environmental attributes. Mediation analyses were conducted using the MacKinnon product-of-coefficients test. RESULTS: Personal safety, the neighbourhood physical activity environment, social support for physical activity from family or friends, and neighbourhood social cohesion were positively associated with mental health-related quality of life. Active transportation and leisure-time physical activity mediated 32.9% of the association between social support for physical activity from family or friends and mental health-related quality of life. These physical activity behaviours also mediated 11.0%, 3.4% and 2.3% respectively, of the relationship between the neighbourhood physical activity environment, personal safety and neighbourhood social cohesion and mental health-related quality of life. CONCLUSIONS: If these results are replicated in future longitudinal studies, tailored interventions to improve mental health-related quality of life in middle-aged and older adults should use a combined strategy, focusing on increasing physical activity as well as social and physical environmental attributes.

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AIM: To establish 1) the socioeconomic and cultural profile and 2) correlates of quality of life (QOL) of Maori in advanced age. METHOD: A cross sectional survey of a population based cohort of Maori aged 80-90 years, participants in LiLACS NZ, in the Rotorua and Bay of Plenty region of New Zealand. Socioeconomic and cultural engagement characteristics were established by personal interview and QOL was assessed by the SF-12. RESULTS: In total 421 (56%) participated and 267 (63%) completed the comprehensive interview. Maori lived with high deprivation areas and had received a poor education in the public system. Home ownership was high (81%), 64% had more than 3 children still living and social support was present for practical tasks and emotional support in 82%. A need for more practical help was reported by 21%. Fifty-two percent of the participants used te reo Maori me nga tikanga (Maori language and culture) daily. One in five had experienced discrimination and one in five reported colonisation affecting their life today. Greater frequency of visits to marae/sacred gathering places was associated with higher physical health-related QOL. Unmet need for practical help was associated with lower physical health-related QOL. Lower mental health-related QOL was associated with having experienced discrimination. CONCLUSION: Greater language and cultural engagement is associated with higher QOL for older Maori and unmet social needs and discrimination are associated with lower QOL.

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BACKGROUND: Overweight and obesity in adulthood are linked to an increased risk for death and disease. Their potential effect on life expectancy and premature death has not yet been described. OBJECTIVE: To analyze reductions in life expectancy and increases in premature death associated with overweight and obesity at 40 years of age. DESIGN: Prospective cohort study. SETTING: The Framingham Heart Study with follow-up from 1948 to 1990. PARTICIPANTS: 3457 Framingham Heart Study participants who were 30 to 49 years of age at baseline. MEASUREMENTS: Mortality rates specific for age and body mass index group (normal weight, overweight, or obese at baseline) were derived within sex and smoking status strata. Life expectancy and the probability of death before 70 years of age were analyzed by using life tables. RESULTS: Large decreases in life expectancy were associated with overweight and obesity. Forty-year-old female nonsmokers lost 3.3 years and 40-year-old male nonsmokers lost 3.1 years of life expectancy because of overweight. Forty-year-old female nonsmokers lost 7.1 years and 40-year-old male nonsmokers lost 5.8 years because of obesity. Obese female smokers lost 7.2 years and obese male smokers lost 6.7 years of life expectancy compared with normal-weight smokers. Obese female smokers lost 13.3 years and obese male smokers lost 13.7 years compared with normal-weight nonsmokers. Body mass index at ages 30 to 49 years predicted mortality after ages 50 to 69 years, even after adjustment for body mass index at age 50 to 69 years. CONCLUSIONS: Obesity and overweight in adulthood are associated with large decreases in life expectancy and increases in early mortality. These decreases are similar to those seen with smoking. Obesity in adulthood is a powerful predictor of death at older ages. Because of the increasing prevalence of obesity, more efficient prevention and treatment should become high priorities in public health.

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Aim
To investigate processes at the end of life for patients who died in a subacute evaluation and management facility for older people.

Methods
A retrospective chart audit for patients (n = 55) who died in the previous 2 years was undertaken, recording a number of significant variables.


Results
Despite diagnosis of comorbid medical conditions, most participants were admitted for improved functioning or assessment for alternative accommodation. Consistent with this focus, the key contact person was most often an allied health team member. Not For Resuscitation order and/or power of attorney documents on admission were uncommon (<30%) as were referrals to palliative care specialist staff (13%), although an end-of-life discussion was recorded (90%) and often included as a new goal of care (71%).

Conclusion
Factors likely to improve end-of-life care include advance care planning, earlier recognition of short prognosis and staff education.

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Background Death in the intensive care unit is often predictable. End of life management is often discussed and initiated when futility of care appears evident. Respect for patients wishes, dignity in death, and family involvement in the decision-making process is optimal. This goal may often be elusive. Purpose Our purpose was to review the end of life processes and family involvement within our Unit. Methods We conducted a chart audit of all deaths in our 10 bed Unit over a 12-month period, reviewing patient demographics, diagnosis on admission, patient acuity, expectation of death and not-for-resuscitation status. Discussions with the family, treatments withheld and withdrawn and extubation practices were documented. The presence of family or next-of-kin at the time of death, the time to death after withdrawal of therapy and family concerns were recorded. Results There were 70 patients with a mean age of 69 years. Death was expected in 60 patients (86%) and not-for-resuscitation was documented in 58 cases (85%). Family discussions were held in 63 cases (90%) and treatment was withdrawn in 34 deaths (49%). After withdrawal of therapies, 31 patients (44%) died within 6 h. Ventilatory support was withdrawn in 24 cases (36%). Family members were present at the time of death in 46 cases (66%). Family concerns were documented about the end of life care in only 1 case (1.4%). Conclusion Our data suggests that death in our Unit was often predictable and that end of life management was a consultative process.

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OBJECTIVES: To describe patterns of time use among regional and rural adolescent girls and compare identified clusters with respect to correlates of physical activity (PA) and health-related quality of life (HRQoL).

DESIGN: Cross-sectional PA and lifestyle survey.

METHODS: Data were from Year 7-9 adolescent girls (aged 12-15 years) from 16 schools involved in a cluster-randomised trial in regional and rural Victoria, Australia (n=494). Time use data were collected using 24-h Previous Day Physical Activity Recall (PDPAR-24) questionnaire, collapsed into 17 categories of time use. Differences between time use clusters with regard to demographics, correlates of PA and HRQoL measured using PedsQL 4.0 Generic Core Scales, were investigated.

RESULTS: Two time use clusters were identified and were associated with correlates of PA and HRQoL. Girls who spent significantly more time in teams sports, non-team sports, school classes, watching TV and sleeping had higher levels of positively aligned PA correlates (e.g. self-efficacy, perceived sports competence) and HRQoL than girls characterised with high levels of computer use and video gaming. CONCLUSIONS: These findings highlight how different activity patterns of regional and rural girls affect HRQoL and can inform future intervention strategies to improve PA levels and HRQoL. Clusters characterised by low levels of PA and high computer use and video gaming require targeted interventions to address barriers to their participation.

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CONTEXT: Modifiable factors of health-related quality of life (HRQOL) are poorly described among children with advanced cancer. Symptom distress may be an important factor for intervention. OBJECTIVES: We aimed to describe patient-reported HRQOL and its relationship to symptom distress. METHODS: Prospective, longitudinal data from the multicenter Pediatric Quality of Life and Symptoms Technology study included primarily patient-reported symptom distress and HRQOL, measured at most weekly with the Memorial Symptoms Assessment Scale and Pediatric Quality of Life inventory, respectively. Associations were evaluated using linear mixed-effects models adjusting for sex, age, cancer type, intervention arm, treatment intensity, and time since disease progression. RESULTS: Of 104 enrolled patients, 49% were female, 89% were white, and median age was 12.6 years. Nine hundred and twenty surveys were completed over nine months of follow-up (84% by patients). The median total Pediatric Quality of Life score was 74 (interquartile range 63-87) and was "poor/fair" (e.g., <70) 38% of the time. "Poor/fair" categories were highest in physical (53%) and school (48%) compared to emotional (24%) and social (16%) subscores. Thirteen of 24 symptoms were independently associated with reductions in overall or domain-specific HRQOL. Patients commonly reported distress from two or more symptoms, corresponding to larger HRQOL score reductions. Neither cancer type, time since progression, treatment intensity, sex, nor age was associated with HRQOL scores in multivariable models. Among 25 children completing surveys during the last 12 weeks of life, 11 distressing symptoms were associated with reductions in HRQOL. CONCLUSION: Symptom distress is strongly associated with HRQOL. Future research should determine whether alleviating distressing symptoms improves HRQOL in children with advanced cancer.

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Background: There is increased interest in developing multidisciplinary ambulatory care models of service delivery to manage patients with complex chronic diseases. These programs are expensive and given limited resources it is important that care is targeted effectively. One potential screening strategy is to identify individuals who report the greatest decrement in health related quality of life (HRQoL) and thus greater need. The aim of this study was to explore the relationship between HRQoL, comorbid conditions and acute health care utilisation. Methods: A prospective, longitudinal cohort design was used to evaluate the impact of HRQoL on acute care utilisation rates over three-years of follow-up. Participants were enrolled in chronic disease management programs run by a metropolitan health service in Australia. Baseline data was collected from 2007-2009 and follow-up data until 2012. Administrative data was used to classify patients' primary reasons for enrolment, number of comorbidities (Charlson Score) and presentations to acute care. At enrolment, HRQoL was measured using the Assessment of Quality of Life (AQoL) instrument, for analysis AQoL scores were dichotomised at two standard deviations below the population norm. Results: There were 1999 participants (54% male) with a mean age of 63years (range 18-101), enrolled in the study. Participants' primary health conditions at enrolment were: diabetes 915 (46%), chronic respiratory disease 463 (23%), cardiac disease 260 (13%), peripheral vascular disease, and 181 (9%) and aged care 180 (9%). At 1-year multivariate logistic regression models demonstrated that AQOL utility score was not predictive of acute care presentations after adjusting for comorbidities. Over 3-years an AQoL utility score in the lowest quartile was predictive of both ED presentation (OR 1.58, 95% CI, 1.16-2.13, p=0.003) and admissions (OR 1.67, 95% CI.1.21 to 2.30, p=0.002) after adjusting for differences in age and comorbidities. Conclusion: This study found that both HRQoL and comorbidities were predictive of subsequent acute care attendance over 3-years of follow-up. At 1-year, comorbidities was a better predictor of acute care representation than HRQoL. To maximise benefits, programs should initially focus on medical disease management, but subsequently switch to strategies that enhance health independence and raise HRQoL.

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PURPOSE: Data on the use of targeted therapies at the end of life are scarce. This study reviews the pattern of use of targeted and potentially futile, toxic, or costly therapies at an Australian cancer centre. METHODS: This retrospective single-centre review of data from patients who died within 3 months of having targeted therapy examined demographic characteristics, types of cancers, types of therapy, age, and lines of prior therapy. RESULTS: Over 24 months, two groups were analysed. Firstly, 889 patients died with 107 patients who were prescribed targeted therapy. Secondly, 457 patients were treated with targeted therapies with 52 patients, (11 %) dying within 3 months. To focus on the 52 patients: median age was 69 years, 65 % were men and 35 % were women, 50 % had haematologic cancers and 50 % had solid tumours. Ten therapeutic agents were represented: a higher total number of deaths among those prescribed erlotinib, bevacizumab, and rituximab. There were no deaths within 3 months of treatment with trastuzumab, ipilimumab, or vemurafenib. The targeted therapy was the first-line treatment in 54 %, second in 15 %, and third and beyond in 15 %. The patient's sex and type of cancer had no statistically significant influence on death within 3 months of targeted treatment. CONCLUSIONS: The use of targeted therapy at the end of life in this single-centre descriptive study was lower than documented in other studies. There is a need to prospectively document the factors leading to this prescribing behaviour to guide future protocols.

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INTRODUCTION: The neighbourhood environment can assist the adoption and maintenance of an active lifestyle and affect the physical and mental well-being of older adults. The psychosocial and behavioural mechanisms through which the environment may affect physical and mental well-being are currently poorly understood. AIM: This observational study aims to examine associations between the physical and social neighbourhood environments, physical activity, quality of life and depressive symptoms in Chinese Hong Kong older adults.

METHODS AND ANALYSES: An observational study of the associations of measures of the physical and social neighbourhood environment, and psychosocial factors, with physical activity, quality of life and depressive symptoms in 900 Hong Kong older adults aged 65+ years is being conducted in 2012-2016. The study involves two assessments taken 6 months apart. Neighbourhood walkability and access to destinations are objectively measured using Geographic Information Systems and environmental audits. Demographics, socioeconomic status, walking for different purposes, perceived neighbourhood and home environments, psychosocial factors, health status, social networks, depressive symptoms and quality of life are being assessed using validated interviewer-administered self-report measures and medical records. Physical functionality is being assessed using the Short Physical Performance Battery. Physical activity and sedentary behaviours are also being objectively measured in approximately 45% of participants using accelerometers over a week. Physical activity, sedentary behaviours, quality of life and depressive symptoms are being assessed twice (6 months apart) to examine seasonality effects on behaviours and their associations with quality of life and depressive symptoms.

ETHICS AND DISSEMINATION: The study received ethical approval from the University of Hong Kong Human Research Ethics Committee for Non-Clinical Faculties (EA270211) and the Department of Health (Hong Kong SAR). Data are stored in a password-protected secure database for 10 years, accessible only to the named researchers. Findings will be submitted for publication in peer-reviewed journals.

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A NSW court last week dismissed Kevin Crump’s latest appeal against his natural life sentence. Crump, who has served nearly 42 years in prison for murder, has been formally denied any prospect of a meaningful life outside prison walls.

The decision provides a timely opportunity to reconsider the viability of terms of life without parole. It further entrenches the use of terms of life without parole in Australia despite moves overseas to restrict – and in some cases eradicate – them.