926 resultados para Health models
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Objectives: To investigate the validity of a common depression metric in independent samples. Study Design and Setting: We applied a common metrics approach based on item-response theory for measuring depression to four German-speaking samples that completed the Patient Health Questionnaire (PHQ-9). We compared the PHQ item parameters reported for this common metric to reestimated item parameters that derived from fitting a generalized partial credit model solely to the PHQ-9 items. We calibrated the new model on the same scale as the common metric using two approaches (estimation with shifted prior and StockingeLord linking). By fitting a mixed-effects model and using BlandeAltman plots, we investigated the agreement between latent depression scores resulting from the different estimation models. Results: We found different item parameters across samples and estimation methods. Although differences in latent depression scores between different estimation methods were statistically significant, these were clinically irrelevant. Conclusion: Our findings provide evidence that it is possible to estimate latent depression scores by using the item parameters from a common metric instead of reestimating and linking a model. The use of common metric parameters is simple, for example, using a Web application (http://www.common-metrics.org) and offers a long-term perspective to improve the comparability of patient-reported outcome measures.
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Perceived social support is associated with overall better mental health. There is also evidence that unemployed workers with higher social support cope better psychologically than those without such support. However, there has been limited research about the effect of social support among people who have experienced both unemployment and employment. We assessed this topic using 12 years of annually collected cohort data. The sample included 3190 people who had experienced both unemployment and employment. We used longitudinal fixed-effects modelling to investigate within-person changes in mental health comparing the role of social support when a person was unemployed to when they were employed. Compared to when a person reported low social support, a change to medium (6.35, 95% 5.66 to 7.04, p < 0.001) or high social support (11.58, 95%, 95% CI 10.81 to 12.36, p < 0.001) was associated with a large increase in mental health (measured on an 100 point scale, with higher scores representing better mental health). When a person was unemployed but had high levels of social support, their mental health was 2.89 points (95% CI 1.67 to 4.11, p < 0.001) higher than when they were employed but had lower social support. The buffering effect of social support was confirmed in stratified analysis. There was a strong direct effect of social support on mental health. The magnitude of these differences could be considered clinically meaningful. Our results also suggest that social support has a significant buffering effect on mental health when a person is unemployed.
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BACKGROUND: Workplace health programs have demonstrated improvements in a number of risk factors for chronic disease. However, there has been little investigation of participant characteristics that may be associated with change in risk factors during such programs. The aim of this paper is to identify participant characteristics associated with improved waist circumference (WC) following participation in a four-month, pedometer-based, physical activity, workplace health program.
METHODS: 762 adults employed in primarily sedentary occupations and voluntarily enrolled in a four-month workplace program aimed at increasing physical activity were recruited from ten Australian worksites in 2008. Seventy-nine percent returned at the end of the health program. Data included demographic, behavioural, anthropometric and biomedical measurements. WC change (before versus after) was assessed by multivariable linear and logistic regression analyses. Seven groupings of potential associated variables from baseline were sequentially added to build progressively larger regression models.
RESULTS: Greater improvement in WC during the program was associated with having completed tertiary education, consuming two or less standard alcoholic beverages in one occasion in the twelve months prior to baseline, undertaking less baseline weekend sitting time and lower baseline total cholesterol. A greater WC at baseline was strongly associated with a greater improvement in WC. A sub-analysis in participants with a 'high-risk' baseline WC revealed that younger age, enrolling for reasons other than appearance, undertaking less weekend sitting time at baseline, eating two or more pieces of fruit per day at baseline, higher baseline physical functioning and lower baseline body mass index were associated with greater odds of moving to 'low risk' WC at the end of the program.
CONCLUSIONS: While employees with 'high-risk' WC at baseline experienced the greatest improvements in WC, the other variables associated with greater WC improvement were generally indicators of better baseline health. These results indicate that employees who started with better health, potentially due to lifestyle or recent behavioural changes, were more likely to respond positively to the program. Future health program initiators should think innovatively to encourage all enrolees along the health spectrum to achieve a successful outcome.
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This review discusses palliative care and end-of-life models of care for Aboriginal people in the Australian state New South Wales, and considers Aboriginal palliative care needs by reflecting on recent literature and lessons derived from Aboriginal consultation. Aboriginal people in Australia account for a very small proportion of the population, have poorer health outcomes and their culture demonstrates a clear resistance to accessing mainstream health services which are viewed as powerful, isolating and not relevant to their culture, way of life, family and belief systems. Aboriginal people regard their land as spiritual and their culture dictates that an Aboriginal person needs to know their origins, emphasising the value placed on kin and also demonstrating a strong desire to remain within their own country. Currently Aboriginal people tend to not access palliative care services in mainstream facilities; and there is very little data on Aboriginal admissions to palliative care centres. Over the last two decades only two models of palliative care focusing on and developed in Aboriginal communities have been implemented. The seminal contribution to Aboriginal Palliative Care was in the form of a resource kit developed to support palliative care providers to examine their practice for cultural appropriateness for Aboriginal and Torres Strait Islanders. The "living model" coming from this project is adaptive and flexible, enabling implementation in different Aboriginal country as a participative process with community input. The Australian government"s National Indigenous Palliative Care Needs Study similarly indicated that Australian empirical research on Aboriginal palliative care service provision is in its infancy, and comprehensive data on the rates of Aboriginal access to palliative care services did not exist. What literature does exist is drawn together in an argument for the development and need for culturally specific Aboriginal palliative care models, which are culturally appropriate, locally accessible and delivered in collaboration and partnership with Aboriginal controlled health services. This is essential because Aboriginal people are a minority cultural group who are disconnected from mainstream health service delivery, and have a sense of cultural isolation when accessing mainstream services. It is preferable that palliative care is delivered in a collaboration between Aboriginal Controlled Health Service and mainstream palliative care services to ensure a dignified end of life for the Aboriginal person. These collaborations and partnerships are fundamental to ensure that a critical mass of Aboriginal clinicians are trained and experienced in end of life care and palliation. Developing palliative care programs within Aboriginal communities and training Aboriginal Health Workers, promoted and developed in partnership with the Aboriginal community, are important strategies to enhance palliative care service provision. Further partnerships should be championed in this collaborative process, acknowledging a need for palliative care models that fit with Aboriginal peoples" community values, beliefs, cultural/ spiritual rituals, heritage and place.
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BACKGROUND: It is well established that maternal age at childbirth has implications for women's mental health in the short term, however there has been little research regarding longer term implications and whether this association has changed over time. We investigated longer term mental health consequences for young mothers in Australia and contrasted the effects between three birth cohorts. METHODS: Using thirteen waves of data from 4262 women aged 40 years or above participating in the Household, Income and Labour Dynamics in Australia Survey, we compared the mental health of women who had their first child aged 15-19 years, 20-24 years, and 25 years and older. Mental health was measured using the mental health component summary score of the SF-36. We used random-effects linear regression models to generate estimates of the association between age at first birth and mental health, adjusted for early life socioeconomic characteristics (country of birth, parents' employment status and occupation) and later life socioeconomic characteristics (education, employment, income, housing tenure, relationship status and social support). We examined whether the association changed over time, testing for effect modification across three successive birth cohorts. RESULTS: In models adjusted for early life and later life socioeconomic characteristics, there was strong evidence of an association between teenage births and poor mental health, with mental health scores on average 2.76 to 3.96 points lower for mothers aged younger than 20 years than for mothers aged 25 years and older (Late Baby Boom (born 1936-1945): -3.96, 95% CI -5.38, -2.54; Early Baby Boom (born 1946-1955): -3.01, 95% CI -4.32, -1.69; Lucky Few (born 1956-1965): -2.76, 95% CI -4.34, -1.18), and evidence of an association for mothers aged 20-24 years compared to mothers aged 25 years and older in the most recent birth cohort only (-1.09, 95% CI -2.01, -0.17). There was some indication (though weak) that the association increased in more recent cohorts. CONCLUSION: This study highlights that young mothers, and particularly teenage mothers, are a vulnerable group at high risk of poor mental health outcomes compared to mothers aged 25 years and above, and there was some suggestion (though weak) that the health disparities increased over time.
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Recent developments in primary health care, preventive care, early intervention programs, population health constructs and coordinated care trials in Australia have explored the idea of changing our emphasis in health care from responsive acute care to more integrated, whole population community wellbeing management. This idea accepts that much illness and even trauma experienced by individuals in our communities can be prevented, mitigated or managed in a more constructive and positive manner than has previously been the case. Much disabling illness need not occur at all and can be avoided through better community based management models, education programs, and lifestyle changes that contribute to more healthy communities. As in the wider business world, we are becoming more cognisant of the fact that prevention is not only an appealing idea in terms of health outcomes and quality of life, but that it is good for business also. It can moderate demand for costly health care, assist consumers to understand how to live healthier and fulfilling lives and overall help to sustain a much more dynamic community. This article, based on work in a rural health service in South Australia, points to some elements of sustainable primary care that appear to have potential to take us where we need to go. It asks whether we have the capacity and the will to make the necessary investment in sustainability to ensure our future or whether we are to remain bound in a reactionary model of health care rather than considering the impact of wider social and physical environments as part of the overall community health equation.
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Whilst health science, epidemiology and public health developments have forged enormous progress in understanding, prevention and cure in the health care area we still appear to lack the motivation to tackle the fundamental antecedents of many of our emerging population-based community health problems; the prevention of chronic illness being a prime example.
In spite of much progress in the area of health science, the social, economic and evolutionary forces that cast our physical being in the world still remain poorly understood or accepted in the health care arena. However, if our health care systems are to be manageable and sustainable in the future, these wider antecedents of our health status and wellbeing must be factored more fundamentally in to our management models with more effort being put into preventing lifestyle related chronic illnesses than is currently the case.
As in the past where public health infrastructure innovations such as running water and efficient waste disposal systems served to add greatly to the wellbeing of individuals and communities, we now need to make similar efforts to control preventable illnesses such as metabolic syndrome, type 2 diabetes and lifestyle related cardio-vascular disease at their source rather than waiting until the manifestation of these conditions require major medical and chemical intervention and management before we act. Our young people are at risk of early onset chronic conditions as a result of their emerging sedentary lifestyles, un-healthy dietary habits and health related behaviours, yet we continue to concentrate our health management effort on managing those with existing chronic conditions while leaving younger generations with lifestyle practices and behaviours that pre-dispose individuals to developing chronic illness earlier and earlier in their lives.
It is time we took notice of these emerging trends and began expending more effort to prevent what are essentially lifestyle related illnesses that can be eliminated before they become endemic. By concentrating more upon the social and environmental factors affecting our illness profiles as well as upon dealing more effectively with those who are already suffering from chronic illness we will reduce the need for major end-stage interventions and alleviate the impact and cost of early onset chronic disease. To achieve this new population health vision in Australia at least, we will not only need to utilize the new government funding structures more effectively; those structures that support coordination and more effective management of care, but also take a much broader, environmental and social view of cause and effect in relation to the health of populations.
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Technology usage for better healthcare delivery is being emphasised in the USA and other advanced nations. Electronic health records (EHR) are being widely seen as improving operational efficiency and reducing medication errors in clinic practices and hospitals. Further, hospitals and clinics stand to gain incentives from the federal government if they implement EHRs and demonstrate meaningful use of EHRs. While numerous other aspects of HER implementations is found in literature, financial models have not been well studied. Before implementing EHR, one must take into consideration investment recovery period considering the costs, savings and possible tax incentives. In this paper, we develop financial model for computing investment recovery period in EHR implementations assuming constant patient visits. We further develop required growth rate formula if investments need to be recovered in fixed number of years. The model is illustrated with numerical example.
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Despite a growing body of epidemiological evidence in recent years documenting the health impacts of racism, the cumulative evidence base has yet to be synthesized in a comprehensive meta-analysis focused specifically on racism as a determinant of health. This meta-analysis reviewed the literature focusing on the relationship between reported racism and mental and physical health outcomes. Data from 293 studies reported in 333 articles published between 1983 and 2013, and conducted predominately in the U.S., were analysed using random effects models and mean weighted effect sizes. Racism was associated with poorer mental health (negative mental health: r = -.23, 95% CI [-.24,-.21], k = 227; positive mental health: r = -.13, 95% CI [-.16,-.10], k = 113), including depression, anxiety, psychological stress and various other outcomes. Racism was also associated with poorer general health (r = -.13 (95% CI [-.18,-.09], k = 30), and poorer physical health (r = -.09, 95% CI [-.12,-.06], k = 50). Moderation effects were found for some outcomes with regard to study and exposure characteristics. Effect sizes of racism on mental health were stronger in cross-sectional compared with longitudinal data and in non-representative samples compared with representative samples. Age, sex, birthplace and education level did not moderate the effects of racism on health. Ethnicity significantly moderated the effect of racism on negative mental health and physical health: the association between racism and negative mental health was significantly stronger for Asian American and Latino(a) American participants compared with African American participants, and the association between racism and physical health was significantly stronger for Latino(a) American participants compared with African American participants. Protocol PROSPERO registration number: CRD42013005464.
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PURPOSE: Emerging literature suggests that physical activity and fitness may have a positive impact on cognitive and mental health for adolescents. The purpose of the current study was to evaluate the efficacy of two high intensity interval training (HIIT) protocols for improving cognitive and mental health outcomes (executive function, psychological wellbeing, psychological distress and physical self-concept) in adolescents.
METHODS: Participants (n=65; mean age=15.8±0.6) were randomized to three conditions: aerobic exercise program (AEP; n=21), resistance and aerobic exercise program (RAP; n=22) and control (n=22). HIIT sessions (8-10min/session) were delivered during physical education lessons or at lunchtime three times/week for 8-weeks. Assessments were conducted at baseline and immediate post-intervention to detect changes in executive function (Trail Making Test, TMT), psychological wellbeing, psychological distress and physical self-description, by researchers blinded to treatment allocation. Intervention effects were examined using linear mixed models. Cohen's d effect sizes and clinical inference were also calculated.
RESULTS: Small improvements in executive function (d=-0.32, 95%CI -9.12 to 9.77; p=0.386) and psychological wellbeing (d=0.34, 95%CI -1.73 to 2.37; p=0.252) were evident in the AEP group. Moderate improvements in executive function (d=-0.51, 95% CI -8.92 to 9.73; p=0.171), and small improvements in wellbeing (d=0.35, 95%CI -1.46 to 2.53; p=0.219) and perceived appearance (d=0.35, 95%CI -0.74 to 0.41; p=0.249), were observed for the RAP group. Mean feelings state scores improved from pre-workout to post-post workout in both HIIT conditions, with significant results for the AEP (p=0.001).
CONCLUSIONS: This study highlights the potential of embedding HIIT within the school day for improving cognitive and mental health among adolescents.
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While there is evidence that spouses can impact the self-management of adults with type 2 diabetes mellitus, less is known about the influence of the wider social network. This qualitative study explored the perceived impact of the family as well as friends and work colleagues on type 2 diabetes mellitus self-management. A total of 25 adults with type 2 diabetes mellitus participated in semi-structured interviews regarding their social experiences of living with diabetes. Deductive thematic analysis was applied to the data. Pre-existing themes of health-related social control and social support were identified in the wider social network, with additional themes of non-involvement and unintentional undermining also emerging.
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INTRODUCTION: Medical-legal partnerships (MLP) are a model in which medical and legal practitioners are co-located and work together to support the health and wellbeing of individuals by identifying and resolving legal issues that impact patients' health and wellbeing. The aim of this article is to analyse the benefits of this model, which has proliferated in the USA, and its applicability in the context of rural and remote Australia.
METHODS: This review was undertaken with three research questions in mind: What is an MLP? Is service provision for individuals with mental health concerns being adequately addressed by current service models particularly in the rural context? Are MLPs a service delivery channel that would benefit individuals experiencing mental health issues?
RESULTS: The combined searches from all EBSCO Host databases resulted in 462 citations. This search aggregated academic journals, newspapers, book reviews, magazines and trade publications. After several reviews 38 papers were selected for the final review based on their relevance to this review question: How do MLPs support mental health providers and legal service providers in the development of a coordinated approach to supporting mental health clients' legal needs in regional and rural Australia?
CONCLUSIONS: There is considerable merit in pursuing the development of MLPs in rural and remote Australia particularly as individuals living in rural and remote areas have far fewer opportunities to access support services than those people living in regional and metropolitan locations. MLPS are important channels of service delivery to assist in early invention of legal problems that can exacerbate mental health problems.
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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 To evaluate the factor structure of the revised Partners in Health (PIH) scale for measuring chronic condition self-management in a representative sample from the Australian community.
Methods A series of consultations between clinical groups underpinned the revision of the PIH. The factors in the revised instrument were proposed to be: knowledge of illness and treatment, patient–health professional partnership, recognition and management of symptoms and coping with chronic illness. Participants (N = 904) reporting having a chronic illness completed the revised 12-item scale. Two a priori models, the 4-factor and bi-factor models were then evaluated using Bayesian confirmatory factor analysis (BCFA). Final model selection was established on model complexity, posterior predictive p values and deviance information criterion.
Results Both 4-factor and bi-factor BCFA models with small informative priors for cross-loadings provided an acceptable fit with the data. The 4-factor model was shown to provide a better and more parsimonious fit with the observed data in terms of substantive theory. McDonald’s omega coefficients indicated that the reliability of subscale raw scores was mostly in the acceptable range.
Conclusion The findings showed that the PIH scale is a relevant and structurally valid instrument for measuring chronic condition self-management in an Australian community. The PIH scale may help health professionals to introduce the concept of self-management to their patients and provide assessment of areas of self-management. A limitation is the narrow range of validated PIH measurement properties to date. Further research is needed to evaluate other important properties such as test–retest reliability, responsiveness over time and content validity.
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Pacific people living in New Zealand have higher mortality rates than New Zealand residents of European/Other ethnicity. The aim of this paper is to see whether Pacific mortality rates vary by natality and duration of residence. We used linked census-mortality information for 25- to 74-year-olds in the 2001 census followed for up to three years. Hierarchical Bayesian modeling provided a means of handling sparse data. Posterior mortality rates were directly age-standardized. We found little evidence of mortality differences between the overseas-born and the New Zealand-born for all-cause, cancer, and cardiovascular disease (CVD) mortality. However, we found evidence for lower all-cause (and possibly cancer and CVD) mortality rates for Pacific migrants resident in New Zealand for less than 25 years relative to those resident for more than 25 years. This result may arise from a combination of processes operating over time, including health selection effects from variations in New Zealand's immigration policy, the location of Pacific migrants within the social, political, and cultural environment of the host community, and health impacts of the host culture. We could not determine the relative importance of these processes, but identifying the (modifiable) drivers of the inferred long-term decline in health of the overseas-born Pacific population relative to more-recent Pacific migrants is important to Pacific communities and from a national health and policy perspective.