142 resultados para Health models
Resumo:
Erroneous patient birthdates are common in health databases. Detection of these errors usually involves manual verification, which can be resource intensive and impractical. By identifying a frequent manifestation of birthdate errors, this paper presents a principled and statistically driven procedure to identify erroneous patient birthdates.
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Background: Unemployment and economic inactivity are associated with worse mental health in the general population, but there is limited understanding of whether these relationships are different for those persons with mental or physical disabilities. The aim of this study was to assess whether there were differences in mental health by labour force status among persons with and without disabilities. Method: Over eight annual waves of the Household, Income and Labour Dynamics in Australia (HILDA) survey, a total of 2379 people with disabilities and 11 417 people without disabilities were identified. Mental health using the Mental Component Summary (MCS) from the Short Form 36 was modelled as a function of labour force status using fixed-effects regression models to control for time invariant confounding. Differences between those with and without disabilities were assessed by including an interaction term in regression models. Results: After finding evidence of effect modification, regression models were stratified by disability status. After adjustment, unemployment and economic inactivity were associated with a -1.85 (95% CI -2.96 to -0.73, p<0.001) and -2.66 (95% CI -3.46 to -1.86, p<0.001) reduction in scores of the MCS among those with a disability. For those without a disability, there were smaller declines associated with unemployment (-0.57, 95% CI -1.02 to -0.12, p=0.013) and economic inactivity (-0.34, 95% CI -0.64 to 0.05, p=0.022). Conclusions: These results suggest a greater reduction in mental health for those persons with disabilities who were unemployed or economically inactive than those who were employed. This highlights the value of employment for people with disabilities.
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To assess stable effects of self-management programs, measurement instruments should primarily capture the attributes of interest, for example, the self-management skills of the measured persons. However, measurements of psychological constructs are always influenced by both aspects of the situation (states) and aspects of the person (traits). This study tests whether the Health Education Impact Questionnaire (heiQ™), an instrument assessing a wide range of proximal outcomes of self-management programs, is primarily influenced by person factors instead of situational factors. Furthermore, measurement invariance over time, changes in traits and predictors of change for each heiQ™ scale were examined.
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Abstract
Purpose: The objectives of this paper are as follows: (1) propose an explanatory model as to how hearing disability may impact on health and (2) examine the model’s utility.
Methods: Data were collected on the psycho-social wellbeing, disability and physical health of farmers (n=56) participating in an intervention to manage the social impacts of hearing disability. Two models were proposed and examined using multiple hierarchical linear regression. Model 1 used self-rated quality of life and model 2 used capacity to manage hearing and listening impairments, as dependent variables.
Results: The analyses found that physical measures of hearing impairment (audiograms) were not correlated with physical or mental health outcomes. However, in model 1, self-confidence and self-rated ability to manage hearing impairment were most closely associated with reduced quality of life (anxiety and diastolic blood pressure were positively associated with quality of life). In model 2, higher anxiety and reduced self-confidence were associated with decreasing ability to successfully manage one’s hearing impairment.
Conclusions: The findings support the explanatory model that stress is higher and wellbeing lower when the fit between the person’s coping capacity and environmental demands is poor.
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Methods: Subjects were N = 580 patients with rheumatism, asthma, orthopedic conditions or inflammatory bowel disease, who filled out the heiQ™ at the beginning, the end of and 3 months after a disease-specific inpatient rehabilitation program in Germany. Structural equation modeling techniques were used to estimate latent trait-change models and test for measurement invariance in each heiQ™ scale. Coefficients of consistency, occasion specificity and reliability were computed.
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While studies investigating the health effects of racial discrimination for children and youth have examined a range of effect modifiers, to date, relationships between experiences of racial discrimination, student attitudes, and health outcomes remain unexplored. This study uniquely demonstrates the moderating effects of vicarious racism and motivated fairness on the association between direct experiences of racism and mental health outcomes, specifically depressive symptoms and loneliness, among primary and secondary school students. Across seven schools, 263 students (54.4% female), ranging from 8 to 17 years old (M = 11.2, SD = 2.2) reported attitudes about other racial/ethnic groups and experiences of racism. Students from minority ethnic groups (determined by country of birth) reported higher levels of loneliness and more racist experiences relative to the majority group students. Students from the majority racial/ethnic group reported higher levels of loneliness and depressive symptoms if they had more friends from different racial/ethnic groups, whereas the number of friends from different groups had no effect on minority students' loneliness or depressive symptoms. Direct experiences of racism were robustly related to higher loneliness and depressive symptoms in multivariate regression models. However, the association with depressive symptoms was reduced to marginal significance when students reported low motivated fairness. Elaborating on the negative health effects of racism in primary and secondary school students provides an impetus for future research and the development of appropriate interventions.
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Although research on discrimination and health has progressed significantly, it has tended to focus on racial discrimination and US populations. This study explored different types of discrimination, their interactions and associations with common mental disorders among Brazilian university students, in Rio de Janeiro in 2010. Associations between discrimination and common mental disorders were examined using multiple logistic regression models, adjusted for confounders. Interactions between discrimination and socio-demographics were tested. Discrimination attributed to age, class and skin color/race were the most frequently reported. In a fully adjusted model, discrimination attributed to skin color/race and class were both independently associated with increased odds of common mental disorders. The simultaneous reporting of skin color/race, class and age discrimination was associated with the highest odds ratio. No significant interactions were found. Skin color/race and class discrimination were important, but their simultaneous reporting, in conjunction with age discrimination, were associated with the highest occurrence of common mental disorders.
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Background: Over the last decade, high demand for acute health care services by long-term residents of residential care facilities (RCF) has stimulated interest in exploring alternative models of care. The Residential Care Intervention Program in the Elderly (RECIPE) service provides expert outreach services to RCFs residents, interventions include: comprehensive care planning, management of intercurrent illness and rapid access to acute care substitution services.Objective: To evaluate whether the RECIPE service decreased acute health care utilisation.Design: A retrospective cohort study using interrupted time series analysis to analyse change in acute healthcare utilisation before and after enrolment.Setting: A 300 bed metropolitan teaching hospital in Australia and 73 RCF within its catchment.Subjects: There were 1327 patients enrolled in the service with a median age 84 years, 61% were female. Methods: Data was collected prospectively on all enrolled patients from 2004 to 2011 and linked to the acute health service administrative dataset. Primary outcomes change in admission rates, length of stay and beddays per quarter.Results: In the two years prior to enrolment the mean number of acute care admissions per patient per year was 3.03 (SD 2.9) versus post 2.4 (SD 3.3), the service reducing admissions by 0.13 admissions per patient per quarter (p=0.046). Prior to enrolment the mean length of stay was 8.6 (SD 11.0) versus post 3.5 (SD 5.0), a reduction of 1.5 days per patient per quarter (p=0.003). Conclusions:This study suggests that an outreach service comprising a geriatrician-led multidisciplinary team can reduce acute hospital utilisation rates.
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There is a discrepancy between the demand for mental health treatment amongst children, young people and their carers, and the capacity of the current service system to provide evidence based interventions. Innovative models of care are required to redress this discrepancy. One such model is the single session model, which provides a single or small number of solution focused sessions targeting one or two identified problems. Single session interventions have been trialled across a range of presenting concerns including child and youth mental health services. This paper provides a rationale for offering a brief focused intervention as part of a broader Child and Youth Mental Health Service, and introduces a model of how brief intervention fits within a broader system of care.
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Health care expenditure (as % of GDP) has been rising in all OECD countries over the last decades. Now, in the context of the economic downturn, there is an even more pressing need to better guarantee the sustainability of health care systems. This requires that policy makers are informed about optimal allocation of budgets. We take the Dutch mental health system in the primary care setting as an example of new ways to approach optimal allocation.
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Background: Despite the high co-morbidity of depressive symptoms in patients with multiple somatic symptoms, the validity of the 9-item Patient Health Questionnaire (PHQ-9) has not yet been investigated in Chinese patients with multiple somatic symptoms. Methods: The multicenter cross-sectional study was conducted in ten outpatient departments located in four cities in China. The psychometric properties of the PHQ-9 were examined by confirmative factor analysis (CFA). Criterion validation was undertaken by comparing results with depression diagnoses obtained from the Mini International Neuropsychiatric Interview (MINI) as the gold standard. Results: Overall, 491 patients were recruited of whom 237 had multiple somatic symptoms (SOM+ group, PHQ-15 ≥ 10). Cronbach's α of the PHQ-9 was 0.87, 0.87, and 0.90 for SOM+ patients, SOM- patients, and total sample respectively. All items and the total score were moderately correlated. The factor models of PHQ-9 tested by CFA yielded similar diagnostic performance when compared to sum score estimation. Multi-group confirmatory factor analysis based on unidimensional model showed similar psychometric properties over the groups with low and high somatic symptom burden. The optimal cut-off point to detect depression in Chinese outpatients was 10 for PHQ-9 (sensitivity=0.77, specificity=0.76) and 3 for PHQ-2 (sensitivity=0.77, specificity=0.74). Limitations: Potential selection bias and nonresponse bias with applied sampling method. Conclusions: PHQ-9 (cut-off point=10) and PHQ-2 (cut-off point=3) were reliable and valid to detect major depression in Chinese patients with multiple somatic symptoms.
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Background: Implementation of tobacco plain packaging (PP) with larger graphic health warnings (GHWs) in Australia had positive effects on responses reflecting the specific objectives of the PP policy and on follow-up quitting-related cognitions and behaviours. The aim of this study was to examine predictive relationships bewteen these proximal and distal outcomes.
Methods: A nationally representative sample of Australian adult cigarette smokers completed a baseline survey and a 1-month follow-up survey within the first year of policy implementation (n(weighted)=3215). Logistic regression analyses tested whether baseline measures of cigarette appeal, GHW effectiveness, perceived harm and concern/enjoyment predicted each of seven follow-up measures of quitted-related cognitions and behaviours, adjusting for baseline levels of the outcome and covariates.
Results: In multivariable models, we found consistent evidence that several baseline measures of GHW effectiveness positively and significantly predicted the likelihood that smokers at follow-up reported thinking about quitting at least daily, intending to quit, having a firm date to quit, stubbing out cigarettes prematurely, stopping oneself from smoking and having attempted to quit. Two of the quitting-related outcomes were also predicted by feeling more smoking-related concern than enjoyment. A smaller number of the appeal variables were prospectively associated with quitting-related outcomes, while believing that brands do not differ in harmlessness did not positively predict any outcomes.
Conclusions: These findings provide an initial insight into the pathways through which PP with larger GHWs may lead to changes in smoking behaviour. Future research should examine whether the effects are conditional on individual demographic and smoking characteristics.
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BACKGROUND: Dietary sodium and potassium are involved in the pathogenesis of cardiovascular disease. Data exploring the cardiovascular outcomes associated with these electrolytes within Australian children is sparse. Furthermore, an objective measure of sodium and potassium intake within this group is lacking. OBJECTIVE: The primary aim of the Salt and Other Nutrient Intakes in Children ("SONIC") study was to measure sodium and potassium intakes in a sample of primary schoolchildren located in Victoria, Australia, using 24-hour urine collections. Secondary aims were to identify the dietary sources of sodium and potassium, examine the association between these electrolytes and cardiovascular risk factors, and assess children's taste preferences and saltiness perception of manufactured foods. METHODS: A cross-sectional study was conducted in a convenience sample of schoolchildren attending primary schools in Victoria, Australia. Participants completed one 24-hour urine collection, which was analyzed for sodium, potassium, and creatinine. Completeness of collections was assessed using collection time, total volume, and urinary creatinine. One 24-hour dietary recall was completed to assess dietary intake. Other data collected included blood pressure, body weight, height, waist and hip circumference. Children were also presented with high and low sodium variants of food products and asked to discriminate salt level and choose their preferred variant. Parents provided demographic information and information on use of discretionary salt. Descriptive statistics will be used to describe sodium and potassium intakes. Linear and logistic regression models with clustered robust standard errors will be used to assess the association between electrolyte intake and health outcomes (blood pressure and body mass index/BMI z-score and waist circumference) and to assess differences in taste preference and discrimination between high and low sodium foods, and correlations between preference, sodium intake, and covariates. RESULTS: A total of 780 children across 43 schools participated. The results from this study are expected at the end of 2015. CONCLUSIONS: This study will provide the first objective measure of sodium and potassium intake in Australian schoolchildren and improve our understanding of the relationship of these electrolytes to cardiovascular risk factors. Furthermore, this study will provide insight into child taste preferences and explore related factors. Given the cardiovascular implications of consuming too much sodium and too little potassium, monitoring of these nutrients during childhood is an important public health initiative.