Outcomes for elderly patients with mental illness following relocation from a stand-alone psychiatric hospital to community-based extended care units

Objective: To assess the outcomes for a group of elderly patients with mental illness following their discharge from a stand-alone psychiatric facility to seven extended care units (ECUs). Method: All patients (n = 60) who were relocated to the ECUs were assessed using a number of standardized clinical and general functioning instruments at 6 months and 6 weeks pre-move, and again at 6 weeks, 6 months and 18 months post-move. Results: By 18 months post-discharge, 13 of the 60 patients (21.7%) had died and seven others had been transferred to nursing homes. Those who died were older and had significantly higher levels of physical ill health when compared to those who did not die. Changes on measures of clinical and behavioural functioning in those who remained in the study did not reach statistical significance by 18 months post-move. However, participants did demonstrate improvements in quality of life with significantly higher scores on measures of social contact and community access. Conclusions: The mortality observed in the follow-up period is likely to be related to physical ill health and old age rather than the trauma associated with relocation. While overall functioning did not improve following relocation, patients had more independence and greater access to community-based activities.

Evaluation of clinically relevant changes in patient reported outcomes in knee and hip osteoarthritis: the minimal clinically important improvement

Background: In clinical trials, at the group level, results are usually reported as mean and standard deviation of the change in score, which is not meaningful for most readers. Objective: To determine the minimal clinically important improvement (MCII) of pain, patient's global assessment of disease activity, and functional impairment in patients with knee and hip osteoarthritis (OA). Methods: A prospective multicentre 4 week cohort study involving 1362 outpatients with knee or hip OA was carried out. Data on assessment of pain and patient's global assessment, measured on visual analogue scales, and functional impairment, measured on the Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) function subscale, were collected at baseline and final visits. Patients assessed their response to treatment on a five point Likert scale at the final visit. An anchoring method based on the patient's opinion was used. The MCII was estimated in a subgroup of 814 patients ( 603 with knee OA, 211 with hip OA). Results: For knee and hip OA, MCII for absolute ( and relative) changes were, respectively, ( a) -19.9 mm (-40.8%) and -15.3 mm (-32.0%) for pain; ( b) -18.3 mm ( - 39.0%) and -15.2 mm ( -32.6%) for patient's global assessment; ( c) -9.1 ( -26.0%) and -7.9 ( -21.1%) for WOMAC function subscale score. The MCII is affected by the initial degree of severity of the symptoms but not by age, disease duration, or sex. Conclusion: Using criteria such as MCII in clinical trials would provide meaningful information which would help in interpreting the results by expressing them as a proportion of improved patients.

Evaluation of clinically relevant states in patient reported outcomes in knee and hip osteoarthritis: the patient acceptable symptom state

Background: The patient acceptable symptom state ( PASS) is the value beyond which patients can consider themselves well. This concept can help in interpreting results of clinical trials. Objective: To determine the PASS estimate for patients with knee and hip osteoarthritis (OA) by assessing pain, patient's global assessment of disease activity, and functional impairment. Methods: A 4 week prospective multicentre cohort study of 1362 outpatients with knee or hip OA was carried out. Data on assessment of pain and patient's global assessment of disease, measured on visual analogue scales, and functional impairment, measured on the Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) function subscale, were collected at baseline and final visits. The patients assessed their satisfaction with their current state at the final visit. An anchoring method based on the patient's opinion was used. Results: For patients with knee and hip OA, the estimates of PASS were, respectively, 32.3 and 35.0 mm for pain, 32.0 and 34.6 mm for patient global assessment of disease activity, and 31.0 and 34.4 points for WOMAC function score. The PASS varied moderately across the tertiles of baseline scores but not across age, disease duration, or sex. Conclusion: The use of PASS in clinical trials would provide more meaningful results expressed as a proportion of patients in an acceptable symptom state.

A comparison of the association between socioeconomic position and cardiovascular disease risk factors in three age cohorts of Australian women: findings from the Australian Longitudinal Study on Women's Health

Objectives To assess the associations between three measurements of socioeconomic position (SEP) - education, occupation and ability to cope on available income - and cardiovascular risk factors in three age cohorts of Australian women. Methods Cross-sectional analysis of three cohorts of Australian women aged 18-23, 45-50 and 70-75 years. Results In general, for all exposures and in all three cohorts, the odds of each adverse risk factor (smoking, obesity and physical inactivity) were lower in the most advantaged compared with the least advantaged. Within each of the three cohorts, the effects of each measurement of SEP on the outcomes were similar. There were, however, some notable between-cohort differences. The most marked differences were those with smoking. For women aged 70-75 (older), those with the highest educational attainment were more likely to have ever smoked than those with the lowest level of attainment. However, for the other two cohorts, this association was reversed, with a stronger association between low levels of education and ever smoking among those aged 18-23 (younger) than those aged 45-50 (mid-age). Similarly, for older women, those in the most skilled occupational classes were most likely to have ever smoked, with opposite findings for mid-age women. Education was also differently associated with physical inactivity across the three cohorts. Older women who were most educated were least likely to be physically inactive, whereas among the younger and mid-age cohorts there was little or no effect of education on physical inactivity. Conclusion These findings demonstrate the dynamic nature of the association between SEP and some health outcomes. Our findings do not appear to confirm previous suggestions that prestige-based measurements of SEP are more strongly associated with health-related behaviours than measurements that reflect material and psychosocial resources.

Patient self-efficacy and health locus of control: relationships with health status and arthritis-related expenditure

Objective. To explore the relationship between measures of self-efficacy, health locus of control, health status and direct medical expenditure among community-dwelling subjects with rheumatoid arthritis (RA) and osteoarthritis (OA). Methods. This analysis is part of a larger ongoing study of the costs and outcomes of arthritis and its treatments. Community-dwelling RA and OA respondents completed questionnaires concerning arthritis-related expenditure, health status, arthritis related self-efficacy and health locus of control. Results. Data were obtained from 70 RA respondents and 223 OA respondents. The majority of respondents were female with a mean age of 63 yr for RA respondents and 68 yr for OA respondents. Among the RA respondents, those with higher self-efficacy reported better health status and lower overall costs. Health locus of control was not consistently correlated with health status. OA respondents with higher self-efficacy reported better health status and lower costs. Health locus of control had more influence. OA respondents with higher external locus of control reported worse pain and function. A higher belief in chance as a determinant of health was correlated with more visits to general practitioners and a higher cost to both the respondent and the health system. Conclusion. Higher self-efficacy, which is amenable to change through education programmes, was associated with better health status and lower costs to the respondent and the health system in this cross-sectional study. Locus of control had less of an influence; however, the tendency was for those with higher external locus of control to have higher costs and worse health status. As the measurement of these constructs is simple and the outcome potentially affects health status, these results have implications for future intervention studies to improve quality of life and reduce the financial impact of arthritis on both the health-care system and patients.

Development and evaluation of a youth mental health community awareness campaign - The Compass Strategy

Background: Early detection and treatment of mental disorders in adolescents and young adults can lead to better health outcomes. Mental health literacy is a key to early recognition and help seeking. Whilst a number of population health initiatives have attempted to improve mental health literacy, none to date have specifically targeted young people nor have they applied the rigorous standards of population health models now accepted as best practice in other health areas. This paper describes the outcomes from the application of a health promotion model to the development, implementation and evaluation of a community awareness campaign designed to improve mental health literacy and early help seeking amongst young people. Method: The Compass Strategy was implemented in the western metropolitan Melbourne and Barwon regions of Victoria, Australia. The Precede-Proceed Model guided the population assessment, campaign strategy development and evaluation. The campaign included the use of multimedia, a website, and an information telephone service. Multiple levels of evaluation were conducted. This included a cross-sectional telephone survey of mental health literacy undertaken before and after 14 months of the campaign using a quasi-experimental design. Randomly selected independent samples of 600 young people aged 12 - 25 years from the experimental region and another 600 from a comparison region were interviewed at each time point. A series of binary logistic regression analyses were used to measure the association between a range of campaign outcome variables and the predictor variables of region and time. Results: The program was judged to have an impact on the following variables, as indicated by significant region-by-time interaction effects ( p < 0.05): awareness of mental health campaigns, self-identified depression, help for depression sought in the previous year, correct estimate of prevalence of mental health problems, increased awareness of suicide risk, and a reduction in perceived barriers to help seeking. These effects may be underestimated because media distribution error resulted in a small amount of print material leaking into the comparison region. Conclusion: We believe this is the first study to apply the rigorous standards of a health promotion model including the use of a control region to a mental health population intervention. The program achieved many of its aims despite the relatively short duration and moderate intensity of the campaign.

Mental health literacy in rural Queensland: results of a community survey

Objectives: The aim of this study was to assess the awareness of, and attitudes to, mental health issues in rural dwelling Queensland residents. A secondary objective was to provide baseline data of mental health literacy prior to the implementation of Australian Integrated Mental Health Initiative - a health promotion strategy aimed at improving the health outcomes of people with chronic or recurring mental disorders. Method: In 2004 a random sample of 2% (2132) of the estimated adult population in each of eight towns in rural Queensland was sent a postal survey and invited to participate in the project. A series of questions were asked based on a vignette describing a person suffering major depression. In addition, questions assessed respondents' awareness and perceptions of community mental health agencies. Results: Approximately one-third (36%) of those surveyed completed and returned the questionnaire. While a higher proportion of respondents (81%) correctly identified and labelled the problem in the vignette as depression than previously reported in Australian community surveys, the majority of respondents (66%) underestimated the prevalence of mental health problems in the community. Furthermore, a substantial number of respondents (37%) were unaware of agencies in their community to assist people with mental health issues while a majority of respondents (57.6%) considered that the services offered by those agencies were poor. Conclusion: While mental health literacy in rural Queensland appears to be comparable to other Australian regions, several gaps in knowledge were identified. This is in spite of recent widespread coverage of depression in the media and thus, there is a continuing need for mental health education in rural Queensland.

Successful mental health aging: Results from a longitudinal study of older Australian men

Objective: The authors investigated the associations of medical and lifestyle factors with the mental health of men in their 80s. Methods: This was a prospective study of a community-representative cohort of older men. Successful mental health aging was defined as reaching age 80 years with Mini-Mental State Examination score (MMSE) of 24 or more and Geriatric Depression Scale-15 items (GDS-15) score of 5 or less. Results: Of 601 men followed for 4.8 years, 76.0% enjoyed successful mental health aging. Successful mental health aging was inversely associated with age (hazard ratio [HR] = 0.87; 95% confidence interval [CI]: 0.81 - 0.94), non-English-speaking background (HR = 0.42; 95% CI: 0.21 - 0.85), and the consumption of full-cream milk (HR = 0.63; 95% CI: 0.45 - 0.89), and directly associated with high school or university education (HR = 1.92; 95% CI: 1.34 - 2.75) and vigorous (HR = 1.89; 95% CI: 1.17 - 3.05) and nonvigorous physical activity (HR = 1.50; 95% CI: 1.05 - 2.14). Marital status, smoking and alcohol use, weekly consumption of meat or fish, and a medical history of hypercholesterolemia, hypertension, diabetes, myocardial infarction, and stroke were not associated with mental health outcomes in men aged 80 years or over. Conclusion: Three in four men who reach age 80 years undergo successful mental health aging. Factors associated with successful mental health aging include education and lifestyle behaviors such as physical activity. Lifestyle modification by means of increasing physical activity and reducing saturated fat intake may prove to be a safe, inexpensive, and readily available strategy to help maximize the successful mental health aging of the population.

Using epidemiological models to estimate the health effects of diet behaviour change: the example of tailored fruit and vegetable promotion

Objective: To explore the use of epidemiological modelling for the estimation of health effects of behaviour change interventions, using the example of computer-tailored nutrition education aimed at fruit and vegetable consumption in The Netherlands. Design: The effects of the intervention on changes in consumption were obtained from an earlier evaluation study. The effect on health outcomes was estimated using an epidemiological multi-state life table model. input data for the model consisted of relative risk estimates for cardiovascular disease and cancers, data on disease occurrence and mortality, and survey data on the consumption of fruits and vegetables. Results: if the computer-tailored nutrition education reached the entire adult population and the effects were sustained, it could result in a mortality decrease of 0.4 to 0.7% and save 72 to 115 life-years per 100000 persons aged 25 years or older. Healthy life expectancy is estimated to increase by 32.7 days for men and 25.3 days for women. The true effect is likely to lie between this theoretical maximum and zero effect, depending mostly on durability of behaviour change and reach of the intervention. Conclusion: Epidemiological models can be used to estimate the health impact of health promotion interventions.