239 resultados para Quality of life indicators


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Objective
To determine health-related quality of life (HRQOL), psychological distress, physical function, and self efficacy in persons waiting for lower-limb joint replacement surgery.

Methods
A total of 214 patients on a waiting list for unilateral primary total knee or hip replacement at a large Australian public teaching hospital completed questionnaires after entry to the list. HRQOL and psychological distress were compared with available population norms.

Results
Average HRQOL was extremely poor (mean ± SD 0.39 ± 0.24) and much lower (>2 SD) than the population norm. Near death-equivalent HRQOL or worse than death-equivalent HRQOL were reported by 15% of participants. High or very high psychological distress was up to 5 times more prevalent in the waiting list sample (relative risk 5.4 for participants ages 75 years and older; 95% confidence interval 3.3, 9.0). Women had significantly lower HRQOL, self efficacy, and physical function scores than men. After adjusting for age and sex, significant socioeconomic disparities were also found. Participants who received the lowest income had the poorest HRQOL; those with the least education or the lowest income had the highest psychological distress. Low self efficacy was moderately associated with poor HRQOL (r = 0.49, P < 0.001) and more strongly associated with high psychological distress (r = -0.55, P < 0.001).

Conclusion
Patients waiting for joint replacement have very poor HRQOL and high psychological distress, especially women and those from lower socioeconomic backgrounds. Lengthy waiting lists mean patients can experience extended and potentially avoidable morbidity. Interventions to address psychological distress and self efficacy could reduce this burden and should target women and lower socioeconomic groups.

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Purpose: Older patients waiting for joint replacement surgery in many western countries experience lengthy waits for their surgery. Although these patients suffer with mobility problems the nature of the disability associated with waiting for surgery is unclear. The purpose of this study was to determine health-related quality of life and symptoms of depression in persons waiting for their initial orthopaedic consultation following referral for total knee or total hip replacement surgery.

Methods: All patients who were waiting for an initial orthopaedic consultation for lower-limb joint replacement as at 25 August 2005 were surveyed. Participants were mailed questionnaires concerning demographic information, medical history, health-related quality of life (the Assessment of Quality of Life (AQoL) instrument), and symptoms of depression (Center for Epidemiologic Studies – Depression (CES-D) Scale).

Results:
The 84 respondents (response rate 64%) had a mean age of 68.3 (SD 11.5 years), and 60% or respondents were women. Respondents reported an average of 1.6 (SD 0.9) medical conditions, and 85% reported osteoarthritis.} The average health-related quality of life was low (mean AQoL 0.38; SD 0.27), and near death-equivalent or worse than death-equivalent health-related quality of life (AQoL<0.1 of a maximum possible 1.0) was reported by 23% of the participants.The mean depression scale score was 16.5 (SD 11.1), and symptoms of depression (CES-D>16 of a maximum possible 60) were reported by 35% of the sample. There was a strong correlation between health-related quality of life and depression (r=–0.6).

Conclusions:
Almost a third of patients waiting to see an orthopaedic surgeon about joint replacement surgery for their hip or knee had symptoms of depression. Geriatric rehabilitation services often provide interventions to these patients. The very poor quality of life reported suggests that more than exercise and strengthening will be needed to reduce disability.

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Objective: The Assessment of Quality of Life (AQoL) instrument is widely used in Australian health research. To assist researchers interpret and report their work, this paper reports population and health status norms, general minimal important differences (MIDs) and effect sizes.

Method: Data from the 1998 South Australian Health Omnibus Survey (n=3,010 population-based respondents) were analysed by gender, age group and health status. Data from four other longitudinal studies were analysed to obtain estimated MIDs.

Results: The mean (SD) AQoL utility score was 0.83 (0.20). Gender and age subgroup differences were apparent; the mean scores for women were consistent until their 50s, when scores declined. Greater variability was observed for males whose scores declined more slowly but consistently between 40–80 years. For both genders, those aged 80+ years had the lowest scores When assessed by health status, those reporting excellent health obtained the highest utility scores; progressive declines were observed with decreasing health status. Effect sizes of 0.13 or greater may reflect important differences between groups A difference in AQoL scores of 0.06 utility points over time suggests a general MID.

Conclusions: AQoL population norms, MIDs and effect sizes can be used as reference points for the interpretation of AQoL data. These findings add to the growing evidence that the AQoL is a robust and sensitive measure that has wide applicability.

Implications: The availability of population norms will assist researchers using the AQoL to more easily interpret and report their work.

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Measurement of Health-Related Quality of Life (HRQoL) of the elderly requires instruments with demonstrated sensitivity, reliability, and validity, particularly with the increasing proportion of older people entering the health care system. This article reports the psychometric properties of the 12-item Assessment of Quality of Life (AQoL) instrument in chronically ill community-dwelling elderly people with an 18-month follow-up. Comparator instruments included the SF-36 and the OARS. Construct validity of the AQoL was strong when examined via factor analysis and convergent and divergent validity against other scales. Receiver Operator Characteristic (ROC) curve analyses and relative efficiency estimates indicated the AQoL is sensitive, responsive, and had the strongest predicative validity for nursing home entry. It was also sensitive to economic prediction over the follow-up. Given these robust psychometric properties and the brevity of the scale, AQoL appears to be a suitable instrument for epidemiologic studies where HRQoL and utility data are required from elderly populations.

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Abstract located in Obesity Facts: the European journal of obesity : Vol. 2 : Suppl. 2 : Abstract number :T2:PO.09