41 resultados para SELF-RATED HEALTH


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It is often assumed that membership in a stigmatized group has negative consequences for the self-concept. However, this relationship is neither straightforward nor inevitable, and there is evidence suggesting that negative consequences may not necessarily occur (Psychol. Rev. 96(4) (1989) 608). This paper argues that the relationship has not been sufficiently theorized, and that a more detailed analysis is called for in order to understand the relationship between stigma and the self. The paper presents a critical examination of modified labeling theory (Am. Sociol. Rev. 52 (1987) 96), with examples from a study examining perceptions of stigma and their relationship to self-evaluation in women with chronic mental health problems. Open-ended interviews and qualitative analyses were used in preference to global measures of self-esteem. It was found that although the women were aware of society's unfavorable representations of mental illness, and the effects this had on their lives, they did not accept these representations as valid and therefore rejected them as applicable to the self. The participants did not deny their mental health problems, but their acceptance of labels was critical and pragmatic. Labels were rejected when they were perceived as carrying an unrealistic and negative stereotype, or when the women felt that their symptoms did not fit with the diagnostic criteria. The research illustrates the importance of considering people's subjective understandings of stigmatized conditions and societal reactions in order to understand the relation between stigma and the self. (C) 2002 Elsevier Science Ltd. All rights reserved.

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Objective: To determine the organizational predictors of higher scores on team climate measures as an indicator of the functioning of a family health team (FHT). Design: Cross-sectional study using a mailed survey. Setting: Family health teams in Ontario. Participants: Twenty-one of 144 consecutively approached FHTs; 628 team members were surveyed. Main outcome measures: Scores on the team climate inventory, which assessed organizational culture type (group, developmental, rational, or hierarchical); leadership perceptions; and organizational factors, such as use of electronic medical records (EMRs), team composition, governance of the FHT, location, meetings, and time since FHT initiation. All analyses were adjusted for clustering of respondents within the FHT using a mixed random-intercepts model. Results: The response rate was 65.8% (413 of 628); 2 were excluded from analysis, for a total of 411 participants. At the time of survey completion, there was a median of 4 physicians, 11 other health professionals, and 4 management and clerical staff per FHT. The average team climate score was 3.8 out of a possible 5. In multivariable regression analysis, leadership score, group and developmental culture types, and use of more EMR capabilities were associated with higher team climate scores. Other organizational factors, such as number of sites and size of group, were not associated with the team climate score. Conclusion: Culture, leadership, and EMR functionality, rather than organizational composition of the teams (eg, number of professionals on staff, practice size), were the most important factors in predicting climate in primary care teams.

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Objective: Several surveillance definitions of influenza-like illness (ILI) have been proposed, based on the presence of symptoms. Symptom data can be obtained from patients, medical records, or both. Past research has found that agreements between health record data and self-report are variable depending on the specific symptom. Therefore, we aimed to explore the implications of using data on influenza symptoms extracted from medical records, similar data collected prospectively from outpatients, and the combined data from both sources as predictors of laboratory-confirmed influenza. Methods: Using data from the Hutterite Influenza Prevention Study, we calculated: 1) the sensitivity, specificity and predictive values of individual symptoms within surveillance definitions; 2) how frequently surveillance definitions correlated to laboratory-confirmed influenza; and 3) the predictive value of surveillance definitions. Results: Of the 176 participants with reports from participants and medical records, 142 (81%) were tested for influenza and 37 (26%) were PCR positive for influenza. Fever (alone) and fever combined with cough and/or sore throat were highly correlated with being PCR positive for influenza for all data sources. ILI surveillance definitions, based on symptom data from medical records only or from both medical records and self-report, were better predictors of laboratory-confirmed influenza with higher odds ratios and positive predictive values. Discussion: The choice of data source to determine ILI will depend on the patient population, outcome of interest, availability of data source, and use for clinical decision making, research, or surveillance. © Canadian Public Health Association, 2012.

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OBJECTIVE: Cancer survivors (CSs) are at risk of developing late effects (LEs) associated with the disease and its treatment. This paper compares the health status, care needs and use of health services by CSs with LEs and CSs without LEs.

METHODS: Cancer survivors (n = 613) were identified via the Northern Ireland Cancer Registry and invited to participate in a postal survey that was administered by their general practitioner. The survey assessed self-reported LEs, health status, health service use and unmet care needs. A total of 289 (47%) CSs responded to the survey, and 93% of respondents completed a LEs scale.

RESULTS: Forty-one per cent (111/269) of CSs reported LEs. Survivors without LEs and survivors with LEs were comparable in terms of age and gender. The LEs group reported a significantly greater number of co-morbidities, lower physical health and mental health scores, greater overall health service use and more unmet needs. Unadjusted logistic regression analysis found that cancer site, time since diagnosis and treatment were significantly associated with reporting of LEs. CSs who received combination therapies compared with CSs who received single treatments were over two and a half times more likely to report LEs (OR = 2.63, 95% CI = 1.32-5.25) after controlling for all other variables.

CONCLUSIONS: The CS population with LEs comprises a particularly vulnerable group of survivors who have multiple health care problems and needs and who require tailored care plans that take account of LEs and their impact on health-related quality of life.

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Purpose of the research
To investigate the prevalence and nature of unmet needs among colorectal cancer (CRC) survivors and the relationship between needs and quality of life (QoL).

Methods and sample
Using the Northern Ireland Cancer Registry (NICR) as a sampling frame and working in collaboration with primary care physicians or GPs, the Cancer Survivors Unmet Needs (CaSUN) questionnaire and the Quality of Life in Adult Cancer Survivors Scale (QLACS) were posted to a randomly selected sample of 600 CRC survivors.

Key results
Approximately 69% (413/600) met eligibility criteria for participating in the study; and 30% (124/413) responded to the survey. A comparative analysis of NICR data between respondents and non-respondents did not indicate any systematic bias except that respondents appeared to be younger (65 years vs. 67 years). Approximately 60% of respondents reported having no unmet needs, with 40% reporting one or more unmet health and social care needs such as fear of recurrence, information needs, difficulty obtaining travel insurance and car parking problems. QoL was significantly lower for CRC survivors who reported an unmet need. Highest scores (poorer QoL) were reported for fatigue, welfare benefits and distress recurrence.

Conclusions
Overall, the majority of CRC survivors who had care needs appeared to have needs that were mainly psychosocial in nature and these unmet needs were related to poorer QoL.