Possibilidades e limites da avaliação da qualidade de vida : análise dos instrumentos WHOQOL e modelos clássicos de qualidade de vida no trabalho = Possibilities and limits of quality of life assessment : analysis of WHOQOL instruments and quality of work life classical models

Universidade Estadual de Campinas . Faculdade de Educação Física

High levels of anxiety and depression have a negative effect on quality of life of women with chronic pelvic pain

Chronic pelvic pain (CPP) is a common and complex disease whose cause is often clinically inexplicable, with consequent difficulty in diagnosis and treatment. Patients with CPP have high levels of anxiety and depression, with a consequent impairment of their quality of life. The objective of this study was to determine the prevalence of anxiety and depression and their impact on the quality of life of women with CPP. A cross-sectional controlled study was conducted on 52 patients with CPP and 54 women without pain. Depression and anxiety were evaluated by the Hospital Anxiety and Depression Scale, and quality of life was evaluated by the World Health Organization Quality of life Whoqol-bref questionnaire. Data were analysed statistically by the Mann-Whitney U-test, the Fisher exact test, chi-square test and Spearman correlation test. The prevalence of anxiety was 73% and 37% in the CPP and control groups, respectively, and the prevalence of depression was 40% and 30% respectively. Significant differences between groups were observed in the physical, psychological and social domains. Patients with higher anxiety and depression scores present lower quality of life scores. The fact that DPC is a syndromic complex, many patients enter a chronic cycle of search for improvement of medical symptoms. The constant presence of pain may be responsible for affective changes in dynamics, family, social and sexual. Initially the person is facing the loss of a healthy body and active, to a state of dependence and limitations. In this study, patients with higher scores of anxiety and depression scores had lower quality of life and patients with lower scores of anxiety and depression had scores of quality of life. These results show that perhaps the depression and anxiety may be related to the negative impact on quality of life of these patients. In view of this association, we emphasise the importance of a specific approach to the treatment of anxiety and depression together with clinical treatment to improve the quality of life of these patients.

A longitudinal study of quality of life of elderly with mandibular implant-supported fixed prostheses

Objectives: To verify the consequences of implant-supported fixed oral rehabilitation on the quality of life (QL) of elderly individuals. Material and methods: Fifteen patients were studied, being 10 females and five males; all were aged > 60 years, were completely edentulous, wore removable dentures on both arches, and were treated with implant-supported fixed dentures. Three QL questionnaires were applied, two related to the oral conditions (Oral Impact on Daily Performance - OIDP - and Oral Health Impact Profile, short version - OHIP-14) and one dealing with global aspects (World Health Organization Quality of Life - WHOQOL-BREF), before 3, 6, and 18 months after surgical placement of implants. Results: Scores in the OIDP and OHIP-14 questionnaires were better after dental treatment. The WHOQOL-BREF was less sensitive, confirming the higher reliability of specific questionnaires (focal) compared with general questions in such situations. Conclusion: Treatment with implant-supported fixed prostheses improved QL in the elderly; these effects are better detected by specific instruments focused on the subject.

Defining quality of life for Chinese elderly stroke survivors

Purpose: This study aimed to identify the constituents and conceptual characteristics of the quality of life (QOL) of Chinese elderly stroke survivors. living in the community in Hong Kong. Method: A triangulated approach was used to identify the QOL components for this population. This process involved a comparison of QOL components gathered from three different methods, namely, focus group interviews, review of the literature and the contents of the generic Hong Kong Chinese version of the World Health Organization Quality of Life Scale (CWHOQOL-HK). Five health professionals were involved in the comparison process. A percentage of inter-judge agreement was used to determine the reliability of the comparisons made between the judges. Results: This study identified 36 components considered to contribute to the QOL of Chinese elderly stroke survivors in Hona Kong. The conceptual characteristics of their QOL generally concurred with those identified in the literature. Conclusion: Both similarities and differences were found in the QOL components identified in this study when compared to those identified in studies of Western populations who are elderly and had a stroke. The contents of the CWHOQOL-HK scale were found to lack adequacy in representing the QOL of Chinese elderly stroke survivors in Hong Kong. Recommendations are given, based on the findings of this study, to overcome this limitation for its application as a QOL measure for this population.

Factors associated to quality of life in active elderly

OBJECTIVE: To analyze whether quality of life in active, healthy elderly individuals is influenced by functional status and sociodemographic characteristics, as well as psychological parameters. METHODS: Study conducted in a sample of 120 active elderly subjects recruited from two open universities of the third age in the cities of São Paulo and São José dos Campos (Southeastern Brazil) between May 2005 and April 2006. Quality of life was measured using the abbreviated Brazilian version of the World Health Organization Quality of Live (WHOQOL-bref) questionnaire. Sociodemographic, clinical and functional variables were measured through crossculturally validated assessments by the Mini Mental State Examination, Geriatric Depression Scale, Functional Reach, One-Leg Balance Test, Timed Up and Go Test, Six-Minute Walk Test, Human Activity Profile and a complementary questionnaire. Simple descriptive analyses, Pearson's correlation coefficient, Student's t-test for non-related samples, analyses of variance, linear regression analyses and variance inflation factor were performed. The significance level for all statistical tests was set at 0.05. RESULTS: Linear regression analysis showed an independent correlation without colinearity between depressive symptoms measured by the Geriatric Depression Scale and four domains of the WHOQOL-bref. Not having a conjugal life implied greater perception in the social domain; developing leisure activities and having an income over five minimum wages implied greater perception in the environment domain. CONCLUSIONS: Functional status had no influence on the Quality of Life variable in the analysis models in active elderly. In contrast, psychological factors, as assessed by the Geriatric Depression Scale, and sociodemographic characteristics, such as marital status, income and leisure activities, had an impact on quality of life.

Cut-off point for WHOQOL-bref as a measure of quality of life of older adults

OBJECTIVE To propose a cut-off for the World Health Organization Quality of Life-Bref (WHOQOL-bref) as a predictor of quality of life in older adults. METHODS Cross-sectional study with 391 older adults registered in the Northwest Health District in Belo Horizonte, MG, Southeastern Brazil, between October 8, 2010 and May 23, 2011. The older adults’ quality of life was measured using the WHOQOL-bref. The analysis was rationalized by outlining two extreme and simultaneous groups according to perceived quality of life and satisfaction with health (quality of life good/satisfactory – good or very good self-reported quality of life and being satisfied or very satisfied with health – G5; and poor/very poor quality of life – poor or very poor self-reported quality of life and feeling dissatisfied or very dissatisfied with health – G6). A Receiver-Operating Characteristic curve (ROC) was created to assess the diagnostic ability of different cut-off points of the WHOQOL-bref. RESULTS ROC curve analysis indicated a critical value 60 as the optimal cut-off point for assessing perceived quality of life and satisfaction with health. The area under the curve was 0.758, with a sensitivity of 76.8% and specificity of 63.8% for a cut-off of ≥ 60 for overall quality of life (G5) and sensitivity 95.0% and specificity of 54.4% for a cut-off of < 60 for overall quality of life (G6). CONCLUSIONS Diagnostic interpretation of the ROC curve revealed that cut-off < 60 for overall quality of life obtained excellent sensitivity and negative predictive value for tracking older adults with probable worse quality of life and dissatisfied with health.

Quality of Life Predictors and Normative Data

This study identifies predictors and normative data for quality of life (QOL) in a sample of Portuguese adults from general population. A cross-sectional correlational study was undertaken with two hundred and fifty-five (N = 255) individuals from Portuguese general population (mean age 43 years, range 25–84 years; 148 females, 107 males). Participants completed the European Portuguese version of the World Health Organization Quality of Life short-form instrument and the European Portuguese version of the Center for Epidemiologic Studies Depression Scale. Demographic information was also collected. Portuguese adults reported their QOL as good. The physical, psychological and environmental domains predicted 44 % of the variance of QOL. The strongest predictor was the physical domain and the weakest was social relationships. Age, educational level, socioeconomic status and emotional status were significantly correlated with QOL and explained 25 % of the variance of QOL. The strongest predictor of QOL was emotional status followed by education and age. QOL was significantly different according to: marital status; living place (mainland or islands); type of cohabitants; occupation; health. The sample of adults from general Portuguese population reported high levels of QOL. The life domain that better explained QOL was the physical domain. Among other variables, emotional status best predicted QOL. Further variables influenced overall QOL. These findings inform our understanding on adults from Portuguese general population QOL and can be helpful for researchers and practitioners using this assessment tool to compare their results with normative data

21st century quality: Looking into the “Crystal ball”

The discussion of possible scenarios for the future of Quality is on the priority list of major Quality Practitioners Societies. EOQ – European Organization for Quality (EOQ, 2014) main team for its 58th EOQ-Congress held June 2014 in Göteborg was “Managing Challenges in Quality Leadership” and ASQ - American Society for Quality (ASQ, 2015) appointed “the Future of Quality” for Quality Progress Magazine November 2015 issue. In addition, the ISO 9001:2008 revision process carried by ISO/TC 176 aims to assure that ISO 9001:2015 International Standard remains stable for the next 10 years (ISO, 2014) contributing to an increased discussion on the future of quality. The purpose of this research is to review available Quality Management approaches and outline, adding an academic perspective, expected developments for Quality within the 21st Century. This paper follows a qualitative approach, although data from international organizations is used. A literature review has been undertaken on quality management past and potential future trends. Based on these findings a model is proposed for organization quality management development and propositions for the future of quality management are advanced. Firstly, a state of the art of existing Quality Management approaches is presented, for example, like Total Quality Management (TQM) and Quality Gurus, ISO 9000 International Standards Series (with an outline of the expected changes for ISO 9001:2015), Six Sigma and Business Excellence Models.Secondly, building on theoretical and managerial approaches, a two dimensional matrix – Quality Engineering (QE - technical aspects of quality) and Quality Management (QM: soft aspects of quality) - is presented, outlining five proposed characterizations of Quality maturity levels and giving insights for applications and future developments. Literature review highlights that QM and QE may be addressing similar quality issues but their approaches are different in terms of scope breadth and intensity and they ought to complement and reciprocally reinforce one another. The challenges organizations face within the 21st century have stronger uncertainty, complexity, and differentiation. Two main propositions are advanced as relevant for 21st Century Quality: - QM importance for the sustainable success of organizations will increase and they should be aware of the larger ecosystem to be managed for improvement, possibly leading to the emergence of a new Quality paradigm, The Civilizacional Excellence paradigm. - QE should get more attention from QM and the Quality professionals will have to: a) Master and apply in wider contexts and in additional depth the Quality Tools (basic, intermediate and advanced); b) Have the soft skills needed for its success; c) Be results oriented and better understand and demonstrate the relationships between approaches and results These propositions challenge both scholars and practitioners for a sustained and supported discussion on the future of Quality. “All things are ready, if our mind be so.” (Shakespeare, Henry V, circa 1599).

Quality of life of patients with hepatitis C

INTRODUCTION: Self-report on the quality of life (QOL) is increasingly studied in the evaluation of various diseases, especially in chronic ones. However, there are few data in the literature focusing the QOL of patients living with chronic hepatitis C. The objective of this study was to evaluate the QOL in patients with hepatitis C assessed by the World Health Organization Quality of Life Assessment (WHOQOL)-bref scale. METHODS: One hundred and eight hepatitis C patients attending the Outpatient Healthcare Medical Specialties in Tubarão, State of Santa Catarina, Brazil, were contacted from May 2010 to February 2011. Patients answered the WHOQOL-bref scale and a questionnaire about their treatment and risk factors to hepatitis C virus (VHC) infection. RESULTS: Although most of patients with chronic hepatitis C considered their QoL good or very good (58.1%), 47 (44.8%) patients were poorly or very poorly satisfied with their health. About the WHOQOL answers, the environment domain had the highest score (25.15 + 5.77), while the lowest score was the social relationships domain (9.19 + 2.5). There was statistically significant association between household income and quality of life in all domains (p<0.001) and statistically significant association between education and the physical, psychological and social domains of quality of life (p<0.05). CONCLUSIONS: Based on the answers given in WHOQOL-bref, patients with chronic hepatitis C have a generally poor QOL, especially in social relationship domain. Household income and educational level were factors that interfered significantly with patients' QOL assessment.

Personality, psychosocial and health-related predictors of quality of life in old age.

OBJECTIVES: Beyond its well-documented association with depressive symptoms across the lifespan, at an individual level, quality of life may be determined by multiple factors: psychosocial characteristics, current physical health and long-term personality traits. METHOD: Quality of life was assessed in two distinct community-based age groups (89 young adults aged 36.2 ± 6.3 and 92 older adults aged 70.4 ± 5.5 years), each group equally including adults with and without acute depressive symptoms. Regression models were applied to explore the association between quality of life assessed with the World Health Organization Quality of Life - Bref (WHOQOL-Bref) and depression severity, education, social support, physical illness, as well as personality dimensions as defined by the Five-Factor Model. RESULTS: In young age, higher quality of life was uniquely associated with lower severity of depressive symptoms. In contrast, in old age, higher quality of life was related to both lower levels of depressive mood and of physical illness. In this age group, a positive association was also found between quality of life and higher levels of Openness to experience and Agreeableness personality dimensions. CONCLUSION: Our data indicated that, in contrast to young cohorts, where acute depression is the main determinant of poor quality of life, physical illness and personality dimensions represent additional independent predictors of this variable in old age. This observation points to the need for concomitant consideration of physical and psychological determinants of quality of life in old age.

Quality assurance mechanisms in agrifood: The case of the Spanish fresh meat sector

The largest fresh meat brand names in Spain are analyzed here to studyhow quality is signaled in agribusiness and how the underlying quality-assurance organizations work. Results show, first, that organizationalform varies according to the specialization of the brand name.Publicly-controlled brand names are grounded on market contracting withindividual producers, providing stronger incentives. In contrast,private brands rely more on hierarchy, taking advantage of itssuperiority in solving specific coordination problems. Second, theseemingly redundant coexistence of several quality indicators for agiven product is explained in efficiency terms. Multiple brands areshown to be complementary, given their specialization in guaranteeingdifferent attributes of the product.

How many diagnosis fields are needed to capture safety events in administrative data? Findings and recommendations from the WHO ICD-11 Topic Advisory Group on Quality and Safety

OBJECTIVE: As part of the WHO ICD-11 development initiative, the Topic Advisory Group on Quality and Safety explores meta-features of morbidity data sets, such as the optimal number of secondary diagnosis fields. DESIGN: The Health Care Quality Indicators Project of the Organization for Economic Co-Operation and Development collected Patient Safety Indicator (PSI) information from administrative hospital data of 19-20 countries in 2009 and 2011. We investigated whether three countries that expanded their data systems to include more secondary diagnosis fields showed increased PSI rates compared with six countries that did not. Furthermore, administrative hospital data from six of these countries and two American states, California (2011) and Florida (2010), were analysed for distributions of coded patient safety events across diagnosis fields. RESULTS: Among the participating countries, increasing the number of diagnosis fields was not associated with any overall increase in PSI rates. However, high proportions of PSI-related diagnoses appeared beyond the sixth secondary diagnosis field. The distribution of three PSI-related ICD codes was similar in California and Florida: 89-90% of central venous catheter infections and 97-99% of retained foreign bodies and accidental punctures or lacerations were captured within 15 secondary diagnosis fields. CONCLUSIONS: Six to nine secondary diagnosis fields are inadequate for comparing complication rates using hospital administrative data; at least 15 (and perhaps more with ICD-11) are recommended to fully characterize clinical outcomes. Increasing the number of fields should improve the international and intra-national comparability of data for epidemiologic and health services research, utilization analyses and quality of care assessment.

Fatigue and quality of life in breast cancer survivors: a comparative study

PURPOSE: To assess fatigue and quality of life in disease-free breast cancer survivors in relation to a sample of age-matched women with no cancer history and to explore the relationship between fatigue and quality of life.METHODS: A cross-sectional study was conducted in a sample of 202 consecutive disease-free Brazilian breast cancer survivors, all of whom had completed treatment, treated at 2 large hospitals. The patients were compared to age-matched women with no cancer history attending a primary health care center. The Piper Fatigue Scale-Revised and the World Health Organization Quality of Life Instrument (WHOQOL-BREF) were used to measure the fatigue and quality of life, respectively. Socio-demographic and clinical variables were also obtained. The χ2 test, generalized linear model, and Spearman correlation coefficient were used for statistical purposes. The adopted level of significance was 5%.RESULTS: Breast cancer survivors experienced significantly greater total and subscale fatigue scores than comparison group (all p-values<0.05). In addition, survivors reported a poorer quality of life in physical (p=0.002), psychological (p=0.03), and social relationships (p=0.03) domains than comparison group. No difference was found for the environmental domain (p=0.08) for both groups. For survivors of breast cancer and for comparison group, the total and subscale fatigue scores were related to lower quality of life (all p-values<0.01).CONCLUSION: The findings of this study highlight the importance of assessing fatigue and quality of life in breast cancer survivors.

Dyadic Relationship and Quality of Life Patients with Chronic Kidney Disease

AbstractIintroduction:Chronic Renal insufficiency (CRI) and dialysis treatment lead to a succession of situations for kidney chronic patient, which compromises his aspect, not only physically, and psychologically, with personal, family and social repercussions.Objective:(1) to verify the existence of differences of dyadic adjustment (DA) according to renal replacement treatment (RRT) and (2) verify the existence of differences quality of life (QOL) in accordance with the RRT.Methods:This is a cross-sectional study of a descriptive nature through surveys, exploratory and correlational. The sample consisted of 125 participants. Of these, 31 were to be made RRT by automated peritoneal dialysis (APD) and 94 hemodialysis (HD). Participants were selected from three renal centers: (1) Centro Renal da Prelada (Porto, Portugal), (2) Centrodial (S. João da Madeira, Portugal) and Centro Renal da Misericórdia de Paredes (Paredes, Portugal). The study was carried out for 6 months. The following instruments were applied: Socio-demographic and clinical questionnaire (SDCQ), Dyadic Adjustment Scale (DAS), World Health Organization Quality of Life (WHOQOL-Bref).Results:The results demonstrate the existence of statistically significant differences between the type of RRT and most areas of QOL, as well as the existence of statistically significant differences between the subscales of the DAS evaluated and the type of RRT.Conclusion:The present study demonstrates a greater commitment in terms of QOL of individuals undergoing treatment for HD when compared with those subjected to APD. It turns out, also, that DA is most strongly perceived by patients in APD than with HD.

Quality of life and its association with cardiovascular risk factors in a community health care program population

OBJECTIVE: To evaluate quality of life in a population that attended a specific community event on health care education, and to investigate the association of their quality of life with the presence of cardiovascular risk factors INTRODUCTION: Interest in health-related quality of life is growing worldwide as a consequence of increasing rates of chronic disease. However, little is known about the association between quality of life and cardiovascular risk factors. METHODS: This study included 332 individuals. Demographics, blood pressure, body mass index, and casual glycemia were evaluated. The brief version of the World Health Organization Quality of Life questionnaire on quality of life was given to them. The medians of the scores obtained for the physical, psychological, emotional, and environmental domains were used as cutoffs to define higher and lower scores. A multinomial logistic regression model was used to define the parameters associated with lower scores. RESULTS: Diabetes mellitus, dyslipidemia, and obesity were associated with lower scores in the physical domain. Dyslipidemia was also associeted with lower scores in the psychological domain. Male gender and regular physical activity had protective effects on quality of life. Aging was inversely associated with decreased quality of life in the environmental domain. CONCLUSION: The presence of cardiovascular risk factors is related to a decreased quality of life. Conversely, male gender and regular physical activity had protective effects on quality of life. These findings suggest that exercising should be further promoted by health-related public programs, with a special focus on women.