The aims of the study were to compare the dimensions of oral-health-related quality-of-life measured by a generic health state measure, the EuroQol, and a specific oral health measure, the Oral Health Impact Profile.
Data were collected in 2001–02 from a random sample of South Australian dentists using mailed self-complete questionnaires. Dentists recorded the diagnosis of dental problems and provided patients with self-complete questionnaires to record the nature, severity and duration of symptoms using the EuroQol (EQ-5D+) and 14-item version of the Oral Health Impact Profile (OHIP-14) instruments.
Data were available from 375 patients (response rate = 72%). The EuroQol items of mobility, self care and usual activities formed a separate cluster of variables, as did anxiety/depression and cognition, while pain clustered with items from the OHIP physical pain subscale. OHIP items tended to form clusters consistent with the subscales of social disability, physical disability, physical pain, functional limitation and psychological discomfort. The OHIP handicap items clustered between the OHIP social disability and physical disability subscales. The OHIP psychological disability items split between the social disability and psychological discomfort subscales.
The observed clusters of variables empirically supported most of the conceptual dimensions of the OHIP. Both instruments covered symptom experience of pain indicating overlapping domains. However there was partial separation of the generic and specific items, EuroQol covered daily activities such as self-care and usual activities and OHIP covered oral health-specific aspects of functional limitation and physical disability as well as psychological and social aspects of disability and handicap.
Index measures for health-related quality of life (HRQoL) quantify the desirability (utility) of a certain health state. The commonly used generic index measure, e.g. EuroQol: EQ-5D, may underestimate relevant areas of specific diseases, resulting in lower validity. Disease-specific index measures on the other hand combine disease-specificity and quantification of perceived quality on several health domains of a certain disease into one single figure. These instruments have been developed for several diseases, but a dementia-specific HRQoL index instrument was not yet available. Facing the increasing individual and societal burden of dementia, specific HRQoL values with metric characteristics are especially useful because they will provide vital information for health outcome research and economic evaluations.
Aims of the study
To develop and validate the prototype of a dementia-specific HRQoL index measure: Dementia Quality of life Instrument (DQI), as the first step towards valuation of the dementia health state.
For development of the DQI we created a conceptual framework based on a review of the literature, qualitative interviews with people with dementia and their carers, expert opinion and team discussion. To assess validity we undertook a survey under 241 dementia professionals. Measurements consisted of ranking (1–5) and rating (1–10) of 5 dementia-specific DQI domains (memory, orientation, independence, social activities and mood) and simultaneously rating of 9 DQI-derived health states on a visual analogue scale (VAS). We also performed a cross-sectional study in a large sample of people with very mild to moderate dementia and their caregivers (N = 145) to assess feasibility and concurrent validity. In addition, caregivers valued 10 DQI and 10 EQ-5D + C derived health states of the patient simultaneously on the same VAS. Setting: outpatient clinics, nursing homes and patient residences.
All professionals judged the selected DQI domains to be relevant. Differences in ranking and rating behaviors were small. Mood was ranked (≥3.3) and rated (≥8.2) as most, orientation as least important (rank ≤2.6, value 7.5) health domain for dementia. For the validation part of this study the completion rates for all domains were above 98% for patients and 100% for caregivers on patients. A priori hypothesized DQI versus QOL-AD correlations that were significant in both patients and caregivers were: memory/memory, orientation/memory, independence/physical health, social activities/energy and mood/mood. Patient/caregiver inter-rater agreement was low (K < 0.2) for memory/independence, fair (K 0.2-0.4) for orientation/mood, and moderate (K 0.4-0.6) for social activities. Concurrent validity of the DQI with the EQ-5D + C was moderate. The fact that most of the correlations between the domains of these two instruments were low (≤0.40) showed that both instruments measure different elements of health status. As expected, modest correlations (≥0.40) were observed between corresponding domains of the two instruments.
Professionals judged all domains as relevant. The DQI prototype proved valid and feasible for patients and caregivers and is appropriate for very mild to moderate dementia. The differences in concurrent correlations with generic health status instruments imply that the dementia-specific DQI health domains indeed provide different information. The finding that patient HRQoL measured with the DQI was lower supports this notion. The new DQI shows comparable psychometric properties to the best available dementia-specific (QOL-AD) and generic (EQ-5D + C) measures. Further research is needed to generate values in the general population for each of the possible DQI states and to derive an algorithm that converts the 5 separate DQI domain scores into one single DQI Index score. Introducing the DQI Index will advance dementia-related HRQoL measurement by overcoming the shortcomings of generic and non-index instruments. This will allow more unequivocal interpretation of subjective dementia HRQoL states in dementia research.
Dementia; Health-related quality of life; Dementia Quality of life Instrument (DQI); Disease-specific index instrument; Cost-effectiveness
A “utility” is a measure of health-related quality of life (HRQOL) that ranges between 0 (death) and 1 (perfect health). Disease-targeted utilities are mandatory to conduct cost–utility analyses. Given the economic and healthcare burden of irritable bowel syndrome (IBS), cost–utility analyses will play an important role in guiding health economic decision-making. To inform future cost–utility analyses in IBS, we measured and validated the IBS utilities.
We analyzed data from Rome III IBS patients in the Patient Reported Observed Outcomes and Function (PROOF) Cohort—a longitudinal multi-center IBS registry. At entry, the patients completed a multi-attribute utility instrument (EuroQOL), bowel symptom items, IBS severity measurements (IBS Severity Scale (IBSSS), Functional Bowel Disease Severity Index (FBDSI)), HRQOL indexes (IBS quality-of-life instrument (IBS-QOL), Center for disease control-4 (CDC-4)), and the Worker Productivity Activity Index for IBS (WPAI). We repeated assessments at 3 months.
There were 257 patients (79% women; age = 43±15 years) at baseline and 85 at 3 months. The mean utilities in patients with severe vs. non-severe IBS were 0.70 and 0.80, respectively (P < 0.001). There were no differences in utilities among IBS with constipation (IBS-C), IBS with diarrhea (IBS-D), and mixed IBS (IBS-M) subgroups. EuroQOL utilities correlated with FBDSI (r = 0.31; P < 0.01), IBSSS (r = 0.36; P < 0.01), IBS-QOL (r = 0.36; P < 0.01), CDC-4 (r = 0.44; P < 0.01), WPAI presenteeism (r = 0.16; P < 0.01), abdominal pain (r = 0.43; P < 0.01), and distension (r = 0.18; P = 0.01). The utilities in patients reporting “considerable relief” of symptoms at 3 months vs. those without considerable relief were 0.78 and 0.73, respectively (P = 0.02).
EuroQOL utilities are valid and reliable in IBS. The utility of severe IBS (0.7) is similar to Class III congestive heart failure and rheumatoid arthritis. These validated utilities can be employed in future IBS cost–utility analyses.
Compare differences in health-related quality of life among blacks and whites to examine if race, diabetes, and visual impairment (VI) present a triple disadvantage in terms of quality-adjusted life expectancy.
RESEARCH DESIGN AND METHODS
Data were analyzed from the 2000–2003 Medical Expenditure Panel Survey, a nationally representative survey that contains the EuroQol 5D (EQ-5D). The EQ-5D generates health utility values that provide a measure of the morbidity associated with various health states, such as having moderate or severe problems with mobility. The EQ-5D score can be linked with life expectancy data to calculate quality-adjusted life-years (QALYs), the number of years of optimal health an individual is expected to live. Multivariate analyses were conducted to estimate and compare differences in QALYs by diabetes status, VI status, and race.
Whites had a higher quality-adjusted life expectancy across all diabetes/VI comparisons. Overall, blacks with diabetes and VI had the fewest number of QALYs remaining (19.6 years), and whites with no impairment had the greatest number of QALYs remaining (31.6 years). Blacks with diabetes only had 1.7 fewer years of optimal health (fewer QALYs) than whites with diabetes. Within individuals with both diabetes and VI, however, this gap more than doubled, with blacks experiencing 3.5 fewer QALYs than whites.
Although efforts to target and reduce racial health disparities associated with diabetes appear to be effective, black communities may be contributing to a greater overall burden of illness given poorer infrastructure and less accommodation for disabilities such as VI.
The oral health-related quality of life indicators are increasingly used to measure the impact of the oral conditions on quality of life. One of the most used indicators is the Oral Health Impact Profile (OHIP-14), but it has never been applied in Iran. The aim of this study was to validate the usage of OHIP-14 among Iranians.
A cross-sectional study was performed in Kerman (Iran). A consecutive sample (n= 400) of the Kerman Dental School Clinics attending patients participated in this study. All participants self-completed the translated OHIP-14. Reliability analyses, validity tests, and responsiveness were carried out to evaluate the psychometric properties of the OHIP-14.
The reliability coefficient (Cronbach’s alpha) of the OHIP-14 was above the recommended 0.7 threshold and considered excellent (alpha: 0.85). The coefficient of the test-retest reliability measured by ICC was 0.88 (CI 95%: 0.80–0.93). Poorer oral condition was strongly associated with OHIP scores of the patients, supporting construct validity. Moreover, for evaluation of responsiveness, the ES was measured to be 0.43 and the SRM was 0.67.
The Persian version of OHIP-14 is a precise, valid and reliable instrument for assessing oral health-related quality of life among Persian population.
Oral health; Quality of life; Validity; Iran
Australian burden of disease estimates appeared inconsistent with the reported repetitive and ubiquitous nature of dental problems. The aims of the study were to measure the nature, severity and duration of symptoms for specific oral conditions, and calculate disability weights from these measures.
Data were collected in 2001–02 from a random sample of South Australian dentists using mailed self-complete questionnaires. Dentists recorded the diagnosis of dental problems and provided patients with self-complete questionnaires to record the nature, severity and duration of symptoms using the EuroQol instrument. Data were available from 378 dentists (response rate = 60%).
Disability weights were highest for pulpal infection (0.069), caries (0.044) and dentinal sensitivity (0.040), followed by denture problems (0.026), periodontal disease (0.023), failed restorations (0.019), tooth fractures (0.014) and tooth wear (0.011). Aesthetic problems had a low disability weight (0.002), and both recall/maintenance care and oral hygiene had adjusted weights of zero.
Disability weights for caries (0.044), periodontal disease (0.023) and denture problems (0.026) in this study were higher than comparable oral health conditions in the Australian Burden of Disease and Injury Study (0.005 for caries involving a filling and 0.014 for caries involving an extraction, 0.007 for periodontal disease, and 0.004 for edentulism). A range of common problems such as pulpal infection, failed restorations and tooth fracture that were not included in the Australian Burden of Disease and Injury Study had relatively high disability weights. The inclusion of a fuller range of oral health problems along with revised disability weights would result in oral health accounting for a larger amount of disability than originally estimated.
Oral disease; Burden of disease; EuroQol; Disability weight
The US National Health and Nutrition Examination Survey (NHANES 2003–2004) evaluated oral health quality of life for the first time using a previously untested subset of seven Oral Health Impact Profile (OHIP) questions, i.e. the NHANES-OHIP.
(i) To describe the impact of dental conditions on quality of life in the US adult population; (ii) to evaluate construct validity and adequacy of the NHANES-OHIP in NHANES 2003–2004 and a comparable Australian survey.
In the cross-sectional NHANES 2003–2004 survey of a nationally representative sample of US adults (n = 4907), prevalence was quantified as the proportion of adults who reported experiencing one or more impacts fairly often or very often within the past year. Construct validity was tested by comparing prevalence estimates across categories of sociodemographic, dental health and utilization characteristics known to vary in oral health. In 2002, Australian cross-sectional survey of a nationally representative sample of adults (n = 2644), adequacy of the NHANES-OHIP questions were tested with reference to a slightly modified version of the OHIP-14 questions.
NHANES-OHIP prevalence estimates were markedly similar in the United States (15.3%) and Australia (15.7%). In the US construct, validity was evidenced by higher NHANES-OHIP scores among groups with greater levels of tooth loss, perceived treatment need and problem-oriented visiting and with lack of private dental insurance and low income. In Australia, prevalence for the NHANES-OHIP closely resembled prevalence estimates of the modified OHIP-14. Both varied to a similar degree across levels of tooth loss, perceived treatment need, problem-oriented visiting, and private dental insurance and income, demonstrating adequacy of the NHANES-OHIP as a brief independent instrument.
There was acceptable construct validity and adequacy of the NHANES-OHIP questionnaire. In the United States, the impact of oral disease disproportionately affected disadvantaged groups, a finding that supports application of the US Healthy People 2010 major goals of improved quality of life and reduced health disparities.
adults; health policy; health surveys; NHANES; population groups
Objective. This study assessed the impact of periodontal diseases on health-related quality of life of adult users of the Brazilian Unified Health System. Study Design. A cross-sectional study was conducted on an outpatient basis. The sample included 151 adults treated in the Periodontics section at Dental Specialty Centres of Juiz de Fora (Minas Gerais, Brazil). The Oral Health Impact Profile (OHIP-14) measured the impact of periodontal disease on quality of life. Participants were interviewed to obtain self-perception of general and oral health and socioeconomic data, and dental records were consulted to obtain periodontal status data. The values of central tendency of the OHIP-14 were compared with socioeconomic, demographic, and self-reported health predictors using nonparametric tests. The final analysis was performed using multiple linear regressions. Results. The results showed that psychological discomfort and physical disability exhibited a negative impact. The following variables can explain approximately 27% of the impact of oral health conditions on health-related quality of life in this group: periodontal disease, self-perceived oral health, and the need to use or replace dental prosthesis. Conclusion. The need for prosthetic rehabilitation and worse periodontal status are associated with health-related quality of life, which can be predicted by the self-perception of health.
To analyse the health-related quality of life (HR-QOL) in two groups of diamond miners (HIV negative and positive) in South Africa using three instruments. Two hypotheses were to be tested. One, was that the HR-QOL of HIV positive miners would be lower than that of HIV negative miners; and two, the selected instruments would behave consistently and thus all would confirm hypothesis one.
In our study, workers were recruited during a voluntary counselling and testing programme for HIV. HR-QOL were estimated using the Assessment of Quality of Life (AQOL) Mark 2, EQ-5D (EuroQOL), and Health Utilities Index 3 (HUI3) instruments. The data were analysed for utility values and for correlations between variables of interest (in particular HIV status). Goodness of fit, Pearson's r coefficient and t-tests were the statistical tests applied to the data.
Just over 1100 respondents were included in the analysis. HIV positive workers scored significantly lower on quality of life on the HUI3 as compared to HIV negative workers but this relationship did not (surprisingly) hold for the AQOL or EQ-5D. There was a significant positive correlation between all three instruments.
There was inconsistency among the instruments in measuring quality of life differences according to HIV status. The HUI3 confirmed the a priori expectation that the HR-QOL of HIV positive miners would be lower than HIV negative miners. There was no statistical difference for the AQOL and a confounding result was found for the EQ5D.
health-related quality of life; South Africa; miners; Qualité de vie sanitaire; Afrique du Sud; mineurs
The generic and oral health-related quality of life (QoL) has provided opportunity for investigation of the interrelations among generic health, oral health, and related outcomes. The purpose of this study was to identify the generic and oral QoL in the patients with oral mucosal disease (OMD).
Five hundred and thirty-eight OMDs were recruited in this study. The instruments applied were Chinese version of the 36-item short form health survey (SF-36) and the short-form of Oral Health Impact Profile (OHIP-14).
The mean score of sum OHIP-14 was significantly higher in the patients with OMD (10.81 ± 9.01) compared with those in the healthy subjects (HS) (6.55 ± 6.73) (p < 0.001, Mann-Whitney U test). 56.51% of the OMD patients and 12.94% of the HS reported at least one oral negative impact (p < 0.001, Chi-square test). The overall mean score of SF-36 was significantly lower in the patients with OMD (74.54 ± 12.77) compared with those in the HS (77.97 ± 12.39) (p = 0.021, t-test).
Administration of specific and generic questionnaires of QoL can provide us a detailed picture of the impact of OMDs on patients, and both generic and oral QoL were impaired in the patients with OMD.
Clinical studies employ the Unified Parkinson’s Disease Rating Scale (UPDRS) to measure the severity of Parkinson’s disease. Evaluations often fail to consider the health-related quality of life (HrQoL) or apply disease-specific instruments. Health-economic studies normally use estimates of utilities to calculate quality-adjusted life years. We aimed to develop an estimation algorithm for EuroQol- 5 dimensions (EQ-5D)-based utilities from the clinical UPDRS or disease-specific HrQoL data in the absence of original utilities estimates.
Linear and fractional polynomial regression analyses were performed with data from a study of Parkinson’s disease patients (n=138) to predict the EQ-5D index values from UPDRS and Parkinson’s disease questionnaire eight dimensions (PDQ-8) data. German and European weights were used to calculate the EQ-5D index. The models were compared by R2, the root mean square error (RMS), the Bayesian information criterion, and Pregibon’s link test. Three independent data sets validated the models.
The regression analyses resulted in a single best prediction model (R2: 0.713 and 0.684, RMS: 0.139 and 13.78 for indices with German and European weights, respectively) consisting of UPDRS subscores II, III, IVa-c as predictors. When the PDQ-8 items were utilised as independent variables, the model resulted in an R2 of 0.60 and 0.67. The independent data confirmed the prediction models.
The best results were obtained from a model consisting of UPDRS subscores II, III, IVa-c. Although a good model fit was observed, primary EQ-5D data are always preferable. Further validation of the prediction algorithm within large, independent studies is necessary prior to its generalised use.
Parkinson’s disease; Quality of life; EuroQoL/EQ-5D; UPDRS; PDQ-8; Prediction
Objective. To evaluate costs, benefits and cost–effectiveness of anti-TNF agents in PsA patients with inadequate response to conventional treatment.
Methods. A total of 107 patients, from nine Italian rheumatology centres, with different forms of PsA were given anti-TNF treatment, mainly etanercept (87%). Information on resource use, health-related quality of life, disease activity, function and laboratory values were collected at baseline and through out the 12 months of therapy. Cost (expressed in euro 2007) and utility (measured by EuroQol) before and after anti-TNF therapy initiation were compared in order to estimate the incremental cost per quality-adjusted life year (QALY) gained, and cost–effectiveness acceptability curve was calculated.
Results. At the end of 12 months, there was a significant increase in direct cost due to an increase of drug cost caused by TNF inhibitors that was only partially offset by the decrease in indirect cost. In the last 6 months of therapy, the direct cost increased by €5052, the cost for the National Health System (NHS) by €5044 and the social cost by €4638. However, a gain of 0.12 QALY resulted in a cost per QALY gained of €40 876 for the NHS and of €37 591 for the society. The acceptability curve showed that there would be a 97% likelihood that anti-TNF therapy would be considered cost-effective at willingness-to-pay threshold of €60 000 per QALY gained.
Conclusion. Cost–effectiveness ratios are within the commonly accepted willingness-to-pay threshold. These results need to be confirmed in larger samples of patients.
Psoriatic arthritis; Anti-tumour necrosis factor; Cost–effectiveness; Quality-adjusted life year
Background: The need for assessment of oral health related quality of life has been increased over the last decades. The aim of this study was to develop a Persian version of the Oral Health Impact Profile (OHIP)-14 and to evaluate its reliability and validity for its use in Persian-speaking communities.
Methods: The original version of the OHIP-14 was translated into the Persian language using the back-translation technique. To establish the reliability of the translated instrument, internal consistency and test-retest reliability trials were performed on 20 subjects (at 4-week intervals); Cronbach’s alpha was used. One hundred sixty adults over 50 years of age who attended Health Care Centers in Sari and Babol were recruited to fill out the questionnaires and received a clinical examination by a single dentist. The socio-demographic and oral health information was also collected.
Results: The test-retest reliability was excellent (Cronbach’s alpha = 0.095). In the main study, Cronbach’s reliability coefficient for all 14 questions in each dimension was more than 70%. The individuals in need of dental treatment showed significantly higher OHIP scores than the individuals not requiring treatment. The individuals with hopeless teeth, negative self-perceived oral had significantly higher OHIP scores.
Conclusion: The Persian version of the OHIP-14 is a comprehensive and accurate instrument with acceptable reliability and validity for measuring oral health–related quality of life.
Quality of life; QOL questionnaire; OHIP-14
The objectives for this study were to assess Oral Health Related Quality of Life (OHRQoL) in young people aged 15–25 who sought orthodontic treatment, and to measure the association between orthodontic treatment need (using the IOTN), sex, age and education level, and oral health related quality of life (OHRQoL).
Survey of a consecutive series of 323 young adults aged 15 to 25 years, attending orthodontic clinics at the Faculty of Dentistry, Universiti Teknologi MARA. Participants completed the Oral Health Impact Profile-14 (OHIP-14) and had a clinical examination including the Index of Orthodontic Treatment Need- Dental Health Component (IOTN-DHC). Data analyses included descriptive statistics, One-way ANOVA and bivariate and multivariate regression models.
The mean overall score (± SD) for OHIP-14 in young people aged 15–25 was 22.6 ± 12.5. The psychological discomfort domain was the domain where highest impact was recorded with a mean (± SD) of 4.0 ± 1.9. The regression analyses showed a significant association of IOTN-DHC with overall OHIP-14 score (p < 0.05). Although females reported a slightly higher impact than males, this was not significant in both bivariate and multivariate analyses. Age group had a significant negative association with overall OHIP-14 score (p < 0.05). The 15–18 year old group showed the highest impact on their quality of life due to malocclusion. Participants with a university education report a significantly higher impact on OHRQoL as compared to participants with only secondary education.
Malocclusion has a significant negative impact on OHRQoL and its domains. This is greatest for the psychological discomfort domain. Younger people and those with a university education report higher levels of impact. There was no reported difference in impact between male and females.
Oral health related quality of life; Malocclusion; Treatment need; OHIP
Health is the most significant part of quality of life. Generally, quality of life outcome instruments used in healthcare confine their attention to health related areas, assessing health related quality of life. The present study aims to describe some commonly used health profile instruments such as the generic measures SF-36, Nottingham Health Profile and Sickness Impact Profile; and the preference-based measures EuroQol and SF-6D. The latter preference-based instruments are increasingly used in outcome studies and obtained data might be used for calculating quality-adjusted life-years.
Health status; Health status indicators; Quality of life; Quality-adjusted life-years; Questionnaires/standards; Review; SF-36; Nottingham Health Profile; Sickness Impact Profile; EuroQol; EQ-5D; SF-6D
Preference-weighted health-related quality-of-life (HRQoL) indexes produce a summary score from discrete health states determined by questions falling into several attributes, such as pain and mobility. Values of HRQoL are used alongside other health outcomes to monitor the health of populations.
The purpose of this study was to examine among US adults, the underlying factor structure of HRQoL attribute scores across 5 indexes of HRQoL: EuroQol-5 Dimension, Health Utilities Index Mark 2, Health Utilities Index Mark 3, Short Form-6 Dimension, and Quality of Well-Being Scale Self-Administered form.
The National Health Measurement Study surveyed a nationally representative sample of 3844 noninstitutionalized adults aged 35 to 89 years residing in the continental US. Simultaneous data on all 5 indexes were collected cross-sectionally from June 2005 to August 2006. Exploration of underlying dimensions of HRQoL was done by categorical exploratory factor analysis of HRQoL indexes' attribute scores. Item response theory was applied to explore the amount of information HRQoL attributes contribute to the underlying latent dimensions.
Three main dimensions of HRQoL emerged: physical, psychosocial, and pain. Most HRQoL index attributes contributed to the physical or psychosocial dimension. The 3 dimensions were correlated: 0.47 (physical and psychosocial), 0.57 (physical and pain), 0.46 (psychosocial and pain). Some HRQoL index attributes displayed relatively more unique variance: HUI3 hearing, speech, and vision, and some contributed to more than 1 dimension The identified factor structure fit the HRQoL data well (Comparative Fit Index = 0.98, Tucker-Lewis Index = 0.98, and Root Mean Square Error of Approximation = 0.042).
The attributes of 5 commonly used HRQoL indexes share 3 underlying latent dimensions of HRQoL, physical, psychosocial, and pain.
health-related quality-of-life; patient reported outcomes; factor analysis; item response theory; health dimensions; EQ-5D; HUI2; HUI3; SF-6D; QWB-SA
A parental/family history of poor oral health may influence the oral-health-related quality of life (OHRQOL) of adults.
To determine whether the oral health of mothers of young children can predict the OHRQOL of those same children when they reach adulthood.
Oral examination and interview data from the Dunedin Study's age-32 assessment, as well as maternal self-rated oral health data from the age-5 assessment were used. The main outcome measure was study members' short-form Oral Health Impact Profile (OHIP-14) at age 32. Analyses involved 827 individuals (81.5% of the surviving cohort) dentally examined at both ages, who also completed the OHIP-14 questionnaire at age 32, and whose mothers were interviewed at the age-5 assessment.
There was a consistent gradient of relative risk across the categories of maternal self-rated oral health status at the age-5 assessment for having one or more impacts in the overall OHIP-14 scale, whereby risk was greatest among the study members whose mothers rated their oral health as "poor/edentulous", and lowest among those with an "excellent/fairly good" rating. In addition, there was a gradient in the age-32 mean OHIP-14 score, and in the mean number of OHIP-14 impacts at age 32 across the categories of maternal self-rated oral health status. The higher risk of having one or more impacts in the psychological discomfort subscale, when mother rated her oral health as "poor/edentulous", was statistically significant.
These data suggest that maternal self-rated oral health when a child is young has a bearing on that child's OHRQOL almost three decades later. The adult offspring of mothers with poor self-rated oral health had poorer OHRQOL outcomes, particularly in the psychological discomfort subscale.
oral health; oral health-related quality of life: OHIP-14; intergenerational; risk; family history
To investigate the association between oral health literacy (OHL) and oral health-related quality of life (OHRQoL) and explore the racial differences therein among a low-income community-based group of female WIC participants.
Participants (N = 1,405) enrolled in the Carolina Oral Health Literacy (COHL) study completed the short form of the Oral Health Impact Profile Index (OHIP-14, a measure of OHRQoL) and REALD-30 (a word recognition literacy test). Socio-demographic and self-reported dental attendance data were collected via structured interviews. Severity (cumulative OHIP-14 score) and extent of impact (number of items reported fairly/very often) scores were calculated as measures of OHRQoL. OHL was assessed by the cumulative REALD-30 score. The association of OHL with OHRQoL was examined using descriptive and visual methods, and was quantified using Spearman's rho and zero-inflated negative binomial modeling.
The study group included a substantial number of African Americans (AA = 41%) and American Indians (AI = 20%). The sample majority had a high school education or less and a mean age of 26.6 years. One-third of the participants reported at least one oral health impact. The OHIP-14 mean severity and extent scores were 10.6 [95% confidence limits (CL) = 10.0, 11.2] and 1.35 (95% CL = 1.21, 1.50), respectively. OHL scores were distributed normally with mean (standard deviation, SD) REALD-30 of 15.8 (5.3). OHL was weakly associated with OHRQoL: prevalence rho = -0.14 (95% CL = -0.20, -0.08); extent rho = -0.14 (95% CL = -0.19, -0.09); severity rho = -0.10 (95% CL = -0.16, -0.05). "Low" OHL (defined as < 13 REALD-30 score) was associated with worse OHRQoL, with increases in the prevalence of OHIP-14 impacts ranging from 11% for severity to 34% for extent. The inverse association of OHL with OHIP-14 impacts persisted in multivariate analysis: Problem Rate Ratio (PRR) = 0.91 (95% CL = 0.86, 0.98) for one SD change in OHL. Stratification by race revealed effect-measure modification: Whites--PRR = 1.01 (95% CL = 0.91, 1.11); AA--PRR = 0.86 (95% CL = 0.77, 0.96).
Although the inverse association between OHL and OHRQoL across the entire sample was weak, subjects in the "low" OHL group reported significantly more OHRQoL impacts versus those with higher literacy. Our findings indicate that the association between OHL and OHRQoL may be modified by race.
oral health literacy; oral health-related quality of life; OHIP-14; racial differences; effect measure modification
Utility scores are used to estimate Quality Adjusted Life Years (QALYs), applied in determining the cost-effectiveness of health care interventions. In studies where no preference based measures are collected, indirect methods have been developed to estimate utilities from clinical instruments. The aim of this study was to evaluate a published method of estimating the EuroQol-5D (EQ-5D) and Short Form-6D (SF-6D) (preference based) utility scores from the Health Assessment Questionnaire (HAQ) in patients with inflammatory arthritis.
Data were used from 3 cohorts of patients with: early inflammatory arthritis (<10 weeks duration); established (>5 years duration) stable rheumatoid arthritis (RA); and RA being treated with anti-TNF therapy. Patients completed the EQ-5D, SF-6D and HAQ at baseline and a follow-up assessment. EQ-5D and SF-6D scores were predicted from the HAQ using a published method. Differences between predicted and observed EQ-5D and SF-6D scores were assessed using the paired t-test and linear regression.
Predicted utility scores were generally higher than observed scores (range of differences: EQ-5D 0.01 - 0.06; SF-6D 0.05 - 0.10). Change between predicted values of the EQ-5D and SF-6D corresponded well with observed change in patients with established RA. Change in predicted SF-6D scores was, however, less than half of that in observed values (p < 0.001) in patients with more active disease. Predicted EQ-5D scores underestimated change in cohorts of patients with more active disease.
Predicted utility scores overestimated baseline values but underestimated change. Predicting utility values from the HAQ will therefore likely underestimate the QALYs of interventions, particularly for patients with active disease. We recommend the inclusion of at least one preference based measure in future clinical studies.
Critical limb ischemia (CLI) has a significant impact on patients' quality of life (QoL). Despite cost utility evaluations being required by different authorities, data on patient health preferences and utilities for CLI are scarce. Hence, the objective of this study was to assess the impact of CLI on health preferences and health status of affected patients, and to generate health state utilities. In the International Study, 200 patients with CLI (stages III and IV according to Fontaine scale) were interviewed by trained interviewers with a discrete choice instrument, a standard gamble (SG), and the EuroQol-five dimension (EQ-5D) questionnaires (Marten Meesweg, Rotterdam, Netherland). Conjoint analysis showed that a planned amputation (33%) was the most relevant health attribute followed by ambulatory function (25%) and chronic pain (15%). Non-dependence on caregiver impacted on patient health state preference considerably, whereas healing of ulcer/skin lesions had less impact. Preference values obtained from the SG were 0.84, for an amputation subpopulation arriving at 0.70. The EQ-5D index values as well as the EQ-5D visual analog scale for patients with CLI were 0.56. The QoL data of patients with CLI result in decreased QoL and preference values with a planned amputation.
critical limb ischemia; peripheral artery disease; quality of life; utility; discrete choice model
is a generic questionnaire developed to provide a simple method for
assigning utility values to health. This study examines the
applicability of the EuroQol to the measurement of quality of life in
single, bilateral, and heart-lung transplantation.
sectional study was performed in 87 patients awaiting lung
transplantation and in 255 transplant recipients attending follow up
clinics in four transplant units.
RESULTS—In the waiting
list group 61% reported extreme problems in at least one of the five
EuroQol quality of life domains compared with 20% single lung
recipients, 4% bilateral lung recipients, and 2% heart-lung
recipients at 3 or more years after transplantation. The mean utility
value of patients on the waiting list was 0.31.In comparison, utility
values for recipients 3 years after transplantation were 0.61 for
single, 0.82 for bilateral, and 0.87 for heart-lung transplants. The
utility scores and health profiles of bilateral and heart-lung
recipients were consistently superior to those of single lung
recipients. Problems in all five domains were more frequent in single
lung recipients. Subjective assessment with a visual analogue scale
showed a similar trend.
EuroQol is a simple method of deriving a single utility value for
quality of life and is responsive to changes after lung transplantation. It is worth considering as a means of monitoring quality of life after transplantation and as an index of quality of
survival in research studies in solid organ transplantation. These
data suggest that quality of life after transplantation of one lung is
inferior to that after transplantation of two lungs.
The aims of the study were to assess the impact of both positive (PA) and negative affect (NA) on self-reported oral health-related quality of life and to determine the effect of including affectivity on the relationship between oral health-related quality of life and a set of explanatory variables consisting of oral health status, socio-economic status and dental visiting pattern.
A random sample of 45–54 year-olds from metropolitan Adelaide, South Australia was surveyed by mailed self-complete questionnaire during 2004–05 with up to four follow-up mailings of the questionnaire to non-respondents (n = 986 responded, response rate = 44.4%). Oral health-related quality of life was measured using OHIP-14 and affectivity using the Bradburn scale. Using OHIP-14 and subscales as the dependent variables, regression models were constructed first using oral health status, socio-economic characteristics and dental visit pattern and then adding PA and NA as independent variables, with nested models tested for change in R-squared values.
PA and NA exhibited a negative correlation of -0.49 (P < 0.01). NA accounted for a larger percentage of variance in OHIP-14 scores (3.0% to 7.3%) than PA (1.4% to 4.6%). In models that included both PA and NA, PA accounted for 0.2% to 1.1% of variance in OHIP-14 scores compared to 1.8% to 3.9% for NA.
PA and NA both accounted for additional variance in quality of life scores, but did not substantially diminish the effect of established explanatory variables such as oral health status, socio-economic status and dental visit patterns.
Quality of life outcomes among patients receiving implants have been well studied, but little is known about the effects of bone augmentation in this therapy. The purpose of the paper was to assess quality of life changes among postmenopausal women receiving dental implants with bone augmentation during implant therapy. This was a prospective cohort study. Forty-eight patients were recruited at the University of Connecticut Health Center and received one of three surgical augmentation methods: dehiscence repair, expansion alone or expansion with dehiscence repair. The predictor variable was type of augmentation procedure. Quality of life measured by the Oral Health Impact Profile-14 (OHIP-14) was the outcome measure and was assessed prior to treatment, one week, eight weeks and nine months post surgery. Changes in OHIP-14 were evaluated by repeated measures analysis of variance. The mean initial OHIP-14 scores on total items checked was 4.6 (SD=3.0) and declined significantly to 2.0 (SD=2.0) at nine months. The mean baseline severity score was 15.4 (SD=8.9) improving significantly to 7.5 (SD=7.6) at nine months. Type of augmentation procedure did not affect quality of life. The participants’ quality of life improved continuously from the pretreatment to the nine-month assessment, including improvements one week after implant placement.
quality of life; dental implants; bone augmentation
The need for appraisal of oral health-related quality of life has been increasingly recognized over the last decades. The aims of this study were to develop a Spanish version (OHIP-Sp) of the Oral Health Impact Profile and to evaluate its convergent and discriminative validity, and its internal consistency.
The original 49-items OHIP was translated to Spanish, revised for understanding and semantics by two independent dentists, and then translated back to English by an independent bilingual dentist. The data originated in a cross sectional study conducted among high school students from the Province of Santiago, Chile. The study group was sampled using a multistage random cluster procedure yielding 9,203 students aged 12–21 years. All selected students were invited to participate and all filled a questionnaire with information on socio-demographic factors; oral health related behaviors; and self-reported oral health status (good, fair or poor). From this group, 9,163 students also accepted to fill a detailed questionnaire on socio-economic indicators and to receive a clinical examination comprising direct recordings of clinical attachment levels (CAL) in molars and incisors, tooth loss, and the presence of necrotizing ulcerative gingival lesions.
The participation rate and the questionnaire completeness were high with OHIP-Sp total scores being computed for 9,133 subjects. Self-perceived oral health status was associated with the total OHIP-Sp score and all its domains (Spearman rank correlation). The OHIP-Sp total score was also directly associated with the 4 dental outcomes investigated (Mann-Whitney test) and the largest impact was found for the outcomes, 'tooth loss' with a mean OHIP-Sp score = 13.5 and 'CAL >= 3 mm' with a mean OHIP-Sp score = 13.0.
The OHIP-Sp revealed suitable convergent and discriminative validity and appropriate internal consistency (Cronbach's α). Further studies on OHIP-Sp warrant the inclusion of populations with a higher disease burden; and the use of test-retest reliability exercises to evaluate the stability of the test.
To evaluate the cost utility of interferon beta-1b in secondary progressive multiple sclerosis.
Population based cost utility model (healthcare perspective). Data on use of health services were obtained from case records and routine morbidity data and utility values from a EuroQol survey. Local and published costs were used. Effectiveness was modelled using data on relative risk reductions from a randomised trial of interferon beta-1b.
Tayside region, 1993-5.
132 ambulatory people with secondary progressive multiple sclerosis.
Main outcome measures
Cost per quality adjusted life year (QALY) gained. Rate of relapse and proportion becoming wheelchair dependent over three years.
The number needed to treat for 30 months to delay time to wheelchair dependence in one person by nine months was 18 (95% confidence interval 5 to 26). For every 18 people treated for 30 months, six relapses would be prevented, gaining 0.397 discounted QALYs. The cost per QALY gained was £1 024 667 (£276 466 to £1 485 499). If treatment was restricted to patients attending neurology services, the number needed to treat was 14 (cost per QALY gained £833 514 (£161 358 to ∞)). The cost per QALY gained was not sensitive to changes in cost which took account of a societal perspective.
The cost per QALY gained from interferon beta is high because of the high drug cost and modest clinical effect. Resources could be used more efficiently elsewhere.
Key messagesSecondary progressive multiple sclerosis is a potentially disabling disorder associated with low health related quality of lifeInterferon beta-1b may reduce rate of relapseThe benefits of interferon beta-1b treatment are very low relative to its costCost utility analysis estimated a cost of over £1m per QALY gainedCost per QALY was not affected by taking into account the costs of careMoney would be better spent on other ways of improving quality of life than on interferon beta