Assessing change in quality of life using the Oral Health Impact Profile
Identifieur interne : 009A00 ( Main/Exploration ); précédent : 009999; suivant : 009A01Assessing change in quality of life using the Oral Health Impact Profile
Auteurs : Gary D. Slade [États-Unis]Source :
- Community Dentistry and Oral Epidemiology [ 0301-5661 ] ; 1998-02.
Descripteurs français
- Wicri :
- topic : Analyse quantitative, Projet de recherche, Impact social.
English descriptors
- KwdEn :
- Arithmetic combination, Baseline, Baseline interviews, Baseline ohip score, Baseline ohip scores, Baseline scores, Blood pressure, Categorical analysis, Categorical measures, Change score change, Change scores, Chapel hill, Community dent, Community dent health, Consistent results, Correlation coefficients, Corresponding groups, Covariance, Covariance adjustment, Covariance model, Current analysis, Current study, Decrement, Decrement scores, Dent, Dental care, Dental caries, Dental ecology, Dental visit patterns, Dental visit subgroups, Dental visits, Dentate people, Deterioration, Dichotomous, Dichotomous level, Dichotomous ohip scores, Dichotomous scores, Different patterns, Disease status, Effect modification, Epidemiol, Financial hardship, Future studies, Greater likelihood, Group differences, Health status, Healthy people, High levels, Higher rates, Highrisk groups, Incident tooth loss, Increment, Initial value, Intervention studies, Life measures, Life table, Longitudinal, Longitudinal assessment, Longitudinal studies, Longitudinal study, Measure change, Measurement error, Methodological issues, More items, Negative changes, Negative relationship, Ohip, Ohip item, Ohip questionnaire, Ohip questionnaires, Ohip scores, Older adults, Oral conditions, Oral health, Oral health impact, Oral health impact profile, Oral maxillofac surg, Oral quality, Ordinal, Ordinal level, Ordinal scores, Outcome measure, Positive changes, Possible explanation, Predictor, Quantitative analysis, Quantitative scores, Regression, Research project, Risk factors, Risk groups, Risk predictor, Risk predictors, Root surfaces, Scores, Significant differences, Simultaneous improvement, Slade, Social impact, Subgroup, Tooth loss, Tooth loss group, Usual reason, Visit group.
- Teeft :
- Arithmetic combination, Baseline, Baseline interviews, Baseline ohip score, Baseline ohip scores, Baseline scores, Blood pressure, Categorical analysis, Categorical measures, Change score change, Change scores, Chapel hill, Community dent, Community dent health, Consistent results, Correlation coefficients, Corresponding groups, Covariance, Covariance adjustment, Covariance model, Current analysis, Current study, Decrement, Decrement scores, Dent, Dental care, Dental caries, Dental ecology, Dental visit patterns, Dental visit subgroups, Dental visits, Dentate people, Deterioration, Dichotomous, Dichotomous level, Dichotomous ohip scores, Dichotomous scores, Different patterns, Disease status, Effect modification, Epidemiol, Financial hardship, Future studies, Greater likelihood, Group differences, Health status, Healthy people, High levels, Higher rates, Highrisk groups, Incident tooth loss, Increment, Initial value, Intervention studies, Life measures, Life table, Longitudinal, Longitudinal assessment, Longitudinal studies, Longitudinal study, Measure change, Measurement error, Methodological issues, More items, Negative changes, Negative relationship, Ohip, Ohip item, Ohip questionnaire, Ohip questionnaires, Ohip scores, Older adults, Oral conditions, Oral health, Oral health impact, Oral health impact profile, Oral maxillofac surg, Oral quality, Ordinal, Ordinal level, Ordinal scores, Outcome measure, Positive changes, Possible explanation, Predictor, Quantitative analysis, Quantitative scores, Regression, Research project, Risk factors, Risk groups, Risk predictor, Risk predictors, Root surfaces, Scores, Significant differences, Simultaneous improvement, Slade, Social impact, Subgroup, Tooth loss, Tooth loss group, Usual reason, Visit group.
Abstract
Abstract— Traditionally longitudinal studies of oral health have measured only disease progression and ignored improvements in health. Objectives: This study examines methodological issues that arise in longitudinal assessment of change in oral health‐related quality of life (OHRQOL). Methods: Baseline and 2‐year follow‐up data were used from an observational longitudinal study of 498 people aged 60 years or more living in South Australia. Oral health‐related quality of life was measured using the Oral Health Impact Profile (OHIP). Three hypothesized risk predictors (tooth loss, problem‐based dental visits and financial hardship) were selected to examine the effects of four methods of measuring change: categorical measures of improvement, deterioration and net change, and a quantitative measure of net change in OHIP scores. Results: Some 31.7% of people experienced some improvement and 32.7% experienced some deterioration in OHRQOL. All three high‐risk groups had approximately twice the rate of deterioration in OHRQOL compared with their corresponding low‐risk groups. Surprisingly, high‐risk groups also had higher rates of improvement. When measured categorically, these effects did not cancel one another, indicating that improvement and deterioration in OHRQOL can be experienced simultaneously. However, quantitative analyses cause improvements and deteriorations to cancel, and analysis of mean OHIP scores created a spurious impression that change in OHRQOL did not differ between dental visit groups. Furthermore, changes in mean OHIP scores were masked by regression to the mean. Conclusions: Oral health‐related quality of life measures capture both improvement and deterioration in health status, creating new complexities for conceptualizing and analyzing change in longitudinal studies.
Url:
DOI: 10.1111/j.1600-0528.1998.tb02084.x
Affiliations:
- États-Unis
- Caroline du Nord
- Chapel Hill (Caroline du Nord)
- Université de Caroline du Nord à Chapel Hill
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Le document en format XML
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<front><div type="abstract">Abstract— Traditionally longitudinal studies of oral health have measured only disease progression and ignored improvements in health. Objectives: This study examines methodological issues that arise in longitudinal assessment of change in oral health‐related quality of life (OHRQOL). Methods: Baseline and 2‐year follow‐up data were used from an observational longitudinal study of 498 people aged 60 years or more living in South Australia. Oral health‐related quality of life was measured using the Oral Health Impact Profile (OHIP). Three hypothesized risk predictors (tooth loss, problem‐based dental visits and financial hardship) were selected to examine the effects of four methods of measuring change: categorical measures of improvement, deterioration and net change, and a quantitative measure of net change in OHIP scores. Results: Some 31.7% of people experienced some improvement and 32.7% experienced some deterioration in OHRQOL. All three high‐risk groups had approximately twice the rate of deterioration in OHRQOL compared with their corresponding low‐risk groups. Surprisingly, high‐risk groups also had higher rates of improvement. When measured categorically, these effects did not cancel one another, indicating that improvement and deterioration in OHRQOL can be experienced simultaneously. However, quantitative analyses cause improvements and deteriorations to cancel, and analysis of mean OHIP scores created a spurious impression that change in OHRQOL did not differ between dental visit groups. Furthermore, changes in mean OHIP scores were masked by regression to the mean. Conclusions: Oral health‐related quality of life measures capture both improvement and deterioration in health status, creating new complexities for conceptualizing and analyzing change in longitudinal studies.</div>
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