Assessing the responsiveness of measures of oral health-related quality of life
– Objectives: This paper illustrates ways of assessing the responsiveness of measures of oral health‐related quality of life (OHRQoL) by examining the sensitivity of the oral health impact profile (OHIP)‐14 to change when used to evaluate a dental care program for the elderly. Methods: One hundred...
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Published in | Community dentistry and oral epidemiology Vol. 32; no. 1; pp. 10 - 18 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Munksgaard International Publishers
01.02.2004
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Subjects | |
Online Access | Get full text |
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Abstract | –
Objectives: This paper illustrates ways of assessing the responsiveness of measures of oral health‐related quality of life (OHRQoL) by examining the sensitivity of the oral health impact profile (OHIP)‐14 to change when used to evaluate a dental care program for the elderly.
Methods: One hundred and sixteen elderly patients attending four municipally funded dental clinics completed a copy of the OHIP‐14 prior to treatment and 1 month after the completion of treatment. The post‐treatment questionnaire also included a global transition judgement that assessed subjects' perceptions of change in their oral health following treatment at the clinics. Change scores were calculated by subtracting post‐treatment OHIP‐14 scores from pre‐treatment scores. The longitudinal construct validity of these change scores were assessed by means of their association with the global transition judgements. Measures of responsiveness included effect sizes for the change scores, the minimal important difference, and Guyatt's responsiveness index. An receiver operating characteristic (ROC) curve was constructed to determine the accuracy of the change scores in predicting whether patients had improved or not as a result of the treatment.
Results: Based on the global transition judgements, 60.2% of subjects reported improved oral health, 33.6% reported no change, and only 6.2% reported that it was a little worse. These changes are reflected in mean pre‐ and post‐treatment OHIP‐14 scores that declined from 15.8 to 11.5 (P < 0.001). Mean change scores showed a consistent gradient in the expected direction across categories of the global transition judgement, but differences between the groups were not significant. However, paired t‐tests showed no significant differences in the pre‐ and post‐treatment scores of stable subjects, but showed significant declines for subjects who reported improvement. Analysis of data from stable subjects indicated that OHIP‐14 had excellent test–retest reliability with an intraclass correlation coefficient (ICC) of 0.84. Effect size based on change scores for all subjects and subgroups of subjects were small to moderate. The ROC analysis indicated that OHIP‐14 change scores were not good ‘diagnostic tests’ of improvement. The minimal important difference for the OHIP‐14 was of 5‐scale points, but detecting this difference would require relatively large sample sizes.
Conclusions: OHIP‐14 appeared to be responsive to change. However, the magnitude of change that it detected in the context described here was modest, probably because it was designed primarily as a discriminative measure. The psychometric properties of the global transition judgements that often provide the ‘gold standard’ for responsiveness studies need to be established. |
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AbstractList | Abstract
–
Objectives:
This paper illustrates ways of assessing the responsiveness of measures of oral health‐related quality of life (OHRQoL) by examining the sensitivity of the oral health impact profile (OHIP)‐14 to change when used to evaluate a dental care program for the elderly.
Methods:
One hundred and sixteen elderly patients attending four municipally funded dental clinics completed a copy of the OHIP‐14 prior to treatment and 1 month after the completion of treatment. The post‐treatment questionnaire also included a global transition judgement that assessed subjects' perceptions of change in their oral health following treatment at the clinics. Change scores were calculated by subtracting post‐treatment OHIP‐14 scores from pre‐treatment scores. The longitudinal construct validity of these change scores were assessed by means of their association with the global transition judgements. Measures of responsiveness included effect sizes for the change scores, the minimal important difference, and Guyatt's responsiveness index. An receiver operating characteristic (ROC) curve was constructed to determine the accuracy of the change scores in predicting whether patients had improved or not as a result of the treatment.
Results:
Based on the global transition judgements, 60.2% of subjects reported improved oral health, 33.6% reported no change, and only 6.2% reported that it was a little worse. These changes are reflected in mean pre‐ and post‐treatment OHIP‐14 scores that declined from 15.8 to 11.5 (
P
< 0.001). Mean change scores showed a consistent gradient in the expected direction across categories of the global transition judgement, but differences between the groups were not significant. However, paired
t
‐tests showed no significant differences in the pre‐ and post‐treatment scores of stable subjects, but showed significant declines for subjects who reported improvement. Analysis of data from stable subjects indicated that OHIP‐14 had excellent test–retest reliability with an intraclass correlation coefficient (ICC) of 0.84. Effect size based on change scores for all subjects and subgroups of subjects were small to moderate. The ROC analysis indicated that OHIP‐14 change scores were not good ‘diagnostic tests’ of improvement. The minimal important difference for the OHIP‐14 was of 5‐scale points, but detecting this difference would require relatively large sample sizes.
Conclusions:
OHIP‐14 appeared to be responsive to change. However, the magnitude of change that it detected in the context described here was modest, probably because it was designed primarily as a discriminative measure. The psychometric properties of the global transition judgements that often provide the ‘gold standard’ for responsiveness studies need to be established. This paper illustrates ways of assessing the responsiveness of measures of oral health-related quality of life (OHRQoL) by examining the sensitivity of the oral health impact profile (OHIP)-14 to change when used to evaluate a dental care program for the elderly.OBJECTIVESThis paper illustrates ways of assessing the responsiveness of measures of oral health-related quality of life (OHRQoL) by examining the sensitivity of the oral health impact profile (OHIP)-14 to change when used to evaluate a dental care program for the elderly.One hundred and sixteen elderly patients attending four municipally funded dental clinics completed a copy of the OHIP-14 prior to treatment and 1 month after the completion of treatment. The post-treatment questionnaire also included a global transition judgement that assessed subjects' perceptions of change in their oral health following treatment at the clinics. Change scores were calculated by subtracting post-treatment OHIP-14 scores from pre-treatment scores. The longitudinal construct validity of these change scores were assessed by means of their association with the global transition judgements. Measures of responsiveness included effect sizes for the change scores, the minimal important difference, and Guyatt's responsiveness index. An receiver operating characteristic (ROC) curve was constructed to determine the accuracy of the change scores in predicting whether patients had improved or not as a result of the treatment.METHODSOne hundred and sixteen elderly patients attending four municipally funded dental clinics completed a copy of the OHIP-14 prior to treatment and 1 month after the completion of treatment. The post-treatment questionnaire also included a global transition judgement that assessed subjects' perceptions of change in their oral health following treatment at the clinics. Change scores were calculated by subtracting post-treatment OHIP-14 scores from pre-treatment scores. The longitudinal construct validity of these change scores were assessed by means of their association with the global transition judgements. Measures of responsiveness included effect sizes for the change scores, the minimal important difference, and Guyatt's responsiveness index. An receiver operating characteristic (ROC) curve was constructed to determine the accuracy of the change scores in predicting whether patients had improved or not as a result of the treatment.Based on the global transition judgements, 60.2% of subjects reported improved oral health, 33.6% reported no change, and only 6.2% reported that it was a little worse. These changes are reflected in mean pre- and post-treatment OHIP-14 scores that declined from 15.8 to 11.5 (P < 0.001). Mean change scores showed a consistent gradient in the expected direction across categories of the global transition judgement, but differences between the groups were not significant. However, paired t-tests showed no significant differences in the pre- and post-treatment scores of stable subjects, but showed significant declines for subjects who reported improvement. Analysis of data from stable subjects indicated that OHIP-14 had excellent test-retest reliability with an intraclass correlation coefficient (ICC) of 0.84. Effect size based on change scores for all subjects and subgroups of subjects were small to moderate. The ROC analysis indicated that OHIP-14 change scores were not good "diagnostic tests" of improvement. The minimal important difference for the OHIP-14 was of 5-scale points, but detecting this difference would require relatively large sample sizes.RESULTSBased on the global transition judgements, 60.2% of subjects reported improved oral health, 33.6% reported no change, and only 6.2% reported that it was a little worse. These changes are reflected in mean pre- and post-treatment OHIP-14 scores that declined from 15.8 to 11.5 (P < 0.001). Mean change scores showed a consistent gradient in the expected direction across categories of the global transition judgement, but differences between the groups were not significant. However, paired t-tests showed no significant differences in the pre- and post-treatment scores of stable subjects, but showed significant declines for subjects who reported improvement. Analysis of data from stable subjects indicated that OHIP-14 had excellent test-retest reliability with an intraclass correlation coefficient (ICC) of 0.84. Effect size based on change scores for all subjects and subgroups of subjects were small to moderate. The ROC analysis indicated that OHIP-14 change scores were not good "diagnostic tests" of improvement. The minimal important difference for the OHIP-14 was of 5-scale points, but detecting this difference would require relatively large sample sizes.OHIP-14 appeared to be responsive to change. However, the magnitude of change that it detected in the context described here was modest, probably because it was designed primarily as a discriminative measure. The psychometric properties of the global transition judgements that often provide the "gold standard" for responsiveness studies need to be established.CONCLUSIONSOHIP-14 appeared to be responsive to change. However, the magnitude of change that it detected in the context described here was modest, probably because it was designed primarily as a discriminative measure. The psychometric properties of the global transition judgements that often provide the "gold standard" for responsiveness studies need to be established. – Objectives: This paper illustrates ways of assessing the responsiveness of measures of oral health‐related quality of life (OHRQoL) by examining the sensitivity of the oral health impact profile (OHIP)‐14 to change when used to evaluate a dental care program for the elderly. Methods: One hundred and sixteen elderly patients attending four municipally funded dental clinics completed a copy of the OHIP‐14 prior to treatment and 1 month after the completion of treatment. The post‐treatment questionnaire also included a global transition judgement that assessed subjects' perceptions of change in their oral health following treatment at the clinics. Change scores were calculated by subtracting post‐treatment OHIP‐14 scores from pre‐treatment scores. The longitudinal construct validity of these change scores were assessed by means of their association with the global transition judgements. Measures of responsiveness included effect sizes for the change scores, the minimal important difference, and Guyatt's responsiveness index. An receiver operating characteristic (ROC) curve was constructed to determine the accuracy of the change scores in predicting whether patients had improved or not as a result of the treatment. Results: Based on the global transition judgements, 60.2% of subjects reported improved oral health, 33.6% reported no change, and only 6.2% reported that it was a little worse. These changes are reflected in mean pre‐ and post‐treatment OHIP‐14 scores that declined from 15.8 to 11.5 (P < 0.001). Mean change scores showed a consistent gradient in the expected direction across categories of the global transition judgement, but differences between the groups were not significant. However, paired t‐tests showed no significant differences in the pre‐ and post‐treatment scores of stable subjects, but showed significant declines for subjects who reported improvement. Analysis of data from stable subjects indicated that OHIP‐14 had excellent test–retest reliability with an intraclass correlation coefficient (ICC) of 0.84. Effect size based on change scores for all subjects and subgroups of subjects were small to moderate. The ROC analysis indicated that OHIP‐14 change scores were not good ‘diagnostic tests’ of improvement. The minimal important difference for the OHIP‐14 was of 5‐scale points, but detecting this difference would require relatively large sample sizes. Conclusions: OHIP‐14 appeared to be responsive to change. However, the magnitude of change that it detected in the context described here was modest, probably because it was designed primarily as a discriminative measure. The psychometric properties of the global transition judgements that often provide the ‘gold standard’ for responsiveness studies need to be established. This paper illustrates ways of assessing the responsiveness of measures of oral health-related quality of life (OHRQoL) by examining the sensitivity of the oral health impact profile (OHIP)-14 to change when used to evaluate a dental care program for the elderly. One hundred and sixteen elderly patients attending four municipally funded dental clinics completed a copy of the OHIP-14 prior to treatment and 1 month after the completion of treatment. The post-treatment questionnaire also included a global transition judgement that assessed subjects' perceptions of change in their oral health following treatment at the clinics. Change scores were calculated by subtracting post-treatment OHIP-14 scores from pre-treatment scores. The longitudinal construct validity of these change scores were assessed by means of their association with the global transition judgements. Measures of responsiveness included effect sizes for the change scores, the minimal important difference, and Guyatt's responsiveness index. An receiver operating characteristic (ROC) curve was constructed to determine the accuracy of the change scores in predicting whether patients had improved or not as a result of the treatment. Based on the global transition judgements, 60.2% of subjects reported improved oral health, 33.6% reported no change, and only 6.2% reported that it was a little worse. These changes are reflected in mean pre- and post-treatment OHIP-14 scores that declined from 15.8 to 11.5 (P < 0.001). Mean change scores showed a consistent gradient in the expected direction across categories of the global transition judgement, but differences between the groups were not significant. However, paired t-tests showed no significant differences in the pre- and post-treatment scores of stable subjects, but showed significant declines for subjects who reported improvement. Analysis of data from stable subjects indicated that OHIP-14 had excellent test-retest reliability with an intraclass correlation coefficient (ICC) of 0.84. Effect size based on change scores for all subjects and subgroups of subjects were small to moderate. The ROC analysis indicated that OHIP-14 change scores were not good "diagnostic tests" of improvement. The minimal important difference for the OHIP-14 was of 5-scale points, but detecting this difference would require relatively large sample sizes. OHIP-14 appeared to be responsive to change. However, the magnitude of change that it detected in the context described here was modest, probably because it was designed primarily as a discriminative measure. The psychometric properties of the global transition judgements that often provide the "gold standard" for responsiveness studies need to be established. |
Author | Jokovic, Aleksandra Locker, David Clarke, Martha |
Author_xml | – sequence: 1 givenname: David surname: Locker fullname: Locker, David organization: Community Dental Health Services Research Unit, Faculty of Dentistry, University of Toronto, Toronto, Canada – sequence: 2 givenname: Aleksandra surname: Jokovic fullname: Jokovic, Aleksandra organization: Community Dental Health Services Research Unit, Faculty of Dentistry, University of Toronto, Toronto, Canada – sequence: 3 givenname: Martha surname: Clarke fullname: Clarke, Martha organization: Community Dental Health Services Research Unit, Faculty of Dentistry, University of Toronto, Toronto, Canada |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/14961835$$D View this record in MEDLINE/PubMed |
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References | Juniper E, Guyatt G, Streiner D, King D. Clinical impact versus factor analysis for quality of life questionnaire construction. J Clin Epidemiol 1997;50: 233-8. Norman G, Stratford P, Regehr G. Methodological problems in the retrospective computation of responsiveness to change: the lesson of Cronbach. J Clin Epidemiol 1997;50: 869-79. Juniper E, Guyatt G, Feeny D, Ferrie P, Griffith L, Townsend M. Measuring quality of life in children with asthma. Qual Life Res 1996;5: 35-46. Deyo R, Centor R. Assessing the responsiveness of functional scales to clinical change: an analogy to diagnostic test performance. J Chronic Dis 1986;39: 897-906. Awad M, Locker D, Korner-Bitensky N, Feine J. Measuring the effect of implant rehabilitation on health related quality of life in a randomized clinical trial. J Dent Res 2000;79: 1659-63. Allen PF, McMillan AS, Walshaw D. A patient-based assessment of implant stabilized and conventional complete dentures. J Prosthet Dent 2001;85: 141-7. Kirshner B, Guyatt G. A methodological framework for assessing health indices. J Chronic Dis 1985;38: 27-36. Jaeschke R, Singer J, Guyatt G. Measurement of health status: ascertaining the minimal clinically important difference. Control Clin Trials 1989;10: 407-15. Juniper G, Guyatt G, Willan A, Griffith L. Determining a minimal important change in a disease-specific quality of life questionnaire. J Clin Epidemiol 1994;47: 81-7. Locker D, Allen PF. Developing short form measures of oral health related quality of life. J Public Health Dent 2002;62: 13-20. Allen PF, Locker D. A modified short version of the oral health impact profile for assessing health-related quality of life in edentulous patients. Int J Prosthodont 2002;15: 446-50. Deyo R, Patrick D. Reproducibility and responsiveness of health status measures: statistics and strategies for evaluation. Control Clin Trials 1991;12: 142S-58S. Locker D. Applications of self-reported assessments of oral health outcomes. J Dent Educ 1996;60: 494-500. Guyatt G, Osoba D, Wu A, Wyrwich K, Norman G. Methods to explain the significance of health status measures. Hamiton, Ontario: Clinical Significance Consensus Meeting Group, Unpublished paper, 2002. Cohen J. Statistical power analysis for the behavioural sciences, 2nd edn. Hillsdale, NJ: Lawrence Erlbaum and Associates; 1988. MacKenzie C, Charlson M, DiGioia D, Kelley K. Can the sickness impact profile measure change? An example of scale assessment. J Chronic Dis 1986;39: 429-36. Juniper E, Guyatt G, Feeny D, Ferrie P, Griffith L, Townsend M. Measuring quality of life in asthma. Am Rev Respir Dis 1993;147: 832-8. Guyatt G, Walter S, Norman G. Measuring change over time: assessing the usefulness of evaluative instruments. J Chron Dis 1987;2: 171-8. Slade G, Slade G. Derivation and validation of a short-form oral health impact profile. Community Dent Oral Epidemiol 1997;25: 284-90. Fitzpatrick R, Ziebland S, Jenkinson C, Mowat A. A comparison of the sensitivity to change of several health status measurements in rheumatoid arthritis. J Rheumatol 1993;20: 429-36. Beaton D, Hogg-Johnson S, Bombardier C. Evaluating changes in health status. Reliability and responsiveness of five generic health status measures in workers with soft tissue injuries. J Clin Epidemiol 1997;50: 79-93. Slade G., editor. Measuring oral health and quality of life. Chapel Hill: University of North Carolina, Dental Ecology; 1997. 1987; 2 2002; 15 1997; 50 1989; 10 1991; 12 2000; 79 2002; 62 1997; 25 1993; 20 1996; 60 1997 1986; 39 1994; 47 1994 2002 1993; 147 1996; 5 1986;; 39 2001; 85 1985; 38 1988 e_1_2_5_14_2 Fitzpatrick R (e_1_2_5_20_2) 1993; 20 e_1_2_5_9_2 e_1_2_5_16_2 e_1_2_5_24_2 e_1_2_5_8_2 e_1_2_5_15_2 e_1_2_5_7_2 e_1_2_5_22_2 e_1_2_5_6_2 e_1_2_5_23_2 e_1_2_5_4_2 e_1_2_5_11_2 e_1_2_5_3_2 Cohen J. (e_1_2_5_21_2) 1988 e_1_2_5_2_2 e_1_2_5_18_2 e_1_2_5_17_2 e_1_2_5_19_2 Allen PF (e_1_2_5_12_2) 2002; 15 Ziebland S. (e_1_2_5_13_2) 1994 Slade G. (e_1_2_5_5_2) 1997 Guyatt G (e_1_2_5_10_2) 2002 |
References_xml | – reference: Allen PF, McMillan AS, Walshaw D. A patient-based assessment of implant stabilized and conventional complete dentures. J Prosthet Dent 2001;85: 141-7. – reference: Beaton D, Hogg-Johnson S, Bombardier C. Evaluating changes in health status. Reliability and responsiveness of five generic health status measures in workers with soft tissue injuries. J Clin Epidemiol 1997;50: 79-93. – reference: Allen PF, Locker D. A modified short version of the oral health impact profile for assessing health-related quality of life in edentulous patients. Int J Prosthodont 2002;15: 446-50. – reference: Cohen J. Statistical power analysis for the behavioural sciences, 2nd edn. Hillsdale, NJ: Lawrence Erlbaum and Associates; 1988. – reference: Fitzpatrick R, Ziebland S, Jenkinson C, Mowat A. A comparison of the sensitivity to change of several health status measurements in rheumatoid arthritis. J Rheumatol 1993;20: 429-36. – reference: Jaeschke R, Singer J, Guyatt G. Measurement of health status: ascertaining the minimal clinically important difference. Control Clin Trials 1989;10: 407-15. – reference: Locker D. Applications of self-reported assessments of oral health outcomes. J Dent Educ 1996;60: 494-500. – reference: Juniper E, Guyatt G, Feeny D, Ferrie P, Griffith L, Townsend M. Measuring quality of life in asthma. Am Rev Respir Dis 1993;147: 832-8. – reference: Guyatt G, Walter S, Norman G. Measuring change over time: assessing the usefulness of evaluative instruments. J Chron Dis 1987;2: 171-8. – reference: Slade G, Slade G. Derivation and validation of a short-form oral health impact profile. Community Dent Oral Epidemiol 1997;25: 284-90. – reference: Norman G, Stratford P, Regehr G. Methodological problems in the retrospective computation of responsiveness to change: the lesson of Cronbach. J Clin Epidemiol 1997;50: 869-79. – reference: MacKenzie C, Charlson M, DiGioia D, Kelley K. Can the sickness impact profile measure change? An example of scale assessment. J Chronic Dis 1986;39: 429-36. – reference: Deyo R, Centor R. Assessing the responsiveness of functional scales to clinical change: an analogy to diagnostic test performance. J Chronic Dis 1986;39: 897-906. – reference: Guyatt G, Osoba D, Wu A, Wyrwich K, Norman G. Methods to explain the significance of health status measures. Hamiton, Ontario: Clinical Significance Consensus Meeting Group, Unpublished paper, 2002. – reference: Juniper E, Guyatt G, Feeny D, Ferrie P, Griffith L, Townsend M. Measuring quality of life in children with asthma. Qual Life Res 1996;5: 35-46. – reference: Deyo R, Patrick D. Reproducibility and responsiveness of health status measures: statistics and strategies for evaluation. Control Clin Trials 1991;12: 142S-58S. – reference: Locker D, Allen PF. Developing short form measures of oral health related quality of life. J Public Health Dent 2002;62: 13-20. – reference: Awad M, Locker D, Korner-Bitensky N, Feine J. Measuring the effect of implant rehabilitation on health related quality of life in a randomized clinical trial. J Dent Res 2000;79: 1659-63. – reference: Slade G., editor. Measuring oral health and quality of life. Chapel Hill: University of North Carolina, Dental Ecology; 1997. – reference: Juniper G, Guyatt G, Willan A, Griffith L. Determining a minimal important change in a disease-specific quality of life questionnaire. J Clin Epidemiol 1994;47: 81-7. – reference: Kirshner B, Guyatt G. A methodological framework for assessing health indices. J Chronic Dis 1985;38: 27-36. – reference: Juniper E, Guyatt G, Streiner D, King D. Clinical impact versus factor analysis for quality of life questionnaire construction. J Clin Epidemiol 1997;50: 233-8. – volume: 60 start-page: 494 year: 1996 end-page: 500 article-title: Applications of self‐reported assessments of oral health outcomes publication-title: J Dent Educ – volume: 20 start-page: 429 year: 1993 end-page: 36 article-title: A comparison of the sensitivity to change of several health status measurements in rheumatoid arthritis publication-title: J Rheumatol – volume: 39 start-page: 897 year: 1986; end-page: 906 article-title: Assessing the responsiveness of functional scales to clinical change: an analogy to diagnostic test performance publication-title: J Chronic Dis – volume: 85 start-page: 141 year: 2001 end-page: 7 article-title: A patient‐based assessment of implant stabilized and conventional complete dentures publication-title: J Prosthet Dent – volume: 50 start-page: 79 year: 1997 end-page: 93 article-title: Evaluating changes in health status. Reliability and responsiveness of five generic health status measures in workers with soft tissue injuries publication-title: J Clin Epidemiol – volume: 47 start-page: 81 year: 1994 end-page: 7 article-title: Determining a minimal important change in a disease‐specific quality of life questionnaire publication-title: J Clin Epidemiol – volume: 10 start-page: 407 year: 1989 end-page: 15 article-title: Measurement of health status: ascertaining the minimal clinically important difference publication-title: Control Clin Trials – volume: 12 start-page: 142S year: 1991 end-page: 58S article-title: Reproducibility and responsiveness of health status measures: statistics and strategies for evaluation publication-title: Control Clin Trials – year: 2002 – volume: 50 start-page: 869 year: 1997 end-page: 79 article-title: Methodological problems in the retrospective computation of responsiveness to change: the lesson of Cronbach publication-title: J Clin Epidemiol – year: 1988 – volume: 38 start-page: 27 year: 1985 end-page: 36 article-title: A methodological framework for assessing health indices publication-title: J Chronic Dis – year: 1997 – volume: 15 start-page: 446 year: 2002 end-page: 50 article-title: A modified short version of the oral health impact profile for assessing health‐related quality of life in edentulous patients publication-title: Int J Prosthodont – volume: 2 start-page: 171 year: 1987 end-page: 8 article-title: Measuring change over time: assessing the usefulness of evaluative instruments publication-title: J Chron Dis – volume: 147 start-page: 832 year: 1993 end-page: 8 article-title: Measuring quality of life in asthma publication-title: Am Rev Respir Dis – volume: 50 start-page: 233 year: 1997 end-page: 8 article-title: Clinical impact versus factor analysis for quality of life questionnaire construction publication-title: J Clin Epidemiol – volume: 62 start-page: 13 year: 2002 end-page: 20 article-title: Developing short form measures of oral health related quality of life publication-title: J Public Health Dent – volume: 5 start-page: 35 year: 1996 end-page: 46 article-title: Measuring quality of life in children with asthma publication-title: Qual Life Res – volume: 39 start-page: 429 year: 1986 end-page: 36 article-title: Can the sickness impact profile measure change? An example of scale assessment publication-title: J Chronic Dis – volume: 79 start-page: 1659 year: 2000 end-page: 63 article-title: Measuring the effect of implant rehabilitation on health related quality of life in a randomized clinical trial publication-title: J Dent Res – year: 1994 – volume: 25 start-page: 284 year: 1997 end-page: 90 article-title: Derivation and validation of a short‐form oral health impact profile publication-title: Community Dent Oral Epidemiol – volume-title: Measuring oral health and quality of life year: 1997 ident: e_1_2_5_5_2 – ident: e_1_2_5_17_2 doi: 10.1016/0197-2456(89)90005-6 – volume-title: Statistical power analysis for the behavioural sciences year: 1988 ident: e_1_2_5_21_2 – ident: e_1_2_5_23_2 doi: 10.1111/j.1752-7325.2002.tb03415.x – ident: e_1_2_5_22_2 doi: 10.1016/0021-9681(86)90038-X – ident: e_1_2_5_18_2 doi: 10.1016/S0895-4356(96)00377-0 – volume: 20 start-page: 429 year: 1993 ident: e_1_2_5_20_2 article-title: A comparison of the sensitivity to change of several health status measurements in rheumatoid arthritis publication-title: J Rheumatol – ident: e_1_2_5_3_2 doi: 10.1067/mpr.2001.113214 – volume-title: Measuring health and medical outcomes year: 1994 ident: e_1_2_5_13_2 – ident: e_1_2_5_15_2 doi: 10.1007/BF00435967 – ident: e_1_2_5_19_2 doi: 10.1016/0021-9681(86)90110-4 – volume-title: Methods to explain the significance of health status measures year: 2002 ident: e_1_2_5_10_2 doi: 10.4065/77.4.371 – ident: e_1_2_5_8_2 doi: 10.1016/0021-9681(87)90069-5 – ident: e_1_2_5_11_2 doi: 10.1111/j.1600-0528.1997.tb00941.x – ident: e_1_2_5_24_2 doi: 10.1016/S0895-4356(97)00097-8 – ident: e_1_2_5_14_2 doi: 10.1164/ajrccm/147.4.832 – ident: e_1_2_5_7_2 doi: 10.1016/S0895-4356(96)00296-X – ident: e_1_2_5_6_2 doi: 10.1016/0021-9681(85)90005-0 – ident: e_1_2_5_16_2 doi: 10.1016/0895-4356(94)90036-1 – ident: e_1_2_5_2_2 doi: 10.1177/00220345000790090401 – ident: e_1_2_5_4_2 doi: 10.1002/j.0022-0337.1996.60.6.tb03056.x – volume: 15 start-page: 446 year: 2002 ident: e_1_2_5_12_2 article-title: A modified short version of the oral health impact profile for assessing health‐related quality of life in edentulous patients publication-title: Int J Prosthodont – ident: e_1_2_5_9_2 doi: 10.1016/S0197-2456(05)80019-4 |
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Objectives: This paper illustrates ways of assessing the responsiveness of measures of oral health‐related quality of life (OHRQoL) by examining the... Abstract – Objectives: This paper illustrates ways of assessing the responsiveness of measures of oral health‐related quality of life (OHRQoL) by examining... This paper illustrates ways of assessing the responsiveness of measures of oral health-related quality of life (OHRQoL) by examining the sensitivity of the... |
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SubjectTerms | Aged Aged, 80 and over Analysis of Variance Dental Care for Aged - psychology Female global transition judgements Humans Longitudinal Studies Male Middle Aged Oral Health oral health-related quality of life Quality of Life reliability Reproducibility of Results responsiveness ROC Curve Sickness Impact Profile Surveys and Questionnaires validity |
Title | Assessing the responsiveness of measures of oral health-related quality of life |
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