Developing a short form of Oral Health Impact Profile (OHIP) for dental aesthetics: OHIP-aesthetic

Periodontology & Public Health, Faculty of Dentistry, University of Hong Kong, Hong Kong SAR, China.
Community Dentistry And Oral Epidemiology (Impact Factor: 2.03). 03/2007; 35(1):64-72. DOI: 10.1111/j.1600-0528.2007.00330.x
Source: PubMed


To develop and evaluate shortened forms of the Oral Health Impact Profile (OHIP) for discriminating dental aesthetics problems and evaluating dental aesthetic outcomes.
Eighty-seven subjects self-completed the 49-item OHIP at baseline and 63 at follow up (8 weeks later), with the intervention of applying an array of tooth-whitening products. Expert-based approach and regression analysis (on baseline data) were undertaken to derive two subset questionnaires (OHIP-conceptual and OHIP-regression). Their discriminatory ability for dental aesthetics and their responsiveness to tooth whitening were compared with the original OHIP-49, Slade's OHIP-14 and a Chinese short-form version of OHIP.
The measures developed were strongly associated with self-rating of dental aesthetics (P < 0.001) unlike OHIP-49 (P = 0.03) or other OHIP short forms (P > 0.05). The measures were also reliable (Cronbach's alpha 0.86) and comparable with the other OHIP forms. In terms of effect size, OHIP-conceptual was more effective in measuring changes than the one based on the regression analysis, the original OHIP-49, OHIP-14 and the Chinese version of the short-form OHIP. It also exhibited a less susceptibility to floor effects than other OHIP forms.
A modified short form of the OHIP derived (OHIP-conceptual) was the most favorable in discriminating dental aesthetics, was reliable and most sensitive to the dental aesthetics intervention - tooth whitening.

38 Reads
  • Source
    • "Yet this breadth can be a disadvantage as generic measures may not detect the nuances of a specific condition or distinguish them from other impacts. Wong et al. (2007) showed that many OHIP items are irrelevant to specific oral health states, which prompted their work on a new instrument – OHIP-aesthetic. Elsewhere , OHIP-49 was found only partially responsive to changes following tooth whitening (McGrath et al. 2005). "
    [Show abstract] [Hide abstract]
    ABSTRACT: Boiko OV, Baker SR, Gibson BJ, Locker D, Sufi F, Barlow, APS, Robinson PG. Construction and validation of the quality of life measure for dentine hypersensitivity (DHEQ). J Clin Periodontol 2010; 37: 973–980. doi: 10.1111/j.1600-051X.2010.01618.x. Aim: To develop and validate a condition specific measure of oral health-related quality of life for dentine hypersensitivity (Dentine Hypersensitivity Experience Questionnaire, DHEQ). Materials and Methods: Questionnaire construction used a multi-staged impact approach and an explicit theoretical model. Qualitative and quantitative development and validation included in-depth interviews, focus groups and cross-sectional questionnaire studies in a general population (n=160) and a clinical sample (n=108). Results: An optimized DHEQ questionnaire containing 48 items has been developed to describe the pain, a scale to capture subjective impacts of dentine hypersensitivity, a global oral health rating and a scale to record effects on life overall. The impact scale had high values for internal reliability (nearly all item-total correlations >0.4 and Cronbach's α=0.86). Intra-class correlation coefficient for test–retest reliability was 0.92. The impact scale was strongly correlated to global oral health ratings and effects on life overall. These results were similar when DHEQ was validated in a clinical sample. Conclusions: DHEQ shows good psychometric properties in both a general population and clinical sample. Its use can further our understanding of the subjective impacts of dentine sensitivity.
    Journal Of Clinical Periodontology 11/2010; 37(11):973-80. DOI:10.1111/j.1600-051X.2010.01618.x · 4.01 Impact Factor
  • Source
    • "The appearance of one's mouth has been reported as one of the most important features in regards to facial attractiveness [8], with associated consequences on self-image, social interaction and psychological health [9]. There are many reasons for dissatisfaction with dental appearance, including concerns about missing teeth [10], the position, alignment or spacing of teeth [11], colour of teeth or oral soft tissues [12], scarring and trauma [13], presence of oral pathology [14] or presence of prosthodontic appliances [15]. The perceived associations between dento-facial attractiveness and social traits, such as personality and social status, make dental appearance a substantial concern for many people [16]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Oral health impairment comprises three conceptual domains; pain, appearance and function. This study sought to: (1) estimate the prevalence of severe oral health impairment as assessed by a summary oral health impairment measure, including aspects of dental pain, dissatisfaction with dental appearance and difficulty eating, among a birth cohort of Indigenous Australian young adults (n = 442, age range 16-20 years); (2) compare prevalence according to demographic, socio-economic, behavioural, dental service utilisation and oral health outcome risk indicators; and (3) ascertain the independent contribution of those risk indicators to severe oral health impairment in this population. Data were from the Aboriginal Birth Cohort (ABC) study, a prospective longitudinal investigation of Aboriginal individuals born 1987-1990 at an Australian regional hospital. Data for this analysis pertained to Wave-3 of the study only. Severe oral health impairment was defined as reported experience of toothache, poor dental appearance and food avoidance in the last 12 months. Logistic regression models were used to evaluate effects of demographic, socio-economic, behavioural, dental service utilisation and clinical oral disease indicators on severe oral health impairment. Effects were quantified as odds ratios (OR). The percent of participants with severe oral health impairment was 16.3 (95% CI 12.9-19.7). In the multivariate model, severe oral health impairment was associated with untreated dental decay (OR 4.0, 95% CI 1.6-9.6). In addition to that clinical indicator, greater odds of severe oral health impairment were associated with being female (OR 2.0, 95% CI 1.2-3.6), being aged 19-20 years (OR 2.1, 95% CI 1.2-3.6), soft drink consumption every day or a few days a week (OR 2.6, 95% 1.2-5.6) and non-ownership of a toothbrush (OR 1.9, 95% CI 1.1-3.4). Severe oral health impairment was prevalent among this population. The findings suggest that public health strategies that address prevention and treatment of dental disease, self-regulation of soft drink consumption and ownership of oral self-care devices are needed if severe oral health impairment among Indigenous Australian young adults is to be reduced.
    BMC Oral Health 01/2010; 10(1):1. DOI:10.1186/1472-6831-10-1 · 1.13 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: To develop Croatian and Slovenian versions of the 14-item Oral Health Impact Profile (OHIP) Questionnaire. The English original version of the OHIP questionnaire was translated into Croatian (OHIP-CRO14) and Slovenian (OHIP-SVN14) language by a forward-backward translation method. The psychometric properties of the OHIP-CRO14 and OHIP-SVN14 were tested. Concurrent validity was tested on 623 subjects (193 Croatian and 430 Slovenian), test-retest reliability on 115 subjects (55 Croatian and 60 Slovenian), internal consistency on 678 subjects (218 Croatian and 460 Slovenian), and responsiveness on 51 patients (21 Croatian and 30 Slovenian) in demand of treatment (toothache). Concurrent validity was confirmed by the association between the OHIP summary scores and self-reported oral health (correlation coefficients ranged from 0.40 to 0.60, P<0.001). Test-retest reliability showed high intraclass correlation (correlation coefficients, 0.79-0.94). Internal consistency showed high Cronbach alpha (0.77-0.91). Responsiveness was confirmed by a significant difference between the mean OHIP score at baseline and follow-up (P<0.001 for both Croatian and Slovenian patients) and high effect size in Croatian and Slovenian patients in demand of treatment (3.00 and 0.57, respectively). Psychometric properties of OHIP-CRO14 and OHIP-SVN14 render these instruments suitable for the assessment of Oral Health Related Quality of Life in Croatia and Slovenia.
    Croatian Medical Journal 09/2008; 49(4):536-44. DOI:10.3325/cmj.2008.4.536 · 1.31 Impact Factor
Show more