Purpose: The most commonly used oral health related quality of life measures, Oral Health Impact Profile (OHIP) and Oral Impact on Daily Performances (OIDP), are affected by cultural and linguistic factors, which may be intensified in a treatment-need driven society. This study therefore aimed to compare the psychometric properties of the OHIP-14 and OIDP measures in adult patients in Nigeria where patients typically visit the dentist when dental problems arise.

Materials And Methods: This was a cross-sectional study in which 264 patients attending two dental clinics were recruited. Data were collected with OHIP-14 and OIDP structured interviewer-administered questionnaires, global self-report and perceived need for dental treatment questions and by oral examination. Data collected were subjected to statistical analysis using SPSS version 19 and the level of statistical significance was set at a p-value of 0.05.

Results: The majority (61.0%) rated their oral health status poorly and 203 (76.9%) perceived a need for treatment. The average OHIP and OIDP scores were 12.0 (range 0 to 56) and 8.9 (range 0 to 40), respectively. Both instruments showed a high index of validity and reliability; both had similar face and content validity, however, OIDP had better criterion validity while OHIP-14 had better construct validity and internal consistency.

Conclusions: Both OHIP-14 and OIDP are precise, valid and reliable for evaluation of OHRQOL where dental care is treatment-need driven. They are able to discriminate between groups according to their perception of oral health status, but with OIDP detecting fewer impacts on daily activities.

Download full-text PDF

Source
http://dx.doi.org/10.3290/j.ohpd.a33089DOI Listing

Publication Analysis

Top Keywords

oral health
16
ohip-14 oidp
12
quality life
8
life measures
8
measures adult
8
treatment-need driven
8
data collected
8
health status
8
oidp
7
oral
6

Similar Publications

Pseudomonas aeruginosa (P. aeruginosa) is a major pathogen associated conditions like septicaemia, respiratory disorders, and diarrhoea in poultry, particularly in Japanese quail (Coturnix japonica). The infection causes huge economical losses due to its high transmissibility, mortality and zoonotic potential.

View Article and Find Full Text PDF

Background: Diabetes mellitus (DM) is a global health problem. Adherence to intensive insulin therapy is necessary to achieve better glycemic control in types 1 and 2 DM. This study aimed to evaluate the extent of adherence to insulin therapy, its predictors and to identify barriers to its adherence.

View Article and Find Full Text PDF

Background: This study aimed to investigate the quality and readability of online English health information about dental sensitivity and how patients evaluate and utilize these web-based information.

Methods: The credibility and readability of health information was obtained from three search engines. We conducted searches in "incognito" mode to reduce the possibility of biases.

View Article and Find Full Text PDF

This empirical study assessed the potential of developing a machine-learning model to identify children and adolescents with poor oral health using only self-reported survey data. Such a model could enable scalable and cost-effective screening and targeted interventions, optimizing limited resources to improve oral health outcomes. To train and test the model, we used data from 2,133 students attending schools in a Portuguese municipality.

View Article and Find Full Text PDF

Background: Direct oral anticoagulants (DOACs) can interfere with coagulation analyses, causing erroneous results such as false-positive lupus anticoagulant and false-normal antithrombin, threatening patient safety when overlooked. A test using a prothrombin time quotient method to detect DOAC presence in plasma samples is now commercially available, the MRX PT DOAC, with the result expressed as Clot Time Ratio (CTR).

Objectives: Evaluate the ability of MRX PT DOAC to identify interfering apixaban or rivaroxaban concentrations, identify non-interfering or interfering patient samples, and detect whether a patient is on DOAC treatment.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!