PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 11922412

Quantifying dental inequality--developing the methodology.

Zoann Jane Nugent·Christopher Longbottom·Nigel Berry Pitts
View original source ↗Export metadata ↓

Abstract

OBJECTIVE: To develop a simple quantitative measure of dental health inequality. METHOD: Define equality based on statistical theory and construct a formula to compare actual and theoretical disease distributions. RESULT: A new index (DHII) is proposed, based on the ratio of the distribution of the actual disease to a (theoretical) Poisson distribution. An example using caries data is provided. CONCLUSION: Use of DHII will allow quantitative measurement of dental health inequality.

Explore related subjects

Binomial DistributionDMF IndexDental CareDental CariesHealth Services AccessibilityHumansModels, StatisticalPoisson DistributionPublic Health DentistrySocioeconomic FactorsJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Zoann Jane Nugent, Christopher Longbottom, Nigel Berry Pitts. 2002. Quantifying dental inequality--developing the methodology.. https://pubmed.ncbi.nlm.nih.gov/11922412/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2003

Truncated negative binomial mixed regression modelling of ischaemic stroke hospitalizations.

A zero-truncated negative binomial mixed regression model is presented to analyse overdispersed positive count data. The study is motivated by the determination of pertinent risk factors associated with ischaemic stroke hospitalizations. Random effects are incorporated in the linear predictor to adjust for inter-hospital variations and the dependency of clustered observations using the generalized linear mixed model approach. The method assists hospital administrators and clinicians to estimate the number of subsequent readmissions based on characteristics of the patient at the index stroke. The findings have important implications on resource usage, rehabilitation planning and management of acute stroke care.

Binomial Distribution↗
PubMed2003

[Evaluation of continuing medical education (CME) in print media].

BACKGROUND AND OBJECTIVE: In order to achieve points for the CME certificate of the German Medical Council ("Arztekammer") the reader of a CME article in a medical journal has to fill in an evaluation form that includes knowledge assessment. This article summarizes the data of the first ten CME presentations in the "Deutsche Medizinische Wochenschrift". METHODS: 4481 completed data sets were evaluated by chi-square and binomial tests using SPSS version 10.0. RESULTS: 85% of the participants were specialists, mainly in internal medicine or surgery: those working in private practice or a hospital took part. The great majority had received their licence one to 30 years ago. The topics dealt with diseases which were not uniformly often seen in clinical practice. The individually perceived changes in the strategy of diagnosis and therapy, induced by the CME article, was mainly dependent on qualification and specialization of the reader as well as on the frequency, with which the reader had been treating the respective disorder. The articles were appreciated by specialists as well as by non-specialists. Knowledge assessment was largely made on the basis of the article alone and was successfully passed by nearly 90% of the participants. CONCLUSION: For the first time this article provides detailed data on CME activities in a nation-wide available German medical journal and thus forms the basis for discussing further the definition of quality criteria for CME articles in medical journals.

Binomial Distribution↗