Prevalence of rapid calculus formers and its associated factors amongst patients visiting a dental hospital: a preliminary investigation.

BACKGROUND: This study focuses on the determination and classification of patients as rapid or slowcalculusformersbasedontherateofcalculusformationafteroralprophylaxis. It also aims to determine the factors that positively impact the formation and deposition of calculus in patients and identify the factors that accelerate or decelerate the deposition of calculus. METHODS: The study was conducted in the Department of Periodontology, Dr Harvansh Singh Judge Institute of Dental Sciences and Hospital, Panjab University Chandigarh, India. We examined 51 patients after a month of the oral prophylaxis, recorded the amount of calculus present in the oral cavity, and then recorded a detailed history which was briefly divided into Age, Sex, Residence, Oral habits, and maintenance of oral hygiene. RESULTS: An evident and meaningful link was found between age and the rate at which dental calculus forms. The average age of individuals differed significantly between the rapid and slow calculus formers, which could be ascribed to the decline in manual dexterity as age increases, resulting in less effective oral hygiene habits, including toothbrushing. None of the other factors dietary and oral hygiene related could be identified distinctly, probably owing to the small sample of the study. The oral health status exhibited a significant difference between slow and rapid calculus formers. CONCLUSIONS: Within the limitations of the study, the data analyzed, identified age as a significant determinant that impact the rate of formation of calculus in patients and reported a significant difference in the oral health status of rapid and slow calculus formers.

Analysis of hematology quality control using six sigma metrics.

INTRODUCTION: Clinical laboratories serve a critical role in increasing the efficiency of patient care. Choosing the right test, getting trustworthy results and appropriate interpretation are of utmost importance in improving the patient's well-being. Quality management strategies should be applied in routine patient care because laboratory errors have a major impact on the quality of patient care. In sigma metrics, errors identified are quantified as percentage errors or defects per million (DPM). It aims at improving the quality control (QC) process by forming an appropriate strategy. AIM AND OBJECTIVES: To analyze the internal quality control (IQC) of hematology analytes using the sigma metrics method and to devise the frequency of IQC by the results of six sigma metric analysis. MATERIALS AND METHODS: This study was conducted in a tertiary care center of western India. Internal quality control (IQC) data sets of five analytes- Red Blood Cell count (RBC), Hemoglobin (Hb), Hematocrit (Hct), White blood cell count (WBC), and Platelet count (PLT) were analyzed retrospectively of six months using Beckman Coulter DXH 800 hematology analyzers. RESULTS: The observed sigma value was >6 for Hb, TLC, and PLT, indicating excellent results and requiring no modification in IQC. The Sigma value was between 3 and 4 for RBC and Hct suggested the need for improvement in quality control (QC) processes. No analytes showed a Sigma value of <3. CONCLUSION: Sigma metrics provide a quantitative framework that helps to assess analytic methodologies and can serve as an important self-assessment tool for quality assurance in the clinical laboratory.