Self-Reported Obstacles to Regular Dental Care among Information Technology Professionals

Utilization of dental care services among adult Indian population: A meta-analysis of evidence from 2011-2022

Background: This study aimed to generate a pooled national estimate on dental health care services utilization by the adult population in India from any public or private facility in an effort to highlight the demand and usage for oral health care. Methods: In this meta-analysis, PubMed, ScienceDirect, DOAJ, and Google Scholar were searched using a search strategy that combined MeSH headings and keywords (e.g., "Oral Health", "Dental Health Services", utilization, India, etc.) for articles on dental utilization among Indian adults, published between January 2011 and June 2022. Study quality was assessed using the NIH Quality assessment tool, and a random-effects inverse-variance method was used for pulling utilization proportions. Meta-regression and sub-group analyses were conducted to identify the sources of heterogeneity. Heterogeneity is reported as I². To examine publication bias, the funnel plot, egger's test, and trim-and-fill analysis were performed. Results: From 4012 identified articles, 21 were eligible for inclusion. The pooled dental care utilization amongst Indian adults were found to be 23.96% (confidence interval [CI]: 16.81%- 31.11%, P<0.001, I²=98.93%), and the highest estimate was in South Zone (30.02%, CI: 19.14-40.90, P<0.01, I²=98.63%). Visual inspection of the funnel plot revealed the presence of publication bias (egger's P value 0.02). A mild decrease in utilization estimate was noted through trim and fill analysis (adjusted estimate 17.65%, CI: 8.97-26.33, P=0.03). No significant subgroup effect was found for the variables study zone and conduction years (P value: 0.09 & 0.34 respectively). Conclusion: Future studies should be undertaken to focus on the demand and supply of oral health care services since an evidential gap has been identified due to the uneven distribution of studies available from various regions of India. The heterogeneity can be attributed to the diverse socioeconomic, literacy, and inherent health system performance status.

A crossectional investigation of the relationship between complementary health insurance and frequency of dental visits in 15 to 64 years old of Tehran population, Iran, a secondary data analysis (urban HEART-2)

Background

This study aimed to investigate the relationship between complementary health insurance and frequency of dental visits.

Methods

The present study was performed using the Urban Health Equity Assessment and Response Tool (Urban HEART). A cross-sectional study was conducted in Tehran (Iran) to assess inequalities in health status among different socioeconomic and ethnic groups, genders, geographical areas, and social determinants of health. Out of 20,320 records retrieved from the original study with dental information, 17,252 had both dental insurance and dental visit information. Complementary health insurance as the main independent variable had three categories (i.e., basic insurance, with complementary medical coverage, and with dental coverage). The frequency of dental visits during the last year as a dependent variable had also three categories (i.e., no visit, one, and two, or more dental visits in the last year). In this study, in addition to investigating the relationship between complementary health insurance and frequency of dental visits, potential covariates that may affect the mentioned relationship were evaluated in the regression model. Statistical analyses included simple and multiple multinomial logistic regression considering the sampling method and sampling weights.

Results

The meanage of 17,252 participants (Tehran citizens) was 39.36 years; 49.4%were women, 86.0%hadonly basicinsurance, 7.2% had complementary medical insurance, and 6.8% had complementary dental insurance. Of all subjects, 43.8% reported no dental visit, 26.1% reported one, and 30.1% reportedtwoor more dental visits during the lastyear. The frequency of dental visits was lower in people who had basic insurance than others such that that odds ratio (OR) was 0.73 (p-value < 0.001) for one visit and 0.68 (p-value< 0.001) for two or more visits in the last year. The frequency of dental visits was also positively associated with dental brushing, toothpaste use, high educational level, being married, having more than 20 teeth, and having dental pain.

Conclusion

Having dental insurance increases the frequency of dental visits but the association between dental insurance and dental visits was independently influenced by other predictors.