Oral cancer awareness in patients attending university dental clinics: A scoping review of Australian studies

Factors influencing delayed referral of oral cancer patients from family dentists to the core hospital

Background/purpose

Most oral cancer (OC) cases are identified by family dentists in Japan. However, a significant number of patients with OC in Japan are referred to core hospitals at advanced stages. Therefore, identifying the factors that contribute to delayed referrals from family dentists to core hospitals is crucial for detecting OC in its earlier stages. The aim of this retrospective study was to identify the risk factors for referral delays from family dentists to core hospitals.

Materials and methods

The study included 63 patients with OC who were referred by family dentists to the Yamagata University Hospital between 2010 and 2022. The clinical parameters related to referral delays were retrospectively investigated using letters of reference provided by the family dentists and patient charts. Backward multiple regression analysis was performed to identify the relationships between the length of referral delay and potential risk factors. Additionally, backward multivariate logistic regression analysis was performed to examine the independent association between referral delays of >4 weeks and several clinical parameters.

Results

Multiple regression analysis revealed that misdiagnosis of malignant lesions by family dentists (P = 0.047) was significantly associated with longer referral delays. Additionally, misdiagnosis of malignant lesions by family dentists was also an independent risk factor for referral delays of >4 weeks (odds ratio, 10.387; P = 0.006).

Conclusion

Misdiagnosis of malignant lesions by family dentists was a significant risk factor for referral delays from family dentists to core hospitals. Our results will motivate family dentists to improve their ability to diagnose OC.

Strategies to improve the care of older adults 50 years and above living with HIV in Uganda

INTRODUCTION

With effective antiretroviral therapy (ART), many persons living with HIV (PLHIV) live to old age. Caring for aged PLHIV necessitates the engagement of caregivers and patients to establish agreed-upon goals of treatment. However, there is limited literature on friendly and centered models of care for elderly PLHIV. We explored strategies to improve care in HIV clinics among PLHIV aged 50 years and above in Uganda.

METHODS

We conducted 40 in-depth interviews in two hospitals with elderly PLHIV aged 50 years and above who had lived with HIV for more than ten years. We explored strategies for improving care of elderly PLHIV at both health facility and community levels. The in-depth interviews were audio-recorded and transcribed verbatim. The thematic approach guided data analysis.

RESULTS

The elderly PLHIV suggested the following strategies to improve their care: creating geriatric clinics; increasing screening tests for non-communicable diseases in the ART clinics; community and home-based ART delivery; workshops at health facilities to provide health education on aging effectively; creating community support groups; financial assistance for the elderly PLHIV and advances in science.

CONCLUSIONS

There is need to improve community HIV care especially for the elderly and social and economic support in the community. Involving the elderly PLHIV in developing strategies to improve their health goes a long way to improve the patients' quality of care. There is a need to incorporate the raised strategies in HIV care or older adults.

Bayesian Disease Mapping to Identify High-Risk Population for Oral Cancer: A Retrospective Spatiotemporal Analysis

Objectives

Bayesian mapping is an effective spatiotemporal approach to identify high-risk geographic areas for diseases and has not been used to identify oral cancer hotspots in Australia previously. This retrospective disease mapping study was undertaken to identify the oral cancer trends and patterns within the Queensland state in Australia.

Methods

This study included data obtained from Queensland state Cancer Registry from 1982 to 2018. Domains mapped included the oral cancer incidence and mortality in Queensland (QLD). Local government areas (LGAs) and suburbs were utilized as geographical units for the estimation using Bayesian mapping approach.

Results

Of the 78 LGAs, 21 showed high-oral cancer incidence as measured using higher median smoothed incidence risk (SIR), above the state average. Specifically, nine LGAs within predominantly rural areas had SIR above 100% of the state average. Of these, only one LGA (Mount Isa City) had a median smoothed SIR and 95% CI of 2.61 (2.14-3.15) which was constantly above 100% of the state average. Furthermore, mortality risk estimated using smoothed mortality risk (SMR), were significantly higher than the state average in 31 LGAs. Seventeen LGAs had a median SMR above 100% of the state average while three LGAs had the highest overall, 3- and 5-year mortality risks. Considering the 95% credible interval which is indicative of the uncertainty around the estimates, three LGAs had the highest overall mortality risks-Yarrabah Aboriginal Shire (3.80 (2.16-6.39)), Cook Shire (3.37 (2.21-5.06)), and Mount Isa City (3.04 (2.40-3.80)).

Conclusion

Bayesian disease mapping approach identified multiple incidence and mortality hotspots within regional areas of the Queensland. Findings from our study can aid in designing targeted public health screening and interventions for primary prevention of oral cancer in regional and remote communities.

Knowledge, attitude, and practice in oral cancer: A national survey on 150 dental hygienists

OBJECTIVE

The aim of this study is to explore knowledge, practice, and attitude on oral cancer (OC) among a cohort of Italian dental hygienists, in consideration of their role in the field of early diagnosis.

MATERIALS AND METHODS

A cross-sectional study of 150 Italian dental hygienists was performed to assess the participant's knowledge, practice, and attitude on OC. Data were collected using a structured self-administered questionnaire (through Google Forms). The questionnaire included four sections: sociodemographic information, disease knowledge, answers related to attitudes toward OC, and a questionnaire assessing the practice of dental hygienists on oral screening.

RESULTS

Responses were received from 137 participants (83 women and 54 men). Overall, there is a good knowledge of the real risk factors among the participants (98.5%, 98.5%, and 94.2% regard smoking, alcohol, and HPV, respectively). The analysis related to the knowledge of non-risk factors, oral potentially malignant disorders, and clinical features of OC showed more heterogeneous results. Only 60% considered university education to be adequate. The totality of dental hygienists considered continuing education necessary, but despite this, only half took updating courses. Finally, 90% performed intraoral screening visits, and 95% and 69% investigated smoking and alcohol consumption, respectively.

CONCLUSIONS

Our data showed the need to implement OC training courses by re-evaluating pre- and post-graduate training programs.

Knowledge of Oral Cancer Risk Factors among International Medical and Dental Students at the Lithuanian University of Health Sciences: A Cross-Sectional Study

The aim of this study was to evaluate knowledge of oral cancer risk factors among international dental and medical students at the Lithuanian University of Health Sciences (LSMU). A cross-sectional study was conducted among international medical and dental students at the LSMU in 2018−2019. In total, 253 students participated, for a response rate of 76.2%. An anonymous self-administered English questionnaire, consisting of 18 items, covered background information (gender, faculty and academic study year), and statements about risk factors for oral cancer and attitudes towards the prevention and treatment of oral cancer. The fifteen statements had the following answer options: yes, no and I don’t know. The statistical data analysis was performed using SPSS version 22. Overall, a good, fair and poor knowledge of oral risk factors was reported by 15.02%, 56.92% and 28.06% of the participants, respectively. The mean score for knowledge of oral cancer risk factors was 10.01 (SD = 2.56), which was defined as fair knowledge. Cronbach’s alpha was found to be 0.78 (a good value). Bartlett’s sphericity test and the KMO index were adequate (χ2 = 677.563, p < 0.001; KMO = 0.788). This study demonstrates a lack of knowledge of oral cancer risk factors among international medical and dental students.