Advances and weaknesses of the work process of the oral cancer care network in Brazil: A latent class transition analysis

Territorial Disparities in Dental Care for Disabled Persons and Oral Health-Related Indicators: A Population-Level Approach in Brazil's Public Healthcare System from 2014 to 2023

This study evaluated territorial disparities in dental care for disabled persons in Brazil's public healthcare system from 2014 to 2023. The person-year incidence of outpatient dental procedures carried out by special care dentistry specialists and hospitalizations for dental procedures for disabled persons were compared across different regions and against the national estimate. In addition, productivity was correlated with oral health-related indicators. The significance level was set at 5%. The northern region exhibited the highest outpatient productivity, while the southern region showed lower productivity compared to the national estimate (both p-value < 0.05). This pattern was reversed in inpatient productivity (both p-value < 0.05), with the northeastern and central-western regions also below average (both p-value < 0.05). There were no significant correlations between the indicators and inpatient productivity, but outpatient productivity was positively correlated with the proportions of inhabitants who self-rated their general and oral health as "poor" or "very poor", who have never visited a dentist, and who visited a dentist for tooth extraction (all p-values < 0.05). Territorial disparities in dental care for disabled persons were observed within Brazil's public healthcare system, and they were correlated with unfavorable oral health-related indicators at the population level.

Can predictive factors determine the time to treatment initiation for oral and oropharyngeal cancer? A classification and regression tree analysis

This ecological study aimed to identify the factors with the greatest power to discriminate the proportion of oral and oropharyngeal cancer (OOC) records with time to treatment initiation (TTI) within 30 days of diagnosis in Brazilian municipalities. A descriptive analysis was performed on the variables grouped into five dimensions related to patient characteristics, access to health services, support for cancer diagnosis, human resources, and socioeconomic characteristics of 3,218 Brazilian municipalities that registered at least one case of OOC in 2019. The Classification and Regression Trees (CART) technique was adopted to identify the explanatory variables with greater discriminatory power for the TTI response variable. There was a higher median percentage of records in the age group of 60 years or older. The median percentage of records with stage III and IV of the disease was 46.97%, and of records with chemotherapy, radiation, or both as the first treatment was 50%. The median percentage of people with private dental and health insurance was low. Up to 75% had no cancer diagnostic support services, and up to 50% of the municipalities had no specialist dentists. Most municipalities (49.4%) started treatment after more than 30 days. In the CART analysis, treatment with chemotherapy, radiotherapy, or both explained the highest TTI in all municipalities, and it was the most relevant for predicting TTI. The final model also included anatomical sites in the oral cavity and oropharynx and the number of computed tomography services per 100,000. There is a need to expand the availability of oncology services and human resources specialized in diagnosing and treating OOC in Brazilian municipalities for a timely TTI of OOC.

Developing an initial set of quality indicators for chiropractic care: a scoping review

BACKGROUND

Quality indicators are standardized, evidence-based measures of health care quality. Currently, there is no basic set of quality indicators for chiropractic care published in peer-reviewed literature. The goal of this research is to develop a preliminary set of quality indicators, measurable with administrative data.

METHODS

We conducted a scoping review searching PubMed/MEDLINE, CINAHL, and Index to Chiropractic Literature databases. Eligible articles were published after 2011, in English, developing/reporting best practices and clinical guidelines specifically developed for, or directly applicable to, chiropractic care. Eligible non-peer-reviewed sources such as quality measures published by the Centers for Medicare and Medicaid Services and the Royal College of Chiropractors quality standards were also included. Following a stepwise eligibility determination process, data abstraction identified specific statements from included sources that can conceivably be measured with administrative data. Once identified, statements were transformed into potential indicators by: 1) Generating a brief title and description; 2) Documenting a source; 3) Developing a metric; and 4) Assigning a Donabedian category (structure, process, outcome). Draft indicators then traversed a 5-step assessment: 1) Describes a narrowly defined structure, process, or outcome; 2) Quantitative data can conceivably be available; 3) Performance is achievable; 4) Metric is relevant; 5) Data are obtainable within reasonable time limits. Indicators meeting all criteria were included in the final set.

RESULTS

Literature searching revealed 2562 articles. After removing duplicates and conducting eligibility determination, 18 remained. Most were clinical guidelines (n = 10) and best practice recommendations (n = 6), with 1 consensus and 1 clinical standards development study. Data abstraction and transformation produced 204 draft quality indicators. Of those, 57 did not meet 1 or more assessment criteria. After removing duplicates, 70 distinct indicators remained. Most indicators matched the Donabedian category of process (n = 35), with 31 structure and 4 outcome indicators. No sources were identified to support indicator development from patient perspectives.

CONCLUSIONS

This article proposes a preliminary set of 70 quality indicators for chiropractic care, theoretically measurable with administrative data and largely obtained from electronic health records. Future research should assess feasibility, achieve stakeholder consensus, develop additional indicators including those considering patient perspectives, and study relationships with clinical outcomes.

TRIAL REGISTRATION

Open Science Framework, https://osf.io/t7kgm.

The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model

OBJECTIVE

This study analyzes the effect of the Brazilian National Oral Health Policy (NOHP) on oral cancer mortality rates (OCMR).

METHOD

This is an ecological study with secondary oral cancer death data, using interrupted time series analysis (ARIMA, Autoregressive Integrated Moving Average). Annual death data were collected from the Mortality Information System (1996-2019). The outcome was the OCMR, standardized by gender and age We considered the NOHP, categorized as "0" (before its implementation), from 1996 to 2004, and "1 to 15", from 2005 to 2019. ARIMA modeling was carried out for temporal analysis, and regression coefficient estimation (RC).

RESULTS

The Brazilian NOHP implementation was associated with an increase in OCMR in the North region (CR = 0.16; p = 0.022) and with a decrease in the Southeast region (CR = -0.04; p<0.001), but did not affect the other macro-regions nor Brazil. The forecast models estimated an increase in OCMR for the North, and Northeast, a decrease for the Southeast, and stability for the South and Brazil.

CONCLUSION

The Brazilian NOHP is not being effective in reducing the OCMR. The trends behaved differently in the Brazilian territory, highlighting health inequities. We recommend that the NOHP strengthen the oral health care network, incorporating oral cancer as a notifiable disease, adopting strategies for prevention, screening, and providing opportunities for early treatment of the disease.

Factors related to the waiting time for scheduling an oral biopsy in Brazil: a multilevel analysis

BACKGROUND

Timely diagnosis of oral cancers is critical, and performing biopsies of oral lesions with suspected malignancy is a crucial step in achieving this goal. The waiting time for the diagnosis may be related to the progression and prognosis of malignant neoplasms.

OBJECTIVE

The aim of this observational, cross-sectional, national-level study was to identify the factors associated with the waiting time for scheduling an oral biopsy, based on the identification of its need.

METHODS

We used secondary data from the Brazilian public health system, obtained from the 2nd cycle of the National Program to Improve Access and Quality of Dental Specialty Centers (PMAQ-CEO). The study outcome was the waiting time for scheduling an oral biopsy, starting from the identification of the need for the exam. We analyzed individual and contextual variables using multilevel statistical analysis.

RESULTS

In 51.8% of DSC the waiting time for scheduling a biopsy was non-immediate; in 58.1% of CEOs, the sum of the weekly workload of dentists working in the Stomatology specialty is up to 20 h per week; in terms of coverage, 67.1% of the CEOs have only municipal coverage and 34.0% are references for up to 12 oral health teams in primary health care; only the coverage variable remained significant in the multivariate model (p < 0.05). Of the contextual variables, none of the variables remained significant (p > 0.05). When these were analyzed together, only the coverage remained significant (p < 0.05); CONCLUSION: Our analysis indicates that the waiting time for scheduling an oral biopsy is longer in CEOs that cover only one municipality and is not related to contextual factors.

Oral cancer care in the "Metropolitan I" health region in the state of Rio de Janeiro, Brazil: enabling and constraining factors

The aim was to identify constraining and enabling factors related to the organization of health care networks that influence access to oral cancer diagnosis and treatment. A case study in the "Metropolitan I" health region using data collected from health information systems and 26 semi-structured interviews with health managers and professionals. The data were analyzed using descriptive statistics and strategic conduct analysis, drawing on the theory of structuration proposed by Giddens. The findings reveal that coverage of oral health care in primary care services is generally low and prioritizes specific groups and urgent cases, hampering access to oral cancer diagnosis. While the presence of a network of secondary care services in the municipalities that make up the health region facilitates diagnosis, there are major barriers to treatment. Informal partnerships established with dental schools play an important role in diagnosis, but do not receive funding. The regulation of appointments for diagnosis was not restrictive. In contrast, the regulation of referrals for treatment lacked transparency, was subject to long delays, and shortage of places. Despite advances, constraining factors related to structure and the actions of agents involved in the care process persist, hampering the timely diagnosis and treatment of oral cancer.

Oral cancer care in the “Metropolitan I” health region in the state of Rio de Janeiro, Brazil: enabling and constraining factors

Abstract The aim was to identify constraining and enabling factors related to the organization of health care networks that influence access to oral cancer diagnosis and treatment. A case study in the “Metropolitan I” health region using data collected from health information systems and 26 semi-structured interviews with health managers and professionals. The data were analyzed using descriptive statistics and strategic conduct analysis, drawing on the theory of structuration proposed by Giddens. The findings reveal that coverage of oral health care in primary care services is generally low and prioritizes specific groups and urgent cases, hampering access to oral cancer diagnosis. While the presence of a network of secondary care services in the municipalities that make up the health region facilitates diagnosis, there are major barriers to treatment. Informal partnerships established with dental schools play an important role in diagnosis, but do not receive funding. The regulation of appointments for diagnosis was not restrictive. In contrast, the regulation of referrals for treatment lacked transparency, was subject to long delays, and shortage of places. Despite advances, constraining factors related to structure and the actions of agents involved in the care process persist, hampering the timely diagnosis and treatment of oral cancer.