Emergency and urgent dental visits among Medicaid enrollees from 2013 to 2017.

BACKGROUND: Better understanding of the frequency of dental emergencies and the procedures performed during those emergency visits can help providers, insurers, and policymakers understand workforce and care provision needs. METHODS: Procedures performed at an emergency dental encounter and in the encounter following that encounter are assessed. Emergency dental encounters are those with a CDT code of D0140, D0160, or D0170. Data was analyzed from the IBM Watson Medicaid Marketscan data from 2013 to 2017, a nationally representative dental and medical claims database from 13 deidentified states in the United States. RESULT: Consistently over time, about 10% of all dental encounters are due to a dental emergency. 28% of emergency dental encounters had no other procedure performed during those encounters. When other procedures were performed during the encounter, the majority were diagnostic in nature, primarily radiographs. Among patients who returned to the dentists following an emergency visit, 43% returned for more definitive dental treatment, most within 30 days. CONCLUSIONS: The majority of dental emergency encounters do not result in definitive treatment, rather patients often return to the dentist at a later date for that treatment. Where possible, dental providers could utilize teledental services to triage patients to appropriate care.

Understanding value in oral health: the oral health value-based care symposium.

OBJECTIVE: There are both opportunities and challenges with the implementation of oral health value-based care (OHVBC). To tackle concerns and advance conversation, a symposium was convened with subject matter experts to develop a gap analysis and capture insights into professional readiness for value-based care design. METHODS: The symposium was convened as a private event for 46 participants over the course of one and a half days in December 2019. Thematic analyses utilized the OHVBC Readiness Framework (DentaQuest Partnership, 2019) to further codify conversations as part of the gap-analysis process. Poll Everywhere, a text messaging application that allows participants to answer questions in real time, was also employed to solicit responses. RESULTS: Attendees of the symposium felt that OHVBC would have a large portion of market share within the next 10 years. A qualitative assessment of multiple table discussions determined that the participants developed more consensus around themes for the current state and the future-desired state than the action-planning needed to close the gap between the two. This may relate to individual ideology, and the siloed environment is still prevalent in the oral health realm. In a postsymposium survey, respondent attendees did not perceive that COVID-19 would delay or negatively impact the adoption of OHVBC and may result in accelerating its utilization. CONCLUSION: The oral health community is experiencing multiple drivers to adopt more OHVBC within business and care models. However, there is still a lack of uniformity on how to execute this delivery model.

MORE Care: an evaluation of an interprofessional oral health quality improvement initiative.

OBJECTIVE: This evaluation assesses the Medical Oral Expanded Care (MORE Care) initiative in four states that focused on oral health integration into primary care practices located in dental shortage areas. METHODS: This analysis is conducted using self-reported primary data collected from each of the participating MORE Care clinics in South Carolina, Pennsylvania, Colorado and Oregon. Three measures: the percentage of pediatric patients with a) fluoride varnish applied, b) self-management goals reviewed, and c) risk assessed, were evaluated to compare the impact and timing of change tactics on participating teams. An engagement dashboard tool was also hand coded with inductive codes using an adapted grounded theory approach common in applied health services research, to iteratively identify themes that could illuminate or explain quantitative findings. RESULTS: The average proportion of pediatric patients receiving fluoride varnish increased from 25 percent after the first collaborative learning session to 40 percent after the third collaborative learning session. The proportion of pediatric patients with self-management goals reviewed also improved, increasing from 25 percent to 62 percent. There was more variation in the proportion of pediatric patients with oral health risk assessments completed increasing from 47 percent to 77 percent. Qualitative analysis of MORE Care open text data produced three themes related to facilitators and barriers of project implementation and criteria for project success. CONCLUSIONS: The results of this analysis demonstrated that MORE Care is effective in creating an operational structure for integrating oral health care into primary care practices and most successful when participating clinics meet success criteria.

Predictors of Health-Care Utilization Among Children 6-59 Months of Age in Zambézia Province, Mozambique.

Globally, approximately 5.9 million children under 5 years of age died in 2015, a reduction of over 50% since 1990. Millennium Development Goal 4 established the goal of reducing child mortality by two-thirds by 2015. Multiple countries have surpassed this goal; however, regional and within-country inequities exist. We sought to study determinants of health-care utilization among children 6-59 months of age with fever, diarrhea, and respiratory symptoms in Zambézia Province, Mozambique. We conducted a population-based cross-sectional survey of female heads of household between April and May 2014. Mobile teams conducted interviews in 262 enumeration areas, with three distinct districts being oversampled for improved precision. Descriptive statistics and logistic regression using Stata 13.1 and R 3.2.2 were used to examine factors associated with health-care utilization. A total of 2,317 children were evaluated in this study. Mothers' median age was 26 years, whereas child median age was 24 months. The proportion of children reporting fever, diarrhea, or respiratory illness in the prior 30 days was 44%, 22%, and 22%, respectively. Health-care utilization varied with 65% seeking health care for fever, compared with 57% for diarrhea and 25% for respiratory illness. In multivariable logistic regression, the characteristics most associated with health-care utilization across illnesses were delivery of last child at a facility, higher maternal education, and household ownership of a radio. The decision or ability to use health care is a multifaceted behavior swayed by societal norms, values, socioeconomics, and perceived need. Recognizing the predictors of a particular population may offer useful information to increase uptake in health-care services.

Predictors of Health-Care Utilization Among Children 6-59 Months of Age in Zambézia Province, Mozambique

Abstract. Globally, approximately 5.9 million children under 5 years of age died in 2015, a reduction of over 50% since 1990. Millennium Development Goal 4 established the goal of reducing child mortality by two-thirds by 2015. Multiple countries have surpassed this goal; however, regional and within-country inequities exist. We sought to study determinants of health-care utilization among children 6­59 months of age with fever, diarrhea, and respiratory symptoms in Zambézia Province, Mozambique. We conducted a population-based cross-sectional survey of female heads of household between April and May 2014. Mobile teams conducted interviews in 262 enumeration areas, with three distinct districts being oversampled for improved precision. Descriptive statistics and logistic regression using Stata 13.1 and R 3.2.2 were used to examine factors associated with health-care utilization. A total of 2,317 children were evaluated in this study. Mothers' median age was 26 years, whereas child median age was 24 months. The proportion of children reporting fever, diarrhea, or respiratory illness in the prior 30 days was 44%, 22%, and 22%, respectively. Health-care utilization varied with 65% seeking health care for fever, compared with 57% for diarrhea and 25% for respiratory illness. In multivariable logistic regression, the characteristics most associated with health-care utilization across illnesses were delivery of last child at a facility, higher maternal education, and household ownership of a radio. The decision or ability to use health care is a multifaceted behavior swayed by societal norms, values, socioeconomics, and perceived need. Recognizing the predictors of a particular population may offer useful information to increase uptake in health-care services.