A novel staging system for caries severity in the primary dentition

Robertson, Lawrence D.; Beltrán-Aguilar, Eugenio D.; Dasanayake, Ananda P.; Phipps, Kathy R.; Warren, John J.; Hennessy, Thomas W.

doi:10.1111/jphd.12164

Cited by 2 publications

(1 citation statement)

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“…One example of such a disease is otitis media, which is a common proxy disease utilized by the United Kingdom National Institute for Healthcare Excellence to calculate cost-effectiveness of caries prevention interventions ( 27 ). Next, PACT is using a validated scoring system that relates dmf index scores to probability of symptom outcomes ( 28 ) to translate prevalence data based on dmf scores to the prevalence of different symptom levels stemming from caries. This process generates distinct utilities for different caries severity that can be employed in the CUA.…”

Section: Resultsmentioning

confidence: 99%

Cost-effectiveness analysis design for interventions to prevent children's oral disease

Spetz,

Rose,

Kahn

et al. 2024

Front. Oral. Health

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IntroductionIn 2015, the National Institute of Dental and Craniofacial Research (NIDCR) launched the Multidisciplinary Collaborative Research Consortium to Reduce Oral Health Disparities in Children, supporting four randomized trials testing strategies to improve preventive care. A Coordinating Center provides scientific expertise, data acquisition and quality assurance services, safety monitoring, and final analysis-ready datasets. This paper describes the trials' economic analysis strategies, placing these strategies within the broader context of contemporary economic analysis methods.MethodsThe Coordinating Center established a Cost Collaborative Working Group to share information from the four trials about the components of their economic analyses. Study teams indicated data sources for their economic analysis using a set of structured tables. The Group meets regularly to share progress, discuss challenges, and coordinate analytic approaches.ResultsAll four trials will calculate incremental cost-effectiveness ratios; two will also conduct cost-utility analyses using proxy diseases to estimate health state utilities. Each trial will consider at least two perspectives. Key process measures include dental services provided to child participants. The non-preference-weighted Early Childhood Oral Health Impact Scale (ECOHIS) will measure oral health-related quality of life. All trials are measuring training, implementation, personnel and supervision, service, supplies, and equipment costs.ConclusionsConsistent with best practices, all four trials have integrated economic analysis during their planning stages. This effort is critical since poor quality or absence of essential data can limit retrospective analysis. Integrating economic analysis into oral health preventive intervention research can provide guidance to clinicians and practices, payers, and policymakers.

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Section: Resultsmentioning

confidence: 99%