Willingness to Pay for Preventive Dental Care Amongst Older Adults

Mittal, Rakhi; Loke, Wong Mun; Seng, Desmond Ong Luan; Na, Tan Mei; Yan, Gabriel Lee Keng; Allen, Patrick

doi:10.1016/j.identj.2021.11.002

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…This may explain why neither Medicare nor Medicaid incentivises adult preventive care [37], and why annual SKaPa data show that caries preventive measure use increases parallel with increased prevalence of fillings, except in the oldest age groups, despite government subsidisation [10]. Older adults may even choose extraction before paying for prevention [48]. This context may also explain why caries experience progressed with age herein, and suggests that effective preventive strategies have not reached those at highest caries risk in Sweden.…”

Section: Discussionmentioning

confidence: 99%

Identification of Swedish caries active individuals aged 30–90 years using a life course perspective and SKaPa longitudinal national registry data over a 10-year period

Flink,

Hedenbjörk-Lager,

Liljeström

et al. 2024

AOS

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Objective: To describe the occurrence of caries disease from a life course perspective using longitudinal data from the Swedish Quality Registry for Caries and Periodontal Disease (SKaPa). Material and Methods: Data from seven age cohorts (ages 30–90 years), each followed over 10 years, were retrieved from the SKaPa. Using a three-trajectory model, individuals were divided into three trajectories according to their caries development over time: high (15%), moderate (45%), or low (40%). Caries experience was expressed as the mean decayed, missing, and filled surfaces (DMFS) index. Results: Significant differences were found for all three trajectories and in all age groups over the 10 years. The mean DMFS index increase was significantly larger for the high trajectory group than for the moderate and low trajectory groups across all age cohorts. An increase in caries experience was observed for the older cohorts across all trajectories. Conclusions: A three-trajectory model appears useful for identifying and quantifying caries experiences in longitudinal studies. Increased caries disease occurs over time, especially in the highest trajectory group and among older cohorts. These findings emphasise the need for greater attention and more efficient caries prevention methods.

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Section: Discussionmentioning

confidence: 99%

Identification of Swedish caries active individuals aged 30–90 years using a life course perspective and SKaPa longitudinal national registry data over a 10-year period

Flink,

Hedenbjörk-Lager,

Liljeström

et al. 2024

AOS

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show abstract

“…There is a debate worldwide about who should cover dental care: the patient alone, the government alone, or by the patient with subsidization from the government. 3 - 6 This debate is ongoing in Saudi Arabia, which currently has a national health service covered by the government. Other countries have already started to reform.…”

Section: Discussionmentioning

confidence: 99%

Transformation of dental services from a governmental model to a revenue-generation model of operation in a tertiary care hospital: a health economics assessment

et al. 2022

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BACKGROUND: Healthcare in Saudi Arabia is under transformation from a national free health service to a system paid either by insurance or governmental funds. This change will impact the model of operation including dental services. OBJECTIVES: Estimate the revenue of the Department of Dentistry based on an insurance-based billing system. DESIGN: Medical record review SETTING: An academic tertiary care hospital in Riyadh PATIENT AND METHODS: Data on outpatient visits for the period 2015-2019 was extracted from the electronic health records. The billing data was categorized by specialty and current procedure terminology (CPT) code. The revenue stream for each CPT code was estimated and compared between the actual cost of service for each CPT code billed price, and average price of the market leaders in private practice. MAIN OUTCOME MEASURE: Revenue generated by the department. SAMPLE: 339 421 outpatient visits for 22 056 patients. RESULTS: Female and males made 179 555 (52.9%) and 159 858 (47.1%) outpatient visits, respectively. Outpatient divided by the age groups: ≤14,15-65, >65 years were 58 868 (17.3%), 251 552 (74.1%), 29 001 (8.5%), respectively. The visits divided by specialty were as follows: general dentistry 28.1%, pedodontics 12.5%, orthodontics 7.1%, endodontics 7.0%, oral and maxillofacial surgery 6.9%, prosthodontics 4.4% and periodontics 3.3%. Outpatient visits to the nursing clinic and hygienist amounted to 30.7%. The median number of visits per patient per year was 5 (range, 1-63), which increased to 6 (range, 1-110) in 2019. The annual revenue plateaued in 2019 at 13 983 538 SAR (3 728 943 USD) with only a 2.2% of increase from 2018. Out of 292 CPT codes, 44.8% were priced below the actual cost. Moreover, 28.4% showed pricing below actual cost, but higher than the price of the market leaders. There was an annual loss of revenue of 10.1% due to incorrect pricing of CPT codes. Average productivity of the dentist and hygienist amounted to 2263 and 760 visits per year, respectively. CONCLUSIONS: There is a need for improvement in delivery of care, cost-containment, productivity and amendment of charge description master pricing. LIMITATIONS: The sample did not include data from the period 2020-2022 due to the restriction of dental services due to the COVID-19 epidemic. CONFLICT OF INTEREST: None.

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Willingness to Pay for Preventive Dental Care Amongst Older Adults

Cited by 2 publications

References 21 publications

Identification of Swedish caries active individuals aged 30–90 years using a life course perspective and SKaPa longitudinal national registry data over a 10-year period

Identification of Swedish caries active individuals aged 30–90 years using a life course perspective and SKaPa longitudinal national registry data over a 10-year period

Transformation of dental services from a governmental model to a revenue-generation model of operation in a tertiary care hospital: a health economics assessment

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