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BMJ Open logoLink to BMJ Open
. 2023 Feb 14;13(2):e066349. doi: 10.1136/bmjopen-2022-066349

Oral function and cumulative long-term care costs among older Japanese adults: a prospective 6-year follow-up study of long care receipt data

Kaori Kojima 1, Masashige Saito 2,3, Yasuhiro Miyaguni 2,4, Eisaku Okada 3,5, Toshiyuki Ojima 1,
PMCID: PMC9930558  PMID: 36787975

Abstract

Objectives

This study evaluated the relationship between status of oral function and related long-term care service costs.

Design

This was a prospective 6-year follow-up study of previous survey data.

Setting

The data were obtained from the Japan Gerontological Evaluation Study conducted between 2010 and 2011.

Participants

The participants were functionally independent older adults in 12 municipalities across Japan.

Interventions

Care service benefit costs were tracked over 6 years using publicly available claims records (n=46 616) to monitor respondents’ cumulative care costs.

Primary and secondary outcome measures

The primary outcome variable was the cumulative cost of long-term care insurance services during the follow-up period. We adjusted for the presence or absence of oral function problems, age, sex, physical function and socioeconomic and lifestyle background at the time of the baseline survey.

Results

Tobit analysis revealed that, compared with those with no oral function problems, cumulative long-term care service benefit costs for those with one, two or three oral function problems were approximately US$4020, US$4775 and US$82 92, respectively, over 6 years. Compared with those with maintained oral function, there was a maximum difference of approximately US$8292 in long-term care service costs for those with oral function problems. With increase in number of oral function problems, there was a concomitant elevation in the cost of long-term care.

Conclusions

Oral function in older people was associated with cumulative long-term care insurance costs. The oral function of older people should be maintained to reduce future accumulated long-term care insurance costs. Compared with those with maintained oral function, there was a maximum difference of approximately US$8292 in long-term care service costs for those with oral function problems. The cost of long-term care was amplified as oral problems increased.

Keywords: GERIATRIC MEDICINE, ORAL MEDICINE, PUBLIC HEALTH, Health policy


Strengths and limitations of this study.

  • The strength of this study is that it used a large-scale dataset involving data from numerous municipalities.

  • Because this was a questionnaire survey, it did not capture the entire population of older people living at home.

  • Selection bias may exist due to a valid response rate of 64.7%.

  • The follow-up period of 6 years was too short to reflect the lifetime cost of care.

  • The data were not adjusted for diseases and did not consider the type of healthcare service used.

Introduction

Globally, life expectancy is increasing. In Japan, the need for long-term care services is unrelenting, with constant increase in the number of older people requiring long-term care, together with lengthening of the period during which care is needed.1 Of the 35.55 million insured people aged ≥65 years, the number of those certified as requiring nursing care or support was 6.69 million in 2019 with the number continually growing.2 One in four to five persons aged ≥65 years requires long-term care, and the related medical expenses in the fiscal year 2019 amounted to US$270.629 billion. Additionally, the total number of long-term care insurance (LTCI) benefits in 2019 were reported to be 160.63 million, and the cost was US$104.567 billion.3

Japan’s LTCI system was established in 2000 as a system in which, the society as a whole supports the care of older adults. This insurance system provides benefits to those who need nursing care, and supports them by making appropriate services available to them. It aims to support physical independence, and reduce the burden on family members who provide care. The LTCI system consists of three parties: the insured, the insurer and the long-term care service provider. Municipalities act as insurers who administer the system, and all citizens aged ≥40 years are eligible to be insured. An insured person is one who subscribes to LTCI, and is eligible to receive long-term care services when he/she is certified as requiring it. If they are using the LTCI system, and are receiving long-term care services, they pay 10% of the cost at the counter (depending on income, the copayment can be up to 30%). The long-term care service provider company that provides the care services to the insured person, bills the insurer for the service cost, which the insured person receives from the insurer (municipality), except for the share to be paid by the insured person at the counter. This LTCI system is financed by public funds, and LTCI premiums. In total, the municipality and the insured person pay 50% each, for the LTCI premiums.4 The number of people insured by LTCI increased by 0.8% compared with that in the previous year. However, according to population estimates, 35.88 million of the 78.2 million people over the age of 40 as of 2019 will be aged 65 or older, and the amount of delinquent LTCI premiums is increasing.5 The insured’s LTCI premiums were raised from US$58.69 to 60.14 in 2021. This is a predicament that will lead to tightening of finances and household budgets.6

In older adults, an association between chewing and oral functions, overall health, physical fitness and mortality risk has been reported.7 Additionally, overall muscle strength declines with age. Along with other organs associated with the oral cavity, muscle fibre atrophy occur in the tongue with age.8 Furthermore, a decrease in overall body muscle mass affects mastication.7 The decline in physical function due to muscle weakness resulting from a decrease in skeletal muscle mass is referred to as sarcopenia.9 Poor oral function is associated with physical frailty and sarcopenia. Moreover, sarcopenia is also associated with dysphagia.10 The decline in eating function in old age is a cause of serious diseases, such as malnutrition, and is closely related to life expectancy.11

It is presumed that older adults with decline in oral functions are likely to incur higher nursing care costs due to the greater use of services. Care-need prevention is important to reduce the cost of government LTCI benefits. Particularly, it is necessary to shift the emphasis to prevention for those who require light nursing care. Oral frailty12 has been investigated recently, and evidence suggests that maintaining function from an early stage will help maintain oral function and, in the long run, prevent a decline in feeding and swallowing function.13

The association between oral function and healthcare costs has been reported.14–16 However, there are currently no reports on the cumulative cost of LTCI. This study aimed to elucidate the association between oral function and LTCI costs among older people based on claim records, through a questionnaire survey conducted among Japanese older adults living in several municipalities.

Methods

Study sample

The baseline population data were acquired from a self-reported questionnaire survey of community-dwelling people aged ≥65 years, with no physical or cognitive disabilities, and not receiving long-term care. Our data were derived from the Japan Gerontological Evaluation Study (JAGES).17 18 At the time of the baseline survey, respondents were not certified as needing long-term care. As such, respondents resided in the community. The JAGES survey was done by collecting self-administered questionnaires, which were mailed to a random sample of functionally independent individuals aged ≥65 years, from 12 participating municipalities between August 2010 and January 2012. In total, 51 302 responses were received (valid response rate: 64.7%) and unknown sex and age was excluded. The study population was limited to older adults who were not certified as needing long-term care at the time of the survey; it was combined with the actual LTCI benefits held by the government 6 years later. We obtained claim records from a governmental database regarding public LTCI benefits over a period of 6 years for every month from the baseline survey. To ascertain the respondents’ subsequent use of LTCIs, information on the actual insurance benefits provided by insurers, data on the certification of long-term care needs held by insurers, deaths and information on the imposition of LTCI premiums were collected in encrypted forms by the insurers. The provided data and questionnaire survey data were matched on an individual basis by the researcher based on the encrypted IDs to create a cohort data set for analysis. A total of 46 616 individuals (90.9% follow-up rate), excluding untraceable cases including in-migrants and out-migrants, were included in the analysis.

Outcome variables

The outcome variable was the cumulative cost of LTCI services during the follow-up period. Information regarding LTCI costs, or deaths was collected from the municipalities. In this analysis, we used the cumulative total of all service costs used during the follow-up period and all the costs for those who never received certification of need for assistance or care during the follow-up period, and those who died without using LTCI services were zero. Information regarding long-term care costs was ascertained based on the number-of-use points in the LTCI costs performance information, which was incorporated from the month the questionnaire survey was administered through November 2016. LTCI costs were ascertained for long-term care services using a similar follow-up period from August 2010 to November 2016.

Since the use of long-term care services is expected to be seasonally skewed, the analysis used a cumulative total of all service costs used during the follow-up period. The long-term care costs handled in this analysis are LTCI costs. The public LTCI do not include the cost of self-paid long-term care services not listed in the information on actual LTCI services. Costs for the purchase of welfare equipment and home modification were also not included. The independent variable was the cumulative cost of LTCI benefits over 6 years. The respondents were divided into two groups based on cumulative costs: US$0 and more USD. We used a currency exchange rate of JPY 100 to US$1.

Explanatory variables

Explanatory variables were those related to oral function at the time of the baseline survey. In Japan, to assess whether a person is eligible for nursing care prevention services or LTCI services, use of the Kihon Checklist (KCL) has been recommended by the Ministry of Health, Labour and Welfare.19 The KCL was created by the Ministry of Health, Labour and Welfare in Japan to help people aged ≥65 years reflect on their lives and health status and check for any decline in their physical or mental functions.20 It is used by the local governments, and in community consultations to screen for persons eligible for long-term care prevention programmes, and to assess the effectiveness of interventions. The KCL was automatically sent to all individuals ≥65 years on an annual basis up until 2014, but is now administered at the discretion of each local administration.21 The self-administered questionnaire consists of 25 questions on daily living, physical and mental functions which are answered with ‘yes’ or ‘no’ responses: five items each to evaluate activities related to daily living motor functions, and physical and mental functions; three items each to evaluate oral functions and cognitive functions; and two items each to evaluate low nutritional status and seclusion. The questionnaire group consists of questions in seven areas of depressive mood assessment. For each question, one point is added when a problem in daily functioning is considered to exist, and the higher the score, the more problems in daily functioning get recorded.22 The following three items related to oral function were used in this survey: ‘Do you find chewing hard food more difficult compared with half a year earlier?; Have you ever choked on tea or soup?; Are you bothered by a feeling of thirst?’. A response of yes to two or more of these was considered poor oral function and one yes or none was considered normal.23 24

Covariates

Sex, age, educational attainment, household equivalised income and marital status at the time of the baseline survey were used as basic attributes to be considered when examining the association with the use of long-term care services. Regarding demographic attributes, age was divided into five groups: 65–69, 70–74, 75–79, 80–84 and ≥85 years, socioeconomic background was categorised per household equivalised income (<US$20 thousand, US$20–40 thousand, ≥US$40 thousand). Household equivalised income was calculated by dividing the total income of the entire household by the square root of the number of household members. Educational attainment was assessed by <9, 9–12, >13 years of schooling. Life background, including marital status, was categorised as currently married, or as not married. Household composition was classified as, yes or no with or without a cohabitant. Geriatric Depression Rating Scale (GDS),25 activities of daily living (ADL) and smoking status were used as indicators of health status. The 15-item Geriatric Depression Scale (0–4 no depression, 5–10 mild depression and 11–15 severe depression) was used to evaluate depression.26–28 Smoking status was classified as no (never smoked, <4 years) and yes (≤4 years not smoking, still smoking). Missing values in the covariates were dummy coded and included as ‘Missing’ category in the analysis.

Statistical analyses

Descriptive statistics were sociodemographic variables and mean and percentages of LTCI costs over 6 years were stratified according to the two stratified groups: zero and more typology. Percentage comparisons were analysed using the χ2 test. Next, the 6-year cumulative LTCI costs were used as the independent variable to evaluate the association with oral function. The analysis was conducted using the tobit model,29 30 taking into account that the independent variable was not normally distributed with a concentration in the zero circles. In the analysis, after initially analysing with the crude model, the adjustment variables were put in the following order. Age and sex were added to model 1, while physical factors (ADL, GDS, smoking), and socioeconomic background (years of education, marital status, household structure, equivalent income) were added to model 2. SEs were used to estimate regression coefficients. Statistical analyses were conducted using STATA SE V.15.1 (Stata Corp). The statistical significance level was set at p<0.05. Accumulated care costs depend on the length of time care was needed. Therefore, the rates of those who were certified as needing care and those who died, and the number of days to get there, were calculated for each group in terms of the number of oral problems. Information such as the certification of the need for nursing care and the moving out of the country was provided by the insurer.

Patient and public involvement

No patient or the public were involved in the development of research question and design of this study. The results of this research will be disseminated to stakeholders such as local and central health government after being published in a scientific journal.

Results

The analysis showed that with zero expenses had an average age of 73.0 years, while those using care expenses had an average age of 79.2 years. The minimum cost was US$5.00, the maximum cost was US$235 536.90. Table 1 shows the baseline characteristics of the respondents and the average cumulative LTCI cost. Table 2 shows the Tobit regression differences in cumulative cost of LTCI services by number of oral problems. Table 3 shows the rate of those certified as requiring long-term care, mortality and days by the oral problem.

Table 1.

Baseline characteristics of the participants and cumulative long-term care insurance costs. (n=46 616)

Variables Categories Total US$0 US$1 or more
n n n mean SE 95% CI of the mean SD
Sex Male 21 585 18 502 85.72 3083 14.28 18 952.33 533.65 17 905.92 to 19 998.74 27 590.35
Female 25 031 20 766 82.96 4265 17.04 24 819.77 542.73 23 755.68 to 25 883.86 32 977.54
Age 65–69 13 256 12712 95.90 544 4.10 18 183.74 1333.29 15 564.05 to 20 803.44 29 483.42
70–74 13 744 12582 91.55 1162 8.45 16 788.02 853.48 15 113.25 to 18 462.78 27 404.61
75–79 10 536 8584 81.47 1952 18.53 19 843.02 690.84 18 488.04 to 21 198.01 28 584.58
80–84 6139 4005 65.24 2134 34.76 23 925.24 735.67 22 482.39 to 25 368.10 31 393.58
85 and older 2941 1385 47.09 1556 52.91 29 386.23 961.85 27 499.29 to 31 273.17 34 839.83
Oral function 0.00 23 298 20 523 88.09 2775 11.91 22 038.89 573.24 20 914.88 to 23 162.91 30 180.78
1.00 12 178 10 137 83.24 2041 16.76 22 642.72 698.77 21 272.34 to 24 013.10 31 560.89
2.00 4986 3902 78.26 1084 21.74 21 148.40 885.64 19 410.62 to 22 886.19 29 091.78
3.00 1720 1245 72.38 475 27.62 25 721.67 1671.76 22 436.66 to 29 006.67 36 396.87
Choked No 36 349 31 160 85.72 5189 14.28 22 501.65 434.98 21 648.89 to 23 354.41 30 714.88
Yes 7259 5728 78.91 1531 21.09 22 103.65 862.06 20 412.57 to 23 794.73 32 174.66
Missing 24 16 66.67 8 33.33 7911.47 4794.59 −12717.99 to 28 540.92 8304.47
Difficulty in eating No 31 670 27 496 86.82 4174 13.18 21 942.01 477.92 21 005.02 to 22 878.99 30 245.05
Yes 12 156 9566 78.69 2590 21.31 23 190.94 663.02 21 890.78 to 24 491.10 32 311.67
Missing 11 9 81.82 2 18.18 25 555.10 24 512.30 −285903.20 to 337 013.40 34 665.63
Dry mouth No 33 482 28 898 86.31 4584 13.69 22 103.32 458.44 21 204.56 to 23 002.09 30 783.74
Yes 9374 7401 78.95 1973 21.05 23 117.57 730.29 21 685.29 to 24 549.85 31 580.48
Missing 4 1 25.00 3 75.00 37 865.47 33 626.18 −106816.30 to 182 547.23 58 242.25
Activities of daily living Independent 44 379 37 784 85.14 6595 14.86 21 497.68 394.90 20 723.53 to 22 271.82 30 009.55
Minimum assist 769 367 47.72 402 52.28 33 386.73 2107.73 29 241.06 to 37 532.40 39 149.44
Assist 142 96 67.61 46 32.39 52 744.22 10 428.07 31 633.68 to 73 854.75 65 123.31
Missing 1305 1014 77.70 291 22.30 22 182.71 1760.23 18 712.23 to 25 653.18 25 264.02
Depressive symptoms No depression 27 474 24 093 87.69 3381 12.31 20 689.68 524.96 19 660.37 to 21 718.98 29 067.64
Mild depression 8196 6589 80.39 1607 19.61 23 907.93 875.49 22 190.53 to 25 625.32 32 932.83
Depression 2721 2052 75.41 669 24.59 24 857.99 1422.94 22 063.24 to 27 652.75 34 268.90
Missing 8225 6534 79.44 1691 20.56 23 475.66 868.28 21 772.27 to 25 179.04 31 354.46
Smoking No 34 788 29 410 84.54 5378 15.46 22 621.56 444.19 21 750.74 to 23 492.37 31 258.05
Yes 6952 5948 85.56 1004 14.44 20 498.76 986.93 18 561.88 to 22 435.64 30 032.53
Missing 4876 3910 80.19 966 19.81 23 183.46 1341.24 20 548.12 to 25 818.81 29 598.54
Marital status Married 32 764 28 632 87.39 4132 12.61 19 436.49 473.92 18 507.31 to 20 365.68 28 506.40
Others 12 684 9741 76.80 2943 23.20 26 439.03 669.37 25 126.47 to 27 751.60 33 761.73
Missing 1168 895 76.63 273 23.37 23 211.96 2153.29 18 966.15 to 27 457.77 30 679.67
Living arrangement Living with others 39 644 33 827 85.33 5817 14.67 21 730.41 426.36 20 894.56 to 22 566.27 30 397.54
Living alone 6163 5441 88.28 1531 24.84 24 835.00 921.89 23 026.41 to 26 643.58 33 008.39
Equivalent income Low 19 176 16 151 84.23 3025 15.77 22 321.17 605.88 21 133.14 to 23 509.21 31 318.70
Middle 14 462 12 585 87.02 1877 12.98 21 747.74 758.07 20 260.87 to 23 234.61 31 062.52
High 4117 3625 88.05 492 11.95 20 363.70 1361.97 17 687.00 to 23 040.39 28 763.09
Missing 8861 6907 77.95 1954 22.05 23 632.21 778.56 22 105.09 to 25 159.34 30 829.37
Education 6–9 years 22 235 18 271 82.17 3964 17.83 23 266.45 545.68 22 196.56 to 24 336.34 32 037.63
10–12 years 15 182 13147 86.60 2035 13.40 20 946.62 689.82 19 593.68 to 22 299.56 29 217.84
>13 years 7889 6917 87.68 972 12.32 19 434.13 977.85 17 514.89 to 21 353.37 28 726.15
Missing 1310 933 71.22 377 28.78 29 673.63 2083.82 25 570.31 to 33 776.94 33 665.16

Table 2.

Tobit regression differences in cumulative cost of long-term care insurance services by number of oral problems

Explanatory Categories Crude model Model 1 Model 2
B (95% CI) B (95% CI) B (95% CI)
Oral function Normal Reference Reference Reference
One problem 10 414.23 6532.43 4020.35
(8712.39 to 12 116.06) (4909.64 to 8155.22) (2348.95 to 5691.75)
Two problems 18 217.95 10 028.46 4775.48
(15 986.76 to 20 449.15) (7922.02 to 12 134.91) (2569.12 to 6981.85)
Three problems 28 416.51 17 793.12 8292.83
(25 114.68 to 31 718.34) (14 699.14 to 20 887.10) (4999.92 to 11 585.74)

US$1=100 JPY.

Model 1: adjusting for age, sex.

Model 2: further adjusting for activity of daily living, current smoking, depressive symptoms, equivalent income, education, marital status, household structure.

B, partial regression coefficient.

Table 3.

Rate of those certified as requiring long-term care and mortality and days by the oral problem

Oral function Requiring long-term care Mortality
n (%) First time days to certification n (%) Days to death or displacement
Normal 3081 (16.70) 1928.77 1674 (9.10) 2024.14
One problem 2167 (22.40) 1874.07 1214 (12.60) 1987.63
Two problems 1148 (29.30) 1814.63 636 (16.20) 1945.89
Three problems 484 (36.80) 1725.16 271 (20.60) 1891.41
Total 6880 (20.70) 1799.69 3795 (11.40) 1943.58

Next, to investigate the relationship between oral function and the costs associated with the use of LTCI, we conducted a tobit analysis using the data on cumulative LTCI costs over 6 years as the independent variable, and oral function as the explanatory variable (table 2). Compared with persons with normal oral function, the model in which age, sex, social environment and physical factors were inputted, showed that costs for people with one oral function problem were (B=4020.35), two oral function problems (B=4775.48) and three oral function problems (B=8292.83), to be more than those with normal oral function.

The impact of oral function on the cost of long-term care services was examined. The analysis was based on the cumulative cost of care during the follow-up period. According to oral function, the percentages of persons requiring certification for the need for long-term care, and death or displacement are as follows: among those with three problems, 36.8% were certified as needing long-term care, compared with 16.7% for those with preserved oral function. Death and displacement also occurred in 20.6% of those with three problems compared with 9.1% of those with preserved oral function. The number of days to certification for the need for long-term care and death or relocation also decreased with decrease in the number of oral function problems. Oral function affected the cost of long-term care services, when the cumulative long-term care costs during the follow-up period were analysed (table 3).

Discussion

This study is the first to examine the differences between the degree of oral function and associated cumulative LTCI costs. In examining cumulative LTCI costs over 6 years, our results indicated that cumulative LTCI costs were higher for those with oral function problems compared with those with maintained oral function. A difference of US$4000–8200 in cumulative LTCI costs over 6 years was observed between those with maintained oral function and those with oral function problems. Further, higher number of oral function problems were associated with higher future LTCI costs.

The cost of care was found to be related to physical function, socioeconomic background and the care environment. Decline in ADL together with depression, as well as equivalent income, and years of education were also associated with the cost of care. In terms of marital status, costs were higher for those who were not married. Further, women were more likely to be in the higher cost group than men. This is consistent with another report that showed 34.0% of caregivers were male,1 indicating that women use care services more when they required, which also indicates a problem in the caregiving environment.

An analysis of the degree of oral function and 6-year cumulative LTCI costs in table 2 shows a difference in cumulative LTCI costs for those with declining oral function compared with maintained oral function. As an explanation for this, an association between physical function and oral health has been reported in older people with impaired oral function. The number of chewable foods and bite strength has been associated with leg extension power and time spent standing on one leg,31 32 and the risk of falling is 2.5 times higher among those with 19 or fewer teeth compared with those with 20 or more teeth.33

Oral function is also associated with mental function and dementia. Poor quality of life related to oral hygiene increases the risk of depressive symptoms among older people.34 In terms of cognitive function, those with few teeth and no dentures have a 1.9 times higher likelihood of having dementia than those with 20 or more teeth.35 Severe periodontitis, a possible cause of tooth loss, is associated with mild cognitive impairment.36 As retained teeth decrease, the number of occlusal surfaces decreases. Low occlusal contact and consumption of soft foods are risk factors for Alzheimer’s disease.37 Regarding the association between frailty and oral function, older patients with frailty have significantly reduced oral function, which is associated with lower occlusal force, masseter muscle thickness and oral diadochokinesis rate.38 A study on older people in Japan demonstrated that one of the risk of requiring long-term care is frailty.39 From these findings, it can be inferred that a decline in oral function is closely related to physical, mental and cognitive function and is a factor in the development of the need for long-term care. The risk of needing long-term care, and certification for requirement of long-term care are assumed to be associated with the use of long-term care services and thus, with the cumulative cost of LTCI costs.

However, in a similar study examining the association with cumulative LTCI costs, cumulative LTCI costs were US$600 higher over 6 years (US$100 per year) for those who were less physically active than for those who had normal physical active.28 In addition, caregiving costs were US$1200 lower over 6 years (US$200 per year) for those who participated in social activities such as hobbies and sports groups, compared with those who did not.40 These are certainly reasonable explanations for the results indicating an association of high cost with oral function decline, which is a risk of needing care, and high cost with oral function decline, which was US$4000–8200 over 6 years (US$670–1360 per year) for those whose function declined compared with those in whom oral function was maintained in the present study.

The cost per beneficiary per year in 2020 for the elderly in Japan was US$2.09 million.41 There was a concomitant increase in cost, with each increase in oral function problems. For those with one oral function problem, the cost increase was 19.3% of the total, it was 22.7% for those with two and 39.5% for those with three. When the cumulative long-term care costs during the follow-up period were analysed by oral function, it was found to affect the cost of long-term care services. People with good oral function may have a shorter duration of need for long-term care during the follow-up period.

Previous studies related to eating difficulties have also reported that fewer teeth and denture use are associated with mortality,42 43 and less foods can be chewed by those who require nursing care.32 Self-reported surveys have reported that mastication disorders are associated with an increased risk of mortality among older persons.44 In a study related to oral dryness, it was reported that lip strength and lip dexterity are decreased in persons requiring nursing care,45 and weak lip strength is also associated with oral dryness as is the length of time spent opening the mouth. Dysphagia is associated with frailty.46 47 Increased problems with oral function increase the need for nursing care and the risk of death, which can have a serious impact on the health status of older adults with poor oral function, consistent with previous research on the need to provide effective oral healthcare and reduce the burden of oral disease, as well as its impact on general health.48

In this study, chewing hard food, choking and thirst were evaluated. It is desirable to maintain these functions to reduce the future cost of care. It has been reported that bite and chewing strength related to difficulty in chewing hard foods, hyoid muscle related to swallowing and xerostomia can be improved by functional training.49–54 For patients with oral problems, early professional care and efforts to maintain oral function may help control future LTCI costs. Since oral function deterioration can also lead to dysphagia, it is hoped that in the future this will lead to a reduction in deaths from aspiration pneumonia, the leading cause of death in Japan.34

Based on these results, we attempted to estimate the total cost savings in Japanese LTCI if these goals were achieved; 15.9% of all people in table 1 had two or more oral problems. The difference in cumulative LTCI costs would be US$4775 for two functional declines or US$795 per year. Applying the results of this study, in a community of 10 000 elderly adults, 1890 of them would have oral function impairment. The preservation of oral function could lower the individual’s cost of care. In addition, 76.8% of those with oral dysfunction did not use long-term care services, even though they had oral dysfunction. Preventive intervention for those with oral function loss, who are not using services will prevent the risk of further functional decline and serious illness in the future.

Strengths

The strength of this study is that we analysed merged individual data from questionnaires on social life and public claim records as they pertain to long-term care services. More specifically, we used a large-scale dataset involving data from numerous municipalities.

Limitations

There are five limitations of this study. First, because this is a questionnaire survey, it does not capture the entire population of older people including those living at home. The study population was limited to older adults who were not certified as needing long-term care at the time of the survey; it was also limited to older adults who could be combined with the actual LTCI benefits held by the government 6 years later. Second, the data in this study consisted of surveys conducted at the municipal level, where cooperation was obtained, and selection bias may exist. The data are biased due to a valid response rate of 64.7%. Third, the follow-up period was only 6 years, which is far too short to reflect the lifetime cost of care. Future studies should incorporate a longer follow-up period. Fourth, the data are not adjusted for diseases. There may be confounding factors that were not taken into account in the analyses in this study. Fifth, our data did not take into account the type of healthcare services used. Depending on the services used, the patient may already be receiving professional care related to oral organ function. Future surveys should also analyse by type of service.

Conclusions

The degree of oral function in older people was found to be associated with cumulative LTCI costs. The oral function of older people should be maintained to reduce future accumulated LTCI costs. There was a difference in cumulative LTCI costs between those with preserved oral function and those with declining oral function. Compared with those whose oral function was maintained, those with oral function problems had approximately US$4020-8292 higher cumulative LTCI costs over 6 years. There was a maximum difference of approximately US$8292 in long-term care service costs for those with oral function problems. The more the oral function problems, larger the difference. Maintaining the oral functions of older people may lead to a reduction in future accumulated LTCI costs.

Supplementary Material

Reviewer comments
Author's manuscript

Acknowledgments

This study used data from the Japan Gerontological Evaluation Study (JAGES), conducted by the Center for Well-being and Society, Nihon Fukushi University, as one of their research projects. Editorial support in the form of medical writing was obtained from Editage.

Footnotes

Contributors: All authors contributed to the conception and design of this study. Data collection was primarily conducted by MS, YM, EO and TO. Analyses were performed by KK and supported by MS, YM, EO and TO. KK prepared the initial manuscript and MS, YM, EO and TO significantly contributed to revising it. All authors read and approved the final manuscript. TO is the guarantor of the work.

Funding: This study was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI (JP18H00953) and the Japan Agency for Medical Research and Development (AMED) (JP19dk0110037h0001) and the Health and Labour Sciences Research Grant (21LA1003). The baseline survey was conducted by the Japan Gerontological Evaluation Study (JAGES). This survey was supported by JSPS KAKENHI (JP20H00557, JP18H03047, JP15H01972, JP21K17303), a Health Labour Sciences Research Grant (H28-Choju-Ippan-002), AMED (JP20dk0110034, JP17dk0110017, JP18dk0110027, JP18ls0110002, JP18le0110009, JP19dk0110034, and JP19dk0110037), Open Innovation Platform with Enterprises, Research Institute and Academia (OPERA, JPMJOP1831) from the Japan Science and Technology (JST), a grant from the Innovative Research Programme on Suicide Countermeasures (1–4), a grant from the Sasakawa Sports Foundation, a grant from the Japan Health Promotion & Fitness Foundation, a grant from the Chiba Foundation for Health Promotion & Disease Prevention, the 8020 Research Grant for the fiscal year of 2019 from the 8020 Promotion Foundation (19-2-06), a grant from Niimi University (1915010), grants from the Meiji Yasuda Life Foundation of Health and Welfare, and Research Funding for Longevity Sciences from the National Centre for Geriatrics and Gerontology (20-19, 29-42, 30-22).

Disclaimer: The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the respective funding organisations.

Competing interests: None declared.

Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data availability statement

Data are available upon reasonable request.

Ethics statements

Patient consent for publication

Consent obtained directly from patient(s).

Ethics approval

This study involves human participants and was approved by Nihon Fukushi University Ethics Committee (approval number 10-05). Participants gave informed consent to participate in the study before taking part.

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