Impact of the 2014 coinsurance rate revision for the elderly on healthcare resource utilization in Japan

Nishi, Takumi; Maeda, Toshiki; Katsuki, Susumu; Babazono, Akira Article Impact of the 2014 coinsurance rate revision for the elderly on healthcare resource utilization in Japan Health Economics Review Provided in Cooperation with: Springer Nature Suggested Citation: Nishi, Takumi; Maeda, Toshiki; Katsuki, Susumu; Babazono, Akira (2021) : Impact of the 2014 coinsurance rate revision for the elderly on healthcare resource utilization in Japan, Health Economics Review, ISSN 2191-1991, Springer, Heidelberg, Vol. 11, Iss. 1, pp. 1-11, https://doi.org/10.1186/s13561-021-00324-0 This Version is available at: https://hdl.handle.net/10419/285214 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. 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If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by/4.0/ RESEARCH Open Access Impact of the 2014 coinsurance rate revision for the elderly on healthcare resource utilization in Japan Takumi Nishi 1* , Toshiki Maeda 2 , Susumu Katsuki 1 and Akira Babazono 3 Abstract Background: Cost sharing, including copayment and coinsurance, is often used to contain medical expenditure by decreasing unnecessary or excessive use of healthcare resources. Previous studies in Japan have reported the effects of a coinsurance rate reduction for healthcare from 30 to 10% on the demand for healthcare among 70–74- year-old individuals. However, the coinsurance rate for this age group has recently increased from 10 to 20%. This study aimed to estimate the economic impact of coinsurance rate revision on healthcare resource utilization. Methods: We collected claims data from beneficiaries of the municipality National Health Insurance and the Japanese Health Insurance Association in Fukuoka Prefecture. We categorized subjects born between March 2, 1944 and April 1, 1944 into the 20% coinsurance rate reduction group and those born between April 2, 1944 and May 1, 1944 into the 10% reduction group. An interrupted time-series analysis for multiple groups was employed to compare healthcare resource utilization trends before and after coinsurance rate reduction at 70 years. Results: The 10% coinsurance rate reduction led to a significant increase in healthcare expenditure for outpatient care. The 20% reduction group showed a significantly sharper increase in healthcare expenditure for outpatient care than the 10% reduction group. Similarly, the 10% coinsurance group significantly increased in the number of ambulatory visits. The 20% coinsurance rate reduction group had more frequent ambulatory care visits than the 10% reduction group. Conclusions: These results suggest that increasing the coinsurance rate among the elderly would reduce outpatient healthcare resource utilization; however, it would not necessarily reduce overall healthcare resource utilization. Keywords: Elderly, Health, Health insurance, Medical care, Public health Background Similar to other developed countries, Japan has a rapidly aging population. In 2020, 36.17 million people (28.7% of the total population) were aged 65 years or older [1]. One estimate suggests that the number and proportion of such older people will increase to 39.21 million (35.3%) in fiscal year (FY) 2040. Social security expenditure in Japan is expected to rapidly increase from approximately 121.3 trillion yen (21.5% of GDP) in FY 2018 to about 188.2–190.0 trillion yen (23.8–24.0% of GDP) in FY 2040 [2]. Higher patient cost sharing is often used to contain medical expenditure by reducing unnecessary or excessive use of healthcare resources. Using results from the famous RAND Health Insurance Experiment (RHIE) in 1974, Manning et al. examined cost-sharing effects on © The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. * Correspondence: [email protected] 1 Department of Research Planning and Information Management, Fukuoka Institute of Health and Environmental Sciences, 39 Mukaizano, Dazaifu-shi, Fukuoka 818-0135, Japan Full list of author information is available at the end of the article Nishi et al. Health Economics Review (2021) 11:24 https://doi.org/10.1186/s13561-021-00324-0 the demand for medical services and reported that price elasticity was approximately −0.2. However, individuals aged 62 years or older at enrollment were intentionally excluded as ineligible groups in the RHIE [3]. Thereafter, Chandra et al. studied a policy change that raised patient cost sharing for supplemental insurers for retired public employees, including the elderly in California, and reported that elasticity for ambulatory care and prescription drugs was similar to that of RHIE [4]. However, these studies evaluated the effects of basic or supplemental insurance provision rather than patient cost sharing. Patient cost sharing should be examined especially in rapidly aging countries, such as Japan, where among 43.07 trillion yen of national healthcare expenditure in FY 2017, 25.95 trillion yen (60.3%) was consumed by the elderly aged 65 years or older [5]. Nevertheless, little was known about the effects of cost sharing on healthcare utilization among the elderly, until few recent few studies in Japan. First, Shigeoka exploited a sharp reduction in patient cost sharing at age 70 in Japan by using patient survey data, death records, and the Comprehensive Survey of Living Conditions [6]. Fukushima et al. examined the effects of reducing the coinsurance rate from 30 to 10% for medical care on demand among Japanese people aged 70 years and older by analyzing claims data from health insurance societies [7]. These studies reported that both outpatient and inpatient care were price sensitive among the elderly. Further, considering the coinsurance rate revision for Japanese people aged 70–74 years, Mahlich and Sruamsiri evaluated the impact of increased coinsurance rates on drug, inpatient, and outpatient healthcare utilization among Japanese elderly with rheumatoid arthritis by analyzing administrative data from 147 acute care hospitals [8]. However, the overall situation remains unclear after the coinsurance rate revision for elderly people aged 70– 74 years in 2014 for the following reasons. First, data analyzed by Shigeoka did not contain information about healthcare expenditure other than self-reported out-of- pocket medical spending [6]. Second, the study subjects of Fukushima et al. did not include beneficiaries of national health insurance (NHI), which is the most popular insurer for people aged 65–74 years in Japan [7]. Both evaluated the effects of reducing the coinsurance rate from 30 to 10% for medical care on demand among Japanese aged 70–74 years, but not after the coinsurance rate revision in 2014. Moreover, the study conducted by Mahlich and Sruamsiri did not include patients with medical conditions other than rheumatoid arthritis and medical institutions other than acute care hospitals [8]. Therefore, determining the effects of the coinsurance rate revision by comparison with the previous coinsurance rate would have important policy implications in healthcare economics. In this study, we estimated the economic impacts of the coinsurance rate revision on healthcare resource utilization by analyzing longitudinal health insurance claims data. Further, although previous studies implemented age-based regression discontinuity design, we employed interrupted time-series analysis (ITSA), which is a useful quasi-experimental design for evaluating the longitudinal effects of the coinsurance rate revision. As a result, we found that the coinsurance reduction from 30 to 20% also increased the utilization of outpatient healthcare resources, although its impact was smaller than with a 20% reduction. Institutional setting In Japan, since universal health coverage was achieved in 1961, almost every person is covered by public health insurance. Although several types of insurers are available in Japan, such as NHI, Japanese health insurance association (JHIA), health insurance societies, mutual aid associations, and medical care systems for the elderly in the later stages of life, medical service fees are reimbursed based on a nationally uniform fee schedule. Many outpatient and inpatient services were reimbursed by fees for service schemes; however, in 2003, a prospective payment system for acute inpatient services was introduced. The diagnosis procedure combination per diem payment system (DPC/PDPS) is a prospective payment system applied on a per diem basis and covers about 54% of general hospital beds. The prices of prescription drugs and specific medical devices were also regulated nationally through uniform price lists. Beneficiaries have free access to each type of medical institution authorized for providing medical, dental, and pharmaceutical services covered by health insurance. However, additional copayment is required for the first visit to a large hospital without a physician’s referral. Moreover, other than catastrophic coverage, patient bill copayment at medical institutions and the rest of the fees would be reimbursed by insurers. Cost-sharing reforms in Japan The Japanese government implemented several costsharing reforms. First, copayments (inpatients, 300 yen/ day; outpatients, 400 yen/day) for the elderly aged 65 years or older were introduced in February 1983; however, these individuals did not have to pay out-of-pocket expenses from January 1973 until February 1983. Subsequently, with the reform of Japan’s health insurance system in January 2001, 10% coinsurance was introduced. Then, coinsurance rate for the elderly with high income which is comparable to the current workforce was increased to 20% in October 2002, and it was increased to 30% in October 2006. Further, owing to a rapid increase in medical expenditure for older people, in 2008, the Nishi et al. Health Economics Review (2021) 11:24 Page 2 of 11 government implemented an independent health insurance system for individuals aged 75 years or older as part of the medical care system for the elderly in the latter stage of life. Accordingly, the coinsurance rate for people in Japan aged 70–74 years increased from 10 to 20%, after the amendment of the Health Insurance Act and National Health Insurance Act [9,10]. To mitigate the impact of rapid change, the coinsurance rate was frozen at 10% except by budgetary provision after 2008. However, the 20% coinsurance rate was enforced for people who reached 70 years of age after April 2014 to reduce inequity across generations. Therefore, since FY2014, the coinsurance rate for people who reached 70 years of age (i.e., those who were born after April 2, 1944) decreased from 30% (for people aged 6–69 years of age) to 20% (for people aged 70–74 years of age) after their birth month, while the coinsurance rate for people who had already reached 70 years of age (i.e., those who were born before April 1, 1944) decreased from 30 to 10%. Data The data of health insurance beneficiaries aged 70 years in FY 2013 or 2014 and their health insurance claims data other than that of dental care were obtained from the claims database of municipality NHI in Fukuoka Prefecture and the Fukuoka branch of the JHIA. We collected claims data before and after 12 months from the next month of the 70th birthdays of 16,353 beneficiaries who were born between March 2, 1944 and May 1, 1944. Figure 1presents the inclusion and exclusion criteria and the subject selection flow chart. First, we excluded 8194 individuals who obtained or lost quantification for health insurance the year before or after their birthday. Further, we excluded 955 beneficiaries with income comparable to the current workforce, that is, those who did not change their coinsurance rates. Finally, 7205 beneficiaries were selected as study subjects. We categorized subjects born between March 2, 1944 and April 1, 1944 and whose coinsurance rates were to decrease to 10% the following month upon reaching 70 years of age into the 20% (coinsurance rates) reduction group. We classified those born between April 2, 1944 and May 1, 1944 and those whose insurance rates decreased to 20% into the 10% reduction group. Moreover, health insurance beneficiaries can receive catastrophic coverage, as shown in Table 1. As catastrophic coverage was delivered in kind for beneficiaries who presented the “Eligibility Certificate for Ceiling- Amount Application”or an “Eligibility Certificate for Ceiling-Amount Application and Reduction of the Standard Amount of Patient Liability,”we computed actual out-of-pocket payments by using information on out-of-pocket payments for catastrophic coverage. Subsequently, we calculated the actual coinsurance rate, dividing this by total healthcare expenditure. The actual coinsurance rates of the 10% reduction group before and after 70 years of age were 23.5 and 13.1% in overall settings, 29.5 and 18.0% for outpatient care, and 11.7 and Fig. 1 Flowchart of inclusion and exclusion criteria Nishi et al. Health Economics Review (2021) 11:24 Page 3 of 11 6.5% for inpatient care. We used the 2010 exchange rate (US$1 = 87.75 yen) for easy comparison with the study results reported by Fukushima et al. [7]. We employed medical expenditure and the number of outpatient visits or the length of inpatient stay as the main outcome variables. These variables were also separately measured according to inpatient and outpatient settings. Descriptive statistics of the study subjects are shown in Table 2. The gender proportions and types of health insurance were similar between the two groups. The 20% reduction group had higher healthcare expenditure during the 2-year study period (approximately $963.2) than the 10% group. Similarly, a difference in the number of outpatient visits was observed (approximately 3.2 days). Methods We assigned the 10% reduction group as the control group (reference) and the 20% reduction group as the assigned treatment group. Thereafter, as conventional regression discontinuity design could not estimate the difference in multiple groups, the ITSA for multiple groups was employed to compare healthcare resource utilization trends before and after intervention (coinsurance rate reduction at 70 years). The ITSA offers a quasi-experimental research design for observational studies [11]. The visual depiction of multiple group ITSA is presented in Fig. 2. The solid line indicates the treatment group, and the dotted line shows the control group. The ITSA model used the following equation [12]: Yt¼β0þβ1Ttþβ2Xtþβ3XtTtþβ4Zþβ5ZT t þβ6ZXtþβ7ZXtTtþεt where Y t is the outcome measure along time t; T t is atimevariablebasedonthepointwhenthestudy began; X t is a dummy variable indicated as 0 before and 1 after intervention; Z is a dummy variable for assignment to 0, the control, or 1, the treatment group. β 0 to β 3 represent trends in the control group as follows: β 0 , intercept; β 1 ,slopebeforetheintervention; β 2 , change in the trend caused by the intervention; β 3 , coefficient of the interaction between X t and T t , and the slope after the intervention. β 4 to β 7 represent differences between control and treatment groups as follows: β 4 , difference in the intercepts; b 5 , difference in the slopes before the intervention; β 6 , difference in the changes caused by the intervention; β 7 , difference in the slopes after the intervention [12]. After individual data were organized, we generated the ITSA dataset by aggregating individual data by month. And we employed Prais regression (Prais– Winsten estimation), as statistical analyses used for ITSA must account for autocorrelated data [13]. All statistical analyses were performed using Stata 15.1 for Windows (Stata Corp, College Station, TX, USA). We then used the ITSA command [13]. Results Total healthcare resource utilization Table 3presents the results of the total healthcare resource utilization obtained with the ITSA. Figure 3 presents the observed and predicted values according to the treatment setting. The solid lines and filled circles indicate the treatment group (20% reduction group), while the dotted lines and open circles show the control group: 10% reduction group. The 10% coinsurance rate reduction led to a significant increase in healthcare expenditure: the coefficient (β 2 ) representing the change in the trend caused by the coinsurance rate reduction in the 10% reduction group was 71.73 (P= 0.001). And there was a Table 1 The amounts of catastrophic coverage Average annual income Catastrophic coverage: maximum out-of-pocket expenditure per month (yen) Aged under 70 years Over approximately 11,600,000 yen 252,600 + (medical expenditure –842,000) × 1% About 7,700,000 to 11,600,000 yen 167,400 + (medical expenditure –558,000) ×1% About 3,700,000 to 7,700,000 yen 80,100 + (medical expenditure –267,000) × 1% Under approximately 3,760,000 yen 57,600 Exempted from residence tax 35,400 Income levels Outpatient Inpatient Aged 70 to 74 years High income (Comparable to current workforce) 44,400 80,100 + (medical expenditure −267,000) × 1% Regular income 12,000 44,400 Low income II (Exempt from residence tax) 8000 24,600 Low income I (Particularly low income) 15,000 Nishi et al. Health Economics Review (2021) 11:24 Page 4 of 11 significant increase in treatment days: β 2 was 0.31 (P< 0.001). However, the coefficient (β 6 )representing thedifferenceinthechangesinthetrendamong coinsurance rate reductions was −47.65 (P= 0.102) in healthcare expenditure and treatment days (β 6 )was 0.10 (P=0.200). Table 2 Descriptive statistics of study subjects Coinsurance rates change 20% reduction 10% reduction (N= 3929) (N= 3276) Gender, N (%) Male 1779 (45.3%) 1420 (43.3%) Female 2150 (54.7%) 1856 (56.7%) Type of health insurance, N (%) JHIA 454 (11.6%) 407 (12.4%) NHI 3475 (88.4%) 2869 (87.6%) Healthcare resource utilization in all settings Healthcare expenditure, mean (sd) Before reaching 70 years old 4255.0 (9168.0) 3664.4 (7178.2) After reaching 70 years old 5225.9 (10,388.0) 4853.2 (9751.7) Overall 9480.9 (16,631.8) 8517.7 (14,773.5) Healthcare expenditure > 0 3669 (93.4%) 3050 (93.1%) Treatment days (No. of ambulatory visit/ length of inpatient stay), mean (sd) Before reaching 70 years old 23.4 (36.8) 22.3 (35.9) After reaching 70 years old 28.8 (41.8) 26.3 (40.1) Overall 52.2 (73.7) 48.6 (72.1) Healthcare resource utilization for outpatient care Healthcare expenditure, mean (sd) Before reaching 70 years old 2448.6 (3116.3) 2426.6 (3220.2) After reaching 70 years old 3018.4 (3590.0) 2770.7 (3663.1) Overall 5467.0 (6257.2) 5197.3 (6590.4) Outpatient expenditure > 0 3661 (93.2%) 3036 (92.7%) No. of ambulatory visit, mean (sd) Before reaching 70 years old 19.0 (24.6) 18.4 (22.1) After reaching 70 years old 23.3 (28.7) 20.8 (24.0) Overall 42.4 (49.6) 39.2 (43.1) Healthcare resource utilization for inpatient care Healthcare expenditure, mean (sd) Before reaching 70 years old 1806.4 (8180.6) 1237.9 (6113.4) After reaching 70 years old 2207.5 (9252.3) 2082.5 (8623.4) Overall 4014 (14,381.7) 3320 (12,487.0) Inpatient expenditure > 0 860 (21.9%) 664 (20.3%) No. of admission, mean(sd) Before reaching to 70 years old 0.2 (0.5) 0.1 (0.4) After reaching to 70 years old 0.2 (0.7) 0.2 (0.6) Overall 0.4 (1.0) 0.3 (0.8) Length of inpatient stay, mean (sd) Before reaching 70 years old 4.4 (26.8) 3.9 (28.9) After reaching 70 years old 9.8 (53.6) 9.4 (59.0) Overall 5.5 (30.3) 5.5 (32.6) NHI National Health Insurance, JHIA Japanese Health Insurance Association Nishi et al. Health Economics Review (2021) 11:24 Page 5 of 11 Healthcare resource utilization for outpatient care Table 4and Fig. 4show the results of healthcare resource utilization for outpatient care obtained with the ITSA. The 10% coinsurance rate reduction led to a significant increase in healthcare expenditure for outpatient care: β 2 was 14.62 (P= 0.018). The 20% reduction group showed a significantly sharper increase in healthcare expenditure for outpatient care than the 10% reduction group; β 6 was 21.87 (P= 0.013). Similarly, the 10% coinsurance group significantly increased in the number of ambulatory visits: β 2 was 0.23 (P< 0.001). The 20% coinsurance rate reduction group had more frequent ambulatory care visits than the 10% reduction group: β 6 was 0.15 (P= 0.019). Healthcare resource utilization for inpatients care Table 5and Fig. 5show the results of healthcare resource utilization for inpatient care obtained with the Fig. 2 Visual depiction of multiple group ITSA Table 3 Results for healthcare resource utilization by ITSA Coeff. (Std.err) Expenditures Treatment days β 0 : Intercept 298.60 *** 1.85 *** (12.20) (0.04) β 1 : Trend before the 10% coinsurance rate reduction 1.15 0.00 (1.93) (0.01) β 2 : Change in the trend caused by 10% coinsurance rate reduction 71.73 ** 0.31 *** (20.58) (0.07) β 3 : Trend after the 10% coinsurance rate reduction 2.50 0.00 (3.21) (0.01) β 4 : Difference in the intercepts 37.21 ** 0.12 ** (18.35) (0.05) β 5 : Difference in the slopes before the coinsurance rate reductions 2.26 0.00 (2.72) (0.01) β 6 : Difference in the changes in the trend caused by coinsurance rate reductions −47.65 0.10 (28.51) (0.08) β 7 : Difference in the slopes after the coinsurance rate reductions 0.31 0.01 (4.21) (0.01) R 2 0.85 0.92 Observations 48 48 *** p< 0.001, ** p< 0.05, * p< 0.1 Nishi et al. Health Economics Review (2021) 11:24 Page 6 of 11 ITSA. The 10% coinsurance rate reduction led to an increase in inpatient healthcare resource utilization: β 2 was 55.72 for expenditure (P= 0.005) and 0.06 (P= 0.065) for length of inpatient stay. In addition, the 20% reduction group tended to have fewer changes in inpatient expenditure than the 10% reduction group: β 6 was −69.05 (P= 0.011), while no significant differences was found in the length of inpatient stay among coinsurance rate reduction groups. Discussion We found that a 10% coinsurance rate reduction also tended to increase the utilization of outpatient healthcare resources. When comparing 10% coinsurance rate Fig. 3 Healthcare resource utilization before and after the month of reaching 70 years of age (US dollars, days) Table 4 Results for healthcare resource utilization for outpatient care by ITSA Coeff. (Std.err) Expenditures No. of ambulatory visit β 0 : Intercept 200.56 *** 1.56 *** (2.80) (0.02) β 1 : Trend before the 10% coinsurance rates reduction 0.31 −0.01 (0.38) (0.00) β 2 : Change in the trend caused by 10% coinsurance rates reduction 14.62 ** 0.23 *** (5.91) (0.05) β 3 : Trend after the 10% coinsurance rates reduction 1.74 0.01 (1.16) (0.01) β 4 : Difference in the intercepts 5.07 0.07 ** (3.47) (0.03) β 5 : Difference in the slopes before the coinsurance rate reductions −0.54 0.00 (0.54) (0.01) β 6 : Difference in the changes in the trend caused by coinsurance rate reductions 21.87 ** 0.15 ** (8.46) (0.06) β 7 : Difference in the slopes after the coinsurance rate reductions 0.56 0.01 (1.51) (0.01) R 2 0.92 0.91 Observations 48 48 *** p< 0.001, ** p< 0.05, * p< 0.1 Nishi et al. Health Economics Review (2021) 11:24 Page 7 of 11 reduction with that of 20%, the increases in health care resource utilization was larger for the 20% reduction group than the 10% reduction group, particularly in the outpatient setting. Unlike previous investigations, the present study evaluated not only the effects of decreased coinsurance at age 70 on healthcare resource utilization under the revised coinsurance rate but also examined differences in the period before and after coinsurance rate revision. Substantial increases and differences among coinsurance rate groups were evident only in outpatient healthcare resource utilization immediately after the age of 70. These results were consistent with those of a previous study [7]. However, Shigeoka reported a clear effect of the reduction in inpatient admission after individuals were 70 years old [6]. These inconsistent results could be because of the difference in study design and data whether longitudinal claims data or repeated cross-sectional survey data were used. Fig. 4 Healthcare resource utilization for outpatient care before and after the month of reaching 70 years of age Table 5 Results for healthcare resource utilization for inpatient care by ITSA Coeff. (Std.err) Expenditures Length of inpatient stay β 0 : Intercept 97.48 *** 0.28 *** (10.28) (0.02) β 1 : Trend before the 10% coinsurance rates reduction 0.97 0.01 ** (1.92) (0.00) β 2 : Change in the trend caused by 10% coinsurance rates reduction 55.72 ** 0.06 * (18.84) (0.03) β 3 : Trend after the 10% coinsurance rates reduction 0.63 −0.01 (2.44) (0.00) β 4 : Difference in the intercepts 32.50 * 0.06 ** (16.44) (0.03) β 5 : Difference in the slopes before the coinsurance rate reductions 2.75 0.00 (2.65) (0.00) β 6 : Difference in the changes in the trend caused by coinsurance rate reductions −69.05 ** −0.03 (25.71) (0.04) β 7 : Difference in the slopes after the coinsurance rate reductions −0.22 0.01 (3.36) (0.01) R 2 0.76 0.59 Observations 48 48 *** p< 0.001, ** p< 0.05, * p< 0.1 Nishi et al. Health Economics Review (2021) 11:24 Page 8 of 11