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International Journal of Health Economics and Management

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04.05.2018 | Research Article

Payment systems and hospital length of stay: a bunching-based evidence

verfasst von: Reo Takaku, Atsushi Yamaoka

Erschienen in: International Journal of Health Economics and Management | Ausgabe 1/2019

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Abstract

Despite the huge attention on the long average hospital length of stay (LOS) in Japan, there are limited empirical studies on the impacts of the payment systems on LOS. In order to shed new light on this issue, we focus on the fact that reimbursement for hospital care is linked to the number of patient bed-days, where a “day” is defined as the period from one midnight to the next. This “midnight-to-midnight” definition may incentivize health care providers to manipulate hospital acceptance times in emergency patients, as patients admitted before midnight would have an additional day for reimbursement when compared with those admitted after midnight. We test this hypothesis using administrative data of emergency transportations in Japan from 2008 to 2011 (N = 2,146,498). The results indicate that there is a significant bunching in the number of acceptances at the emergency hospital around midnight; the number heaps a few minutes before midnight, but suddenly drops just after midnight. Given that the occurrence of emergency episode is random and the density is smooth during nighttime, bunching in the number of hospital acceptances around midnight suggests that hospital care providers shift the hospital acceptance times forward by hurrying-up to accept the patients. This manipulation clearly leads to longer LOS by one bed-day. In addition, the manipulation is observed in the prefectures where private hospitals mainly provide emergency medical services, suggesting hospital ownership is associated with the manipulation of hospital acceptance time.

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Ikegami and Campbell (1995) argue that the long LOS in Japan does not lead to high costs, for several reasons. For example, they note that the number of new admission per capita is low in Japan partly because of the country’s high utilization rates for outpatient care, and that the total daily reimbursement rate for hospital care is also kept low.

In Noguchi and Shimizutani (2011), patients who no longer require acute medical care but remain hospitalized for more than 180 days are defined as “socially hospitalized” patients.

Note that Noguchi et al. (2008) use the Tokai Acute Myocardial Infarction Study, which is not nationally representative, but their data seem to be the most comprehensive data on the mortality of AMI patients in Japan.

The results from empirical studies on the impact of payment systems on physician behavior are mixed: although some studies have reported a strong link between payment systems and health care provision (Delattre and Dormont 2003; Devlin and Sarma 2008; Shafrin 2010; van Dijk et al. 2013), others have found no such associations (Hadley et al. 1979; Grytten and Sorensen 2001).

Echevin and Fortin (2014) investigated the effects of alternative payment systems on LOS and the probability of readmission by exploiting the introduction of a new reimbursement scheme in Quebec.

This description is based on the Japanese system. The U.S. Medicare and Medicaid system excludes the day of discharge and death from the calculation of bed-days. A new rule for reimbursements in the U.S. also uses the number of midnights to assign inpatient status. In 2014, the Centers for Medicare and Medicaid Services introduced a “2-midnight rule”. Under this rule, Medicare Part A covers hospitalizations of 2 midnights (“2 days”) or longer; in contrast, stays shorter than 2 midnights are regarded as outpatient episodes for observation, and are therefore not covered by Medicare Part A (Sheehy et al. 2013).

Since patients are generally discharged during morning hours (e.g., 8 a.m. to 12 a.m.), hospitals cannot also manipulate the date of discharge.

A general summary of the Japanese EMS system is also provided in Kitamura et al. (2010).

There are currently 266 emergency critical care centers located throughout Japan. Not all are government-owned, but the prefectural governments are generally responsible for the management of these centers.

Unfortunately, our data did not include the time of symptom onset. Many previous studies such as Smolderen et al. (2010) and Mooney et al. (2014) define “prehospital transport time” as the period from the onset of symptoms to arrival at the hospital, whereas others such as Kleindorfer et al. (2006) and Kitamura et al. (2014) investigated the determinants of the time from the emergency call to arrival at the hospital. On this point, see Online Appendix B.

For hospitals with a high level of nursing staff, the basic per-diem reimbursement is 15,910 JPY, and they typically receive additional reimbursement in the amount of 4500 JPY. Since this additional reimbursement is not paid for once a patient’s LOS exceeds 30 days, the total basic reimbursement per bed-day is 20,410 (= 15,910 + 4500) JPY for patients with a short LOS and 15,910 JPY for those with a long LOS.

These include university hospitals and some national hospitals.

Fire stations in Tokyo are managed by an organization independent of the national government, and as such are not included in the FDMA database.

These classifications do not correspond to diagnostic group classification such as ICD-10. As is shown in Online Appendix B, 72% of emergency calls are due to “disease”.

We found that our main results were largely unaffected for shorter (from 22:00 to 2:00) and longer time intervals (from 20:00 to 4:00). These results are available on request.

If there is an irregular increase of the emergency calls from 0:00 to 0:04 (Fig. 2a), ambulance crews soon have to go to the next place in the same time. Thereby, there may be a rushing on the acceptance of the emergency patients. However, emergency crews cannot change the timing of hospital acceptances to just before midnight after receiving the emergency calls from 0:00 to 0:04. Thus, irregular increases of emergency calls from 0:00 to 0:04 do not account for the bunching of hospital acceptances around midnight.

31,276 − 30,475 = 801.

We appreciate Dr. Ryosuke Ikeda, Dr. Takefumi Osaka, Dr. Nobuo Sakata, and Dr. Takashi Shiga for letting us know of these examples. In addition, we thank the many fire station staff members who responded to our questions.

The width of the CIs appears to depend on the number of observations in each bin, but the point estimates also exhibited no irregular reductions in the number of hospital acceptances in the time interval from 0:00 to 0:04.

There is also a growing body of literature addressing the association between hospital ownership and quality of care (Perotin et al. 2013). Here, we contribute to the literature on the association between hospital ownership and the extent of financial motivations.

As in the total sample results, the existence of manipulation was determined from an irregular deviation of the number of hospital arrivals in the 5-minute interval from 0:00 to 0:04.

The database includes Fukushima and Miyagi prefectures, which suffered immense damage during the 2011 Great East Japan Earthquake. We examined the manipulation at the monthly level and found no trend breaks before and after the disaster.

The t value is calculated as the difference between the actual number and the mean counterfactual number, normalized by the standard error.

Ju¨rges and K¨oberlein (2015) also found that the upcoding was selective as physicians were more likely to upcode DRGs when treating newborns with poor health conditions and high expected health care costs.

In general, the coinsurance rate in Japan is 30% for patients aged from school age to 69 years and 10% for those aged 70 years and older. In addition, the total amount of copayment per month exceeds monthly stop-loss limits.

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Titel: Payment systems and hospital length of stay: a bunching-based evidence
verfasst von: Reo Takaku
Atsushi Yamaoka
Publikationsdatum: 04.05.2018
Verlag: Springer US
Erschienen in: International Journal of Health Economics and Management / Ausgabe 1/2019
Print ISSN: 2199-9023
Elektronische ISSN: 2199-9031
DOI: https://doi.org/10.1007/s10754-018-9243-2

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