Evidence map›Paper›PMID 29728908›Full record

ArticleInternational journal of health economics and management2019

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

Reo Takaku, Atsushi Yamaoka

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In one paragraph

Article in International journal of health economics and management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Observational
  2. Article
  3. Observational
  4. Article
  5. Observational
  6. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Reo TakakuInstitute for Health Economics and Policy, 11 Toyo Kaiji Bldg. 2F, 1-5-11 Nishishimbashi, Minato-ku, Tokyo, 105-0003, Japan. reo.takaku@ihep.jp.ORCID http://orcid.org/0000-0001-6091-9199
Atsushi YamaokaInstitute for Health Economics and Policy, 11 Toyo Kaiji Bldg. 2F, 1-5-11 Nishishimbashi, Minato-ku, Tokyo, 105-0003, Japan.
Institute for Health Economics and Policy · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Reimbursement MechanismsDatabases, FactualEmergency Service, HospitalEmpirical ResearchHospitalizationJapanLength of StayMedical RecordsPatient AdmissionTime FactorsBunchingEmergency medical servicesHospital acceptance timeLength of stayManipulation

Identifiers

PMID29728908
OpenAlexW2569057504

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.