How were Hospitals Affected by the Ministry's Release of Hospital Names to be Potentially Reorganized?
Takahashi, H.; Shin, J.-h.; Kunisawa, S.; Fushimi, K.; Imanaka, Y.
Show abstract
BackgroundThe Japanese Ministry of Health, Labour and Welfare (MHLW) released a list of public and municipal hospitals (hereinafter "the list") that are subject to reevaluation for hospital function. First, this study describes the functional differentiation status of Japanese hospital beds. Second, it evaluates the impact of the list release on the number of admissions in the listed hospitals. MethodsFirstly, the number of hospitals and beds by the function of listed and non-listed hospitals in 2019 and 2021 were described using the bed function report. The Controlled Interrupted Time Series (CITS) analyses were subsequently conducted using Diagnosis Procedure Combination (DPC) data. Hospitals were divided near the cutoff point of the list. The outcomes were the number of admissions for gastrointestinal cancer surgery, those admitted via ambulance, or with a femoral fracture per 1,000 admissions. The exposure point was the week when the list was released. ResultsA decrease in the total number of beds was observed in 18.9% of the listed hospitals and 10.2% of others. Changes in bed functions were observed in 19.9% of the listed hospitals and 12.5% of others. CITS analyses showed that the rate ratio of admissions for gastrointestinal cancer surgery, those admitted via ambulance, and those with a femoral fracture in the listed hospital group after the lists release were 1.001 (95% CI: 0.998-1.004, p = 0.619), 1.001 (95% CI: 0.998-1.004, p = 0.548), and 0.998 (95% CI: 0.998-1.002, p = 0.313), respectively. ConclusionMore prominent trends of functional differentiation of hospital beds were observed in the listed hospitals. The release of the list did not impact the number of hospital admissions for gastrointestinal cancer surgery, those admitted via ambulance, or those with a femoral fracture per 1,000 admissions in the listed hospitals.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Economic impact of the first wave of the COVID-19 pandemic on acute care hospitals in Japan 97%
- Factors Associated With Regional Differences in Healthcare Quality for Patients With Acute Myocardial Infarction in Japan 96%
- Medium-term impacts of the waves of the COVID-19 epidemic on treatments for non-COVID-19 patients in intensive care units: a retrospective cohort study in Japan 95%
Similar papers in this journal
- Risk factors for severity on admission and the disease progression during hospitalization in a large cohort of COVID-19 patients in Japan 93%
- Administration approaches of nursing assistants in hospitals: a scoping review 93%
- Comparison of Care Utilization and Medical Institutional Death among Older Adults by Home Care Facility Type: A Retrospective Cohort Study in Fukuoka, Japan 93%
Similar papers in this journal
- Rapid Clinical Screening and Staging for COVID-19 Severe Outcome A Hospitalization Study in New York City 92%
- The impact of atypical intrahospital transfers on patient outcomes: a mixed methods study 92%
- AKI Risk Score (AKI-RiSc): Developing an Interpretable Clinical Score for Early Identification of Acute Kidney Injury for Patients Presenting to the Emergency Department 91%
Similar papers in this journal
- The paradox of the COVID-19 pandemic: the impact on patient demand in Japanese hospitals 95%
- The Amortization of Funding Gene Therapies: Making the “Intangibles” Tangible for Patients 90%
- A novel methodology to measure waiting times for community-based specialist care in a public healthcare system 90%
Similar papers in this journal
- Pharmaceutical Payments to Japanese Board-Certified Infectious Disease Specialists: A Four-year Retrospective Analysis of Payments from 92 Pharmaceutical Companies between 2016 and 2019 92%
- The impact of the COVID-19 pandemic on hospital services for patients with cardiac diseases: a scoping review 92%
- Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.