This study aims to assess trends in the productive efficiency of China's county hospitals during the economic transition using data from 1993 to 2005. A data envelopment analysis (DEA) framework was used to calculate the efficiency score of county hospitals in all 31 provinces. A C²R model and a BC² model were devised to respectively calculate overall and scale efficiency and pure technical efficiency at the hospital's current scale. Models included four inputs (number of medical staff; number of beds; value of fixed capital; and hospital expenditures) and three outputs (outpatient and emergency visits, number of inpatients, and hospital revenue) in total. As the results, geographical disparities in health resource allocation and county hospital productivity were noted. From 1993 to 2005, the number of county hospitals increased and their inputs, e.g. fixed capital in particular, grew rapidly. However, the amount of both outpatient and inpatient services declined somewhat especially in the middle and the western regions. The overall efficiency at the national level decreased slightly. County hospitals in the eastern region tended to have better overall, scale, and technical efficiency in comparison to the middle and the western regions. In conclusion, county hospitals are inefficient due to their enlarged scale and the reduced amount of health care services they provide. This issue should be addressed especially in the middle and the western regions, where health resources are far more limited and yet wasted. The effects of ongoing health sector reform on the productivity of county hospitals must be monitored and evaluated.
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Cutis
December 2024
Department of Dermatology, State University of New York, Downstate Health Sciences University, Brooklyn. Jennifer Wang and Dr. Jagdeo also are from the Dermatology Service, Veterans Affairs New York Harbor Healthcare System, Brooklyn. Dr. Derrick also is from NYC Health + Hospitals/Kings County, Brooklyn.
Cochrane Database Syst Rev
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Department of Health Promotion and Policy, University of Massachusetts, Amherst, MA, USA.
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View Article and Find Full Text PDFRadiology
January 2025
From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 22 S Greene St, Baltimore, MD 21201 (C.H.S., A.K., V.P., F.X.D.); Departments of Radiology, Medicine, and Biomedical Data Science, Stanford University, Palo Alto, Calif (C.P.L.); Department of Computer Science and Electrical Engineering, College of Engineering and Information Technology, University of Maryland, Baltimore County, Baltimore, Md (A.J.); Department of Computer Science, University of Maryland, College Park, College Park, Md (H.H.); and University of Maryland Institute for Health Computing, University of Maryland, North Bethesda, Md (H.H., F.X.D.).
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View Article and Find Full Text PDFJ Oral Rehabil
January 2025
Department of Odontology, Faculty of Medicine, Umeå University, Umeå, Sweden.
Background: Psychosocial screening is a valuable part of the assessment of patients with orofacial pain, as psychosocial factors will affect prognosis and treatment outcomes. Paper-based questionnaires are predominately used to assess the degree of psychosocial comorbidity; however, digital alternatives for screening questionnaires may be more cost-effective and resource-saving if patients are receptive to using them.
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Cochrane Database Syst Rev
January 2025
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
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