ABSTRACT
Este documento visa apoiar as Regionais de Saúde do Estado de Goiás, junto aos Apoiadores Regionais de Saúde Mental e Populações Específicas, no processo de implantação e habilitação de leitos em saúde mental em hospital geral
This document aims to support the Health Regionals of the State of Goiás, together with the Regional Health Supporters Mental Health and Specific Populations, in the process of implementing and enabling mental health beds in a hospital general
Subject(s)
Beds/supply & distribution , Mental Health/economics , Financial Resources in Health , Investments/organization & administrationABSTRACT
The purpose of this study was to analyze the regional characteristics and geographic distribution of the medical staffs (physicians and nurses) and the patient beds in relation to the population and average death rates in each of the provinces in Thailand, by using the Lorenz curve and Gini coefficients. Those data were obtained from surveys conducted by the Ministry of Public Health and the Office of the National Education Commission. It was demonstrated that there are certain clear uneven distributions in medical personnel, especially physicians (Gini index = 0.433), by province. For physicians, nurses, and patient beds, approximately 39.6%, 25.8% and 20.6% are concentrated in the Bangkok Metropolis. Specific ideas to solve those problems are discussed in order to overcome this health care crisis by the year 2025.
Subject(s)
Beds/supply & distribution , Geography , Health Care Surveys , Health Workforce/statistics & numerical data , Health Resources/supply & distribution , Humans , Models, Statistical , Mortality , Nurses/supply & distribution , Physicians/supply & distribution , Professional Practice Location/statistics & numerical data , Resource Allocation/statistics & numerical data , Rural Health Services , Socioeconomic Factors , Thailand/epidemiology , Urban Health ServicesABSTRACT
Based on hospital data published by the ministry of Heath, hospital bed requirements for Riyadh, Saudi Arabia in the year 1412/3 H. was estimated using the poisson approximation, and hospital efficiency was assessed based on the predicted improvement in bed occupancy and monetary saving which can be achieved by avoiding operating unnecessary empty beds. Results revealed that though Riyadh experienced a reduction in both bed supply and admissions to the hospital through the 12 year study period it still holds 23.1% of the total beds available in Saudi Arabia and constantly maintained higher bed population ratios and admission rates than nationwide. The demand for hospital care in Riyadh in 1412/3 H. could have been met by a lower number of beds and at a higher level of efficiency. The total number of beds that could have been saved is 738 beds and the annual operating expenses that could have been avoided amounted to 78 million SR