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BACKGROUND: The study analyzes the allocation of specialized doctors' orthopedists in a high-complex hospital, using the WHO's Workload Indicators of Staffing Need (WISN) methodology and approach, which measures the workload pressure on the healthcare team (positive, negative, or well-adjusted). METHODS: In the first phase, the hospital's operations and activities were analyzed using the information system. The duration of the tasks performed by the specialist physicians was observed and directly measured in the second phase. Finally, the indicators were analyzed, and the workload was calculated using the WISN application. The measurement was made using the available work time per year divided by the time unit over the previous 12 months. RESULTS: The hand surgery care unit was WISN 1.0 and the ratios for the spine surgery care unit was 1.22, indicating enough physicians and no work overload among the groups surveyed. The ratio in the knee unit was 1.69, indicating that there was an excess of staffing for the workload. CONCLUSION: The workload findings and staffing calculations were useful in supporting and orienting the design and implementation of measures to increase the efficiency and effectiveness of health services.
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Cirurgiões Ortopédicos , Carga de Trabalho , Brasil , Hospitais , Humanos , Admissão e Escalonamento de Pessoal , Encaminhamento e ConsultaRESUMO
OBJECTIVE: The purpose of this study was to assess the distribution of HIV-program staff and the extent to which their availability influences HIV programmatic and patient outcomes. METHODS: The study was a facility level cross-sectional survey. Data from October 2018 to September 2019 were abstracted from HIV program reports conducted in 18 districts of Côte d'Ivoire. The distribution of staff in clinical, laboratory, pharmacy, management, lay, and support cadres were described across high and low antiretroviral therapy (ART) volume facilities. Non-parametric regression was used to estimate the effects of cadre categories on the number of new HIV cases identified, the number of cases initiated on ART, and the proportion of patients achieving viral load suppression. RESULTS: Data from 49,871 patients treated at 216 health facilities were included. Low ART volume facilities had a median of 8.1 staff-per-100 ART patients, significantly higher than the 4.4 staff-per-100 ART patients at high-ART volume facilities. One additional laboratory staff member was associated with 4.30 (IQR: 2.00-7.48, p < 0.001) more HIV cases identified and 3.81 (interquartile range [IQR]: 1.44-6.94, p < 0.001) additional cases initiated on ART. Similarly, one additional lay worker was associated with 2.33 (IQR: 1.00-3.43, p < 0.001) new cases identified and 2.24 (IQR: 1.00-3.31, p < 0.001) new cases initiated on ART. No cadres were associated with viral suppression. CONCLUSIONS: HCWs in the laboratory and lay cadre categories were associated with an increase in HIV-positive case identification and initiation on ART. Our findings suggest that allocation of HCWs across health facilities should take into consideration the ART patient volume. Overall, increasing investment in health workforce is critical to achieve national HIV goals and reaching HIV epidemic control.
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Infecções por HIV , Mão de Obra em Saúde , Côte d'Ivoire/epidemiologia , Estudos Transversais , Infecções por HIV/tratamento farmacológico , Infecções por HIV/epidemiologia , Instalações de Saúde , HumanosRESUMO
BACKGROUND: In 2009, China launched a new round of healthcare reform to provide households with secure, efficient, convenient, equitable and affordable healthcare services. Healthcare reform is underpinned by three critical pillars: the health workforce, funding, and infrastructure, with reform of the health workforce being particularly significant. OBJECTIVE: This study analyses the disparities in regional distribution and the inequity of healthcare workforce allocation across hospitals and primary health centers in China over twelve years. DESIGN: Retrospective longitudinal data from the National Health Statistics Yearbook 2011-2022 and National Statistical Yearbook in China from 2011 to 2022 were collected for analysis. PARTICIPANTS: The focus was on hospitals and primary health centers, explicitly examining their health technician and nursing workforce. METHODS: The research utilized four key indicators of the healthcare workforce to evaluate the distribution of health resources between hospitals and primary health centers. Furthermore, the Gini coefficient and Theil index were employed to assess the inequality in allocating the health workforce. RESULTS: Between 2010 and 2021, there was a nationwide increase in the ratio of health workers per 1000 population in hospitals and primary health centers. It is noted that rural districts had higher ratios than urban districts in terms of the number of health technicians and nurses per 1000 population, whether in hospitals or primary health centers; western districts had higher ratios than eastern and central districts did. In the same year, at different levels of medical institutions, the Theil indices of health technicians and nurses in hospitals were lower than those in primary health centers in terms of both demographic and geographical dimensions. Regarding the allocation of the health workforce by population, the Gini coefficient remained below 0.3, while for geographical allocation, it exceeded 0.4. CONCLUSIONS: This study analyzed the temporal trends and inequality of health-resource allocation at the hospital and primary health center levels in China, noting trends of improvements in the quantity and inequality in health workforce allocation from 2010 to 2021, suggesting the success of the government's efforts to advance healthcare reform since 2009. The allocation of health workforce based on population exhibits greater fairness compared to geographical distribution.