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Radinmanesh M, Ebadifard Azar F, aghaei Hashjin A, Najafi B, Majdzadeh R. A review of appropriate indicators for need-based financial resource allocation in health systems. BMC Health Serv Res 2021; 21:674. [PMID: 34243784 PMCID: PMC8268397 DOI: 10.1186/s12913-021-06522-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 05/12/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Optimal, need-based, and equitable allocation of financial resources is one of the most important concerns of health systems worldwide. Fulfilling this goal requires considering various criteria when allocating resources. The present study was conducted to identify the need indicators used to allocate health resources in different countries worldwide. METHODS A systematic review conducted on all published articles and reports on the need-based allocation of health financial resources in the English language from 1990 to 2020 in databases, including PubMed, Cochrane, and Scopus as well as those in Persian language databases, including magiran, SID, and Google and Google scholar search engines. After performing different stages of screening, appropriate studies were identified and their information were extracted independently by two people, which were then controlled by a third person. The extracted data were finally analyzed by content analysis method using MAXQDA 10 software. RESULT This search yielded 823 studies, of which 29 were included for the final review. The findings indicated that many need-based resource allocation formulas attempt to deal with health care needs using some weighting methods for individuals. In this regard, the most commonly used indicators were found as follows: age, gender, socio-economic status or deprivation, ethnicity, standardized mortality ratio (SMR), the modified health indicators (disease consequences, self-assessed health, and disability), geographical area / place of residence (geographical) (rural versus urban), cross-boundary flows, cost of services, and donations. CONCLUSION The indicators used in allocating the health systems' financial resources in each country should be designed in order to be simple and transparent and in accordance with the moral norms of that society. Moreover, these should be a good representative of the health needs of people in different geographical areas of that country. In addition, their related data should be available to an acceptable extent.
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Affiliation(s)
- Maryam Radinmanesh
- Department of Health Economics, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Farbod Ebadifard Azar
- Department of Health Economics, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Asgar aghaei Hashjin
- Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Behzad Najafi
- Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Reza Majdzadeh
- Knowledge Utilization Research Center, Community-based Participatory Research Center and School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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Nolasco A, Moncho J, Quesada JA, Melchor I, Pereyra-Zamora P, Tamayo-Fonseca N, Martínez-Beneito MA, Zurriaga O, Ballesta M, Daponte A, Gandarillas A, Domínguez-Berjón MF, Marí-Dell'Olmo M, Gotsens M, Izco N, Moreno MC, Sáez M, Martos C, Sánchez-Villegas P, Borrell C. Trends in socioeconomic inequalities in preventable mortality in urban areas of 33 Spanish cities, 1996-2007 (MEDEA project). Int J Equity Health 2015; 14:33. [PMID: 25879739 PMCID: PMC4392789 DOI: 10.1186/s12939-015-0164-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 03/17/2015] [Indexed: 11/30/2022] Open
Abstract
Background Preventable mortality is a good indicator of possible problems to be investigated in the primary prevention chain, making it also a useful tool with which to evaluate health policies particularly public health policies. This study describes inequalities in preventable avoidable mortality in relation to socioeconomic status in small urban areas of thirty three Spanish cities, and analyses their evolution over the course of the periods 1996–2001 and 2002–2007. Methods We analysed census tracts and all deaths occurring in the population residing in these cities from 1996 to 2007 were taken into account. The causes included in the study were lung cancer, cirrhosis, AIDS/HIV, motor vehicle traffic accidents injuries, suicide and homicide. The census tracts were classified into three groups, according their socioeconomic level. To analyse inequalities in mortality risks between the highest and lowest socioeconomic levels and over different periods, for each city and separating by sex, Poisson regression were used. Results Preventable avoidable mortality made a significant contribution to general mortality (around 7.5%, higher among men), having decreased over time in men (12.7 in 1996–2001 and 10.9 in 2002–2007), though not so clearly among women (3.3% in 1996–2001 and 2.9% in 2002–2007). It has been observed in men that the risks of death are higher in areas of greater deprivation, and that these excesses have not modified over time. The result in women is different and differences in mortality risks by socioeconomic level could not be established in many cities. Conclusions Preventable mortality decreased between the 1996–2001 and 2002–2007 periods, more markedly in men than in women. There were socioeconomic inequalities in mortality in most cities analysed, associating a higher risk of death with higher levels of deprivation. Inequalities have remained over the two periods analysed. This study makes it possible to identify those areas where excess preventable mortality was associated with more deprived zones. It is in these deprived zones where actions to reduce and monitor health inequalities should be put into place. Primary healthcare may play an important role in this process.
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Affiliation(s)
- Andreu Nolasco
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España.
| | - Joaquin Moncho
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España.
| | - Jose Antonio Quesada
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España.
| | - Inmaculada Melchor
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España. .,Registro de Mortalidad de la Comunidad Valenciana, Servicio de Estudios Epidemiológicos y Estadísticas Sanitarias, Subdirección General de Epidemiología y Vigilancia de la Salud. Conselleria de Sanitat, Plaza de España 6, 03010, Alicante, España.
| | - Pamela Pereyra-Zamora
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España.
| | - Nayara Tamayo-Fonseca
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España.
| | - Miguel Angel Martínez-Beneito
- Área de Desigualdades en Salud. FISABIO-CSISP, Conselleria de Sanitat, Avenida de Cataluña, 21, 46020, Valencia, España. .,Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España.
| | - Oscar Zurriaga
- Área de Desigualdades en Salud. FISABIO-CSISP, Conselleria de Sanitat, Avenida de Cataluña, 21, 46020, Valencia, España. .,Servicio de Estudios Epidemiológicos y Estadísticas Sanitarias, Subdirección General de Epidemiología y Vigilancia de la Salud. Conselleria de Sanitat, Avenida de Cataluña, 21, 46020, Valencia, España. .,Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España.
| | - Mónica Ballesta
- Department of Epidemiology, Regional Health Council, Murcia, Spain.
| | - Antonio Daponte
- Observatorio de Salud y Medio Ambiente de Andalucía (OSMAN). Escuela Andaluza de Salud Pública, Campus Universitario de Cartuja, Cuesta del Observatorio, 4. Ap. Correos 2070, Granada, 18080, España.
| | - Ana Gandarillas
- Servicio de Epidemiología. Subdirección de Promoción de la Salud y Prevención. Dirección General de Atención Primaria, Consejería de Sanidad Comunidad de Madrid, C/ San Martín de Porres, n° 6, 1ª planta, 28035, Madrid, España.
| | - M Felicitas Domínguez-Berjón
- Servicio de Informes de Salud y Estudios. Subdirección de Promoción de la Salud y Prevención. Dirección General de Atención Primaria, Consejería de Sanidad Comunidad de Madrid, C/ San Martín de Porres, n° 6, 1ª planta, 28035, Madrid, España.
| | - Marc Marí-Dell'Olmo
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Agència de Salut Pública de Barcelona, Plaça Lesseps, 1, 08023, Barcelona, España. .,Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain.
| | - Mercè Gotsens
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Agència de Salut Pública de Barcelona, Plaça Lesseps, 1, 08023, Barcelona, España. .,Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain.
| | - Natividad Izco
- Dirección General de Salud Pública y Consumo, Gobierno de La Rioja, Calle Vara de Rey n° 8, 1ª planta, 26071, Logroño, España.
| | - M Concepción Moreno
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Instituto de Salud Pública y Laboral de Navarra, C/ Leyre, 15, 31003, Pamplona, Navarra, Spain.
| | - Marc Sáez
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Grupo de Investigación en Estadística, Econometría y Salud (GRECS), [Research Group on Statistics, Econometrics and Health (GRECS)], Universidad de Girona. Calle de la Universidad 10, Campus de Montilivi, 17071, Girona, España.
| | - Carmen Martos
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Instituto Aragonés de Ciencias de la Salud, Avda. San Juan Bosco, n°13, 50009, Zaragoza, España.
| | - Pablo Sánchez-Villegas
- Observatorio de Salud y Medio Ambiente de Andalucía (OSMAN). Escuela Andaluza de Salud Pública, Campus Universitario de Cartuja, Cuesta del Observatorio, 4. Ap. Correos 2070, Granada, 18080, España.
| | - Carme Borrell
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Agència de Salut Pública de Barcelona, Plaça Lesseps, 1, 08023, Barcelona, España.
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Nolasco A, Quesada JA, Moncho J, Melchor I, Pereyra-Zamora P, Tamayo-Fonseca N, Martínez-Beneito MA, Zurriaga O. Trends in socioeconomic inequalities in amenable mortality in urban areas of Spanish cities, 1996-2007. BMC Public Health 2014; 14:299. [PMID: 24690471 PMCID: PMC3983886 DOI: 10.1186/1471-2458-14-299] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2014] [Accepted: 03/28/2014] [Indexed: 12/02/2022] Open
Abstract
Background While research continues into indicators such as preventable and amenable mortality in order to evaluate quality, access, and equity in the healthcare, it is also necessary to continue identifying the areas of greatest risk owing to these causes of death in urban areas of large cities, where a large part of the population is concentrated, in order to carry out specific actions and reduce inequalities in mortality. This study describes inequalities in amenable mortality in relation to socioeconomic status in small urban areas, and analyses their evolution over the course of the periods 1996–99, 2000–2003 and 2004–2007 in three major cities in the Spanish Mediterranean coast (Alicante, Castellón, and Valencia). Methods All deaths attributed to amenable causes were analysed among non-institutionalised residents in the three cities studied over the course of the study periods. Census tracts for the cities were grouped into 3 socioeconomic status levels, from higher to lower levels of deprivation, using 5 indicators obtained from the 2001 Spanish Population Census. For each city, the relative risks of death were estimated between socioeconomic status levels using Poisson’s Regression models, adjusted for age and study period, and distinguishing between genders. Results Amenable mortality contributes significantly to general mortality (around 10%, higher among men), having decreased over time in the three cities studied for men and women. In the three cities studied, with a high degree of consistency, it has been seen that the risks of mortality are greater in areas of higher deprivation, and that these excesses have not significantly modified over time. Conclusions Although amenable mortality decreases over the time period studied, the socioeconomic inequalities observed are maintained in the three cities. Areas have been identified that display excesses in amenable mortality, potentially attributable to differences in the healthcare system, associated with areas of greater deprivation. Action must be taken in these areas of greater inequality in order to reduce the health inequalities detected. The causes behind socioeconomic inequalities in amenable mortality must be studied in depth.
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Affiliation(s)
- Andreu Nolasco
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias, Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia, Universidad de Alicante Campus de San Vicente del Raspeig s/n, Apartado 99, 03080 Alicante, España.
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