A two-step planning method to increase accessibility to medium complexity procedures for public secondary healthcare
Bibliographic Data
| ID | 16825912 |
|---|---|
| Authors | João Flávio de Freitas Almeida (0000-0002-3884-217X, Universidade Federal de Minas Gerais), Francisco Carlos Cardoso De Campos (0000-0003-2172-0181, UFMG, Brazil) |
| Year | 2021 |
| Volume | 26 |
| Issue | 9 |
| Pages | 4287-4298 |
| Publication date | 2021-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Ciência & Saúde Coletiva (JOURNAL) |
| Journal identifiers | ISSN: 1413-8123 • E-ISSN: 1678-4561 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/1413-81232021269.18382020 |
| PMID | 34586279 |
| OpenAlex | W3204028547 |
| SciELO | S1413-81232021000904287 |
| Language | EN |
| References cited | 23 |
The specialized care level of the public Brazilian national health system is critical and chronically underfunded. Few studies have evaluated public secondary care planning on a strategic level, so there are open issues yet to examine. This study aims at locating medical centers and sizing equipment based on a two-step optimization process to meet the population’s needs. The models consider physicians’ propensity for working on a metropolis and the patients’ choice on moving the least from their municipalities, therefore, conflicting decisions. The models provide the location of medical centers, the assignment of equipment to such locations, and the additional hours of specialists required to meet official standards of demand. Available equipment with idle capacity should partly satisfy the requirement for exams within the current infrastructure. For the remaining uncovered demand, the second step of the optimization model suggests the acquisition of additional equipment for the elected medical centers to meet established needs. The proposed location of secondary care facilities covers 834 municipalities, corresponding to 97.77% of the estate, with an average patient displacement of 58.73 km (CI95%: 56.18 km - 61.28 km). In general, 39 out of 77 health regions should hire additional hours of medical specialties. Pediatrics and gynecology represent the major gap
Business · Economic growth · Economics · Environmental health · Health care · Idle · Medical emergency · Medical equipment · Operations management · Population · Public health · Computer Science · Economic and Environmental Valuation · Engineering · Facility Location and Emergency Management · Medicine · Nursing · Urban Transport and Accessibility
The Brazilian health system
Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph
The Location of Emergency Service Facilities
The maximal covering location problem
Comparison of a spatial approach with the multilevel approach for investigating place effects on health
Avaliação de acessibilidade geográfica em sistemas de saúde hierarquizados usando o modelo de p-medianas
Interdependência entre os níveis de atenção do Sistema Único de Saúde (SUS)
| Highly cited | No |
|---|