Resilience and health systems performance: admissions for ambulatory care-sensitive chronic conditions

Abstract Anchored in the concern to strengthen the resilience of the Unified Health System (SUS), this study aimed to develop a methodology for comparing Brazilian municipalities based on the standardized ratio of hospitalizations for chronic primary care-sensitive conditions (HPCSC). This cross-sectional study was based on data from the SUS hospital production. We adopted multilevel modeling for each Brazilian region. The ratio of observed to predicted hospitalizations, estimated by risk adjustment, was used to classify municipalities by level of occurrence of HPCSC (higher than expected, at the expected level, or lower than expected). The relationship between primary health care (PHC) coverage and HPCSC varied across Brazilian regions, with a lower percentage of municipalities with poorer performance in those with the highest availability of work hours of doctors and nurses. Due to its scope and role as a care coordinator in the healthcare network, PHC serves as the basis for building SUS resilience across various fields. Thus, the proposed methodology contributes to the continuous monitoring of PHC, an essential skill for resilience, enabling the timely guidance of actions and strategies in stress and crisis.

Authors

Institutions

Publication Details

Journal
Ciência & Saúde Coletiva
Published
2025-01-01
DOI
https://doi.org/10.1590/1413-81232025306.21422024en
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Resilience and health systems performance: admissions for ambulatory care-sensitive chronic conditions

Mariana Vercesi de Albuquerque, Mônica Martins, Marla Presa Raulino Schilling, Margareth Crisóstomo Portela
Ciência & Saúde Coletiva
Health Systems, Economic Evaluations, Quality of Life
article

Resilience and health systems performance: admissions for ambulatory care-sensitive chronic conditions

Mariana Vercesi de Albuquerque, Mônica Martins, Marla Presa Raulino Schilling, Margareth Crisóstomo Portela
article en

Abstract

Abstract Anchored in the concern to strengthen the resilience of the Unified Health System (SUS), this study aimed to develop a methodology for comparing Brazilian municipalities based on the standardized ratio of hospitalizations for chronic primary care-sensitive conditions (HPCSC). This cross-sectional study was based on data from the SUS hospital production. We adopted multilevel modeling for each Brazilian region. The ratio of observed to predicted hospitalizations, estimated by risk adjustment, was used to classify municipalities by level of occurrence of HPCSC (higher than expected, at the expected level, or lower than expected). The relationship between primary health care (PHC) coverage and HPCSC varied across Brazilian regions, with a lower percentage of municipalities with poorer performance in those with the highest availability of work hours of doctors and nurses. Due to its scope and role as a care coordinator in the healthcare network, PHC serves as the basis for building SUS resilience across various fields. Thus, the proposed methodology contributes to the continuous monitoring of PHC, an essential skill for resilience, enabling the timely guidance of actions and strategies in stress and crisis.

Ciência & Saúde ColetivaVol. 30(6)
Fundação Oswaldo Cruz (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Oswaldo Cruz
No poverty
Openalex Percentile: Top 79%
Health Systems, Economic Evaluations, Quality of Life
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.