Comparison and Impact of Four Different Methodologies for Identification of Ambulatory Care Sensitive Conditions

Autores da FMUP

• João Vasco Nunes Dos Santos

  Autor

• Cristina Maria Nogueira Da Costa Santos

  Autor

• Mariana Fernandes Lobo

  Autor

• José Alberto Da Silva Freitas

  Autor

Participantes de fora da FMUP

• Pinto, A
• Souza, J
• Viana, J

Unidades de investigação

• Medicina da Comunidade, Informação e Decisão em Saúde

• RISE-Health

  

  Investigador

  Fernando Carlos De Landér Schmitt

Abstract

Ambulatory care sensitive conditions (ACSCs) are conditions for which hospitalizations are thought to be avoidable if effective and accessible primary health care is available. However, to define which conditions are considered ACSCs, there is a considerable number of different lists. Our aim was to compare the impact of using different ACSC lists considering mainland Portugal hospitalizations. A retrospective study with inpatient data from Portuguese public hospital discharges between 2011 and 2015 was conducted. Four ACSC list sources were considered: Agency for Healthcare Research and Quality (AHRQ), Canadian Institute for Health Information (CIHI), the Victorian Ambulatory Care Sensitive Conditions study, and Sarmento et al. Age-sex-adjusted rates of ACSCs were calculated by district (hospitalizations per 100,000 inhabitants). Spearman's rho, the intraclass correlation coefficient (ICC), the information-based measure of disagreement (IBMD), and Bland and Altman plots were computed. Results showed that by applying the four lists, different age-sex-adjusted rates are obtained. However, the lists that seemed to demonstrate greater agreement and consistency were the list proposed by Sarmento et al. compared to AHRQ and the AHRQ method compared to the Victorian list. It is important to state that we should compare comparable indicators and ACSC lists cannot be used interchangeably.

Keywords

• ambulatory care sensitive conditions; hospitalizations; primary health care; reproducibility of results; Portugal