Portuguese Primary Healthcare and Prevention Quality Indicators for Diabetes Mellitus – A Data Envelopment Analysis

Andre Ramalho ^1,2 * , Julio Souza ^1,2 , Pedro Castro ^3,2 , Mariana Lobo ^1,2 , Paulo Santos ^1,2 , Alberto Freitas ^1,2

Cited by CrossRef:

1- Bai Q, Huang L, Guo Y, Xu X, Zhang Z, Wang Y, Chen H, Bian Y. How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach. Front Public Health. 2025;13 [Crossref]

2- Moran V, Suhrcke M, Nolte E. Exploring the association between primary care efficiency and health system characteristics across European countries: a two-stage data envelopment analysis. BMC Health Serv Res. 2023;23(1) [Crossref]

3- Xia Q, Huang Q, Li J, Xu Y, Ge S, Zhang X, Li M, Yu D, Tang X, Xia Y. Evaluating the quality of home care in community health service centres: A machine learning approach. Journal of Advanced Nursing. 2025;81(2):762 [Crossref]

4- Normand S, Zelevinsky K, Horvitz-Lennon M. Estimating racial and ethnic healthcare quality disparities using exploratory item response theory and latent class item response theory models. 2025; [Crossref]

5- Capeletti N, Amado C, Santos S. Performance assessment of primary health care services using data envelopment analysis and the quality-adjusted malmquist index. Journal of the Operational Research Society. 2024;75(2):361 [Crossref]

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