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Landscapes on Prevention Quality Indicators: A Spatial Analysis of Diabetes Preventable Hospitalizations in Portugal (2016–2017)

Author

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  • Andre Ramalho

    (MEDCIDS-Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
    CINTESIS-Centre for Health Technology and Services Research, 4200-319 Porto, Portugal)

  • Mariana Lobo

    (MEDCIDS-Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
    CINTESIS-Centre for Health Technology and Services Research, 4200-319 Porto, Portugal)

  • Lia Duarte

    (Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
    Earth Sciences Institute (ICT), Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal)

  • Julio Souza

    (CINTESIS-Centre for Health Technology and Services Research, 4200-319 Porto, Portugal)

  • Paulo Santos

    (MEDCIDS-Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
    CINTESIS-Centre for Health Technology and Services Research, 4200-319 Porto, Portugal)

  • Alberto Freitas

    (MEDCIDS-Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
    CINTESIS-Centre for Health Technology and Services Research, 4200-319 Porto, Portugal)

Abstract

Preventable hospitalizations due to complications of diabetes mellitus (DM), represented by the related prevention quality indicators (PQI), are ambulatory care-sensitive conditions that can be prevented and controlled through effective primary health care (PHC) treatment. It is important to reduce mortality and promote the quality of life to diabetic patients in regions with higher hospitalization rates. The study aims to analyze the results of the DM age-sex-adjusted PQI, by groups of health centers (ACES), distributed in the Portuguese territory. The most representative PQI at a national level were identified, and the trends were mapped and analyzed. Also, it presents the ACES with the highest age-adjusted rates of avoidable hospitalizations for DM. The absolute number of preventable hospitalizations for all DM complications in Portugal has decreased by 20%, thus passing from the rate of 79 in 2016 to 65.2/100,000 inhabitants in 2017. Despite the improvement in results for PQI 03, 20 of 48 ACES that were above the national 2017 median rate in 2016, achieved better results the following year, and for the overall preventable diabetes hospitalizations (PQI 93) only 11 out 39, revealing the need for further studies and PHC actions to improve the diabetic quality of life.

Suggested Citation

  • Andre Ramalho & Mariana Lobo & Lia Duarte & Julio Souza & Paulo Santos & Alberto Freitas, 2020. "Landscapes on Prevention Quality Indicators: A Spatial Analysis of Diabetes Preventable Hospitalizations in Portugal (2016–2017)," IJERPH, MDPI, vol. 17(22), pages 1-20, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8387-:d:444182
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    References listed on IDEAS

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    1. Katharina Tabea Jungo & Daniela Anker & Lea Wildisen, 2020. "Astana declaration: a new pathway for primary health care," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(5), pages 511-512, June.
    2. Paul, Bimal Kanti, 1985. "Approaches to medical geography: An historical perspective," Social Science & Medicine, Elsevier, vol. 20(4), pages 399-404, January.
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    Cited by:

    1. Yu-Han Hung & Yu-Chieh Chung & Pi-Yueh Lee & Hao-Yun Kao, 2021. "Exploration of Preventable Hospitalizations for Colorectal Cancer with the National Cancer Control Program in Taiwan," IJERPH, MDPI, vol. 18(17), pages 1-9, September.
    2. Hugo Teixeira & Alberto Freitas & António Sarmento & Paulo Nossa & Hernâni Gonçalves & Maria de Fátima Pina, 2021. "Spatial Patterns in Hospital-Acquired Infections in Portugal (2014–2017)," IJERPH, MDPI, vol. 18(9), pages 1-18, April.

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