Information Model on pain management for elder adults aged 75 years or older

Authors

  • Ana Clara de Brito Cruz Universidade Federal do Rio Grande do Sul, Escola de Enfermagem, Porto Alegre, RS, Brasil. Bolsista da Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS), Brasil. https://orcid.org/0000-0002-2945-962X
  • Amália de Fátima Lucena Universidade Federal do Rio Grande do Sul, Escola de Enfermagem, Porto Alegre, RS, Brasil. Bolsista do Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brasil. https://orcid.org/0000-0002-9068-7189
  • Aline Tsuma Gaedke Nomura Universidade Federal do Rio Grande do Sul, Escola de Enfermagem, Porto Alegre, RS, Brasil. Bolsista da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brasil. Hospital de Clínicas de Porto Alegre, Serviço de Enfermagem Cardiovascular, Nefrologia e Imagem, Porto Alegre, RS, Brasil. https://orcid.org/0000-0002-2584-5769
  • Miriam de Abreu Almeida Universidade Federal do Rio Grande do Sul, Escola de Enfermagem, Porto Alegre, RS, Brasil. Bolsista do Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brasil. https://orcid.org/0000-0002-4942-9882

DOI:

https://doi.org/10.1590/1518-8345.7111.4306

Keywords:

Pain Management; Health of the Elderly; Nurses Improving Care for Health System Elders; Electronic Health Records; Nursing Informatics; Data Mining

Abstract

Objective: to develop an information model on pain management in hospitalized aged people. Method: a Big Data retrospective and observational study guided by the Applied Healthcare Data Science Roadmap. The sample included all Electronic Health Records related to pain management in older adults aged at least 75 years old considered vulnerable in the institution and admitted to clinical and surgical units. Data science packages were used in Python ® for data analysis. Results: a total of 9,635 hospitalizations were found for 4,753 patients, with a mean age of 81 years old and 54% belonging to the female gender. The main reasons for hospitalization were diseases of the circulatory system (n=1,593; 28.6%), neoplasms (n=893; 16%) and diseases of the genitourinary system (n=508; 9.1%). A total of 60 attributes related to pain were identified and organized into groups: current pain, assessment instruments and characteristics, Nursing diagnosis, etiology of the Nursing diagnosis, interventions for relief, consultations to specialties and pain reassessment. The groups were classified into four large panels that constituted the information model. Conclusion: the information model developed presented an overview of the healthcare reality of pain management in vulnerable aged people, supporting decision-making for pain management in this population segment.

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Published

2024-10-25

Issue

Vol. 32 (2024)

Section

Original Articles

License

Copyright (c) 2024 Revista Latino-Americana de Enfermagem

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How to Cite

Information Model on pain management for elder adults aged 75 years or older. (2024). Revista Latino-Americana De Enfermagem, 32, e4306. https://doi.org/10.1590/1518-8345.7111.4306