factores determinantes de la estancia inadecuada en un hospital de tercer nivel factors determining inappropriate days of stay in a third-level hospital

Clicks: 291
ID: 220278
2008
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #48 of 143 articles by views in cognition and emotion

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 143 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Introducción: Identificar los factores asociados a un mayor riesgo de estancias inadecuadas. Material y método: Se calcularon las tasas crudas y ajustadas de inadecuación mediante regresión binomial negativa, obteniéndose los riesgos relativos para distintas variables. La recogida de datos se realizó mediante el Appropriateness Evaluation Protocol. Resultados: El 34,17% (intervalo de confianza del 95%, 33,28-35,08) de las estancias fueron inadecuadas. Las mujeres, los mayores de 65 años, los ingresos programados y las estancias en servicios médicos tuvieron más riesgo de inadecuación. La ausencia en la historia clínica de un seguimiento continuado del paciente incrementa el riesgo de inadecuación un 36%. Conclusiones: La ausencia de un registro continuado de la evolución clínica del paciente es un factor que incrementa el riesgo de estancias inadecuadas. La utilización de la binomial negativa es una alternativa válida y sencilla para el análisis de este tipo de fenómenos.
Background: To identify the factors associated with a higher risk of inappropriate days of stay. Material and method: Crude and adjusted inappropriateness rates were calculated using negative binomial regression to obtain information about the relative risk of each variable. The Appropriateness Evaluation Protocol (AEP) was applied to collect information about patients' hospital stays. Results: A total of 34.17% (95%CI, 33.28-35.08) of the stays were inappropriate. Women, age older than 65 years, elective admission, and stays in medical services showed the highest inappropriateness risk. Lack of correct patient follow-up in the medical record increased the risk of inappropriateness to 36%. Conclusions: Lack of continual registration of the patient's clinical course increased the risk of inappropriate days of stay in the hospital. The use of the negative binomial is a valid and simple option for analysis of this type of phenomenon.
Reference Key
alcalde2008gacetafactores Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Francisco Javier Luquero Alcalde;Sara Santos Sanz;Alberto Pérez Rubio;Sonia Tamames Gómez;M. Belén Cantón Álvarez;Javier Castrodeza Sanz
Journal cognition and emotion
Year 2008
DOI
DOI not found
URL
http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0213-91112008000100010
Keywords
appropriateness hospitalization

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.