| Title: |
A predictive scoring instrument for tuberculosis lost to follow-up outcome |
| Authors: |
Rodrigo Sanz, María Teresa; Caylà, Joan A.; Casals, Martí; García-García, José Mª; Caminero, José A.; Ruiz Manzano, Juan; Blanquer, Rafael; Vidal, Rafael; Altet, Neus; Calpe, José L.; Penas, Antón; Anibarro, L.; Álvarez, F.; Barrón, M.; Bustamante, Alejandro; Cañas, F.; Cases, E.; De Souza, M.L.; Gallardo, J.; Gallego, Miguel; García, F.J.; Gullón, J.A.; Jiménez, M.A.; Lloret, T.; Marín, M.; Martínez, Alejandro; Medina, J.F.; Melero, C.; Milà, C.; Mir, I.; Moreno, V.; Valencia, E.; Muñoz, C.; Pascual, T.; Sánchez, P.; Sande, D.; Vargas, A.; Universitat Autònoma de Barcelona |
| Publication Year: |
2012 |
| Collection: |
Universitat Autònoma de Barcelona: Dipòsit Digital de Documents de la UAB |
| Subject Terms: |
Adherence; Lost to follow-up outcome; Scoring system; Tuberculosis |
| Description: |
Background: Adherence to tuberculosis (TB) treatment is troublesome, due to long therapy duration, quick therapeutic response which allows the patient to disregard about the rest of their treatment and the lack of motivation on behalf of the patient for improved. The objective of this study was to develop and validate a scoring system to predict the probability of lost to follow-up outcome in TB patients as a way to identify patients suitable for directly observed treatments (DOT) and other interventions to improve adherence.Methods: Two prospective cohorts, were used to develop and validate a logistic regression model. A scoring system was constructed, based on the coefficients of factors associated with a lost to follow-up outcome. The probability of lost to follow-up outcome associated with each score was calculated. Predictions in both cohorts were tested using receiver operating characteristic curves (ROC).Results: The best model to predict lost to follow-up outcome included the following characteristics: immigration (1 point value), living alone (1 point) or in an institution (2 points), previous anti-TB treatment (2 points), poor patient understanding (2 points), intravenous drugs use (IDU) (4 points) or unknown IDU status (1 point). Scores of 0, 1, 2, 3, 4 and 5 points were associated with a lost to follow-up probability of 2,2% 5,4% 9,9%, 16,4%, 15%, and 28%, respectively. The ROC curve for the validation group demonstrated a good fit (AUC: 0,67 [95% CI; 0,65-0,70]).Conclusion: This model has a good capacity to predict a lost to follow-up outcome. Its use could help TB Programs to determine which patients are good candidates for DOT and other strategies to improve TB treatment adherence. © 2012 Rodrigo et al.; licensee BioMed Central Ltd. |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| ISSN: |
1465993X |
| Relation: |
Respiratory Research; Vol. 13 (february 2012), p. 75; https://ddd.uab.cat/record/304430; urn:oai:ddd.uab.cat:304430; urn:scopus_id:84865534492; urn:articleid:1465993Xv13a75; urn:pmid:22938040; urn:pmcid:PMC3490987; urn:oai:pubmedcentral.nih.gov:3490987 |
| Availability: |
https://ddd.uab.cat/record/304430 |
| Rights: |
open access ; Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. ; https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.A8AE6614 |
| Database: |
BASE |