A predictive scoring instrument for tuberculosis lost to follow-up outcome.

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 d...

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Autores: Rodrigo T, Caylà JA, Casals M, García-García JM, Caminero JA, Ruiz-Manzano J, Blanquer R, Vidal R, Altet N, Calpe JL, Penas A
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2012
País:España
Institución:Universidad de Málaga
Repositorio:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:dnet:r-fisabio___::7455799a039b0504eaffd359eaa173e8
Acceso en línea:https://fisabio.portalinvestigacion.com/publicaciones/20776
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865534492&doi=10.1186%2f1465-9921-13-75&partnerID=40&md5=0f6ec8f05075aa5612b1402ae3e4deb5
Access Level:acceso abierto
Palabra clave:Adherence
Lost to follow-up outcome
Predictors
Scoring system
Tuberculosis
Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Emigration and Immigration
Female
Humans
Lost to Follow-Up
Male
Marital Status
Middle Aged
Patient Compliance
Patient Selection
Spain
Young Adult
adult
article
cohort analysis
comprehension
female
follow up
human
immigration
independent living
major clinical study
male
multicenter study
outcome assessment
patient attitude
patient compliance
predictive value
prospective study
receiver operating characteristic
scoring system
tuberculosis
adolescent
aged
algorithm
marriage
middle aged
migration
patient selection
statistics
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network_acronym_str ES
network_name_str España
repository_id_str
spelling A predictive scoring instrument for tuberculosis lost to follow-up outcome.Rodrigo TCaylà JACasals MGarcía-García JMCaminero JARuiz-Manzano JBlanquer RVidal RAltet NCalpe JLPenas AAdherenceLost to follow-up outcomePredictorsScoring systemTuberculosisAdolescentAdultAgedAged, 80 and overAlgorithmsEmigration and ImmigrationFemaleHumansLost to Follow-UpMaleMarital StatusMiddle AgedPatient CompliancePatient SelectionSpainTuberculosisYoung Adultadultarticlecohort analysiscomprehensionfemalefollow uphumanimmigrationindependent livingmajor clinical studymalemulticenter studyoutcome assessmentpatient attitudepatient compliancepredictive valueprospective studyreceiver operating characteristicscoring systemtuberculosisadolescentagedalgorithmmarriagemiddle agedmigrationpatient compliancepatient selectionSpainstatisticstuberculosisBACKGROUND: 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.BMC2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fisabio.portalinvestigacion.com/publicaciones/20776https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865534492&doi=10.1186%2f1465-9921-13-75&partnerID=40&md5=0f6ec8f05075aa5612b1402ae3e4deb5RESPIRATORY RESEARCHISSN: 14659921ISSNe: 1465993Xreponame:r-FISABIO. Repositorio Institucional de Producción Científicainstname:Universidad de MálagaInglésinfo:eu-repo/semantics/openAccessoai:dnet:r-fisabio___::7455799a039b0504eaffd359eaa173e82026-06-11T12:45:17Z
dc.title.none.fl_str_mv A predictive scoring instrument for tuberculosis lost to follow-up outcome.
title A predictive scoring instrument for tuberculosis lost to follow-up outcome.
spellingShingle A predictive scoring instrument for tuberculosis lost to follow-up outcome.
Rodrigo T
Adherence
Lost to follow-up outcome
Predictors
Scoring system
Tuberculosis
Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Emigration and Immigration
Female
Humans
Lost to Follow-Up
Male
Marital Status
Middle Aged
Patient Compliance
Patient Selection
Spain
Tuberculosis
Young Adult
adult
article
cohort analysis
comprehension
female
follow up
human
immigration
independent living
major clinical study
male
multicenter study
outcome assessment
patient attitude
patient compliance
predictive value
prospective study
receiver operating characteristic
scoring system
tuberculosis
adolescent
aged
algorithm
marriage
middle aged
migration
patient compliance
patient selection
Spain
statistics
tuberculosis
title_short A predictive scoring instrument for tuberculosis lost to follow-up outcome.
title_full A predictive scoring instrument for tuberculosis lost to follow-up outcome.
title_fullStr A predictive scoring instrument for tuberculosis lost to follow-up outcome.
title_full_unstemmed A predictive scoring instrument for tuberculosis lost to follow-up outcome.
title_sort A predictive scoring instrument for tuberculosis lost to follow-up outcome.
dc.creator.none.fl_str_mv Rodrigo T
Caylà JA
Casals M
García-García JM
Caminero JA
Ruiz-Manzano J
Blanquer R
Vidal R
Altet N
Calpe JL
Penas A
author Rodrigo T
author_facet Rodrigo T
Caylà JA
Casals M
García-García JM
Caminero JA
Ruiz-Manzano J
Blanquer R
Vidal R
Altet N
Calpe JL
Penas A
author_role author
author2 Caylà JA
Casals M
García-García JM
Caminero JA
Ruiz-Manzano J
Blanquer R
Vidal R
Altet N
Calpe JL
Penas A
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Adherence
Lost to follow-up outcome
Predictors
Scoring system
Tuberculosis
Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Emigration and Immigration
Female
Humans
Lost to Follow-Up
Male
Marital Status
Middle Aged
Patient Compliance
Patient Selection
Spain
Tuberculosis
Young Adult
adult
article
cohort analysis
comprehension
female
follow up
human
immigration
independent living
major clinical study
male
multicenter study
outcome assessment
patient attitude
patient compliance
predictive value
prospective study
receiver operating characteristic
scoring system
tuberculosis
adolescent
aged
algorithm
marriage
middle aged
migration
patient compliance
patient selection
Spain
statistics
tuberculosis
topic Adherence
Lost to follow-up outcome
Predictors
Scoring system
Tuberculosis
Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Emigration and Immigration
Female
Humans
Lost to Follow-Up
Male
Marital Status
Middle Aged
Patient Compliance
Patient Selection
Spain
Tuberculosis
Young Adult
adult
article
cohort analysis
comprehension
female
follow up
human
immigration
independent living
major clinical study
male
multicenter study
outcome assessment
patient attitude
patient compliance
predictive value
prospective study
receiver operating characteristic
scoring system
tuberculosis
adolescent
aged
algorithm
marriage
middle aged
migration
patient compliance
patient selection
Spain
statistics
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.
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fisabio.portalinvestigacion.com/publicaciones/20776
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865534492&doi=10.1186%2f1465-9921-13-75&partnerID=40&md5=0f6ec8f05075aa5612b1402ae3e4deb5
url https://fisabio.portalinvestigacion.com/publicaciones/20776
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865534492&doi=10.1186%2f1465-9921-13-75&partnerID=40&md5=0f6ec8f05075aa5612b1402ae3e4deb5
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv BMC
publisher.none.fl_str_mv BMC
dc.source.none.fl_str_mv RESPIRATORY RESEARCH
ISSN: 14659921
ISSNe: 1465993X
reponame:r-FISABIO. Repositorio Institucional de Producción Científica
instname:Universidad de Málaga
instname_str Universidad de Málaga
reponame_str r-FISABIO. Repositorio Institucional de Producción Científica
collection r-FISABIO. Repositorio Institucional de Producción Científica
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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