Dataset Information

Construction, internal validation and implementation in a mobile application of a scoring system to predict nonadherence to proton pump inhibitors.

ABSTRACT:

Background

Other studies have assessed nonadherence to proton pump inhibitors (PPIs), but none has developed a screening test for its detection.

Objectives

To construct and internally validate a predictive model for nonadherence to PPIs.

Methods

This prospective observational study with a one-month follow-up was carried out in 2013 in Spain, and included 302 patients with a prescription for PPIs. The primary variable was nonadherence to PPIs (pill count). Secondary variables were gender, age, antidepressants, type of PPI, non-guideline-recommended prescription (NGRP) of PPIs, and total number of drugs. With the secondary variables, a binary logistic regression model to predict nonadherence was constructed and adapted to a points system. The ROC curve, with its area (AUC), was calculated and the optimal cut-off point was established. The points system was internally validated through 1,000 bootstrap samples and implemented in a mobile application (Android).

Results

The points system had three prognostic variables: total number of drugs, NGRP of PPIs, and antidepressants. The AUC was 0.87 (95% CI [0.83-0.91], p < 0.001). The test yielded a sensitivity of 0.80 (95% CI [0.70-0.87]) and a specificity of 0.82 (95% CI [0.76-0.87]). The three parameters were very similar in the bootstrap validation.

Conclusions

A points system to predict nonadherence to PPIs has been constructed, internally validated and implemented in a mobile application. Provided similar results are obtained in external validation studies, we will have a screening tool to detect nonadherence to PPIs.

SUBMITTER: Mares-Garcia E

PROVIDER: S-EPMC5494169 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

Construction, internal validation and implementation in a mobile application of a scoring system to predict nonadherence to proton pump inhibitors.

Mares-García Emma E Palazón-Bru Antonio A Folgado-de la Rosa David Manuel DM Pereira-Expósito Avelino A Martínez-Martín Álvaro Á Cortés-Castell Ernesto E Gil-Guillén Vicente Francisco VF

PeerJ 20170630

<h4>Background</h4>Other studies have assessed nonadherence to proton pump inhibitors (PPIs), but none has developed a screening test for its detection.<h4>Objectives</h4>To construct and internally validate a predictive model for nonadherence to PPIs.<h4>Methods</h4>This prospective observational study with a one-month follow-up was carried out in 2013 in Spain, and included 302 patients with a prescription for PPIs. The primary variable was nonadherence to PPIs (pill count). Secondary variable ...[more]

PMID: 28674646

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Dataset Information

Construction, internal validation and implementation in a mobile application of a scoring system to predict nonadherence to proton pump inhibitors.

Background

Objectives

Methods

Results

Conclusions

Publications

Construction, internal validation and implementation in a mobile application of a scoring system to predict nonadherence to proton pump inhibitors.

Similar Datasets

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