Cargando…
Group‐Based Trajectory Models: Assessing Adherence to Antihypertensive Medication in Older Adults in a Community Pharmacy Setting
Antihypertensive medication nonadherence is highly prevalent, leading to uncontrolled blood pressure. Methods that facilitate the targeting and tailoring of adherence interventions in clinical settings are required. Group‐Based Trajectory Modeling (GBTM) is a newer method to evaluate adherence using...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001422/ https://www.ncbi.nlm.nih.gov/pubmed/28875569 http://dx.doi.org/10.1002/cpt.865 |
_version_ | 1783331997416947712 |
---|---|
author | Dillon, Paul Stewart, Derek Smith, Susan M. Gallagher, Paul Cousins, Gráinne |
author_facet | Dillon, Paul Stewart, Derek Smith, Susan M. Gallagher, Paul Cousins, Gráinne |
author_sort | Dillon, Paul |
collection | PubMed |
description | Antihypertensive medication nonadherence is highly prevalent, leading to uncontrolled blood pressure. Methods that facilitate the targeting and tailoring of adherence interventions in clinical settings are required. Group‐Based Trajectory Modeling (GBTM) is a newer method to evaluate adherence using pharmacy dispensing (refill) data that has advantages over traditional refill adherence metrics (e.g. Proportion of Days Covered) by identifying groups of patients who may benefit from adherence interventions, and identifying patterns of adherence behavior over time that may facilitate tailoring of an adherence intervention. We evaluated adherence to antihypertensive medication in 905 patients over a 12‐month period in a community pharmacy setting using GBTM, identifying three subgroups of adherence patterns: 52.8%, 40.7%, and 6.5% had very high, high, and low adherence, respectively. However, GBTM failed to demonstrate predictive validity with blood pressure at 12 months. Further research on the validity of adherence measures that facilitate interventions in clinical settings is required. |
format | Online Article Text |
id | pubmed-6001422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60014222018-06-21 Group‐Based Trajectory Models: Assessing Adherence to Antihypertensive Medication in Older Adults in a Community Pharmacy Setting Dillon, Paul Stewart, Derek Smith, Susan M. Gallagher, Paul Cousins, Gráinne Clin Pharmacol Ther Research Antihypertensive medication nonadherence is highly prevalent, leading to uncontrolled blood pressure. Methods that facilitate the targeting and tailoring of adherence interventions in clinical settings are required. Group‐Based Trajectory Modeling (GBTM) is a newer method to evaluate adherence using pharmacy dispensing (refill) data that has advantages over traditional refill adherence metrics (e.g. Proportion of Days Covered) by identifying groups of patients who may benefit from adherence interventions, and identifying patterns of adherence behavior over time that may facilitate tailoring of an adherence intervention. We evaluated adherence to antihypertensive medication in 905 patients over a 12‐month period in a community pharmacy setting using GBTM, identifying three subgroups of adherence patterns: 52.8%, 40.7%, and 6.5% had very high, high, and low adherence, respectively. However, GBTM failed to demonstrate predictive validity with blood pressure at 12 months. Further research on the validity of adherence measures that facilitate interventions in clinical settings is required. John Wiley and Sons Inc. 2017-10-10 2018-06 /pmc/articles/PMC6001422/ /pubmed/28875569 http://dx.doi.org/10.1002/cpt.865 Text en © 2017 American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Dillon, Paul Stewart, Derek Smith, Susan M. Gallagher, Paul Cousins, Gráinne Group‐Based Trajectory Models: Assessing Adherence to Antihypertensive Medication in Older Adults in a Community Pharmacy Setting |
title | Group‐Based Trajectory Models: Assessing Adherence to Antihypertensive Medication in Older Adults in a Community Pharmacy Setting |
title_full | Group‐Based Trajectory Models: Assessing Adherence to Antihypertensive Medication in Older Adults in a Community Pharmacy Setting |
title_fullStr | Group‐Based Trajectory Models: Assessing Adherence to Antihypertensive Medication in Older Adults in a Community Pharmacy Setting |
title_full_unstemmed | Group‐Based Trajectory Models: Assessing Adherence to Antihypertensive Medication in Older Adults in a Community Pharmacy Setting |
title_short | Group‐Based Trajectory Models: Assessing Adherence to Antihypertensive Medication in Older Adults in a Community Pharmacy Setting |
title_sort | group‐based trajectory models: assessing adherence to antihypertensive medication in older adults in a community pharmacy setting |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001422/ https://www.ncbi.nlm.nih.gov/pubmed/28875569 http://dx.doi.org/10.1002/cpt.865 |
work_keys_str_mv | AT dillonpaul groupbasedtrajectorymodelsassessingadherencetoantihypertensivemedicationinolderadultsinacommunitypharmacysetting AT stewartderek groupbasedtrajectorymodelsassessingadherencetoantihypertensivemedicationinolderadultsinacommunitypharmacysetting AT smithsusanm groupbasedtrajectorymodelsassessingadherencetoantihypertensivemedicationinolderadultsinacommunitypharmacysetting AT gallagherpaul groupbasedtrajectorymodelsassessingadherencetoantihypertensivemedicationinolderadultsinacommunitypharmacysetting AT cousinsgrainne groupbasedtrajectorymodelsassessingadherencetoantihypertensivemedicationinolderadultsinacommunitypharmacysetting |