Evidence map›Paper›PMID 32921518›Full record

ArticlePatient education and counseling2021

Identifying Behavioral Phenotypes in Chronic Illness: Self-Management of COPD and Comorbid Hypertension.

Grace M Perez-Benzo, Kimberly Muellers, Shiqi Chen, Bian Liu, Emilia Bagiella, Rachel O'Conor, Michael S Wolf, Juan P Wisnivesky, Alex D Federman

Abstract read
In one paragraph

Article in Patient education and counseling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Associations of Medication Regimen Complexity with COPD Medication Adherence and Control.International journal of chronic obstructive pulmonary disease · 2021
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Grace M Perez-BenzoIcahn School of Medicine at Mount Sinai, New York, NY, United States.
Kimberly MuellersDepartment of Psychology, Pace University, New York, NY, United States.
Shiqi ChenISO, Verisk Analytics, Jersey City, NJ, United States.
Bian LiuInstitute for Translational Epidemiology, Department of Population Health Science and Policy, The Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Emilia BagiellaInternational Center for Health Outcomes and Innovation Research, the Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Rachel O'ConorDivision of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Michael S WolfDivision of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Juan P WisniveskyDivision of Pulmonary and Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Alex D FedermanDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States. Electronic address: alex.federman@mssm.edu.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Self-management behaviors among COPD patients with multi-morbidityR01HL126508 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FEDERMAN, ALEX D, WISNIVESKY, JUAN P · 2015 to 2019
$4.0M
Conduits: MSHS Translational Science HubTL1TR001434 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GABRILOVE, JANICE L · 2015 to 2019
$2.1M
NCATS NIH HHS TL1 TR001434NCATS NIH HHS UL1 TR001422NHLBI NIH HHS R01 HL126508
6 · The paper itself

Abstract

objectivesTo identify and characterize the constellation, or clusters, of self-management behaviors in patients with chronic obstructive pulmonary disease (COPD) and comorbid hypertension.

methodsCluster analysis (n = 204) was performed with standardized scores for medication adherence to COPD and hypertension medications, inhaler technique, and diet as well as self-reported information on physical activity, appointment keeping, smoking status, and yearly influenza vaccination for a total of eight variables. Classification and regression tree analysis (CART) was performed to further characterize the resulting clusters.

resultsPatients were divided into three clusters based on eight self-management behaviors, which included 95 patients in cluster 1, 42 in cluster 2, and 67 in cluster 3. All behaviors except for inhaler technique differed significantly among the three clusters (P's<0.005). CART indicated physical activity was the first differentiating variable.

conclusionsPatients with COPD and hypertensioncan be separated into those with adequate and inadequate adherence. The group with inadequate adherence can further be divided into those with poor adherence to medical behaviors compared to those with poor adherence to lifestyle behaviors. PRACTICE IMPLICATIONS: Once validated in other populations, the identification of patient clusters using patient self-management behaviors could be used to inform interventions for patients with multimorbidity.

Indexed as

HypertensionPulmonary Disease, Chronic ObstructiveSelf-ManagementChronic DiseaseHumansMedication AdherencePhenotypeChronic Obstructive Pulmonary DiseaseCluster AnalysisComorbiditiesSelf-Management Behaviors

Identifiers

PMID32921518
PMCPMC7914263

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.