Evidence map›Paper›PMID 22926634›Full record

Trial reportJournal of general internal medicine2013

Factors associated with non-adherence to three hypertension self-management behaviors: preliminary data for a new instrument.

Matthew J Crowley, Janet M Grubber, Maren K Olsen, Hayden B Bosworth

Registry-linked trialOpen access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of general internal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00237692 (Behavioral/Pharmacological Telemedicine Interventions for BP Control), which is not on this map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
1.7field-weighted citation impact, top 14% of its field
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.

NCT00237692 nacompletednot on this map

Behavioral/Pharmacological Telemedicine Interventions for BP Control

TypeinterventionalSponsorUS Department of Veterans AffairsRan2006 to 2010Enrolled591ConditionsHypertensionArmsNurse Behavioral intervention with Home BP Telemonitoring, Nurse Medication Management with Home BP Telemonitoring, Nurse Combined intervention with Home BP Telemonitoring
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Economic impact of standardized hypertension treatment on household income in Argentina: a longitudinal analysis, 2019-2024.Revista panamericana de salud publica = Pan American journal of public health · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Epidemiology of Childhood Onset Essential Hypertension.Journal of human hypertension · 2018
    Observational
  14. Patients' Attitudes and Approaches to the Self-Management of Hypertension: Perspectives from an Australian Qualitative Study in Community Pharmacy.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2017
    Article
  15. Improving management and effectiveness of home blood pressure monitoring: a qualitative UK primary care study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2015
    Article
  16. Article
  17. 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

4 authors at 2 institutions in 1 country.

Matthew J CrowleyCenter for Health Services Research in Primary Care, Durham VA Medical Center, HSR&D (152), 508 Fulton Street, Durham, NC 27705, USA. matthew.crowley@dm.duke.edu
Janet M Grubber
Maren K Olsen
Hayden B Bosworth
Durham VA Medical Center · USDuke University · US

Funding

Take Control of Your Blood Pressure (TCYB) StudyR01HL070713 · NHLBI · DUKE UNIVERSITY · PI BOSWORTH, HAYDEN B. · 2003 to 2007
$3.7M
Tailored Case Management for Diabetes and HypertensionR01DK074672 · NIDDK · DUKE UNIVERSITY · PI EDELMAN, DAVID · 2008 to 2012
$3.3M
NHLBI NIH HHS R01 HL070713NIDDK NIH HHS R01 DK074672
6 · The paper itself

Abstract

backgroundClinicians have difficulty in identifying patients that are unlikely to adhere to hypertension self-management. Identifying non-adherence is essential to addressing suboptimal blood pressure control and high costs.

objectives1) To identify risk factors associated with non-adherence to three key self-management behaviors in patients with hypertension: proper medication use, diet, and exercise; 2) To evaluate the extent to which an instrument designed to identify the number of risk factors present for non-adherence to each of the three hypertension self-management behaviors would be associated with self-management non-adherence and blood pressure.

designCross-sectional analysis of randomized trial data. PATIENTS: Six hundred and thirty-six primary care patients with hypertension. MEASUREMENTS: 1) Demographic, socioeconomic, psychosocial, and health belief-related factors; 2) measures of self-reported adherence to recommended medication use, diet recommendations, and exercise recommendations, all collected at baseline assessment; 3) systolic blood pressure (SBP) and diastolic blood pressure (DBP).

resultsWe identified patient factors associated with measures of non-adherence to medications, diet, and exercise in hypertension. We then combined risk factors associated with ≥1 adherence measure into an instrument that generated three composite variables (medication, diet, and exercise composites), reflecting the number of risk factors present for non-adherence to the corresponding self-management behavior. These composite variables identified subgroups with higher likelihood of medication non-adherence, difficulty following diet recommendations, and difficulty following exercise recommendations. Composite variable levels representing the highest number of self-management non-adherence risk factors were associated with higher SBP and DBP.

conclusionsWe identified factors associated with measures of non-adherence to recommended medication use, diet, and exercise in hypertension. We then developed an instrument that was associated with non-adherence to these self-management behaviors, as well as with blood pressure. With further study, this instrument has potential to improve identification of non-adherent patients with hypertension.

Indexed as

Patient ComplianceAgedAntihypertensive AgentsAttitude to HealthBlood PressureBlood Pressure Monitoring, AmbulatoryCombined Modality TherapyCross-Sectional StudiesDietExerciseFemaleHealth BehaviorHumansHypertensionMaleMedication AdherenceAntihypertensive Agents

Identifiers

PMID22926634
PMCPMC3539028
OpenAlexW2055827917

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.