Evidence map›Paper›PMID 30406566›Full record

ArticleJournal of general internal medicine2019

Quantifying Social Reinforcement Among Family Members on Adherence to Medications for Chronic Conditions: a US-Based Retrospective Cohort Study.

Julie C Lauffenburger, Nazleen F Khan, Gregory Brill, Niteesh K Choudhry

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Moving the Dial on Heart Failure Patient Adherence Rates.Patient preference and adherence · 2020
    Review
  8. Can We Improve Patient Adherence by Harnessing Social Forces?Journal of general internal medicine · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Julie C LauffenburgerCenter for Healthcare Delivery Sciences and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. jlauffenburger@bwh.harvard.edu.
Nazleen F KhanCenter for Healthcare Delivery Sciences and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Gregory BrillCenter for Healthcare Delivery Sciences and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Niteesh K ChoudhryCenter for Healthcare Delivery Sciences and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Funding

Development of a novel medication adherability tool to improve cardiovascular disease managementK01HL141538 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LAUFFENBURGER, JULIE CHRISTINE · 2018 to 2022
$718k
NHLBI NIH HHS K01 HL141538
6 · The paper itself

Abstract

backgroundMore than 50% of patients are non-adherent to medications, often without an easily identifiable reason to clinicians. No study has quantified the extent to which health behaviors like medication-taking are correlated within families using national or routinely collected data for a range of conditions.

objectiveTo examine how an individual's health behaviors are influenced by those of their family members, particularly in adherence to medications for chronic conditions.

designRetrospective cohort study. PATIENTS: Using claims from a large nationwide insurer, we identified patients initiating medications for one of five chronic conditions with a family member who also recently filled one of these medications. MAIN MEASURES: The primary exposure was whether family members were fully adherent (defined as a proportion of days covered ≥ 80%) before the patient's date of initiation. The outcome of interest was whether patients were fully adherent in the 12 months after initiation. Baseline demographic and clinical characteristics were also measured before initiation. We used multivariable modified Poisson regression to examine the association between prior family adherence and subsequent patient adherence. KEY

resultsAmong 254,144 patients, rates of full adherence among patients whose family members were and were not fully adherent were 37.3% and 26.9%, respectively (adjusted relative risk [aRR] 1.29, 95%CI 1.28-1.31). The association was stronger when both used cardiometabolic medications (aRR 1.35, 95%CI 1.32-1.37). Similarly, patients were also 38% more likely to be adherent if they and their family members used a medication for the same condition (aRR 1.38, 95%CI 1.35-1.40).

conclusionsAdherence among family members appeared to be highly correlated, suggesting positive reinforcement by family or the sharing of unmeasured behaviors or characteristics associated with better adherence. Regardless, information about prior adherence among family members from routinely collected data could potentially inform adherence prediction or intervention efforts.

Indexed as

Reinforcement, SocialAdultChronic DiseaseDrug MonitoringFamilyFemaleHumansMaleMedication AdherenceMiddle AgedRetrospective StudiesUnited Stateschronic diseasehealth behaviormedication adherencesocial contagionsocial reinforcement

Identifiers

PMID30406566
PMCPMC6544705

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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.