Evidence map›Paper›PMID 40319907›Full record

Observational studyPharmacoepidemiology and drug safety2025

Chronic Disease Management to Enhance Medication Adherence Trajectories in Long-Term Survivors of Stroke: A Population-Based Cohort Study.

Lachlan L Dalli, Monique F Kilkenny, Muideen T Olaiya, David Ung, Joosup Kim, Leonid Churilov, Dominique A Cadilhac, Vijaya Sundararajan, Amanda G Thrift, Mark R Nelson and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Pharmacoepidemiology and drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

14 authors.

Lachlan L DalliStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0003-1449-9132
Monique F KilkennyStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0002-3375-287X
Muideen T OlaiyaStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0002-4070-0533
David UngDepartment of Medicine, Peninsula Clinical School, School of Translational Medicine, Monash University, Frankston, Victoria, Australia.ORCID https://orcid.org/0000-0002-7931-6387
Joosup KimStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0002-4079-0428
Leonid ChurilovMelbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-9807-6606
Dominique A CadilhacStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0001-8162-682X
Vijaya SundararajanDepartment of Medicine, St Vincent's Hospital, University of Melbourne, Fitzroy, Victoria, Australia.
Amanda G ThriftStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0001-8533-4170
Mark R NelsonMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0001-9023-051X
Natasha A LanninDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-2066-8345
Rebecca BarndenDepartment of Medicine, Peninsula Clinical School, School of Translational Medicine, Monash University, Frankston, Victoria, Australia.ORCID https://orcid.org/0000-0002-7076-4853
Velandai SrikanthDepartment of Medicine, Peninsula Clinical School, School of Translational Medicine, Monash University, Frankston, Victoria, Australia.ORCID https://orcid.org/0000-0002-8442-8981
Nadine E AndrewDepartment of Medicine, Peninsula Clinical School, School of Translational Medicine, Monash University, Frankston, Victoria, Australia.ORCID https://orcid.org/0000-0002-4846-2840

Funding

National Health and Medical Research CouncilNational Heart Foundation of Australia
6 · The paper itself

Abstract

purposeAlthough chronic disease management (CDM) has been reported to improve medication adherence after stroke or transient ischaemic attack (TIA), the impact on specific patterns of medication adherence is unclear. We aimed to evaluate the population effect of receiving a CDM claim on trajectories of medication adherence in long-term survivors of stroke/TIA.

methodsA cohort study was undertaken using observational data from PRECISE (42 Australian Stroke Clinical Registry hospitals [Victoria and Queensland; 2012-2015] linked with medication dispensing and primary care claims). Community-dwelling adults with ≥ 1 primary care visit were included. The exposure was a CDM claim (versus no claim) in primary care within 7-18 months post-stroke/TIA. Medication adherence (antihypertensive, antithrombotic, lipid-lowering) was assessed between 19 and 30 months post-stroke/TIA, using group-based trajectory models. Average treatment effects were estimated using multi-level logistic regression with inverse probability treatment weights.

resultsAmong 11 580 survivors of stroke/TIA (median age 70 years, 42% female; 45% with CDM claim), four distinct adherence patterns were identified: near-perfect adherence, high adherence, declining adherence, and non-use. After adjustment, having a CDM claim (vs no claim) promoted near-perfect adherence (odds ratio [OR]: 1.16 [95% CI 1.08-1.25]) for antithrombotic medications. Whereas, having a CDM claim (vs no CDM claim) promoted high adherence for antihypertensive (OR: 1.33 [95% CI 1.24-1.44]) or lipid-lowering (OR: 1.26 [95% CI 1.16-1.37]) medications. The odds of non-use were also reduced by 17%-23% in those with (vs without) a CDM claim.

conclusionsCDM claims were associated with favourable trajectories of medication adherence in long-term survivors of stroke/TIA.

Indexed as

Disease ManagementIschemic Attack, TransientMedication AdherenceStrokeAgedAged, 80 and overAntihypertensive AgentsAustraliaChronic DiseaseCohort StudiesFemaleHumansMaleMiddle AgedPrimary Health CareRegistriesAntihypertensive Agentsdata linkagemedication adherencepharmacoepidemiologyprimary carestroke

Identifiers

PMID40319907
PMCPMC12050132

What OpenQuestion holds

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LicenceCC BY
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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.