Evidence map›Paper›PMID 24575293›Full record

ArticleAgeing research2012

Relations between cognitive status and medication adherence in patients treated for memory disorders.

Raymond L Ownby, Christopher Hertzog, Sara J Czaja

Open access · diamondAbstract read
In one paragraph

Article in Ageing research, 2012. 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
0.2field-weighted citation impact, top 40% 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.

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, 6 citations in OpenAlex.

  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

3 authors at 3 institutions in 1 country.

Raymond L OwnbyNova Southeastern University, Fort Lauderdale, Florida.
Christopher HertzogSchool of Psychology, Georgia Institute of Technology, Atlanta, Georgia.
Sara J CzajaUniversity of Miami, Miami, Florida, USA.
Georgia Institute of Technology · USNova Southeastern University · USUniversity of Miami · US

Funding

Information Technologies to Improve Patient AdherenceK23AG019745 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI OWNBY, RAYMOND L · 2002 to 2006
$899k
NIA NIH HHS K23 AG019745
6 · The paper itself

Abstract

Medication adherence has been increasingly recognized as an important factor in elderly persons' health. Various studies have shown that medication non-adherence is associated with poor health status in this population. As part of a study of the effects of two interventions to promote medication adherence in patients treated for memory problems, information on medication adherence and cognitive status was collected at 3-month intervals. Twenty-seven participants (16 men, 11 women, age 71-92 years) were assigned to control or treatment conditions and adherence was evaluated with an electronic monitoring device. Cognitive status was evaluated at 3-month intervals beginning in April of 2003 and continuing through September of 2006. We have previously reported on the effectiveness of these interventions to promote adherence. In this paper, we examine the relations of cognitive status and adherence over time using a partial least squares path model in order to evaluate the extent to which adherence to cholinesterase medications was related to cognitive status. Adherence predicted cognitive status at later time points while cognition did not, in general, predict adherence. Results thus suggest that interventions to ensure high levels of medication adherence may be important for maintaining cognitive function in affected elderly people.

Indexed as

Alzheimercognitionmedication adherence

Identifiers

PMID24575293
PMCPMC3933210
OpenAlexW2100287755

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.