Evidence map›Paper›PMID 33446126›Full record

Trial reportBMC geriatrics2021

Medication adherence support of an in-home electronic medication dispensing system for individuals living with chronic conditions: a pilot randomized controlled trial.

Mubashir Aslam Arain, Armghan Ahmad, Venus Chiu, Lorena Kembel

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04339296 (Medication Dispensing System to Support Medication Adherence for Individuals Living at Home With Chronic Conditions), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% 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.

NCT04339296 nacompletednot on this map

Medication Dispensing System to Support Medication Adherence for Individuals Living at Home With Chronic Conditions: A Randomized Controlled Trial

TypeinterventionalSponsorAlberta Health Services, CalgaryRan2019 to 2020Enrolled91ConditionsMedication Adherence, Medication Compliance, Medication Nonadherence, HypertensionArmsSpencer
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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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 1 institution in 1 country.

Mubashir Aslam ArainHealth Systems Evaluation and Evidence, Alberta Health Services, 10301 Southport Lane SW, Calgary, Alberta, Canada. mubashiraslam.arain@ahs.ca.
Armghan AhmadHealth Systems Evaluation and Evidence, Alberta Health Services, 10301 Southport Lane SW, Calgary, Alberta, Canada.
Venus ChiuHealth Systems Evaluation and Evidence, Alberta Health Services, 10301 Southport Lane SW, Calgary, Alberta, Canada.
Lorena KembelHealth Systems Evaluation and Evidence, Alberta Health Services, 10301 Southport Lane SW, Calgary, Alberta, Canada.
Alberta Health Services · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication adherence is challenging for older adults due to factors such as the number of medications, dosing schedule, and the duration of drug therapy. The objective of this study was to examine the effectiveness of an in-home electronic medication dispensing system (MDS) on improving medication adherence and health perception in older adults with chronic conditions.

methodsA pilot Randomized Controlled Trial (RCT) was conducted using a two-arm parallel assignment model. The intervention group used an MDS as their medication management method. The control group continued to use their current methods of medication management. Block randomization was used to assign participants into the intervention or control group. The inclusion criteria included 1) English speaking 2) age 50 and over 3) diagnosed with one or more chronic condition(s) 4) currently taking five or more oral medications 5) City of Calgary resident. Participants were recruited from a primary care clinic in Alberta, Canada. The study was open-label where knowledge about group assigned to participants after randomization was not withheld. Medication adherence was captured over a continuous, six-month period and analyzed using Intention-to-Treat (ITT) analysis.

resultsA total of 91 participants were assessed for eligibility and 50 were randomized into the two groups. The number of participants analyzed for ITT was 23 and 25 in the intervention and control group, respectively. Most of the demographic characteristics were comparable in the two groups except the mean age of the intervention group, which was higher compared to the control group (63.96 ± 7.86 versus 59.52 ± 5.93, p-value = 0.03). The average recorded adherence over 26 weeks was significantly higher in the intervention group than the control group (98.35% ± 2.15% versus 91.17% ± 9.76%, p < 0.01). The self-rated medication adherence in the intervention group also showed a significant increase from baseline to 6-month (Z=-2.65, p < 0.01). The control group showed a non-significant increase (Z=-1.79, p = 0.07).

conclusionThe MDS can be an effective, long-term solution to medication non-adherence in older adults experiencing chronic conditions and taking multiple medications. The technology induces better consistency and improvement in medication taking behaviour than simple, non-technological intervention.

trial registrationRegistered with ClinicalTrials.gov on April 09, 2020 with identifier NCT04339296 .

Indexed as

ElectronicsMedication AdherenceAgedAlbertaChronic DiseaseHumansPilot ProjectsAging and older adultsHealth conditionsMedication adherenceMedication dispenserRandomized controlled trial

Identifiers

PMID33446126
PMCPMC7807760
OpenAlexW3113834142

What OpenQuestion holds

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LicenceCC BY
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.