Evidence map›Paper›PMID 34007605›Full record

ArticleInnovations in pharmacy2020

Patient Assistance Programs and Technology in Medication Adherence.

Carlos Colon, Paulette Salas, Militza Díaz, Raiza Cotto, Isabel Martínez, Genevieve M Hale, Nile M Khanfar

Open access · diamondAbstract read
In one paragraph

Article in Innovations in pharmacy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Carlos ColonNova Southeastern University College of Pharmacy.
Paulette SalasNova Southeastern University College of Pharmacy.
Militza DíazNova Southeastern University College of Pharmacy.
Raiza CottoNova Southeastern University College of Pharmacy.
Isabel MartínezNova Southeastern University College of Pharmacy.
Genevieve M HaleNova Southeastern University College of Pharmacy.
Nile M KhanfarNova Southeastern University College of Pharmacy.
Nova Southeastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient assistance programs, including medication management and counseling, have the potential to improve care in chronic disease states with complex therapies. Incorporating technology as a tool to foster adherence is becoming more commonplace in practice.

objectivesThe purpose of this report is to identify barriers of medication adherence and review the impact of patient assistance programs and technology on medication adherence.

methodsA literature search was conducted in secondary databases, PubMed/MEDLINE and EBSCOhost of peer-reviewed systematic reviews, experimental, quasi-experimental, and observational reports published in English within the last fifteen years. Terms searched included patient assistance program, pharmacist role, technology, adherence or compliance, income and health.

resultsTen studies met our prespecified criteria. Male sex, several self-reported chronic diseases, negative expectancy of treatment, engagement in polypharmacy, financial hardships and lower education level correlated with lower medication adherence. Patient care assistance programs and utilization of technology (e.g., use of a mobile application) improved medication adherence.

conclusionsPatient assistance programs and technological tools, such as mobile applications,are necessary resources in improvingmedication adherence.

Indexed as

medication adherencepatient assistant programspharmacytechnology

Identifiers

PMID34007605
PMCPMC8051914
OpenAlexW3033839893

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.