Evidence map›Paper›PMID 34831811›Full record

ArticleInternational journal of environmental research and public health2021

Validation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder.

Surya Roca, María Luisa Lozano, José García, Álvaro Alesanco

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Impact of text reminders on pneumatic compression device (PCD) compliance in patients with breast cancer-related lymphedema.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Artificial intelligence virtual assistants in primary eye care practice.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Editorial: Covid-19 and Virtual Geriatric Care.The journal of nutrition, health & aging · 2022
    Article
  18. 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

4 authors at 1 institution in 1 country.

Surya RocaAragón Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain.ORCID 0000-0003-2608-6431
María Luisa LozanoCentro de Salud Las Fuentes Norte, 50002 Zaragoza, Spain.ORCID 0000-0003-2448-1630
José GarcíaAragón Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain.ORCID 0000-0001-9485-7678
Álvaro AlesancoAragón Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain.ORCID 0000-0002-5254-1402
Universidad de Zaragoza · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual assistants are programs that interact with users through text or voice messages simulating a human-based conversation. The development of healthcare virtual assistants that use messaging platforms is rapidly increasing. Still, there is a lack of validation of these assistants. In particular, this work aimed to validate the effectiveness of a healthcare virtual assistant, integrated within messaging platforms, with the aim of improving medication adherence in patients with comorbid type 2 diabetes mellitus and depressive disorder. For this purpose, a nine-month pilot study was designed and subsequently conducted. The virtual assistant reminds patients about their medication and provides healthcare professionals with the ability to monitor their patients. We analyzed the medication possession ratio (MPR), measured the level of glycosylated hemoglobin (HbA1c), and obtained the patient health questionnaire (PHQ-9) score in the patients before and after the study. We also conducted interviews with all participants. A total of thirteen patients and five nurses used and evaluated the proposed virtual assistant using the messaging platform Signal. Results showed that on average, the medication adherence improved. In the final interview, 69% of the patients agreed with the idea of continuing to use the virtual assistant after the study.

Indexed as

Depressive DisorderDiabetes Mellitus, Type 2Text MessagingHumansMedication AdherencePilot Projectschat-based interactionchronic diseasechronic patient supportdepressive disorderdiabeteseHealthhealth information technologymedical virtual assistantmessaging platformsmHealth

Identifiers

PMID34831811
PMCPMC8620667
OpenAlexW3214677041

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.