Evidence map›Paper›PMID 36920468›Full record

ArticleInteractive journal of medical research2023

The Impact of Digital Health on Smoking Cessation.

Raquel Cobos-Campos, Jose Aurelio Cordero-Guevara, Antxon Apiñaniz, Arantza Sáez de Lafuente, Cristina Bermúdez Ampudia, Julene Argaluza Escudero, Iraida Pérez Llanos, Naiara Parraza Diez

Open access · goldAbstract read
In one paragraph

Article in Interactive journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
8.3field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  4. Trial
  5. An exploratory study to understand how rurality status and demographic characteristics are associated with enrollment, engagement, and retention in a digital health intervention targeting the Appalachian region.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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  12. [Tobacco cessation: one of the most effective medical measures].Innere Medizin (Heidelberg, Germany) · 2024
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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

8 authors at 2 institutions in 1 country.

Raquel Cobos-CamposEpidemiology and Public Health Group, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0002-7701-0923
Jose Aurelio Cordero-GuevaraEpidemiology and Public Health Group, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0001-6680-1925
Antxon ApiñanizEpidemiology and Public Health Group, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0002-6605-2191
Arantza Sáez de LafuenteEpidemiology and Public Health Group, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0001-6247-0030
Cristina Bermúdez AmpudiaEpidemiology and Public Health Group, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0003-4823-2225
Julene Argaluza EscuderoEpidemiology and Public Health Group, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0001-7020-9713
Iraida Pérez LlanosEpidemiology and Public Health Group, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0001-8336-1052
Naiara Parraza DiezEpidemiology and Public Health Group, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0002-5902-0351
BioCruces Health research Institute · ESUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphones have become useful tools for medicine, with the use of specific apps making it possible to bring health care closer to inaccessible areas, continuously monitor a patient's pathology at any time and place, promote healthy habits, and ultimately improve patients' quality of life and the efficiency of the health care system. Since 2020, the use of smartphones has reached unprecedented levels. There are more than 350,000 health apps, according to a 2021 IQVIA Institute report, that address, among other things, the management of patient appointments; communication among different services or professionals; the promotion of lifestyle changes related to adopting healthy habits; and the monitoring of different pathologies and chronic conditions, including smoking cessation. The number of mobile apps for quitting smoking is high. As early as 2017, a total of 177 unique smoking cessation-relevant apps were identified in the iPhone App Store, 139 were identified in Google Play, 70 were identified in the BlackBerry app store, and 55 were identified in the Windows Phone Store, but very few have adequate scientific support. It seems clear that efforts are needed to assess the quality of these apps, as well as their effectiveness in different population groups, to have tools that offer added value to standard practices.

objectiveThis viewpoint aims to highlight the benefits of mobile health (mHealth) and its potential as an adjuvant tool in health care.

methodsA review of literature and other data sources was performed in order to show the current status of mobile apps that can offer support for smoking cessation. For this purpose, the PubMed, Embase, and Cochrane databases were explored between May and November 2022.

resultsIn terms of smoking cessation, mHealth has become a powerful coadjuvant tool that allows health workers to perform exhaustive follow-ups for the process of quitting tobacco and provide support anytime and anywhere. mHealth tools are effective for different groups of smokers (eg, pregnant women, patients with chronic obstructive pulmonary disease, patients with mental illness, and the general population) and are cost-effective, generating savings for the health system. However, there are some patient characteristics that can predict the success of using mobile apps in the smoking cessation process, such as the lower age of patients, dependence on tobacco, the number of quit attempts, and the previous use of mobile apps, among others. Therefore, it is preferable to offer these tools to patients with a higher probability of quitting tobacco.

conclusionsmHealth is a promising tool for helping smokers in the smoking cessation process. There is a need for well-designed clinical studies and economic evaluations to jointly assess the effectiveness of new interventions in different population groups, as well as their impact on health care resources.

Indexed as

care deliverycessationdigital healtheHealthhealth apphealth servicehealth technologymHealthmobile appmobile applicationsmobile healthquitservice deliverysmartphonesmokersmokingsmoking cessationtrend

Identifiers

PMID36920468
PMCPMC10131696
OpenAlexW4324309725

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.