Evidence map›Paper›PMID 33588885›Full record

ArticleCost effectiveness and resource allocation : C/E2021

Cost-effectiveness analysis of text messaging to support health advice for smoking cessation.

Raquel Cobos-Campos, Javier Mar, Antxon Apiñaniz, Arantza Sáez de Lafuente, Naiara Parraza, Felipe Aizpuru, Gorka Orive

Abstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Smoking Cessation Apps: A Systematic Review of Format, Outcomes, and Features.International journal of environmental research and public health · 2021
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Barriers and Facilitators to Smoking Cessation Among University Students: A Scoping Review.International journal of environmental research and public health · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. The Impact of Digital Health on Smoking Cessation.Interactive journal of medical research · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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.

Raquel Cobos-CamposBioaraba Health Research Institute, Epidemiology and Public Health Research group, Vitoria-Gasteiz, Spain. raquel.coboscampos@osakidetza.eus.
Javier MarOsakidetza Basque Health Service, Primary Care Research Unit of Gipuzkoa, Alto Deba Hospital, Arrasate-Mondragón, Spain.
Antxon ApiñanizBioaraba Health Research Institute, Epidemiology and Public Health Research group, Vitoria-Gasteiz, Spain.
Arantza Sáez de LafuenteBioaraba Health Research Institute, Epidemiology and Public Health Research group, Vitoria-Gasteiz, Spain.
Naiara ParrazaBioaraba Health Research Institute, Epidemiology and Public Health Research group, Vitoria-Gasteiz, Spain.
Felipe AizpuruPreventive Medicine and Public Health Department, University of Basque Country UPV/EHU, Vitoria-Gasteiz, Spain.
Gorka OriveNanoBioCel Group, Laboratory of Pharmaceutics, School of Pharmacy, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain. gorka.orive@ehu.eus.ORCID http://orcid.org/0000-0002-0773-300X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking in one of the most serious public health problems. It is well known that it constitutes a major risk factor for chronic diseases and the leading cause of preventable death worldwide. Due to high prevalence of smokers, new cost-effective strategies seeking to increase smoking cessation rates are needed.

methodsWe performed a Markov model-based cost-effectiveness analysis comparing two treatments: health advice provided by general practitioners and nurses in primary care, and health advice reinforced by sending motivational text messages to smokers' mobile phones. A Markov model was used in which smokers transitioned between three mutually exclusive health states (smoker, former smoker and dead) after 6-month cycles. We calculated the cost-effectiveness ratio associated with the sending of motivational messages. Health care and society perspectives (separately) was adopted. Costs taken into account were direct health care costs and direct health care cost and costs for lost productivity, respectively. Additionally, deterministic sensitivity analysis was performed modifying the probability of smoking cessation with each option.

resultsSending of text messages as a tool to support health advice was found to be cost-effective as it was associated with increases in costs of €7.4 and €1,327 per QALY gained (ICUR) for men and women respectively from a healthcare perspective, significantly far from the published cost-effectiveness threshold. From a societal perspective, the combined programmed was dominant.

conclusionsSending text messages is a cost-effective approach. These findings support the implantation of the combined program across primary care health centres.

Indexed as

Cost of illness, MeSH unique ID: D017281Costs and cost analysis, MeSH unique ID: D003365Quality-adjusted life years, MeSH unique ID: D019057Smoking cessation, MeSH unique ID: D016540Text messaging, MeSH unique ID: D060145

Identifiers

PMID33588885
PMCPMC7885425

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.