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Gorka Orive
Universidad del Pais Vasco
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0773-300X
License:
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Background: Smoking 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.
Methods: We performed a Markov model-based cost-effectiveness analysiscomparing 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 smokerstransitioned 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 costsfor lost productivity, respectively.Additionally, deterministic sensitivity analysis was performed modifying the probability of smoking cessation with each option.
Results: Sending 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 (ICER)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.
Conclusions: Sending text messages is a cost-effective approach. These findings support the implantation of the combined program across primary care health centres.
Keywords
Smoking cessation, Costs and cost analysis, Cost of Illness, Quality-Adjusted Life Years, Text messaging
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CURRENT STATUS: Published
View the published article at Cost Effectiveness and Resource Allocation.
Version 3
Posted 17 Nov, 2020
No community comments so far
Editorial decision: Accept
On 29 Jan, 2021
Editor assigned
On 12 Nov, 2020
Submission checks complete
On 12 Nov, 2020
Editor invited
On 12 Nov, 2020
No comments provided
Reviewer #3 agreed
On 06 Nov, 2020
Review #1 received
Received 29 Oct, 2020
Review #2 received
Received 28 Oct, 2020
Reviewers invited
Invitations sent on 27 Oct, 2020
Reviewer #1 agreed
On 27 Oct, 2020
Reviewer #2 agreed
On 27 Oct, 2020
Editor assigned
On 26 Oct, 2020
Submission checks complete
On 25 Oct, 2020
Editor invited
On 25 Oct, 2020
No comments provided
Editorial decision: Major Revision
On 13 Oct, 2020
Review #4 received
Received 03 Oct, 2020
Review #5 received
Received 03 Oct, 2020
Reviewer #5 agreed
On 27 Sep, 2020
Reviewer #6 agreed
On 27 Sep, 2020
Reviewer #4 agreed
On 26 Sep, 2020
Review #3 received
Received 26 Sep, 2020
Reviewer #3 agreed
On 24 Sep, 2020
Review #2 received
Received 29 Jun, 2020
Reviewer #2 agreed
On 24 Jun, 2020
Review #1 received
Received 26 May, 2020
Reviewer #1 agreed
On 02 May, 2020
Reviewers invited
Invitations sent on 11 Mar, 2020
First submitted
On 14 Feb, 2020
Editor assigned
On 14 Feb, 2020
Submission checks complete
On 13 Feb, 2020
Editor invited
On 13 Feb, 2020
Metrics
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PDF Downloads: ...
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Subject Areas
Health Economics & Outcomes Research
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A new preprint design is coming!
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See the published version of this preprint at Cost Effectiveness and Resource Allocation.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Gorka Orive
Universidad del Pais Vasco
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0773-300X
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Cost Effectiveness and Resource Allocation.
Version 3
Posted 17 Nov, 2020
No community comments so far
Editorial decision: Accept
On 29 Jan, 2021
Editor assigned
On 12 Nov, 2020
Submission checks complete
On 12 Nov, 2020
Editor invited
On 12 Nov, 2020
No comments provided
Reviewer #3 agreed
On 06 Nov, 2020
Review #1 received
Received 29 Oct, 2020
Review #2 received
Received 28 Oct, 2020
Reviewers invited
Invitations sent on 27 Oct, 2020
Reviewer #1 agreed
On 27 Oct, 2020
Reviewer #2 agreed
On 27 Oct, 2020
Editor assigned
On 26 Oct, 2020
Submission checks complete
On 25 Oct, 2020
Editor invited
On 25 Oct, 2020
No comments provided
Editorial decision: Major Revision
On 13 Oct, 2020
Review #4 received
Received 03 Oct, 2020
Review #5 received
Received 03 Oct, 2020
Reviewer #5 agreed
On 27 Sep, 2020
Reviewer #6 agreed
On 27 Sep, 2020
Reviewer #4 agreed
On 26 Sep, 2020
Review #3 received
Received 26 Sep, 2020
Reviewer #3 agreed
On 24 Sep, 2020
Review #2 received
Received 29 Jun, 2020
Reviewer #2 agreed
On 24 Jun, 2020
Review #1 received
Received 26 May, 2020
Reviewer #1 agreed
On 02 May, 2020
Reviewers invited
Invitations sent on 11 Mar, 2020
First submitted
On 14 Feb, 2020
Editor assigned
On 14 Feb, 2020
Submission checks complete
On 13 Feb, 2020
Editor invited
On 13 Feb, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Health Economics & Outcomes Research
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Cost Effectiveness and Resource Allocation.
Background: Smoking 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.
Methods: We performed a Markov model-based cost-effectiveness analysiscomparing 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 smokerstransitioned 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 costsfor lost productivity, respectively.Additionally, deterministic sensitivity analysis was performed modifying the probability of smoking cessation with each option.
Results: Sending 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 (ICER)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.
Conclusions: Sending text messages is a cost-effective approach. These findings support the implantation of the combined program across primary care health centres.
Figure 1
Figure 1
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