Evidence map›Paper›PMID 34873010›Full record

ArticleBMJ open2021

Interrupted time series analyses to assess the impact of alcohol control policy on socioeconomic inequalities in mortality in Lithuania: a study protocol.

Jakob Manthey, Domantas Jasilionis, Huan Jiang, Olga Meščeriakova-Veliulienė, Janina Petkevičienė, Ričardas Radišauskas, Jürgen Rehm, Mindaugas Štelemėkas

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Jakob MantheyInstitute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany j.manthey@uke.de.ORCID 0000-0003-1231-3760
Domantas JasilionisLaboratory of Demographic Data, Max- Planck- Institute for Demographic Research, Rostock, Germany.
Huan JiangInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Olga Meščeriakova-VeliulienėDepartment of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Janina PetkevičienėHealth Research Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Ričardas RadišauskasDepartment of Environmental and Occupational Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Jürgen RehmInstitute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany.
Mindaugas ŠtelemėkasHealth Research Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania.

Funding

Evaluation of the impact of alcohol control policies on morbidity and mortality in Lithuania and other Baltic statesR01AA028224 · NIAAA · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI REHM, JUERGEN T, ŠTELEMĖKAS, MINDAUGAS · 2020 to 2024
$2.2M
NIAAA NIH HHS R01 AA028224
6 · The paper itself

Abstract

introductionAlcohol use is a major risk factor for mortality. Previous studies suggest that the alcohol-attributable mortality burden is higher in lower socioeconomic strata. This project will test the hypothesis that the 2017 increase of alcohol excise taxes linked to lower all-cause mortality rates in previous analyses will reduce socioeconomic mortality inequalities. METHODS AND ANALYSIS: Data on all causes of deaths will be obtained from Statistics Lithuania. Record linkage will be implemented using personal identifiers combining data from (1) the 2011 whole-population census, (2) death records between 1 March 2011 (census date) and 31 December 2019, and (3) emigration records, for individuals aged 40-70 years. The analyses will be performed separately for all-cause and for alcohol-attributable deaths. Monthly age-standardised mortality rates will be calculated by sex, education and three measures of socioeconomic status (SES). Inequalities in mortality will be assessed using absolute and relative indicators between low and high SES groups. We will perform interrupted time series analyses, and test the impact of the 2017 rise in alcohol excise taxation using generalised additive mixed models. In these models, we will control for secular trends for economic development. ETHICS AND DISSEMINATION: This work is part of project grant 1R01AA028224-01 by the National Institute on Alcohol Abuse and Alcoholism. It has been granted research ethics approval 050/2020 by Centre for Addiction and Mental Health Research Ethics Board on 17 April 2020, renewed on 30 March 2021. The time series of mortality inequalities as well as the statistical code will be made publicly available, allowing other researchers to adapt the proposed method to other jurisdictions.

Indexed as

Emigration and ImmigrationPublic PolicyAdultAgedHumansInterrupted Time Series AnalysisLithuaniaMiddle AgedMortalitySocial ClassSocioeconomic Factorsepidemiologyhealth policypublic health

Identifiers

PMID34873010
PMCPMC8650476

What OpenQuestion holds

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Registered trials

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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.