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      Primary care implementation study to scale up early identification and brief intervention and reduce alcohol-related negative outcomes at the community level (PINO): study protocol for a quasi-experimental 3-arm study

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          Abstract

          Background

          Primary healthcare-based Early Identification and Brief Intervention (EIBI) for hazardous and harmful alcohol use is both a clinically relevant and cost-effective strategy to reduce heavy drinking. Unfortunately, it remains poorly implemented in daily practice. Multiple studies have shown that training and support (T&S) programs can increase the use of EIBI. Nonetheless, gains have only been modest and short-term at best. Suggestions have been made to rely more on multicomponent programs that simultaneously address several barriers to the implementation of EIBI. The PINO-project aims to evaluate the added value of such a multicomponent program to improve EIBI delivery in daily practice.

          Methods/design

          A quasi-experimental three-arm implementation study in Flanders (Belgium) will assess the effects of tailored T&S to General Practitioners (GPs) with or without community mobilisation on EIBI delivery in general practice. The study lasts 18 months and will take place in three comparable municipalities. In municipality 1 and 2, GPs receive a tailored T&S program. The T&S is theoretically founded and tailored to the GPs’ views, needs and practice characteristics. Furthermore, community actions will be embedded within municipality 1 providing additional, contextual, support. In municipality 3, GPs are offered a minimal intervention to facilitate data collection.

          The primary outcome is the proportion of adult patients screened for hazardous and harmful alcohol use at the end of an 18-month implementation period. The secondary outcome is the scaling up activity at municipal level in screening rates, as assessed every 3 months, and the proportion of patients who received an additional brief intervention when necessary. Furthermore, the correlation between the opinions and needs of the GP’s, their practice organisation and their EIBI performance will be explored.

          Discussion

          The PINO-project addresses the gap between what is theoretically possible and the current practice. This is an innovative study combining T&S at GP level with community actions. At the same time, it implements and evaluates practice T&S based on the theoretical domains framework.

          Trial registration

          This trial was approved by the Ethics Committee for Research of UZ/KU Leuven (reference number s63342 and G-2020-2177-R2(MAR)) and is registered on clinicaltrials.gov ( NCT04398576) in May 2020.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12875-021-01479-9.

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          Most cited references34

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          The behaviour change wheel: A new method for characterising and designing behaviour change interventions

          Background Improving the design and implementation of evidence-based practice depends on successful behaviour change interventions. This requires an appropriate method for characterising interventions and linking them to an analysis of the targeted behaviour. There exists a plethora of frameworks of behaviour change interventions, but it is not clear how well they serve this purpose. This paper evaluates these frameworks, and develops and evaluates a new framework aimed at overcoming their limitations. Methods A systematic search of electronic databases and consultation with behaviour change experts were used to identify frameworks of behaviour change interventions. These were evaluated according to three criteria: comprehensiveness, coherence, and a clear link to an overarching model of behaviour. A new framework was developed to meet these criteria. The reliability with which it could be applied was examined in two domains of behaviour change: tobacco control and obesity. Results Nineteen frameworks were identified covering nine intervention functions and seven policy categories that could enable those interventions. None of the frameworks reviewed covered the full range of intervention functions or policies, and only a minority met the criteria of coherence or linkage to a model of behaviour. At the centre of a proposed new framework is a 'behaviour system' involving three essential conditions: capability, opportunity, and motivation (what we term the 'COM-B system'). This forms the hub of a 'behaviour change wheel' (BCW) around which are positioned the nine intervention functions aimed at addressing deficits in one or more of these conditions; around this are placed seven categories of policy that could enable those interventions to occur. The BCW was used reliably to characterise interventions within the English Department of Health's 2010 tobacco control strategy and the National Institute of Health and Clinical Excellence's guidance on reducing obesity. Conclusions Interventions and policies to change behaviour can be usefully characterised by means of a BCW comprising: a 'behaviour system' at the hub, encircled by intervention functions and then by policy categories. Research is needed to establish how far the BCW can lead to more efficient design of effective interventions.
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            Alcohol use and burden for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

            Summary Background Alcohol use is a leading risk factor for death and disability, but its overall association with health remains complex given the possible protective effects of moderate alcohol consumption on some conditions. With our comprehensive approach to health accounting within the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we generated improved estimates of alcohol use and alcohol-attributable deaths and disability-adjusted life-years (DALYs) for 195 locations from 1990 to 2016, for both sexes and for 5-year age groups between the ages of 15 years and 95 years and older. Methods Using 694 data sources of individual and population-level alcohol consumption, along with 592 prospective and retrospective studies on the risk of alcohol use, we produced estimates of the prevalence of current drinking, abstention, the distribution of alcohol consumption among current drinkers in standard drinks daily (defined as 10 g of pure ethyl alcohol), and alcohol-attributable deaths and DALYs. We made several methodological improvements compared with previous estimates: first, we adjusted alcohol sales estimates to take into account tourist and unrecorded consumption; second, we did a new meta-analysis of relative risks for 23 health outcomes associated with alcohol use; and third, we developed a new method to quantify the level of alcohol consumption that minimises the overall risk to individual health. Findings Globally, alcohol use was the seventh leading risk factor for both deaths and DALYs in 2016, accounting for 2·2% (95% uncertainty interval [UI] 1·5–3·0) of age-standardised female deaths and 6·8% (5·8–8·0) of age-standardised male deaths. Among the population aged 15–49 years, alcohol use was the leading risk factor globally in 2016, with 3·8% (95% UI 3·2–4·3) of female deaths and 12·2% (10·8–13·6) of male deaths attributable to alcohol use. For the population aged 15–49 years, female attributable DALYs were 2·3% (95% UI 2·0–2·6) and male attributable DALYs were 8·9% (7·8–9·9). The three leading causes of attributable deaths in this age group were tuberculosis (1·4% [95% UI 1·0–1·7] of total deaths), road injuries (1·2% [0·7–1·9]), and self-harm (1·1% [0·6–1·5]). For populations aged 50 years and older, cancers accounted for a large proportion of total alcohol-attributable deaths in 2016, constituting 27·1% (95% UI 21·2–33·3) of total alcohol-attributable female deaths and 18·9% (15·3–22·6) of male deaths. The level of alcohol consumption that minimised harm across health outcomes was zero (95% UI 0·0–0·8) standard drinks per week. Interpretation Alcohol use is a leading risk factor for global disease burden and causes substantial health loss. We found that the risk of all-cause mortality, and of cancers specifically, rises with increasing levels of consumption, and the level of consumption that minimises health loss is zero. These results suggest that alcohol control policies might need to be revised worldwide, refocusing on efforts to lower overall population-level consumption. Funding Bill & Melinda Gates Foundation.
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              A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems

              Background Implementing new practices requires changes in the behaviour of relevant actors, and this is facilitated by understanding of the determinants of current and desired behaviours. The Theoretical Domains Framework (TDF) was developed by a collaboration of behavioural scientists and implementation researchers who identified theories relevant to implementation and grouped constructs from these theories into domains. The collaboration aimed to provide a comprehensive, theory-informed approach to identify determinants of behaviour. The first version was published in 2005, and a subsequent version following a validation exercise was published in 2012. This guide offers practical guidance for those who wish to apply the TDF to assess implementation problems and support intervention design. It presents a brief rationale for using a theoretical approach to investigate and address implementation problems, summarises the TDF and its development, and describes how to apply the TDF to achieve implementation objectives. Examples from the implementation research literature are presented to illustrate relevant methods and practical considerations. Methods Researchers from Canada, the UK and Australia attended a 3-day meeting in December 2012 to build an international collaboration among researchers and decision-makers interested in the advancing use of the TDF. The participants were experienced in using the TDF to assess implementation problems, design interventions, and/or understand change processes. This guide is an output of the meeting and also draws on the authors’ collective experience. Examples from the implementation research literature judged by authors to be representative of specific applications of the TDF are included in this guide. Results We explain and illustrate methods, with a focus on qualitative approaches, for selecting and specifying target behaviours key to implementation, selecting the study design, deciding the sampling strategy, developing study materials, collecting and analysing data, and reporting findings of TDF-based studies. Areas for development include methods for triangulating data, e.g. from interviews, questionnaires and observation and methods for designing interventions based on TDF-based problem analysis. Conclusions We offer this guide to the implementation community to assist in the application of the TDF to achieve implementation objectives. Benefits of using the TDF include the provision of a theoretical basis for implementation studies, good coverage of potential reasons for slow diffusion of evidence into practice and a method for progressing from theory-based investigation to intervention. Electronic supplementary material The online version of this article (doi:10.1186/s13012-017-0605-9) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                bram.pussig@kuleuven.be
                alcoholkul@gmail.com
                Annliqing@gmail.com
                Mieke.vermandere@kuleuven.be
                bert.aertgeerts@kuleuven.be
                Catharina.methei@kuleuven.be
                Journal
                BMC Fam Pract
                BMC Fam Pract
                BMC Family Practice
                BioMed Central (London )
                1471-2296
                1 July 2021
                1 July 2021
                2021
                : 22
                : 144
                Affiliations
                Academic Centre for General Practice, Kapucijnenvoer 33 blok H - bus 7001, 3001 Leuven, KU Belgium
                Author information
                http://orcid.org/0000-0003-1332-1017
                Article
                1479
                10.1186/s12875-021-01479-9
                8248288
                34210261
                7bd2170f-0f5a-4262-b817-b1e4412e5b33
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 2 October 2020
                : 4 June 2021
                Funding
                Funded by: AB Inbev Foundation
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2021

                Medicine
                scaling-up,implementation,primary healthcare,hazardous alcohol use,harmful use of alcohol,heavy drinking,training and support,community action,eibi

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