The HIM (Health for Izhevsk Men) trial protocol

Tomkins, Susannah; Allen, Elizabeth; Savenko, O; McCambridge, Jim; Saburova, Lyudmila; Kiryanov, Nikolay; Oralov, Alexey; Gil, Artyom; Leon, David A.; Elbourne, Diana

doi:10.1186/1472-6963-8-69

Cited by 6 publications

(6 citation statements)

References 28 publications

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“…During the cognitive tests, we discovered that respondent sensitivity was less of a problem than initially feared, consistent with previous experience in Russia where people often appreciated the opportunity to talk about their deceased relatives, knowing that they were contributing to research that may benefit public health in the future [ 12 ].…”

Section: Methods and Designsupporting

confidence: 77%

“…This was considered in the development of the questionnaire, where for some retrospective questions especially on the behaviour of the relatives we added proxy questions. For instance, since it might sometimes be challenging for respondents to recall whether or not their fathers would drink extensively not least because they might not be communicating directly, the questionnaire contains a proxy question “Have any of your family members of friends seen your father drunk?”, based on our earlier experience in conducting research on alcohol in Russia [ 12 ]. Also, since using some memorable events that remind the respondents of their life and behaviour years ago been proven as a successful way of addressing the recall bias in retrospective surveys [ 27 ], the PrivMort questionnaire includes some historical events, such as the collapse of the Soviet Union, for example, framed inside the questions.…”

Section: Discussionmentioning

confidence: 99%

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Mortality in Transition: Study Protocol of the PrivMort Project, a multilevel convenience cohort study

et al. 2016

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BackgroundPrevious research using routine data identified rapid mass privatisation as an important driver of mortality crisis following the collapse of Communism in Central and Eastern Europe. However, existing studies on the mortality crisis relying on individual level or routine data cannot assess both distal (societal) and proximal (individual) causes of mortality simultaneously. The aim of the PrivMort Project is to overcome these limitations and to investigate the role of societal factors (particularly rapid mass privatisation) and individual-level factors (e.g. alcohol consumption) in the mortality changes in post-communist countries.MethodsThe PrivMort conducts large-sample surveys in Russia, Belarus and Hungary. The approach is unique in comparing towns that have undergone rapid privatisation of their key industrial enterprises with those that experienced more gradual forms of privatisation, employing a multi-level retrospective cohort design that combines data on the industrial characteristics of the towns, socio-economic descriptions of the communities, settlement-level data, individual socio-economic characteristics, and individuals’ health behaviour. It then incorporates data on mortality of different types of relatives of survey respondents, employing a retrospective demographic approach, which enables linkage of historical patterns of mortality to exposures, based on experiences of family members. By May 2016, 63,073 respondents provided information on themselves and 205,607 relatives, of whom 102,971 had died. The settlement-level dataset contains information on 539 settlements and 12,082 enterprises in these settlements in Russia, 96 settlements and 271 enterprises in Belarus, and 52 settlement and 148 enterprises in Hungary.DiscussionIn addition to reinforcing existing evidence linking smoking, hazardous drinking and unemployment to mortality, the PrivMort dataset will investigate the variation in transition experiences for individual respondents and their families across settlements characterized by differing contextual factors, including industrial characteristics, simultaneously providing information about how excess mortality is distributed across settlements with various privatization strategies.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-016-3249-9) contains supplementary material, which is available to authorized users.

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Section: Methods and Designsupporting

confidence: 77%

Section: Discussionmentioning

confidence: 99%

Mortality in Transition: Study Protocol of the PrivMort Project, a multilevel convenience cohort study

et al. 2016

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“…We adapted the WHO Russian translation of the AUDIT questions in two respects: (i) the 1-year reference period for behaviours and consequences was replaced with a 3-month period. This was done because we were using the same instrument in a 3-month follow-up interview for a subset of the subjects enrolled in a brief intervention trial ( Tomkins et al ., 2008 ).This may have affected the total AUDIT score but should not affect the factor structure since the structure of the questions was unaltered. (ii) The first AUDIT question ‘how often do you have a drink containing alcohol?’ was modified by adding ‘including substances not intended to be drunk’.…”

Section: Methodsmentioning

confidence: 99%

Socio-demographic Predictors of Dimensions of the AUDIT Score in A Population Sample of Working-age Men in Izhevsk, Russia

Cook

Stavola

Saburova

et al. 2011

Alcohol and Alcoholism

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Aims: To investigate the relationship between socio-demographic factors and alcohol drinking patterns identified through a formal analysis of the factor structure of the Alcohol Use Disorders Identification Test (AUDIT) score in a population sample of working-age men in Russia. Methods: In 2008–2009, a sample of 1005 men aged 25–59 years living in Izhevsk, Russia were interviewed and information collected about socio-demographic circumstances. Responses to the AUDIT questions were obtained through a self-completed questionnaire. Latent dimensions of the AUDIT score were determined using confirmatory factor analysis and expressed as standard deviation (SD) units. Structural equation modelling was used to estimate the strength of association of these dimensions with socio-demographic variables. Results: The AUDIT was found to have a two-factor structure: alcohol consumption and alcohol-related problems. Both dimensions were higher in men who were unemployed seeking work compared with those in regular paid employment. For consumption, there was a difference of 0.59 SDs, (95% confidence interval (CI): 0.23, 0.88) and for alcohol-related problems one of 0.66 SD (95% CI: 0.31, 1.00). Alcohol-related problems were greater among less educated compared with more educated men (P-value for trend = 0.05), while consumption was not related to education. Similar results were found for associations with an amenity index based on car ownership and central heating. Neither dimension was associated with marital status. While we found evidence that the consumption component of AUDIT was underestimated, this did not appear to explain the associations of this dimension with socio-demographic factors. Conclusions: Education and amenity index, both measures of socio-economic position, were inversely associated with alcohol-related problems but not with consumption. This discordance suggests that self-reported questions on frequency and volume may be less sensitive markers of socio-economic variation in drinking than are questions about dependence and harm. Further investigation of the validity of the consumption component of AUDIT in Russia is warranted as it appears that the concept of a standard ‘drink’ as used in the instrument is not understood.

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“…It is therefore impossible to determine the individual importance of each of the individual elements. However, the cardiology care programme employed many components of managed care that have been identified as contributing towards improving health outcomes 19 , 20 . Firstly, as the programme promotes evidence-based practice, and provides additional incentives for the use of evidence-based pharmacotherapy 14 , participating cardiologists were more likely to provide guideline-recommended care 21 .…”

Section: Discussionmentioning

confidence: 99%

Intensified ambulatory cardiology care: effects on mortality and hospitalisation—a comparative observational study

Sawicki

Mueller

Glushan

et al. 2020

Sci Rep

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Since 2010, an intensified ambulatory cardiology care programme has been implemented in southern Germany. To improve patient management, the structure of cardiac disease management was improved, guideline-recommended care was supported, new ambulatory medical services and a morbidity-adapted reimbursement system were set up. Our aim was to determine the effects of this programme on the mortality and hospitalisation of enrolled patients with cardiac disorders. We conducted a comparative observational study in 2015 and 2016, based on insurance claims data. Overall, 13,404 enrolled patients with chronic heart failure (CHF) and 19,537 with coronary artery disease (CAD) were compared, respectively, to 8,776 and 16,696 patients that were receiving usual ambulatory cardiology care. Compared to the control group, patients enrolled in the programme had lower mortality (Hazard Ratio: 0.84; 95% CI: 0.77–0.91) and fewer all-cause hospitalisations (Rate Ratio: 0.94; 95% CI: 0.90–0.97). CHF-related hospitalisations in patients with CHF were also reduced (Rate Ratio: 0.76; 95% CI: 0.69–0.84). CAD patients showed a similar reduction in mortality rates (Hazard Ratio: 0.81; 95% CI: 0.76–0.88) and all-cause hospitalisation (Rate Ratio: 0.94; 95% CI: 0.91–0.97), but there was no effect on CAD-related hospitalisation. We conclude that intensified ambulatory care reduced mortality and hospitalisation in cardiology patients.

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The HIM (Health for Izhevsk Men) trial protocol

Cited by 6 publications

References 28 publications

Mortality in Transition: Study Protocol of the PrivMort Project, a multilevel convenience cohort study

Mortality in Transition: Study Protocol of the PrivMort Project, a multilevel convenience cohort study

Socio-demographic Predictors of Dimensions of the AUDIT Score in A Population Sample of Working-age Men in Izhevsk, Russia

Intensified ambulatory cardiology care: effects on mortality and hospitalisation—a comparative observational study

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