Measuring changes in alcohol use in Finland and Norway during the COVID-19 pandemic: Comparison between data sources.
Ontology highlight
ABSTRACT: Objectives
To examine (1) how a rapid data collection using a convenience sample fares in estimating change in alcohol consumption when compared to more conventional data sources, and (2) how alcohol consumption changed in Finland and Norway during the first months of the COVID-19 pandemic.Methods
Three different types of data sources were used for the 2nd quarter of 2020 and 2019: sales statistics combined with data on unrecorded consumption; the rapid European Alcohol Use and COVID-19 (ESAC) survey (Finland: n = 3800, Norway: n = 17,092); and conventional population surveys (Finland: n = 2345, Norway: n1 = 1328, n2 = 2189, n3 = 25,708). Survey measures of change were retrospective self-reports.Results
The statistics indicate that alcohol consumption decreased in Finland by 9%, while little change was observed in Norway. In all surveys, reporting a decrease in alcohol use was more common than reporting an increase (ratios 2-2.6 in Finland, 1.3-2 in Norway). Compared to conventional surveys, in the ESAC survey fewer respondents reported no change and past-year alcohol consumption was higher.Conclusion
The rapid survey using convenience sampling gave similar results on change in drinking as conventional surveys but higher past-year drinking, suggesting self-selection effects. Aspects of the pandemic driving alcohol consumption down were equally strong or stronger than those driving it up.
SUBMITTER: Makela P
PROVIDER: S-EPMC8633923 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Aims: To compare the early impact of COVID-19 infections and mortality from February to July 2020 across the Nordic nations of Sweden, Norway, Denmark, and Finland through available public data sources and conduct a descriptive analysis of the potential factors that drove different epidemiological outcomes, with a focus on Sweden's response. Methods: COVID-19 cases, deaths, tests, case age distribution, and the difference between 2020 all-cause mortality and the average mortality of the previous 5 years were compared across nations. Patterns in cell phone mobility data, testing strategies, and seniors' care home deaths were also compared. Data for each nation were based on publicly available sources as of July 31, 2020. Results: Compared with its Nordic peers, Sweden had a higher incidence rate across all ages, a higher COVID-19-related death rate only partially explained by population demographics, a higher death rate in seniors' care, and higher all-cause mortality. Sweden had approximately half as much mobility change as its Nordic neighbours until April and followed similar rates as its neighbours from April to July. Denmark led its Nordic peers in testing rates, while Sweden had the highest cumulative test-positivity rate continuously from mid-March. Conclusions: COVID-19 pushed Sweden's health system to its capacity, exposed systemic weaknesses in the seniors' care system, and revealed challenges with implementing effective contact tracing and testing strategies while experiencing a high case burden. Looser government restrictions at the beginning of the outbreak are likely to have played a role in the impact of COVID-19 in Sweden. In an effort to improve epidemic control, Sweden has increased testing rates, implemented more restrictive prevention measures, and increased their intensive care unit bed capacity.
| S-EPMC7797349 | biostudies-literature
Project description:PURPOSE:There is widespread concern about increases in antibiotic use, but comparative data from different European countries on rates of use are lacking. This study was designed to measure and understand the variation in antibiotic utilization across five European countries. METHODS:Seven European healthcare databases with access to primary care data from Denmark, Germany, the Netherlands, Spain and the UK were used to measure and compare the point and 1-year-period prevalence of antibiotic use between 2004 and 2009. Descriptive analyses were stratified by gender, age and type of antibiotic. Separate analyses were performed to measure the most common underlying indications leading to the prescription of an antibiotic. RESULTS:The average yearly period prevalence of antibiotic use varied from 15 (Netherlands) to 30 (Spain) users per 100 patients. A higher prevalence of antibiotic use by female patients, the very young (0-9 years) and old (80+ years), was observed in all databases. The lowest point prevalence was recorded in June and September and ranged from 0.51 (Netherlands) to 1.47 (UK) per 100 patients per day. Twelve percent (Netherlands) to forty-nine (Spain) percent of all users were diagnosed with a respiratory tract infection, and the most common type of antibiotic prescribed were penicillin. CONCLUSION:Using identical methodology in seven EU databases to assess antibiotic use allowed us to compare drug usage patterns across Europe. Our results contribute quantitatively to the true understanding of similarities and differences in the use of antibiotic agents in different EU countries.
| S-EPMC4918309 | biostudies-literature
Project description:BACKGROUND:Multimorbidity is a global health issue, particularly for older adults in the primary care setting. An adequate portrayal of its epidemiology is essential to properly identify and understand the health care needs of this population. This study aimed to compare the differences in the prevalence of selected chronic conditions and multimorbidity, including its associated characteristics, using health survey/self-reported (SR) information only, administrative (Adm) data only and the combined (either) sources. METHODS:This was a secondary analysis of survey data from the first cycle of the Longitudinal Survey on Senior's Health and Health Services Use linked to health-Adm data. The analytical sample consisted of 1625 community-dwelling older adults (≥65 years) recruited in the waiting rooms of primary health clinics in a selected administrative region of the province of Quebec. Seventeen chronic conditions were assessed according to two different data sources. We examined the differences in the observed prevalence of chronic conditions and multimorbidity and the agreement between data sources. RESULTS:The prevalence of each of the 17 chronic conditions ranged from 1.2 to 68.7% depending on the data source. The agreement between different data sources was highly variable, with kappa coefficients (κ) ranging from 0.05 to 0.73. Multimorbidity was very high in this population, with an estimated prevalence of up to 95.9%. In addition, we found that the association between sociodemographic and behavioural factors and the presence of multimorbidity varied according to the different data sources and thresholds. CONCLUSIONS:This is the first study to simultaneously investigate chronic conditions and multimorbidity prevalence among primary care older adults using combined SR and health-Adm data. Our results call attention to (1) the possibility of underestimating cases when using a single data source and (2) the potential benefits of integrating information from different data sources to increase case identification. This is an important aspect of characterizing the health care needs of this fast-growing population.
| S-EPMC6570867 | biostudies-other
Project description:BackgroundThe COVID-19 pandemic has seen the implementation of unprecedented legislation and policy, including drug control measures which in some countries, like Botswana, included a temporary full alcohol sales ban. However, the association of such absolute prohibition of alcohol sales on population drinking, including hazardous drinking, during the COVID-19 period has not yet been determined. This study investigated changes in retrospectively recalled alcohol use and hazardous drinking pre (prior 5th August 2020), during (5th August to 3rd September 2020) and post (after 4th September) the second alcohol sales ban in Botswana. Predictors of hazardous drinking across the three time points were also investigated.MethodsAn online cross-sectional study involving a convenience sample of 1318 adults with a past 12 months drinking history in Botswana was conducted in October 2020 following a month long alcohol sales prohibition. Participants completed a modified Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) alongside demographic questions. Participants were expected to retrospectively recall their alcohol use pre, during and post the second alcohol sales ban.ResultsThe prevalence of alcohol use among participants with a past 12 months drinking history was 91.7% (95%CI= 90.1-93.1) before the second ban, 62.3% (95%CI= 59.7-64.9) during the second ban, and 90.4% (95%CI= 88.7-91.8) after the ban.. Hazardous drinking temporarily decreased by 30% during the second alcohol sales ban, and rose to the pre-ban levels of about 60% after the ban. Significant predictors of hazardous drinking at any of the three time points (pre, during and post the second ban) were being male (AOR ranging from 1.50 to 2.13 for all time points), earning between P3000-P6000 (AOR= 1.69 prior sales ban), being a student (AOR=0.56 during the sales ban), and being employed (AOR= 1.45 post the sales ban).ConclusionThe alcohol sales ban was associated with short-lived changes in alcohol consumption and hazardous drinking thereby likely contributed in providing the anticipated and much needed temporary relief to the health system sought by COVID-19 pandemic measures.
| S-EPMC8788949 | biostudies-literature
Project description:Preventive care delivery is an important quality outcome, and electronic data reports are being used increasingly to track these services. It is highly informative when electronic data sources are compared to information manually extracted from medical charts to assess validity and completeness.This cross-sectional study used a random sample of Medicaid-insured patients seen at 43 community health centers in 2011 to calculate standard measures of correspondence between manual chart review and two automated sources (electronic health records [EHRs] and Medicaid claims), comparing documentation of orders for and receipt of ten preventive services (n=150 patients/service). Data were analyzed in 2015.Using manual chart review as the gold standard, automated EHR extraction showed near-perfect to perfect agreement (?=0.96-1.0) for services received within the primary care setting (e.g., BMI, blood pressure). Receipt of breast and colorectal cancer screenings, services commonly referred out, showed moderate (?=0.42) to substantial (?=0.62) agreement, respectively. Automated EHR extraction showed near-perfect agreement (?=0.83-0.97) for documentation of ordered services. Medicaid claims showed near-perfect agreement (?=0.87) for hyperlipidemia and diabetes screening, and substantial agreement (?=0.67-0.80) for receipt of breast, cervical, and colorectal cancer screenings, and influenza vaccination. Claims showed moderate agreement (?=0.59) for chlamydia screening receipt. Medicaid claims did not capture ordered or unbilled services.Findings suggest that automated EHR and claims data provide valid sources for measuring receipt of most preventive services; however, ordered and unbilled services were primarily captured via EHR data and completed referrals were more often documented in claims data.
| S-EPMC5067199 | biostudies-literature
Project description:The boreal region is facing intensifying resource extraction pressure, but the lack of comprehensive biodiversity data makes operative forest conservation planning difficult. Many countries have implemented forest inventory schemes and are making extensive and up-to-date forest databases increasingly available. Some of the more detailed inventory databases, however, remain proprietary and unavailable for conservation planning. Here, we investigate how well different open and proprietary forest inventory data sets suit the purpose of conservation prioritization in Finland. We also explore how much priorities are affected by using the less accurate but open data. First, we construct a set of indices for forest conservation value based on quantitative information commonly found in forest inventories. These include the maturity of the trees, tree species composition, and site fertility. Secondly, using these data and accounting for connectivity between forest types, we investigate the patterns in conservation priority. For prioritization, we use Zonation, a method and software for spatial conservation prioritization. We then validate the prioritizations by comparing them to known areas of high conservation value. We show that the overall priority patterns are relatively consistent across different data sources and analysis options. However, the coarse data cannot be used to accurately identify the high-priority areas as it misses much of the fine-scale variation in forest structures. We conclude that, while inventory data collected for forestry purposes may be useful for forest conservation purposes, it needs to be detailed enough to be able to account for more fine-scaled features of high conservation value. These results underline the importance of making detailed inventory data publicly available. Finally, we discuss how the prioritization methodology we used could be integrated into operative forest management, especially in countries in the boreal zone.
| S-EPMC4552654 | biostudies-literature
Project description:BACKGROUND: The estimate of the prevalence of the most common chronic conditions (CCs) is calculated using direct methods such as prevalence surveys but also indirect methods using health administrative databases.The aim of this study is to provide estimates prevalence of CCs in Lazio region of Italy (including Rome), using the drug prescription's database and to compare these estimates with those obtained using other health administrative databases. METHODS: Prevalence of CCs was estimated using pharmacy data (PD) using the Anathomical Therapeutic Chemical Classification System (ATC).Prevalences estimate were compared with those estimated by hospital information system (HIS) using list of ICD9-CM diagnosis coding, registry of exempt patients from health care cost for pathology (REP) and national health survey performed by the Italian bureau of census (ISTAT). RESULTS: From the PD we identified 20 CCs. About one fourth of the population received a drug for treating a cardiovascular disease, 9% for treating a rheumatologic conditions.The estimated prevalences using the PD were usually higher that those obtained with one of the other sources. Regarding the comparison with the ISTAT survey there was a good agreement for cardiovascular disease, diabetes and thyroid disorder whereas for rheumatologic conditions, chronic respiratory illnesses, migraine and Alzheimer's disease, the prevalence estimates were lower than those estimated by ISTAT survey. Estimates of prevalences derived by the HIS and by the REP were usually lower than those of the PD (but malignancies, chronic renal diseases). CONCLUSION: Our study showed that PD can be used to provide reliable prevalence estimates of several CCs in the general population.
| S-EPMC3223740 | biostudies-literature
Project description:Societal instability and crises can cause rapid, large-scale movements. These movements are poorly understood and difficult to measure but strongly impact health. Data on these movements are important for planning response efforts. We retrospectively analyzed movement patterns surrounding a 2010 humanitarian crisis caused by internal political conflict in Côte d'Ivoire using two different methods.We used two remote measures, nighttime lights satellite imagery and anonymized mobile phone call detail records, to assess average population sizes as well as dynamic population changes. These data sources detect movements across different spatial and temporal scales.The two data sources showed strong agreement in average measures of population sizes. Because the spatiotemporal resolution of the data sources differed, we were able to obtain measurements on long- and short-term dynamic elements of populations at different points throughout the crisis.Using complementary, remote data sources to measure movement shows promise for future use in humanitarian crises. We conclude with challenges of remotely measuring movement and provide suggestions for future research and methodological developments.
| S-EPMC4357797 | biostudies-other
Project description:ObjectivesMeasuring retention is critical for antiretroviral therapy (ART) management and program monitoring; however, many definitions and data sources, usually from single health facilities, are used. We used routine electronic data, linked across facilities, to examine the impact of definitions and data sources on retention estimates among women in Cape Town, South Africa.DesignRetrospective cohort study.MethodsWe compiled routine electronic laboratory, pharmacy and clinic visit data for 617 women who started ART during pregnancy (2013-2014) and estimated 24-month retention using different definitions and data sources. We used logistic regression to assess consistency of associations between risk factors and retention, and receiver operating characteristics analyses to describe how different retention estimates predict viremia at 12 months on ART.ResultsUsing all available data sources, retention ranged from 41% (no gap >180 days) to 72% (100% 12-month visit constancy). Laboratory data (expected infrequently) underestimated retention compared with clinic visit data that identified more than 80% of women considered retained in all definitions. In all estimates, associations with known risk factors for nonretention remained consistent and retention declined over time: 77, 65 and 58% retained using all data sources in months 6-12, 12-18 and 18-24, respectively (P < 0.001). The 180-day gap definition was most strongly associated with viremia (odds ratio 24.3 95% confidence interval 12.0-48.9, all data sources).ConclusionResearchers must carefully consider the most appropriate retention definition and data source depending on available data. Presenting more than one approach may be warranted to obtain estimates that are context-appropriate and comparable across settings.
| S-EPMC7109335 | biostudies-literature
Project description:IssuesNumerous studies have examined the impact of the COVID-19 pandemic on alcohol use changes in Europe, with concerns raised regarding increased use and related harms.ApproachWe synthesised observational studies published between 1 January 2020 and 31 September 2021 on self-reported changes in alcohol use associated with COVID-19. Electronic databases were searched for studies evaluating individual data from European general and clinical populations. We identified 646 reports, of which 56 general population studies were suitable for random-effects meta-analyses of proportional differences in alcohol use changes. Variations by time, sub-region and study quality were assessed in subsequent meta-regressions. Additional 16 reports identified were summarised narratively.Key findingsCompiling reports measuring changes in overall alcohol use, slightly more individuals indicated a decrease than an increase in their alcohol use during the pandemic [3.8%, 95% confidence interval (CI) 0.00-7.6%]. Decreases were also reported more often than increases in drinking frequency (8.0%, 95% CI 2.7-13.2%), quantity consumed (12.2%, 95% CI 8.3-16.2%) and heavy episodic drinking (17.7%, 95% CI 13.6-21.8%). Among people with pre-existing high drinking levels/alcohol use disorder, high-level drinking patterns appear to have solidified or intensified.ImplicationsPandemic-related changes in alcohol use may be associated with pre-pandemic drinking levels. Increases among high-risk alcohol users are concerning, suggesting a need for ongoing monitoring and support from relevant health-care services.ConclusionOur findings suggest that more people reduced their alcohol use in Europe than increased it since the onset of the pandemic. However high-quality studies examining specific change mechanisms at the population level are lacking.
| S-EPMC9111882 | biostudies-literature