Associations between alcohol intake and hospital contacts due to alcohol and unintentional injuries in 71,025 Danish adolescents - a prospective cohort study.

Background: Alcohol is a leading risk factor to adolescent health. However, it is unclear how associations between alcohol intake and injuries are shaped. We investigated the dose-response relationship between alcohol intake and risk of hospital contacts due to alcohol and unintentional injuries in adolescents. Methods: We conducted a prospective cohort study including 71,025 Danish students aged 15-24 years, followed up for five years from 2014 to 2019. The main outcome measures were hospital contacts due to alcohol and unintentional injuries (all injuries and head injuries), obtained from hospital registers. Findings: Approximately 90% of males and females reported drinking alcohol, and the median intake among those was 11 drinks/week in males and 8 drinks/week in females. During five years of follow-up, 1.3% had an alcohol-attributable hospital contact, the majority of which were due to acute intoxication (70%). Alcohol-attributable hospital contacts were equally frequent in males and females and between age groups (15-17-year-olds vs 18-24-year-olds). Compared with never drinking, the adjusted incidence rate ratios for weekly intake of <7, 7-13, 14-20, 21-27, and >27 drinks/week were 1.70 (95% confidence interval 1.23-2.34), 1.77 (1.27-2.46), 1.91 (1.35-2.70), 2.34 (1.59-3.46), and 3.25 (2.27-4.64) for having an alcohol-attributable hospital contact within five years of follow-up. Restricting follow-up to one year more than doubled risk estimates. During the five years of follow-up, 27% incurred an unintentional injury. The most frequent types of injury were to the wrist or hand (27.6%), ankle or foot (25.2%), or head (12.4%). Injuries were more frequent among males (first-time incidence rate 110 per 1000 person-years) compared to females (82 per 1000 person-years), with no differences between age groups. Compared with never drinking, the adjusted incidence rate ratios for weekly intake of <7, 7-13, 14-20, 21-27, and >27 drinks were 1.09 (1.03-1.15), 1.14 (1.07-1.20), 1.25 (1.17-1.33), 1.38 (1.28-1.49), and 1.58 (1.47-1.69) for having a hospital contact for any type of unintentional injury within five years of follow-up. Results for the one-year follow-up period were comparable. Separate analysis for head injuries showed similar results as the analysis on all injuries. Results were generally similar in males and females. Interpretation: Adolescents' drinking is associated with a higher risk of acute harm in terms of hospital contacts due to alcohol and unintentional injuries in a dose-response relationship. Thus, increased risk was apparent in those with low alcohol intake, suggesting a need for awareness of and initiatives to prevent youth drinking. Furthermore, initiatives should include a strengthened focus on people younger than 18 years. Funding: This study was funded by the Tryg Foundation (ID: 153539) and The Helse Foundation (21-B-0359).

HPV vaccination and side effects.

In Denmark, the proportion of children completing the HPV vaccination program is lower than for other vaccines, and the relatively low uptake is believed to be influenced by a media debate on suspected side effects of HPV vaccination. Based on a systematic PubMed search, this review identified 14 Danish studies that compared symptoms or disease incidence among HPV-vaccinated individuals with the incidence in a control group. Most studies showed no association between HPV vaccination and subsequent illness.

Alcohol Intake and Academic Performance and Dropout in High School: A Prospective Cohort Study in 65,233 Adolescents.

PURPOSE: During the teenage years, many adolescents start drinking alcohol, and binge drinking is prevalent. We investigated the relationship between alcohol intake and academic performance. METHODS: We conducted a longitudinal cohort study by combining data from the Danish National Youth Study on 65,233 high school students aged 15-20 years, with information on dropout and grade point average. We assessed associations between alcohol intake and academic performance using multilevel Poisson regression and linear regression, accounting for dependency between students from the same school and class. RESULTS: The average alcohol intake was 10 drinks per week, and 43.6% engaged in binge drinking 3+ times per month. During follow-up, 9.8% of the boys and 6.7% of the girls dropped out. The incidence rate ratio was higher in never drinkers, frequent binge drinkers, and those with a high weekly alcohol intake as compared to those with a low intake. For example, the incidence rate ratio was 1.47 (95% confidence level: 1.24, 1.76) in girls who drank 21-27 drinks per week and 1.29 (95% confidence level: 1.13, 1.48) in girls who never drank as compared to those who drank <7 drinks per week. Alcohol associated with a lower grade point average over the entire span of intake in a dose-dependent manner, and similarly so in boys and girls. Findings were consistent in strata of socioeconomy and individual academic ambition. DISCUSSION: Alcohol intake has implications for academic performance and poses a threat for the prospects of the individual as well as society. Policies and interventions aimed at lowering the intake among high school students are warranted.

Predicting Individual Risk of Emergency Hospital Admissions - A Retrospective Validation Study.

PURPOSE: A high number of hospital admissions may indicate poor general health and less than optimal health care across sectors. To prevent hospital admissions, previous studies have focused on predicting readmissions relating to a defined index admission and specific condition, whereas generic models suited for community-dwelling persons are lacking. The aim of this study was to validate a generic model that predicted risk of emergency hospital admission within the following three months and to investigate regional variation. MATERIALS AND METHODS: This study is an observational register-based validation study of a prediction model. The prediction model was based on a population of frail elderly, persons with non-communicable diseases, and persons with three emergency hospital admissions using information about diagnoses and hospital contacts. The prediction model consisted of two stages. In the first stage, covariate associations to admissions are estimated from observed data in one year. In the second stage, admissions are predicted in the coming three months based on observed estimations from the first stage. The validity of the model was calculated by comparing predicted and observed admissions from August 1st to October 31st, 2016. RESULTS: The study included 112,026 persons. In nationwide data, area under the curve (AUC) was 0.7742 (95% CI 0.7698-0.7786), and the positive predictive value was 52% for the 99th percentile (the top 1%). AUC varied between regions from 0.6914 in Southern Denmark (95% CI 0.6779-0.7049) to 0.8224 (95% CI 0.8064-0.8384) in North Denmark. AUC was higher with nationwide data compared to regional. CONCLUSION: The model performed satisfactorily in predicting individual risk of emergency hospital admission.

The national implementation of 'Proactive Health Support' in Denmark since 2017: Expectations and challenges for the telephone-based self-management program.

In Denmark, as in many other Western countries, a small group of people are major hospital users and account for a large proportion of health care spending. Proactive Health Support (PaHS) is the first national Danish program that aims to reduce health care consumption targeting people at risk of becoming major users of health services. PaHS was part of the government's The sooner-the better national health policy, which includes a focus on policy programs targeting the weakest and most complex chronic patients at risk of high health care consumption. PaHS is a telephone-based self-management support program that uses a prediction model to identify people at high risk of acute hospital admissions. Reducing preventable hospital admissions and enhancing quality of life are central policy goals. The Danish policy was inspired by a Swedish policy program, and PaHS has been implemented based on policy transfer with political expectations that the Swedish results can be replicated in Denmark. The effects of PaHS are currently under study, and time will show whether expectations can be met. This paper discusses institutional conditions and expectations related to replicating a policy program and its outcomes. In addition, it highlights implementation issues that may affect the success of the policy program.

Proactive health support (PaHS) - telephone-based self-management support for persons at risk of hospital admission: Study protocol for a randomized controlled trial.

BACKGROUND: A small proportion of patients account for most of the healthcare costs. Previous studies of supportive interventions have several methodological limitations and results are mixed. This article describes the protocol for Proactive Health Support: a national randomized controlled trial of telephone-based self-management support (ClinicalTrials.gov, NCT03628469). The main aim of the intervention is to reduce hospital admissions and improve quality of life at six months. METHODS: A sample size of 4400 is needed and individuals with the highest risk of hospital admission in Denmark are invited by electronic communication and telephone to participate in a 1:1 randomized controlled trial. The intervention group receives one face-to-face start-up session followed by telephone sessions about individual goals regarding participants' knowledge, coping and need of healthcare. Quality of life was assessed with the mental health composite score of the SF-36v2 questionnaire. Primary analyses are done using the intention-to-treat principle. DISCUSSION: The trial has been approved by The Regional Committee on Health Research Ethics (SJ-677). Intervention nurses do not assume clinical responsibility for the participants and the intervention is an addition to the general healthcare services. The intervention is complex due to challenging skills and behaviors required by nurses, individual tailoring of the intervention, and interacting intervention components. The study therefore includes process evaluation. The research program comprises: 1. Development initiation, 2. Intervention effect, 3. Cost-effectiveness, 4. Organizational implementation, and 5. Participants' experiences. Inclusion to the trial began April 9th, 2018, was completed July 1st, 2019 and follow-up will be completed February 1st, 2020.