COVID-19 vaccination rates among adolescents (12-17 years) by immigrant background and sociodemographic factors: A nationwide registry study in Norway.

PURPOSE: Lower COVID-19 vaccination rates have been observed among some adult immigrant populations in Norway, and there appears to be an association with sociodemographic factors. However, knowledge is lacking on the distribution of vaccination rates and role of sociodemographic factors among adolescents. This study aims to describe COVID-19 vaccination rates among adolescents according to immigrant background, household income, and parental education. METHODS: In this nationwide registry study, we analyzed individual-level data on adolescents (12-17 years) from the Norwegian Emergency preparedness register for COVID-19 until September 15th, 2022. We estimated incidence rate ratios (IRR) for receiving at least one COVID-19 vaccine dose by country background, household income and parental education, using Poisson regression, adjusting for age, sex, and county. RESULTS: The sample comprised 384,815 adolescents. Foreign-born and Norwegian-born with foreign-born parents, had lower vaccination rates (57 % and 58 %) compared to adolescents with at least one Norwegian-born parent (84 %). Vaccination rates by country background varied from 88 % (Vietnam) to 31 % (Russia). Variation and associations by country background, household income, and parental education were greater among 12-15-year-olds than 16-17-year-olds. Household income and parental education were positively associated with vaccination. Compared to the lowest income and education category, IRRs for household income ranged from 1.07 (95 % CI 1.06-1.09) to 1.31 (95 % CI 1.29-1.33) among 12-15-year-olds, and 1.06 (95 % CI 1.04-1.07) to 1.17 (95 % CI 1.15-1.18) among 16-17-year-olds. For parental education, from IRR 1.08 (95 % CI 1.06-1.09) to 1.18 (95 % CI 1.17-1.20) among 12-15-year-olds, and 1.05 (95 % CI 1.04-1.07) to 1.09 (95 % CI 1.07-1.10) among 16-17-year-olds. CONCLUSION: COVID-19 vaccination rates varied by immigrant background and age group, with lower rates especially among adolescents with background from Eastern Europe and among younger adolescents. Household income and parental education were positively associated with vaccination rates. Our results may help target measures to increase vaccination rates among adolescents.

Obesity diagnoses in children and adolescents in Norway by immigrant background.

AIM: Relatively few obese children and adolescents receive specialist treatment. Our aim was to assess associations between risk of receiving an obesity diagnosis in secondary/tertiary health services by socio-economic position and immigrant background in order ultimately to improve equity in health services. METHODS: The study population comprised Norwegian-born children aged 2-18 years between 2008 and 2018 (N=1,414,623), identified via the Medical Birth Registry. Cox regressions were used to calculate hazard ratios (HR) of an obesity diagnosis from secondary/tertiary health services (Norwegian Patient Registry) by parental education and household income and by immigrant background. RESULTS: Higher parental education and household income were associated with a lower hazard of obesity diagnosis regardless of Norwegian versus immigrant background. Compared to having a Norwegian background, having a Latin American (HR=4.12; 95% confidence interval (CI) 3.18-5.34), African (HR=1.54; 95% CI 1.34-1.76) and Asian (HR=1.60; 95% CI 1.48-1.74) background was associated with higher hazard of obesity diagnosis. Adjusted for parental education and household income, corresponding HRs were 3.28 (95% CI 2.95-3.65) for Latin America, 0.95 (95% CI 0.90-1.01) for Africa and 1.08 (95% CI 1.04-1.11) for Asia. Within Asia, those with a background from Pakistan, Turkey, Iraq and Iran had higher hazards than those with a Norwegian background, while those with a background from Vietnam had lower hazards, even after adjusting for parental education and household income. CONCLUSIONS: To ensure more equitable treatment, more knowledge is warranted about health-service access and referral patterns, and underlying population prevalence rates, for obese children and adolescents with different immigrant backgrounds.

Coverage of primary and booster vaccination against COVID-19 by socioeconomic level: A nationwide cross-sectional registry study.

High and equitable COVID-19 vaccination coverage is important for pandemic control and prevention of health inequity. However, little is known about socioeconomic correlates of booster vaccination coverage. In this cross-sectional study of all Norwegian adults in the national vaccination program (N = 4,190,655), we use individual-level registry data to examine coverage by levels of household income and education of primary (≥2 doses) and booster (≥3 doses) vaccination against COVID-19. We stratify the analyses by age groups with different booster recommendations and report relative risk ratios (RR) for vaccination by 25 August 2022. In the 18-44 y group, individuals with highest vs. lowest education had 94% vs. 79% primary coverage (adjusted RR (adjRR) 1.15, 95%CI 1.14-1.15) and 67% vs. 38% booster coverage (adjRR 1.55, 95% CI 1.55-1.56), while individuals with highest vs. lowest income had 94% vs. 81% primary coverage (adjRR 1.10, 95%CI 1.10-1.10) and 60% vs. 43% booster coverage (adjRR 1.23, 95%CI 1.22-1.24). In the ≥45 y group, individuals with highest vs. lowest education had 96% vs. 92% primary coverage (adjRR 1.02, 95%CI 1.02-1.02) and 88% vs. 80% booster coverage (adjRR 1.09, 95%CI 1.09-1.09), while individuals with highest vs. lowest income had 98% vs. 82% primary coverage (adjRR 1.16, 95%CI 1.16-1.16) and 92% vs. 64% booster coverage (adjRR 1.33, 95%CI 1.33-1.34). In conclusion, we document large socioeconomic inequalities in COVID-19 vaccination coverage, especially for booster vaccination, even though all vaccination was free-of-charge. The results highlight the need to tailor information and to target underserved groups for booster vaccination.

Variation in disease in children according to immigrant background.

BACKGROUND: A growing proportion of children born in Europe are born to immigrant parents. Knowledge about their health is essential for preventive and curative medicine and health services planning. OBJECTIVE: To investigate differences in diagnoses given in secondary and tertiary healthcare between Norwegian-born children to immigrant and non-immigrant parents. METHODS: Data from the Medical Birth Registry of Norway, the Norwegian Patient Registry and Statistics Norway were linked by the national personal identification number. The study population included children born in Norway aged 0-10 years between 2008 and 2018 (N=1,015,267). Diagnostic categories from three main domains of physical health, given in secondary or tertiary care; infections, non-infectious medical conditions and non-infectious neurological conditions were included from 2008 onwards. Hazards of diagnoses by immigrant background were assessed by Cox regressions adjusted for sex and birth year. RESULTS: Children of immigrants generally had higher hazards than children with Norwegian background of some types of infections, obesity, nutrition-related disorders, skin diseases, blood disease and genital disease. Children of immigrants from Africa also had higher hazards of cerebral palsy, cerebrovascular diseases and epilepsy. Conversely, most groups of children of immigrants had lower hazards of acute lower respiratory tract infections, infections of the musculoskeletal system, infections of the central nervous system, diseases of the circulatory system, hearing impairment, immune system disorders, chronic lower respiratory disease and headache conditions. CONCLUSIONS: Children of immigrants did not present with overall worse health than children without immigrant background, but the distribution of health problems varied between groups.

Stroke unit demand in Norway - present and future estimates.

BACKGROUND: All stroke patients should receive timely admission to a stroke unit (SU). Consequently, most patients with suspected strokes - including stroke mimics (SM) are admitted. The aim of this study was to estimate the current total demand for SU bed capacity today and give estimates for future (2020-2040) demand. METHODS: Time trend estimates for stroke incidence and time constant estimates for length of stay (LOS) were estimated from the Norwegian Patient Registry (2010-2015). Incidence and LOS models for SMs were based on data from Haukeland University Hospital (2008-2017) and Akershus University Hospital (2020), respectively. The incidence and LOS models were combined with scenarios from Statistic Norway's population predictions to estimate SU demands for each health region. A telephone survey collected data on the number of currently available SU beds. RESULTS: In 2020, 361 SU beds are available, while demand was estimated to 302. The models predict a reduction in stroke incidence, which offsets projected demographic shifts. Still, the estimated demand for 2040 rose to 316, due to an increase in SMs. A variation of this reference scenario, where stroke incidence was frozen at the 2020-level, gave a 2040-demand of 480 beds. CONCLUSIONS: While the stroke incidence is likely to continue to fall, this appears to be balanced by an increase in SMs. An important uncertainty is how long the trend of decreasing stroke incidence can be expected to continue. Since the most important uncertainty factors point toward a potential increase, which may be as large as 50%, we would recommend that the health authorities plan for a potential increase in the demand for SU bed capacity.

SARS-CoV-2 infections and hospitalisations among immigrants in Norway-significance of occupation, household crowding, education, household income and medical risk: a nationwide register study.

BACKGROUND: As in other countries, the COVID-19 pandemic has affected Norway's immigrant population disproportionately, with significantly higher infection rates and hospitalisations. The reasons for this are uncertain. METHODS: Through the national emergency preparedness register, BeredtC19, we have studied laboratory-confirmed infections with SARS-CoV-2 and related hospitalisations in the entire Norwegian population, by birth-country background for the period 15 June 2020 to 31 March 2021, excluding the first wave due to limited test capacity and restrictive test criteria. Straightforward linkage of individual-level data allowed adjustment for demographics, socioeconomic factors (occupation, household crowding, education and household income), and underlying medical risk for severe COVID-19 in regression models. RESULTS: The sample comprised 5.49 million persons, of which 0.91 million were born outside of Norway, there were 82,532 confirmed cases and 3088 hospitalisations. Confirmed infections in this period (per 100,000): foreign-born 3140, Norwegian-born with foreign-born parents 4799 and Norwegian-born with Norwegian-born parent(s) 1011. Hospitalisations (per 100,000): foreign-born 147, Norwegian-born with foreign-born parents 47 and Norwegian-born with Norwegian-born parent(s) 37. The addition of socioeconomic and medical factors to the base model (age, sex, municipality of residence) attenuated excess infection rates by 12.0% and hospitalisations by 3.8% among foreign-born, and 10.9% and 46.2%, respectively, among Norwegian-born with foreign parents, compared to Norwegian-born with Norwegian-born parent(s). CONCLUSIONS: There were large differences in infection rates and hospitalisations by country background, and these do not appear to be fully explained by socioeconomic and medical factors. Our results may have implications for health policy, including the targeting of mitigation strategies.

Out of sight, out of mind: long-term outcomes for people discharged home, to inpatient rehabilitation and to residential aged care after stroke.

PURPOSE: The aim of this study was to describe differences in long-term outcomes for patients discharged to inpatient rehabilitation facilities (IRFs) following stroke compared to patients discharged directly home or to residential aged care facilities (RACFs). MATERIALS AND METHODS: Cohort study. Data from the Australian Stroke Clinical Registry were linked to hospital admissions records and the national death index. Main outcomes: death and hospital readmissions up to 12 months post-admission, Health-related Quality of Life (HRQoL) 90-180 days post-admission. RESULTS: Of 8,555 included patients (median age 75, 55% male, 83% ischemic stroke), 4,405 (51.5%) were discharged home, 3,442 (40.2%) to IRFs, and 708 (8.3%) to RACFs.No between-group differences were observed in hazard of death between patients discharged to IRFs versus home. Fewer patients discharged to IRFs were readmitted to hospital within 90, 180 or 365-days compared to patients discharged home (adjusted subhazard ratio [aSHR]:90-days 0.54, 95%CI 0.49, 0.61; aSHR:180-days 0.74, 95%CI 0.67, 0.82; aSHR:365-days 0.85, 95%CI 0.78, 0.93). Fewer patients discharged to IRFs reported problems with mobility compared to those discharged home (adjusted OR 0.54, 95%CI 0.47, 0.63), or to RACFs (aOR 0.35, 95%CI 0.25, 0.48). Overall HRQoL between 90-180 days was worse for people discharged to IRFs versus those discharged home and better than those discharged to RACFs. CONCLUSIONS: Several long-term outcomes differed significantly for patients discharged to different settings after stroke. Patients discharged to IRFs reported some better outcomes than people discharge directly home despite having markers of more severe stroke.Implications for rehabilitationPeople with mild strokes are usually discharged directly home, people with moderate severity strokes to inpatient rehabilitation, and people with very severe strokes are usually discharged to residential aged care facilities.People discharged to inpatient rehabilitation reported fewer problems with mobility and had a reduced risk of hospital readmission in the first year post-stroke compared to people discharged directly home after stroke.The median self-reported health-related quality of life for people discharged to residential aged care equated to 'worst health state imaginable'.

The association of stroke severity with health-related quality of life in survivors of acute cerebrovascular disease and their informal caregivers during the first year post stroke: a survey study.

PURPOSE: To describe the health-related quality of life (HRQoL) of caregivers and survivors of transient ischaemic attack (TIA) and stroke during one year post discharge in comparison to age- and sex-matched population norms; and to analyse the association of initial stroke severity, measured by a routinely used stroke-specific scale, on subsequent HRQoL of caregivers and survivors. METHODS: Cohort of hospitalized patients with TIA and stroke discharged alive from a large university hospital in Norway, and their informal caregivers. Questionnaires at 3 and 12 months post discharge were filled out by caregivers (n = 320 and n = 326, respectively) and survivors (n = 368 and n = 383, respectively). Multivariable linear regression analyses tested associations between initial stroke severity (National Institutes of Health Stroke Scale, NIHSS) and HRQoL (EQ-5D-3L) in caregivers and survivors. RESULTS: Caregivers of survivors with TIA or stroke did not report lower HRQoL than matched norms. There was some evidence of an association of the NIHSS with caregiver HRQoL at 3 months only (age-sex-adjusted coefficient - 0.01, p = 0.008), however, this was attenuated after additional adjustments. Survivors with stroke, but not TIA, reported lower HRQoL than population norms at both time points. There was a negative association between higher NIHSS scores and survivors' HRQoL; fully adjusted coefficient - 0.01 at both time points (p = 0.001). CONCLUSION: The informal caregivers and survivors with TIA did not report lower than expected HRQoL. Increasing stroke severity was associated with decreasing HRQoL among survivors, but had limited predictive value among caregivers. Other factors may therefore be better indicators of 'at risk' caregivers.

Patient and service factors associated with referral and admission to inpatient rehabilitation after the acute phase of stroke in Australia and Norway.

BACKGROUND: Unequal access to inpatient rehabilitation after stroke has been reported. We sought to identify and compare patient and service factors associated with referral and admission to an inpatient rehabilitation facility (IRF) after acute hospital care for stroke in two countries with publicly-funded healthcare. METHODS: We compared two cohorts of stroke patients admitted consecutively to eight acute public hospitals in Australia in 2013-2014 (n = 553), and to one large university hospital in Norway in 2012-2013 (n = 723). Outcomes were: referral to an IRF; admission to an IRF if referred. Logistic regression models were used to identify and compare factors associated with each outcome. RESULTS: Participants were similar in both cohorts: mean age 73 years, 40-44% female, 12-13% intracerebral haemorrhage, ~ 77% mild stroke (National Institutes of Health Stroke Scale < 8). Services received during the acute admission differed (Australia vs. Norway): stroke unit treatment 82% vs. 97%, physiotherapy 93% vs. 79%, occupational therapy 83% vs. 77%, speech therapy 78% vs. 13%. Proportions referred to an IRF were: 48% (Australia) and 37% (Norway); proportions admitted: 35% (Australia) and 28% (Norway). Factors associated with referral in both countries were: moderately severe stroke, receiving stroke unit treatment or allied health assessments during the acute admission, living in the community, and independent pre-stroke mobility. Directions of associations were mostly congruent; however younger patients were more likely to be referred and admitted in Norway only. Models for admission among patients referred identified few associated factors suggesting that additional factors were important for this stage of the process. CONCLUSIONS: Similar factors were associated with referral to inpatient rehabilitation after acute stroke in both countries, despite differing service provision and access rates. Assuming it is not feasible to provide inpatient rehabilitation to all patients following stroke, the criteria for the selection of candidates need to be understood to address unwanted biases.

Stroke incidence in the young: evidence from a Norwegian register study.

INTRODUCTION: While there is a general agreement that stroke incidence among the elderly is declining in the developed world, there is a concern that it may be increasing among the young. The present study investigates this issue for the Norwegian population for the years 2010-2015. Cerebrovascular accidents (CVAs) for patients younger than 55 years were identified through the Norwegian Patient Registry and the Norwegian Cause-of-death Registry. METHODS: Negative binomial regression modelling was used to estimate temporal trends in the CVA incidence rates for the young, aged 15-54, with 10-year sub-intervals, and for children below the age of 18. The main outcomes were CVA incidence per 100,000 person-years at risk (PY), 30-day stroke mortality per 100,000 PY, and 30-day case-fatality rates. RESULTS: The analysis showed a negative and non-significant temporal trend in the CVA incidence ([Formula: see text]) as well as for 30-day mortality ([Formula: see text]) for the age group 15-54. Overall, the inclusion of an interaction for age in the bracket 45-54 suggested that any temporal decline is restricted to this age bracket. The analyses of the 10-year age brackets 15-24, 25-34, and 34-45, provided evidence neither for an increase, nor for a decrease, in incidence. Among the children, the estimated temporal coefficients were positive, but non-significant, consistent with a stationary trend. CONCLUSION: Weak statistical evidence was found for a decline in CVA incidence and for overall stroke 30-day case fatality for 15-54 year olds, but the decline was significant only for the 45-54 age band. All results considered, the study suggests a stationary or decreasing temporal trend in CVA incidence and stroke fatality for children (0-18) and young (15-54) in Norway. Even larger data sets are needed to estimate these temporal trends accurately.