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      The match between need and use of health services among healthy under-fives in Denmark: A register-based national cohort study

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          Abstract

          Objectives

          To study a potential positive association (referred to as ‘a match’) between the need for health service (expressed by a mortality risk score) and observed health service utilisation among healthy Danish under-fives. Further, municipal differences in the match were examined to motivate focused comparisons between the organisation of regional health services.

          Design

          Register-based national cohort study.

          Participants

          The population of 1,246,599 Danish children born 1997–2016 who survived until date of first discharge to the home after birth without a diagnosis of severe chronic disease.

          Main outcome measures

          Hazard ratios (HR) for a doubling of the mortality rate were calculated for the following health services: total contacts, inpatient contacts (admission > 1 day), outpatient contacts, general practitioner contacts, specialist contacts, medication use, and vaccinations.

          Results

          The use of total contacts, inpatient contacts (> 1 day) and general practitioner contacts as well as medication matched with the mortality risk score, HRs between 1.027 (1.026 to 1.028) and 1.111 (1.108 to 1.113), whereas outpatient and specialist contacts as well as vaccinations did not, HRs between 0.913 (0.912 to 0.915) and 0.991 (0.991 to 0.991). There were some remarkable differences among the 98 Danish municipalities.

          Conclusions

          We found some match between need and use for total contacts, inpatient contacts (> 1 day), contacts with general practitioner, and medication use although the associations were relatively weak. For outpatient and specialist contacts, the mismatch may be related to services not addressing potentially fatal disease whereas for vaccination there was a small mismatch. Our results indicate local discrepancies in diagnosis, and a low adjusted utilisation of hospital admissions in Aarhus compared to the other three major cities in Denmark suggests that a comparison of the organisation of services could be useful.

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          Most cited references16

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          Global, regional, and national levels and trends in under-5 mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation.

          In 2000, world leaders agreed on the Millennium Development Goals (MDGs). MDG 4 called for a two-thirds reduction in the under-5 mortality rate between 1990 and 2015. We aimed to estimate levels and trends in under-5 mortality for 195 countries from 1990 to 2015 to assess MDG 4 achievement and then intended to project how various post-2015 targets and observed rates of change will affect the burden of under-5 deaths from 2016 to 2030.
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            Frequency and impact of confounding by indication and healthy vaccinee bias in observational studies assessing influenza vaccine effectiveness: a systematic review

            Background Evidence on influenza vaccine effectiveness (VE) is commonly derived from observational studies. However, these studies are prone to confounding by indication and healthy vaccinee bias. We aimed to systematically investigate these two forms of confounding/bias. Methods Systematic review of observational studies reporting influenza VE and indicators for bias and confounding. We assessed risk of confounding by indication and healthy vaccinee bias for each study and calculated ratios of odds ratios (crude/adjusted) to quantify the effect of confounder adjustment. VE-estimates during and outside influenza seasons were compared to assess residual confounding by healthy vaccinee effects. Results We identified 23 studies reporting on 11 outcomes. Of these, 19 (83 %) showed high risk of bias: Fourteen due to confounding by indication, two for healthy vaccinee bias, and three studies showed both forms of confounding/bias. Adjustment for confounders increased VE on average by 12 % (95 % CI: 7–17 %; all-cause mortality), 9 % (95 % CI: 4–14 %; all-cause hospitalization) and 7 % (95 % CI: 4–10 %; influenza-like illness). Despite adjustment, nine studies showed residual confounding as indicated by significant off-season VE-estimates. These were observed for five outcomes, but more frequently for all-cause mortality as compared to other outcomes (p = 0.03) and in studies which indicated healthy vaccinee bias at baseline (p = 0.01). Conclusions Both confounding by indication and healthy vaccinee bias are likely to operate simultaneously in observational studies on influenza VE. Although adjustment can correct for confounding by indication to some extent, the resulting estimates are still prone to healthy vaccinee bias, at least as long as unspecific outcomes like all-cause mortality are used. Therefore, cohort studies using administrative data bases with unspecific outcomes should no longer be used to measure the effects of influenza vaccination. Electronic supplementary material The online version of this article (doi:10.1186/s12879-015-1154-y) contains supplementary material, which is available to authorized users.
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              Chronic diseases, chromosomal abnormalities, and congenital malformations as risk factors for respiratory syncytial virus hospitalization: a population-based cohort study.

              Little is known about how chronic conditions other than prematurity, heart disease, and Down syndrome affect the risk and severity of hospitalization for respiratory syncytial virus (RSV). We assess the risk and severity of RSV hospitalization in children with chronic conditions in this register-based, population-based cohort study. Data on RSV tests, maternal smoking, siblings, single parenthood, mode of delivery, gestational age at birth, major surgery, asthma diagnosis, chronic conditions, and hospitalization and discharge dates were obtained from the Danish RSV database, the National Patient and Birth Registries, and the Civil Registration System. Cox regression models were used to estimate incidence rate ratios (IRRs) for RSV hospitalization between groups stratified by sex and date of birth. Duration of RSV hospitalization was analyzed in a linear regression and reported as geometric mean ratios. A total of 391 983 children aged 0-23 months were included in the analysis. A total of 10,616 (2.7%) had a diagnosis for chronic disease. IRRs (95% confidence intervals) for RSV hospitalization in children with any congenital or acquired chronic condition were 2.18 (2.01-2.36) and 2.25 (1.94-2.61), respectively. Several new risk factors for RSV hospitalization, including malformations, interstitial lung disease, neuromuscular disease, liver disease, chromosomal abnormalities, congenital immunodeficiencies, and inborn errors of metabolism, were identified. Duration of RSV hospitalization was increased in many chronic conditions. Chronic disease per se is an important risk factor for RSV hospitalization.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                16 April 2020
                2020
                : 15
                : 4
                : e0231776
                Affiliations
                [1 ] Department of Paediatrics and Adolescent Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
                [2 ] Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
                [3 ] Section of General Practice and Research Unit for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
                [4 ] Department of Neonatology, Rigshospitalet, Copenhagen University Hospital and the University of Copenhagen, Denmark
                Federal University of Sergipe, BRAZIL
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-4302-2982
                Article
                PONE-D-19-31980
                10.1371/journal.pone.0231776
                7161958
                32298365
                b53f536c-5b0c-402b-a97c-4c684bf1bfe9
                © 2020 Jensen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 November 2019
                : 31 March 2020
                Page count
                Figures: 3, Tables: 4, Pages: 12
                Funding
                Funded by: Lundbeckfonden (DK)
                Award ID: R208-2015-3384
                Award Recipient :
                AJ R208-2015-3384 The Lundbeck Foundation www.lundbeckfonden.com The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Health Care
                Patients
                Inpatients
                Biology and Life Sciences
                Immunology
                Vaccination and Immunization
                Medicine and Health Sciences
                Immunology
                Vaccination and Immunization
                Medicine and Health Sciences
                Public and Occupational Health
                Preventive Medicine
                Vaccination and Immunization
                People and Places
                Population Groupings
                Ethnicities
                European People
                Danish People
                Medicine and Health Sciences
                Pediatrics
                Child Health
                Medicine and Health Sciences
                Public and Occupational Health
                Child Health
                Medicine and Health Sciences
                Health Care
                Patients
                Outpatients
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Medical Doctors
                Physicians
                General Practitioners
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Medical Doctors
                Physicians
                General Practitioners
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Custom metadata
                Due to Danish law restrictions and the protection of patient privacy, the data as used in the present study can only be accessed through a trusted third party, Statistics Denmark, the organisation holding the rights to the data used in the study. Danish scientific organisations can be authorised to work with data within Statistics Denmark and thus provide access to individual scientists inside and outside of Denmark. Data are available via Statistics Denmark ( https://www.dst.dk/da/TilSalg/Forskningsservice/Dataadgang) for researchers who meet the criteria for data access. The authors of this study had no special access privileges others would not have.

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