Using early childhood infections to predict late childhood antibiotic consumption: a prospective cohort study.

BACKGROUND: In the Swedish welfare system, the prescription and price of antibiotics is regulated. Even so, socioeconomic circumstances might affect the consumption of antibiotics for children. AIM: This study aimed to investigate if socioeconomic differences in antibiotic prescriptions could be found for children aged 2-14 years, and to find predictors of antibiotic consumption in children, especially if morbidity or socioeconomic status in childhood may function as predictors. DESIGN & SETTING: Participants were from All Babies In Southeast Sweden (ABIS), a prospectively followed birth cohort (N = 17 055), born 1997-1999. Pharmaceutical data for a 10-year period, from 2005-2014 were used (the cohort were aged from 5-7, up to 14-16 years). Participation at the 5-year follow-up was 7443 children. All prescriptions from inpatient, outpatient, and primary care were included. National registries and parent reports were used to define socioeconomic data for all participants. Most children's infections were treated in primary healthcare centres. METHOD: Parents of included children completed questionnaires about child morbidity at birth and at intervals up to 12 years. Their answers, combined with public records and national registries, were entered into the ABIS database and analysed. The primary outcome measure was the number of antibiotic prescriptions for each participant during a follow-up period between 2005-2014. RESULTS: The most important predictor for antibiotic prescription in later childhood was parent-reported number of antibiotic-treated infections at age 2-5 years (odds ratio (OR) range 1.21 to 2.23, depending on income quintile; P<0.001). In the multivariate analysis, lower income and lower paternal education level were also significantly related to higher antibiotic prescription. CONCLUSION: Parent-reported antibiotic-treated infection at age 2-5 years predicted antibiotic consumption in later childhood. Swedish doctors are supposed to treat all patients individually and to follow official guidelines regarding antibiotics, to avoid antibiotics resistance. As socioeconomic factors are found to play a role, awareness is important to get unbiased treatment of all children.

Influenza-related healthcare visits, hospital admissions, and direct medical costs for all children aged 2 to 17 years in a defined Swedish region, monitored for 7 years.

BACKGROUND: The seasonal variation of influenza and influenza-like illness (ILI) is well known. However, studies assessing the factual direct costs of ILI for an entire population are rare. METHODS: In this register study, we analyzed the seasonal variation of ILI-related healthcare visits and hospital admissions for children aged 2 to 17 years, and the resultant parental absence from work, for the period 2005 to 2012. The study population comprised an open cohort of about 78,000 children per year from a defined region. ILI was defined as ICD-10 codes: J00-J06; J09-J15, J20; H65-H67. RESULTS: Overall, the odds of visiting a primary care center for an ILI was 1.64-times higher during the peak influenza season, compared to the preinfluenza season. The corresponding OR among children aged 2 to 4 years was 1.96. On average, an estimated 20% of all healthcare visits for children aged 2 to 17 years, and 10% of the total healthcare costs, were attributable to seasonal ILI. In primary care, the costs per week and 10,000 person years for ILI varied - by season - from &OV0556;3500 to &OV0556;7400. The total ILI cost per year, including all physical healthcare forms, was &OV0556;400,400 per 10,000 children aged 2 to 17 years. The costs for prescribed and purchased drugs related to ILI symptoms constituted 52% of all medicine costs, and added 5.8% to the direct healthcare costs.The use of temporary parental employment benefits for caring of ill child followed the seasonal pattern of ILI (r = 0.91, P < 0.001). Parental absence from work was estimated to generate indirect costs, through loss of productivity of 5.2 to 6.2 times the direct costs. CONCLUSIONS: Direct healthcare costs increased significantly during the influenza season for children aged 2 to 17 years, both in primary and hospital outpatient care, but not in hospital inpatient care. Primary care manages the majority of visits for influenza and ILI. Children 2 to 4 years have a larger portion of their total healthcare encounters related to ILI compared with older children. There is a clear correlation between ILI visits across the years and parental absence from work.

Improvement of quality and safety in health care as a new interprofessional learning module - evaluation from students.

BACKGROUND: Interprofessional teamwork is in many ways a norm in modern health care, and needs to be taught during professional education. DESCRIPTION: This study is an evaluation of a newly introduced and mandatory learning module where students from different health profession programs used Improvement of Quality and Safety as a way to develop interprofessional competence in a real-life setting. The intention of this learning module was to integrate interprofessional teamwork within the students' basic education, and to give students a basic knowledge about Improvement of Quality and Safety. This report focuses on evaluations from the participating students (n=222), mainly medical and nursing students. MATERIALS AND METHODS: To evaluate this new learning module, a questionnaire was developed and analyzed using a mixed methods design, integrating both qualitative and quantitative methods. The evaluation addressed learning concepts, learning objectives, and interprofessional and professional development. RESULTS AND CONCLUSION: A majority of students responded positively to the learning module as a whole, but many were negative towards specific parts of the learning module and its implementation. Medical students and male students were less positive towards this learning module. Improvements and alterations were suggested.

Exploring factors that affect hospital referral in rural settings: a case study from Norway.

INTRODUCTION: A patient's needs and the seriousness of the disease are not the only factors that determine referral to hospital. The objective of this study was to analyse whether locum doctors (LDs) have a different pattern of referral to hospital from regular GPs (RGPs). METHODS: All hospital referrals for one year (n = 5566 patients) from two Norwegian rural primary health care (PHC) centres to the nearby district hospital were analysed with regard to ICD-10 diagnosis groups. A major difference between the PHCs was that one had a continuous supply of LDs while the other had a stable group of RGPs. The equal-sized communities were demographically and socio-culturally similar. RESULTS: The PHC centre mainly operated by short-term LDs referred a relatively high number of patients to the district hospital within the diagnosis groups of chapter VI 'Diseases of the nervous system' (proportionate referral rate 210%; p = 0.010), and chapter IX 'Diseases of the circulatory system' (proportionate referral rate 130%; p = 0.048), and a comparatively low number of patients for the diagnostic groups in chapter X 'Diseases of the respiratory system' (p = 0.018), and chapter XIV 'Diseases of the genitourinary system' (p = 0.039), compared with the norm of the district hospital's total population. The number and proportion of the total number of referrals, adjusted for population size, did not differ between the two rural communities. The LD-run PHC centre differed significantly from the total norm in 5 out of 19 ICD chapters, equal to 41% of the patients. CONCLUSIONS: Only one significant difference in hospital referrals related to ICD-diagnoses groups were found between the studied rural PHC centres, but the LD-run PHC differed from the total norm. These differences could neither be explained from the district's consumption of somatic hospital care nor the demographical differences, but were related to staffing at the PHC, that is LDs or RGPs. The analysis also revealed that possible under- and/or over-diagnosing of certain diseases occurred, both having potential medical consequences for the patient, as well as increasing healthcare expenditure.