Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
1.
Nat Commun ; 13(1): 612, 2022 02 01.
Article in English | MEDLINE | ID: mdl-35105889

ABSTRACT

We study the real-life effect of an unprecedented rapid mass vaccination campaign. Following a large outbreak of the Beta variant in the district of Schwaz/Austria, 100,000 doses of BNT162b2 (Pfizer/BioNTech) were procured to mass vaccinate the entire adult population of the district between the 11th and 16th of March 2021. This made the district the first widely inoculated region in Europe. We examine the effect of this campaign on the number of infections, cases of variants of concern, hospital and ICU admissions. We compare Schwaz with (i) a control group of highly similar districts, and (ii) with populations residing in municipalities along the border of Schwaz which were just excluded from the campaign. We find large and significant decreases for all outcomes after the campaign. Our results suggest that rapid mass vaccination is an effective tool to curb the spread of SARS-CoV-2.


Subject(s)
BNT162 Vaccine/administration & dosage , COVID-19/prevention & control , SARS-CoV-2/immunology , Adult , Austria/epidemiology , COVID-19/epidemiology , COVID-19/therapy , COVID-19/virology , Hospitalization/statistics & numerical data , Humans , Intensive Care Units/statistics & numerical data , Mass Vaccination , Middle Aged , Retrospective Studies , SARS-CoV-2/genetics
2.
Viruses ; 13(12)2021 11 30.
Article in English | MEDLINE | ID: mdl-34960670

ABSTRACT

BACKGROUND: It is a matter of debate whether diabetes alone or its associated comorbidities are responsible for severe COVID-19 outcomes. This study assessed the impact of diabetes on intensive care unit (ICU) admission and in-hospital mortality in hospitalized COVID-19 patients. METHODS: A retrospective analysis was performed on a countrywide cohort of 40,632 COVID-19 patients hospitalized between March 2020 and March 2021. Data were provided by the Austrian data platform. The association of diabetes with outcomes was assessed using unmatched and propensity-score matched (PSM) logistic regression. RESULTS: 12.2% of patients had diabetes, 14.5% were admitted to the ICU, and 16.2% died in the hospital. Unmatched logistic regression analysis showed a significant association of diabetes (odds ratio [OR]: 1.24, 95% confidence interval [CI]: 1.15-1.34, p < 0.001) with in-hospital mortality, whereas PSM analysis showed no significant association of diabetes with in-hospital mortality (OR: 1.08, 95%CI: 0.97-1.19, p = 0.146). Diabetes was associated with higher odds of ICU admissions in both unmatched (OR: 1.36, 95%CI: 1.25-1.47, p < 0.001) and PSM analysis (OR: 1.15, 95%CI: 1.04-1.28, p = 0.009). CONCLUSIONS: People with diabetes were more likely to be admitted to ICU compared to those without diabetes. However, advanced age and comorbidities rather than diabetes itself were associated with increased in-hospital mortality in COVID-19 patients.


Subject(s)
COVID-19/mortality , Comorbidity , Diabetes Mellitus/epidemiology , Hospital Mortality , Public Health , Adult , Aged , Aged, 80 and over , Austria/epidemiology , Cohort Studies , Female , Hospitalization , Humans , Intensive Care Units , Male , Middle Aged , Odds Ratio , Propensity Score , Retrospective Studies , Risk Factors , SARS-CoV-2 , Young Adult
3.
J Health Econ ; 43: 56-73, 2015 Sep.
Article in English | MEDLINE | ID: mdl-26184383

ABSTRACT

We analyzed the impact of social networks on general practitioners' (GPs) referral behavior based on administrative panel data from 2,684,273 referrals to specialists made between 1998 and 2007. For the definition of social networks, we used information on the doctors' place and time of study and their hospital work history. We found that GPs referred more patients to specialists within their personal networks and that patients referred within a social network had fewer follow-up consultations and less inpatient days thereafter. The effects on patient outcomes (e.g. waiting periods, days in hospital) of referrals within personal networks and affinity-based networks differed. Specifically, whereas empirical evidence showed a concentration on high-quality specialists for referrals within the personal network, suggesting that referrals within personal networks overcome information asymmetry with respect to specialists' abilities, the empirical evidence for affinity-based networks was different and less clear. Same-gender networks tended to refer patients to low-quality specialists.


Subject(s)
General Practitioners/statistics & numerical data , Practice Patterns, Physicians'/statistics & numerical data , Referral and Consultation/statistics & numerical data , Social Networking , Austria , Female , General Practitioners/standards , Humans , Insurance Claim Review/statistics & numerical data , Male , Practice Patterns, Physicians'/standards , Referral and Consultation/standards , Regression Analysis , Specialization/economics , State Medicine/economics , State Medicine/legislation & jurisprudence , Universal Health Insurance/economics , Universal Health Insurance/legislation & jurisprudence
4.
Health Econ ; 24(8): 913-35, 2015 Aug.
Article in English | MEDLINE | ID: mdl-25044494

ABSTRACT

Using a matched insurant-general practitioner panel data set, we estimate the effect of a general health-screening program on individuals' health status and health-care cost. To account for selection into treatment, we use regional variation in the intensity of exposure to supply-determined screening recommendations as an instrumental variable. We find that screening participation increases inpatient and outpatient health-care costs up to 2 years after treatment substantially. In the medium run, we find cost savings in the outpatient sector, whereas in the long run, no statistically significant effects of screening on either health-care cost component can be discerned. In sum, screening participation increases health-care cost. Given that we do not find any statistically significant effect of screening participation on insurants' health status (at any point in time), we do not recommend a general health-screening program. However, given that we find some evidence for cost-saving potential for the sub-sample of younger insurants, we suggest more targeted screening programs.


Subject(s)
Health Expenditures/statistics & numerical data , Health Status , Mass Screening/economics , Adult , Aged , Cost-Benefit Analysis , Female , Humans , Inpatients , Insurance Claim Review/statistics & numerical data , Male , Middle Aged , Models, Econometric , Outpatients , State Medicine
5.
Eur J Health Econ ; 15(3): 229-42, 2014 Apr.
Article in English | MEDLINE | ID: mdl-23546738

ABSTRACT

OBJECTIVES: The aim of this paper is to analyze the impact of low birth weight (LBW) and very low birth weight (VLBW) on health care utilization in childhood and early adolescence. DATA/METHODS: Using Austrian health insurance administrative panel data linked to the Austrian birth register, we estimate the effects of LBW and VLBW in comparison to normal birth weight (NBW) on the number of days spent in the hospital and on expenditures for medical assistance and medical drugs among children and young adults between birth and 21 years of age. To account for the time-invariant heterogeneity of mothers, we control for sibling fixed effects. RESULTS: We find that, in comparison to their NBW counterparts, LBW infants spend more days hospitalized and more is spent on medical drugs (particularly on anti-infectives) for them in their first year of life. Although the absolute differences in health service utilization between NBW and LBW groups diminish over time, LBW newborns still spend more days hospitalized, and their medical drug and medical assistance expenses are significantly higher in early childhood. During compulsory schooling, we observe a shift toward diseases of the nervous system and mental and behavioral disorders among children born with LBW. Some of these effects persist until early adulthood. CONCLUSIONS: We argue for further counseling efforts for expectant mothers on the determinants and risk factors of LBW. Moreover, pre-school screenings especially tailored to LBW infants with a particular focus on mental health and behavioral disorders can be easily integrated in the existing postnatal mother-child care program in Austria to mitigate the consequences of negative conditions during pregnancy.


Subject(s)
Health Expenditures/statistics & numerical data , Health Services/economics , Health Services/statistics & numerical data , Infant, Low Birth Weight , Maternal Health Services/organization & administration , Adolescent , Age Factors , Austria , Child , Child, Preschool , Humans , Infant , Infant, Newborn , Infant, Very Low Birth Weight , Length of Stay/statistics & numerical data , Medical Assistance/statistics & numerical data , Risk Factors , Time Factors , Young Adult
SELECTION OF CITATIONS
SEARCH DETAIL
...