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  1. Artikel ; Online: What services should be guaranteed in universal health-care systems?

    Adja, Kadjo Yves Cedric / Golinelli, Davide

    Journal of primary health care

    2020  Band 12, Heft 3, Seite(n) 193–194

    Abstract: COVID-19 pandemic highlighted the importance of public, universal and equal access health-care, and reminded us that challenges are always incumbent for health-care systems. Because accessible and universal health-care systems will be critical into the ... ...

    Abstract COVID-19 pandemic highlighted the importance of public, universal and equal access health-care, and reminded us that challenges are always incumbent for health-care systems. Because accessible and universal health-care systems will be critical into the future, it will be crucial to earmark adequate resources, fostering the financing of sectors that for many years have been neglected such as primary care and public health, and investments in new models of care and in health-related workforce.
    Mesh-Begriff(e) Betacoronavirus ; COVID-19 ; Climate Change ; Coronavirus Infections/epidemiology ; Health Services Accessibility/organization & administration ; Humans ; Italy/epidemiology ; Models, Organizational ; Pandemics ; Pneumonia, Viral/epidemiology ; Primary Health Care/organization & administration ; SARS-CoV-2 ; Universal Health Insurance/organization & administration
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-09-29
    Erscheinungsland Australia
    Dokumenttyp Journal Article
    ISSN 1172-6156
    ISSN (online) 1172-6156
    DOI 10.1071/HC20084
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: What services should be guaranteed in universal health-care systems?

    Adja, Kadjo Yves Cedric / Golinelli, Davide

    J Prim Health Care

    Abstract: COVID-19 pandemic highlighted the importance of public, universal and equal access health-care, and reminded us that challenges are always incumbent for health-care systems. Because accessible and universal health-care systems will be critical into the ... ...

    Abstract COVID-19 pandemic highlighted the importance of public, universal and equal access health-care, and reminded us that challenges are always incumbent for health-care systems. Because accessible and universal health-care systems will be critical into the future, it will be crucial to earmark adequate resources, fostering the financing of sectors that for many years have been neglected such as primary care and public health, and investments in new models of care and in health-related workforce.
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #786761
    Datenquelle COVID19

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  3. Artikel ; Online: Comment on: "The Italian NHS: What Lessons to Draw from COVID-19?"

    Golinelli, Davide / Bucci, Andrea / Adja, Kadjo Yves Cedric / Toscano, Fabrizio

    Applied health economics and health policy

    2020  Band 18, Heft 5, Seite(n) 739–741

    Mesh-Begriff(e) Betacoronavirus ; COVID-19 ; Coronavirus Infections ; Humans ; Italy ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2 ; State Medicine
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-08-24
    Erscheinungsland New Zealand
    Dokumenttyp Letter ; Comment
    ZDB-ID 2171420-4
    ISSN 1179-1896 ; 1175-5652
    ISSN (online) 1179-1896
    ISSN 1175-5652
    DOI 10.1007/s40258-020-00608-2
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Small-scale spatial distribution of COVID-19-related excess mortality

    Gibertoni, Dino / Sanmarchi, Francesco / Adja, Kadjo Yves Cedric / Golinelli, Davide / Reno, Chiara / Regazzi, Luca / Lenzi, Jacopo

    MethodsX. 2021, v. 8 p.101257-

    2021  

    Abstract: Mortality due to massive events like the COVID-19 pandemic is underestimated because of several reasons, among which the impossibility to track all positive cases and the inadequacy of coding systems are presumably the most relevant. Therefore, the most ... ...

    Abstract Mortality due to massive events like the COVID-19 pandemic is underestimated because of several reasons, among which the impossibility to track all positive cases and the inadequacy of coding systems are presumably the most relevant. Therefore, the most affordable method to estimate COVID-19-related mortality is excess mortality (EM). Very often, though, EM is calculated on large spatial units that may entail different EM patterns and without stratifying deaths by age or sex, while, especially in the case of epidemics, it is important to identify the areas that suffered a higher death toll or that were spared. We developed the Stata COVID19_EM.ado procedure that estimates EM within municipalities in six subgroups defined by sex and age class using official data provided by ISTAT (Italian National Statistics Bureau) on deaths occurred from 2015 to 2020. Using simple linear regression models, we estimated the mortality trend in each age-and-sex subgroup and obtained the expected deaths of 2020 by extrapolating the linear trend. The results are then displayed using choropleth maps. Subsequently, local autocorrelation maps, which allow to appreciate the presence of local clusters of high or low EM, may be obtained using an R procedure that we developed.•We focused on estimating excess mortality in small-scale spatial units (municipalities) and in population strata defined by age and sex.•This method gives a deeper insight on excess mortality than summary figures at regional or national level, enabling to identify the local areas that suffered the most and the high-risk population subgroups within them.•This type of analysis could be replicated on different time frames, which might correspond to successive epidemic waves, as well as to periods in which containment measures were enforced and for different age classes; moreover, it could be applied in every instance of mortality crisis within a region or a country.
    Schlagwörter COVID-19 infection ; at-risk population ; autocorrelation ; death ; mortality ; regression analysis ; Excess mortality estimation ; Excess mortality ; Municipalities ; COVID-19 diffusion ; Spatial analysis
    Sprache Englisch
    Erscheinungsort Elsevier B.V.
    Dokumenttyp Artikel ; Online
    ZDB-ID 2830212-6
    ISSN 2215-0161
    ISSN 2215-0161
    DOI 10.1016/j.mex.2021.101257
    Datenquelle NAL Katalog (AGRICOLA)

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  5. Artikel ; Online: Comment on

    Golinelli, Davide / Bucci, Andrea / Adja, Kadjo Yves Cedric / Toscano, Fabrizio

    “The Italian NHS: What Lessons to Draw from COVID-19?”

    2020  

    Schlagwörter Italy ; NHS ; Covid-19 ; covid19
    Sprache Englisch
    Erscheinungsland it
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Comment on

    Golinelli, Davide / Bucci, Andrea / Adja, Kadjo Yves Cedric / Toscano, Fabrizio

    Applied Health Economics and Health Policy

    “The Italian NHS: What Lessons to Draw from COVID-19?”

    2020  Band 18, Heft 5, Seite(n) 739–741

    Schlagwörter Economics and Econometrics ; Health Policy ; General Medicine ; covid19
    Sprache Englisch
    Verlag Springer Science and Business Media LLC
    Erscheinungsland us
    Dokumenttyp Artikel ; Online
    ZDB-ID 2171420-4
    ISSN 1179-1896 ; 1175-5652
    ISSN (online) 1179-1896
    ISSN 1175-5652
    DOI 10.1007/s40258-020-00608-2
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel: Small-scale spatial distribution of COVID-19-related excess mortality.

    Gibertoni, Dino / Sanmarchi, Francesco / Adja, Kadjo Yves Cedric / Golinelli, Davide / Reno, Chiara / Regazzi, Luca / Lenzi, Jacopo

    MethodsX

    2021  Band 8, Seite(n) 101257

    Abstract: Mortality due to massive events like the COVID-19 pandemic is underestimated because of several reasons, among which the impossibility to track all positive cases and the inadequacy of coding systems are presumably the most relevant. Therefore, the most ... ...

    Abstract Mortality due to massive events like the COVID-19 pandemic is underestimated because of several reasons, among which the impossibility to track all positive cases and the inadequacy of coding systems are presumably the most relevant. Therefore, the most affordable method to estimate COVID-19-related mortality is excess mortality (EM). Very often, though, EM is calculated on large spatial units that may entail different EM patterns and without stratifying deaths by age or sex, while, especially in the case of epidemics, it is important to identify the areas that suffered a higher death toll or that were spared. We developed the Stata COVID19_EM.ado procedure that estimates EM within municipalities in six subgroups defined by sex and age class using official data provided by ISTAT (Italian National Statistics Bureau) on deaths occurred from 2015 to 2020. Using simple linear regression models, we estimated the mortality trend in each age-and-sex subgroup and obtained the expected deaths of 2020 by extrapolating the linear trend. The results are then displayed using choropleth maps. Subsequently, local autocorrelation maps, which allow to appreciate the presence of local clusters of high or low EM, may be obtained using an R procedure that we developed.•We focused on estimating excess mortality in small-scale spatial units (municipalities) and in population strata defined by age and sex.•This method gives a deeper insight on excess mortality than summary figures at regional or national level, enabling to identify the local areas that suffered the most and the high-risk population subgroups within them.•This type of analysis could be replicated on different time frames, which might correspond to successive epidemic waves, as well as to periods in which containment measures were enforced and for different age classes; moreover, it could be applied in every instance of mortality crisis within a region or a country.
    Sprache Englisch
    Erscheinungsdatum 2021-02-03
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article
    ISSN 2215-0161
    ISSN 2215-0161
    DOI 10.1016/j.mex.2021.101257
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel: The Contribution of Case Mix, Skill Mix and Care Processes to the Outcomes of Community Hospitals: A Population-Based Observational Study.

    Pianori, Davide / Adja, Kadjo Yves Cedric / Lenzi, Jacopo / Pieri, Giulia / Rossi, Andrea / Reno, Chiara / Fantini, Maria Pia

    International journal of integrated care

    2021  Band 21, Heft 2, Seite(n) 25

    Abstract: Introduction: Community hospitals (CHs) could address the emerging complex care needs of patients. We investigated which characteristics of patients' and CHs affect patient outcomes, in order to identify who could benefit the most from CH care and the ... ...

    Abstract Introduction: Community hospitals (CHs) could address the emerging complex care needs of patients. We investigated which characteristics of patients' and CHs affect patient outcomes, in order to identify who could benefit the most from CH care and the best skill mix to deliver this care.
    Methods: We analysed all elderly patients discharged from the CHs of Emilia-Romagna, Italy. CH skill mix and care processes were collected with an ad hoc survey. The primary outcome was improvement in the Barthel index (BI) on discharge. Hierarchical regression analysis was performed to test the associations under study.
    Results: 53% of the patients had a BI improvement ≥10. After adjusting for the diverse case mix of the patients, no significant association was found between CH characteristics and BI improvement. Patient characteristics explained only a portion of the variability in CH performance.
    Discussion: Heterogeneity in case mix reflects the nature of CHs, which play context-specific roles as integrators between primary care services and hospitals. Residual variability in BI improvement rates across CHs might be attributed to aspects of care not detected in our survey.
    Conclusions: More research is needed to study the impact of CH skill mix and care processes on patient outcomes.
    Sprache Englisch
    Erscheinungsdatum 2021-06-21
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2119289-3
    ISSN 1568-4156
    ISSN 1568-4156
    DOI 10.5334/ijic.5566
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel ; Online: Patterns of COVID-19 related excess mortality in the municipalities of Northern Italy during the first wave of the pandemic.

    Gibertoni, Dino / Adja, Kadjo Yves Cedric / Golinelli, Davide / Reno, Chiara / Regazzi, Luca / Lenzi, Jacopo / Sanmarchi, Francesco / Fantini, Maria Pia

    Health & place

    2021  Band 67, Seite(n) 102508

    Abstract: The impact of Coronavirus Disease 2019 (COVID-19) on mortality in Italy has been described at the regional level, while less is known about mortality in municipalities, although the spatial distribution of COVID-19 in its first wave has been uneven. We ... ...

    Abstract The impact of Coronavirus Disease 2019 (COVID-19) on mortality in Italy has been described at the regional level, while less is known about mortality in municipalities, although the spatial distribution of COVID-19 in its first wave has been uneven. We aimed to describe the excess mortality due to COVID-19 from February 23rd to April 30th, 2020 in the three most affected Italian regions, in age and gender subgroups within each municipality. Excess mortality varied widely among municipalities even within the same region; it was higher among the elderly and higher in males except in the ≥75 age group. Thus, nearby municipalities may show a different mortality burden despite being under common regional health policies, possibly as a result of local reinforcements of regional policies. Identifying the municipalities where mortality was higher and the pathways used by the virus to spread may help to concentrate efforts in understanding the reasons why this happened and to identify the frailest areas in light of recurrences of the epidemic.
    Mesh-Begriff(e) Adolescent ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; COVID-19/epidemiology ; COVID-19/mortality ; Child ; Child, Preschool ; Cities ; Female ; Humans ; Infant ; Infant, Newborn ; Italy/epidemiology ; Male ; Middle Aged ; Mortality/trends ; Sex Factors ; Spatial Analysis ; Young Adult
    Sprache Englisch
    Erscheinungsdatum 2021-01-11
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 1262540-1
    ISSN 1873-2054 ; 1353-8292
    ISSN (online) 1873-2054
    ISSN 1353-8292
    DOI 10.1016/j.healthplace.2021.102508
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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