Vollmer, Sebastian

[["dc.bibliographiccitation.firstpage","652"],["dc.bibliographiccitation.issue","10199"],["dc.bibliographiccitation.journal","The Lancet"],["dc.bibliographiccitation.lastpage","662"],["dc.bibliographiccitation.volume","394"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Marcus, Maja-Emilia"],["dc.contributor.author","Ebert, Cara"],["dc.contributor.author","Zhumadilov, Zhaxybay"],["dc.contributor.author","Wesseh, Chea S"],["dc.contributor.author","Tsabedze, Lindiwe"],["dc.contributor.author","Supiyev, Adil"],["dc.contributor.author","Sturua, Lela"],["dc.contributor.author","Bahendeka, Silver K"],["dc.contributor.author","Sibai, Abla M"],["dc.contributor.author","Quesnel-Crooks, Sarah"],["dc.contributor.author","Norov, Bolormaa"],["dc.contributor.author","Mwangi, Kibachio J"],["dc.contributor.author","Mwalim, Omar"],["dc.contributor.author","Wong-McClure, Roy"],["dc.contributor.author","Mayige, Mary T"],["dc.contributor.author","Martins, Joao S"],["dc.contributor.author","Lunet, Nuno"],["dc.contributor.author","Labadarios, Demetre"],["dc.contributor.author","Karki, Khem B"],["dc.contributor.author","Kagaruki, Gibson B"],["dc.contributor.author","Jorgensen, Jutta M A"],["dc.contributor.author","Hwalla, Nahla C"],["dc.contributor.author","Houinato, Dismand"],["dc.contributor.author","Houehanou, Corine"],["dc.contributor.author","Msaidié, Mohamed"],["dc.contributor.author","Guwatudde, David"],["dc.contributor.author","Gurung, Mongal S"],["dc.contributor.author","Gathecha, Gladwell"],["dc.contributor.author","Dorobantu, Maria"],["dc.contributor.author","Damasceno, Albertino"],["dc.contributor.author","Bovet, Pascal"],["dc.contributor.author","Bicaba, Brice W"],["dc.contributor.author","Aryal, Krishna K"],["dc.contributor.author","Andall-Brereton, Glennis"],["dc.contributor.author","Agoudavi, Kokou"],["dc.contributor.author","Stokes, Andrew"],["dc.contributor.author","Davies, Justine I"],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Jaacks, Lindsay M"],["dc.date.accessioned","2020-12-10T15:21:55Z"],["dc.date.available","2020-12-10T15:21:55Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/S0140-6736(19)30955-9"],["dc.identifier.issn","0140-6736"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73215"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.workinggroup","RTG 2654: Sustainable Food Systems (Related Publications)"],["dc.title","The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1·1 million adults"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e1003268"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","PLoS Medicine"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Davies, Justine I."],["dc.contributor.author","Reddiar, Sumithra Krishnamurthy"],["dc.contributor.author","Hirschhorn, Lisa R."],["dc.contributor.author","Ebert, Cara"],["dc.contributor.author","Marcus, Maja-Emilia"],["dc.contributor.author","Seiglie, Jacqueline A."],["dc.contributor.author","Zhumadilov, Zhaxybay"],["dc.contributor.author","Supiyev, Adil"],["dc.contributor.author","Sturua, Lela"],["dc.contributor.author","Silver, Bahendeka K."],["dc.contributor.author","Sibai, Abla M."],["dc.contributor.author","Quesnel-Crooks, Sarah"],["dc.contributor.author","Norov, Bolormaa"],["dc.contributor.author","Mwangi, Joseph K."],["dc.contributor.author","Omar, Omar Mwalim"],["dc.contributor.author","Wong-McClure, Roy"],["dc.contributor.author","Mayige, Mary T."],["dc.contributor.author","Martins, Joao S."],["dc.contributor.author","Lunet, Nuno"],["dc.contributor.author","Labadarios, Demetre"],["dc.contributor.author","Karki, Khem B."],["dc.contributor.author","Kagaruki, Gibson B."],["dc.contributor.author","Jorgensen, Jutta M. A."],["dc.contributor.author","Hwalla, Nahla C."],["dc.contributor.author","Houinato, Dismand"],["dc.contributor.author","Houehanou, Corine"],["dc.contributor.author","Guwatudde, David"],["dc.contributor.author","Gurung, Mongal S."],["dc.contributor.author","Bovet, Pascal"],["dc.contributor.author","Bicaba, Brice W."],["dc.contributor.author","Aryal, Krishna K."],["dc.contributor.author","Msaidié, Mohamed"],["dc.contributor.author","Andall-Brereton, Glennis"],["dc.contributor.author","Brian, Garry"],["dc.contributor.author","Stokes, Andrew"],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Jaacks, Lindsay M."],["dc.contributor.editor","Kruk, Margaret E."],["dc.date.accessioned","2021-04-14T08:31:16Z"],["dc.date.available","2021-04-14T08:31:16Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1371/journal.pmed.1003268"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83537"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1549-1676"],["dc.title","Association between country preparedness indicators and quality clinical care for cardiovascular disease risk factors in 44 lower- and middle-income countries: A multicountry analysis of survey data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e1003485"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","PLoS Medicine"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Peiris, David"],["dc.contributor.author","Ghosh, Arpita"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Jaacks, Lindsay M."],["dc.contributor.author","Theilmann, Michaela"],["dc.contributor.author","Marcus, Maja E."],["dc.contributor.author","Zhumadilov, Zhaxybay"],["dc.contributor.author","Tsabedze, Lindiwe"],["dc.contributor.author","Supiyev, Adil"],["dc.contributor.author","Silver, Bahendeka K."],["dc.contributor.author","Sibai, Abla M."],["dc.contributor.author","Norov, Bolormaa"],["dc.contributor.author","Mayige, Mary T."],["dc.contributor.author","Martins, Joao S."],["dc.contributor.author","Lunet, Nuno"],["dc.contributor.author","Labadarios, Demetre"],["dc.contributor.author","Jorgensen, Jutta M. A."],["dc.contributor.author","Houehanou, Corine"],["dc.contributor.author","Guwatudde, David"],["dc.contributor.author","Gurung, Mongal S."],["dc.contributor.author","Damasceno, Albertino"],["dc.contributor.author","Aryal, Krishna K."],["dc.contributor.author","Andall-Brereton, Glennis"],["dc.contributor.author","Agoudavi, Kokou"],["dc.contributor.author","McKenzie, Briar"],["dc.contributor.author","Webster, Jacqui"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Davies, Justine I."],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.editor","Ntsekhe, Mpiko"],["dc.date.accessioned","2021-04-14T08:28:04Z"],["dc.date.available","2021-04-14T08:28:04Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1371/journal.pmed.1003485"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82495"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1549-1676"],["dc.title","Cardiovascular disease risk profile and management practices in 45 low-income and middle-income countries: A cross-sectional study of nationally representative individual-level survey data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e1002751"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","PLOS Medicine"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Agoudavi, Kokou"],["dc.contributor.author","Andall-Brereton, Glennis"],["dc.contributor.author","Aryal, Krishna K."],["dc.contributor.author","Bicaba, Brice Wilfried"],["dc.contributor.author","Bovet, Pascal"],["dc.contributor.author","Brian, Garry"],["dc.contributor.author","Dorobantu, Maria"],["dc.contributor.author","Gathecha, Gladwell"],["dc.contributor.author","Singh Gurung, Mongal"],["dc.contributor.author","Guwatudde, David"],["dc.contributor.author","Msaidie, Mohamed"],["dc.contributor.author","Houehanou, Corine"],["dc.contributor.author","Houinato, Dismand"],["dc.contributor.author","Jorgensen, Jutta Mari Adelin"],["dc.contributor.author","Kagaruki, Gibson B."],["dc.contributor.author","Karki, Khem B."],["dc.contributor.author","Labadarios, Demetre"],["dc.contributor.author","Martins, Joao S."],["dc.contributor.author","Mayige, Mary T."],["dc.contributor.author","McClure, Roy Wong"],["dc.contributor.author","Mwalim, Omar"],["dc.contributor.author","Mwangi, Joseph Kibachio"],["dc.contributor.author","Norov, Bolormaa"],["dc.contributor.author","Quesnel-Crooks, Sarah"],["dc.contributor.author","Silver, Bahendeka K."],["dc.contributor.author","Sturua, Lela"],["dc.contributor.author","Tsabedze, Lindiwe"],["dc.contributor.author","Wesseh, Chea Stanford"],["dc.contributor.author","Stokes, Andrew"],["dc.contributor.author","Marcus, Maja"],["dc.contributor.author","Ebert, Cara"],["dc.contributor.author","Davies, Justine I."],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.author","Bärnighausen, Till W."],["dc.contributor.author","Jaacks, Lindsay M."],["dc.date.accessioned","2019-07-09T11:50:19Z"],["dc.date.available","2019-07-09T11:50:19Z"],["dc.date.issued","2019"],["dc.description.abstract","BACKGROUND: The prevalence of diabetes is increasing rapidly in low- and middle-income countries (LMICs), urgently requiring detailed evidence to guide the response of health systems to this epidemic. In an effort to understand at what step in the diabetes care continuum individuals are lost to care, and how this varies between countries and population groups, this study examined health system performance for diabetes among adults in 28 LMICs using a cascade of care approach. METHODS AND FINDINGS: We pooled individual participant data from nationally representative surveys done between 2008 and 2016 in 28 LMICs. Diabetes was defined as fasting plasma glucose ≥ 7.0 mmol/l (126 mg/dl), random plasma glucose ≥ 11.1 mmol/l (200 mg/dl), HbA1c ≥ 6.5%, or reporting to be taking medication for diabetes. Stages of the care cascade were as follows: tested, diagnosed, lifestyle advice and/or medication given (\"treated\"), and controlled (HbA1c < 8.0% or equivalent). We stratified cascades of care by country, geographic region, World Bank income group, and individual-level characteristics (age, sex, educational attainment, household wealth quintile, and body mass index [BMI]). We then used logistic regression models with country-level fixed effects to evaluate predictors of (1) testing, (2) treatment, and (3) control. The final sample included 847,413 adults in 28 LMICs (8 low income, 9 lower-middle income, 11 upper-middle income). Survey sample size ranged from 824 in Guyana to 750,451 in India. The prevalence of diabetes was 8.8% (95% CI: 8.2%-9.5%), and the prevalence of undiagnosed diabetes was 4.8% (95% CI: 4.5%-5.2%). Health system performance for management of diabetes showed large losses to care at the stage of being tested, and low rates of diabetes control. Total unmet need for diabetes care (defined as the sum of those not tested, tested but undiagnosed, diagnosed but untreated, and treated but with diabetes not controlled) was 77.0% (95% CI: 74.9%-78.9%). Performance along the care cascade was significantly better in upper-middle income countries, but across all World Bank income groups, only half of participants with diabetes who were tested achieved diabetes control. Greater age, educational attainment, and BMI were associated with higher odds of being tested, being treated, and achieving control. The limitations of this study included the use of a single glucose measurement to assess diabetes, differences in the approach to wealth measurement across surveys, and variation in the date of the surveys. CONCLUSIONS: The study uncovered poor management of diabetes along the care cascade, indicating large unmet need for diabetes care across 28 LMICs. Performance across the care cascade varied by World Bank income group and individual-level characteristics, particularly age, educational attainment, and BMI. This policy-relevant analysis can inform country-specific interventions and offers a baseline by which future progress can be measured."],["dc.identifier.doi","10.1371/journal.pmed.1002751"],["dc.identifier.pmid","30822339"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15910"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59747"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1549-1676"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","300"],["dc.subject.ddc","320"],["dc.title","Health system performance for people with diabetes in 28 low- and middle-income countries: A cross-sectional study of nationally representative surveys"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e1002581"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","PLoS Medicine"],["dc.bibliographiccitation.volume","15"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Theilmann, Michaela"],["dc.contributor.author","Davies, Justine I."],["dc.contributor.author","Awasthi, Ashish"],["dc.contributor.author","Danaei, Goodarz"],["dc.contributor.author","Gaziano, Thomas A."],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Jaacks, Lindsay M."],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.editor","Peiris, David"],["dc.date.accessioned","2020-12-10T18:42:04Z"],["dc.date.available","2020-12-10T18:42:04Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1371/journal.pmed.1002581"],["dc.identifier.eissn","1549-1676"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15669"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77794"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Wirtschaftswissenschaftliche Fakultät"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Geographic and sociodemographic variation of cardiovascular disease risk in India: A cross-sectional study of 797,540 adults"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","363"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","JAMA Internal Medicine"],["dc.bibliographiccitation.volume","178"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Theilmann, Michaela"],["dc.contributor.author","Davies, Justine I."],["dc.contributor.author","Awasthi, Ashish"],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Jaacks, Lindsay M."],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Atun, Rifat"],["dc.date.accessioned","2020-12-10T14:07:32Z"],["dc.date.available","2020-12-10T14:07:32Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1001/jamainternmed.2017.8094"],["dc.identifier.issn","2168-6106"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/70227"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Diabetes and Hypertension in India"],["dc.title.alternative","A Nationally Representative Study of 1.3 Million Adults"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","423"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","The Lancet Diabetes & Endocrinology"],["dc.bibliographiccitation.lastpage","430"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Bommer, Christian"],["dc.contributor.author","Heesemann, Esther"],["dc.contributor.author","Sagalova, Vera"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Vollmer, Sebastian"],["dc.date.accessioned","2020-12-10T15:22:06Z"],["dc.date.available","2020-12-10T15:22:06Z"],["dc.date.issued","2017"],["dc.description.abstract","Background Differences in methods and data used in past studies have limited comparisons of the cost of illness of diabetes across countries. We estimate the full global economic burden of diabetes in adults aged 20-79 years in 2015, using a unified framework across all countries. Our objective was to highlight patterns of diabetes-associated costs as well as to identify the need for further research in low-income regions. Methods Epidemiological and economic data for 184 countries were used to estimate the global economic burden of diabetes, regardless of diabetes type. Direct costs were derived using a top-down approach based on WHO general health expenditure figures and prevalence data from the 2015 International Diabetes Federation Diabetes Atlas. Indirect costs were assessed using a human-capital approach, including diabetes-associated morbidity and premature mortality. Findings We estimate the global cost of diabetes for 2015 was US.31 trillion (95% CI 1.28-1.36) or 1.8% (95% CI 1.8-1.9) of global gross domestic product (GDP). Notably, indirect costs accounted for 34.7% (95% CI 34.7-35.0) of the total burden, although substantial variations existed both in the share and the composition of indirect costs across countries. North America was the most affected region relative to GDP and also the largest contributor to global absolute costs. However, on average, the economic burden as percentage of GDP was larger in middle-income countries than in high-income countries. Interpretation Our results suggest a substantial global economic burden of diabetes. Although limited data were available for low-income and middle-income countries, our findings suggest that large diabetes-associated costs are not only a problem in high-income settings but also affect poorer world regions."],["dc.identifier.doi","10.1016/S2213-8587(17)30097-9"],["dc.identifier.isi","000401817500019"],["dc.identifier.issn","2213-8587"],["dc.identifier.pmid","28456416"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73276"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.relation.issn","2213-8587"],["dc.title","The global economic burden of diabetes in adults aged 20–79 years: a cost-of-illness study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

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