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  1. Artikel ; Online: Making everyone count: it is time to improve the visibility of people with disability in primary care.

    Bailie, Jodie / Fortune, Nicola / Gordon, Julie / Madden, Richard C / Llewellyn, Gwynnyth

    The Medical journal of Australia

    2022  Band 217, Heft 4, Seite(n) 173–175

    Mesh-Begriff(e) Disabled Persons ; Humans ; Primary Health Care
    Sprache Englisch
    Erscheinungsdatum 2022-07-31
    Erscheinungsland Australia
    Dokumenttyp Journal Article
    ZDB-ID 186082-3
    ISSN 1326-5377 ; 0025-729X
    ISSN (online) 1326-5377
    ISSN 0025-729X
    DOI 10.5694/mja2.51650
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Appropriateness of care: why so much variation.

    Madden, Richard C / Wilson, Andrew / Hoyle, Philip

    The Medical journal of Australia

    2016  Band 205, Heft 10, Seite(n) 452–453

    Mesh-Begriff(e) Australia ; Geography ; Healthcare Disparities/standards ; Healthcare Disparities/statistics & numerical data ; Humans
    Sprache Englisch
    Erscheinungsdatum 2016-09-05
    Erscheinungsland Australia
    Dokumenttyp Editorial
    ZDB-ID 186082-3
    ISSN 1326-5377 ; 0025-729X
    ISSN (online) 1326-5377
    ISSN 0025-729X
    DOI 10.5694/mja16.01041
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Improvement of maternal Aboriginality in NSW birth data

    Xu Fenglian / Sullivan Elizabeth A / Madden Richard C / Black Deborah / Jackson Pulver Lisa R

    BMC Medical Research Methodology, Vol 12, Iss 1, p

    2012  Band 8

    Abstract: Abstract Background The Indigenous population of Australia was estimated as 2.5% and under-reported. The aim of this study is to improve statistical ascertainment of Aboriginal women giving birth in New South Wales. Methods This study was based on linked ...

    Abstract Abstract Background The Indigenous population of Australia was estimated as 2.5% and under-reported. The aim of this study is to improve statistical ascertainment of Aboriginal women giving birth in New South Wales. Methods This study was based on linked birth data from the Midwives Data Collection (MDC) and the Registry of Births Deaths and Marriages (RBDM) of New South Wales (NSW). Data linkage was performed by the Centre for Health Record Linkage (CHeReL) for births in NSW for the period January 2001 to December 2005. The accuracy of maternal Aboriginal status in the MDC and RBDM was assessed by consistency, sensitivity and specificity. A new statistical variable, ASV, or Aboriginal Statistical Variable, was constructed based on Indigenous identification in both datasets. The ASV was assessed by comparing numbers and percentages of births to Aboriginal mothers with the estimates by capture-recapture analysis. Results Maternal Aboriginal status was under-ascertained in both the MDC and RBDM. The ASV significantly increased ascertainment of Aboriginal women giving birth and decreased the number of missing cases. The proportion of births to Aboriginal mothers in the non-registered birth group was significantly higher than in the registered group. Conclusions Linking birth data collections is a feasible method to improve the statistical ascertainment of Aboriginal women giving birth in NSW. This has ramifications for the ascertainment of babies of Aboriginal mothers and the targeting of appropriate services in pregnancy and early childhood.
    Schlagwörter Birth ; Aboriginality ; data ; Australia ; Medicine (General) ; R5-920
    Thema/Rubrik (Code) 310
    Sprache Englisch
    Erscheinungsdatum 2012-01-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Under-reporting of birth registrations in New South Wales, Australia.

    Xu, Fenglian / Sullivan, Elizabeth A / Black, Deborah A / Jackson Pulver, Lisa R / Madden, Richard C

    BMC pregnancy and childbirth

    2012  Band 12, Seite(n) 147

    Abstract: Background: To determine the rates of birth registration over a five-year period in New South Wales (NSW) and explore the factors associated with the rate of registration.: Methods: This is a cross-sectional study using linked population databases. ... ...

    Abstract Background: To determine the rates of birth registration over a five-year period in New South Wales (NSW) and explore the factors associated with the rate of registration.
    Methods: This is a cross-sectional study using linked population databases. The study population included all births of NSW residents in NSW between 2001 and 2005.
    Results: Birth registration rates in NSW were 82.66% in the year of birth, 93.19% in the first year, 94.02% in the second, 94.56% in the third and 95.08% in the fourth year after birth. The non-registration of births was mainly associated with such factors as neonatal and postneonatal death (adjusted OR = 3.84, 95% CI: 3.23-4.57); being Indigenous (adjusted OR = 3.26, 95% CI: 3.10-3.43); maternal age <25 or >39 years (adjusted OR = 2.81, 95% CI: 2.72-2.90); low birthweight (<2,500 grams) (adjusted OR = 1.79, 95% CI: 1.69-1.90); living in remote areas (adjusted OR = 1.57, 95% CI: 1.52-1.63); being born after the first quarter of year (adjusted OR = 1.08-1.56, 95% CI between 1.03-1.12 and 1.49-1.64); mother having more pregnancies (adjusted OR = 1.85-7.29, 95% CI between1.78-1.93 and 6.87-7.73). Mothers who were born overseas were more likely to register their births than those born in Australia (adjusted OR = 0.72, 95% CI: 0.69-0.75). Multiple births were more likely to be registered than singleton births (adjusted OR = 0.84, 95% CI: 0.76-0.92). About one-third of the non-registrations of births in NSW were explained by the risk factors. The reasons for the remaining non-registrations need to be investigated.
    Conclusion: Of birth in NSW, 4.92% were not registered by the fourth year after birth.
    Mesh-Begriff(e) Birth Certificates ; Cross-Sectional Studies ; Female ; Humans ; Infant Mortality ; Infant, Low Birth Weight ; Infant, Newborn ; Live Birth ; Logistic Models ; Maternal Age ; New South Wales/epidemiology ; Oceanic Ancestry Group/statistics & numerical data ; Odds Ratio ; Population Groups/statistics & numerical data ; Pregnancy ; Pregnancy, Multiple/statistics & numerical data ; Registries/statistics & numerical data ; Risk Factors
    Sprache Englisch
    Erscheinungsdatum 2012-12-12
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 1471-2393
    ISSN (online) 1471-2393
    DOI 10.1186/1471-2393-12-147
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Improvement of maternal Aboriginality in NSW birth data.

    Xu, Fenglian / Sullivan, Elizabeth A / Madden, Richard C / Black, Deborah / Pulver, Lisa R Jackson

    BMC medical research methodology

    2012  Band 12, Seite(n) 8

    Abstract: Background: The Indigenous population of Australia was estimated as 2.5% and under-reported. The aim of this study is to improve statistical ascertainment of Aboriginal women giving birth in New South Wales.: Methods: This study was based on linked ... ...

    Abstract Background: The Indigenous population of Australia was estimated as 2.5% and under-reported. The aim of this study is to improve statistical ascertainment of Aboriginal women giving birth in New South Wales.
    Methods: This study was based on linked birth data from the Midwives Data Collection (MDC) and the Registry of Births Deaths and Marriages (RBDM) of New South Wales (NSW). Data linkage was performed by the Centre for Health Record Linkage (CHeReL) for births in NSW for the period January 2001 to December 2005. The accuracy of maternal Aboriginal status in the MDC and RBDM was assessed by consistency, sensitivity and specificity. A new statistical variable, ASV, or Aboriginal Statistical Variable, was constructed based on Indigenous identification in both datasets. The ASV was assessed by comparing numbers and percentages of births to Aboriginal mothers with the estimates by capture-recapture analysis.
    Results: Maternal Aboriginal status was under-ascertained in both the MDC and RBDM. The ASV significantly increased ascertainment of Aboriginal women giving birth and decreased the number of missing cases. The proportion of births to Aboriginal mothers in the non-registered birth group was significantly higher than in the registered group.
    Conclusions: Linking birth data collections is a feasible method to improve the statistical ascertainment of Aboriginal women giving birth in NSW. This has ramifications for the ascertainment of babies of Aboriginal mothers and the targeting of appropriate services in pregnancy and early childhood.
    Mesh-Begriff(e) Birth Certificates ; Death Certificates ; Female ; Health Services Research ; Health Status Indicators ; Humans ; Marriage/statistics & numerical data ; Maternal Welfare/ethnology ; Maternal Welfare/statistics & numerical data ; Medical Record Linkage ; Midwifery/statistics & numerical data ; Mothers/statistics & numerical data ; New South Wales ; Oceanic Ancestry Group/ethnology ; Oceanic Ancestry Group/statistics & numerical data ; Population Groups/ethnology ; Population Groups/statistics & numerical data ; Population Surveillance/methods ; Pregnancy ; Quality Assurance, Health Care/methods ; Registries/statistics & numerical data ; Reproducibility of Results ; Self-Assessment
    Sprache Englisch
    Erscheinungsdatum 2012-01-30
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1471-2288
    ISSN (online) 1471-2288
    DOI 10.1186/1471-2288-12-8
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Under-reporting of birth registrations in New South Wales, Australia

    Xu Fenglian / Sullivan Elizabeth A / Black Deborah A / Jackson Pulver Lisa R / Madden Richard C

    BMC Pregnancy and Childbirth, Vol 12, Iss 1, p

    2012  Band 147

    Abstract: Abstract Background To determine the rates of birth registration over a five-year period in New South Wales (NSW) and explore the factors associated with the rate of registration. Methods This is a cross-sectional study using linked population databases. ...

    Abstract Abstract Background To determine the rates of birth registration over a five-year period in New South Wales (NSW) and explore the factors associated with the rate of registration. Methods This is a cross-sectional study using linked population databases. The study population included all births of NSW residents in NSW between 2001 and 2005. Results Birth registration rates in NSW were 82.66% in the year of birth, 93.19% in the first year, 94.02% in the second, 94.56% in the third and 95.08% in the fourth year after birth. The non-registration of births was mainly associated with such factors as neonatal and postneonatal death (adjusted OR = 3.84, 95% CI: 3.23-4.57); being Indigenous (adjusted OR = 3.26, 95% CI: 3.10-3.43); maternal age <25 or >39 years (adjusted OR = 2.81, 95% CI: 2.72-2.90); low birthweight (<2,500 grams) (adjusted OR = 1.79, 95% CI: 1.69-1.90); living in remote areas (adjusted OR = 1.57, 95% CI: 1.52-1.63); being born after the first quarter of year (adjusted OR = 1.08-1.56, 95% CI between 1.03-1.12 and 1.49-1.64); mother having more pregnancies (adjusted OR = 1.85-7.29, 95% CI between1.78-1.93 and 6.87-7.73). Mothers who were born overseas were more likely to register their births than those born in Australia (adjusted OR = 0.72, 95% CI: 0.69-0.75). Multiple births were more likely to be registered than singleton births (adjusted OR = 0.84, 95% CI: 0.76-0.92). About one-third of the non-registrations of births in NSW were explained by the risk factors. The reasons for the remaining non-registrations need to be investigated. Conclusion Of birth in NSW, 4.92% were not registered by the fourth year after birth.
    Schlagwörter Birth ; Registration ; Factor ; Australia ; Gynecology and obstetrics ; RG1-991 ; Medicine ; R ; DOAJ:Gynecology and Obstetrics ; DOAJ:Medicine (General) ; DOAJ:Health Sciences
    Thema/Rubrik (Code) 300
    Sprache Englisch
    Erscheinungsdatum 2012-12-01T00:00:00Z
    Verlag BioMed Central
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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