Estimating the prevalence of fetal alcohol syndrome in Victoria using routinely collected administrative data

被引:16
|
作者
Allen, Kelly [1 ]
Riley, Merilyn [1 ]
Goldfeld, Sharon [1 ]
Halliday, Jane [1 ]
机构
[1] Rural & Reg Hlth & Aged Care, Victorian Perinatal Data Collect Unit, Publ Hlth Grp, Dept Human Serv, Melbourne, Vic 3001, Australia
关键词
D O I
10.1111/j.1753-6405.2007.00012.x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective: To establish the prevalence of fetal alcohol syndrome (FAS) in Victoria through the Victorian Birth Defects Register (VBDR) Methods: A sample of live births from 1995-2002 was selected from the Victorian Perinatal Data Collection and VBDR based on reported microcephaly, FAS or maternal use of alcohol during pregnancy. Following ethics approval, medical records of mother and child were requested for 117 births. One hundred and nine of these were accessed and examined for factors related to FAS. Records were categorised as FAS, possible FAS, unable to categorise, or not FAS. Results: From the VBDR the prevalence was calculated at 0.006 per 1,000 live births. Four additional possible cases of FAS increased this to 0.014 per 1,000 live births. Six cases were defined as,unable to categorise' as alcohol use was unknown but other features of FAS were evident. Including these cases, plus five where some low-level alcohol use was reported, increased the prevalence to 0.03 per 1,000 live births. Twenty-eight per cent of the audit population and 39% of the microcephalic cases had no information about maternal alcohol use recorded in the antenatal or babies' records. Conclusion and Implications: The audit of medical records provided additional information regarding FAS prevalence in Victoria. This prevalence ranges from 0.01 to 0.03 per 1,000 live births. To accurately assess the extent of the problem, there needs to be improved reporting of alcohol use in pregnancy and a system in place to report cases diagnosed during and beyond the perinatal period to the VBDR.
引用
收藏
页码:62 / 66
页数:5
相关论文
共 50 条
  • [1] Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data
    Richard J. Fry
    Sarah E. Rodgers
    Jennifer Morgan
    Scott Orford
    David L. Fone
    [J]. Applied Spatial Analysis and Policy, 2017, 10 : 301 - 315
  • [2] Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data
    Fry, Richard J.
    Rodgers, Sarah E.
    Morgan, Jennifer
    Orford, Scott
    Fone, David L.
    [J]. APPLIED SPATIAL ANALYSIS AND POLICY, 2017, 10 (02) : 301 - 315
  • [3] Estimating the "prevalence of fetal alcohol syndrome - A summary
    May, PA
    Gossage, JP
    [J]. ALCOHOL RESEARCH & HEALTH, 2001, 25 (03): : 159 - 167
  • [4] Estimating population effects of vaccination using large, routinely collected data
    Halloran, M. Elizabeth
    Hudgens, Michael G.
    [J]. STATISTICS IN MEDICINE, 2018, 37 (02) : 294 - 301
  • [5] Estimating influenza vaccine effectiveness using routinely collected laboratory data
    Fleming, D. M.
    Andrews, N. J.
    Ellis, J. S.
    Bermingham, A.
    Sebastianpillai, P.
    Elliot, A. J.
    Miller, E.
    Zambon, M.
    [J]. JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2010, 64 (12): : 1062 - 1067
  • [6] Estimating the Prevalence of Dementia in New Zealand Using Capture-Recapture Analysis on Routinely Collected Health Data
    Ma'u, E.
    Cullum, S.
    Mukadam, N.
    Davis, D.
    Rivera-Rodriguez, C.
    Cheung, G.
    [J]. INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, 2024, 39 (08)
  • [7] ESTIMATING DISEASE PREVALENCE IN ADMINISTRATIVE DATA
    Kopec, Jacek A.
    [J]. CLINICAL AND INVESTIGATIVE MEDICINE, 2022, 45 (02): : E21 - E27
  • [8] Risk adjustment for complications of hysterectomy: Limitations of routinely collected administrative data
    Myers, ER
    Steege, JF
    [J]. AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 1999, 181 (03) : 567 - 575
  • [9] USING ROUTINELY COLLECTED ADMINISTRATIVE DATA TO FURTHER EXAMNE VARIATION IN OBSTETRIC OUTCOMES BY DAY OF THE WEEK
    Aylin, P.
    Palmer, W.
    [J]. INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, 2016, 28 : 31 - 32
  • [10] Estimating phytoplankton stoichiometry from routinely collected monitoring data
    Yuan, Lester L.
    Jones, John R.
    [J]. BIOGEOCHEMISTRY, 2022, 159 (02) : 251 - 264