Title |
Are women with major depression in pregnancy identifiable in population health data?
|
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Published in |
BMC Pregnancy and Childbirth, March 2013
|
DOI | 10.1186/1471-2393-13-63 |
Pubmed ID | |
Authors |
Lyn Colvin, Linda Slack-Smith, Fiona J Stanley, Carol Bower |
Abstract |
Although record linkage of routinely collected health datasets is a valuable research resource, most datasets are established for administrative purposes and not for health outcomes research. In order for meaningful results to be extrapolated to specific populations, the limitations of the data and linkage methodology need to be investigated and clarified. It is the objective of this study to investigate the differences in ascertainment which may arise between a hospital admission dataset and a dispensing claims dataset, using major depression in pregnancy as an example. The safe use of antidepressants in pregnancy is an ongoing issue for clinicians with around 10% of pregnant women suffer from depression. As the birth admission will be the first admission to hospital during their pregnancy for most women, their use of antidepressants, or their depressive condition, may not be revealed to the attending hospital clinicians. This may result in adverse outcomes for the mother and infant. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 1% |
Portugal | 1 | 1% |
Australia | 1 | 1% |
Unknown | 65 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 18% |
Researcher | 10 | 15% |
Student > Ph. D. Student | 8 | 12% |
Student > Bachelor | 8 | 12% |
Student > Postgraduate | 5 | 7% |
Other | 15 | 22% |
Unknown | 10 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 35% |
Psychology | 12 | 18% |
Social Sciences | 4 | 6% |
Economics, Econometrics and Finance | 4 | 6% |
Neuroscience | 3 | 4% |
Other | 9 | 13% |
Unknown | 12 | 18% |