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  4. Use of Traditional Chinese Medicine for Patients Diagnosed with Postpartum Depression
 
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Use of Traditional Chinese Medicine for Patients Diagnosed with Postpartum Depression

Other Title
A Nationwide Population-Based Study
Journal
Evidence-based Complementary and Alternative Medicine
Date Issued
2020-01-01
Author(s)
CHUNG-CHIH LIAO  
DOI
10.1155/2020/7060934
URI
https://www.scopus.com/pages/publications/85089307048
https://scholars.csmu.edu.tw/handle/123456789/30952
Abstract
Postpartum depression (PPD) is one of most common postnatal complications, affecting approximately 10%-15% of women after childbirth annually. Traditional Chinese medicine (TCM) has been gaining popularity as the choice of treatment for PPD in Taiwan. Hence, our aim was to analyze the utilization of TCM among PPD patients in Taiwan. A cross-sectional study was conducted using a random sample of one million beneficiaries selected from the Taiwanese National Health Insurance Research Database. We identified patients with PPD who had received either TCM treatment or non-TCM treatment from the database during 2000-2012. Multivariate logistic regression analysis was used to identify the factors associated with the use of TCM. A total of 653 patients with PPD were enrolled. The majority of patients with PPD were 26-30 years old, lived in a highly urbanized area of Taipei, had a monthly income <20,000 NT$, and were private enterprise employees. Around 52.7% of PPD patients had the motivation to seek TCM services. Younger women, who resided in central and southern Taiwan and who had used TCM one year before PPD diagnosis, were more likely to use TCM services. PPD patients who underwent TCM treatment had a lower overall medical expenditure than non-TCM users. Most TCM users chose simple Chinese herbal medicine. The coexisting factors that made PPD patients to seek TCM services were respiratory or oral infections. We demonstrated the characteristics of those that seek TCM for PPD, which may provide useful insights to health care providers towards resource allocation.
Type
journal article
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