The PPD-ACT App: Feasibility of a mobile application for recruiting women with postpartum depression and psychosis to a psychiatric genetics study (Preprint)

semanticscholar(2020)

引用 0|浏览2
暂无评分
摘要
BACKGROUND Postpartum depression (PPD) is linked to long-standing negative consequences for women and families. Virtual care applications present a solution to the challenge of recruiting large samples for genetic PPD research. OBJECTIVE This study evaluated the feasibility of using an iOS mobile application (PPD-ACT app) to collect genetic samples from Canadian women with current or past PPD. METHODS Women downloaded the PPD-ACT app to provide consent, phenotypic data, and if they met inclusion criteria, mailing information for a genetic sample. PPD was defined as: (1) Edinburgh Postnatal Depression Scale (EPDS) score of >12 at most severe episode, (2) onset in pregnancy or 0-3 months postpartum, and (3) no preterm birth or severe maternal or child illness. Latent class analysis (LCA) described PPD case phenotypes. Women self-reporting lifetime postpartum psychosis (PPP) were also asked to provide a DNA sample. RESULTS Of 797 women meeting PPD case criteria, 75.0% (n=598) agreed to be sent a DNA collection kit; 67.6% of whom (n=404) submitted a sample. Women (86.7% White) came from 11/13 Canadian provinces/territories, with a mean of 4.7 years (SD=7.0) since the PPD episode. LCA identified two PPD classes, clinically distinct by illness severity: (1) moderate severity (mean EPDS=18.5, SD=2.5; 8.6% with suicidality), and (2) severe (mean EDPS=24.5, SD=2.1; 52.8% with suicidality). 109 women self-reported a history of PPP (39 without PPD; 60.7% submitted DNA). CONCLUSIONS A mobile application rapidly collected data from women with relatively severe forms of PPD, an advantage for genetics where specificity is optimal, and may be feasible for collecting data from women with a history of the even more rare condition of PPP. Expanding the mobile platform options might increase accessibility as well as the diversity of the sample.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要