Literature DB >> 30717643

Use of Text Messaging for Postpartum Depression Screening and Information Provision.

Andrea Lawson1, Ariel Dalfen1, Kellie E Murphy1, Natasha Milligan1, William Lancee1.   

Abstract

OBJECTIVE: The objective of this study was to evaluate the feasibility of using text messages to enhance mental health screening and education of women in the immediate postpartum period.
METHODS: A total of 937 postpartum women were recruited from an obstetrics and gynecology clinic of a large urban hospital. Participants received a text message containing a two-question screen for postpartum depression every two weeks and three text messages per week about postpartum mental health for the first 12 weeks postpartum. Those who screened positive were administered the Edinburgh Postnatal Depression Scale. They were matched with a subset of women who were also assessed with the Edinburgh Postnatal Depression Scale after screening negative for depression with the text messaging screen. At 12 to 13 weeks postpartum, all participants received an online survey assessing satisfaction with the text messages.
RESULTS: Of 937 participants, 126 (13%) screened positive. Agreement between the texted screen and the Edinburgh Postnatal Depression Scale was moderate (κ=0.45), with good sensitivity (0.90, 95% confidence interval [95% CI]=0.81-0.96) and specificity (0.82, 95% CI=0.79-0.85). Nine hundred thirty (99%) participants responded to at least one of the six texted screens, whereas 632 (67%) responded to all six. Of the 589 (63%) who responded to the satisfaction survey, 459 (78%) recommended that all women be screened for postpartum depression via text messaging and that all women in the postpartum period be sent information texts about postpartum depression (N=504, 91%).
CONCLUSIONS: Using text messaging technology to screen women for postpartum depression and provide information on postpartum mental health appears to be sensitive, feasible, and well accepted.

Entities:  

Keywords:  Assessment/psychiatric; Depression; Pregnancy and mental illness; Service delivery systems

Mesh:

Year:  2019        PMID: 30717643     DOI: 10.1176/appi.ps.201800269

Source DB:  PubMed          Journal:  Psychiatr Serv        ISSN: 1075-2730            Impact factor:   3.084


  7 in total

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