Pregnant Women's Views on the Feasibility and Acceptability of Web-Based Mental Health E-Screening Versus Paper-Based Screening: A Randomized Controlled Trial

Dawn Kingston, Marie-Paule Austin, Sander Veldhuyzen van Zanten, Paula Harvalik, Rebecca Giallo, Sarah D McDonald, Glenda MacQueen, Lydia Vermeyden, Gerri Lasiuk, Wendy Sword, Anne Biringer, Dawn Kingston, Marie-Paule Austin, Sander Veldhuyzen van Zanten, Paula Harvalik, Rebecca Giallo, Sarah D McDonald, Glenda MacQueen, Lydia Vermeyden, Gerri Lasiuk, Wendy Sword, Anne Biringer

Abstract

Background: Major international guidelines recommend mental health screening during the perinatal period. However, substantial barriers to screening have been reported by pregnant and postpartum women and perinatal care providers. E-screening offers benefits that may address implementation challenges.

Objective: The primary objective of this randomized controlled trial was to evaluate the feasibility and acceptability of Web-based mental health e-screening compared with paper-based screening among pregnant women. A secondary objective was to identify factors associated with women's preferences for e-screening and disclosure of mental health concerns.

Methods: Pregnant women recruited from community and hospital-based antenatal clinics and hospital-based prenatal classes were computer-randomized to a fully automated Web-based e-screening intervention group or a paper-based control group. Women were eligible if they spoke or read English, were willing to be randomized to e-screening, and were willing to participate in a follow-up diagnostic interview. The intervention group completed the Antenatal Psychosocial Health Assessment and the Edinburgh Postnatal Depression Scale on a tablet computer, while controls completed them on paper. All women completed self-report baseline questions and were telephoned 1 week after randomization by a blinded research assistant for a MINI International Neuropsychiatric Interview. Renker and Tonkin's tool of feasibility and acceptability of computerized screening was used to assess the feasibility and acceptability of e-screening compared with paper-based screening. Intention-to-treat analysis was used. To identify factors associated with preference for e-screening and disclosure, variables associated with each outcome at P<.20 were simultaneously entered into final multivariable models to estimate adjusted odds ratios (AORs) and 95% CIs.

Results: Of the 675 eligible women approached, 636 agreed to participate (participation rate 94.2%) and were randomized to the intervention (n=305) or control (n=331) groups. There were no significant baseline differences between groups. More women in the e-screening group strongly or somewhat agreed that they would like to use a tablet for answering questions on emotional health (57.9%, 175/302 vs 37.2%, 121/325) and would prefer using a tablet to paper (46.0%, 139/302 vs 29.2%, 95/325), compared with women in the paper-based screening group. There were no differences between groups in women's disclosure of emotional health concerns (94.1%, 284/302 vs 90.2%, 293/325). Women in the e-screening group consistently reported the features of e-screening more favorably than controls (more private or confidential, less impersonal, less time-consuming). In the multivariable models, being in the e-screening group was significantly associated with preferring e-screening (AOR 2.29, 95% CI 1.66-3.17), while no factors were significantly associated with disclosure.

Conclusions: The findings suggest that mental health e-screening is feasible and acceptable to pregnant women.

Trial registration: Clinicaltrials.gov NCT01899534; https://ichgcp.net/clinical-trials-registry/NCT01899534 (Archived by WebCite at http://www.webcitation.org/6ntWg1yWb).

Keywords: computers; mental health; pregnancy; prenatal care; screening.

Conflict of interest statement

Conflicts of Interest: None declared.

©Dawn Kingston, Marie-Paule Austin, Sander Veldhuyzen van Zanten, Paula Harvalik, Rebecca Giallo, Sarah D McDonald, Glenda MacQueen, Lydia Vermeyden, Gerri Lasiuk, Wendy Sword, Anne Biringer. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 07.04.2017.

Figures

Figure 1
Figure 1
CONSORT flow diagram.

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