| Literature DB >> 35606731 |
Emily Eisner1,2, Shôn Lewis3, Charlotte Stockton-Powdrell4, Ria Agass5, Pauline Whelan6,4, Clare Tower7.
Abstract
BACKGROUND: Depression during the postnatal year is prevalent in mothers (17%) and fathers (9%), and suicide is the leading cause of maternal death in this period. Lifelong costs and consequences of untreated postnatal depression (PND) are high due to impacts on infants as well as parents. We aimed to improve access to PND treatment using digital screening. We developed a smartphone app (ClinTouch DAWN-P) that allows parents to monitor their mood daily with the Edinburgh Postnatal Depression Scale (EPDS), uploading responses in real-time to a secure server. We evaluated the app's feasibility, acceptability, validity and safety in a proof-of-concept study.Entities:
Keywords: Digital mental health; Framework analysis; Maternal mental health; Mixed methods; Postnatal depression; Screening; Smartphone; mHealth
Mesh:
Year: 2022 PMID: 35606731 PMCID: PMC9125009 DOI: 10.1186/s12884-022-04756-2
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.105
Proof-of-concept study research questions, outcomes and analysis
| Concept | Research question | Outcome(s) | Analysis |
|---|---|---|---|
| Feasibility | Is it feasible to use a smartphone app to screen for parental postnatal depression from late pregnancy until 6 weeks postpartum? | Measures of feasibility: • Study recruitment rate • Reasons for declining to participate • Study dropout rate • Percentage of daily app assessments completed during the app-use phase • Percentage of participants completing ≥ 33% of app assessments • Percentage of participants completing ≥ 50% of app assessments | • Descriptive statistics of all listed measures of feasibility • The a priori “accept” criterion for app engagement was ≥ 33% daily EPDS completed across the sample, with the “target” criterion being 50% of participants submitting 50% of data entries |
| Patterns of app use | Which parents engage most with the app? How do users’ app use patterns change over time? | • Baseline clinical/demographic information • Percentage daily app use in the app use period • Level of app use per week of the study | • Effects of baseline variables on percentage daily app use examined using Spearman’s correlation (continuous variables), Mann–Whitney or Kruskal–Wallis tests (categorical variables) • Pattern of app completion over time examined using mixed effects models (random effect of participant; fixed effect of time; percentage app completion as the dependent variable) |
| Validity | Is it valid to use a smartphone app for this purpose? | Data from first and last weeks of app-use phase: • App-generated daily EPDS (up to 7 data-points per person per week, averaged across the week for comparison with paper EPDS) • Gold-standard weekly paper EPDS | Agreement between app and paper EPDS data examined for two separate one-week periods using: • Intra-class correlation (total EPDS scores, continuous variable) • Weighted kappa (individual item scores, ordinal) |
| Safety | Is it safe to use a smartphone app for this purpose? | • Number of minor and major adverse events during the study | • Descriptive statistics of the number of minor/major adverse events and whether these appear to be are related/unrelated to app use |
| Usability and acceptability | Is the app easy to use? Do parents find it acceptable to use a smartphone app for this purpose? | • Abridged Mobile App Rating Scale • Qualitative interview data regarding usability and acceptability of the app | • Descriptive statistics of quantitative data from the abridged Mobile App Rating Scale • Framework analysis of qualitative data (a priori themes relating to usability/acceptability) |
| User experiences (follow-up paper) | What are parents’ experiences of using an app for this purpose? What are parents’ experiences of the study procedures? | • Qualitative interview data regarding experiences of app use and study procedures | • Framework analysis of qualitative data (a posteriori themes), to be published in a follow-up paper |
aEPDS Edinburgh Postnatal Depression Scale
baseline sociodemographic characteristics
| Baseline variable | Association between baseline variable and percentage app use | |||
|---|---|---|---|---|
| Frequency (percentage) unless otherwise stated | Test statistic type | Test statistic value | P value | |
| Age (mean, sd) | 33.8 (5.2) | ρ | 0.50 | 0.014 |
| Gender | ||||
| Female | 15 (65.2) | U | 42 | 0.245 |
| Male | 8 (34.8) | |||
| Employmenta | ||||
| Full time work | 13 (56.5) | Χ2 | 7.50 | 0.058 |
| Part time work | 7 (30.4) | |||
| Home duties | 2 (8.7) | |||
| Unemployed | 1 (4.4) | |||
| Ethnicity | ||||
| Asian or Asian British | 2 (8.7) | Χ2 | 3.34 | 0.362 |
| Black or Black British | 2 (8.7) | |||
| Chinese | 2 (8.7) | |||
| Mixed race | 1 (4.4) | |||
| White British | 16 (69.6) | |||
| English language | ||||
| Native English speaker | 19 (82.6) | U | 24 | 0.256 |
| English as a second language | 4 (17.4) | |||
| Owns a smartphone | 23 (100.0) | – | – | – |
| Borrowed a study phone | 6 (26.1) | U | 48 | 0.834 |
| Past depression | 5 (21.7) | U | 18 | 0.044 |
| Past psychiatric medication | 6 (26.1) | U | 22 | 0.042 |
| Past talking therapy | 6 (26.1) | U | 49 | 0.889 |
| Body Mass Index (mean, sd) | 27.1 (9.4) | |||
| Major obstetric complications | 2 (15.4) | |||
| Mode of delivery | ||||
| Vaginal | 6 (46.2) | |||
| Caesarean section | 7 (53.9) | |||
| Parity | ||||
| One | 2 (15.4) | |||
| Two or more | 8 (61.5) | |||
| Missing data | 3 (23.1) | |||
| Booking appointment: any depression | 3 (23.1) | |||
| Booking appointment: any anxiety/worry | 5 (38.5) | |||
| Any psychiatric history | 6 (46.2) | |||
aUsual employment when not on maternity leave or furloughed
bSample too small for statistical comparison
Fig. 1Participant flow through the study
Fig. 2Level of app engagement per participant, averaged across the whole app use period
Comparison of daily app-reported EPDS (mean average of up to 7 days of data) with weekly paper EPDS for the initial week and the final week of the app use period
| Initial week ( | Final week ( | |||
|---|---|---|---|---|
| ICCa/ kappab | 95% CI | ICCa/ kappab | 95% CI | |
| Total EPDS | 0.91 | 0.81 – 0.96 | 0.97 | 0.93 – 0.99 |
| EPDS1 | 0.77 | 0.41 – 1.00 | 1.00 | 1.00 – 1.00 |
| EPDS2 | 0.66 | 0.34 – 0.98 | 0.87 | 0.59 – 1.00 |
| EPDS3 | 0.58 | 0.28 – 0.88 | 0.70 | 0.36 – 1.00 |
| EPDS4 | 0.58 | 0.27 – 0.89 | 0.79 | 0.53 – 1.00 |
| EPDS5 | 0.82 | 0.60 – 1.00 | 0.82 | 0.62 – 1.00 |
| EPDS6 | 0.50 | 0.25 – 0.75 | 0.87 | 0.69 – 1.00 |
| EPDS7 | 0.54 | 0.18 – 0.90 | 0.25 | -0.22 – 0.72 |
| EPDS8 | 0.51 | 0.19 – 0.84 | 0.63 | 0.31 – 0.95 |
| EPDS9 | 0.51 | 0.17 – 0.85 | 0.92 | 0.73 – 1.00 |
| EPDS10 | 0.00c | 0.00 – 0.00 | 1.00c | 1.00 – 1.00 |
aTwo way mixed effects model, absolute agreement; calculated for total EPDS score (continuous)
bWeighted Cohen’s kappa, calculated for EPDS individual items (ordinal)
cThese extreme scores appear to be caused by the vary low variability in participant scores on this item (thoughts of self-harm); only one participant rated this item above zero on the app and/or the paper EPDS
Fig. 3Average responses to abridged MARS items