Evidence map›Paper›PMID 35319483›Full record

ArticleJMIR formative research2022

App-Based Ecological Momentary Assessment to Enhance Clinical Care for Postpartum Depression: Pilot Acceptability Study.

Holly Krohn, Jerry Guintivano, Rachel Frische, Jamie Steed, Hannah Rackers, Samantha Meltzer-Brody

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Holly KrohnDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0002-6442-3542
Jerry GuintivanoDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0003-3541-1101
Rachel FrischeDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0002-5340-9913
Jamie SteedDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0001-5201-4568
Hannah RackersDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0002-0853-4336
Samantha Meltzer-BrodyDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0002-8509-408X
University of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable tracking devices and mobile health technology are increasingly used in an effort to enhance clinical care and the delivery of personalized medical treatment. Postpartum depression is the most frequently diagnosed complication of childbirth; however, significant gaps in screening and treatment remain.

objectiveThis study aims to investigate the clinical utility, predictive ability, and acceptability of using ecological momentary assessment to collect daily mood, sleep, and activity data through the use of an Apple Watch and mobile app among women with postpartum depression.

methodsThis was a pilot study consisting of 3 in-person research visits over the course of a 6-week enrollment period. Questionnaires to assess depression, anxiety, and maternal functioning were periodically collected, along with daily self-reported symptoms and passively collected physiological data via an Apple Watch. Feedback was collected from study participants and the study clinician to determine the utility and acceptability of daily tracking. Logistic regression was used to determine whether mood scores in the 2 weeks before a visit predicted scores at follow-up. Compliance with daily assessments was also measured.

resultsOf the 26 women enrolled, 23 (88%) completed the 6-week study period. On average, the participants completed 67% (34.4/51.5 days) of all active daily assessments and 74% (38/51.5 days) of all passive measures. Furthermore, all 23 participants completed the 3 required visits with the research team. Predictive correlations were found between self-reported mood and Edinburgh Postnatal Depression Scale score at follow-up, self-reported anxiety and EDPS, and sleep quality and Edinburgh Postnatal Depression Scale.

conclusionsUsing ecological momentary assessment to track daily symptoms of postpartum depression using a wearable device was largely endorsed as acceptable and clinically useful by participants and the study clinician and could be an innovative solution to increase care access during the COVID-19 pandemic.

Indexed as

depressionecological momentary assessment (EMA)mHealthmobile appsmobile healthmobile phonepersonalized carepostpartum care

Identifiers

PMID35319483
PMCPMC8987954
OpenAlexW4211043516

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.