App-Based Ecological Momentary Assessment to Enhance Clinical Care for Postpartum Depression: Pilot Acceptability Study
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, signifi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2022-03-01
|
| Series: | JMIR Formative Research |
| Online Access: | https://formative.jmir.org/2022/3/e28081 |
| _version_ | 1827858529169440768 |
|---|---|
| author | Holly Krohn Jerry Guintivano Rachel Frische Jamie Steed Hannah Rackers Samantha Meltzer-Brody |
| author_facet | Holly Krohn Jerry Guintivano Rachel Frische Jamie Steed Hannah Rackers Samantha Meltzer-Brody |
| author_sort | Holly Krohn |
| collection | DOAJ |
| description |
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. |
| first_indexed | 2024-03-12T12:55:35Z |
| format | Article |
| id | doaj.art-6399fae37a014f1490b45c9ae5a9f61c |
| institution | Directory Open Access Journal |
| issn | 2561-326X |
| language | English |
| last_indexed | 2024-03-12T12:55:35Z |
| publishDate | 2022-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Formative Research |
| spelling | doaj.art-6399fae37a014f1490b45c9ae5a9f61c2023-08-28T21:07:57ZengJMIR PublicationsJMIR Formative Research2561-326X2022-03-0163e2808110.2196/28081App-Based Ecological Momentary Assessment to Enhance Clinical Care for Postpartum Depression: Pilot Acceptability StudyHolly Krohnhttps://orcid.org/0000-0002-6442-3542Jerry Guintivanohttps://orcid.org/0000-0003-3541-1101Rachel Frischehttps://orcid.org/0000-0002-5340-9913Jamie Steedhttps://orcid.org/0000-0001-5201-4568Hannah Rackershttps://orcid.org/0000-0002-0853-4336Samantha Meltzer-Brodyhttps://orcid.org/0000-0002-8509-408X 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.https://formative.jmir.org/2022/3/e28081 |
| spellingShingle | Holly Krohn Jerry Guintivano Rachel Frische Jamie Steed Hannah Rackers Samantha Meltzer-Brody App-Based Ecological Momentary Assessment to Enhance Clinical Care for Postpartum Depression: Pilot Acceptability Study JMIR Formative Research |
| title | App-Based Ecological Momentary Assessment to Enhance Clinical Care for Postpartum Depression: Pilot Acceptability Study |
| title_full | App-Based Ecological Momentary Assessment to Enhance Clinical Care for Postpartum Depression: Pilot Acceptability Study |
| title_fullStr | App-Based Ecological Momentary Assessment to Enhance Clinical Care for Postpartum Depression: Pilot Acceptability Study |
| title_full_unstemmed | App-Based Ecological Momentary Assessment to Enhance Clinical Care for Postpartum Depression: Pilot Acceptability Study |
| title_short | App-Based Ecological Momentary Assessment to Enhance Clinical Care for Postpartum Depression: Pilot Acceptability Study |
| title_sort | app based ecological momentary assessment to enhance clinical care for postpartum depression pilot acceptability study |
| url | https://formative.jmir.org/2022/3/e28081 |
| work_keys_str_mv | AT hollykrohn appbasedecologicalmomentaryassessmenttoenhanceclinicalcareforpostpartumdepressionpilotacceptabilitystudy AT jerryguintivano appbasedecologicalmomentaryassessmenttoenhanceclinicalcareforpostpartumdepressionpilotacceptabilitystudy AT rachelfrische appbasedecologicalmomentaryassessmenttoenhanceclinicalcareforpostpartumdepressionpilotacceptabilitystudy AT jamiesteed appbasedecologicalmomentaryassessmenttoenhanceclinicalcareforpostpartumdepressionpilotacceptabilitystudy AT hannahrackers appbasedecologicalmomentaryassessmenttoenhanceclinicalcareforpostpartumdepressionpilotacceptabilitystudy AT samanthameltzerbrody appbasedecologicalmomentaryassessmenttoenhanceclinicalcareforpostpartumdepressionpilotacceptabilitystudy |