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Tag: Retention
08/28/2023

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

Zhang Y, Pratap A, Folarin AA, Sun S, Cummins N, Matcham F, Vairavan S, Dineley J, Ranjan Y, Rashid Z, Conde P, Stewart C, White KM, Oetzmann C, Ivan A, Lamers F, Siddi S, Rambla CH, Simblett S, Nica R, Mohr DC, Myin-Germeys I, Wykes T, Maria Haro J, Penninx BWJH, Annas P, Narayan VA, Hotopf M, Dobson RJB. (2023). Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. NPJ Digital Medicine, 6(1), 25–25. https://doi.org/10.1038/s41746-023-00749-3

This paper reported findings related to long-term participant retention and engagement in a large observational digital study for depression, using survey and passive sensor data collected via smartphones and Fitbit devices. Participants (N=614) were recruited from three sites in the United Kingdom, Spain and Netherlands. Data were collected for up to 2 years by the EU research program RADAR-MDD. The majority of participants (68%) remained engaged in the study after 43 weeks. Smartphone and Fitbit usage data showed 3 distinct engagement subgroups for each data stream (most engaged, medium engaged, and least engaged). The least engaged group tended to have the highest depression severity and took significantly longer to respond to survey notifications. The least engaged were on average 5 years younger than the most engaged group. Roughly 45% of participants who stopped completing surveys after 8 weeks continued to share Fitbit data (average of 42 weeks). Findings could inform the design of future digital health studies to enable equitable and balanced data collection from diverse populations.

07/11/2023

Telehealth Proves Successful for Opioid Use Disorder Treatment

Article Excerpt: Virtual care provider Ophelia found 56% of its OUD patients remained in treatment for six months and 48% stayed for one year, with retention rates significantly higher than traditional in-person care…”These study findings help take another step forward in proving what we already know: telehealth-based medication-assisted treatment for opioid use disorder is highly effective in reducing overdoses and preventing relapse,” (Chief medical officer at Ophelia) said.

Full Article: https://tinyurl.com/3z5umm7w

Article Source: Healthcare IT News

08/14/2020

Digitizing clinical trials

Inan O, Tenaerts P, Prindiville S. et al. (2020). Digitizing clinical trials. npj Digital Medicine. 3: 101. doi: 10.1038/s41746-020-0302-y

Through innovative technology, digital clinical trials (DCTs) have the potential to improve 3 key components of the clinical trial: recruitment and retention, data collection, and data analytics. Read More

03/06/2020

Treatment of opioid use disorder in pregnant women via telemedicine: A nonrandomized controlled trial

Guille C, Simpson A, and Douglas E, et al. (2020). Treatment of opioid use disorder in pregnant women via telemedicine a nonrandomized controlled trial. JAMA Network Open. 3(1): e1920177-e1920177. doi: 10.1001/jamanetworkopen.2019.20177.

Researchers recruited 98 pregnant women with opioid use disorder (OUD) from 4 outpatient obstetric practices in a South Carolina reproductive health database to participate in a 15-month prospective, nonrandomized controlled trial that compared maternal and newborn health outcomes between women who received obstetric OUD treatment via telemedicine (n = 44) and women who received in-person OUD treatment (n = 54) in the perinatal–postpartum period. Read More