Bleeding and spotting with the levonorgestrel 13.5 mg intrauterine system: the impact of insertion timing

Shimoni, Noa’a; Choudhury, Tasmiah; Goldman, Abe; Frondelli, Michelle J.; Chen, Ping Hsin

doi:10.1016/j.contraception.2019.02.004

Cited by 7 publications

(15 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies of longer duration yield good response rates as well [10]. A study capturing vaginal bleeding and spotting for 90 days after IUD insertion achieved a 98% response rate by text [11].…”

Section: The Text Messagementioning

confidence: 99%

“…Many investigators include the question and answer choices in the text prompt ( Fig. 1) [1,10,11,16,17]. In cases where this is not feasible secondary to character restrictions, investigators often provide participants a copy of the question for reference [1,11,15].…”

Section: The Text Messagementioning

confidence: 99%

“…Secure data platforms are advised for data collection [1,10,11,19,24]. Investigators in several studies were careful to remove as much identifying participant information as possible, using telephone numbers or participant IDs in the datasets [11,25], recommending that participants immediately delete messages after answering them, and encouraging participants to password protect their phones [16,17,24].…”

Section: The Datamentioning

confidence: 99%

“…Many studies use reminder messages to maximize response rates [1,11,26,27]. Nippita et al sent text messages daily at 9 pm and a reminder message 12 h later if the first message went unanswered [1].…”

Section: The Datamentioning

confidence: 99%

“…Improving continuation in 962 oral contraceptive users via a randomized trial of daily text message reminders or standard care (Castaño, 2012) [8] Increasing rates of intra-and post-partum influenza vaccination in 1187 low-income pregnant women randomized to weekly text message reminders or standard care (Stockwell, 2014) [9] Collecting daily bleeding data in 230 participants who received an intrauterine device (IUD) and were randomized to either text messages or paper diaries (Nippita, 2015) [1] Demonstrating the feasibility of text messaging for influenza vaccine safety surveillance in 166 pregnant women [10] Collecting daily bleeding data via text messages in 131 women for 90 days after IUD insertion early or late in the menstrual cycle (Shimoni, 2019) [11] After aggregating the lessons learned from the listed studies, we conducted a narrative conceptual literature search to explore themes from other studies that have utilized repeated text messages to collect patient-reported data. We searched Ovid Medline for ("text messages" [mp] OR "Text Messaging" [MeSH]) AND ("data collection" [mp] OR "Data Collection" [MeSH]) from 1946 to August 12, 2019 without exploding the search to include the subheadings.…”

mentioning

confidence: 99%

See 4 more Smart Citations

Best practices for collecting repeated measures data using text messages

Shimoni

Nippita

Castaño

2020

BMC Med Res Methodol

View full text Add to dashboard Cite

Background: Researchers and clinicians use text messages to collect data with the advantage of real time capture when compared with standard data collection methods. This article reviews project setup and management for successfully collecting patient-reported data through text messages. Methods: We review our experience enrolling over 2600 participants in six clinical trials that used text messages to relay information or collect data. We also reviewed the literature on text messages used for repeated data collection. We classify recommendations according to common themes: the text message, the data submitted and the phone used. Results: We present lessons learned and discuss how to create text message content, select a data collection platform with practical features, manage the data thoughtfully and consistently, and work with patients, participants and their phones to protect privacy. Researchers and clinicians should design text messages to include short, simple prompts and answer choices. They should decide whether and when to send reminders if participants do not respond and set parameters regarding when and how often to contact patients for missing data. Data collection platforms send, receive, and store messages. They can validate responses and send error messages. Researchers should develop a protocol to append and correct data in order to improve consistency with data handling. At the time of enrollment, researchers should ensure that participants can receive and respond to messages. Researchers should address privacy concerns and plan for service interruptions by obtaining alternate participant contact information and providing participants with a backup data collection method. Conclusions: Careful planning and execution can reward clinicians and investigators with complete, timely and accurate data sets.

show abstract

Section: The Text Messagementioning

confidence: 99%