Text message link to online survey: A new highly effective method of longitudinal data collection

Text message link to online survey: A new highly effective method of longitudinal data collection

Journal Pre-proofs Original Research Article Text message link to online survey: a new highly effective method of longitudinal data collection EmmaKat...

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Journal Pre-proofs Original Research Article Text message link to online survey: a new highly effective method of longitudinal data collection EmmaKate B Friedlander, Reni Soon, Jennifer Salcedo, Mary Tschann, Tiana Fontanilla, Bliss Kaneshiro PII: DOI: Reference:

S0010-7824(19)30484-6 https://doi.org/10.1016/j.contraception.2019.11.008 CON 9362

To appear in:

Contraception

Received Date: Revised Date: Accepted Date:

5 May 2019 18 November 2019 18 November 2019

Please cite this article as: E.B. Friedlander, R. Soon, J. Salcedo, M. Tschann, T. Fontanilla, B. Kaneshiro, Text message link to online survey: a new highly effective method of longitudinal data collection, Contraception (2019), doi: https://doi.org/10.1016/j.contraception.2019.11.008

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Title: Text message link to online survey: a new highly effective method of longitudinal data

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collection

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Authors: EmmaKate B Friedlander MD PhD, Reni Soon, MD MPH, Jennifer Salcedo, MD

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MPH MPP, Mary Tschann PhD MPH, Tiana Fontanilla MPH, Bliss Kaneshiro, MD MPH

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Institution: John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI.

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Corresponding Author:

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EmmaKate Friedlander, MD PhD

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[email protected]

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808-203-6500

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Department of Obstetrics and Gynecology

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John A Burns School of Medicine, University of Hawaii at Manoa

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1319 Punahou St. Ste 824

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Honolulu, HI 96826

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Short Title: Text to survey data collection

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Abstract Word Count: 250

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Manuscript Word Count: 2240

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This data was presented as a poster abstract at the North American Forum on Family Planning in

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Atlanta, Georgia, October 13-15th 2017.

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Portions of this study were filed within Dr. Friedlander’s dissertation with ProQuest dissertation

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filing service, June 2017.

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Declarations of interest: none

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Abstract

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Objectives: To evaluate response rate to a text message link for an online survey as a method of

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data collection over the course of a medication abortion.

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Study Design: This is a secondary analysis of a randomized, double-blind, placebo-controlled

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trial of 110 women initiating a medication abortion up to 70 days gestation. We sent a text

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message containing a link to an online survey collecting pain scores, analgesic use, and adverse

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effects at six time points over 72 hours from time of misoprostol administration (0-, 2-, 6-, 12-,

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24-, and 72-hours). Our primary outcome was the proportion of all text messages sent for which

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an online survey response was received. Secondary outcomes included the proportion of

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complete responses (all six surveys), responses received more than two hours after text prompt

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(defined as late), and differences in response rate by time of day.

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Results: From June 2015 to October 2016, we screened 241 women, and 110 were randomized.

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We excluded three (1.2%) due to lack of a cellular phone with text capability, and three (2.7%)

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were lost to follow-up after enrollment. We received a response to 95.9% (633/660) of the

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delivered surveys, and 93.6% (103/110) of participants completed all six surveys. Over three-

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quarters of all responses were received within two hours of the requested time. Surveys sent

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before 08:00 were more likely to be returned late.

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Conclusions: In this population of women seeking medication abortion, text message link to

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online survey response appears to be an effective mode of data collection.

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Key words: Data collection, survey, text message, SMS

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Implications: Text message prompts for an online survey may optimize longitudinal real-time

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data collection response rates of sensitive data.

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1. Introduction Complete data collection is critical for validity in longitudinal studies with repeated

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measurements. Loss to follow-up and missing data can introduce bias. Common methods of

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prospective data collection include in-person study visits, phone calls, and paper surveys or

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diaries. Recently, mobile phone short message service (SMS) text messaging has been

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introduced for health care educational interventions and service delivery, with up to a 100%

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response rate [1-4]. However, study participants prefer and are more likely to complete online

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surveys over SMS text message responses or paper surveys [3]. Most text messaging studies

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have focused on SMS reminder texts or simple binary responses, rather than full surveys. When

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a study includes multiple data points for several different variables, surveys are better suited for

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direct responses rather than multiple binary text responses. To our knowledge, no studies have

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combined SMS text prompt with an online survey, which may be preferred when collecting data

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for several variables longitudinally.

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Medication abortion studies often collect data on pain, bleeding, and analgesic use over

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time. Though the medication abortion process is initiated with mifepristone in a health care

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providers’ office, misoprostol is administered at home with patients passing the pregnancy

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within a 24- to 48-hour time frame outside of a health care facility. Early medication abortion

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studies to understand pain and bleeding used in-person visits where women remained at a health

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care facility for the medication abortion process, a scenario that is uncommon today and may not

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be reflective of the experience at home [5-8]. Researchers have studied the home medication

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abortion experience using paper diaries, though the real-time completion of paper diaries is

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difficult to confirm and may rely on recall [9].

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Retrospective accounts of the medication abortion experience, collected at the time of a

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follow-up visit, are subject to recall bias. After a process has ended, the memory of the event

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may be different than that experienced in real-time. This concept was examined in a longitudinal

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study of chronic pain patients that used paper diary cards kept in a binder with a hidden sensor

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that recorded when the binder was opened. This allowed them to compare participant self-

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reported response time with recorded times of binder use. Though participants reported

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answering the surveys within the allotted window 90% of the time, the electronic data from the

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sensor matched only 11% of the time. The second arm of the study used an electronic device

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with timed prompts instead of a paper binder, and recorded over 93% accurate compliance [10].

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To collect repeated real-time accounts while maintaining home data collection, we used

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an SMS text that connected participants to an online survey. The SMS text served as a real-time

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reminder to complete the online survey without the intrusiveness of multiple phone call

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interviews or office evaluation. We describe the feasibility and data collection completion rate

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of using a text message link to an online survey platform as a method of data collection for

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medication abortion.

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2. Materials and Methods We present a secondary analysis of data that was collected as part of a clinical trial at the

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University of Hawaii (Honolulu, Hawaii) exploring pregabalin for pain management with

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mifepristone and buccal misoprostol medication abortion up to 70 days gestation [11]. We

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obtained approval from the University of Hawaii Committee on Human Studies and were

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registered at clinicaltrials.gov (NCT02782169).

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We enrolled women aged 18 years or older with a pregnancy up to and including 70 days

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gestation by ultrasound dating, who were capable and willing to receive cellular phone text

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messages and complete multiple electronic surveys over the 72-hour study period. Exclusion

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criteria included: a contraindication or allergy to ibuprofen, oxycodone, acetaminophen, or

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pregabalin; alternative methods of misoprostol use (i.e. vaginal administration or use in less than

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24 hours); inability to speak or read English; and participation in the same trial during a prior

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pregnancy. Patients were approached for study participation after they were consented to the

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medication abortion and took the mifepristone with their provider in the office.

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Participants took misoprostol at home 24 to 48 hours after the mifepristone, according to

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study protocol. While the participant was in the office, a research assistant used the designated

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study phone to send an SMS text to confirm their ability to receive messages. Participants each

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chose a time to take the misoprostol and the research assistant programmed a text message with a

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link to the first online survey at that time. If the participant took the misoprostol at a different

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time, the research assistant instructed her to access the survey via a URL address and QR code

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printed on the misoprostol package, directing her to the first survey.

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We sent SMS text prompt links to surveys at six specified points over 72 hours following

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misoprostol administration (0-, 2-, 6-, 12-, 24-, and 72-hours) to assess current pain on an 11-

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point numerical rating scale (NRS), maximum pain and the time it occurred, analgesic tablets

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taken, adverse effects (checklist including a space for free text), and satisfaction with the

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abortion and the pain control (5-point Likert scale) (Appendix A). All survey responses were

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identifiable by participant identification number, and were electronically time-stamped at

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submission. Each survey had a title that designated which survey number it was, though other

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questions remained identical. Satisfaction scores were only assessed at the 24-hour survey.

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During enrollment, the research assistant reviewed a chart of the times that participants could

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expect to receive prompts to complete surveys depending on the time that they chose to take the

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misoprostol (start time). We reviewed that taking the misoprostol at 09:00 start time would

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avoid early morning or late night disturbances; however, participants could elect to start at any

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time that suited them.

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We used a secure cellular phone, dedicated to this trial and held by an investigator, to

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send all SMS text prompts and make study-related calls. The automated SMS prompts were

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scheduled through the Android application “SMS Scheduler” (Ulka International). The SMS text

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provided a link to an online survey where participants could enter information without storing

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any data on their phones. Participants entered their identification number and a code word of

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their choosing, for double identification in case of a forgotten or incorrect identification number,

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into the online survey. We did not collect protected health information in the survey.

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We programmed each survey to be prompted by SMS text at a specified time, and time

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stamps were collected on each survey response. The study phone was alerted when the first

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survey was completed, allowing the investigator to change the timing of subsequent surveys if

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the participant chose a different time to take the misoprostol. Surveys were considered on-time

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if they were received within two hours of when the text message was sent. Two hours was

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designated as late because that was the shortest time interval between surveys. We sent text

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messages at two and six hours if participants did not provide survey responses. We called

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participants after 24 hours of the study period and sent an e-mail after 72 hours to request a

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retrospective report if no responses were received. We included all survey responses in the

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analysis, whether on-time or late. Surveys were defined as missing if no response was received

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by four hours after the 72-hour reminder e-mail was sent. Participants received an electronic gift

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card at the end of the study period corresponding to how many surveys they responded to, with a

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bonus for completing all six surveys.

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Our primary outcome was the proportion of all SMS text messages sent for which a

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survey response was received. Secondary outcomes included the proportion of participants

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responding to all six surveys, how often surveys were completed late (received more than 2

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hours after the text was sent), and whether response rates differed by time of day the abortion

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began (before or after noon) or time the survey was requested (by two-hour intervals). This is a

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descriptive analysis, and no statistical comparisons were made.

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3. Results

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From June 2015 to October 2016, we screened 241 women for inclusion, and excluded

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three women (1.2%) due to lack of access to a cellular phone with text messaging and Internet

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capability. Forty-nine additional women did not meet the inclusion criteria, and 79 declined

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participation [11]. We enrolled and randomized 110 women. Table 1 describes the

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demographics of the study population (n=110).

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Of 660 survey prompts sent, participants responded to 633 (95.9%). One hundred and

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three (93.6%) participants completed all six surveys. Three participants (2.7%) were lost to

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follow-up after enrollment. Without these participants, the overall response rate was 98.6%

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(633/642 surveys returned), with all six surveys returned by 96.3% (103/107) of participants.

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Two (1.8%) completed five out of six surveys, one (0.9%) completed four surveys, and one

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(0.9%) completed one survey.

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Participants answered 511 of 660 surveys (77.4%) within two hours of receiving the text message prompt. We received 122 surveys (18.5%) more than two hours late. We did not receive

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a response for 27 surveys (4.1%). All survey responses were submitted consecutively, confirmed

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by time stamp at response. Figure 1 shows the response rate to each survey.

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To examine whether time of day the abortion started impacted response rates, we

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examined on-time responses to each survey depending on whether the misoprostol (survey start)

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was taken in the morning or after noon, including participants that did not respond to each survey

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(Figure 2). Fifty-one participants started in the morning, and 46 started after noon. Morning

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start surveys had fairly consistent on-time responses to all surveys (82.4-92%). Afternoon and

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evening start times had on-time responses of 54.5-87.3%. Both start times had the lowest on-

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time response rates for the 12-hour survey.

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To examine if the time of day that each survey was requested (separate from the study

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start time) significantly impacted response rates, we evaluated the number and percentage of late

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responses throughout the day in two-hour intervals (Figure 3). When participants received SMS

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texts in the daytime and evening, from 08:00 to midnight, 15.5% of survey responses had times

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stamps more than two hours later than the prompt (range 7.1-22.2%). We observed the highest

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proportion of late survey responses (46.6%) when the prompts arrived in the late-night hours of

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midnight to 08:00, ranging from 27.3% (06:00 to 08:00) to 70% (02:00 to 04:00).

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4. Discussion The validity and generalizability of any study is dependent on loss to follow up and

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response rates. Minimizing loss to follow up and achieving a high response rate can be

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challenging when data collection occurs outside of a health care facility and requires multiple

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responses at different time points. We demonstrated that using SMS text messaging linked to an

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online survey resulted in a low loss to follow up and an excellent response rate, even with serial

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surveys over a three-day period involving sensitive subject matter.

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Prior studies have characterized pain during medication abortion in an inpatient setting

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[5-8]. Many women choose a medication abortion because they prefer to end the pregnancy at

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home; thus, the inpatient study setting may not be representative of the typical in-home

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experience. In our study, we had excellent response rates for in-home data collection using an

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SMS text message prompt to an online survey.

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This methodology has the advantage of additional confidentiality for participants,

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allowing them to use a secure online platform instead of direct submission via text message.

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SMS text message responses alone would require multiple messages at each time point to collect

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such a large amount of data, which is not as desirable for participants, and would not be feasible

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to program electronically in advance to allow time for each response.

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Examination of the times that the surveys were returned provides guidance for future

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studies using this method of data collection. We received the highest proportion of late survey

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responses when we requested responses between midnight and 08:00. To optimize response

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rates, investigators may consider avoiding data collection at these times.

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In order to accommodate participant’s choice in timing misoprostol, we did not have

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standardized timing of the text messages. This methodology allowed us to make observations of

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differences depending on time of day. When the survey time fell during the early morning hours,

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we obtained fewer on-time responses. We also allowed participants to take misoprostol at a time

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different from the time they planned for at enrollment, and the investigator holding the study

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phone made adjustments to the schedule of subsequent surveys once the first response was

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received. This is a limitation, as it may not be easily duplicated in a larger scale trial.

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Only three women out of 241 screened (1.2%) were excluded from study participation

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because they did not have a phone with text messaging and Internet capabilities, suggesting this

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method of data collection is accessible to most reproductive age women. According to the

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Nielsen Mobile Consumer Report 2013, 94% of consumers aged 16 or over in the United States

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used a mobile phone [12]. This may have contributed to our high response rates, as more people

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are using phones throughout the day for multiple tasks, and are less likely to miss a text message

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prompt. Of note, the timeliness and completeness of survey responses may vary among

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individuals who are less accustomed to text messaging or online survey submission.

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SMS text message prompts that link to an online survey platform yielded high timely

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response rates in a population of women submitting longitudinal data on pain and use of

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analgesics. Investigators may consider this method for collecting repeated measures in other

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study settings.

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Acknowledgements: Thanks to Katelyn Stevens, MSHS, PA-C and Chelsea Yin, BS for their

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contributions to this work as study coordinators.

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This work was supported by the Society of Family Planning Research Fund [grant number

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SFPRF15-12].

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Figures:

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Figure 1: Percentage of survey responses received on-time, over two hours late, or not at all, at 0-

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, 2-, 6-, 12-, 24-, and 72-hours after misoprostol administration in women undergoing medication

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abortion at the University of Hawaii.

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Figure 2: Percentage of survey responses received on-time at 0-, 2-, 6-, 12-, 24-, and 72-hours

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after misoprostol administration in women undergoing medication abortion at the University of

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Hawaii, depending on whether the misoprostol was taken before or after 12:00.

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Figure 3: Number of survey responses received on-time, over two hours late, or not at all, in

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women undergoing medication abortion at the University of Hawaii, depending on the time the

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survey was requested (in two hour intervals).

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Tables:

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Table 1: Characteristics of women participating in a study of medication abortion at the

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University of Hawaii.

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Appendices:

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Appendix A: Sample of survey received at two hours after misoprostol administration for women

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participating in a study on medication abortion at the University of Hawaii.

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http://goo.gl/forms/Hel52TZlZw

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