Use of a mobile app to capture supplemental health information during pregnancy: Implications for clinical research
dc.contributor.author | Rothschild, Claire W. | |
dc.contributor.author | Dublin, Sascha | |
dc.contributor.author | Brown, Jeffrey S. | |
dc.contributor.author | Klasnja, Predrag | |
dc.contributor.author | Herzig-Marx, Chayim | |
dc.contributor.author | Reynolds, Juliane S. | |
dc.contributor.author | Wyner, Zachary | |
dc.contributor.author | Chambers, Christina | |
dc.contributor.author | Martin, David | |
dc.date.accessioned | 2022-01-06T15:51:00Z | |
dc.date.available | 2023-02-06 10:50:59 | en |
dc.date.available | 2022-01-06T15:51:00Z | |
dc.date.issued | 2022-01 | |
dc.identifier.citation | Rothschild, Claire W.; Dublin, Sascha; Brown, Jeffrey S.; Klasnja, Predrag; Herzig-Marx, Chayim ; Reynolds, Juliane S.; Wyner, Zachary; Chambers, Christina; Martin, David (2022). "Use of a mobile app to capture supplemental health information during pregnancy: Implications for clinical research." Pharmacoepidemiology and Drug Safety 31(1): 37-45. | |
dc.identifier.issn | 1053-8569 | |
dc.identifier.issn | 1099-1557 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/171216 | |
dc.description.abstract | PurposeMobile applications (- apps- ) may be efficient tools for improving the quality of clinical research among pregnant women, but evidence is sparse. We assess the feasibility and generalizability of a mobile app for capturing supplemental data during pregnancy.MethodsIn 2017, we conducted a pilot study of the FDA MyStudies mobile app within a pregnant population identified through Kaiser Permanente Washington (KPWA), an integrated healthcare delivery system. We ascertained health conditions, medications, and substance use through app- based questionnaires. In a post- hoc analysis, we utilized electronic health records (EHR) to summarize sociodemographic and health characteristics of pilot participants and, for comparison, a pregnant population identified using similar methods.ResultsSix percent (64/1070) of contacted women enrolled in the pilot study. Nearly half (23/53) reported taking medication for headaches and one- fourth for constipation (13/53) and nausea (12/53) each. Few instances (2/92) of over- the- counter medication use were identified in electronic dispensing records. One- quarter to one- third of participants with depression and anxiety/panic, respectively, reported recently discontinuing medications for these conditions. Eighty- eight percent of pilot participants reported White race (95%CI: 81- 95%), versus 67% of the comparison population (NÂ =Â 2065). More pilot participants filled - ¥1 prescription for antianxiety medication (22% [95%CI: 13- 35%]) and antidepressants (19% [95%CI 10- 31%]) pre- pregnancy than the comparison population (10 and 9%, respectively).ConclusionsMobile apps may be a feasible tool for capturing health data not routinely available in EHR. Pregnant women willing to use a mobile app for research may differ from the general pregnant population, but confirmation is needed. | |
dc.publisher | John Wiley & Sons, Inc. | |
dc.subject.other | patient selection | |
dc.subject.other | pregnancy | |
dc.subject.other | pregnancy research | |
dc.subject.other | cell phone | |
dc.subject.other | data collection | |
dc.subject.other | mobile apps | |
dc.title | Use of a mobile app to capture supplemental health information during pregnancy: Implications for clinical research | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Chemistry | |
dc.subject.hlbsecondlevel | Biological Chemistry | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.subject.hlbtoplevel | Science | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/171216/1/pds5320_am.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/171216/2/pds5320.pdf | |
dc.identifier.doi | 10.1002/pds.5320 | |
dc.identifier.source | Pharmacoepidemiology and Drug Safety | |
dc.identifier.citedreference | Thorpe PG, Gilboa SM, Hernandez- Diaz S, et al. Medications in the first trimester of pregnancy: most common exposures and critical gaps in understanding fetal risk. Pharmacoepidemiol Drug Saf. 2013 Sep; 22 ( 9 ): 1013 - 1018. | |
dc.identifier.citedreference | Goldkind SF, Sahin L, Gallauresi B. Enrolling pregnant women in research- lessons from the H1N1 influenza pandemic. N Engl J Med. 2010; 362 ( 24 ): 2241 - 2243. | |
dc.identifier.citedreference | Thackeray R, Crookston BT, West JH. Correlates of health- related social media use among adults. J Med Internet Res. 2013; 15 ( 1 ): e21. | |
dc.identifier.citedreference | Carroll JK, Moorhead A, Bond R, LeBlanc WG, Petrella RJ, Fiscella K. Who uses Mobile phone health apps and does use matter? A secondary data analytics approach. J Med Internet Res. 2017; 19 ( 4 ): e125. | |
dc.identifier.citedreference | Illoh OA, Toh S, Andrade SE, et al. Utilization of drugs with pregnancy exposure registries during pregnancy. Pharmacoepidemiol Drug Saf. 2018; 27 ( 6 ): 604 - 611. | |
dc.identifier.citedreference | Andrade SE, Gurwitz JH, Davis RL, et al. Prescription drug use in pregnancy. Am J Obstet Gynecol. 2004; 191 ( 2 ): 398 - 407. | |
dc.identifier.citedreference | Task Force on Research Specific to Pregnant Women and Lactating Women. Report Implementation Plan to the Secretary, Health and Human Services, Congress. https://www.nichd.nih.gov/sites/default/files/inline-files/PRGLAC_Implement_Plan_083120.pdf Published 2008. Accessed July 7, 2021. | |
dc.identifier.citedreference | Shortreed SM, Von Korff M, Thielke S, et al. Electronic health records to evaluate and account for non- response bias: a survey of patients using chronic opioid therapy. Observ Stud. 2016; 2: 24 - 38. | |
dc.identifier.citedreference | Wallwiener S, Müller M, Doster A, et al. Pregnancy eHealth and mHealth: user proportions and characteristics of pregnant women using Web- based information sources- a cross- sectional study. Arch Gynecol Obstet. 2016; 294 ( 5 ): 937 - 944. | |
dc.identifier.citedreference | Sarangarm P, Young B, Rayburn W, et al. Agreement between self- report and prescription data in medical records for pregnant women. Birth Defects Res Part A: Clin Mol Teratol. 2012; 94 ( 3 ): 153 - 161. | |
dc.identifier.citedreference | Lupattelli A, Spigset O, Björnsdóttir I, et al. Patterns and factors associated with low adherence to psychotropic medications during pregnancy- a cross- sectional multinational web- based study. Depression Anxiety. 2015; 32 ( 6 ): 426 - 436. | |
dc.identifier.citedreference | Tai B, AT ML. Integrating information on substance use disorders into electronic health record systems. J Subst Abuse Treat. 2012; 43 ( 1 ): 12 - 19. | |
dc.identifier.citedreference | Kebodeaux CD. Prescription and over- the- counter medication record integration: a holistic patient- centered approach. Digital Health. 2019; 59 ( 2 ): S13 - S17. | |
dc.identifier.citedreference | Nielsen MW, Søndergaard B, Kjøller M, Hansen EH. Agreement between self- reported data on medicine use and prescription records vary according to method of analysis and therapeutic group. J Clin Epidemiol. 2008 Sep; 61 ( 9 ): 919 - 924. | |
dc.identifier.citedreference | Sison CP, Glaz J. Simultaneous confidence intervals and sample size determination for multinomial proportions. J Am Stat Assoc. 1995; 90 ( 429 ): 366 - 369. | |
dc.identifier.citedreference | Wyner Z, Dublin S, Chambers C, et al. The FDA MyStudies app: a reusable platform for distributed clinical trials and real- world evidence studies. JAMIA Open. 2020; 3 ( 4 ): 500 - 505. | |
dc.identifier.citedreference | Wyner Z, Dublin S, Reynolds J, et al. The FDA MyStudies App: Patient centered outcomes research trust fund enabler for distributed clinical trials and real world evidence studies: Collection of patient- provided information through a mobile device application for use in comparative effectively and drug safety research; 2018. https://aspe.hhs.gov/system/files/pdf/259016/AppendicesCollectionPatientProvidedInfo.pdf | |
dc.identifier.citedreference | van MMHJ G, PJFM M, van Drongelen J, Swarts JW, van de Belt TH, Roeleveld N. The PRIDE study: evaluation of online methods of data collection. Paediatr Perinatal Epidemiol. 2020; 34 ( 5 ): 484 - 494. | |
dc.identifier.citedreference | Hatch EE, Hahn KA, Wise LA, et al. Evaluation of selection bias in an internet- based study of pregnancy planners. Epidemiology. 2016 Jan; 27 ( 1 ): 98 - 104. | |
dc.identifier.citedreference | Anderson J, Rainie L. Main Findings: Apps vs. Web: Winner?. Washington, D.C.: Pew Research Center; 2012. | |
dc.identifier.citedreference | Radin JM, Steinhubl SR, Su AI, et al. The healthy pregnancy research program: transforming pregnancy research through a ResearchKit app. NPJ Digit Med. 2018; 1: 45. | |
dc.identifier.citedreference | McInerney KA, Hatch EE, Wesselink AK, Rothman KJ, Mikkelsen EM, Wise LA. Preconception use of pain- relievers and time- to- pregnancy: a prospective cohort study. 2017; 32 ( 1 ): 103 - 111. | |
dc.identifier.citedreference | Wise LA, Wesselink AK, Hatch EE, et al. Changes in behavior with increasing pregnancy attempt time: a prospective cohort study. Epidemiology. 2020 Sep; 31 ( 5 ): 659 - 667. | |
dc.identifier.citedreference | Mikkelsen EM, Hatch EE, Wise LA, Rothman KJ, Riis A, Sørensen HT. Cohort profile: the Danish web- based pregnancy planning study- ’Snart- Gravid’. Int J Epidemiol. 2009 Aug; 38 ( 4 ): 938 - 943. | |
dc.identifier.citedreference | Huybrechts KF, Mikkelsen EM, Christensen T, et al. A successful implementation of e- epidemiology: the Danish pregnancy planning study ’Snart- Gravid’. Eur J Epidemiol. 2010; 25 ( 5 ): 297 - 304. | |
dc.identifier.citedreference | Wise LA, Rothman KJ, Mikkelsen EM, et al. Design and conduct of an internet- based preconception cohort study in North America: pregnancy study online. Paediatr Perinat Epidemiol. 2015; 29 ( 4 ): 360 - 371. | |
dc.identifier.citedreference | van Gelder MM, Bretveld RW, Roukema J, et al. Rationale and design of the PRegnancy and infant DEvelopment (PRIDE) study. Paediatr Perinat Epidemiol. 2013; 27 ( 1 ): 34 - 43. | |
dc.identifier.citedreference | Anderson M. Mobile Technology and Home Broadband 2019. Washington, D.C.: Pew Research Center; 2019. | |
dc.identifier.citedreference | Huybrechts KF, Bateman BT, Hernández- DÃaz S. Use of real- world evidence from healthcare utilization data to evaluate drug safety during pregnancy. Pharmacoepidemiol Drug Saf. 2019; 28 ( 7 ): 906 - 922. | |
dc.working.doi | NO | en |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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