Carissoli et al. (2017)3030 Carissoli C, Villani D, Gasparri D, Riva G. Enhancing psychological wellbeing of women approaching the childbirth: a controlled study with a mobile application. Annu Rev Cybertherapy Telemed. 2017;15:45–50
|
Longitudinal |
Italian women, primiparous and in the third trimester of pregnancy |
78 |
BenEssere Mamma is a mobile app consisting of a four-week pregnancy wellness self-help program. The app includes an experimental area with a set of daily relaxation exercises and guided imagery exercises and an emotional awareness area with a mood diary in which the user can record notes about her emotional state, thoughts and events that happen during the session. |
Carissoli et al. (2016)1313 Carissoli C, Villani D, Triberti S, Riva G. User experience of BenEssere Mamma, a pregnancy app for women wellbeing. Annu Rev CyberTher Telemed.. 2016;14:195–198
|
Longitudinal |
women who participate in an aquatic gymnastics course for pregnant women, being over 18 years of age in low-risk pregnancies. |
12 |
BenEssere Mamma is a mobile app consisting of a four-week pregnancy wellness self-help program. The app includes an experimental area with a set of daily relaxation exercises and guided imagery exercises and an emotional awareness area. |
Davis et al. (2014)1414 Davis AM, Wambach KA, Nelson EL, et al. Health behavior change in pregnant women: a two-phase study. Telemed J E Health. 2014; 20(12):1165–1169. Doi: 10.1089/tmj.2013.0374 https://doi.org/10.1089/tmj.2013.0374...
|
Longitudinal |
Study 1 and 2: Pregnant women attending appointments at the Obstetrics and Gynecology Clinic at the University of Kansas Medical Center |
Study 1: 68; Study 2: 5 |
daily text messages (a total of five text messages per week, successively focused on one of three health topics) and three 20-minute voice-over-PowerPoints |
Oyeyemi and Wynn (2015)1717 Oyeyemi SO, Wynn R. The use of cell phones and radio communication systems to reduce delays in getting help for pregnant women in low- and middle-income countries: a scoping review. Glob Health Action. 2015;8:28887. Doi: 10.3402/gha.v8.28887 https://doi.org/10.3402/gha.v8.28887...
|
Revision |
Healthy pregnant women in Bangkok, Thailand |
68 |
Simple use of cell phones or radio communication to either make calls or send text messages/short message services (SMS) |
Dalton et al. (2018)3131 Dalton JA, Rodger D, Wilmore M, et al. The Health-e Babies App for antenatal education: Feasibility for socially disadvantaged women. PLoS One. 2018;13(05):e0194337. Doi: 10.1371/journal. pone.0194337 https://doi.org/10.1371/journal.pone.019...
|
Cross-sectional |
Pregnant women between 10 and 14 weeks |
124 |
Focus groups with pregnant women to define the information needed in the app, in terms of design, literature, content and usability. Control group and later the experimental group. |
Chilelli et al. (2014)1515 Chilelli NC, Dalfrà MG, Lapolla A. The emerging role of telemedicine in managing glycemic control and psychobehavioral aspects of pregnancy complicated by diabetes. Int J Telemed Appl. 2014; 2014:621384. Doi: 10.1155/2014/621384 https://doi.org/10.1155/2014/621384...
|
Theoretical study Revision |
Theoretical study of Telemedicine for the care of gestational risk caused by diabetes |
n/a |
Telemedicine has the potential to revolutionize current methods to manage pregnancy complicated by diabetes, bringing benefits to both patients and healthcare |
Whittaker et al. (2012)3232 Whittaker R, Matoff-Stepp S, Meehan J, et al. Text4baby: development and implementation of a national text messaging health information service. Am J Public Health. 2012;102(12):2207–2213. Doi: 10.2105/AJPH.2012.300736 https://doi.org/10.2105/AJPH.2012.300736...
|
Longitudinal |
Pregnant women and mothers of infants. |
100 |
Analysis with specialists and informal groups with pregnant women to determine the themes. |
Felder et al. (2017)3333 Felder JN, Segal Z, Beck A, et al. An open trial of web-based mindfulness-based cognitive therapy for perinatal women at risk for depressive relapse. Cognit Behav Pract. 2017;24(01):26–37. Doi: 10.1016/j.cbpra.2016.02.002 https://doi.org/10.1016/j.cbpra.2016.02....
|
Longitudinal |
Women at risk of postpartum depression |
123 |
Eight-session Web-based program, with guided mindfulness and yoga practices, cognitive-behavioral strategies, and psychoeducation, consistent with MBCT |
Osma et al. (2016)3434 Osma J, Barrera AZ, Ramphos E. Are pregnant and postpartum women interested in health-related apps? Implications for the prevention of perinatal depression. Cyberpsychol Behav Soc Netw. 2016;19(06):412–415. Doi: 10.1089/cyber.2015.0549 https://doi.org/10.1089/cyber.2015.0549...
|
Cross-sectional |
English and Spanish speaking women, currently pregnant or within 1 year of giving birth |
509 |
Anonymous online survey to assess access to Information and Communication Technology tools, examine the frequency of searching for health information through online and mobile methods, and identify behaviors related to the access of pregnant and postpartum women to health-related applications. |
Forsell et al. (2017)2121 Forsell E, Bendix M, Holländare F, et al. Internet delivered cognitive behavior therapy for antenatal depression: A randomised controlled trial. J Affect Disord. 2017;221:56–64. Doi: 10.1016/j. jad.2017.06.013 https://doi.org/10.1016/j. jad.2017.06.0...
|
Longitudinal |
Pregnant women, with a gestational age between 12-28 weeks and with major depression |
42 |
A modified version of an existing online CBT model was added/adapted to questions closer to the relationship between depression and pregnancy |
Nair et al. (2018)2222 Nair U, Armfield NR, Chatfield MD, Edirippulige S. The effectiveness of telemedicine interventions to address maternal depression: A systematic review and meta-analysis. J Telemed Telecare. 2018;24(10):639–650. Doi: 10.1177/1357633X18794332 https://doi.org/10.1177/1357633X18794332...
|
Revision |
Studies recruited postnatal, perinatal, prenatal, and postpartum women |
42 to 852 |
Traditional phone calls, email and smartphone apps, websites, and chatrooms. |
Hantsoo et al. (2017)3535 Hantsoo L, Podcasy J, Sammel M, Epperson CN, Kim DR. Pregnancy and the acceptability of computer-based versus traditional mental health treatments. J Womens Health (Larchmt). 2017;26(10): 1106–1113. Doi: 10.1089/jwh.2016.6255 https://doi.org/10.1089/jwh.2016.6255...
|
Cross-sectional |
Pregnant women, non-pregnant women and men |
312 |
TTVideo - Patient conducts psychotherapy sessions with the therapist via a web camera, using video chat technology, rather than participating in in-person sessions at the therapist’s office. TAComp -The patient completes the psychoeducational modules (usually CBT) through a computer interface. This is complemented with brief face-to-face sessions with a therapist. TOSelf-guided - The patient selects and administers an online program without any interaction with a therapist. The patient completes computer-based exercises at home at their own pace. |
Evans et al. (2017)1616 Evans EC, Deutsch NL, Drake E, Bullock L. Nurse-patient interaction as a treatment for antepartum depression: a mixed-methods analysis. J Am Psychiatr Nurses Assoc. 2017;23(05):347–359
|
Longitudinal |
Women who started the study with scores indicative of depression |
318 |
A nurse-delivered telephone support |
Faherty et al. (2017)2323 Faherty LJ, Hantsoo L, Appleby D, Sammel MD, Bennett IM, Wiebe DJ. Movement patterns in women at risk for perinatal depression: use of a mood-monitoring mobile application in pregnancy. J Am Med Inform Assoc. 2017;24(04):746–753. Doi: 10.1093/jamia/ocx005 https://doi.org/10.1093/jamia/ocx005...
|
Longitudinal |
Women attending antenatal care at an obstetric clinic affiliated with an urban teaching hospital, serving predominantly minority, racial and ethnic backgrounds, where patients are routinely screened for perinatal depression |
36 |
An application administered by daily surveys (2 questions) and weekly (PHQ-9 and GAD-7). The app measured daily mobility (distance traveled on foot) and travel radius. |
Kingston et al. (2017)3636 Kingston D, Austin MP, Veldhuyzen van Zanten S, et al. Pregnant women’s views on the feasibility and acceptability of web-based mental health e-screening versus paper-based screening: a randomized controlled trial. J Med Internet Res. 2017;19(04):e88. Doi: 10.2196/jmir.6866 https://doi.org/10.2196/jmir.6866...
|
Cross-sectional |
Pregnant women |
636 |
A web-based automated electronic screening intervention group and a paper-based control group |
Bischoff et al. (2019)3737 Bischoff M, Howland V, Klinger-König J, et al. Save the children by treating their mothers (PriVileG-M-study) - study protocol: a sequentially randomized controlled trial of individualized psychotherapy and telemedicine to reduce mental stress in pregnant women and young mothers and to improve Child’s health. BMC Psychiatry. 2019;19(01):371. Doi: 10.1186/s12888-019-2279-0 https://doi.org/10.1186/s12888-019-2279-...
|
Longitudinal |
Pregnant women at the end of the second trimester with of without a psychiatric diagnose. |
240 |
Phone calls and messages from nurses to women who have had a group CBT intervention |
Gureje et al. (2015)3838 Gureje O, Oladeji BD, Araya R, et al. Expanding care for perinatal women with depression (EXPONATE): study protocol for a randomized controlled trial of an intervention package for perinatal depression in primary care. BMC Psychiatry. 2015;15:136. Doi: 10.1186/s12888-015-0537-3 https://doi.org/10.1186/s12888-015-0537-...
|
Longitudinal |
Pregnant women with a gestational age between 16 and 28 weeks who tested positive on the Edinburgh Postnatal Depression Scale (EPDS score ≥ 12) |
686 |
Clinical support and supervision, provided mainly by mobile phone, were provided by general practitioners and psychiatrists. Automated text voice messages, also delivered by cell phones, were used to facilitate patient adherence to clinical appointments and ’homework’ tasks. |
Green et al. (2019)2424 Green EP, Pearson N, Rajasekharan S, et al. Expanding access to depression treatment in Kenya through automated psychological support: protocol for a single-case experimental design pilot study. JMIR Res Protoc. 2019;8(04):e11800. Doi: 10.2196/11800 https://doi.org/10.2196/11800...
|
Longitudinal |
Pregnant women |
10 |
Healthy Moms, uses an existing artificial intelligence system called Tess (Zuri in Kenya) to conduct conversations with users. It works by engaging a patient in a conversation through a variety of trusted channels, including text messages (SMS). |
Lee et al. (2016)2525 Lee SH, Nurmatov UB, Nwaru BI, Mukherjee M, Grant L, Pagliari C. Effectiveness of mHealth interventions for maternal, newborn and child health in low- and middle-income countries: Systematic review and meta-analysis. J Glob Health. 2016;6(01):010401. Doi: 10.7189/jogh.06.010401 https://doi.org/10.7189/jogh.06.010401...
|
Revision |
Pregnant women |
n/a |
Health information via SMS, psychological intervention, and personalized exercises via audio recordings |
Scherer et al. (2014)3939 Scherer S, Urech C, Hösli I, et al. Internet-based stress management for women with preterm labour–a case-based experience report. Arch Women Ment Health. 2014;17(06):593–600. Doi: 10.1007/s00737-014-0454-3 https://doi.org/10.1007/s00737-014-0454-...
|
Longitudinal |
Pregnant women between 18 and 32 weeks of gestation diagnosed with preterm delivery |
1 |
An online self-help program for managing anxiety and stress for pregnant women with preterm labor |
Gilbert et al. (2015)4040 Gilbert J, Schnoll R, Morrison MF, et al. Smoking and cellular telephone use among pregnant women seeking prenatal care: opportunities for intervention. Addict Disord Their Treat. 2015;14 (04):203–210. Doi: 10.1097/ADT.0000000000000053 https://doi.org/10.1097/ADT.000000000000...
|
Longitudinal |
Minority pregnant women |
724 |
A smoking cessation program using a cell phone intervention through text messaging and medication use |
van den Heuvel et al. (2018)4141 van den Heuvel JF, Groenhof TK, Veerbeek JH, et al. eHealth as the next-generation perinatal care: an overview of the literature. J Med Internet Res. 2018;20(06):e202. Doi: 10.2196/jmir.9262 https://doi.org/10.2196/jmir.9262...
|
Revision |
Studies reporting the use of eHealth during prenatal, perinatal, and postnatal care |
1 to 1880 |
eHealth information and use, lifestyle, pregnancy risk, mental health, telemonitoring and teleconsultation. |
Halili et al. (2018)4242 Halili L, Liu R, Hutchinson KA, Semeniuk K, Redman LM, Adamo KB. Development and pilot evaluation of a pregnancy-specific mobile health tool: a qualitative investigation of SmartMoms Canada. BMC Med Inform Decis Mak. 2018;18(01):95. Doi: 10.1186/s12911-018-0705-8 https://doi.org/10.1186/s12911-018-0705-...
|
Cross-sectional |
Women who were pregnant or gave birth to a baby within six months of the first scheduled focus group |
13 |
The app includes syncing with a newer © Fitbit device, the Charge 2 fitness tracker, which offers sleep, exercise, and diet tracking, as well as daily step counts, as well as mental health and mindfulness techniques that are complemented by content from the application. |
Fantinelli et al. (2019)4343 Fantinelli S, Marchetti D, Verrocchio MC, Franzago M, Fulcheri M, Vitacolonna E. Assessment of psychological dimensions in telemedicine care for gestational diabetes mellitus: a systematic review of qualitative and quantitative studies. Front Psychol. 2019;10:153–168. Doi: 10.3389/fpsyg.2019.00153 https://doi.org/10.3389/fpsyg.2019.00153...
|
Revision |
Telemedicine for Gestational Diabetes Mellitus: an assessment of the psychological dimensions |
13 |
Telemedicine |
Hantsoo et al. (2018)4444 Hantsoo L, Criniti S, Khan A, et al. A mobile application for monitoring and management of depressed mood in a vulnerable pregnant population. Psychiatr Serv. 2018;69(01):104–107. Doi: 10.1176/appi.ps.201600582 https://doi.org/10.1176/appi.ps.20160058...
|
Longitudinal |
Pregnant women with depressive symptoms (PHQ-9 ≥ 5) at < 32 weeks of gestation |
72 |
A mood tracking and alerting mobile app to improve mental health care delivery in a high-risk obstetric population. |
Sondaal et al. (2016)2020 Sondaal SF, Browne JL, Amoakoh-Coleman M, et al. Assessing the effect of mHealth interventions in improving maternal and neonatal care in low and middle-income countries: a systematic review. PLoS One. 2016;11(05):e0154664
|
Cross-sectional |
1) Pregnant women 2) Pregnant women with HIV |
1) 61 2) 40 |
Unidirectional text messaging |
Snaith et al. (2014)4545 Snaith VJ, Hewison J, Steen IN, Robson SC. Antenatal telephone support intervention with and without uterine artery Doppler screening for low risk nulliparous women: a randomised controlled trial. BMC Pregnancy Childbirth. 2014;14:121. Doi: 10.1186/1471-2393-14-121 https://doi.org/10.1186/1471-2393-14-121...
|
Longitudinal |
Low-risk nulliparous pregnant women |
840 |
The women received a telephone support intervention |