Abstract
The use of Information and Communication Technologies (web pages and apps) in mental health has boosted. However, it is unknown which of these two devices can be better in terms of feasibility and acceptability. Our aim is to compare the feasibility, usability, and user satisfaction of two devices (web vs mobile application) of an online program for perinatal depression screening called HappyMom. In total, 348 and 175 perinatal women registered into HappyMom web and app version, respectively. The assessment protocol included different biopsychosocial evaluations (twice during pregnancy and thrice in the postpartum) and a satisfaction questionnaire. Results showed that a higher percentage of women in the web sample (27.3–51.1%) responded to each assessment compared to the app sample (9.1–53.1%). A smaller proportion of women in web sample never responded to any assessments. By contrast, the percentage of women who responded to all assessments was higher in app sample (longitudinal retention sample was 4.6% of web users and 9.1% of app users). In general, high satisfaction was found in both web and app users. Our result showed that online assessment methods are feasible and acceptable by perinatal women. However, dropout rates are a real problem that urge a solution that will be discussed further in the paper. Web and App devices present different advantages and limitations. The choice of one of them must be made taking into account the study’s objective, the sample characteristics, and the dissemination possibilities.
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Notes
- 1.
EPQ-R: Eysenck Personality Questionnaire Revised; STAI-T: State-Trait Anxiety Inventory (trait subscale); ERQ: Emotion Regulation Questionnaire; CAE: Cuestionario de Afrontamiento del Estrés; QLI: Quality of Life Index; SRSS: Social Readjustement Rating Scale.
References
International Telecommunication Union: ICT Facts and Figures (2017). https://www.itu.int/en/ITU-D/Statistics/Pages/facts/default.aspx
Barrera, A.Z., Kelman, A.R., Muñoz, R.F.: Keywords to recruit Spanish- and English-speaking participants: evidence from an online postpartum depression randomized controlled trial. J. Med. Internet Res. 16, e6 (2014)
Haga, S.M., Drozd, F., Brendryen, H., Slinning, K.: Mamma mia: a feasibility study of a web-based intervention to reduce the risk of postpartum depression and enhance subjective well-being. JMIR Res. Protoc. 2, e29 (2013)
Kim, H., Bracha, Y., Tipnis, A.: Automated depression screening in disadvantaged pregnant women in an urban obstetric clinic. Arch. Womens Ment. Health 10, 163–169 (2007)
Donker, T., Cuijpers, P., Stanley, D., Danaher, B.: The future of perinatal depression identification can information and communication technology optimize effectiveness? (2015)
Eurostat: Internet use. Individuals using the Internet for seeking health-related information. http://ec.europa.eu/eurostat/tgm/table.do?tab=table&plugin=1&language=en&pcode=tin00101
Osma, J., Barrera, A.Z., Ramphos, E.: Are pregnant and postpartum women interested in health-related apps? Implications for the prevention of perinatal depression. Cyberpsychol. Behav. Soc. Netw. 19, 412–415 (2016)
Suso-Ribera, C., Castilla, D., Zaragozá, I., Ribera-Canudas, M.V., Botella, C., García-Palacios, A.: Validity, reliability, feasibility, and usefulness of pain monitor, a multidimensional smartphone app for daily monitoring of adults with heterogeneous chronic pain. Clin. J. Pain 34, 900–908 (2018)
Ashford, M.T., Olander, E.K., Ayers, S.: Computer- or web-based interventions for perinatal mental health: a systematic review. J. Affect. Disord. 197, 134–146 (2016)
Bakker, D., Kazantzis, N., Rickwood, D., Rickard, N.: Mental health smartphone apps: review and evidence-based recommendations for future developments. JMIR Ment. Health 3, 67 (2016)
Capon, H., Hall, W., Fry, C., Carter, A.: Realising the technological promise of smartphones in addiction research and treatment: an ethical review. Int. J. Drug Policy 36, 47–57 (2016)
Martínez-Borba, V., Suso-ribera, C., Osma, J.: The use of information and communication technologies in perinatal depression screening. Cyberpsychol. Behav. Soc. Netw. 21, 741–752 (2018)
Pospos, S., et al.: Web-based tools and mobile applications to mitigate burnout, depression, and suicidality among healthcare students and professionals: a systematic review. Acad. Psychiatry 42, 109–120 (2017)
Rathbone, A., Clarry, L., Prescott, J.: Assessing the efficacy of mobile health apps using the basic principles of cognitive behavioral therapy: systematic review. J. Med. Internet Res. 19, e399 (2017)
Richards, D., Richardson, T.: Computer-based psychological treatments for depression: a systematic review and meta-analysis. Clin. Psychol. Rev. 32, 329–342 (2012)
Hamel, C., et al.: Screening for depression in women during pregnancy or the first year postpartum and in the general adult population: a protocol for two systematic reviews to update a guideline of the Canadian Task Force on Preventive Health Care. Syst. Rev. 8, 1–13 (2019)
Barrera, A.Z., Wickham, R.E., Muñoz, R.F.: Online prevention of postpartum depression for Spanish- and English-speaking pregnant women: a pilot randomized controlled trial. Internet Interv. 2, 257–265 (2015)
Danaher, B.G., et al.: MomMoodBooster web-based intervention for postpartum depression: feasibility trial results. J. Med. Internet Res. 15, e242 (2013)
Jones, B.A., Griffiths, K.M., Christensen, H., Ellwood, D., Bennett, K., Bennett, A.: Online cognitive behaviour training for the prevention of postnatal depression in at-risk mothers: a randomised controlled trial protocol. BMC Psychiatry 13, 265 (2013)
Le, H.-N., Perry, D.F., Sheng, X.: Using the internet to screen for postpartum depression. Matern. Child Health J. 13, 213–221 (2009)
O’Mahen, H.A., et al.: Internet-based behavioral activation–treatment for postnatal depression (Netmums): a randomized controlled trial. J. Affect. Disord. 150, 814–822 (2013)
Faherty, L.J., Hantsoo, L., Appleby, D., Sammel, M.D., Bennett, I.M., Wiebe, D.J.: Movement patterns in women at risk for perinatal depression: use of a mood-monitoring mobile application in pregnancy. J. Am. Med. Inform. Assoc. 24, 746–753 (2017)
Jimenez-Serrano, S., Tortajada, S., Miguel Garcia-Gomez, J., Jiménez-Serrano, S., Tortajada, S., García-Gómez, J.M.: A mobile health application to predict postpartum depression based on machine learning. Telemed. E-Health 21, 567–574 (2015)
Belisario, J.S.M., et al.: A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study. BMJ Open 7, e014469 (2017)
Tsai, A.C., et al.: Antenatal depression case finding by community health workers in South Africa: feasibility of a mobile phone application. Arch. Womens Ment. Health. 17, 423–431 (2014)
Demirci, J., Bogen, D.: Feasibility and acceptability of a mobile app in an ecological momentary assessment of early breastfeeding. Matern. Child Nutr. 13, 1–18 (2017)
Timmer, B.H.B., Hickson, L., Launer, S.: Ecological momentary assessment: Feasibility, construct validity, and future applications. Am. J. Audiol. 26, 436–442 (2017)
Young, A.F., Powers, J.R., Bell, S.L.: Attrition in longitudinal studies: who do you lose? Aust. N. Z. J. Public Health 30, 353–361 (2006)
Karyotaki, E., et al.: Predictors of treatment dropout in self-guided web-based interventions for depression: an ‘individual patient data’ meta-analysis. Psychol. Medici. 45, 2717–2726 (2015)
Christensen, H., Griffiths, K.M., Farrer, L.: Adherence in internet interventions for anxiety and depression. J. Med. Internet Res. 11, e13 (2009)
Becker, S., Miron-Shatz, T., Schumacher, N., Krocza, J., Diamantidis, C., Albrecht, U.-V.: mHealth 2.0: experiences, possibilities, and perspectives. JMIR mHealth uHealth 2, e24 (2014)
Feather, J.S., Howson, M., Ritchie, L., Carter, P.D., Parry, D.T., Koziol-McLain, J.: Evaluation methods for assessing users’ psychological experiences of web-based psychosocial interventions: a systematic review. J. Med. Internet Res. 18, e181 (2016)
Beck, A., Steer, R., Brown, G.: Manual for the Beck Depression Inventory-II. Psychological Corporation, San Antonio (1996)
Sanz, J., Perdigón, A., Vázquez, C.: Adaptación española del Inventario para la Depresión de Beck-II (BDI-II): 2. Propiedades psicométricas en población general. Clin. Salud. 14, 249–280 (2003)
Cox, J.L., Holden, J.M., Sagovsky, R.: Detection of postnatal depression: development of the 10-item edinburgh postnatal depression scale. Br. J. Psychiatry 150, 782–786 (1987)
Garcia-Esteve, L., Ascaso, C., Ojuel, J., Navarro, P.: validation of the Edinburgh Postnatal Depression Scale (EPDS) in Spanish mothers. J. Affect. Disord. 75, 71–76 (2003)
First, M., Spitzer, R., Gibbon, M., Williams, J.: Entrevista Clínica estructurada para los trastornos del Eje II del DSM-IV, Versión Clínica. MASSON, Barcelona (1999)
Eysenck, S.B.G., Eysenck, H.J., Barrett, P.: A revised version of the psychoticism scale. Pers. Individ. Diff. 6, 21–29 (1985)
Ortet, G., Ibáñez, M., Moro, M., Silva, F.: Cuestionario revisado de Personalidad de Eysenck: versiones completa (EPQ‐R) y abreviada (EPQ‐RS), Madrid (2001)
Brown, T.A., White, K.S., Forsyth, J.P., Barlow, D.H.: The structure of perceived emotional control: psychometric properties of a revised anxiety control questionnaire. Behav. Ther. 35, 75–99 (2004)
Osma, J., Barrada, J.R., Garciá-Palacios, A., Navarro-Haro, M., Aguilar, A.: Internal structure and clinical utility of the Anxiety Control Questionnaire-Revised (ACQ-R) Spanish version. Span. J. Psychol. 19, E63 (2016)
Sandín, B., Chorot, P., Lostao, L., Joiner, T.E., Santed, M.A., Valiente, R.M.: Escalas PANAS de afecto positivo y negativo: validacion factorial y convergencia transcultural. Psicothema 11, 37–51 (1999)
Watson, D., Clark, L.A., Tellegen, A.: Development and validation of brief measures of positive and negative affect: the PANAS scales. J. Pers. Soc. Psychol. 54, 1063 (1988)
Morejón, A.J.V., García-Bóveda, R.J., Jiménez, R.V.-M.: Escala de autoestima de Rosenberg: fiabilidad y validez en población clínica española. Apunt. Psicol. 22, 247–255 (2004)
Rosenberg, M.: Society and the Adolescent Self-image. Princeton University Press, Princeton (1965)
Spielberger, C., Cubero, N., Gorsuch, R., Lushene, R.: Cuestionario de ansiedad estado‐rasgo: manual, Madrid (1982)
Spielberger, C.D., Gorsuch, R.L., Lushene, R.E.: The State-Trait Anxiety Inventory. Consulting Psychologists Press Inc., Palo Alto (1970)
Echeburúa, E., de Corral, P., Fernandez-Montalvo, J.: Escala de inadaptación (EI): propiedades psicométricas en contextos clínicos. Anál. Modif. Conduct. 26, 325–340 (2000)
Rodríguez-Carvajal, R., Moreno-Jiménez, B., Garrosa, E.: Cuestionario de regulación emocional. Versión española. Autorizado por los autores de la versión original en inglés (Gross y John, 2003) (2006)
Gross, J., John, O.: Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J. Pers. Soc. Psychol. 85, 348–362 (2003)
Sandín, B., Chorot, P.: Cuestionario de Afrontamiento del Estrés (CAE): Desarrollo y validación preliminar. Rev. Psicopatol. Psicol. Clín. 8, 39–53 (2003)
Mezzich, J., Ruipérez, M., Pérez, C., Yoon, G., Liu, J., Mahmud, S.: The Spanish version of the quality of life index: presentation and validation. J. Nerv. Ment. Dis. 188, 301–305 (2000)
Beck, A., Steer, R.: Manual for the Beck Anxiety Inventory. The Psychological Corporation, San Antonio (1993)
Beck, A., Steer, R.: Manual. BAI. Inventario de Ansiedad de Beck (Adaptación española de Sanz, J.). Pearson Educación, Madrid (2011)
Diener, E., Emmons, R., Larsen, R., Grifin, S.: The satisfaction with life scale. J. Pers. Assess. 49, 71–75 (1985)
Atienza, F.: Escala de Satisfacción con la vida. Psicothema 12, 314–319 (2000)
González de Rivera, J., Morera, A.: La valoración de sucesos vitales: adaptación española de la escala de Holmes y Rahe. Psiquis (Mexico) 4, 7–11 (1983)
Holmes, T.H., Rahe, R.H.: The social readjustment rating scale. J. Psychosom. Res. 11, 213–218 (1967)
Landeta, O., Calvete, E.: Adaptación y validación de la escala multidimensional de apoyo social percibido. Ansiedad Estrés 8, 173–182 (2002)
Zimet, G.D., Dahlem, N.W., Zimet, S.G., Farley, G.K.: The multidimensional scale of perceived social support. J. Pers. Assess. 52, 30–41 (1988)
Carrobles, J.: Adaptación en población española de la Escala de Ajuste Marital de Locke‐Wallace. In: Cáceres Carrasco, J. (ed.) Manual de Terapia de Pareja en Intervención en familias, pp. 105–106 (1989)
Locke, H.J., Wallace, K.M.: Short marital-adjustment and prediction tests: their reliability and validity. Marriage Fam. Living 21, 251–255 (1959)
Rodríguez-Muñoz, M.F., Vallejo Slocker, L., Olivares Crespo, M.E., Izquierdo Méndez, N., Soto, C., Le, H.-N.: Propiedades psicométricas del Postpartum Depression Predictors Iinventory-revised-versión prenatal en una muestra española de mujeres embarazadas. TT - [Psychometric properties of postpartum depression predictors inventory-revised- prenatal version in a sample of Spanish pregnant women]. Rev. Esp. Salud. Publica 91, e1–e8 (2017)
Beck, C., Records, K., Rice, M.: Further development of the postpartum depression predictors inventory-revised. J. Obstet. Gynecol. Neonatal Nurs. 35, 735–745 (2006)
Villarreal, R., Blozis, S.A., Widaman, K.F.: Factorial invariance of a pan-hispanic familism scale. Hisp. J. Behav. Sci. 27, 409–425 (2005)
Lane, T.S., Armin, J., Gordon, J.S.: Online recruitment methods for web-based and mobile health studies: a review of the literature. J. Med. Internet Res. 17, e183 (2015)
Logsdon, M.C., Foltz, M.P., Stein, B., Usui, W., Josephson, A.: Adapting and testing telephone-based depression care management intervention for adolescent mothers. Arch. Womens Ment. Health 13, 307–317 (2010)
Baker-Ericzén, M.J., Connelly, C.D., Hazen, A.L., Dueñas, C., Landsverk, J.A., Horwitz, S.M.: A collaborative care telemedicine intervention to overcome treatment barriers for Latina women with depression during the perinatal period. Fam. Syst. Health 30, 224–240 (2012)
Fernández, M.: Herramienta metodológica para la evaluación de contenidos digitales para las gestantes. Interv. Eval. Matronas Hoy 3, 14–25 (2015)
Maloni, J.A., Przeworski, A., Damato, E.G.: Web recruitment and internet use and preferences reported by women with postpartum depression after pregnancy complications. Arch. Psychiatr. Nurs. 27, 90–95 (2013)
Hantsoo, L., Podcasy, J., Sammel, M., Epperson, C.N., Kim, D.R.: Pregnancy and the acceptability of computer-based versus traditional mental health treatments. J. Womens Health (Larchmt) 26, 1106–1113 (2017)
Kim, H.G., Geppert, J., Quan, T., Bracha, Y., Lupo, V., Cutts, D.B.: Screening for postpartum depression among low-income mothers using an interactive voice response system. Matern. Child Health J. 16, 921–928 (2012)
Miller, L., Shade, M., Vasireddy, V.: Beyond screening: assessment of perinatal depression in a perinatal care setting. Arch. Womens Ment. Health 12, 329–334 (2009)
Kingston, D., et al.: Study protocol for a randomized, controlled, superiority trial comparing the clinical and cost-effectiveness of integrated online mental health assessment-referral-care in pregnancy to usual prenatal care on prenatal and postnatal mental health and infant. Trials 15 (2014)
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Martínez-Borba, V., Suso-Ribera, C., Osma, J. (2019). Usability, Acceptability, and Feasibility of Two Technology-Based Devices for Mental Health Screening in Perinatal Care: A Comparison of Web Versus App. In: Cipresso, P., Serino, S., Villani, D. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 288. Springer, Cham. https://doi.org/10.1007/978-3-030-25872-6_14
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