This study investigated the association between formal features, such as text volume, session length and duration, response latency, and waiting time, and the impact of counseling. The analysis was based on 603 text message counseling sessions at a child helpline and connected information about the formal features of the sessions and the effects on clients. The results showed that sessions characterized by more text volume from the counselor in each message, but with fewer messages from beginning to end, were more effective than sessions without these characteristics. Furthermore, session duration was associated with a positive impact, whereas counselor response latency was not. This indicates that clients might benefit from the asynchronous affordance of texting as long as the counselor responds promptly and with dense messages. We also found that the impact measured at end of session predicted the impact measured 2 weeks after the child or young person received counseling.
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References
1.
The United Nations. (1989) Convention on the rights of the child. Treaty Series, Vol. 1577. New York: The United Nations, p. 3.
2.
European Commission. (2015) 9th European forum on the rights of the child - coordination and cooperation in integrated child protection systems. Reflection paper. http://ec.europa.eu/justice/fundamental-rights/files/2015_forum_roc_background_en.pdf (accessed Oct.15, 2016).
3.
Child Helpline International. (2017) We listen to the voices of children and young people. https://www.childhelplineinternational.org/wp-content/uploads/2017/11/WeListen.pdf (accessed July15, 2018).
4.
NeuendorfKA. (2002) The content analysis guidebook. California: SAGE Publications.
5.
AnderssonK, OsvaldssonK. (2012) Utvärdering av BRIS Internetbaserade stödkontakter [Evaluation of BRIS Internet-based support contacts]. Research report on childhood and the study of children. Sweden: University of Linköping.
6.
FukkinkRG, HermannsJMA. Children's experiences with chat support and telephone support. Journal of Child Psychology and Psychiatry, 2009; 50:759–766.
7.
FukkinkR, HermannsJ. Counseling children at a helpline: chatting or calling?. Journal of Community Psychology, 2009; 37:939–948.
8.
KingR, BamblingM, ReidW, et al.Telephone and online counselling for young people: a naturalistic comparison of session outcome, session impact and therapeutic alliance. Counselling and Psychotherapy Research, 2006; 6:175–181.
9.
SpohrSA, NandyR, GandhirajD, et al.Efficacy of SMS text message interventions for smoking cessation: a meta-analysis. Journal of Substance Abuse Treatment, 2015; 56:1–10.
10.
CastelnuovoG, GaggioliA, MantovaniF, et al.From psychotherapy to e-therapy: the integration of traditional techniques and new communication tools in clinical settings. Cyberpsychology & Behavior, 2003; 6:375–382.
11.
FrehnerC. (2008) Email, SMS, MMS, the linguistic creativity of asynchronous discourse in the new media age. Linguistic insights, Vol. 58. Bern New York: Peter Lang.
12.
HellesR. (2009) Personlige medier i hverdagslivet [Personal medias in everyday life]. Copenhagen: Faculty of Humanities, University of Copenhagen.
13.
SindahlT. (2013) Chat counselling for children and youth—a handbook. Amsterdam: Child Helpline International.
14.
SulerJ. Psychotherapy in cyberspace: a 5-dimensional model of online and computer-mediated psychotherapy. Cyberpsychology & Behavior, 2000; 3:151–159.
15.
GoumiA, Volckaert-LegrierO, Bert-ErboulA, et al.SMS length and function: a comparative study of 13- to 18-year-old girls and boys. (Report). Revue Europeenne De Psychologie Appliquee, 2011; 4:175.
16.
DanbyS, ButlerC, EmmisonM. When ‘listeners can't talk’: comparing active listening in opening sequences of telephone and online counseling. Australian Journal of Communication, 2009; 2:1–23.
17.
BamblingM, KingR, ReidW, et al.Online counselling: the experience of counsellors providing synchronous single-session counselling to young people. Counselling and Psychotherapy Research, 2008; 8:110–116.
18.
ReidW, CaswellD. (2005) A national telephone and online counselling service for young Australians. In BatchJ, WoottonR, eds. Telepediatrics: telemedicine and child health. London: Royal Society of Medicine Press, pp. 169–187.
19.
SchalkenF, ed. (2008) Handbook for implementing online counselling—setting up a child helpline via the Internet. Amsterdam: Child Helpline International.
20.
TidwellLC, WaltherJB. Computer-mediated communication effects on disclosure, impressions, and interpersonal evaluations: getting to know one another a bit at a time. Human Communication Research, 2002; 28:317–348.
21.
KingR, BamblingM, LloydC, et al.Online counselling: the motives and experiences of young people who choose the Internet instead of face to face or telephone counselling. Counselling and Psychotherapy Research, 2006; 3:169–174.
22.
ParkE, SundarS. Can synchronicity and visual modality enhance social presence in mobile messaging?. Computers in Human Behavior, 2015; 45:121–128.
23.
CarmonZ, ShanthikumarJG, CarmonTF. A psychological perspective on service segmentation models: the significance of accounting for consumers' perceptions of waiting and service. Management Science, 1995; 11:1806–1815.
24.
MattilaA, MountD. The impact of selected customer characteristics and response time on E-complaint satisfaction and return intent. International Journal of Hospitality Management, 2003; 2:135–145.
25.
van DolenWM, WeinbergC, MaL. (2016) Are you listening? An empirical investigation of an IT-mediated helpline. Presented at the 14th International Research Conference in Service Management, La Londe les Maures, France.
26.
FukkinkR. Peer counseling in an online chat service: a content analysis of social support. Cyberpsychology, Behavior and Social Networking, 2011; 14:247–251.
27.
MisharaB, DaigleM. Effects of different telephone intervention styles with suicidal callers at two suicide prevention centers: an empirical investigation. American Journal of Community Psychology, 1997; 25:861–885.
28.
MisharaB, ChagnonF, DaigleM, et al.Which helper behaviors and intervention styles are related to better short-term outcomes in telephone crisis intervention? Results from a silent monitoring study of calls to the U.S. 1–800-SUICIDE Network. Suicide and Life-Threatening Behavior, 2007; 37:308–321.
29.
MisharaBL, CôtéLP. (2014) Suicide prevention and new technologies: towards evidence based practice. In MisharaBL, KerkhofAJK, eds. Suicide prevention and new technologies—evidence based practice. UK: Palgrave Macmillan, pp. 1–23.
30.
ElliottR, WexlerMM. Measuring the impact of sessions in process-experiential therapy of depression: the session impacts scale. Journal of Counseling Psychology, 1994; 2:166–174.
31.
RiemerM, KearnsMA. Description and psychometric evaluation of the Youth Counseling Impact Scale. Psychological Assessment, 2010; 22:259–268.
de LeeuwED. (2011) Improving data quality when surveying children and adolescents: cognitive and social development and its role in questionnaire construction and pretesting. Utrecht, the Netherlands: Utrecht University. www.aka.fi/globalassets/awanhat/documents/tiedostot/lapset/presentations-of-the-annual-seminar-10-12-may-2011/surveying-children-and-adolescents_de-leeuw.pdf (accessed Dec.10, 2017).
34.
ByrneB. (2012) Structural equation modeling with Mplus, basic concepts, applications, and programming. Multivariate applications series. New York, N.Y: Routledge.
35.
HuL, BentlerPM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 1999; 1:1–55.
36.
WestlandJ. (2015) Structural equation models, from paths to networks. Studies in systems, decision and control. Cham: Springer.
37.
KingR, NurcombeB, BickmanL, et al.Telephone counselling for adolescent suicide prevention: changes in suicidality and mental state from beginning to end of a counselling session. Suicide & Life-threatening Behavior, 2003; 33:400–411.
38.
van DolenWM, WeinbergC. Child helplines: how social support and controllability influence service quality and well-being. Journal of Services Marketing, 2017; 31:385–396.
39.
PowellP, RobertsJ. Situational determinants of cognitive, affective, and compassionate empathy in naturalistic digital interactions. Computers in Human Behavior, 2017; 68:137–148.
40.
WalshE, BrinkerJ. Short and Sweet? Length and informative content of open-ended responses using SMS as a research mode. Journal of Computer-Mediated Communication, 2016; 1:87–100.
41.
GibsonK, CartwrightC. Young people's experiences of mobile phone text counselling: balancing connection and control. Children and Youth Services Review, 2014; 43:96–104.
42.
ThurlowC, BrownA. (2003) Generation txt? The sociolinguistics of young people's text-messaging. Discourse Analysis Online. http://extra.shu.ac.uk/daol/articles/v1/n1/a3/thurlow2002003-01.html (accessed Jan.29, 2018).
43.
HellesR. Hverdagslivets nye medier [New media in everyday life]. Dansk Sociologi, 2011; 21:49–63.
44.
GergenK (2003) Self and community in the new floating worlds. In NyíriK, ed. Mobile democracy, essays on society, self and politics (Communications in the 21st century). Vienna: Passagen Verlag, pp. 103–114.
45.
KalmanY, RavidG, RabanD, et al.Pauses and response latencies: a chronemic analysis of asynchronous CMC. Journal of Computer-Mediated Communication, 2006; 1:1–23.
46.
SeoM, KimJ, YangH. Frequent interaction and fast feedback predict perceived social support: using crawled and self-reported data of Facebook users. Journal of Computer-Mediated Communication, 2016; 4:282–297.
47.
NiederhofferK, PennebakerJ. Linguistic style matching in social interaction. Journal of Language and Social Psychology, 2002; 21:337–360.
48.
HutchbyI. (2001) Conversation and technology: from the telephone to the Internet. Malden, MA: Polity Press.
