Kim Mathiasen
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Explore the profile of Kim Mathiasen including associated specialties, affiliations and a list of published articles.
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29
Citations
355
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Recent Articles
1.
Skaarnes H, Sorensen N, Wisnewski A, Lomholt J, Thastum M, McLellan L, et al.
Trials
. 2024 Oct;
25(1):674.
PMID: 39396991
Background: Anxiety disorders are among the most prevalent mental health concerns affecting children and adolescents. Despite their high prevalence, statistics indicate that fewer than 25% of individuals in this demographic...
2.
Maekawa E, Jensen E, Van de Ven P, Mathiasen K
Front Psychiatry
. 2024 Sep;
15:1422587.
PMID: 39290309
Context: This study proposes a Bayesian network model to aid mental health specialists making data-driven decisions on suitable treatments. The aim is to create a probabilistic machine learning model to...
3.
Doukani A, Quartagno M, Sera F, Free C, Kakuma R, Riper H, et al.
J Med Internet Res
. 2024 May;
26:e47515.
PMID: 38819882
Background: Increasing interest has centered on the psychotherapeutic working alliance as a means of understanding clinical change in digital mental health interventions in recent years. However, little is understood about...
4.
Andersen C, Mathiesen A, Pouwer F, Mouritsen J, Mathiasen K, Rothmann M
BMJ Open
. 2023 Nov;
13(11):e074015.
PMID: 37977858
Introduction: Diabetes distress has been defined as "the negative emotional or affective experience resulting from the challenge of living with the demands of diabetes". Diabetes distress affects 20%-25% of individuals...
5.
Mathiasen K, Holmberg Sainte-Marie T, Skaarnes H, Jensen E, Vis C, Tarp K
Front Digit Health
. 2023 Jul;
5:1128893.
PMID: 37501814
Introduction: The ItFits implementation toolkit was developed as part of the ImpleMentAll EU Project, to help guide implementation processes. The ItFits toolkit was tested in the online clinic, Internetpsykiatrien, in...
6.
Pedersen M, Diaz C, Janice Wang Q, Alba-Marrugo M, Amidi A, Basaiawmoit R, et al.
Cogn Sci
. 2023 Jun;
47(6):e13308.
PMID: 37354036
Rapid individual cognitive phenotyping holds the potential to revolutionize domains as wide-ranging as personalized learning, employment practices, and precision psychiatry. Going beyond limitations imposed by traditional lab-based experiments, new efforts...
7.
Tarp K, Nielsen S, Holmberg T, Dalsgaard C, Borkner S, Skaarnes H, et al.
Front Psychiatry
. 2023 Apr;
14:1104301.
PMID: 37091699
Introduction: This study investigates the implementation of a new, more automated screening procedure using the ItFits-toolkit in the online clinic, Internet Psychiatry (iPsych) (www.internetpsykiatrien.dk), delivering guided iCBT for mild to...
8.
Days between sessions predict attrition in text-based internet intervention of Binge Eating Disorder
Linnet J, Hertz S, Jensen E, Runge E, Tarp K, Holmberg T, et al.
Internet Interv
. 2023 Feb;
31:100607.
PMID: 36819741
Background: The number of days between treatment sessions is often overlooked as a predictor of attrition in psychotherapy. In text-based Internet interventions, days between sessions may be a simple yet...
9.
Vis C, Schuurmans J, Aouizerate B, Atipei Craggs M, Batterham P, Buhrmann L, et al.
J Med Internet Res
. 2023 Feb;
25:e41532.
PMID: 36735287
Background: Internet-based cognitive behavioral therapy (iCBT) services for common mental health disorders have been found to be effective. There is a need for strategies that improve implementation in routine practice....
10.
Runge E, Jensen E, Mathiasen K, Larsen P, Hertz S, Holmberg T, et al.
Front Psychiatry
. 2022 Oct;
13:969338.
PMID: 36276339
Objective: Lack of motivation is widely acknowledged as a significant factor in treatment discontinuity and poor treatment outcomes in eating disorders. Treatment adherence is lower in internet-based treatment. The current...