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PRODID:-//Vrije Universiteit Amsterdam//NONSGML v1.0//EN
NAME:PhD defence L. Tong
METHOD:PUBLISH
BEGIN:VEVENT
DTSTART:20260324T134500
DTEND:20260324T151500
DTSTAMP:20260324T134500
UID:phd-defence-l-tong@8F96275E-9F55-4B3F-A143-836282E12573
CREATED:20260925T151945
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SUMMARY:PhD defence L. Tong
X-ALT-DESC;FMTTYPE=text/html: <html> <body> <p><p>Addressing Mental He
 alth Treatment Gaps: From Access to Precision in Depression Care</p><
 /p> <p>This thesis aims to understand mental health treatment dispari
 ties in low-resource settings and to provide evidence on scalable and
  accessible psychological interventions that can be widely disseminat
 ed across diverse contexts. It consists of findings from a series of 
 meta-analyses focusing on the effectiveness and dropout risks of self
 -guided and internet-based psychological interventions for depression
 , with the goal of informing the optimal allocation of human resource
 s, particularly for individuals residing in low-resource settings. Fu
 rther, it seeks to improve treatment effectiveness by examining indiv
 idual-level differences in response to internet-based depression inte
 rventions, offering precise insights into factors associated with par
 ticipant outcomes.</p><p>More information on the <a href="https://hdl
 .handle.net/1871.1/60f7f7b6-b706-4f96-9be0-9a7390698051" data-new-win
 dow="true" target="_blank" rel="noopener noreferrer">thesis</a></p> <
 /body> </html>
DESCRIPTION: Addressing Mental Health Treatment Gaps: From Access to P
 recision in Depression Care This thesis aims to understand mental hea
 lth treatment disparities in low-resource settings and to provide evi
 dence on scalable and accessible psychological interventions that can
  be widely disseminated across diverse contexts. It consists of findi
 ngs from a series of meta-analyses focusing on the effectiveness and 
 dropout risks of self-guided and internet-based psychological interve
 ntions for depression, with the goal of informing the optimal allocat
 ion of human resources, particularly for individuals residing in low-
 resource settings. Further, it seeks to improve treatment effectivene
 ss by examining individual-level differences in response to internet-
 based depression interventions, offering precise insights into factor
 s associated with participant outcomes.More information on the <a hre
 f="https://hdl.handle.net/1871.1/60f7f7b6-b706-4f96-9be0-9a7390698051
 " data-new-window="true" target="_blank" rel="noopener noreferrer">th
 esis</a>
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