Predicting change for individual psychotherapy clients based on their nearest neighbors

Wolfgang Lutz, Chris Leach, Michael Barkham, Mike Lucock, William B. Stiles, Chris Evans, Rachael Noble, Steve Iveson

Research output: Contribution to journalArticlepeer-review

109 Citations (Scopus)


This study extended client-focused research by using the nearest neighbor (NN) approach, a client-specific sampling and prediction strategy derived from research on alpine avalanches. Psychotherapy clients (N = 203) seen in routine practice settings in the United Kingdom completed a battery of intake measures and then completed symptom intensity ratings before each session. Forecasts of each client's rate of change and session-by-session variability were computed on the basis of that client's NNs (n = 10-50 in different comparisons). Alternative forecasts used linear or log-linear slopes and were compared with an alternative prediction strategy. Results showed that the NN approach was superior to the alternative model in predicting rate of change, though the advantage was less clear for predicting variability. (PsycINFO Database Record (c) 2009 APA, all rights reserved)
Original languageEnglish
Pages (from-to)904-913
Number of pages10
JournalJournal of Consulting and Clinical Psychology
Issue number5
Publication statusPublished - Oct 2005


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