{'fraction_non_alphanumeric': 0.023982152816508645, 'fraction_numerical': 0.005577244841048522, 'mean_word_length': 5.571428571428571, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Predicting treatment outcomes in improving access to psychological therapy (IAPT) services


Purpose
Given the considerable variation in treatment effectiveness observed across Improving Access to Psychological Therapy (IAPT) services, the purpose of this study is to explore client- and service-related variables that predict successful treatment outcomes and clients’ dropout. Clinician-rated clients’ motivation to change was also explored as a potential predictor for both outcome variables.


Design/methodology/approach
A convenience sample of 1,135 (F = 752; Mage = 39.4) was collected from three IAPT services in the North West of England. The study adopts a quasi-experimental, observational design. The analysis involves the description of patients’ socio-demographic and clinical characteristics and the development of three outcome prediction models, using hierarchical logistic regression.


Findings
After adjusting for confounders, employment status and motivation to change as rated by clinicians were predictive of both recovery and reliable improvement. The higher number of IAPT re-referrals was negatively associated with recovery and positively with dropouts. Clients who indicated low motivation to change and received low intensity treatment at their last session presented a higher likelihood to dropout.


Research limitations/implications
Given that the evaluation of clients’ motivation to change was solely reliant on clinical judgement, as no validated measure was used, further robust research is recommended to draw sensible conclusions.


Originality/value
This is the first study evaluating clinician-rated motivation to change as a significant predictor of treatment outcomes and dropouts within the IAPT setting. Further research implications are discussed.
