An Evaluation of the Use of Automated Chatbots Within One Psychological Therapy and Counselling Service

ABSTRACT Objectives This study evaluated the effectiveness of the use of automated chatbots within one NHS Talking Therapies provider. Two chatbots were designed and piloted: (1) to help prepare patients for therapy and (2) to provide solution‐based coaching to patients regarding a problem or concern. This study aimed to evaluate the effectiveness of the use of these chatbots in the NHS Talking Therapies service. Methods The chatbots were made available to patients ( N = 4329) who had been referred for therapy and were waiting for their first assessment. Data from a control group of patients ( N = 4333) who did not use a chatbot were also analysed. The evaluation adopted a mixed methods approach to capture data relating to the conversations had by patients with the chatbot, feedback regarding satisfaction with its use, data relating to patient attendance and standardised outcome measures relating to patients' improvements in anxiety and depression. Results Qualitative data showed that the chatbots were received positively by patients who gave feedback. Quantitative data showed non‐attendance was significantly lower in the control group ( p ≤ 0.001), cancellations were significantly lower in the control group ( p ≤ 0.001), but days spent in therapy were significantly higher in the chatbot groups ( p ≤ 0.001). All groups saw significant improvements in their GAD‐7 ( p = 0.000) and PHQ‐9 ( p = 0.000) scores. Conclusions In NHS Talking Therapy services, waiting times have been problematic; thus, chatbots can be a useful tool to assist patient engagement while they wait for their appointment. Therefore, they have the potential to reduce anxiety, frustration or disappointment in patients who are unable to wait for too long and may drop out before they start therapy.

Authors

Institutions

Publication Details

Journal
Counselling and Psychotherapy Research
Published
2026-01-26
DOI
https://doi.org/10.1002/capr.70085
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Evaluation of the Use of Automated Chatbots Within One Psychological Therapy and Counselling Service

Tim Anstiss, Gabriella Mutale, Steven Brown, Dean Repper et al.
Counselling and Psychotherapy Research
Digital Mental Health Interventions
article

An Evaluation of the Use of Automated Chatbots Within One Psychological Therapy and Counselling Service

Tim Anstiss, Gabriella Mutale, Steven Brown, Dean Repper, Di Bailey, Maria Karanika‐Murray
article en

Abstract

ABSTRACT Objectives This study evaluated the effectiveness of the use of automated chatbots within one NHS Talking Therapies provider. Two chatbots were designed and piloted: (1) to help prepare patients for therapy and (2) to provide solution‐based coaching to patients regarding a problem or concern. This study aimed to evaluate the effectiveness of the use of these chatbots in the NHS Talking Therapies service. Methods The chatbots were made available to patients ( N = 4329) who had been referred for therapy and were waiting for their first assessment. Data from a control group of patients ( N = 4333) who did not use a chatbot were also analysed. The evaluation adopted a mixed methods approach to capture data relating to the conversations had by patients with the chatbot, feedback regarding satisfaction with its use, data relating to patient attendance and standardised outcome measures relating to patients' improvements in anxiety and depression. Results Qualitative data showed that the chatbots were received positively by patients who gave feedback. Quantitative data showed non‐attendance was significantly lower in the control group ( p ≤ 0.001), cancellations were significantly lower in the control group ( p ≤ 0.001), but days spent in therapy were significantly higher in the chatbot groups ( p ≤ 0.001). All groups saw significant improvements in their GAD‐7 ( p = 0.000) and PHQ‐9 ( p = 0.000) scores. Conclusions In NHS Talking Therapy services, waiting times have been problematic; thus, chatbots can be a useful tool to assist patient engagement while they wait for their appointment. Therefore, they have the potential to reduce anxiety, frustration or disappointment in patients who are unable to wait for too long and may drop out before they start therapy.

Counselling and Psychotherapy ResearchVol. 26(1)
University of Leicester (GB), University of Derby (GB), Virtual High School (US), Nottingham Trent University (GB)
Nottingham Trent University, Trent University
Openalex Percentile: Top 80%
Digital Mental Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.