Working alliance predicts symptomatic improvement in public hospital-delivered psychotherapy in Nairobi, Kenya.

Journal: Journal of consulting and clinical psychology

Volume: 87

Issue: 1

Year of Publication: 2019

Affiliated Institutions:  Department of Behavioral Sciences and Learning. Department of Psychiatry, University of Nairobi.

Abstract summary 

Although patient-therapist collaboration (working alliance) has been studied extensively in Europe and America, it is unknown to what extent the importance of working alliance for psychotherapy outcome generalizes to lower- and middle-income countries. Additionally, there is a need for more studies on the alliance using methods that are robust to confounders of its effect on outcome.In this study, 345 outpatients seeking care at the 2 public psychiatric hospitals in Nairobi, Kenya, filled out the Session Alliance Inventory (SAI) and the Clinical Outcomes in Routine Evaluation-Outcome Measure (CORE-OM) during each session. The effect of alliance on next-session psychological distress was modeled using the random intercept cross-lagged panel model, which estimates a cross-lagged panel model on within- and between-subjects disaggregated data.Changes in the working alliance from session to session significantly predicted change in psychological distress by the next session, with an increase of 1 point of the SAI in a given session resulting in a decrease of 1.27 points on the CORE-OM by the next session (SE = .60, 95% confidence interval [-2.44, -.10]). This finding represents a medium-sized standardized regression coefficient of between .16 and .21. Results were generally robust to sensitivity tests for stationarity, missing data assumptions, and measurement error.Results affirm cross-cultural stability of the session-by-session reciprocal effects model of alliance and psychological distress-symptoms as seen in a Kenyan psychiatric outpatient sample, using the latest developments in cross-lagged panel modeling. A limitation of the study is its naturalistic design and lack of control over several variables. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Authors & Co-authors:  Falkenström Kuria Othieno Kumar

Study Outcome 

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Statistics
Citations :  Asparouhov T, & Muthén BO (2010). Bayesian analysis using Mplus: Technical implementation. Unpublished report.
Authors :  4
Identifiers
Doi : 10.1037/ccp0000363
SSN : 1939-2117
Study Population
Male,Female
Mesh Terms
Adolescent
Other Terms
Study Design
Study Approach
Country of Study
Kenya
Publication Country
United States