Evidence map›Paper›PMID 42591956›Full record

ArticleCogent mental health2026

Whose alliance shapes whose appraisal? Longitudinal actor-partner associations between therapeutic alliance and session quality, clinical severity, and global improvement among Filipino client-therapist dyads.

John Robert C Rilveria

Abstract read
In one paragraph

Article in Cogent mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

John Robert C RilveriaDepartment of Psychology, University of the Philippines, Quezon City, Philippines.ORCID https://orcid.org/0000-0001-6403-5809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined longitudinal actor-partner associations between client- and therapist-rated alliance and three appraisal domains: session quality, clinical severity, and global improvement. Using an intensive longitudinal dyadic design, 54 unique Filipino client-therapist dyads were followed across eight to ten psychotherapy sessions. Longitudinal actor-partner interdependence models tested whether each dyad member's alliance rating at session t predicted their own and the other member's appraisal at session t + 1, controlling for prior appraisal, observed session number, and between-dyad alliance means. Descriptive trajectories showed that alliance ratings were relatively stable, session quality fluctuated across sessions, clinical severity declined over time, and global improvement increased across observed treatment sessions. Actor effects were supported primarily for session quality: stronger-than-usual client-rated alliance predicted higher subsequent client-rated session quality, and stronger-than-usual therapist-rated alliance predicted higher subsequent therapist-rated session quality. Therapist-rated alliance also predicted lower subsequent therapist-rated clinical severity. Partner effects were not statistically significant across the primary models. Cross-domain comparisons indicated that actor effects were most evident for session quality, whereas partner effects did not vary meaningfully across appraisal domains. Findings suggest that alliance fluctuations are most consistently associated with each dyad member's own subsequent session appraisal and highlight the value of bidirectional alliance monitoring in psychotherapy practice.

Indexed as

Actor–partner interdependence modelFilipino client–therapist dyadspsychotherapysession qualitytherapeutic alliance

Identifiers

PMID42591956
PMCPMC13463515

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.