Evidence Hub

Structural gaps in referral and treatment pathways for gambling-related harm: a systematic review of health system responses using the antecedents-decision-outcomes framework

Lakew N, Lindner P

Frontiers in public health, 2026

Abstract

Introduction: Gambling-related harm is increasingly recognized as a public mental health concern, yet referral pathways into formal treatment and support services remain poorly understood. Weak or absent referral structures may delay engagement with care and limit coordination across health and support systems. This review aimed to map structural and system-level factors shaping referral and treatment pathways for gambling-related harm. Particular attention was given to mechanisms influencing help-seeking, healthcare system readiness, and the extent to which gambling environments facilitate transitions into formal care.

Methods: A systematic review was conducted across multiple databases covering literature published between 2014 and 2024. Studies were included if they examined help-seeking, referral pathways, service engagement, or system-level responses to harmful gambling. From an initial pool of 8,178 studies, 5,230 were screened, and 39 met the inclusion criteria. Findings were analyzed using ADO-guided thematic synthesis as the primary analytical approach, complemented by abstract-based descriptive bibliometric mapping.

Results: Ten core themes were identified across the ADO phases. Antecedent-level findings highlighted barriers related to service visibility, system readiness, and the framing of responsibility. Decision-phase themes included help-seeking triggers, digital interventions, and the role of referral gatekeepers. Outcome themes focused on treatment…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free