Many conservation initiatives call for ‘transformative change’ to counter biodiversity loss, climate change, and injustice. The term connotes fundamental, broad, and durable changes to human relationships with nature. However, if oversimplified or overcomplicated, or not focused enough on power and the political action necessary for change, associated initiatives can perpetuate or exacerbate existing crises. This article aims to help practitioners deliberately catalyze and steer transformation processes. It provides a theoretically and practically grounded definition of ‘transformative conservation’, along with six strategic, interlocking recommendations. These cover systems pedagogy, political mobilization, inner transformation, as well as planning, action, and continual adjustment.

Calls for ‘transformative change’ point to the fundamental reorganization necessary for global conservation initiatives to stem ecological catastrophe. However, the concept risks being oversimplified or overcomplicated, and focusing too little on power and the political action necessary for change. Accordingly, its intersection with contemporary biodiversity and climate change mitigation initiatives needs explicit deliberation and clarification. This article advances the praxis of ‘transformative conservation’ as both (1) a desired process that rethinks the relationships between individuals, society, and nature, and restructures systems accordingly, and (2) a desired outcome that conserves biodiversity while justly transitioning to net zero emission economies and securing the sustainable and regenerative use of natural resources. It first reviews criticisms of area-based conservation targets, natural climate solutions, and nature-based solutions that are framed as transformative, including issues of ecological integrity, livelihoods, gender, equity, growth, power, participation, knowledge, and governance. It then substantiates six strategic recommendations designed to help practitioners deliberately steer transformation processes. These include taking a systems approach; partnering with political movements to achieve equitable and just transformation; linking societal with personal (‘inner’) transformation; updating how we plan; facilitating shifts from diagnosis and planning to action; and improving our ability to adjust to transformation as it occurs.

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Crisis resolution teams (CRTs) offer brief, intensive home treatment for people experiencing mental health crisis. CRT implementation is highly variable; positive trial outcomes have not been reproduced in scaled-up CRT care.

To evaluate a 1-year programme to improve CRTs’ model fidelity in a non-masked, cluster-randomised trial (part of the Crisis team Optimisation and RElapse prevention (CORE) research programme, trial registration number: ISRCTN47185233).

Fifteen CRTs in England received an intervention, informed by the US Implementing Evidence-Based Practice project, involving support from a CRT facilitator, online implementation resources and regular team fidelity reviews. Ten control CRTs received no additional support. The primary outcome was patient satisfaction, measured by the Client Satisfaction Questionnaire (CSQ-8), completed by 15 patients per team at CRT discharge (n = 375). Secondary outcomes: CRT model fidelity, continuity of care, staff well-being, in-patient admissions and bed use and CRT readmissions were also evaluated.

All CRTs were retained in the trial. Median follow-up CSQ-8 score was 28 in each group: the adjusted average in the intervention group was higher than in the control group by 0.97 (95% CI −1.02 to 2.97) but this was not significant (P = 0.34). There were fewer in-patient admissions, lower in-patient bed use and better staff psychological health in intervention teams. Model fidelity rose in most intervention teams and was significantly higher than in control teams at follow-up. There were no significant effects for other outcomes.

The CRT service improvement programme did not achieve its primary aim of improving patient satisfaction. It showed some promise in improving CRT model fidelity and reducing acute in-patient admissions.