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Embryonic work in the measurement of the quality of care in mental health units is presented. The main thrust of the article is an assessment of the relationship between patient dependency, nursing workload, and quality of patient care. A Psychiatric Nursing Audit is employed in an ongoing quality assurance programme and some preliminary findings are discussed along with the strengths and weaknesses of the method.

This paper aims to explains how relatively simple nurse staffing formulas from “best practice” ward dependency‐acuity data can be used for nursing workforce planning and development.

The paper combines literature, detailed ward surveys, workshop and expert group/stakeholder information to generate and test care levels/nurse multipliers for setting ward establishments.

The paper finds that professional‐judgement based ward staffing can be abandoned, while complex acuity‐quality, timed‐task and regression‐based nurse staffing algorithms for setting ward establishments may be unnecessary since the new multipliers, underpinned by robust validity and reliability testing, seem to be remarkably accurate nurse‐staffing determiners at a fraction of the cost.

As care levels and multipliers stand they are suitable only for UK National Health Service acute wards. Primary care, mental health, learning disability and other specialist group care levels and multipliers need developing.

Users, at a minimum, can adopt care level data and multiplier staffing recommendations for benchmarking purposes. Ultimately, the algorithms can be used to: adjust ward establishments according to workload; or set staffing for new, inpatient services.

The paper offers a simple system for assessing patients' nursing needs and setting ward staffing accordingly.

Briefly reviews the literature on private outpatient satisfaction and NHS outpatient satisfaction. Describes the survey of patients in the two settings, focusing on the similarities and differences in findings, especially the differences between the administrative and clinical process in private and NHS OPDs. Discusses weaknesses and limitations in the survey design.