PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 10176462

Secure units. Safety measures.

J Rooney
View original source ↗Export metadata ↓

Abstract

More than 20 years after the publication of the Butler report which led to the establishment of medium-secure units, many of its recommendations have not been implemented. There is still a shortage of beds in medium-secure units. A survey of 18 of the 25 units in England and Wales has revealed wide variations in size as well as staffing ratios. National leadership and more coherent planning is needed.

Explore related subjects

Data CollectionHospitals, PrivateHospitals, PublicHumansPersonality DisordersPersonnel Staffing and SchedulingPsychiatric Department, HospitalSecurity MeasuresState MedicineUnited KingdomWorkforceJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J Rooney. 1998-01-15. Secure units. Safety measures.. https://pubmed.ncbi.nlm.nih.gov/10176462/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗