1995
DOI: 10.1192/pb.19.1.28
|View full text |Cite
|
Sign up to set email alerts
|

Discrepancies and inaccuracies in statistics for detained patients

Abstract: While conducting a study on the nature and extent of compulsory admissions to mental hospitals within the four London regional health authorities, discrepancies and inaccuracies were revealed in many of those mental hospital in-patient statistics. The nature and extent of some of these are examined. It is suggested that the value of such statistics for government planning must be questioned as is their value for research. It is recommended that a centralised system of collecting and collating such data be intr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

1997
1997
2003
2003

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 2 publications
0
2
0
Order By: Relevance
“…These data are potentially unreliable (Nemitz & Bean, 1995), as they depend on NHS trusts reporting the use of the Act when Department of Health admissions under the Act occur. It is therefore possible that changes in the efficiency with which admissions under the Act are reported could account for the increase in the number of formal admissions.…”
Section: Discussionmentioning
confidence: 99%
“…These data are potentially unreliable (Nemitz & Bean, 1995), as they depend on NHS trusts reporting the use of the Act when Department of Health admissions under the Act occur. It is therefore possible that changes in the efficiency with which admissions under the Act are reported could account for the increase in the number of formal admissions.…”
Section: Discussionmentioning
confidence: 99%
“…One of the main limitations of this study is that data might not be representative of patterns of detention across Scotland. This could be because Glasgow is an urban area with above average deprivation (Gruer & Morrison, 1999), or because data were missing or inaccurate (Nemitz & Bean, 1995).…”
Section: Discussionmentioning
confidence: 99%