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Respondent-driven sampling (RDS) is a relatively new form of sampling hidden populations. RDS has the ability to produce valid population estimates, provided that certain assumptions are met. This study examined whether an RDS survey of people who inject drugs (PWID) conducted in South East Sydney was able to meet the assumptions and requirements necessary to produce valid population estimates. From November 2009 to March 2010, 261 participants were recruited in 16 waves. While the method's requirements and assumptions were largely met, an apparent lack of random recruitment and the low proportion of coupons returned were sources of concern. This study shows that RDS can be used successfully in Australia as a means of recruiting PWID. However, more work is needed to confirm the soundness of the assumptions on which the calculation of valid population estimates are based.

Objective: This study describes characteristics of psychiatry inpatients with developmental disabilities (DD) and their admissions to psychiatry wards in 2 acute care hospitals. It also compares differences in lengths of stay between admissions of this group with a comparison sample of inpatient admissions without DD. Method: A retrospective chart review was conducted on all individuals with DD who were psychiatric inpatients at 2 Kingston, Ontario, general hospitals, within a 4-year period (1994 to 1998). A comparison sample of admissions of patients without DD was chosen. Frequency tables were used to describe the inpatients with DD and to describe the 2 samples of admissions. Nonparametric statistics were used to compare the median length of stay between the 2 samples. Associations between length of stay and other covariates were explored within the sample of patient admissions with DD. Results: The 62 individuals with DD had 101 admissions over the study period. Suicidal ideation was the most common admission reason (46%), and mood disorder was the most common discharge diagnosis (29%). The median length of stay for patients with DD was 8 days, which did not differ meaningfully from the comparison sample. Variables that were significantly associated with length of stay among individuals with DD included sex, referral source, and diagnosis. Conclusion: When individuals with DD are psychiatric inpatients, their length of stay is affected by some factors that have been identified in previous studies not specific to DD (for example, referral source and diagnosis). Our finding that male patients with DD have longer lengths of stay than do female patients in the same sample has not been reported in previous research.