Routine outcome monitoring in a public mental health system: The impact ofpatients who leave care

Citation
As. Young et al., Routine outcome monitoring in a public mental health system: The impact ofpatients who leave care, PSYCH SERV, 51(1), 2000, pp. 85-91
Citations number
33
Categorie Soggetti
Psychiatry,"Clinical Psycology & Psychiatry
Journal title
PSYCHIATRIC SERVICES
ISSN journal
10752730 → ACNP
Volume
51
Issue
1
Year of publication
2000
Pages
85 - 91
Database
ISI
SICI code
1075-2730(200001)51:1<85:ROMIAP>2.0.ZU;2-Y
Abstract
Objective: An interest exists in using patient outcome data to evaluate the performance of publicly financed mental health organizations. Because pati ents leave these organizations at a high rate, the impact of patient attrit ion on routinely collected outcome data was examined. Methods: In one count y mental health system, routinely collected data on a wide range of outcome s were examined, and a random sample of patients who left treatment was int erviewed. Results: Of the 1,769 patients in ongoing treatment during a one- year period, 554 (31 percent) were lost to follow-up. Among a random sample of 102 patients who left treatment, two had died and 47 were interviewed. Compared with patients who left treatment, patients who stayed were older, more likely to have schizophrenia, less likely to be married, more likely t o be living in an institution, more satisfied with their relationships with friends and family, and less likely to have legal problems. Average outcom es improved both for patients who stayed and for patients who left. Patient s who left and could be located for follow-up were less severely ill and sh owed the greatest improvement and the best outcomes. Patients who left and could not be located may have been more severely ill at baseline. Conclusio ns: Outcomes appear to vary substantially by whether patients stay in care and whether they can be located after leaving care. Public mental health sy stems that wish to evaluate treatment quality using outcome data should att end carefully to which patients are being assessed. Biases can result from convenience sampling and from patients leaving care.