Justifying the need for a recovery related surveillance system: Exploratory focused interviews

Joseph Ellis, Grace L. Clancy, Amber Kizewski, Tyler Jennings, Robin A. Thompson, Paula Arnett, Terry L. Bunn

Research output: Contribution to journalArticlepeer-review

Abstract

Background and Aims: No recovery related surveillance system exists but given the evidence of effectiveness and growing supply, a house- and resident- level recovery house (RH) surveillance system could be beneficial for data collection on recovery support service (RSS) engagement, and retention; for improved standardization of RH programs and services; and for identification of outcomes associated with long-term recovery. Methods: This study aimed to explore current data collection practices at the resident- and house- level through qualitative focus interviews of RH representatives. The 13 RH interviews were scheduled with 16 RH representative respondents. Results: The most frequently collected resident data was at entry (92%) and departure (85%) and included demographics (n = 5), substance use history (n = 6), treatment and recovery history (n = 5), legal and correctional history (n = 6) and mental health information (n = 7). Recovery support data was collected by 85% of houses. Post-stay data was only collected by four RHs (31%). Conclusion: These results indicate that there is a lack of standardized systematic collection, analysis, and reporting of recovery related data in the RH field. A recovery related surveillance system has the potential to fill this gap and inform and improve standard of resident care to support long-term recovery from substance use disorder.

Original languageEnglish
Article numbere2038
JournalHealth Science Reports
Volume7
Issue number4
DOIs
StatePublished - Apr 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors. Health Science Reports published by Wiley Periodicals LLC.

Keywords

  • data collection
  • recovery housing
  • substance use disorder
  • surveillance system

ASJC Scopus subject areas

  • General Medicine

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