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Using Interrupted Time Series Analysis to Measure the Impact of Legalized Syringe Exchange on HIV Diagnoses in Baltimore and Philadelphia
Syringe exchange programs (SEP) reduce HIV incidence associated with injection drug use (IDU), but legislation often prohibits implementation. We examined the policy change impact allowing for SEP implementation on HIV diagnoses among people who inject drugs in 2 US cities. SETTING: Philadelphia, PA...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JAIDS Journal of Acquired Immune Deficiency Syndromes
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820712/ https://www.ncbi.nlm.nih.gov/pubmed/31658203 http://dx.doi.org/10.1097/QAI.0000000000002176 |
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author | Ruiz, Monica S. O'Rourke, Allison Allen, Sean T. Holtgrave, David R. Metzger, David Benitez, Jose Brady, Kathleen A. Chaulk, C. Patrick Wen, Leana S. |
author_facet | Ruiz, Monica S. O'Rourke, Allison Allen, Sean T. Holtgrave, David R. Metzger, David Benitez, Jose Brady, Kathleen A. Chaulk, C. Patrick Wen, Leana S. |
author_sort | Ruiz, Monica S. |
collection | PubMed |
description | Syringe exchange programs (SEP) reduce HIV incidence associated with injection drug use (IDU), but legislation often prohibits implementation. We examined the policy change impact allowing for SEP implementation on HIV diagnoses among people who inject drugs in 2 US cities. SETTING: Philadelphia, PA, and Baltimore, MD. METHODS: Using surveillance data from Philadelphia (1984–2015) and Baltimore (1985–2013) for IDU-associated HIV diagnoses, we used autoregressive integrated moving averages modeling to conduct 2 tests to measure policy change impact. We forecast the number of expected HIV diagnoses per city had policy not changed in the 10 years after implementation and compared it with the number of observed diagnoses postpolicy change, obtaining an estimate for averted HIV diagnoses. We then used interrupted time series analysis to assess the immediate step and trajectory impact of policy change implementation on IDU-attributable HIV diagnoses. RESULTS: The Philadelphia (1993–2002) model predicted 15,248 new IDU-associated HIV diagnoses versus 4656 observed diagnoses, yielding 10,592 averted HIV diagnoses over 10 years. The Baltimore model (1995–2004) predicted 7263 IDU-associated HIV diagnoses versus 5372 observed diagnoses, yielding 1891 averted HIV diagnoses over 10 years. Considering program expenses and conservative estimates of public sector savings, the 1-year return on investment in SEPs remains high: $243.4 M (Philadelphia) and $62.4 M (Baltimore). CONCLUSIONS: Policy change is an effective structural intervention with substantial public health and societal benefits, including reduced HIV diagnoses among people who inject drugs and significant cost savings to publicly funded HIV care. |
format | Online Article Text |
id | pubmed-6820712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JAIDS Journal of Acquired Immune Deficiency Syndromes |
record_format | MEDLINE/PubMed |
spelling | pubmed-68207122019-11-26 Using Interrupted Time Series Analysis to Measure the Impact of Legalized Syringe Exchange on HIV Diagnoses in Baltimore and Philadelphia Ruiz, Monica S. O'Rourke, Allison Allen, Sean T. Holtgrave, David R. Metzger, David Benitez, Jose Brady, Kathleen A. Chaulk, C. Patrick Wen, Leana S. J Acquir Immune Defic Syndr Supplement Article Syringe exchange programs (SEP) reduce HIV incidence associated with injection drug use (IDU), but legislation often prohibits implementation. We examined the policy change impact allowing for SEP implementation on HIV diagnoses among people who inject drugs in 2 US cities. SETTING: Philadelphia, PA, and Baltimore, MD. METHODS: Using surveillance data from Philadelphia (1984–2015) and Baltimore (1985–2013) for IDU-associated HIV diagnoses, we used autoregressive integrated moving averages modeling to conduct 2 tests to measure policy change impact. We forecast the number of expected HIV diagnoses per city had policy not changed in the 10 years after implementation and compared it with the number of observed diagnoses postpolicy change, obtaining an estimate for averted HIV diagnoses. We then used interrupted time series analysis to assess the immediate step and trajectory impact of policy change implementation on IDU-attributable HIV diagnoses. RESULTS: The Philadelphia (1993–2002) model predicted 15,248 new IDU-associated HIV diagnoses versus 4656 observed diagnoses, yielding 10,592 averted HIV diagnoses over 10 years. The Baltimore model (1995–2004) predicted 7263 IDU-associated HIV diagnoses versus 5372 observed diagnoses, yielding 1891 averted HIV diagnoses over 10 years. Considering program expenses and conservative estimates of public sector savings, the 1-year return on investment in SEPs remains high: $243.4 M (Philadelphia) and $62.4 M (Baltimore). CONCLUSIONS: Policy change is an effective structural intervention with substantial public health and societal benefits, including reduced HIV diagnoses among people who inject drugs and significant cost savings to publicly funded HIV care. JAIDS Journal of Acquired Immune Deficiency Syndromes 2019-12-01 2019-10-29 /pmc/articles/PMC6820712/ /pubmed/31658203 http://dx.doi.org/10.1097/QAI.0000000000002176 Text en Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Supplement Article Ruiz, Monica S. O'Rourke, Allison Allen, Sean T. Holtgrave, David R. Metzger, David Benitez, Jose Brady, Kathleen A. Chaulk, C. Patrick Wen, Leana S. Using Interrupted Time Series Analysis to Measure the Impact of Legalized Syringe Exchange on HIV Diagnoses in Baltimore and Philadelphia |
title | Using Interrupted Time Series Analysis to Measure the Impact of Legalized Syringe Exchange on HIV Diagnoses in Baltimore and Philadelphia |
title_full | Using Interrupted Time Series Analysis to Measure the Impact of Legalized Syringe Exchange on HIV Diagnoses in Baltimore and Philadelphia |
title_fullStr | Using Interrupted Time Series Analysis to Measure the Impact of Legalized Syringe Exchange on HIV Diagnoses in Baltimore and Philadelphia |
title_full_unstemmed | Using Interrupted Time Series Analysis to Measure the Impact of Legalized Syringe Exchange on HIV Diagnoses in Baltimore and Philadelphia |
title_short | Using Interrupted Time Series Analysis to Measure the Impact of Legalized Syringe Exchange on HIV Diagnoses in Baltimore and Philadelphia |
title_sort | using interrupted time series analysis to measure the impact of legalized syringe exchange on hiv diagnoses in baltimore and philadelphia |
topic | Supplement Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820712/ https://www.ncbi.nlm.nih.gov/pubmed/31658203 http://dx.doi.org/10.1097/QAI.0000000000002176 |
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