Cargando…
1004. Clinical Decision Support System Alerts for HIV Retention in Care – A Pilot Implementation Research Study
BACKGROUND: Clinical decision support system (CDSS) alerts may help retain people living with HIV (PLWH) in care. A system of CDSS alerts utilizing the CHORUS™ portal was developed to identify PLWH at risk of being lost to care. To evaluate feasibility for a larger scale study, a before and after im...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777237/ http://dx.doi.org/10.1093/ofid/ofaa439.1190 |
_version_ | 1783630855851212800 |
---|---|
author | Leonard, Michael Weber, Rachel P Brunet, Laurence Davis, Bernard Polk, Christopher Thompson, Joel Wesley Fusco, Jennifer S Evans, Tammeka Ferrer, Pedro Eitz Mood, Rodney Fusco, Gregory |
author_facet | Leonard, Michael Weber, Rachel P Brunet, Laurence Davis, Bernard Polk, Christopher Thompson, Joel Wesley Fusco, Jennifer S Evans, Tammeka Ferrer, Pedro Eitz Mood, Rodney Fusco, Gregory |
author_sort | Leonard, Michael |
collection | PubMed |
description | BACKGROUND: Clinical decision support system (CDSS) alerts may help retain people living with HIV (PLWH) in care. A system of CDSS alerts utilizing the CHORUS™ portal was developed to identify PLWH at risk of being lost to care. To evaluate feasibility for a larger scale study, a before and after implementation research pilot study was implemented in the OPERA Cohort at three clinic sites in a southeastern US city. METHODS: Periods without intervention (before) or with CDSS alerts (after) were followed by 3 months of follow up. The study population consisted of PLWH with ≥ 1 electronic health record entry in the 2 years prior to, or during, the before or after period (Fig 1). To support clinicians through a discrete implementation strategy, alerts warning of suboptimal patient attendance were generated daily for the eligible PLWH at each site; providers or other clinic staff could respond to the alerts (Fig 2). Alerts, responses, and visits (i.e., meeting with provider or HIV lab measurement) were characterized. The proportion of PLWH with ≥ 1 visit in the before and after periods were compared at each site by Pearson’s Chi-square. Figure 1. Pilot study timeline [Image: see text] Figure 2. CDSS alert criteria and response options [Image: see text] RESULTS: A total of 12,230 PLWH were eligible (sites A: 11,271; B: 733; C: 1,344 PLWH), with > 75% in both the before and after periods. The ratio of alerts to responses was 11.9 at site A (2,245 alerts to 189 responses in 309 days; Fig 3A), and comparatively lower at sites B (756 alerts to 334 responses in 352 days, ratio=2.2; Fig 3B) and C (1,305 alerts to 896 responses in 246 days, ratio=1.5; Fig 3C). Responses to alerts were sporadic at sites A and B and consistent at site C. After the intervention, the proportion of PLWH with ≥ 1 visit stayed the same at site A (46% in both periods; p=0.47), decreased at site B (91% to 80%; p< 0.01), and increased at site C (72% to 81%; p< 0.01). Figure 3. Alerts and responses over time in (A) Site A, (B) Site B, and (C) Site C [Image: see text] CONCLUSION: This pilot study was ecological by design: measures of retention in care were compared over two calendar periods, without accounting for changes in study populations, clinic characteristics, and policies in place over time (which could have impacted clinic attendance). Though engagement with the CDSS was suboptimal at some sites, this implementation pilot study has demonstrated the ability to implement a CDSS aimed at identifying at-risk PLWH, while highlighting areas for improvement in future larger scale studies. DISCLOSURES: Joel Wesley Thompson, MHS, PA-C, AAHIVS, DFAAPA, MHS, PA-C, AAHIVS, DFAAPA, Gilead (Shareholder, Speaker’s Bureau)Janssen (Speaker’s Bureau)Theratechnologies (Speaker’s Bureau)ViiV (Speaker’s Bureau) Tammeka Evans, MoP, ViiV Healthcare (Employee) |
format | Online Article Text |
id | pubmed-7777237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77772372021-01-07 1004. Clinical Decision Support System Alerts for HIV Retention in Care – A Pilot Implementation Research Study Leonard, Michael Weber, Rachel P Brunet, Laurence Davis, Bernard Polk, Christopher Thompson, Joel Wesley Fusco, Jennifer S Evans, Tammeka Ferrer, Pedro Eitz Mood, Rodney Fusco, Gregory Open Forum Infect Dis Poster Abstracts BACKGROUND: Clinical decision support system (CDSS) alerts may help retain people living with HIV (PLWH) in care. A system of CDSS alerts utilizing the CHORUS™ portal was developed to identify PLWH at risk of being lost to care. To evaluate feasibility for a larger scale study, a before and after implementation research pilot study was implemented in the OPERA Cohort at three clinic sites in a southeastern US city. METHODS: Periods without intervention (before) or with CDSS alerts (after) were followed by 3 months of follow up. The study population consisted of PLWH with ≥ 1 electronic health record entry in the 2 years prior to, or during, the before or after period (Fig 1). To support clinicians through a discrete implementation strategy, alerts warning of suboptimal patient attendance were generated daily for the eligible PLWH at each site; providers or other clinic staff could respond to the alerts (Fig 2). Alerts, responses, and visits (i.e., meeting with provider or HIV lab measurement) were characterized. The proportion of PLWH with ≥ 1 visit in the before and after periods were compared at each site by Pearson’s Chi-square. Figure 1. Pilot study timeline [Image: see text] Figure 2. CDSS alert criteria and response options [Image: see text] RESULTS: A total of 12,230 PLWH were eligible (sites A: 11,271; B: 733; C: 1,344 PLWH), with > 75% in both the before and after periods. The ratio of alerts to responses was 11.9 at site A (2,245 alerts to 189 responses in 309 days; Fig 3A), and comparatively lower at sites B (756 alerts to 334 responses in 352 days, ratio=2.2; Fig 3B) and C (1,305 alerts to 896 responses in 246 days, ratio=1.5; Fig 3C). Responses to alerts were sporadic at sites A and B and consistent at site C. After the intervention, the proportion of PLWH with ≥ 1 visit stayed the same at site A (46% in both periods; p=0.47), decreased at site B (91% to 80%; p< 0.01), and increased at site C (72% to 81%; p< 0.01). Figure 3. Alerts and responses over time in (A) Site A, (B) Site B, and (C) Site C [Image: see text] CONCLUSION: This pilot study was ecological by design: measures of retention in care were compared over two calendar periods, without accounting for changes in study populations, clinic characteristics, and policies in place over time (which could have impacted clinic attendance). Though engagement with the CDSS was suboptimal at some sites, this implementation pilot study has demonstrated the ability to implement a CDSS aimed at identifying at-risk PLWH, while highlighting areas for improvement in future larger scale studies. DISCLOSURES: Joel Wesley Thompson, MHS, PA-C, AAHIVS, DFAAPA, MHS, PA-C, AAHIVS, DFAAPA, Gilead (Shareholder, Speaker’s Bureau)Janssen (Speaker’s Bureau)Theratechnologies (Speaker’s Bureau)ViiV (Speaker’s Bureau) Tammeka Evans, MoP, ViiV Healthcare (Employee) Oxford University Press 2020-12-31 /pmc/articles/PMC7777237/ http://dx.doi.org/10.1093/ofid/ofaa439.1190 Text en © The Author 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Poster Abstracts Leonard, Michael Weber, Rachel P Brunet, Laurence Davis, Bernard Polk, Christopher Thompson, Joel Wesley Fusco, Jennifer S Evans, Tammeka Ferrer, Pedro Eitz Mood, Rodney Fusco, Gregory 1004. Clinical Decision Support System Alerts for HIV Retention in Care – A Pilot Implementation Research Study |
title | 1004. Clinical Decision Support System Alerts for HIV Retention in Care – A Pilot Implementation Research Study |
title_full | 1004. Clinical Decision Support System Alerts for HIV Retention in Care – A Pilot Implementation Research Study |
title_fullStr | 1004. Clinical Decision Support System Alerts for HIV Retention in Care – A Pilot Implementation Research Study |
title_full_unstemmed | 1004. Clinical Decision Support System Alerts for HIV Retention in Care – A Pilot Implementation Research Study |
title_short | 1004. Clinical Decision Support System Alerts for HIV Retention in Care – A Pilot Implementation Research Study |
title_sort | 1004. clinical decision support system alerts for hiv retention in care – a pilot implementation research study |
topic | Poster Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777237/ http://dx.doi.org/10.1093/ofid/ofaa439.1190 |
work_keys_str_mv | AT leonardmichael 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy AT weberrachelp 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy AT brunetlaurence 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy AT davisbernard 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy AT polkchristopher 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy AT thompsonjoelwesley 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy AT fuscojennifers 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy AT evanstammeka 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy AT ferrerpedroeitz 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy AT moodrodney 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy AT fuscogregory 1004clinicaldecisionsupportsystemalertsforhivretentionincareapilotimplementationresearchstudy |