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Using web-based technology to improve depression screening in primary care settings
BACKGROUND: Given the high rates at which patients present with behavioural health (BH) concerns in primary care (PC), this setting has become the de facto mental health system. As a result, screening for depression and other BH conditions in PC has become a critical target for improving patient out...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887364/ https://www.ncbi.nlm.nih.gov/pubmed/33589504 http://dx.doi.org/10.1136/bmjoq-2020-001028 |
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author | Jeffrey, Jessica Do, Minh-Chau T Hajal, Nastassia Lin, Yu-Hsiang Linonis, Rachel Grossman, Mark S Lester, Patricia E |
author_facet | Jeffrey, Jessica Do, Minh-Chau T Hajal, Nastassia Lin, Yu-Hsiang Linonis, Rachel Grossman, Mark S Lester, Patricia E |
author_sort | Jeffrey, Jessica |
collection | PubMed |
description | BACKGROUND: Given the high rates at which patients present with behavioural health (BH) concerns in primary care (PC), this setting has become the de facto mental health system. As a result, screening for depression and other BH conditions in PC has become a critical target for improving patient outcomes. However, integration of screening into busy PC workflows can be challenging due to barriers such as limited time and resources. METHODOLOGY: A digital, cloud-based BH assessment tool, which included electronic health record enhancements, was developed and implemented in two urban PC practices as a prelude to a planned larger-scale implementation. The implementation strategies included a reorganisation of workflows within the PC setting, comprehensive training for staff and PC physicians, and institution of an incentive programme for PC clinic managers. To examine whether the introduction of the cloud-based BH assessment tool and associated implementation strategies was associated with increased screening rates, we compared rates of screening from January through June 2017 to rates of screening from January through June 2018 (subsequent to implementation). We also examined BH symptomatology reported by patients in PC. RESULTS: Following the implementation process, rate of BH screening with Patient Health Questionnaire-2 (PHQ-2) increased from 50.5% to 57% (p<0.00000000000000022) and rates of subsequent screening with PHQ-9, for those scoring at risk, defined as a score of ≥1, on PHQ-2, increased from 34.5% to 91.4% (p<0.00000000000000022). Additionally, high rates of ‘moderate’ and ‘severe’ symptoms of depression (40.3%), anxiety (42.6%) and substance use (26.7% alcohol; 31.2% other substance use) were observed among PC patients. CONCLUSIONS: Results suggest that a comprehensive implementation plan, including digitisation of BH assessment, reduced the burden of systematic screening. High rates of BH symptomatology underscore the need for comprehensive BH assessment and systems planning to address the high need for BH services among PC patients. |
format | Online Article Text |
id | pubmed-7887364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-78873642021-03-03 Using web-based technology to improve depression screening in primary care settings Jeffrey, Jessica Do, Minh-Chau T Hajal, Nastassia Lin, Yu-Hsiang Linonis, Rachel Grossman, Mark S Lester, Patricia E BMJ Open Qual Original Research BACKGROUND: Given the high rates at which patients present with behavioural health (BH) concerns in primary care (PC), this setting has become the de facto mental health system. As a result, screening for depression and other BH conditions in PC has become a critical target for improving patient outcomes. However, integration of screening into busy PC workflows can be challenging due to barriers such as limited time and resources. METHODOLOGY: A digital, cloud-based BH assessment tool, which included electronic health record enhancements, was developed and implemented in two urban PC practices as a prelude to a planned larger-scale implementation. The implementation strategies included a reorganisation of workflows within the PC setting, comprehensive training for staff and PC physicians, and institution of an incentive programme for PC clinic managers. To examine whether the introduction of the cloud-based BH assessment tool and associated implementation strategies was associated with increased screening rates, we compared rates of screening from January through June 2017 to rates of screening from January through June 2018 (subsequent to implementation). We also examined BH symptomatology reported by patients in PC. RESULTS: Following the implementation process, rate of BH screening with Patient Health Questionnaire-2 (PHQ-2) increased from 50.5% to 57% (p<0.00000000000000022) and rates of subsequent screening with PHQ-9, for those scoring at risk, defined as a score of ≥1, on PHQ-2, increased from 34.5% to 91.4% (p<0.00000000000000022). Additionally, high rates of ‘moderate’ and ‘severe’ symptoms of depression (40.3%), anxiety (42.6%) and substance use (26.7% alcohol; 31.2% other substance use) were observed among PC patients. CONCLUSIONS: Results suggest that a comprehensive implementation plan, including digitisation of BH assessment, reduced the burden of systematic screening. High rates of BH symptomatology underscore the need for comprehensive BH assessment and systems planning to address the high need for BH services among PC patients. BMJ Publishing Group 2021-02-15 /pmc/articles/PMC7887364/ /pubmed/33589504 http://dx.doi.org/10.1136/bmjoq-2020-001028 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Research Jeffrey, Jessica Do, Minh-Chau T Hajal, Nastassia Lin, Yu-Hsiang Linonis, Rachel Grossman, Mark S Lester, Patricia E Using web-based technology to improve depression screening in primary care settings |
title | Using web-based technology to improve depression screening in primary care settings |
title_full | Using web-based technology to improve depression screening in primary care settings |
title_fullStr | Using web-based technology to improve depression screening in primary care settings |
title_full_unstemmed | Using web-based technology to improve depression screening in primary care settings |
title_short | Using web-based technology to improve depression screening in primary care settings |
title_sort | using web-based technology to improve depression screening in primary care settings |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887364/ https://www.ncbi.nlm.nih.gov/pubmed/33589504 http://dx.doi.org/10.1136/bmjoq-2020-001028 |
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