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Improving OSA screening and diagnosis in patients with hypertension in an academic safety net primary care clinic: quality improvement project
Obstructive sleep apnoea (OSA) is more prevalent in patients with hypertension (HTN), and associated morbidities include stroke, heart failure and premature death. In the Internal Medicine Clinic (IMC), over 70% of the patients had a diagnosis of HTN and obesity. We identified a lack of OSA screenin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717931/ https://www.ncbi.nlm.nih.gov/pubmed/29435504 http://dx.doi.org/10.1136/bmjoq-2017-000105 |
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author | Bakhai, Smita Y Nigam, Mansi Saeed, Musa Krishnan, Amita Reynolds, Jessica L |
author_facet | Bakhai, Smita Y Nigam, Mansi Saeed, Musa Krishnan, Amita Reynolds, Jessica L |
author_sort | Bakhai, Smita Y |
collection | PubMed |
description | Obstructive sleep apnoea (OSA) is more prevalent in patients with hypertension (HTN), and associated morbidities include stroke, heart failure and premature death. In the Internal Medicine Clinic (IMC), over 70% of the patients had a diagnosis of HTN and obesity. We identified a lack of OSA screening in patients with HTN. The aim of this quality improvement (QI) was to increase OSA diagnosis to 5% from the baseline rate of less than 1% in patients with HTN between the ages of 18 and 75 years over 6 months at IMC. We used the Plan-Do-Study-Act (PDSA) method. The QI team performed root cause analysis to identify materials/methods, provider and patient-related barriers. PDSA cycle included: (1) integration of customised workflow of loud Snoring, Tiredness, Observed apnea, high blood Pressure (STOP)-Body mass index (BMI), Age, Neck circumference, and Gender (BANG) OSA screening tool in the electronic health record (EHR); (2) physician education of OSA and EHR workflow; and (3) completion of STOP survey by patients, which was facilitated by nursing staff. The outcome measure was the percentage of OSA diagnosis in patients with HTN. The process measures included the percentage of patients with HTN screened for OSA and the increase in sleep study referrals in hypertensive patients with STOP-BANG score of ≥3. Increase in patient wait time and cost of sleep study were the balance measures. Data analysis was performed using weekly statistical process control chart. The average increase in OSA screening rate using the STOP-BANG tool was 3.88%. The significant variation seen in relation to PDSA cycles was not sustainable. 32% of patients scored ≥3 on the STOP-BANG tool, and 10.4% had a confirmed diagnosis of OSA. STOP-BANG tool integration in the EHR and a team approach did not result in a sustainable increase in OSA screening. OSA diagnosis was increased to 3.3% in IMC patient population within the 6-month period. The team identified multiple barriers to screening and diagnosis of OSA in the IMC. |
format | Online Article Text |
id | pubmed-5717931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-57179312018-02-12 Improving OSA screening and diagnosis in patients with hypertension in an academic safety net primary care clinic: quality improvement project Bakhai, Smita Y Nigam, Mansi Saeed, Musa Krishnan, Amita Reynolds, Jessica L BMJ Open Qual BMJ Quality Improvement Report Obstructive sleep apnoea (OSA) is more prevalent in patients with hypertension (HTN), and associated morbidities include stroke, heart failure and premature death. In the Internal Medicine Clinic (IMC), over 70% of the patients had a diagnosis of HTN and obesity. We identified a lack of OSA screening in patients with HTN. The aim of this quality improvement (QI) was to increase OSA diagnosis to 5% from the baseline rate of less than 1% in patients with HTN between the ages of 18 and 75 years over 6 months at IMC. We used the Plan-Do-Study-Act (PDSA) method. The QI team performed root cause analysis to identify materials/methods, provider and patient-related barriers. PDSA cycle included: (1) integration of customised workflow of loud Snoring, Tiredness, Observed apnea, high blood Pressure (STOP)-Body mass index (BMI), Age, Neck circumference, and Gender (BANG) OSA screening tool in the electronic health record (EHR); (2) physician education of OSA and EHR workflow; and (3) completion of STOP survey by patients, which was facilitated by nursing staff. The outcome measure was the percentage of OSA diagnosis in patients with HTN. The process measures included the percentage of patients with HTN screened for OSA and the increase in sleep study referrals in hypertensive patients with STOP-BANG score of ≥3. Increase in patient wait time and cost of sleep study were the balance measures. Data analysis was performed using weekly statistical process control chart. The average increase in OSA screening rate using the STOP-BANG tool was 3.88%. The significant variation seen in relation to PDSA cycles was not sustainable. 32% of patients scored ≥3 on the STOP-BANG tool, and 10.4% had a confirmed diagnosis of OSA. STOP-BANG tool integration in the EHR and a team approach did not result in a sustainable increase in OSA screening. OSA diagnosis was increased to 3.3% in IMC patient population within the 6-month period. The team identified multiple barriers to screening and diagnosis of OSA in the IMC. BMJ Publishing Group 2017-11-25 /pmc/articles/PMC5717931/ /pubmed/29435504 http://dx.doi.org/10.1136/bmjoq-2017-000105 Text en © Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | BMJ Quality Improvement Report Bakhai, Smita Y Nigam, Mansi Saeed, Musa Krishnan, Amita Reynolds, Jessica L Improving OSA screening and diagnosis in patients with hypertension in an academic safety net primary care clinic: quality improvement project |
title | Improving OSA screening and diagnosis in patients with hypertension in an academic safety net primary care clinic: quality improvement project |
title_full | Improving OSA screening and diagnosis in patients with hypertension in an academic safety net primary care clinic: quality improvement project |
title_fullStr | Improving OSA screening and diagnosis in patients with hypertension in an academic safety net primary care clinic: quality improvement project |
title_full_unstemmed | Improving OSA screening and diagnosis in patients with hypertension in an academic safety net primary care clinic: quality improvement project |
title_short | Improving OSA screening and diagnosis in patients with hypertension in an academic safety net primary care clinic: quality improvement project |
title_sort | improving osa screening and diagnosis in patients with hypertension in an academic safety net primary care clinic: quality improvement project |
topic | BMJ Quality Improvement Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717931/ https://www.ncbi.nlm.nih.gov/pubmed/29435504 http://dx.doi.org/10.1136/bmjoq-2017-000105 |
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