Strategies to Improve COVID-19 Vaccination in a Pregnant, Marginalized Population: Quality Improvement Project.

Objectives. To improve COVID-19 vaccination rates in pregnant and recently pregnant women from a baseline rate of 30.8% to 60% over 6 months in a marginalized population. Methods. This quality improvement (QI) project was conducted in a federally qualified health center in Western New York between November 2021 and April 2022, using a Lean Six Sigma method. The QI team created a fishbone diagram, process flow map, and driver diagram. Significant barriers were multiple preferred languages, limited health literacy, and a knowledge gap. Increased vaccination rates were the outcome measure. The process measures were attendance at educational events and increased knowledge in community health workers (CHWs) and doulas. Education for CHWs and patients, creating multilingual educational resources, and motivational interviewing sessions for CHWs and patients were the major interventions. We performed data analysis by using weekly run charts and a statistical process control chart. Results. We achieved a sustainable increase in the COVID-19 vaccination rates in women from 30.0% to 48% within 6 months. Conclusions. Patient education in their preferred languages and at health literacy levels and CHWs' engagement played a crucial role in achieving success. (Am J Public Health. 2024;114(S4):S322-S329. https://doi.org/10.2105/AJPH.2024.307665).

Advancing health equity in improving breast cancer screening with the use of a mobile mammography bus in marginalised population: quality improvement project.

BACKGROUND: Breast cancer, the second leading cause of cancer-related deaths in women in the USA, is effectively treated through early detection and screening. This quality improvement (QI) project aimed to improve mammography screening rates from the baseline of 50% to 60% within 12 months for patients aged 50-74 years at an Internal Medicine Clinic. METHODS: We used the Plan, Do, Study, Act (PDSA) model. A multidisciplinary team used a fishbone diagram to identify barriers to suboptimal screening. The QI team created a driver diagram and process flow map. The mammogram screening rate was the outcome measure. Mammogram order and completion rates were the process measures. We implemented six PDSA cycles. Major interventions included the use of a nurse navigator, enhancements in health information technology, and education to patients, providers, and nursing staff. Mammograms were offered in a mobile bus, located in the hospital campus and in under-resourced inner-city neighbourhoods to improve the access. Data analysis was performed using monthly statistical process control charts. RESULTS: The project exceeded its initial goal, achieving a breast cancer screening rate of 66% (n=490 of 744) during the study period and was sustainable at 69%, 3 months post-project. The mammogram order rate was 58% (n=432 of 744) and completion rate was 53% (n=231 of 432) within 12 months. CONCLUSIONS: We attributed the success of this QI project to the education of patients, nurses and physicians, the use of a nurse navigator and engagement of a multidisciplinary team. Access to mobile mammography bus addressed the social determinants of health barriers in a marginalised population.

Early Recognition and Successful Treatment of Anti-synthetase Syndrome.

Anti-synthetase syndrome is an autoimmune disorder that is characterized by inflammatory myopathy, non-erosive polyarthritis, interstitial lung disease in addition to the presence of anti-aminoacyl t-RNA synthetase antibody. It can have variable presentations posing a major diagnostic challenge. Recognition of this syndrome is crucial for appropriate, timely therapy to prevent morbidity and mortality. We report the case of a 55-year-old male who initially presented to the emergency department (ED) with sudden onset shortness of breath, low-grade fever, dry cough, fatigue, and severe arthralgia. He was diagnosed with community-acquired pneumonia and was discharged with antibiotics. He then presented to his primary care physician (PCP) with worsening symptoms. A computed tomography (CT) scan of the chest showed the presence of patchy bilateral airspace opacities and infiltrates. He had elevated inflammatory markers and anti-nuclear antibodies (ANAs). Pulmonary function test (PFT) showed a restrictive pattern with a reduction in lung volumes. Further workup revealed the presence of anti-Jo-1 antibodies. In addition, a muscle biopsy was obtained which showed inflammatory myopathy. Lung biopsy was consistent with interstitial fibrosis. The diagnosis of the anti-synthetase syndrome was made and the patient was promptly started on high-dose prednisone and cyclophosphamide which was later switched to azathioprine and tacrolimus due to resistance and side effects. The patient's symptoms improved significantly with the current treatment without any other complications. This case highlights the importance of a thorough history and physical exam by PCP. Prompt communication and care coordination between PCP and specialists (rheumatologist and pulmonologist) are essential to expedite diagnostic testing and initiate treatment early in this disorder.

Deprescribing Proton Pump Inhibitors in an Academic, Primary Care Clinic: Quality Improvement Project.

GOAL: The goal of this study was to reduce the percentage of inappropriately prescribed proton pump inhibitors (PPIs) in patients aged 50 and older from 80% (baseline) to 60% within 12 months in an academic, internal medicine clinic. BACKGROUND: The use of PPIs has increased drastically worldwide. Internal medicine clinic patients had inappropriate use of PPIs for an average of 4 to 5 years. STUDY: A multidisciplinary quality improvement team used the Plan-Do-Study-Act Model of health care improvement and performed a root cause analysis to identify barriers to inappropriate use of PPIs. The outcome measure was the percentage of patients inappropriately prescribed PPI. Process measures were completion rates of PPI risk assessment and esophagogastroduodenoscopy. Interventions included the creation of customized electronic health record templates and education to providers and patients. Analysis was performed using monthly statistical process control charts. RESULTS: The average rate of PPI discontinuation was 51.1% (n=92/180), which corresponds to 30.0% inappropriate PPI usage within 12 months. The mean PPI discontinuation rate in the 1-year prestudy, study and 6 months poststudy period was 2.0%, 32.0%, and 49.7%, respectively. The mean esophagogastroduodenoscopy completion rate was 49.8% from the baseline of <30%. CONCLUSIONS: We achieved a statistically significant and sustainable reduction of inappropriate PPI use to 30% from the baseline rates of 80% and surpassed our goal within 12 months. This quality improvement was unique as no pharmacy personnel was utilized in this process. The multifaceted strategies in a safety-net internal medicine clinic resulted in successful deprescribing of PPI and can be replicated in other setting.

Multifaceted strategies to improve blood pressure control in a primary care clinic: A quality improvement project.

BACKGROUND: Approximately 80% of patients with hypertension in the Internal Medicine Clinic were uncontrolled (BP > 130/80 mmHg), according to the 2017 American College of Cardiology (ACC)/American Heart Association (AHA) hypertension guidelines, leading to increased morbidity and mortality. The aim of this quality improvement (QI) was to improve BP control <130/80 from the baseline rates of 20%-30% and <140/90 from the baseline rates of 40%-60% between ages of 18-75 years, within 12 months. METHODS: We used the Plan-Do-Study-Act method. A multidisciplinary QI team identified barriers by fish bone diagram. Barriers included: 1) Physicians' knowledge gap and clinical inertia in optimization of medications, and 2) Patients' nonadherence to medication and appointments. The outcome measures were the percentage of patients with BP < 140/90 and < 130/80. Process measures included: 1) attendance rates of physician and nurses at educational sessions, 2) medication reconciliation completion rates and 3) care guide order rates. Key interventions were: 1) physicians and nurses' education regarding ACC/AHA guidelines, 2) patient education and engagement and 3) enhancement of health information technology. Data analysis was performed using monthly statistical process control charts. RESULTS: We achieved 62.6% (n = 885/1426) for BP < 140/90 and 24.47% (n = 349/1426) for BP < 130/80 within 12 months project period. We sustained and exceeded at 72.64% (n = 945/1301) for BP < 140/90 and 44.58% (n = 580/1301) for BP < 130/80 during the 10 months post-project period. CONCLUSIONS: Overcoming physician clinical inertia, enhancing patient adherence to appointments and medications, and a high functioning multidisciplinary team were the key drivers for the success.

Optimisation of diagnosis and treatment of heart failure in a primary care setting.

BACKGROUND: Heart failure (HF) is one of the leading causes of emergency department visits and hospital admissions in the USA. We identified a gap in the diagnosis and the use of guideline-directed medical therapy in patients with HF at the internal medicine clinic. AIM: To improve the diagnosis and treatment of HF, as well as to reduce emergency department visits and hospitalisation over 12 months in patients aged 40-75 years. METHODS: The multidisciplinary quality improvement (QI) team performed a root cause analysis and identified barriers to optimal guideline-directed medical therapy. Rates of patients on guideline-directed medical therapy with systolic HF diagnosis, emergency department visits and hospital admissions were the outcome measures. The process measures included echocardiogram order and completion rates, and rates of accurate classification of HF from the baseline rate of less than 10%. We used the focus, analyse, develop, execute and evaluate (FADE) model with five improvement cycles. The major components of interventions included (1) leveraging health information technology; (2) optimising teamwork; and (3) providing education to patients, physicians and internal medicine clinic staff. Data were analysed using statistical process control and run charts. RESULTS: We observed a reduction in the total number of emergency department visits (160 vs 108), hospital admissions (117 vs 114) and observation visits (22 vs 16) comparing the 1-year preproject and 1-year postproject periods. An increase in the use of ACE inhibitors or angiotensin receptor blockers occurred from the baseline rate of 20%-37% during the second half of the project and was sustained at 71.4% (median) during 6 months of the postproject period. CONCLUSIONS: We achieved a sustainable increase in the accurate diagnosis of HF and achieved 80% diagnosis during the 6-month poststudy period.

Improving hepatitis C screening and diagnosis in patients born between 1945 and 1965 in a safety-net primary care clinic.

Individuals born between 1945-1965 represent 81% of all persons chronically infected with hepatitis C virus (HCV) in the USA and are largely unaware of their positive status. The baseline HCV screening rate in this population in an academic internal medicine clinic at a US hospital was less than 3.0%. The goal was to increase the rate of HCV screening in patients born between 1945 and 1965 to 20% within 24 months. The quality improvement team used the Plan Do Study Act Model. Outcome measures included HCV antibody screening, HCV RNA positive rate and linkage to hepatology care. Process measures included HCV antibody order and completion rates. The quality improvement team performed a root cause analysis and identified barriers for HCV screening and linkage to care. The key elements of interventions included redesigning nursing workflow, use of health information technology and educating patients, physicians and nursing staff about HCV. The HCV screening rate was 30.3% (391/1291) within 24 months. The HCV antibody positive rate was 43.5% (170/391), and HCV RNA positive rate was 95.3% (162/170). HCV infection was diagnosed in 12.5% (162/1291) of patients or 41.4% (162/391) of the screened population. Of those positive, 70% (114/162) were linked to hepatology care within the 24-month project timeframe. Eighty percent of patients seen by a hepatologist were treated with direct-acting antivirals agents. The HCV screening rate was sustained at 25.4% during the post-project 1-year period. Engagement of a multidisciplinary team and education to patients, physicians and nursing staff were the key drivers for success.

Faecal immunochemical testing implementation to increase colorectal cancer screening in primary care.

Colorectal cancer (CRC) is the second leading cause of cancer death in USA, and CRC screening remains suboptimal. The aim of this quality improvement was to increase CRC screening in the internal medicine clinic (IMC) patients, between the ages of 50-75 years, from a baseline rate of 50%-70% over 12 months with the introduction of faecal immunochemical test (FIT) testing. We used the Plan-Do-Study-Act (PDSA) method and performed a root cause analysis to identify barriers to acceptance of CRC screening. The quality improvement team created a driver diagram to identify and prioritise change ideas. We developed a process flow map to optimise opportunities to improve CRC screening. We performed eight PDSA cycles. The major components of interventions included: (1) leveraging health information technology; (2) optimising team work, (3) education to patient, physicians and IMC staff, (4) use of patient navigator for tracking FIT completion and (5) interactive workshops for the staff and physicians to learn motivational interview techniques. The outcome measure included CRC screening rates with either FIT or colonoscopy. The process measures included FIT order and completion rates. Data were analysed using a statistical process control and run charts. Four hundred and seven patients visiting the IMC were offered FIT, and 252 (62%) completed the test. Twenty-two (8.7%) of patients were FIT positive, 14 of those (63.6%) underwent a subsequent diagnostic colonoscopy. We achieved 75% CRC screening with FIT or colonoscopy within 12 months and exceeded our goal. Successful strategies included engaging the leadership, the front-line staff and a highly effective multidisciplinary team. For average-risk patients, FIT was the preferred method of screening. We were able to sustain a CRC screening rate of 75% during the 6-month postproject period. Sustainable annual FIT is required for successful CRC screening.

Optimisation of lipids for prevention of cardiovascular disease in a primary care.

The 2013 American College of Cardiology/American Heart Association (ACC/AHA) guidelines focus on atherosclerotic cardiovascular disease (ASCVD) risk reduction, using a Pooled Cohort Equation to calculate a patient's 10-year risk score, which is used to guide initiation of statin therapy. We identified a gap of evidence-based treatment for hyperlipidaemia in the Internal Medicine Clinic. Therefore, the aim of this study was to increase calculation of ASCVD risk scores in patients between the ages of 40 and 75 years from a baseline rate of less than 1% to 10%, within 12 months, for primary prevention of ASCVD. Root cause analysis was performed to identify materials/methods, provider and patient-related barriers. Plan-Do-Study-Act cycles included: (1) creation of customised workflow in electronic health records for documentation of calculated ASCVD risk score; (2) physician education regarding guidelines and electronic health record workflow; (3) refresher training for residents and a chart alert and (4) patient education and physician reminders. The outcome measures were ASCVD risk score completion rate and percentage of new prescriptions for statin therapy. Process measures included lipid profile order and completion rates. Increase in patient wait time, and blood test and medications costs were the balanced measures. We used weekly statistical process control charts for data analysis. The average ASCVD risk completion rate was 14.2%. The mean ASCVD risk completion rate was 4.0%. In eligible patients, the average lipid profile completion rate was 18%. ASCVD risk score completion rate was 33% 1-year postproject period. A team-based approach led to a sustainable increase in ASCVD risk score completion rate. Lack of automation in ASCVD risk score calculation and physician prompts in electronic health records were identified as major barriers. Furthermore, the team identified multiple barriers to lipid blood tests and treatment of increased ASCVD risk based on ACC/AHA guidelines.

Correlates of opiate misuse based on aberrant urine drug tests for patients on chronic opiate therapy in a safety-net, academic primary care clinic.

OBJECTIVE: Determine correlates of opiate misuse based on urine drug test (UDT) among patients on chronic opiate therapy (COT) for chronic noncancer pain. DESIGN: A cross-sectional study. SETTING: Urban, academic clinic. PARTICIPANTS: UDT performed in 206 patients on COT for at least 3 months duration within a one-year period. Patients were classified based on UDT results: (1) Appearance of Opiate Adherence: Positive UDT for prescribed opiate and negative for illicit drugs and nonprescribed control substances; (2) Opiate Misuse; Overt nonadherence: (a) Positive UDT for illicit drugs and/or nonprescribed controlled substances AND positive or negative for prescribed opiates (b) Overdose; (3) Possible opiate nonadherence: Negative for prescribed opiates and negative for illicit and nonprescribed controlled substances. INTERVENTIONS: None. MAIN OUTCOME MEASURES: UDT results, patient demographics, medical history, healthcare adherence, and utilization measures. RESULTS: Of the 206 records analyzed, 80 (38 percent) had appearance of opiate adherence, 91 (44 percent) had misuse, and 35 (17 percent) had possible opiate nonadherence. Analysis was performed comparing misuse and appearance of opiate adherence groups. In bivariate analyses, history of smoking (OR 3.90, 95% CI 1.69-9.03), substance use (OR 7.02, 95% CI 2.56-19.20), missed medical appointments (OR 2.85, 95% CI 1.44-5.63), and nonadherence to other medications correlated with misuse group (OR 18.86, 95% CI 8.73-40.74). In logistic regression, only substance use history (OR 4.32, 95% CI 1.27-14.64) and nonadherence with nonopiate medications (OR 13.22, 95% CI 5.81-30.10) correlated with misuse. CONCLUSIONS: Medication nonadherence and missed appointments for other chronic conditions were significant correlates of opiate misuse.

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 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.