e18227 Background: Streptococcus pneumoniae remains a leading cause of serious illness, including bacteremia, meningitis, and pneumonia among adults in the United States. Approximately 10% of all patients with invasive pneumococcal disease die of their illness, but case-fatality rates are higher for immunocompromised adults including cancer patients. Current Center for Disease Control (CDC) guidelines recommend routine use of 13-valent (Prevnar 13) and 23-valent (Pneumovax 23) pneumococcal vaccines (PV) for immunocompromised patients. We conducted a quality improvement (QI) project utilizing our electronic medical record (EMR) system to improve PV compliance (PVC) rates in our patients. Methods: We created automatic reminders called best practice alerts (BPA) and linked them to a smart order set within our EMR that appeared upon opening patient charts. The smart set ordered the correct vaccine in sequence based on CDC guidelines. From August 2015- January 2017, we implemented this BPA for one of six hematology providers and the remaining providers were provided with verbal guidelines and reminders to administer PV to their patients. Results: At baseline only 22% of 3000 hematology patients within the practice had received PV. The pilot provider with the BPA linked to a smart order set within the EMR improved PVC within his patients from 23% to 66%. Providers who were just given verbal guidelines improved PVC from an average of 22% to 45%. The difference in the improvement between the pilot provider and the reference group is 21% (p < 0.001). Conclusions: In an EMR era, we took advantage of the tools within our system to improve PVC rates. BPA linked to a smart order set within the EMR provided better means of improving PVC than verbal prompts in high-risk immunocompromised patients. Additionally, the increase in PVC throughout the hematology practice is due to primary care providers using similar reminders within the same EMR. The PV BPA will be conducted as a standard of care in our clinic and will be expanded to oncology patients as well.
Primary care plays a critical role in screening and management of depression. The purpose of this paper is to focus on leveraging the electronic health record (EHR) as well as work flow redesign to improve the efficiency and reliability of the process of depression screening in two adult primary care clinics of a rural academic institution in USA.The authors utilized various process improvement tools from lean six sigma methodology including project charter, swim lane process maps, critical to quality tree, process control charts, fishbone diagrams, frequency impact matrix, mistake proofing and monitoring plan in Define-Measure-Analyze-Improve-Control format. Interventions included change in depression screening tool, optimization of data entry in EHR. EHR data entry optimization; follow up of positive screen, staff training and EHR redesign.Depression screening rate for office-based primary care visits improved from 17.0 percent at baseline to 75.9 percent in the post-intervention control phase (p<0.001). Follow up of positive depression screen with Patient History Questionnaire-9 data collection remained above 90 percent. Duplication of depression screening increased from 0.6 percent initially to 11.7 percent and then decreased to 4.7 percent after optimization of data entry by patients and flow staff.Impact of interventions on clinical outcomes could not be evaluated.Successful implementation, sustainability and revision of a process improvement initiative to facilitate screening, follow up and management of depression in primary care requires accounting for voice of the process (performance metrics), system limitations and voice of the customer (staff and patients) to overcome various system, customer and human resource constraints.
Abstract Background: Online patient portals have the potential to improve patient engagement and health care outcomes. This is especially true among rural patient populations that may live far from their health care providers and have transportation barriers to access care. This study compared the characteristics of active users of an online patient portal to non-users and assessed utilization among users in a rural academic primary care clinic to identify disparities in adoption and use. Methods: We conducted a cross sectional study of 28,028 patients in a general internal medicine clinic between June 2019 and May 2020 to assess a) characteristics of patients who had an online patient portal account and used the patient portal compared to those who did not register for an account, and b) the frequency of use of the patient portal (number of logons and number of messages sent and received) by patients over the study period. We compared results based on demographic characteristics, focusing on gender, age, race, presence or absence of nine chronic illnesses, smoking status, and BMI. Results: In the study cohort of 28,028 patients, 82% were active users of the patient portal. Females, patients aged 41-65, and non-smokers were more likely to use the portal than their counterparts. In total, patients with eight out of nine chronic illness groups studied (heart failure, cerebrovascular disease, history of a myocardial infarction, peripheral vascular disease, and renal disease) were less likely to use the patient portal than patients without these chronic conditions. On average, patients log onto the patient portal 25 times per year and send and receive 6 messages to and from the clinic. We found that females, patients older than 65, former smokers and obese patients logged on and sent and received more messages compared to the overall cohort. Although the sample size was small, on average Black patients logged onto the patient portal 19 times and sent and received 3.6 messages compared to White patients who logged on 25 times with 5.8 messages on average over the yearlong study period. Conclusions: In a rural academic internal medicine clinic, female patients, aged 41-65, non-smokers, and those without certain chronic conditions were more likely to use an online patient portal. Recognizing and addressing barriers to patient portal use is essential for robust and sustained patient portal uptake and ensuring that the benefits of portal use are equally distributed among all patients.
Despite progress in developing learning health systems (LHS) and associated metrics of success, a gap remains in identifying measures to guide the implementation and assessment of the impact of an oncology LHS. Our aim was to identify a balanced set of measures to guide a person-centered oncology LHS.A modified Delphi process and clinical value compass framework were used to prioritize measures for tracking LHS performance. A multidisciplinary group of 77 stakeholders, including people with cancer and family members, participated in 3 rounds of online voting followed by 50-minute discussions. Participants rated metrics on perceived importance to the LHS and discussed priorities.Voting was completed by 94% of participants and prioritized 22 measures within 8 domains. Patient and caregiver factors included clinical health (Eastern Cooperative Oncology Group Performance Status, survival by cancer type and stage), functional health and quality of life (Patient Reported Outcomes Measurement Information System [PROMIS] Global-10, Distress Thermometer, Modified Caregiver Strain Index), experience of care (advance care planning, collaboRATE, PROMIS Self-Efficacy Scale, access to care, experience of care, end-of-life quality measures), and cost and resource use (avoidance and delay in accessing care and medications, financial hardship, total cost of care). Contextual factors included team well-being (Well-being Index; voluntary staff turnover); learning culture (Improvement Readiness, compliance with Commission on Cancer quality of care measures); scholarly engagement and productivity (institutional commitment and support for research, academic productivity index); and diversity, equity, inclusion, and belonging (screening and follow-up for social determinants of health, inclusivity of staff and patients).The person-centered LHS value compass provides a balanced set of measures that oncology practices can use to monitor and evaluate improvement across multiple domains.
Online patient portals have the potential to improve patient engagement and health care outcomes. This is especially true among rural patient populations that may live far from their health care providers and for whom transportation is a barrier to accessing care. This study compared the characteristics of active users of an online patient portal to non-users and assessed utilization among users in a rural academic primary care clinic to identify disparities in adoption and use.We conducted a cross sectional study of 28,028 patients in a general internal medicine clinic between June 2019 and May 2020 to assess (a) characteristics of patients who had an online patient portal account and used the patient portal compared to those who did not register for an account, and (b) the frequency of use of the patient portal (number of logons and number of messages sent and received) by patients over the study period. We compared results based on demographic characteristics, focusing on gender, age, race, presence or absence of nine chronic illnesses, smoking status, and BMI.In the study cohort of 28,028 patients, 82% were active users of the patient portal. Females, patients aged 41-65, and non-smokers were more likely to use the portal than their counterparts. In total, patients with eight out of nine chronic illness groups studied (heart failure, cerebrovascular disease, history of a myocardial infarction, peripheral vascular disease, and renal disease) were less likely to use the patient portal than patients without these chronic conditions. On average, patients log onto the patient portal 25 times per year and send and receive 6 messages to and from the clinic. We found that females, patients older than 65, former smokers and obese patients logged on and sent and received more messages compared to the overall cohort. Although the sample size was small, on average Black patients logged onto the patient portal 19 times and sent and received 3.6 messages compared to White patients who logged on 25 times with 5.8 messages on average over the yearlong study period.In a rural academic internal medicine clinic, female patients, aged 41-65, non-smokers, and those without certain chronic conditions were more likely to use an online patient portal. Recognizing and addressing barriers to patient portal use is essential for robust and sustained patient portal uptake and ensuring that the benefits of portal use are equally distributed among all patients.
Importance Realizing the benefits of cancer screening requires testing of eligible individuals and processes to ensure follow-up of abnormal results. Objective To test interventions to improve timely follow-up of overdue abnormal breast, cervical, colorectal, and lung cancer screening results. Design, Setting, and Participants Pragmatic, cluster randomized clinical trial conducted at 44 primary care practices within 3 health networks in the US enrolling patients with at least 1 abnormal cancer screening test result not yet followed up between August 24, 2020, and December 13, 2021. Intervention Automated algorithms developed using data from electronic health records (EHRs) recommended follow-up actions and times for abnormal screening results. Primary care practices were randomized in a 1:1:1:1 ratio to (1) usual care, (2) EHR reminders, (3) EHR reminders and outreach (a patient letter was sent at week 2 and a phone call at week 4), or (4) EHR reminders, outreach, and navigation (a patient letter was sent at week 2 and a navigator outreach phone call at week 4). Patients, physicians, and practices were unblinded to treatment assignment. Main Outcomes and Measures The primary outcome was completion of recommended follow-up within 120 days of study enrollment. The secondary outcomes included completion of recommended follow-up within 240 days of enrollment and completion of recommended follow-up within 120 days and 240 days for specific cancer types and levels of risk. Results Among 11 980 patients (median age, 60 years [IQR, 52-69 years]; 64.8% were women; 83.3% were White; and 15.4% were insured through Medicaid) with an abnormal cancer screening test result for colorectal cancer (8245 patients [69%]), cervical cancer (2596 patients [22%]), breast cancer (1005 patients [8%]), or lung cancer (134 patients [1%]) and abnormal test results categorized as low risk (6082 patients [51%]), medium risk (3712 patients [31%]), or high risk (2186 patients [18%]), the adjusted proportion who completed recommended follow-up within 120 days was 31.4% in the EHR reminders, outreach, and navigation group (n = 3455), 31.0% in the EHR reminders and outreach group (n = 2569), 22.7% in the EHR reminders group (n = 3254), and 22.9% in the usual care group (n = 2702) (adjusted absolute difference for comparison of EHR reminders, outreach, and navigation group vs usual care, 8.5% [95% CI, 4.8%-12.0%], P &lt; .001). The secondary outcomes showed similar results for completion of recommended follow-up within 240 days and by subgroups for cancer type and level of risk for the abnormal screening result. Conclusions and Relevance A multilevel primary care intervention that included EHR reminders and patient outreach with or without patient navigation improved timely follow-up of overdue abnormal cancer screening test results for breast, cervical, colorectal, and lung cancer. Trial Registration ClinicalTrials.gov Identifier: NCT03979495
Transitional Care Management (TCM) is a reimbursable service designed to minimize hospital readmissions. We describe a multifaceted approach to increase TCM services among 107 primary care providers in a rural catchment area of 4250 square miles.
Objective:
The primary objective was to increase use of TCM phone calls, office visits, and billing codes; the secondary objective was to decrease hospital readmissions.
Methods:
We utilized a learning health system model, an improvement support team (IST), and a learning collaborative that included webinars and in-person support. The process emphasized user-centered system redesign, coaching, electronic health record (EHR) improvements, and real-time feedback. Analyses included statistical process control charts, box plots, analysis of variance, and t-tests.
Results:
The IST engaged stakeholders to design and test TCM workflows and EHR prototypes. This resulted in rapid, iterative improvements and system-wide spread of new processes. In the month following implementation, TCM calls and visits quadrupled and increased during 18 subsequent months. Pragmatically, most discharged patients (95% in a subsample) did not receive both the TCM call and visit, serving as a comparison group. The Readmission rate for patients receiving complete TCM services was 5.0% (n = 101) versus 11.9% for comparators (n = 2103, P = .03). Billing codes increased initially, then returned to baseline.
Conclusions:
Our approach led to rapid, sustained scaling of TCM calls and visits in a rural primary care group. Patients who received TCM calls and visits had significantly fewer readmissions. Training of new staff, including PCPs, is required for sustainability. Future research is warranted to increase adoption and evaluate additional outcomes including mortality rates, patient satisfaction, and health care economics.
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