| Literature DB >> 34700325 |
Carly Levitz, Maggie Jones, Jean Nudelman, Michael Cox, Diana Camacho, Alexis Wielunski, Michael Rothman, Juliane Tomlin, Marc Jaffe.
Abstract
ABSTRACT: Those with diabetes are at an increased risk of cardiovascular disease (CVD). Safety net clinics serve populations that bear a significant burden of disease and disparities and are a key setting in which to focus on reducing CVD. An integrated health system provided funding and technical assistance (TA) to safety net organizations (community health centers and public hospitals) in Northern California to decrease the risk of cardiovascular events for patients with diabetes. This was a program called Preventing Heart Attacks and Strokes Everyday (PHASE), which combined an evidence-based medication protocol with population health management and team-based care strategies. The TA supported organizations by sharing best practices, providing quality improvement coaching, and facilitating peer learning. A mixed-methods evaluation found that organizations involved in PHASE improved rates of blood pressure control and cardioprotective medication prescriptions for patients with diabetes. They made progress on these measures through strategies such as leveraging team-based care, providing education on evidence-based protocols, and using data to drive improvements. The evaluation concluded that financially supporting and providing focused TA to safety net organizations can help them build capacity and leverage their strengths to improve outcomes and potentially decrease the risk of heart attacks and strokes in communities.Entities:
Mesh:
Year: 2022 PMID: 34700325 PMCID: PMC8887839 DOI: 10.1097/JHQ.0000000000000332
Source DB: PubMed Journal: J Healthc Qual ISSN: 1062-2551 Impact factor: 1.028
Clinical Quality Measure Definitions
| Numerator | Denominator | |
| Blood pressure control for those with diabetes ages 18–75 | # of patients with diabetes aged 18–75 who have a blood pressure of <140/90 mm Hg at the most recent visit during the past measurement year | Patients aged 18–75 with at least two outpatient visits, observation visits, emergency department visits, or nonacute inpatient on different dates of service, with a diagnosis of diabetes during the measurement year or year prior OR with at least one acute inpatient encounter with a diagnosis of diabetes during the measurement year or year prior. |
| Prescription of ACE/ARB for those with diabetes aged 55–75 | # of patients with diabetes aged 55–75 who have been prescribed an ACE or ARB, where the medication order is current at some point during the measurement year | # of patients aged 55–75 with at least two outpatient visits, observation visits, emergency department visits, or nonacute inpatient on different dates of service, with a diagnosis of diabetes during the measurement year or year prior OR with at least one acute inpatient encounter with a diagnosis of diabetes during the measurement year or year prior. |
| Prescription of statin for those with diabetes aged 55–75 | # of patients with diabetes aged 55–75 who have been prescribed a statin, where the medication order is current at some point during the measurement year | # of patients aged 55–75 with at least two outpatient visits, observation visits, emergency department visits, or nonacute inpatient on different dates of service, with a diagnosis of diabetes during the measurement year or year prior OR with at least one acute inpatient encounter with a diagnosis of diabetes during the measurement year or year prior |
ACE = angiotensin-converting enzyme; ARB = angiotensin receptor blocker.
Number of Sites Reporting Data by the Measurement Period and Variable for Clinical Quality Measures
| Measurement period | Number of sites submitting data for blood pressure control for those with diabetes | Number of sites submitting data for prescription measures |
| April 1, 2016, to March 31, 2017 | 45 | 27 |
| July 1, 2016, to June 30, 2017 | 48 | 47 |
| October 1, 2016, to September 30, 2017 | 47 | 48 |
| January 1, 2017, to December 31, 2017 | 57 | 56 |
| April 1, 2017, to March 31, 2018 | 78 | 82 |
| July 1, 2017, to June 30, 2018 | 86 | 86 |
| October 1, 2017, to September 30, 2018 | 100 | 100 |
| January 1, 2018, to December 31, 2018 | 102 | 102 |
| April 1, 2018, to March 31, 2019 | 99 | 87 |
| July 1, 2018, to June 30, 2019 | 100 | 88 |
| October 1, 2018, to September 30, 2019 | 101 | 87 |
| January 1, 2019, to December 31, 2019 | 106 | 86 |
Regression Results
| Source: quarterly clinical data reports from the 18-funded organizations (see Table | |||
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| Beta (SE) | 0.35% (0.11%) | 0.06% (0.11%) | 0.41% (0.10%) |
| Intercept (std error) | 72.8% (1.6%) | 72.5% (1.2%) | 74.3% (1.1%) |
Figure 1.Clinical data over time.
Most Common Strategies to Improve Prescription Rates of Cardioprotective Medications
| Source: two surveys of 18 funded organizations; if an organization used the strategy at either of the two time points, they are included in the |
| Used a PHASE champion to support efforts to implement the protocol ( |
| Instituted provider education on guidelines, medication protocol, and/or PHASE on a page ( |
| Used health IT (e.g., EHR and/or population management system) and other tools such as alerts, order sets, or standing orders to help ensure PHASE on a page protocol is followed ( |
| Provided medication adherence support to patients ( |
| Adapted PHASE on a page specifically for organization's use ( |
| Reviewed/shared data on prescription rates by provider to drive provider behavior change ( |
PHASE, Preventing Heart Attacks and Strokes Everyday.
Most common strategies to improve rates of BP control
| Source: two surveys of 18 funded organizations; if an organization used the strategy at either of the two time points, they are included in the |
| Generated EHR and health information technology reports to identify care gaps and drive action to close them ( |
| Trained and assessed staff on specific skills related to BP measurements ( |
| Trained staff in motivational interviewing and/or health coaching ( |
| Used patient engagement/education tools to help patients understand their condition ( |
| Used previsit planning tools informed by data to help care teams identify key actions for the visit ( |
| Implemented workflows for medical assistants to gather key data from patients for productive provider encounter ( |
| Used protocols to ensure that patients and staff follow-up after a visit as planned ( |
| Implemented protocols for staff to follow-up on BP and other key parameters updated between provider visits (e.g., by nurse-only visit or response to out-of-range patient home BP readings) ( |
| Created processes to proactively track and manage patients with hypertension (e.g., outreach, using a registry, nurse-only visits, and responses to out-of-range patient home BP readings) ( |
BP, blood pressure.