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Redesigning Primary Care to Improve Diabetes Outcomes (the UNITED Study).

ABSTRACT: Objective:The effective redesign of primary care delivery systems to improve diabetes care requires an understanding of which particular components of delivery consistently lead to better clinical outcomes. We identified associations between common systems of care management (SysCMs) and the frequency of meeting standardized performance targets for Optimal Diabetes Care (NQF#0729) in primary care practices.

Research design and methods:A validated survey of 585 eligible family or general internal medicine practices seeing ?30 adult patients with diabetes in or near Minnesota during 2017 evaluated the presence of 62 SysCMs. From 419 (72%) practices completing the survey, NQF#0729 was determined in 396 (95%) from electronic health records, including 215,842 patients with type 1 or type 2 diabetes.

Results:Three SysCMs were associated with higher rates of meeting performance targets across all practices: 1) a systematic process for shared decision making with patients (P = 0.001), 2) checklists of tests or interventions needed for prevention or monitoring of diabetes (P = 0.002), and 3) physician reminders of guideline-based age-appropriate risk assessments due at the patient visit (P = 0.002). When all three were in place, an additional 10.8% of the population achieved recommended performance measures. In subgroup analysis, 15 additional SysCMs were associated with better care in particular types of practices.

Conclusions:Diabetes care outcomes are better in primary care settings that use a patient-centered approach to systematically engage patients in decision making, remind physicians of age-appropriate risk assessments, and provide checklists for recommended diabetes interventions. Practice size and location are important considerations when redesigning delivery systems to improve performance.

SUBMITTER: Peterson KA

PROVIDER: S-EPMC7035583 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Redesigning Primary Care to Improve Diabetes Outcomes (the UNITED Study).

Peterson Kevin A KA Carlin Caroline C Solberg Leif I LI Jacobsen Rachel R Kriel Toni T Eder Milton M

Diabetes care 20191227 3

<h4>Objective</h4>The effective redesign of primary care delivery systems to improve diabetes care requires an understanding of which particular components of delivery consistently lead to better clinical outcomes. We identified associations between common systems of care management (SysCMs) and the frequency of meeting standardized performance targets for Optimal Diabetes Care (NQF#0729) in primary care practices.<h4>Research design and methods</h4>A validated survey of 585 eligible family or g ...[more]

PMID: 31882407

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Project description:In the U.S., where the prevalence of type 2 diabetes has reached epidemic proportions, many patients with this disease are treated by primary care physicians in community-based systems, including accountable care organisations (ACOs). To address gaps in the quality of diabetes care, national quality measures have been established, including patient-centered measures adopted by the Centers for Medicare and Medicaid Services for its Shared Savings Program for ACOs. From a patient-centered perspective, high-quality diabetes care depends on effective communication between clinicians and patients, along with patient education and counseling about medications and lifestyle. We designed and implemented a quality improvement (QI) program for 30 primary care physicians treating patients with type 2 diabetes in three structurally similar but geographically diverse ACOs. Retrospective chart audits were conducted before (n = 300) and after (n = 300) each physician participated in accredited continuing medical education (CME) courses that focused on QI strategies. Randomly selected charts were audited to measurably assess essential interventions for improved outcomes in type 2 diabetes including the physicians' documentation of patient counseling and assessment of side effects, and patients' medication adherence status and changes in hemoglobin A1C (A1C) and body mass index (BMI). Paced educational interventions included a private performance improvement Internet live course conducted for each physician, small-group Internet live courses involving peer discussion, and a set of enduring materials, which were also multi-accredited for all clinicians in the physician's practice. Continual improvement cycles were guided by analysis of the baseline chart audits, quantitative survey data, and qualitative feedback offered by participants. To extend the benefit of the education, the enduring materials were offered to the interprofessional team of clinicians throughout the U.S. who did not participate in the QI program. For brevity, this article presents outcomes of the 30 primary care physicians. Baseline to post-education improvements were observed for percentages of charts with documented assessment of medication side effects (+11%) and counseling about medication risks/benefits (+28%), medication adherence (+13%), and lifestyle modifications (+8%). Improvements were also observed for documented adherence to diabetes medications (+24%) and first-to-last visit changes in A1C (-0.16%) and BMI (-2.1). The findings indicate a positive influence of QI education on primary care physicians' performance of patient-centered quality measures and patient outcomes.

Project description:BACKGROUND: Electronic diabetes registers promote structured care and enable identification of undiagnosed diabetes, but they require consistent coding of the diagnosis in electronic medical records. We investigated the potential of electronic medical records to identify undiagnosed diabetes and to support diabetes management in a large primary care population in the United States. METHODS: We conducted a cross-sectional study and retrospective observational cohort analysis of primary care electronic medical records from a nationally representative US database (GE Centricity). We tested the feasibility of identifying patients with undiagnosed diabetes by applying simple algorithms to the electronic medical record data. We compared the quality of care provided to patients in the United States who had diabetes (coded and uncoded) for at least 15 months with the quality of care provided in England using a set of 16 indicators. RESULTS: We included 11 540 454 electronic medical records from more than 9000 primary care clinics across the United States. Of the 1 110 398 records indicating diagnosed diabetes, only 61.9% contained a diagnostic code. Of the 10 430 056 records for nondiabetic patients, 0.4% (n = 40 359) had at least 2 abnormal fasting or random blood glucose values, and 0.2% (n = 23 261) of the remaining records had at least 1 documented glycated hemoglobin (HbA1c) value of 6.5% or higher. Among the 622 260 patients for whom information on quality-of-care indicators was available, those with a coded diagnosis of diabetes had a significantly higher level of quality of care than those with uncoded diabetes (p < 0.01); however, the quality of care was generally lower than that indicated in England. INTERPRETATION: We were able to identify a substantial number of patients with uncoded diabetes and probable undiagnosed diabetes using simple algorithms applied to the primary care electronic records. Electronic coding of the diagnosis was associated with improved quality of care. Electronic diabetes registers are underused in US primary care and provide opportunities to facilitate the systematic, structured approach that is established in England.

Project description:BackgroundEfforts to improve primary care diabetes management have assessed strategies across heterogeneous groups of patients and practices. However, there is substantial variability in how well practices implement interventions and achieve desired outcomes.ObjectiveTo examine practice contextual features that moderate intervention effectiveness.DesignSecondary analysis of data from a cluster randomized trial of three approaches for implementing the Chronic Care Model to improve diabetes care.ParticipantsForty small to mid-sized primary care practices participated, with 522 clinician and staff member surveys. Outcomes were assessed for 822 established patients with a diagnosis of type 2 diabetes who had at least one visit to the practice in the 18 months following enrollment.Main measuresThe primary outcome was a composite measure of diabetes process of care, ascertained by chart audit, regarding nine quality measures from the American Diabetes Association Physician Recognition Program: HgA1c, foot exam, blood pressure, dilated eye exam, cholesterol, nephropathy screen, flu shot, nutrition counseling, and self-management support. Data from practices included structural and demographic characteristics and Practice Culture Assessment survey subscales (Change Culture, Work Culture, Chaos).Key resultsAcross the three implementation approaches, demographic/structural characteristics (rural vs. urban + .70(p = .006), +2.44(p < .001), -.75(p = .004)); Medicaid: < 20 % vs. ≥ 20 % (-.20(p = .48), +.75 (p = .08), +.60(p = .02)); practice size: < 4 clinicians vs. ≥ 4 clinicians (+.56(p = .02), +1.96(p < .001), +.02(p = .91)); practice Change Culture (high vs. low: -.86(p = .048), +1.71(p = .005), +.34(p = .22)), Work Culture (high vs. low: -.67(p = .18), +2.41(p < .001), +.67(p = .005)) and variability in practice Change Culture (high vs. low: -.24(p = .006), -.20(p = .0771), -.44(p = .0019) and Work Culture (high vs. low: +.56(p = .3160), -1.0(p = .008), -.25 (p = .0216) were associated with trajectories of change in diabetes process of care, either directly or differentially by study arm.ConclusionsThis study supports the need for broader use of methodological approaches to better examine contextual effects on implementation and effectiveness of quality improvement interventions in primary care settings.

Project description:BackgroundTeam care improves processes and outcomes of care, especially for patients with complex medical conditions that require coordination of care. This study aimed to compare the processes and outcomes of care provided to older patients with diabetes by primary care teams comprised of only primary care physicians (PCPs) versus team care that included nurse practitioners (NPs) or physician assistants (PAs).MethodsWe studied 3,524 primary care practices identified via social network analysis and 306,741 patients ≥66 years old diagnosed with diabetes in or before 2015 in Medicare data. Guideline-recommended diabetes care included eye examination, hemoglobin A1c test, and nephropathy monitoring. High-risk medications were based on recommendations from the American Geriatrics Society Beers Criteria for Potentially Inappropriate Medication Use in Older Adults. Preventable hospitalizations were defined as hospitalizations for a potentially preventable condition.ResultsCompared with patients in the PCP only teams, patients in the team care practices with NPs or PAs received more guideline-recommended diabetes care (annual eye exam: adjusted odds ratio (aOR): 1.04 (95% CI: 1.00-1.08), 1.08 (95% CI: 1.03-1.13), and 1.10 (95% CI: 1.05-1.15), and HbA1C test: aOR: 1.11 (95% CI: 1.04-1.18), 1.11 (95% CI: 1.02-1.20), and 1.15 (95% CI: 1.06-1.25) for PCP/NP, PCP/NP/PA, and PCP/PA teams). Patients in the PCP/NP and the PCP/PA teams had a slightly higher likelihood of being prescribed high-risk medications (aOR: 1.03 (95% CI: 1.00-1.07), and 1.06 (95% CI: 1.02-1.11), respectively). The likelihood of preventable hospitalizations was similar among patients cared for by various types of practices.ConclusionThe team care practices with NPs or PAs were associated with better adherence to clinical practice guideline recommendations for diabetes compared to PCP only practices. Both practices had similar outcomes. Further efforts are needed to explore new and cost-effective team-based care delivery models that improve process, outcomes, and continuity of care, as well as patient care experiences.

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Redesigning Primary Care to Improve Diabetes Outcomes (the UNITED Study).

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Redesigning Primary Care to Improve Diabetes Outcomes (the UNITED Study).

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