The Ability of Primary Care Practices to Measure and Report on Care Quality.

BACKGROUND: Creating useful clinical quality measure (CQM) reports in a busy primary care practice is known to depend on the capability of the electronic health record (EHR). Two other domains may also contribute: supportive leadership to prioritize the work and commit the necessary resources, and individuals with the necessary health information technology (IT) skills to do so. Here we describe the results of an assessment of the above 3 domains and their associations with successful CQM reporting during an initiative to improve smaller primary care practices' cardiovascular disease CQMs. METHODS: The study took place within an AHRQ EvidenceNOW initiative of external support for smaller practices across Washington, Oregon and Idaho. Practice facilitators who provided this support completed an assessment of the 3 domains previously described for each of their assigned practices. Practices submitted 3 CQMs to the study team: appropriate aspirin prescribing, use of statins when indicated, blood pressure control, and tobacco screening/cessation. RESULTS: Practices with advanced EHR reporting capability were more likely to report 2 or more CQMs. Only one-third of practices were "advanced" in this domain, and this domain had the highest proportion of practices (39.1%) assessed as "basic." The presence of advanced leadership or advanced skills did not appreciably increase the proportion of practices that reported 2 or more CQMs. CONCLUSIONS: Our findings support previous reports of limited EHR reporting capabilities within smaller practices but extend these findings by demonstrating that practices with advanced capabilities in this domain are more likely to produce CQM reports.

Improving Quality Improvement Capacity and Clinical Performance in Small Primary Care Practices.

PURPOSE: We undertook a study to assess whether implementing 7 evidence-based strategies to build improvement capacity within smaller primary care practices was associated with changes in performance on clinical quality measures (CQMs) for cardiovascular disease. METHODS: A total of 209 practices across Washington, Oregon, and Idaho participated in a pragmatic clinical trial that focused on building quality improvement capacity as measured by a validated questionnaire, the 12-point Quality Improvement Capacity Assessment (QICA). Clinics reported performance on 3 cardiovascular CQMs-appropriate aspirin use, blood pressure (BP) control (<140/90 mm Hg), and smoking screening/cessation counseling-at baseline (2015) and follow-up (2017). Regression analyses with change in CQM as the dependent variable allowed for clustering by practice facilitator and adjusted for baseline CQM performance. RESULTS: Practices improved QICA scores by 1.44 points (95% CI, 1.20-1.68; P <.001) from an average baseline of 6.45. All 3 CQMs also improved: aspirin use by 3.98% (average baseline = 66.8%; 95% CI for change, 1.17%-6.79%; P = .006); BP control by 3.36% (average baseline = 61.5%; 95% CI for change, 1.44%-5.27%; P = .001); and tobacco screening/cessation counseling by 7.49% (average baseline = 73.8%; 95% CI for change, 4.21%-10.77%; P <.001). Each 1-point increase in QICA score was associated with a 1.25% (95% CI, 0.41%-2.09%, P = .003) improvement in BP control; the estimated likelihood of reaching a 70% BP control performance goal was 1.24 times higher (95% CI, 1.09-1.40; P <.001) for each 1-point increase in QICA. CONCLUSION: Improvements in clinic-level performance on BP control may be attributed to implementation of 7 evidence-based strategies to build quality improvement capacity. These strategies were feasible to implement in small practices over 15 months.

Place Matters: Closing the Gap on Rural Primary Care Quality Improvement Capacity-the Healthy Hearts Northwest Study.

CONTEXT: To compare rural independent and health system primary care practices with urban practices to external practice facilitation support in terms of recruitment, readiness, engagement, retention, and change in quality improvement (QI) capacity and quality metric performance. METHODS: The setting consisted of 135 small or medium-sized primary care practices participating in the Healthy Hearts Northwest quality improvement initiative. The practices were stratified by geography, rural or urban, and by ownership (independent [physician-owned] or system-owned [health/hospital system]). The quality improvement capacity assessment (QICA) survey tool was used to measure QI at baseline and after 12 months of practice facilitation. Changes in 3 clinical quality measures (CQMs)-appropriate aspirin use, blood pressure (BP) control, and tobacco use screening and cessation-were measured at baseline in 2015 and follow-up in 2017. RESULTS: Rural practices were more likely to enroll in the study, with 1 out of 3.5 rural recruited practices enrolled, compared with 1 out of 7 urban practices enrolled. Rural independent practices had the lowest QI capacity at baseline, making the largest gain in establishing a regular QI process involving cross-functional teams. Rural independent practices made the greatest improvement in meeting the BP control CQM, from 55.5% to 66.1% (P ≤ .001) and the smoking cessation metric, from 72.3% to 86.7% (P ≤ .001). CONCLUSIONS: Investing practice facilitation and sustained QI strategies in rural independent practices, where the need is high and resources are low, will yield benefits that outweigh centrally prescribed models.

Practice facilitation to promote evidence-based screening and management of unhealthy alcohol use in primary care: a practice-level randomized controlled trial.

BACKGROUND: Unhealthy alcohol use is the third leading cause of preventable death in the United States. Evidence demonstrates that screening for unhealthy alcohol use and providing persons engaged in risky drinking with brief behavioral and counseling interventions improves health outcomes, collectively termed screening and brief interventions. Medication assisted therapy (MAT) is another effective method for treatment of moderate or severe alcohol use disorder. Yet, primary care clinicians are not regularly screening for or treating unhealthy alcohol use. METHODS AND ANALYSIS: We are initiating a clinic-level randomized controlled trial aimed to evaluate how primary care clinicians can impact unhealthy alcohol use through screening, counseling, and MAT. One hundred and 25 primary care practices in the Virginia Ambulatory Care Outcomes Research Network (ACORN) will be engaged; each will receive practice facilitation to promote screening, counseling, and MAT either at the beginning of the trial or at a 6-month control period start date. For each practice, the intervention includes provision of a practice facilitator, learning collaboratives with three practice champions, and clinic-wide information sessions. Clinics will be enrolled for 6-12 months. After completion of the intervention, we will conduct a mixed methods analysis to identify changes in screening rates, increase in provision of brief counseling and interventions as well as MAT, and the reduction of alcohol intake for patients after practices receive practice facilitation. DISCUSSION: This study offers a systematic process for dissemination and implementation of the evidence-based practice of screening, counseling, and treatment for unhealthy alcohol use. Practices will be asked to implement a process for screening, counseling, and treatment based on their practice characteristics, patient population, and workflow. We propose practice facilitation as a robust and feasible intervention to assist in making changes within the practice. We believe that the process can be replicated and used in a broad range of clinical settings; we anticipate this will be supported by our evaluation of this approach. TRIAL REGISTRATION: ClinicalTrials.gov, ClinicalTrials.gov Identifier: NCT04248023, Registered 5 February 2020.

A Randomized Trial of External Practice Support to Improve Cardiovascular Risk Factors in Primary Care.

PURPOSE: We conducted a randomized controlled trial to compare the effectiveness of adding various forms of enhanced external support to practice facilitation on primary care practices' clinical quality measure (CQM) performance. METHODS: Primary care practices across Washington, Oregon, and Idaho were eligible if they had fewer than 10 full-time clinicians. Practices were randomized to practice facilitation only, practice facilitation and shared learning, practice facilitation and educational outreach visits, or practice facilitation and both shared learning and educational outreach visits. All practices received up to 15 months of support. The primary outcome was the CQM for blood pressure control. Secondary outcomes were CQMs for appropriate aspirin therapy and smoking screening and cessation. Analyses followed an intention-to-treat approach. RESULTS: Of 259 practices recruited, 209 agreed to be randomized. Only 42% of those offered educational outreach visits and 27% offered shared learning participated in these enhanced supports. CQM performance improved within each study arm for all 3 cardiovascular disease CQMs. After adjusting for differences between study arms, CQM improvements in the 3 enhanced practice support arms of the study did not differ significantly from those seen in practices that received practice facilitation alone (omnibus P = .40 for blood pressure CQM). Practices randomized to receive both educational outreach visits and shared learning, however, were more likely to achieve a blood pressure performance goal in 70% of patients compared with those randomized to practice facilitation alone (relative risk = 2.09; 95% CI, 1.16-3.76). CONCLUSIONS: Although we found no significant differences in CQM performance across study arms, the ability of a practice to reach a target level of performance may be enhanced by adding both educational outreach visits and shared learning to practice facilitation.

Assessing quality improvement capacity in primary care practices.

BACKGROUND: Healthy Hearts Northwest (H2N) is a study of external support strategies to build quality improvement (QI) capacity in primary care with a focus on cardiovascular risk factors: appropriate aspirin use, blood pressure control, and tobacco screening/cessation. METHODS: To guide practice facilitator support, experts in practice transformation identified seven domains of QI capacity and mapped items from a previously validated medical home assessment tool to them. A practice facilitator (PF) met with clinicians and staff in each practice to discuss each item on the Quality Improvement Capacity Assessment (QICA) resulting in a practice-level response to each item. We examined the association between the QICA total and sub-scale scores, practice characteristics, a measure of prior experience with managing practice change, and performance on clinical quality measures (CQMs) for the three cardiovascular risk factors. RESULTS: The QICA score was associated with prior experience managing change and moderately associated with two of the three CQMs: aspirin use (r = 0.16, p = 0.049) and blood pressure control (r = 0.18, p = 0.013). Rural practices and those with 2-5 clinicians had lower QICA scores.. CONCLUSIONS: The QICA is useful for assessing QI capacity within a practice and may serve as a guide for both facilitators and primary care practices in efforts to build this capacity and improve measures of clinical quality. TRIAL REGISTRATION: This trial is registered with www.clinicaltrials.gov Identifier# NCT02839382, retrospectively registered on July 21, 2016.

Taking action on overuse: Creating the culture for change.

BACKGROUND: Unnecessary care contributes to high costs and places patients at risk of harm. While most providers support reducing low-value care, changing established practice patterns is difficult and requires active engagement in sustained behavioral, organizational, and cultural change. Here we describe an action-planning framework to engage providers in reducing overused services. METHODS: The framework is informed by a comprehensive review of social science theory and literature, published reports of successful and unsuccessful efforts to reduce low-value care, and interviews with innovators of value-based care initiatives in twenty-three health care organizations across the United States. A multi-stakeholder advisory committee provided feedback on the framework and guidance on optimizing it for use in practice. RESULTS: The framework describes four conditions necessary for change: prioritize addressing low-value care; build a culture of trust, innovation and improvement; establish shared language and purpose; and commit resources to measurements. These conditions foster productive sense-making conversations between providers, between providers and patients, and among members of the health care team about the potential for harm from overuse and reflection on current frequency of use. Through these conversations providers, patients and team members think together as a group, learn how to coordinate individual behaviors, and jointly develop possibilities for coordinated action around specific areas of overuse. CONCLUSIONS: Organizational efforts to engage providers in value-based care focused on creating conditions for productive sense-making conversations that lead to change. IMPLICATIONS: Organizations can use this framework to enhance and strengthen provider engagement efforts to do less of what potentially harms and more of what truly helps patients.

Study protocol for "Healthy Hearts Northwest": a 2 × 2 randomized factorial trial to build quality improvement capacity in primary care.

BACKGROUND: Little attention has been paid to quality improvement (QI) capacity within smaller primary care practices which comprise nearly half of all primary care settings. Strategies for external support to build such capacity include practice facilitation (PF), shared learning opportunities, and educational outreach. Although PF has proven effectiveness, little is known about the comparative effectiveness of combining these strategies. Here, we describe the protocol of the "Healthy Hearts Northwest" (H2N) study, a randomized trial designed to address these questions while improving risk factors for cardiovascular disease. METHODS/DESIGN: The targeted enrollment is 250 smaller primary care practices across Washington, Oregon, and Idaho. The study is utilizing a two-by-two factorial design to assess four different combinations of practice support: PF alone, PF with educational outreach, PF with shared learning opportunities, or PF with both. A mixed methods approach is being used for evaluation and will include data from (1) baseline and follow-up practice and staff surveys; (2) baseline and quarterly clinical performance measurement from each practice on four cardiovascular risk factors: appropriate aspirin use, blood pressure control, lipid management and smoking cessation support; and (3) a quality improvement capacity assessment (QICA) survey used by external practice facilitators to guide improvement efforts. DISCUSSION: Results from this study will inform future large-scale practice improvement initiatives by providing comparisons of promising external practice support strategies and advance our understanding of how to build QI capacity in primary care. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02839382.

Cardiovascular disease in type 2 diabetes: Attributable risk due to modifiable risk factors.

OBJECTIVE: To examine the common clinical and behavioural factors that contribute to cardiovascular disease (CVD) risk (ie, attributable risk) among those with type 2 diabetes. DESIGN: Analysis of data from a larger observational study. Using the validated UK Prospective Diabetes Study risk engine, the primary analysis examined the prevalence and attributable risk of CVD for 4 factors. Multivariable models also examined the association between attributable CVD risk and appropriate self-management behaviour. SETTING: Twenty primary health care clinics in the South Texas area of the United States. PARTICIPANTS: A total of 313 patients with type 2 diabetes mellitus currently receiving primary care services for their condition. MAIN OUTCOME MEASURES: Prevalence of elevated CVD risk factors (glycated hemoglobin [HbA(1c)] levels, blood pressure, lipid levels, and smoking status), the attributable risk owing to these factors, and the association between attributable risk of CVD and diet, exercise, and medication adherence. RESULTS: The mean 10-year CVD risk for the study population (N = 313) was 16.2%, with a range of 6.5% to 48.5% across clinics; nearly one-third of this total risk was attributable to modifiable factors. The primary variable driving risk reduction was HbA(1c) levels, followed by smoking status and lipid levels. Patients who were carefully engaged in monitoring their diets and medications reduced their CVD risk by 44% and 39%, respectively (P < .03). CONCLUSION: Patients with diabetes experience a substantial risk of CVD owing to potentially modifiable behavioural factors. High-quality diabetes care requires targeting modifiable patient factors strongly associated with CVD risk, including self-management behaviour such as diet and medication adherence, to better tailor clinical interventions and improve the health status of individuals with this chronic condition.

Features of the Chronic Care Model (CCM) associated with behavioral counseling and diabetes care in community primary care.

BACKGROUND: The Chronic Care Model (CCM) was developed to improve chronic disease care, but it may also inform delivery of other types of preventive care. Using hierarchical analyses of service delivery to patients, we explored associations of CCM implementation with diabetes care and counseling for diet or weight loss and physical activity in community-based primary care offices. METHODS: Secondary analysis focused on baseline data from 25 practices (with an average of 4 physicians per practice) participating in an intervention trial targeting improved colorectal cancer screening rates. This intervention made no reference to the CCM. CCM implementation was measured through staff and clinical management surveys and was associated with patient care indicators (chart audits and patient questionnaires). RESULTS: Overall, practices had low levels of CCM implementation. However, higher levels of CCM implementation were associated with better diabetes assessment and treatment of patients (P = .009 and .015, respectively), particularly among practices open to "innovation." Physical activity counseling for obese and, particularly, overweight patients was strongly associated with CCM implementation (P = .0017), particularly among practices open to "innovation"; however, this association did not hold for overweight and obese patients with diabetes. CONCLUSIONS: Very modest levels of CCM implementation in unsupported primary care practices are associated with improved care for patients with diabetes and higher rates of behavioral counseling. Incremental incorporation of CCM components is an option, especially for community practices with stretched resources and with cultures of "innovativeness."

Communication competence, self-care behaviors and glucose control in patients with type 2 diabetes.

OBJECTIVE: To examine the relationship between physician communication competence and A1c control among Hispanics and non-Hispanics seen in primary care practices. STUDY DESIGN: Observational. METHODS: Direct observation and audio-recording of patient-physician encounters by 155 Hispanic and non-Hispanic white patients seen by 40 physicians in 20 different primary care clinics. Audio-recordings were transcribed and coded to derive an overall communication competence score for the physician. An exit survey was administered to each patient to assess self-care activities and their medical record was abstracted for the most recent glycosylated hemoglobin (A1c) level. RESULTS: Higher levels of communication competence were associated with lower levels of A1c for Hispanics, but not non-Hispanic white patients. Although communication competence was associated with better self-reported diet behaviors, diet was not associated with A1c control. Across all patients, higher levels of communication competence were associated with improved A1c control after controlling for age, ethnicity and diet adherence. CONCLUSIONS: Physician's communication competence may be more important for promoting clinical success in disadvantaged patients. PRACTICE IMPLICATIONS: Acquisition of communication competence skills may be an important component in interventions to eliminate Hispanic disparities in glucose control.

Risk of coronary artery disease in type 2 diabetes and the delivery of care consistent with the chronic care model in primary care settings: a STARNet study.

BACKGROUND: Modifiable risks for coronary heart disease (CHD) in type 2 diabetes include glucose, blood pressure, lipid control, and smoking. The chronic care model (CCM) provides an organizational framework for improving these outcomes. OBJECTIVE: To examine the relationship between CHD risk attributable to modifiable risk factors among patients with type 2 diabetes and whether care delivered in primary care settings is consistent with the CCM. SUBJECTS/METHODS: Approximately 30 patients in each of 20 primary care clinics. CHD risk factors were assessed by patient survey and chart abstraction. Absolute 10-year CHD risk was calculated using the UK Prospective Diabetes Study risk engine. Attributable risk was calculated by setting all 4 modifiable risk factors to guideline indicated values, recalculating the risk, and subtracting it from the absolute risk. In each clinic, the consistency of care with the CCM was evaluated using the Assessment of Chronic Illness Care (ACIC) survey. RESULTS: Only 15.4% had guideline-recommended control of A1c, blood pressure, and lipids. The absolute 10-year risk CHD was 16.2% (SD 16.6). One-third of this risk, 5.0% (SD 7.4), was attributable to poor risk factor control. After controlling for patient and clinic characteristics, the ACIC score was inversely associated with attributable risk: a 1 point increase in the ACIC score was associated with a 16% (95% CI, 5-26%) relative decrease in attributable risk. DISCUSSION: The degree to which care delivered in a primary care clinic conforms to the CCM is an important predictor of the 10-year risk of CHD among patients with type 2 diabetes.

Association of suboptimal prescribing and change in lower extremity physical function over time.

BACKGROUND: Previous studies have found inconsistent links between suboptimal prescribing and negative patient outcomes. While suboptimal prescribing consists of multiple components, e.g. drugs to avoid in the elderly (DAE), potential drug interactions (PDI) and polypharmacy, most research has focused on the impact of drugs to avoid. This study explores the relationship between suboptimal prescribing, comorbid disease, and change in lower extremity functional limitation (LEFL). METHODS: This prospective cohort study used data from the Hispanic Established Population for the Epidemiologic Study of the Elderly. Baseline data collection occurred between 1993 and 1994 with three additional waves of data collected approximately every 2 years. Based on the disablement process model, the dependent variable was change in LEFL over the 7-year study period. Independent variables included suboptimal prescribing: DAE, PDI and polypharmacy. Measures of pathology included comorbid diseases (stroke, cancer, hypertension, cardiovascular disease, arthritis, and diabetes). Age, gender, education, smoking, cognitive status, depression, body mass index, marital status, and self-reported health were controlled in analyses. RESULTS: Diabetes, stroke, and arthritis were associated with a decline in LEFL. Polypharmacy mediated the relationship between diabetes and LEFL, and polypharmacy was also significantly associated with decrements in LEFL. CONCLUSION: The effect of suboptimal prescribing on change in LEFL was limited to both direct and mediational effects of polypharmacy. Additional research exploring the association between suboptimal prescribing and a variety of quality measures using a diverse set of outcomes would improve our understanding of the impact of suboptimal prescribing more broadly defined.

Suboptimal medication use and mortality in an older adult community-based cohort: results from the Hispanic EPESE Study.

BACKGROUND: Numerous methods have been used to evaluate medication management quality in older adults; however, their predictive validities are unknown. Major medication quality indicators include polypharmacy, drug-drug interactions, and inappropriate medication use. To date, no study has attempted to evaluate the three approaches systematically or the effect of each approach on mortality in a Hispanic population. Our objective was to evaluate the relationship between polypharmacy, drug-drug interactions, and inappropriate medication use on the mortality of a community-based population of Mexican American older adults. METHODS: We used a life table survival analysis of a longitudinal survey of a representative sample of 3,050 older Mexican Americans of whom 1,823 were taking prescription and over-the-counter medications. RESULTS: After adjustment for relevant covariates, use of more than four different medications (polypharmacy) was independently associated with mortality. The presence of major drug interactions and the use of inappropriate medications were not significantly associated with mortality in our study sample. CONCLUSION: Polypharmacy (>4 medications) is significantly associated with mortality in Mexican American older adults. This community-based study is the first to demonstrate a direct association between polypharmacy and mortality in this population.

The patient-physician relationship, primary care attributes, and preventive services.

BACKGROUND: The importance of a sustained relationship between patients and physicians is a defining characteristic of family medicine. This study examined whether there is an association among the length of the patient-physician relationship, various attributes of primary care, and the delivery of clinical preventive services to Medicare beneficiaries. METHODS: The data source for this study was the 1993 Medicare Current Beneficiary Survey. Primary care attribute scales were developed by conducting a factor analysis of 17 survey questions. Three clinical preventive services were measured as outcomes: influenza vaccination, mammography, and an eye examination for diabetics. Path analyses were used to test the relationships between length of relationship, primary care attributes, and delivery of clinical preventive services. RESULTS: As the length of the relationship increased, scores on communication, accumulated knowledge of the patient by the physician, and trust all improved. Length of relationship and communication predicted accumulated knowledge of the patient by the physician, accumulated knowledge predicted trust, and trust predicted delivery of preventive services. CONCLUSIONS: Among elderly Medicare beneficiaries, the ability to develop a sustained relationship with a provider is related to the realization of other important attributes of primary care. Trust was associated with delivery of important clinical preventive services. Efforts should be made to protect the ability of patients and physicians to sustain a relationship over time.