Leading Innovative Practice: Leadership Attributes in LEAP Practices.

Policy Points An onslaught of policies from the federal government, states, the insurance industry, and professional organizations continually requires primary care practices to make substantial changes; however, ineffective leadership at the practice level can impede the dissemination and scale-up of these policies. The inability of primary care practice leadership to respond to ongoing policy demands has resulted in moral distress and clinician burnout. Investments are needed to develop interventions and educational opportunities that target a broad array of leadership attributes. CONTEXT: Over the past several decades, health care in the United States has undergone substantial and rapid change. At the heart of this change is an assumption that a more robust primary care infrastructure helps achieve the quadruple aim of improved care, better patient experience, reduced cost, and improved work life of health care providers. Practice-level leadership is essential to succeed in this rapidly changing environment. Complex adaptive systems theory offers a lens for understanding important leadership attributes. METHODS: A review of the literature on leadership from a complex adaptive system perspective identified nine leadership attributes hypothesized to support practice change: motivating others to engage in change, managing abuse of power and social influence, assuring psychological safety, enhancing communication and information sharing, generating a learning organization, instilling a collective mind, cultivating teamwork, fostering emergent leaders, and encouraging boundary spanning. Through a secondary qualitative analysis, we applied these attributes to nine practices ranking high on both a practice learning and leadership scale from the Learning from Effective Ambulatory Practice (LEAP) project to see if and how these attributes manifest in high-performing innovative practices. FINDINGS: We found all nine attributes identified from the literature were evident and seemed important during a time of change and innovation. We identified two additional attributes-anticipating the future and developing formal processes-that we found to be important. Complexity science suggests a hypothesized developmental model in which some attributes are foundational and necessary for the emergence of others. CONCLUSIONS: Successful primary care practices exhibit a diversity of strong local leadership attributes. To meet the realities of a rapidly changing health care environment, training of current and future primary care leaders needs to be more comprehensive and move beyond motivating others and developing effective teams.

Workforce Configurations to Provide High-Quality, Comprehensive Primary Care: a Mixed-Method Exploration of Staffing for Four Types of Primary Care Practices.

BACKGROUND: Broad consensus exists about the value and principles of primary care; however, little is known about the workforce configurations required to deliver it. OBJECTIVE: The aim of this study was to explore the team configurations and associated costs required to deliver high-quality, comprehensive primary care. METHODS: We used a mixed-method and consensus-building process to develop staffing models based on data from 73 exemplary practices, findings from 8 site visits, and input from an expert panel. We first defined high-quality, comprehensive primary care and explicated the specific functions needed to deliver it. We translated the functions into full-time-equivalent staffing requirements for a practice serving a panel of 10,000 adults and then revised the models to reflect the divergent needs of practices serving older adults, patients with higher social needs, and a rural community. Finally, we estimated the labor and overhead costs associated with each model. RESULTS: A primary care practice needs a mix of 37 team members, including 8 primary care providers (PCPs), at a cost of $45 per patient per month (PPPM), to provide comprehensive primary care to a panel of 10,000 actively managed adults. A practice requires a team of 52 staff (including 12 PCPs) at $64 PPPM to care for a panel of 10,000 adults with a high proportion of older patients, and 50 staff (with 10 PCPs) at $56 PPPM for a panel of 10,000 with high social needs. In rural areas, a practice needs 22 team members (with 4 PCPs) at $46 PPPM to serve a panel of 5000 adults. CONCLUSIONS: Our estimates provide health care decision-makers with needed guideposts for considering primary care staffing and financing and inform broader discussions on primary care innovations and the necessary resources to provide high-quality, comprehensive primary care in the USA.

How Do Innovative Primary Care Practices Achieve the Quadruple Aim?

The Patient-Centered Medical Home (PCMH) now defines excellent primary care. Recent literature has begun to elucidate the components of PCMHs that improve care and reduce costs, but there is little empiric evidence that helps practices, payers, or policy makers understand how high-performing practices have improved outcomes. We report the findings from 38 such practices that fill this gap. We describe how they execute 8 functions that collectively meet patient needs. They include managing populations, providing self-management support coaching, providing integrated behavioral health care, and managing referrals. The functions provide a more actionable perspective on the work of primary care.

Xyloglucan in the primary cell wall: assessment by FESEM, selective enzyme digestions and nanogold affinity tags.

Xyloglucan has been hypothesized to bind extensively to cellulose microfibril surfaces and to tether microfibrils into a load-bearing network, thereby playing a central role in wall mechanics and growth, but this view is challenged by newer results. Here we combined high-resolution imaging by field emission scanning electron microscopy (FESEM) with nanogold affinity tags and selective endoglucanase treatments to assess the spatial location and conformation of xyloglucan in onion cell walls. FESEM imaging of xyloglucanase-digested cell walls revealed an altered microfibril organization but did not yield clear evidence of xyloglucan conformations. Backscattered electron detection provided excellent detection of nanogold affinity tags in the context of wall fibrillar organization. Labelling with xyloglucan-specific CBM76 conjugated with nanogold showed that xyloglucans were associated with fibril surfaces in both extended and coiled conformations, but tethered configurations were not observed. Labelling with nanogold-conjugated CBM3, which binds the hydrophobic surface of crystalline cellulose, was infrequent until the wall was predigested with xyloglucanase, whereupon microfibril labelling was extensive. When tamarind xyloglucan was allowed to bind to xyloglucan-depleted onion walls, CBM76 labelling gave positive evidence for xyloglucans in both extended and coiled conformations, yet xyloglucan chains were not directly visible by FESEM. These results indicate that an appreciable, but still small, surface of cellulose microfibrils in the onion wall is tightly bound with extended xyloglucan chains and that some of the xyloglucan has a coiled conformation.

Design and Implementation of a Physician Coaching Pilot to Promote Value-Based Referrals to Specialty Care.

INTRODUCTION: Referral rates to specialty care from primary care physicians vary widely. To address this variability, we developed and pilot tested a peer-to-peer coaching program for primary care physicians. OBJECTIVES: To assess the feasibility and acceptability of the coaching program, which gave physicians access to their individual-level referral data, strategies, and a forum to discuss referral decisions. METHODS: The team designed the program using physician input and a synthesis of the literature on the determinants of referral. We conducted a single-arm observational pilot with eight physicians which made up four dyads, and conducted a qualitative evaluation. RESULTS: Primary reasons for making referrals were clinical uncertainty and patient request. Physicians perceived doctor-to-doctor dialogue enabled mutual learning and a pathway to return joy to the practice of primary care medicine. The program helped physicians become aware of their own referral data, reasons for making referrals, and new strategies to use in their practice. Time constraints caused by large workloads were cited as a barrier both to participating in the pilot and to practicing in ways that optimize referrals. Physicians reported that the program could be sustained and spread if time for mentoring conversations was provided and/or nonfinancial incentives or compensation was offered. CONCLUSION: This physician mentoring program aimed at reducing specialty referral rates is feasible and acceptable in primary care settings. Increasing the appropriateness of referrals has the potential to provide patient-centered care, reduce costs for the system, and improve physician satisfaction.

Registered Nurses in Primary Care: Emerging New Roles and Contributions to Team-Based Care in High-Performing Practices.

The years since the passage of the Affordable Care Act have seen substantial changes in the organization and delivery of primary care. These changes have emphasized greater team involvement in care and expansion of the roles of each team member including registered nurses (RNs). This study examined the roles of RNs in 30 exemplary primary care practices. We identified the emergence of new roles and activities for RNs characterized by greater involvement in face-to-face patient care and care management, their own daily schedule of patient visits and contacts, and considerable autonomy in the care of their patients.

The safety net medical home initiative: transforming care for vulnerable populations.

BACKGROUND: Despite findings that medical homes may reduce or eliminate health care disparities among underserved and minority populations, most previous medical home pilot and demonstration projects have focused on health care delivery systems serving commercially insured patients and Medicare beneficiaries. OBJECTIVES: To develop a replicable approach to support medical home transformation among diverse practices serving vulnerable and underserved populations. DESIGN: Facilitated by a national program team, convening organizations in 5 states provided coaching and learning community support to safety net practices over a 4-year period. To guide transformation, we developed a framework of change concepts aligned with supporting tools including implementation guides, activity checklists, and measurement instruments. SUBJECTS: Sixty-five health centers, homeless clinics, private practices, residency training centers, and other safety net practices in Colorado, Idaho, Massachusetts, Oregon, and Pennsylvania. MEASURES: We evaluated implementation of the change concepts using the Patient-Centered Medical Home-Assessment, and conducted a survey of participating practices to assess perceptions of the impact of the technical assistance. RESULTS: All practices implemented key features of the medical home model, and nearly half (47.6%) implemented the 33 identified key changes to a substantial degree as evidenced by level A Patient-Centered Medical Home-Assessment scores. Two thirds of practices that achieved substantial implementation did so only after participating in the initiative for >2 years. By the end of the initiative, 83.1% of sites achieved external recognition as medical homes. CONCLUSIONS: Despite resource constraints and high-need populations, safety net clinics made considerable progress toward medical home implementation when provided robust, multimodal support over a 4-year period.

Advanced imaging among health maintenance organization enrollees with cancer.

PURPOSE: Fee-for-service (FFS) Medicare expenditures for advanced imaging studies (defined as computed tomography [CT], magnetic resonance imaging [MRI], positron emission tomography [PET] scans, and nuclear medicine studies [NM]) rapidly increased in the past two decades for patients with cancer. Imaging rates are unknown for patients with cancer, whether under or over age 65 years, in health maintenance organizations (HMOs), where incentives may differ. MATERIALS AND METHODS: Incident cases of breast, colorectal, lung, prostate, leukemia, and non-Hodgkin lymphoma (NHL) cancers diagnosed in 2003 and 2006 from four HMOs in the Cancer Research Network were used to determine 2-year overall mean imaging counts and average total imaging costs per HMO enrollee by cancer type for those under and over age 65. RESULTS: There were 44,446 incident cancer patient cases, with a median age of 75 (interquartile range, 71-81), and 454,029 imaging procedures were performed. The mean number of images per patient increased from 7.4 in 2003 to 12.9 in 2006. Rates of imaging were similar across age groups, with the exception of greater use of echocardiograms and NM studies in younger patients with breast cancer and greater use of PET among younger patients with lung cancer. Advanced imaging accounted for approximately 41% of all imaging, or approximately 85% of the $8.7 million in imaging expenditures. Costs were nearly $2,000 per HMO enrollee; costs for younger patients with NHL, leukemia, and lung cancer were nearly $1,000 more in 2003. CONCLUSION: Rates of advanced imaging appear comparable among FFS and HMO participants of any age with these six cancers.

Performance of claims-based algorithms for identifying heart failure and cardiomyopathy among patients diagnosed with breast cancer.

BACKGROUND: Cardiotoxicity is a known complication of certain breast cancer therapies, but rates come from clinical trials with design features that limit external validity. The ability to accurately identify cardiotoxicity from administrative data would enhance safety information. OBJECTIVE: To characterize the performance of clinical coding algorithms for identification of cardiac dysfunction in a cancer population. RESEARCH DESIGN: We sampled 400 charts among 6460 women diagnosed with incident breast cancer, tumor size ≥ 2 cm or node positivity, treated within 8 US health care systems between 1999 and 2007. We abstracted medical records for clinical diagnoses of heart failure (HF) and cardiomyopathy (CM) or evidence of reduced left ventricular ejection fraction. We then assessed the performance of 3 different International Classification of Diseases, 9th Edition (ICD-9)-based algorithms. RESULTS: The HF/CM coding algorithm designed a priori to balance performance characteristics provided a sensitivity of 62% (95% confidence interval, 40%-80%), specificity of 99% (range, 97% to 99%), positive predictive value (PPV) of 69% (range, 45% to 85%), and negative predictive value (NPV) of 98% (range, 96% to 99%). When applied only to incident HF/CM (ICD-9 codes and gold standard diagnosis both occurring after breast cancer diagnosis) in patients exposed to anthracycline and/or trastuzumab therapy, the PPV was 42% (range, 14% to 76%). CONCLUSIONS: Claims-based algorithms have moderate sensitivity and high specificity for identifying HF/CM among patients with invasive breast cancer. As the prevalence of HF/CM among the breast cancer population is low, ICD-9 codes have high NPV but only moderate PPV. These findings suggest a significant degree of misclassification due to HF/CM overcoding versus incomplete clinical documentation of HF/CM in the medical record.

Assessing progress toward becoming a patient-centered medical home: an assessment tool for practice transformation.

OBJECTIVE: To describe the properties of the Patient-Centered Medical Home Assessment (PCMH-A) as a tool to stimulate and monitor progress among primary care practices interested in transforming to patient-centered medical homes (PCMHs). STUDY SETTING: Sixty-five safety net practices from five states participating in a national demonstration program for PCMH transformation. STUDY DESIGN: Longitudinal analyses of PCMH-A scores were performed. Scores were reviewed for agreement and sites were categorized over time into one of five categories by external facilitators. Comparisons to key activity completion rates and NCQA PCMH recognition status were completed. DATA COLLECTION/EXTRACTION METHODS: Multidisciplinary teams at each practice completed the 33-item self-assessment tool every 6 months between March 2010 and September 2012. PRINCIPAL FINDINGS: Mean overall PCMH-A scores increased (7.2, March 2010, to 9.1, September 2012; [p < .01]). Increases were statistically significant for each of the change concepts (p < .05). Facilitators agreed with scores 82% of the time. NCQA-recognized sites had higher PCMH-A scores than sites that were not yet recognized. Sites that completed more transformation activities and progressed over defined tiers reported higher PCMH-A scores. Scores improved most in areas where technical assistance was provided. CONCLUSIONS: The PCMH-A was sensitive to change over time and provided an accurate reflection of practice transformation.

Evidence gaps in advanced cancer care: community-based clinicians' perspectives and priorities for CER.

OBJECTIVES: Although much effort has focused on identifying national comparative effectiveness research (CER) priorities, little is known about the CER priorities of community-based practitioners treating patients with advanced cancer. CER priorities of managed care-based clinicians may be valuable as reflections of both payer and provider research interests. METHODS: We conducted mixed methods interviews with 10 clinicians (5 oncologists and 5 pharmacists) at 5 health plans within the Health Maintenance Organization Cancer Research Network. We asked, "What evidence do you most wish you had when treating patients with advanced cancer" and questioned participants on their impressions and knowledge of CER and pragmatic clinical trials (PCTs). We conducted qualitative analyses to identify themes across interviews. RESULTS: Ninety percent of participants had heard of CER, 20% had heard of PCTs, and all rated CER/PCTs as highly relevant to patient and health plan decision making. Each participant offered between 3 and 10 research priorities. Half (49%) involved head-to-head treatment comparisons; another 20% involved comparing different schedules or dosing regimens of the same treatment. The majority included alternative outcomes to survival (eg, toxicity, quality of life, noninferiority). Participants cited several limitations to existing evidence, including lack of generalizability, funding biases, and rapid development of new treatments. CONCLUSION: Head-to-head treatment comparisons remain a major evidence need among community- based oncology clinicians, and CER/PCTs are highly valued methods to address the limitations of traditional randomized trials, answer questions of cost-effectiveness or noninferiority, and inform data-driven dialogue and decision making by all stakeholders.

Multipayer patient-centered medical home implementation guided by the chronic care model.

BACKGROUND: A unique statewide multipayer ini Pennsylvania was undertaken to implement the Patient-Centered Medical Home (PCMH) guided by the Chronic Care Model (CCM) with diabetes as an initial target disease. This project represents the first broad-scale CCM implementation with payment reform across a diverse range of practice organizations and one of the largest PCMH multipayer initiatives. METHODS: Practices implemented the CCM and PCMH through regional Breakthrough Series learning collaboratives, supported by Improving Performance in Practice (IPIP) practice coaches, with required monthly quality reporting enhanced by multipayer infrastructure payments. Some 105 practices, representing 382 primary care providers, were engaged in the four regional collaboratives. The practices from the Southeast region of Pennsylvania focused on diabetes patients (n = 10,016). RESULTS: During the first intervention year (May 2008-May 2009), all practices achieved at least Level 1 National Committee for Quality Assurance (NCQA) Physician Practice Connections Patient-Centered Medical Home (PPC-PCMH) recognition. There was significant improvement in the percentage of patients who had evidence-based complications screening and who were on therapies to reduce morbidity and mortality (statins, angiotensin-converting enzyme inhibitors). In addition, there were small but statistically significant improvements in key clinical parameters for blood pressure and cholesterol levels, with the greatest absolute improvement in the highest-risk patients. CONCLUSIONS: Transforming primary care delivery through implementation of the PCMH and CCM supported by multipayer infrastructure payments holds significant promise to improve diabetes care.

Health care costs and participation in a community-based health promotion program for older adults.

INTRODUCTION: EnhanceWellness (EW) is a community-based health promotion program that helps prevent disabilities and improves health and functioning in older adults. A previous randomized controlled trial demonstrated a decrease in inpatient use for EW participants but did not evaluate health care costs. We assessed the effect of EW participation on health care costs. METHODS: We performed a retrospective cohort study in King County, Washington. Enrollees in Group Health Cooperative (GHC), a mixed-model health maintenance organization, who were aged 65 years or older and who participated in EW from 1998 through 2005 were matched 1:3 by age and sex to GHC enrollees who did not participate in EW. We matched 218 EW participants by age and sex to 654 nonparticipants. Participants were evaluated for 1 year after the date they began the program. The primary outcome was total health care costs; secondary outcomes were inpatient costs, primary care costs, percentage of hospitalizations, and number of hospital days. We compared postintervention outcomes between EW participants and nonparticipants by using linear regression. Results were adjusted for prior year costs (or health care use), comorbidity, and preventive health care-seeking behaviors. RESULTS: Mean age of participants and nonparticipants was 79 years, and 72% of participants and nonparticipants were female. Adjusted total costs in the year following the index date were $582 lower among EW participants than nonparticipants, but this difference was not significant. CONCLUSION: Although EW participation demonstrated health benefits, participation does not appear to result in significant health care cost savings among people receiving health care through a health maintenance organization.

Accuracy and complexities of using automated clinical data for capturing chemotherapy administrations: implications for future research.

BACKGROUND: Chemotherapy data are important to almost any study on cancer prognosis and outcomes. However, chemotherapy data obtained from tumor registries may be incomplete, and abstracting chemotherapy directly from medical records can be expensive and time consuming. METHODS: We evaluated the accuracy of using automated clinical data to capture chemotherapy administrations in a cohort of 757 ovarian cancer patients enrolled in 7 health plans in the HMO Cancer Research Network. We calculated sensitivity and specificity with 95% confidence intervals of chemotherapy administrations extracted from 3 automated clinical data sources (Health Care Procedure Coding System, National Drug Codes, and International Classification of Diseases) compared with tumor registry data and medical chart data. RESULTS: Sensitivity of all 3 data sources varied across health plans from 79.4% to 95.2% when compared with tumor registries, and 75.0% to 100.0% when compared with medical charts. The sensitivities using a combination of 3 data sources were 88.6% (95% confidence intervals: 85.7-91.1) compared with tumor registries and 89.5% (78.5-96.0) compared with medical records; specificities were 91.5% (86.4-95.2) and 90.0% (55.5-99.7), respectively. There was no difference in accuracy between women aged < 65 and > or = 65 years. Using one set of codes alone (eg, Health Care Procedure Coding System alone) was insufficient for capturing chemotherapy data at most health plans. CONCLUSIONS: While automated data systems are not without limitations, clinical codes used in combination are useful in capturing chemotherapy more comprehensively than tumor registry and without the need for costly medical record abstraction. Key Words: validation of automated clinical data, chemotherapy, medical chart, tumor registry, ovarian cancer.

Untangling practice redesign from disease management: how do we best care for the chronically ill?

In the past 10 years, a wide spectrum of chronic care improvement interventions has been tried and evaluated to improve health outcomes and reduce costs for chronically ill individuals. On one end of the spectrum are disease-management interventions--often organized by commercial vendors--that work with patients but do little to engage medical practice. On the other end are quality-improvement efforts aimed at redesigning the organization and delivery of primary care and better supporting patient self-management. This qualitative review finds that carve-out disease management interventions that target only patients may be less effective than those that also work to redesign care delivery. Imprecise nomenclature and poor study design methodology limit quantitative analysis. More innovation and research are needed to understand how disease-management components can be more meaningfully embedded within practice to improve patient care.

A comparison of how generalists and fellowship-trained geriatricians provide "geriatric" care.

OBJECTIVES: To determine whether outpatient care provided to older patients by fellowship-trained geriatricians is distinguishable from that provided by generalists. DESIGN: Observational study. SETTING: Three primary care clinics of an academic medical center. PARTICIPANTS: Random sample of 140 adults aged 65 and older receiving primary care at one of the clinics. MEASUREMENTS: A medical chart review involving records of 69 patients receiving primary care from a fellowship-trained geriatrician and 71 patients receiving primary care from a generalist (general internal medicine or family practice) was conducted; information pertaining to two practice behaviors relevant to the care of older adults--avoidance of inappropriate prescribing and proactive assessments for geriatric syndromes--was abstracted. RESULTS: Geriatricians scored 17.6 out of a possible 24 points, on average; generalists scored 14.2 (P<.001). Geriatricians scored higher than generalists on prescribing and geriatric syndrome assessments. In a linear regression model adjusting for patient age and number of comorbidities and clustering according to provider, provider specialty was strongly associated with overall score (beta coefficient for specialty=6.75, P<.001; 95% confidence interval=4.57-8.94). CONCLUSION: The practice style of fellowship-trained geriatricians caring for older adults appears to differ from that of generalists with regard to prescribing behavior and assessment for geriatric syndromes.

Delivering effective primary care to older adults: a randomized, controlled trial of the senior resource team at group health cooperative.

OBJECTIVES: To assess the effect of a team of geriatrics specialists on the practice style of primary care providers (PCPs) and the functioning of their patients aged 75 and older. DESIGN: Randomized, controlled trial. SETTING: Two primary care clinics in the Seattle, Washington, area. PARTICIPANTS: Thirty-one PCPs and 874 patients aged 75 and older. INTERVENTION: An interdisciplinary team of geriatrics specialists worked with patients and providers to enhance the geriatric focus of care. MEASUREMENTS: Main outcomes were a practice style reflecting a geriatric orientation and patient scores on the physical and affect subscales of the Arthritis Impact Measurement Scale 2-Short Form. Secondary outcomes were hospitalizations, incident disability in activities of daily living (ADLs), and PCP perceptions of the intervention. Death rates were also assessed. RESULTS: Intervention providers screened significantly more for geriatric syndromes at 12 months, but this finding did not persist at 24 months. There were no significant differences in adequate hypertension control or high-risk prescribing at 12 or 24 months of follow-up. There were no significant differences in patient functioning or significant differences in hospitalization rates at either time point. Meaningful differences were observed in ADL disability at 12 but not 24 months. PCPs viewed the intervention favorably. Seventy-eight participants died over the 24 months of follow-up; the proportion dying was higher in the intervention group (11.4% in intervention group vs 7.1% of controls, P=.03). CONCLUSION: The addition of an interdisciplinary geriatric team was acceptable to PCPs and had some effect on care of geriatric conditions but little effect on patient function or the use of inpatient care and was associated with greater mortality.

Racial differences in tumor stage and survival for colorectal cancer in an insured population.

BACKGROUND: Despite declining death rates from colorectal cancer (CRC), racial disparities have continued to increase. In this study, the authors examined disparities in a racially diverse group of insured patients. METHODS: This study was conducted among patients who were diagnosed with CRC from 1993 to 1998, when they were enrolled in integrated healthcare systems. Patients were identified from tumor registries and were linked to information in administrative databases. The sample was restricted to non-Hispanic whites (n = 10,585), non-Hispanic blacks (n = 1479), Hispanics (n = 985), and Asians/Pacific Islanders (n = 909). Differences in tumor stage and survival were analyzed by using polytomous and Cox regression models, respectively. RESULTS: In multivariable regression analyses, blacks were more likely than whites to have distant or unstaged tumors. In Cox models that were adjusted for nonmutable factors, blacks had a higher risk of death from CRC (hazard ratio [HR], 1.17; 95% confidence interval [95% CI], 1.06-1.30). Hispanics had a risk of death similar to whites (HR, 1.04; 95% CI, 0.92-1.18), whereas Asians/Pacific Islanders had a lower risk of death from CRC (HR, 0.89; 95% CI, 0.78-1.02). Adjustment for tumor stage decreased the HR to 1.11 for blacks, and the addition of receipt of surgical therapy to the model decreased the HR further to 1.06. The HR among Hispanics and Asians/Pacific Islanders was stable to adjustment for tumor stage and surgical therapy. CONCLUSIONS: The relation between race and survival from CRC was complex and appeared to be related to differences in tumor stage and therapy received, even in insured populations. Targeted interventions to improve the use of effective screening and treatment among vulnerable populations may be needed to eliminate disparities in CRC.

Bringing geriatricians to the front lines: evaluation of a quality improvement intervention in primary care.

BACKGROUND: Frail elders often receive low-quality primary care, yet the optimal role of geriatricians in primary care settings remains uncertain. We evaluated the health utilization impacts of an innovative intervention emphasizing chronic disease self-management and physical activity promotion among frail elders in primary care. METHODS: The intervention was implemented within two primary care practices at a single clinic serving a large population of frail elders enrolled in a western Washington health plan. Subjects included older patients (age >or=65 years) with disproportionate baseline outpatient service use who attended two on-site visits with a geriatrician during which each received comprehensive assessment and a problem-solving intervention to enhance chronic disease self-management and promote physical activity (N = 146). Our evaluation had a retrospective matched cohort design. Controls receiving primary care at other health plan clinics were matched 3:1 to intervention subjects by sex and a propensity score (N = 437), which was computed using demographic, clinical, and health care utilization factors that were predictive of attending the intervention. Among intervention subjects and controls following the intervention, we compared relative rates of hospitalization, outpatient and specialty visits, nursing home admission, mortality, and prescription of selected high-risk medications, as well as total health care costs. RESULTS: From March 2002 to November 2003, the geriatrician evaluated 146 of 725 elderly subjects (20%) in the two primary care practices. During a mean follow-up of 1.3 years, intervention subjects had a reduced rate of hospitalization relative to matched controls (incidence rate ratio 0.57; 95% CI: 0.37 to 0.86; P < .01). Intervention and control subjects did not have significantly different rates of specialty visits, outpatient visits, nursing home admission, mortality, or high-risk prescriptions. Relative to matched controls during follow-up, total health care costs were 26.3% lower among intervention subjects (95% CI: 1.3%, 44.9%; P = .04). CONCLUSIONS: Outpatient geriatric interventions emphasizing collaboration between geriatricians and primary care physicians, chronic disease self-management, and physical activity may reduce hospitalization risk and total health care costs among vulnerable elders.

Transform residency training in chronic illness care -- now.

Identification of the drivers of change that hasten improvement of chronic illness care in resident practices serves as an effective strategy for transformative change. The Academic Chronic Care Collaborative (ACCC) is an ongoing network of 48 teams from 22 teaching hospitals and systems that have committed to implementation of the evidence-based Chronic Care Model in their residency practices. The teams track the results of their efforts by monthly reports of both clinical and educational outcomes. The authors' experience with these self-selected teams shows that the two most effective drivers of change have been organization-wide leadership -- from the CEO to the clinical manager -- and the academic culture, e.g., competitiveness, the aspiration for excellence, focus on the research mission, comfort with data, and commitment to the education mission. These ACCC teams and their sponsoring health systems have successfully harnessed these drivers for the implementation of evidence-based chronic illness care in resident practices.