J. Lloyd Michener

Primary care: is there enough time for prevention?

OBJECTIVES We sought to determine the amount of time required for a primary care physician to provide recommended preventive services to an average patient panel. METHODS We used published and estimated times per service to determine the physician time required to provide all services recommended by the US Preventive Services Task Force (USPSTF), at the recommended frequency, to a patient panel of 2500 with an age and sex distribution similar to that of the US population. RESULTS To fully satisfy the USPSTF recommendations, 1773 hours of a physicians annual time, or 7.4 hours per working day, is needed for the provision of preventive services. CONCLUSIONS Time constraints limit the ability of physicians to comply with preventive services recommendations.

Improving the Health of the Community: Duke's Experience with Community Engagement

Evidence is accumulating that the United States is falling behind in its potential to translate biomedical advances into practical applications for the population. Societal forces, increased awareness of health disparities, and the direction of clinical and translational research are producing a compelling case for AHCs to bridge the gaps between scientific knowledge and medical advancement and between medical advancement and health. The Duke University Health System, the city and county of Durham, North Carolina, and multiple local nonprofit and civic organizations are actively engaged in addressing this need. More than a decade ago, Duke and its community partners began collaborating on projects to meet specific, locally defined community health needs. In 2005, Duke and Durham jointly developed a set of Principles of Community Engagement reflecting the key elements of the partnership and crafted an educational infrastructure to train health professionals in the principles and practice of community engagement. And, most recently, Duke has worked to establish the Duke Translational Medicine Institute, funded in part by a National Institutes of Health Clinical Translational Science Award, to improve health through innovative behavioral, social, and medical knowledge, matched with community engagement and the information sciences.

Teaching Population Health: A Competency Map Approach to Education

A 2012 Institute of Medicine report is the latest in the growing number of calls to incorporate a population health approach in health professionals’ training. Over the last decade, Duke University, particularly its Department of Community and Family Medicine, has been heavily involved with community partners in Durham, North Carolina, to improve the local community’s health. On the basis of these initiatives, a group of interprofessional faculty began tackling the need to fill the curriculum gap to train future health professionals in public health practice, community engagement, critical thinking, and team skills to improve population health effectively in Durham and elsewhere. The Department of Community and Family Medicine has spent years in care delivery redesign and curriculum experimentation, design, and evaluation to distinguish the skills trainees and faculty need for population health improvement and to integrate them into educational programs. These clinical and educational experiences have led to a set of competencies that form an organizational framework for curricular planning and training. This framework delineates which learning objectives are appropriate and necessary for each learning level, from novice through expert, across multiple disciplines and domains. The resulting competency map has guided Duke’s efforts to develop, implement, and assess training in population health for learners and faculty. In this article, the authors describe the competency map development process as well as examples of its application and evaluation at Duke and limitations to its use with the hope that other institutions will apply it in different settings.

Are we there yet? Seizing the moment to integrate medicine and public health.

Multiple promising but unsustainable attempts have been made to maintain programs integrating primary care and public health since the middle of the last century. During the 1960s, social justice movements expanded access to primary care and began to integrate primary care with public health concepts both to meet community needs for medical care and to begin to address the social determinants of health. Two decades later, the managed care movement offered opportunities for integration of primary care and public health as many employers and government payers attempted to control health costs and bring disease prevention strategies in line with payment mechanisms. Today, we again have the opportunity to align primary care with public health to improve the communitys health.

Perceived Discrimination and Use of Health Care Services in a North Carolina Population of Latino Immigrants

ealth care utilization among Latinos in the United States is low. Nationwide, only 55% had seen a physician in the past year, compared with 73% of non-Latino whites ( Ezzati-Rice, Kasjijara, & Machlin, 2004 ). Thus, identifying and removing barriers to care in this population is essential. Barriers that Latinos face to health care access include culture and language differences, immigration status, and inadequate insurance

Risk Classification of Adult Primary Care Patients by Self-reported Quality of Life

Background:Although patient-reported health-related quality of life (HRQOL) is known to predict health services utilization, most risk assessment systems use provider-reported diagnoses as predictors rather than HRQOL. Objective:We sought to classify adult primary care patients prospectively by utilization risk based on age, gender, and HRQOL at a single clinic visit. Research Design:Patients completed the Duke Health Profile. Providers completed the Duke Severity of Illness Checklist. Diagnoses were grouped with the Ambulatory Care Groups system. Predictive coefficients for 1-year primary care charges calculated from the age, gender, and HRQOL of 728 reference patients were used to classify 474 test patients into 4 risk classes. Comparisons were made with models that used diagnoses or severity of illness as predictors. Results:The positive likelihood ratio for predicting highest risk was 2.2 for the HRQOL model, compared with 1.8 for the diagnoses model, 1.6 for the severity model, and 1.5 for age and gender alone. One-year actual primary care visits and charges increased step-wise from lowest to highest risk class. Highest risk patients were older and more likely to be women, black, or Medicaid recipients. Although the highest-risk patients represented only 18.6% of the test group, they accounted for 26.7% of the primary care clinic visits, 31.6% of the clinic charges, 34.6% of the hospital days, 35.1% of hospital charges, and 30.8% of total charges at all healthcare sites. Conclusion:The HRQOL risk classification system can identify primary care patients at risk for high future health services utilization.

Duke Case-Mix System (DUMIX) for Ambulatory Health Care

The Duke Case-Mix System (DUMIX), which combines age, gender, patient-reported perceived and physical health status, and provider-reported or auditor-reported severity of illness to classify patients by their risk of high future utilization, explained 17.1% of the variance in future clinic charges and 16.6% of the variance in return visits. When a random half of 413 ambulatory adults were classified into four risk classes by predictive regression coefficients from the other half, there was a stepwise increase in actual future utilization by risk class. The most accurate classification was for Class 4 (highest risk) patients, with a sensitivity of 40.8%, specificity of 82.1%, and likelihood ratio of 2.3. These 23.7% of patients accounted for 44.2% of charges for all patients. When predictive coefficients from this population were used to classify a different group of 206 ambulatory adults, past utilization also increased in stepwise order by case-mix class.

The Medical Record: A Comprehensive Computer System For The Family Physician

Background: Despite the early excitement regarding the possible uses of computers in medical care in the 1980s, the computer has not had much effect on routine outpatient medicine except for billing and accounting. Methods: An emerging comprehensive ambulatory care computer system, The Medical Record (TMR), is used extensively in a large family practice, the Duke Family Medicine Center. TMR is the central system for accounting, appointments, billing, and reporting of laboratory results, radiographic findings, and medications. TMR also records problem lists and generates prompts to the clinicians for needed health maintenance, laboratory tests, and reminder letters. The most innovative function of TMR is the computerized obstetric patient record, which can be accessed from multiple sites. Cost savings compared with a manual system were found to be in excess of

Dynamics of patient targeting for care management in Medicaid: a case study of the Durham Community Health Network.

7 per patient visit or approximately

The Affordable Care Act, State Policies and Demand for Primary Care Physicians

500,000 per year for the Duke Family Medicine Center. Results and Conclusions: A comprehensive computer system in a large family practice is cost effective and facilitates better patient care through improved access to patient data.