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Annals of Family Medicine | 2010

Patient Outcomes at 26 Months in the Patient-Centered Medical Home National Demonstration Project

Carlos Roberto Jaén; Robert L. Ferrer; William L. Miller; Raymond F. Palmer; Robert C. Wood; Marivel Davila; Elizabeth E. Stewart; Benjamin F. Crabtree; Paul A. Nutting; Kurt C. Stange

PURPOSE The purpose of this study was to evaluate patient outcomes in the National Demonstration Project (NDP) of practices’ transition to patient-centered medical homes (PCMHs). METHODS In 2006, a total of 36 family practices were randomized to facilitated or self-directed intervention groups. Progress toward the PCMH was measured by independent assessments of how many of 39 predominantly technological NDP model components the practices adopted. We evaluated 2 types of patient outcomes with repeated cross-sectional surveys and medical record audits at baseline, 9 months, and 26 months: patient-rated outcomes and condition-specific quality of care outcomes. Patient-rated outcomes included core primary care attributes, patient empowerment, general health status, and satisfaction with the service relationship. Condition-specific outcomes were measures of the quality of care from the Ambulatory Care Quality Alliance (ACQA) Starter Set and measures of delivery of clinical preventive services and chronic disease care. RESULTS Practices adopted substantial numbers of NDP components over 26 months. Facilitated practices adopted more new components on average than self-directed practices (10.7 components vs 7.7 components, P=.005). ACQA scores improved over time in both groups (by 8.3% in the facilitated group and by 9.1% in the self-directed group, P <.0001) as did chronic care scores (by 5.2% in the facilitated group and by 5.0% in the self-directed group, P=.002), with no significant differences between groups. There were no improvements in patient-rated outcomes. Adoption of PCMH components was associated with improved access (standardized beta [Sβ]=0.32, P = .04) and better prevention scores (Sβ=0.42, P=.001), ACQA scores (Sβ=0.45, P = .007), and chronic care scores (Sβ=0.25, P =.08). CONCLUSIONS After slightly more than 2 years, implementation of PCMH components, whether by facilitation or practice self-direction, was associated with small improvements in condition-specific quality of care but not patient experience. PCMH models that call for practice change without altering the broader delivery system may not achieve their intended results, at least in the short term.


Annals of Family Medicine | 2009

The Paradox of Primary Care

Kurt C. Stange; Robert L. Ferrer

Despite rising costs, health care often is of poor quality.[1][1]–[4][2] Current solutions to improving quality may do more harm than good if they focus more on diseases than on people.[2][3],[5][4]–[9][5] Efforts to improve the parts (evidence-based care of specific diseases)[10][6]–[13][7]


Obstetrics & Gynecology | 2000

Management of mild chronic hypertension during pregnancy: a review☆

Robert L. Ferrer; Baha M. Sibai; Cynthia D. Mulrow; Elaine Chiquette; Kathleen R. Stevens; John E. Cornell

Objective: To conduct a systematic review of evidence relating to management of mild chronic hypertension during pregnancy, including associated risks, benefits, and harms of treatment with antihypertensive agents, nonpharmacologic measures, and aspirin and benefits of various monitoring strategies. Data Sources: Using four broad search strategies, we searched English and non–English-language citations in 16 electronic databases from their inception to February 1999 and consulted relevant textbooks, references, and experts. Study Selection: Reviewers screened 6228 abstracts and found 215 articles that met multiple prespecified patient selection, study population, and design criteria. Tabulation, Integration, and Results: Forty-six studies consistently showed that chronic hypertension triples the risk for perinatal mortality (odds ratio [OR] 3.4; 95% confidence interval [CI] 3.0, 3.7) and doubles the risk for placental abruption (OR 2.1; 95% CI 1.1, 3.9). Thirteen small, randomized controlled trials had inadequate power to rule in or rule out moderate-to-large (20%–50%) benefits of antihypertensive treatment. Possible adverse effects were fetal renal failure when angiotensin-converting enzyme inhibitors are used in the second or third trimester and growth restriction when atenolol is used early in pregnancy. Trials showed that aspirin neither reduces nor increases perinatal and maternal morbidity, but they did not rule out possible small-to moderate beneficial or adverse effects. No studies provide guidance on benefits or consequences of various nonpharmacologic therapies or monitoring strategies. Conclusion: Mild chronic hypertension is associated with increased maternal and fetal risks. Beneficial treatment and monitoring regimens are not clear, but some treatments, such as angiotensin-converting enzyme inhibitors, are best avoided.


Annals of Family Medicine | 2010

Methods for Evaluating Practice Change Toward a Patient-Centered Medical Home

Carlos Roberto Jaén; Benjamin F. Crabtree; Raymond F. Palmer; Robert L. Ferrer; Paul A. Nutting; William L. Miller; Elizabeth E. Stewart; Robert C. Wood; Marivel Davila; Kurt C. Stange

PURPOSE Understanding the transformation of primary care practices to patient-centered medical homes (PCMHs) requires making sense of the change process, multilevel outcomes, and context. We describe the methods used to evaluate the country’s first national demonstration project of the PCMH concept, with an emphasis on the quantitative measures and lessons for multimethod evaluation approaches. METHODS The National Demonstration Project (NDP) was a group-randomized clinical trial of facilitated and self-directed implementation strategies for the PCMH. An independent evaluation team developed an integrated package of quantitative and qualitative methods to evaluate the process and outcomes of the NDP for practices and patients. Data were collected by an ethnographic analyst and a research nurse who visited each practice, and from multiple data sources including a medical record audit, patient and staff surveys, direct observation, interviews, and text review. Analyses aimed to provide real-time feedback to the NDP implementation team and lessons that would be transferable to the larger practice, policy, education, and research communities. RESULTS Real-time analyses and feedback appeared to be helpful to the facilitators. Medical record audits provided data on process-of-care outcomes. Patient surveys contributed important information about patient-rated primary care attributes and patient-centered outcomes. Clinician and staff surveys provided important practice experience and organizational data. Ethnographic observations supplied insights about the process of practice development. Most practices were not able to provide detailed financial information. CONCLUSIONS A multimethod approach is challenging, but feasible and vital to understanding the process and outcome of a practice development process. Additional longitudinal follow-up of NDP practices and their patients is needed.


American Journal of Preventive Medicine | 2008

Bridging Primary Care Practices and Communities to Promote Healthy Behaviors

Rebecca S. Etz; Deborah J. Cohen; Steven H. Woolf; Jodi Summers Holtrop; Katrina E Donahue; Nicole Isaacson; Kurt C. Stange; Robert L. Ferrer; Ardis L. Olson

BACKGROUND Primary care practices able to create linkages with community resources may be more successful at helping patients to make and sustain health behavior changes. METHODS Health behavior-change interventions in eight practice-based research networks were examined. Data were collected July 2005-October 2007. A comparative analysis of the data was conducted to identify and understand strategies used for linking primary care practices with community resources. RESULTS Intervention practices developed three strategies to initiate and/or implement linkages with community resources: pre-identified resource options, referral guides, and people external to the practice who offered support and connection to resources. To initiate linkages, practices required the capacity to identify patients, make referrals, and know area resources. Linkage implementation could still be defeated if resources were not available, accessible, affordable, and perceived as valuable. Linkages were facilitated by boundary-spanning strategies that compensated for the lack of infrastructure between practices and resources, and by brokering strategies that identified interested community partners and aided mutually beneficial connections with them. Linkages were stronger when they incorporated practice or resource abilities to motivate the patient, such as brief counseling or postreferral outreach. Further, data suggested that sustaining linkages requires continuous attention and ongoing communication between practices and resources. CONCLUSIONS Creating linkages between primary care practices and community resources has the potential to benefit both patients and clinicians and to lessen the burden on the U.S. healthcare system resulting from poor health behaviors. Infrastructure support and communication systems must be developed to foster sustainable linkages between practices and local resources.


Annals of Family Medicine | 2007

Pursuing Equity: Contact With Primary Care and Specialist Clinicians by Demographics, Insurance, and Health Status

Robert L. Ferrer

PURPOSE Long-term shifts in specialty choice and health workforce policy have raised concern about the future of primary care in the United States. The objective of this study was to examine current use of primary and specialty care across the US population for policy-relevant subgroups, such as disadvantaged populations and persons with chronic illness. METHODS Data from the Medical Expenditure Panel Survey from 2004 were analyzed using a probability sample patients or other participants from the noninstitutionalized US population in 2004 (N = 34,403). The main and secondary outcome measures were the estimates of the proportion of Americans who accessed different types of primary care and specialty physicians and midlevel practitioners, as well as the fraction of ambulatory visits accounted for by the different clinician types. Data were disaggregated by income, health insurance status, race/ethnicity, rural or urban residence, and presence of 5 common chronic diseases. RESULTS Family physicians were the most common clinician type accessed by adults, seniors, and reproductive-age women, and they were second to pediatricians for children. Disadvantaged adults with 3 markers of disadvantage (poverty, disadvantaged minority, uninsured) received 45.6% (95% CI, 40.4%–50.7%) of their ambulatory visits from family physicians vs 30.5% (95% CI, 30.0%–32.1%) for adults with no markers. For children with 3 vs 0 markers of disadvantage, the proportion of visits from family physicians roughly doubled from 16.5% (95% CI, 14.4%–18.6%) to 30.1% (95% CI, 18.8%–41.2%). Family physicians constitute the only clinician group that does not show income disparities in access. Multivariate analyses show that patterns of access to family physicians and nurse-practitioners are more equitable than for other clinician types. CONCLUSIONS: Primary care clinicians, especially family physicians, deliver a disproportionate share of ambulatory care to disadvantaged populations. A diminished primary care workforce will leave considerable gaps in US health care equity. Health care workforce policy should reflect this important population-level function of primary care.


Annals of Family Medicine | 2005

The Family Contribution to Health Status: A Population-Level Estimate

Robert L. Ferrer; Raymond F. Palmer; Sandra K. Burge

PURPOSE Clinical studies have shown strong family influences on individual health, but the aggregate importance of family effects for population health is unknown. Our objective was to estimate, at a population level, the variance in individual health status attributable to the family. METHODS Secondary data were used from the Community Tracking Study, a stratified random sample of the US population. Hierarchical linear modeling was used to estimate the individual and family components of health status. The setting was 60 US communities, which account for approximately one half of the population. Participants were US residents aged 18 years and older who shared a household with family members in the study (N = 35,055). Main outcome measures were the Short Form-12 (SF-12) self-reported physical and mental subscales. RESULTS Depending on the family configuration, 4.5% to 26.1% of the variance in individual health status was derived from the family. The proportion was highest for older married persons. The family effect on health status was generally similar for physical and mental health. Including age, family income, and health insurance status in the regression equations moderately reduced the family variance component. CONCLUSIONS At a population level, the family contribution to individual health status is measurable and substantial. The shared characteristics of income and health insurance account for only a modest portion of the effect. Health policy and interventions should place more emphasis on the family’s role in health.


Journal of Epidemiology and Community Health | 2004

Variations in health status within and between socioeconomic strata

Robert L. Ferrer; Raymond F. Palmer

Objectives: To analyse the variability in health status within as well as between socioeconomic groups. What is the range of individual variability in the health effects of socioeconomic status? Is the adverse effect of lower socioeconomic status uniform across the entire distribution of health status? Design: Nationally representative telephone survey of the US population in 1996. Setting: 60 US metropolitan and rural areas. Participants: 47 076 adult respondents to the community tracking study. Main outcome measures: Self rated physical and mental health status, measured by the Short Form-12 instrument. Results: There is considerable variability in self rated health within socioeconomic strata and that variability increases in a step-wise fashion at each lower stratum of income. Most of the increased variability is accounted for by changes in the middle and lower (10th, 25th, and 50th centiles) rather than the upper (75th and 90th) portions of the distribution. A resilient subgroup of lower socioeconomic status people seems to maintain excellent self rated health throughout life, while a more vulnerable lower socioeconomic status group experiences rapid deterioration in health status as people reach middle age. Conclusions: Within the population level social structuring of health there are differences in individual resilience and vulnerability that are amenable to further exploration and potential modification.


Annals of Family Medicine | 2009

A Medical Assistant–Based Program to Promote Healthy Behaviors in Primary Care

Robert L. Ferrer; Priti Mody-Bailey; Carlos Roberto Jaén; Sherrie Gott; Sara Araujo

PURPOSE Most primary care patients have at least 1 major behavioral risk: smoking, risky drinking, low physical activity, or unhealthy diet. We studied the effectiveness of a medical assistant–based program to identify and refer patients with risk behaviors to appropriate interventions. METHODS We undertook a randomized control trial in a practice-based research network. The trial included 864 adult patients from 6 primary care practices. Medical assistants screened patients for 4 risk behaviors and applied behavior-specific algorithms to link patients with interventions. Primary outcomes were improved risk behaviors on standardized assessments. Secondary outcomes included participation in a behavioral intervention and the program’s effect on the medical assistants’ workflow and job satisfaction. RESULTS Follow-up data were available for 55% of participants at a mean of 12 months. The medical assistant referral arm referred a greater proportion of patients than did usual care (67.4 vs 21.8%; P <.001) but did not achieve a higher success rate for improved behavioral outcomes (21.7 vs 16.9%; P=0.19). Qualitative interviews found both individual medical assistant and organizational effects on program adoption. CONCLUSION Engaging more primary care team members to address risk behaviors improved referral rates. More extensive medical assistant training, changes in practice culture, and sustained behavioral interventions will be necessary to improve risk behavior outcomes.


Patient Education and Counseling | 2009

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

Michael L. Parchman; Dorothy Flannagan; Robert L. Ferrer; Mike Matamoras

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 Physicians 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.

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David A. Katerndahl

University of Texas Health Science Center at San Antonio

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Sandra K. Burge

University of Texas Health Science Center at San Antonio

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Johanna Becho

University of Texas Health Science Center at San Antonio

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Robert C. Wood

University of Texas Health Science Center at San Antonio

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Kathleen R. Stevens

University of Texas Health Science Center at San Antonio

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Kurt C. Stange

Case Western Reserve University

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Carlos Roberto Jaén

University of Texas Health Science Center at San Antonio

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Raymond F. Palmer

University of Texas Health Science Center at San Antonio

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Melissa A. Talamantes

University of Texas Health Science Center at San Antonio

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Baha M. Sibai

University of Texas Health Science Center at Houston

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