Michael L. Parchman

Factors related to potentially preventable hospitalizations among the elderly.

OBJECTIVES The authors examine whether the odds of having a hospitalization associated with an ambulatory care sensitive condition can be explained by observed differences in a Medicare beneficiarys predisposing, enabling, and need characteristics. METHODS A multivariate cross-sectional analysis of Medicares administrative inpatient claims data and the Medicare Current Beneficiary Survey was conducted on a nationally representative sample of Medicare beneficiaries. Each Medicare beneficiarys hospital utilization was classified into one of three categories: (1) no hospital admissions; (2) hospitalized, but no hospitalizations for a potentially preventable condition; and (3) at least one potentially preventable hospitalization. RESULTS The results suggest that being older, black, or living either in a core standard metropolitan statistical area (SMSA) county or a rural county significantly increases the odds of a preventable hospitalization, whereas having attended college, or having only Medicare insurance coverage reduces the odds of a preventable hospitalization. Further, those individuals who assess their health status as poor, have had coronary heart disease, a myocardial infarction, or diabetes, and required assistance with two or more of the six basic activities of daily living are at a greater risk of a preventable hospitalization. CONCLUSIONS Policy efforts aimed at reducing the number of preventable hospitalizations among the elderly should address the complex health care delivery needs of those Medicare beneficiaries who have special health care needs because they are very old, black, live in core SMSA or rural counties, have poor overall health status, and have physical limitations. Efforts to reduce the number of Medicare beneficiaries who experience a preventable hospitalization may be cost-effective as these beneficiaries may account for up to 17.4% of Medicares reimbursement for inpatient, outpatient, and physician services in our data set.

Competing Demands or Clinical Inertia: The Case of Elevated Glycosylated Hemoglobin

PURPOSE This study aimed to examine the contribution of competing demands to changes in hypoglycemic medications and to return appointment intervals for patients with type 2 diabetes and an elevated glycosylated hemoglobin (A1c) level. METHODS We observed 211 primary care encounters by adult patients with type 2 diabetes in 20 primary care clinics and documented changes in hypoglycemic medications. Competing demands were assessed from length of encounter, number of concerns patients raised, and number of topics brought up by the clinician. Days to the next scheduled appointment were obtained at patient checkout. Recent A1c values and dates were determined from the chart. RESULTS Among patients with an A1c level greater than 7%, each additional patient concern was associated with a 49% (95% confidence interval, 35%–60%) reduction in the likelihood of a change in medication, independent of length of the encounter and most recent level of A1c. Among patients with an A1c level greater than 7% and no change in medication, for every additional minute of encounter length, the time to the next scheduled appointment decreased by 2.8 days (P = .001). Similarly, for each additional 1% increase in A1c level, the time to the next scheduled appointment decreased by 8.6 days (P=.001). CONCLUSIONS The concept of clinical inertia is limited and does not fully characterize the complexity of primary care encounters. Competing demands is a principle for constructing models of primary care encounters that are more congruent with reality and should be considered in the design of interventions to improve chronic disease outcomes in primary care settings.

Family Support, Diet, and Exercise Among Older Mexican Americans With Type 2 Diabetes:

PURPOSE The purpose of this study was to examine the relationship between diabetes-specific family support and other psychosocial factors with regard to diet and exercise self-care behavior among older Mexican Americans with type 2 diabetes. METHODS Adults aged 55 years and older who presented for care in a primary care clinic for type 2 diabetes (N=138) completed a survey to assess family support specific to diabetes, barriers to self-management, self-efficacy, and diabetes self-care activities. Multivariate regression analyses were conducted to evaluate the relationship between family support and self-care activities for diet and exercise. RESULTS Higher levels of perceived family support and greater self-efficacy were associated with higher reported levels of diet and exercise self-care. As the barriers to exercise increased, the levels of exercise self-care decreased. Living with family members (more than just a spouse or significant other) was associated with higher levels of diet self-care, as was older age. CONCLUSIONS Family behavior is associated with diet and exercise self-care. Diabetes educators and healthcare providers should consider involving the entire family in the management of older patients with type 2 diabetes. Interventions designed to improve diabetes self-management should address family support specific to diabetes, self-efficacy, and barriers to self-care.

Handheld Computer Use in U.S. Family Practice Residency Programs

OBJECTIVE The purpose of the study was to evaluate the uses of handheld computers (also called personal digital assistants, or PDAs) in family practice residency programs in the United States. STUDY DESIGN In November 2000, the authors mailed a questionnaire to the program directors of all American Academy of Family Physicians (AAFP) and American College of Osteopathic Family Practice (ACOFP) residency programs in the United States. MEASUREMENTS Data and patterns of the use and non-use of handheld computers were identified. RESULTS Approximately 50 percent (306 of 610) of the programs responded to the survey. Two thirds of the programs reported that handheld computers were used in their residencies, and an additional 14 percent had plans for implementation within 24 months. Both the Palm and the Windows CE operating systems were used, with the Palm operating system the most common. Military programs had the highest rate of use (8 of 10 programs, 80 percent), and osteopathic programs had the lowest (23 of 55 programs, 42 percent). Of programs that reported handheld computer use, 45 percent had required handheld computer applications that are used uniformly by all users. Funding for handheld computers and related applications was non-budgeted in 76percent of the programs in which handheld computers were used. In programs providing a budget for handheld computers, the average annual budget per user was 461.58 dollars. Interested faculty or residents, rather than computer information services personnel, performed upkeep and maintenance of handheld computers in 72 percent of the programs in which the computers are used. In addition to the installed calendar, memo pad, and address book, the most common clinical uses of handheld computers in the programs were as medication reference tools, electronic textbooks, and clinical computational or calculator-type programs. CONCLUSIONS Handheld computers are widely used in family practice residency programs in the United States. Although handheld computers were designed as electronic organizers, in family practice residencies they are used as medication reference tools, electronic textbooks, and clinical computational programs and to track activities that were previously associated with desktop database applications.

Context Matters: The Experience of 14 Research Teams in Systematically Reporting Contextual Factors Important for Practice Change

PURPOSE We aimed to advance the internal and external validity of research by sharing our empirical experience and recommendations for systematically reporting contextual factors. METHODS Fourteen teams conducting research on primary care practice transformation retrospectively considered contextual factors important to interpreting their findings (internal validity) and transporting or reinventing their findings in other settings/situations (external validity). Each team provided a table or list of important contextual factors and interpretive text included as appendices to the articles in this supplement. Team members identified the most important contextual factors for their studies. We grouped the findings thematically and developed recommendations for reporting context. RESULTS The most important contextual factors sorted into 5 domains: (1) the practice setting, (2) the larger organization, (3) the external environment, (4) implementation pathway, and (5) the motivation for implementation. To understand context, investigators recommend (1) engaging diverse perspectives and data sources, (2) considering multiple levels, (3) evaluating history and evolution over time, (4) looking at formal and informal systems and culture, and (5) assessing the (often nonlinear) interactions between contextual factors and both the process and outcome of studies. We include a template with tabular and interpretive elements to help study teams engage research participants in reporting relevant context. CONCLUSIONS These findings demonstrate the feasibility and potential utility of identifying and reporting contextual factors. Involving diverse stakeholders in assessing context at multiple stages of the research process, examining their association with outcomes, and consistently reporting critical contextual factors are important challenges for a field interested in improving the internal and external validity and impact of health care research.

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.

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.”

A randomized trial of practice facilitation to improve the delivery of chronic illness care in primary care: initial and sustained effects.

BackgroundPractice facilitation (PF) is an implementation strategy now commonly used in primary care settings for improvement initiatives. PF occurs when a trained external facilitator engages and supports the practice in its change efforts. The purpose of this group-randomized trial is to assess PF as an intervention to improve the delivery of chronic illness care in primary care.MethodsA randomized trial of 40 small primary care practices who were randomized to an initial or a delayed intervention (control) group. Trained practice facilitators worked with each practice for one year to implement tailored changes to improve delivery of diabetes care within the Chronic Care Model framework. The Assessment of Chronic Illness Care (ACIC) survey was administered at baseline and at one-year intervals to clinicians and staff in both groups of practices. Repeated-measures analyses of variance were used to assess the main effects (mean differences between groups) and the within-group change over time.ResultsThere was significant improvement in ACIC scores (p < 0.05) within initial intervention practices, from 5.58 (SD 1.89) to 6.33 (SD 1.50), compared to the delayed intervention (control) practices where there was a small decline, from 5.56 (SD 1.54) to 5.27 (SD 1.62). The increase in ACIC scores was sustained one year after withdrawal of the PF intervention in the initial intervention group, from 6.33 (SD 1.50) to 6.60 (SD 1.94), and improved in the delayed intervention (control) practices during their one year of PF intervention, from 5.27 (SD 1.62) to 5.99 (SD 1.75).ConclusionsPractice facilitation resulted in a significant and sustained improvement in delivery of care consistent with the CCM as reported by those involved in direct patient care in small primary care practices. The impact of the observed change on clinical outcomes remains uncertain.Trial registrationThis protocol followed the CONSORT guidelines and is registered per ICMJE guidelines: Clinical Trial Registration Number: NCT00482768.

Prevalence, Severity, and Treatment of Community-Acquired Methicillin-Resistant Staphylococcus Aureus (CA-MRSA) Skin and Soft Tissue Infections in 10 Medical Clinics in Texas: A South Texas Ambulatory Research Network (STARNet) Study

Objectives: Quantify the prevalence, measure the severity, and describe treatment patterns in patients who present to medical clinics in Texas with community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) skin and soft-tissue infections (SSTI). Methods: Ten primary care clinics participated in this prospective, community-based study. Clinicians consented patients and collected clinical information, pictures, and wound swabs; data were processed centrally. MRSASelect™ was used for identification. Susceptibilities were determined via Etest®. Results: Overall, 73 of 119 (61%) patients presenting with SSTIs meeting eligibility requirements had CA-MRSA. Among these, 49% were male, 79% were Hispanic, and 30% had diabetes. Half (56%) of the lesions were ≥ 5 cm in diameter. Most patients had abscesses (82%) and many reported pain scores of ≥ 7 of 10 (67%). Many presented with erythema (85%) or drainage (56%). Most received incision and drainage plus an antibiotic (64%). Antibiotic monotherapy was frequently prescribed: trimethoprim-sulfamethoxazole (TMP-SMX) (78%), clindamycin (4%), doxycycline (2%), and mupirocin (2%). The rest received TMP-SMX in combination with other antibiotics. TMP-SMX was frequently administered as one double-strength tablet twice daily. Isolates were 93% susceptible to clindamycin and 100% susceptible to TMP-SMX, doxycycline, vancomycin, and linezolid. Conclusions: We report a predominance of CA-MRSA SSTIs, favorable antibiotic susceptibilities, and frequent use of TMP-SMX in primary care clinics.

Developing Evidence for How to Tailor Medical Interventions for the Individual Patient

We aim to answer the question: How can we develop an evidence base that will assist tailoring health interventions to individual patients? Using social theory and interview data from people living with chronic illness, we developed a new approach to analysis. Individuals were considered as emergent complex systems, adjusting and adapting within their environment and sometimes transforming. The notion of illness trajectory brought our attention to data in the interviews about the “emergent present,” the current period of time when all domains of life, from across time, have expression. We summarized patterns of adjustment and adaptation within the emergent present for people living with chronic back pain, depression, and diabetes. We considered the potential of this analysis approach to inform medical decision making. Our analysis approach is the first step in developing a categorization of individuals that might be useful in tailoring health care interventions to the individual.