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Biomedical subjects

Richard W Grant

Publications and source records attributed to Richard W Grant.

At least 19 recordsLinked to original sources
PubMed2006

Risk factors for coronary artery disease in patients with elevated high-density lipoprotein cholesterol.

High high-density lipoprotein (HDL) levels protect against coronary artery disease (CAD) development. We hypothesized that patients with CAD and high HDL levels would have higher prevalence of other CAD risk factors compared with patients with CAD and normal HDL. We identified 41,982 patients from a single center with normal levels (40 to 60 mg/dl in men, 50 to 70 mg/dl in women) or high HDL levels (> or =70 mg/dl in men, > or =80 mg/dl in women) when last measured between January 2000 and April 2004. From this overall population, we characterized a cohort of 1,610 patients with CAD, including 98 patients with high HDL levels. We measured prevalence of traditional CAD risk factors by comparing these 98 patients with patients with CAD and normal HDL levels (n = 1,512). We performed manual chart review in patients (n = 196) matched 1:1 by age, gender, and HDL level to obtain further detail with regard to differences in family history and lifestyle factors. In patients with CAD, those with high HDL levels (98 of 1,610, 6.1%) were of similar age (71.1 vs 69.6 years, p = 0.23), had similar prevalence of hypertension (78.6% vs 88.7%, p = 0.30), lower levels of low-density lipoprotein (85.3 vs 90.9 mg/dl, p = 0.04) and triglycerides (87.1 vs 141.2 mg/dl, p <0.01), and a lower prevalence of diabetes (28.6% vs 38.4%, p = 0.05) compared with patients with normal HDL levels. In logistic regression models, patients with high HDL levels and CAD were less likely to have diabetes (adjusted odds ratio 0.60, 95% confidence interval 0.38 to 0.95, p = 0.03) or obesity (adjusted odds ratio 0.50, 95% confidence interval 0.25 to 0.99, p = 0.046) than patients with normal HDL levels and CAD. In conclusion, patients with high HDL and CAD had a similar or lower prevalence of traditional CAD risk factors compared with patients with normal HDL levels and CAD.

Aged↗
PubMed2006

Using regular expressions to abstract blood pressure and treatment intensification information from the text of physician notes.

This case study examined the utility of regular expressions to identify clinical data relevant to the epidemiology of treatment of hypertension. We designed a software tool that employed regular expressions to identify and extract instances of documented blood pressure values and anti-hypertensive treatment intensification from the text of physician notes. We determined sensitivity, specificity and precision of identification of blood pressure values and anti-hypertensive treatment intensification using a gold standard of manual abstraction of 600 notes by two independent reviewers. The software processed 370 Mb of text per hour, and identified elevated blood pressure documented in free text physician notes with sensitivity and specificity of 98%, and precision of 93.2%. Anti-hypertensive treatment intensification was identified with sensitivity 83.8%, specificity of 95.0%, and precision of 85.9%. Regular expressions can be an effective method for focused information extraction tasks related to high-priority disease areas such as hypertension.

Blood Pressure↗
PubMed2006

New models of population management for patients with diabetes--using informatics tools to support primary care.

Diabetes management continues to fall short of evidence-based goals of care. Population management represents a new approach to diabetes care for large numbers of patients with diabetes cared for within a single clinical system. This method is information intensive and generally requires an advanced informatics infrastructure. While Information Processing is a critical first step in population management, to have a significant impact on disease control population-based intervention must also employ potent Clinical Action tools that lower barriers to effective care. In this review we present two recent population management interventions within our health system that illustrate the principles of Information Processing and Clinical Action in diabetes care.

Cholesterol↗
PubMed2006

Cost of an informatics-based diabetes management program.

OBJECTIVES: The relatively high cost of information technology systems may be a barrier to hospitals thinking of adopting this technology. The experiences of early adopters may facilitate decision making for hospitals less able to risk their limited resources. This study identifies the costs to design, develop, implement, and operate an innovative informatics-based registry and disease management system (POPMAN) to manage type 2 diabetes in a primary care setting. METHODS: The various cost components of POPMAN were systematically identified and collected. RESULTS: POPMAN cost 450,000 dollars to develop and operate over 3.5 years (1999-2003). Approximately 250,000 dollars of these costs are one-time expenditures or sunk costs. Annual operating costs are expected to range from 90,000 dollars to 110,000 dollars translating to approximately 90 dollars per patient for a 1,200 patient registry. CONCLUSIONS: The cost of POPMAN is comparable to the costs of other quality-improving interventions for patients with diabetes. Modifications to POPMAN for adaptation to other chronic diseases or to interface with new electronic medical record systems will require additional investment but should not be as high as initial development costs. POPMAN provides a means of tracking progress against negotiated quality targets, allowing hospitals to negotiate pay for performance incentives with insurers that may exceed the annual operating cost of POPMAN. As a result, the quality of care of patients with diabetes through use of POPMAN could be improved at a minimal net cost to hospitals.

Costs and Cost Analysis↗
PubMed2006

Design and implementation of a web-based patient portal linked to an ambulatory care electronic health record: patient gateway for diabetes collaborative care.

BACKGROUND: Despite the availability of expert guidelines and widespread diabetes quality improvement efforts, care of patients with diabetes remains suboptimal. Two key barriers to care that may be amenable to informatics-based interventions include (1) lack of patient engagement with therapeutic care plans and (2) lack of medication adjustment by physicians ("clinical inertia") during clinical encounters. METHODS: The authors describe the conceptual framework, design, implementation, and analysis plan for a diabetes patient web-portal linked directly to the electronic health record (EHR) of a large academic medical center via secure Internet access designed to overcome barriers to effective diabetes care. RESULTS: Partners HealthCare System (Boston, MA), a multi-hospital health care network comprising several thousand physicians caring for over 1 million individual patients, has developed a comprehensive patient web-portal called Patient Gateway that allows patients to interact directly with their EHR via secure Internet access. Using this portal, a specific diabetes interface was designed to maximize patient engagement by importing the patient's current clinical data in an educational format, providing patient-tailored decision support, and enabling the patient to author a "Diabetes Care Plan." The physician view of the patient's Diabetes Care Plan was designed to be concise and to fit into typical EHR clinical workflow. CONCLUSIONS: We successfully designed and implemented a Diabetes Patient portal that allows direct interaction with our system's EHR. We are assessing the impact of this advanced informatics tool for collaborative diabetes care in a clinic-randomized controlled trial among 14 primary care practices within our integrated health care system.

Ambulatory Care↗
PubMed2006

Randomized controlled trial of an informatics-based intervention to increase statin prescription for secondary prevention of coronary disease.

OBJECTIVE: Suboptimal treatment of hyperlipidemia in patients with coronary artery disease (CAD) is well documented. We report the impact of a computer-assisted physician-directed intervention to improve secondary prevention of hyperlipidemia. DESIGN AND SETTING: Two hundred thirty-five patients under the care of 14 primary care physicians in an academically affiliated practice with an electronic health record were enrolled in this proof-of-concept physician-blinded randomized, controlled trial. Each patient with CAD or risk equivalent above National Cholesterol Education Program-recommended low-density lipoprotein (LDL) treatment goal for greater than 6 months was randomized, stratified by physician and baseline LDL. Physicians received a single e-mail per intervention patient. E-mails were visit independent, provided decision support, and facilitated "one-click" order writing. MEASUREMENTS: The primary outcomes were changes in hyperlipidemia prescriptions, time to prescription change, and changes in LDL levels. The time spent using the system was assessed among intervention patients. RESULTS: A greater proportion of intervention patients had prescription changes at 1 month (15.3% vs 2%, P=.001) and 1 year (24.6% vs 17.1%, P=.14). The median interval to first medication adjustment occurred earlier among intervention patients (0 vs 7.1 months, P=.005). Among patients with baseline LDLs >130 mg/dL, the first postintervention LDLs were substantially lower in the intervention group (119.0 vs 138.0 mg/dL, P=.04). Physician processing time was under 60 seconds per e-mail. CONCLUSION: A visit-independent disease management tool resulted in significant improvement in secondary prevention of hyperlipidemia at 1-month postintervention and showed a trend toward improvement at 1 year.

Adult↗
PubMed2006

Is this "my" patient? Development and validation of a predictive model to link patients to primary care providers.

BACKGROUND: Evaluating the quality of care provided by individual primary care physicians (PCPs) may be limited by failing to know which patients the PCP feels personally responsible for. OBJECTIVE: To develop and validate a model for linking patients to specific PCPs. DESIGN: Retrospective convenience sample. PARTICIPANTS: Eighteen PCPs from 10 practice sites within an academic adult primary care network. MEASUREMENTS: Each PCP reviewed the records for all outpatients seen over the preceding 3 years (16,435 patients reviewed) and designated each patient as "My Patient" or "Not My Patient." Using this reference standard, we developed an algorithm with logistic regression modeling to predict "My Patient" using development and validation subsets drawn from the same patient set. Quality of care was then assessed by "My Patient" or "Not My Patient" designation by analyzing cancer screening test rates. RESULTS: Overall, PCPs designated 11,226 patients (68.3%, range per provider 15% to 93%) to be "My Patient." The model accurately categorized patients in development and validation subsets (combined sensitivity 80.4%, specificity 93.7%, and positive predictive value 96.5%). To achieve positive predictive values of > 90% for individual PCPs, the model excluded 19.6% of PCP "My Patients" (range 5.5% to 75.3%). Cancer screening rates were higher among model-predicted "My Patients." CONCLUSIONS: Nearly one-third of patients seen were considered "Not My Patient" by the PCP, although this proportion varied widely. We developed and validated a simple model to link specific patients and PCPs. Such efforts may help effectively target interventions to improve primary care quality.

Adult↗
PubMed2006

Prevalence of basic information technology use by U.S. physicians.

BACKGROUND: Information technology (IT) has been advocated as an important means to improve the practice of clinical medicine. OBJECTIVES: To determine current prevalence of non-electronic health record (EHR) IT use by a national sample of U.S. physicians, and to identify associated physician, practice, and patient panel characteristics. DESIGN, SETTING, AND PARTICIPANTS: Survey conducted in early 2004 of 1,662 U.S. physicians engaged in direct patient care selected from 3 primary care specialties (family practice, internal medicine, pediatrics) and 3 nonprimary care specialties (anesthesiology, general surgery, cardiology). MEASUREMENTS: Self-reported frequency of e-mail communication with patients or other clinicians, online access to continuing medical education or professional journals, and use of any computerized decision support (CDS) during clinical care. Survey results were weighted by specialty and linked via practice zip codes to measures of area income and urbanization. RESULTS: Response rate was 52.5%. Respondents spent 49 (+/-19) (mean [+/-standard deviation]) hours per week in direct patient care and graduated from medical school 23 (+/-11) years earlier. "Frequent" use was highest for CDS (40.8%) and online professional journal access (39.0%), and lowest for e-mail communication with patients (3.4%). Ten percent of physicians never used any of the 5 IT tools. In separate logistic regression analyses predicting usage of each of the 5 IT tools, the strongest associations with IT use were primary care practice (adjusted odds ratios [aORs] ranging from 1.34 to 2.26) and academic practice setting (aORs 2.17 to 5.41). Years since medical school graduation (aOR 0.85 to 0.87 for every 5 years after graduation) and solo/2-person practice setting (aORs 0.21 to 0.55) were negatively associated with IT use. Practice location and patient panel characteristics were not independently associated with IT use. CONCLUSIONS: In early 2004, the majority of physicians did not regularly use basic, inexpensive, and widely available IT tools in clinical practice. Efforts to increase the use of IT in medicine should focus on practice-level barriers to adoption.

Attitude of Health Personnel↗
PubMed2006

Treatment of cardiac risk factors among patients with schizophrenia and diabetes.

OBJECTIVE: The appropriateness and effectiveness of the outpatient medical management of cardiac risk factors for patients with diabetes who had a diagnosis of schizophrenia or a related psychotic syndrome were examined. METHODS: In a cross-sectional analysis of 4,236 patients with diabetes, ICD-9 billing codes were used to identify 214 patients with schizophrenia or a schizophrenia-related syndrome. Measures of treatment appropriateness and effectiveness for the management of cardiac risk factors (control of blood sugar, blood pressure, and lipids) were assessed for this group and compared with measures from patients with diabetes but no severe mental illness (N = 3,594). Odds ratios were adjusted for between-group differences in gender, race, age, and clinic setting. RESULTS: There were no statistically significant between-group differences on any of the five measures of treatment appropriateness, indicating that patients with schizophrenia received a similar regimen of medical treatment for cardiac factors. However, two of the seven measures of treatment effectiveness indicated significant deficiencies, with fewer patients with schizophrenia meeting the clinical quality benchmarks for cholesterol and low-density lipoprotein control. This disparity may have been caused by factors other than the measured treatment appropriateness variables, including the prescription of older lipid-lowering agents and a higher rate of missed appointments in the group with schizophrenia. CONCLUSIONS: Effective lipid control may be more difficult to attain for at least some patients with schizophrenia. Given that population's high rates of cardiovascular mortality, additional research to clarify the barriers to effective lipid management is essential.

Aged↗
PubMed2005

Medication adherence before an increase in antihypertensive therapy: a cohort study using pharmacy claims data.

BACKGROUND: Less than one third of patients with hypertension achieve optimal blood pressure control. Poor medication adherence has been identified as one contributor to uncontrolled blood pressure. OBJECTIVE: This study was conducted to test the hypothesis that patients who require an increase in their antihypertensive regimen have poorer adherence with medication compared with patients who remain on a stable regimen. METHODS: Health plan enrollment and pharmacy claims data were used to perform a prospective cohort study and a nested case-control study in patients newly starting antihypertensive therapy. In the prospective cohort study, cumulative medication adherence (CMA, the percentage of days the patient had pills available, calculated as the total number of days of medication dispensed, excluding the final prescription, divided by the total number of days between the first and last antihypertensive prescriptions in the observation period) was compared between patients who required an increase in therapy and patients who remained on a stable antihypertensive regimen. In the nested case-control analysis, interval medication adherence (IMA, the ratio of the number of days of medication dispensed in a single prescription divided by the number of days until the next prescription is filled) during the prescription interval immediately before an increase in the antihypertensive regimen was compared with a similar interval in control patients without an increase matched by age, medication, number of days of medication dispensed, and months since initiation of therapy. RESULTS: The study included data from 5089 patients (mean [SD] age, 47.8 [13.0] years; 50.0% women). Over a median (interquartile range) of 23 (9-49) months of initial antihypertensive treatment, 935 patients (18.4%) had an increase in regimen. After adjusting for age, duration of treatment, number of prescribing physicians, and specific medication, patients with a regimen increase had a 12.0% higher CMA compared with patients remaining on a stable regimen (P < 0.001). IMA for the period immediately before the increase was not significantly different in patients with an increase compared with matched controls (98.3% vs 101.0%, respectively). CONCLUSIONS: Among these insured patients newly starting antihypertensive therapy, patients who required an increase in therapy had similar or slightly better medication adherence compared with patients remaining on a stable regimen. Poor adherence was not predictive of intensification of the antihypertensive regimen.

Adult↗
PubMed2005

Barriers to the treatment of hepatitis C. Patient, provider, and system factors.

BACKGROUND: Hepatitis C virus (HCV) infection is both prevalent and undertreated. OBJECTIVE: To identify barriers to HCV treatment in primary care practice. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: A cohort of 208 HCV-infected patients under the care of a primary care physician (PCP) between December 2001 and April 2004 at a single academically affiliated community health center. MEASUREMENTS: Data were collected from the electronic medical record (EMR), the hospital clinical data repository, and interviews with PCPs. MAIN RESULTS: Our cohort consisted of 208 viremic patients with HCV infection. The mean age was 47.6 (+/-9.7) years, 56% were male, and 79% were white. Fifty-seven patients (27.4% of the cohort) had undergone HCV treatment. Independent predictors of not being treated included: unmarried status (adjusted odds ratio [aOR] for treatment 0.36, P=.02), female gender (aOR 0.31, P=.01), current alcohol abuse (aOR 0.08, P=.0008), and a higher ratio of no-shows to total visits (aOR 0.005 per change of 1.0 in the ratio of no-shows to total visits, P=.002). The major PCP-identified reasons not to treat included: substance abuse (22.5%), patient preference (16%), psychiatric comorbidity (15%), and a delay in specialist input (12%). For 13% of the untreated patients, no reason was identified. CONCLUSIONS: HCV treatment was infrequent in our cohort of outpatients. Barriers to treatment included patient factors (patient preference, alcohol use, missed appointments), provider factors (reluctance to treat past substance abusers), and system factors (referral-associated delays). Multimodal interventions may be required to increase HCV treatment rates.

Adult↗
PubMed2005

Internet use among primary care patients with type 2 diabetes: the generation and education gap.

BACKGROUND: The Internet represents a promising tool to improve diabetes care. OBJECTIVE: To assess differences in demographics, self-care behaviors, and diabetes-related risk factor control by frequency of Internet use. DESIGN AND PARTICIPANTS: We surveyed 909 patients with type 2 diabetes attending primary care clinics. MEASUREMENTS: Frequency of Internet use, socioeconomic status, and responses to the Problem Areas in Diabetes (PAID), Summary of Diabetes Self-care Activities (SDSCA), and Health Utilities Index (HUI) scales. Survey responses were linked to last measured hemoglobin A1c, cholesterol, and blood pressure results. Comorbidities and current medications were obtained from the medical record. RESULTS: Internet "never-users" (n=588, 66%) were significantly older (70.0+/-11.2 vs 59.0+/-11.3 years; P<.001) and less educated (26% vs 71% with>high school; P<.001) than Internet users (n=308, 34%). There were few significant differences in PAID or SDSCA scores or in diabetes metabolic control despite longer diabetes duration (10.3+/-8.2 vs 8.3+/-6.7 years; P<.001) and greater prevalence of coronary disease (40% vs 24%; P<.001) in nonusers. Less than 10% of current nonusers would use the Internet for secure health-related communication. CONCLUSIONS: Older and less educated diabetes patients are less likely to use the Internet. Despite greater comorbidity, nonusers engaged in primary care had equal or better risk factor control compared to users.

Age Factors↗
PubMed2005

Race differences in long-term diabetes management in an HMO.

OBJECTIVE: We examined race differences in diabetes outcomes over 4-8 years in a single HMO. RESEARCH DESIGN AND METHODS: We identified black and white adult diabetic patients who were continuously enrolled (1992-2001) and in whom diabetes was 1) diagnosed before 1994 (n = 1,686) or 2) newly diagnosed in 1994-1997 (n = 1,280). We used hierarchical models to estimate the effect of race on average annual HbA(1c) (A1C) controlling for baseline A1C, BMI, and age, as well as annual measures of type of diabetes medications, diabetes-related hospitalization, time and the number of A1C tests, physician visits, and nondiabetes medications. Stratifying by sex accounted for significant interactions between sex and race. RESULTS: At baseline, black and white patients had similar rates of A1C testing and physician visits, but blacks had higher unadjusted A1C values. In multivariate models, among patients with previously diagnosed diabetes, average A1C was nonsignificantly 0.11 higher (95% CI -0.12 to 0.34) in black than in white men but was 0.30 higher (0.14-0.46; P = 0.0007) in black than in white women. Among patients with newly diagnosed diabetes, the adjusted black-white gap was 0.49 among men (0.17-0.80; P = 0.007) and was 0.05 among women (-0.20 to -0.31), which was positive but not significant. CONCLUSIONS: Factors other than the quality of care may explain persistent race differences in A1C in this setting. Future interventions should target normalization of A1C by identifying potential psychosocial barriers to therapy intensification among patients and clinicians and development of culturally appropriate interventions to aid patients in successful self-management.

Adult↗
PubMed2005

Quality of diabetes care in U.S. academic medical centers: low rates of medical regimen change.

OBJECTIVE: To assess both standard and novel diabetes quality measures in a national sample of U.S. academic medical centers. RESEARCH DESIGN AND METHODS: This retrospective cohort study was conducted from 10 January 2000 to 10 January 2002. It involved 30 U.S. academic medical centers, which contributed data from 44 clinics (27 primary care clinics and 17 diabetes/endocrinology clinics). For 1,765 eligible adult patients with type 1 or type 2 diabetes with at least two clinic visits in the 24 months before 10 January 2002, including one visit in the 6 months before 10 January 2002, we assessed measurement and control of HbA(1c), blood pressure, and cholesterol and corresponding medical regimen changes at the most recent clinic visit. RESULTS: In this ethnically and economically diverse cohort, annual testing rates were very high (97.4% for HbA(1c), 96.6% for blood pressure, and 87.6% for total cholesterol). Fewer patients were at HbA(1c) goal (34.0% <7.0%) or blood pressure goal (33.0% <130/80 mmHg) than lipid goals (65.1% total cholesterol <200 mg/dl, 46.1% with LDL cholesterol <100 mg/dl). Only 10.0% of the cohort met recommended goals for all three risk factors. At the most recent clinic visit, 40.4% of patients with HbA(1c) concentrations above goal underwent adjustment of their corresponding regimens. Among untreated patients, few with elevated blood pressure (10.1% with blood pressure >130/80 mmHg) or elevated LDL cholesterol (5.6% with LDL >100 mg/dl) were started on corresponding therapy. Patients with type 2 diabetes were no less likely to be intensified than patients with type 1 diabetes. CONCLUSIONS: High rates of risk factor testing do not necessarily translate to effective metabolic control. Low rates of medication adjustment among patients with levels above goal suggest a specific and novel target for quality improvement measurement.

Academic Medical Centers↗
PubMed2005

Sex disparities in treatment of cardiac risk factors in patients with type 2 diabetes.

OBJECTIVE: Diabetes eliminates the protective effect of female sex on the risk of coronary heart disease (CHD). We assessed sex differences in the treatment of CHD risk factors among patients with diabetes. RESEARCH DESIGN AND METHODS: A cross-sectional analysis included 3,849 patients with diabetes treated in five academic internal medicine practices from 2000 to 2003. Outcomes were stratified by the presence of CHD and included adjusted odds ratios (AORs) that women (relative to men) were treated with hypoglycemic, antihypertensive, lipid-lowering medications or aspirin (if indicated) and AORs of reaching target HbA(1c), blood pressure, or lipid levels. RESULTS: Women were less likely than men to have HbA(1c) <7% (without CHD: AOR 0.84 [95% CI 0.75-0.95], P = 0.005; with CHD: 0.63 [0.53-0.75], P < 0.0001). Women without CHD were less likely than men to be treated with lipid-lowering medication (0.82 [0.71-0.96], P = 0.01) or, when treated, to have LDL cholesterol levels <100 mg/dl (0.75 [0.62-0.93], P = 0.004) and were less likely than men to be prescribed aspirin (0.63 [0.55-0.72], P < 0.0001). Women with diabetes and CHD were less likely than men to be prescribed aspirin (0.70 [0.60-0.83], P < 0.0001) or, when treated for hypertension or hyperlipidemia, were less likely to have blood pressure levels <130/80 mmHg (0.75 [0.69-0.82], P < 0.0001) or LDL cholesterol levels <100 mg/dl (0.80 [0.68-0.94], P = 0.006). CONCLUSIONS: Women with diabetes received less treatment for many modifiable CHD risk factors than diabetic men. More aggressive treatment of CHD risk factors in this population offers a specific target for improvement in diabetes care.

Aged↗
PubMed2004

Impact of concurrent medication use on statin adherence and refill persistence.

BACKGROUND: Effective therapy for chronic illness requires daily medication adherence (DMA) for prolonged periods. Overall medical regimen complexity may represent one barrier to successful adherence. METHODS: To assess the relationship between the number of concurrently prescribed medicines and adherence to 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors (statins), we analyzed a cohort of 5488 patients in a single health insurance plan who began statin therapy between July 1, 1999, and June 30, 2002. We assessed 2 parameters of statin adherence: (1) DMA ([total number of pills dispensed/total number of days between first and last prescription] x100) and (2) refill persistence (RP) (consecutive months of refills after initial prescription). RESULTS: The cohort was 61.6% male, with a mean +/- SD age of 52.7 +/- 9.3 years. Patients were prescribed a mean +/- SD of 2.9 +/- 2 total medicines (range, 1-13), with a mean +/- SD statin DMA of 82.1% +/- 26.5%. By 12 months, only 68% of patients continued filling statin prescriptions. After controlling for age, income level, and treatment for hypertension or ischemic heart disease, a greater number of concurrently prescribed medicines was significantly associated with better DMA (P = .005) and longer RP (P = .03). CONCLUSIONS: In this cohort, statin DMA was generally adequate, but RP was suboptimal. Patients with more concurrently prescribed medicines had higher DMA and better RP, even after adjusting for demographic factors and cardiovascular comorbidity. Physicians should not be deterred from initiating statin therapy by a patient's medical regimen complexity but should be alert for lack of therapy persistence, particularly in younger and healthier patients.

Adult↗
PubMed2004

Trends in complexity of diabetes care in the United States from 1991 to 2000.

BACKGROUND: During the decade from 1991 to 2000, the standard of care for diabetes mellitus evolved to require more intensive management of glycemia, blood pressure, and cholesterol levels. METHODS: To assess changes in the complexity of outpatient management of diabetes, we used nationally representative data from the National Ambulatory Medical Care Survey. For 4708 primary care visits by patients with diabetes from 1991 to 2000, we characterized trends in the number of prescribed medicines, management of hyperglycemia, hypertension, and hyperlipidemia, provision of diabetes-related ambulatory services, and visit length. RESULTS: From 1991 to 2000, the annual proportion of primary care visits listing at least 5 prescription medicines increased from 18.2% to 29.9% (P<.001). We found increases in visits listing oral medications for control of glucose levels (37.2% to 50.5%; P<.001), antihypertensive agents (35.9% to 42.3%; P<.001), and medications for lowering of lipid levels (4.1% to 17.3%; P<.001), whereas visits listing insulin treatment decreased from 25.3% in 1991 to 15.3% in 2000 (P<.001). Provision of diabetes-related ambulatory services remained stable (blood pressure measurement, cholesterol level testing, and dietary and smoking cessation counseling) or increased (exercise counseling; P =.01). The proportion of visits longer than 20 minutes increased from 17.8% in 1991 to 20.9% in 2000 (P =.02 for trend). CONCLUSIONS: Office-based management of diabetes has changed significantly during the study decade. We found a marked increase in medical regimen complexity, a modest increase in visit length, and stable or increased provision of diabetes-related screening and counseling services. The increasing complexity of medical care combined with limited time during clinic visits may represent a barrier to achieving evidence-based goals of diabetes care.

Ambulatory Care↗