Robert J. Stroebel

The Diabetes Mellitus Medication Choice Decision Aid: A Randomized Trial

BACKGROUND Patient involvement in the choice of antihyperglycemic agents could improve adherence and optimize glycemic control in patients with type 2 diabetes mellitus. METHODS We conducted a pilot, cluster randomized trial of Diabetes Medication Choice, a decision aid that describes 5 antihyperglycemic drugs, their treatment burden (adverse effects, administration, and self-monitoring demands), and impact on hemoglobin A(1c) (HbA(1c)) levels. Twenty-one clinicians were randomized to use the decision aid during the clinical encounter and 19 to dispense usual care and an educational pamphlet. We used surveys and video analysis to assess postvisit decisional outcomes, and medical and pharmacy records to assess 6-month medication adherence and HbA(1c) levels. RESULTS Compared with usual care patients (n = 37), patients receiving the decision aid (n = 48) found the tool more helpful (clustered-adjusted mean difference [AMD] in a 7-point scale, 0.38; 95% confidence interval [CI], 0.04-0.72); had improved knowledge (AMD, 1.10 of 10 questions; 95% CI, 0.11-2.09); and had more involvement in making decisions about diabetes medications (AMD, 21.8 of 100; 95% CI, 13.0-30.5). At 6-month follow-up, both groups had nearly perfect medication use (median, 100% of days covered), with better adherence (AMD, 9% more days covered; 95% CI, 4%-14%) and persistence (AMD, 12 more days covered; 95% CI, 3-21 days) in the usual care group, and no significant impact on HbA(1c) levels (AMD, 0.01; 95% CI, -0.49 to 0.50). CONCLUSION An innovative decision aid effectively involved patients with type 2 diabetes mellitus in decisions about their medications but did not improve adherence or HbA(1c) levels. Trial Registration clinicaltrials.gov Identifier: NCT00388050.

Effect of discharge instructions on readmission of hospitalised patients with heart failure: do all of the Joint Commission on Accreditation of Healthcare Organizations heart failure core measures reflect better care?

Background: Most nationally standardised quality measures use widely accepted evidence-based processes as their foundation, but the discharge instruction component of the United States standards of Joint Commission on Accreditation of Healthcare Organizations heart failure core measure appears to be based on expert opinion alone. Objective: To determine whether documentation of compliance with any or all of the six required discharge instructions is correlated with readmissions to hospital or mortality. Research design: A retrospective study at a single tertiary care hospital was conducted on randomly sampled patients hospitalised for heart failure from July 2002 to September 2003. Participants: Applying the Joint Commission on Accreditation of Healthcare Organizations criteria, 782 of 1121 patients were found eligible to receive discharge instructions. Eligibility was determined by age, principal diagnosis codes and discharge status codes. Measures: The primary outcome measures are time to death and time to readmission for heart failure or readmission for any cause and time to death. Results: In all, 68% of patients received all instructions, whereas 6% received no instructions. Patients who received all instructions were significantly less likely to be readmitted for any cause (p = 0.003) and for heart failure (p = 0.035) than those who missed at least one type of instruction. Documentation of discharge instructions is correlated with reduced readmission rates. However, there was no association between documentation of discharge instructions and mortality (p = 0.521). Conclusions: Including discharge instructions among other evidence-based heart failure core measures appears justified.

Adapting the Chronic Care Model to Treat Chronic Illness at a Free Medical Clinic

This pilot project was designed to determine the feasibility and effectiveness of an adaptation of the chronic care model applied to uninsured patients in a free medical clinic staffed by volunteer physicians. Of the 149 enrolled patients, 117 had hypertension, 91 had diabetes, and 51 had hyperlipidemia. Patients were enrolled in a chronic disease registry from March 1, 2001 through September 30, 2002 at the Salvation Army Free Clinic (SAFC). Two part-time registered nurses served as care managers providing disease-specific management using evidence-based guidelines. Consistent specialty consultation was available via phone, e-mail, or physician visit. Patient self-management was encouraged through collaborative goal setting. There were 40 patients lost to follow-up; 109 completed the study. A clinically significant improvement was obtained in at least one chronic disease for 79 patients. The chronic care model was a useful template for the delivery of effective chronic disease care to a group of uninsured patients at a free medical clinic.

A Randomized Trial of Three Diabetes Registry Implementation Strategies in a Community Internal Medicine Practice

BACKGROUND Disease registries are powerful tools with the potential to transform the way chronic diseases are managed. To date, however, little work has been done to determine how to optimize the implementation of a chronic disease registry in practice. METHODS Twenty-nine physicians and their nurse teams in a large community internal medicine practice participated in this 6-month prospective randomized trial in 2000. Teams were assigned to one of three implementation strategies using information from a diabetes registry. Process and outcome measures for diabetes management were analyzed. Process measures included the percentage of patients completing glycosylated hemoglobin (Hgb) testing within 6 months and low-density lipoprotein (LDL) testing within 12 months. Outcome measures included the percentage of patients with a glycosylated Hgb > 9.3% (equivalent to a HgbA1c > 8.0%), the percentage of patients with an LDL cholesterol > 130 mg/dl, and the percentage of patients with controlled blood pressure, defined as < 130/85 millimeters of mercury. Mean change in LDL and glycosylated Hgb values was also measured. RESULTS Teams randomized to an intervention strategy that included direct letters to patients showed significant improvement across a number of measures. The improvement was most apparent among patients without recent testing or with poorly controlled disease. The two interventions that did not include direct patient letters resulted in limited improvement. DISCUSSION Disease registries can be used to improve outcomes in the management of diabetes and other chronic diseases. Better outcomes were seen in patients who received letters based on registry-generated data. This strategy should be included as part of a comprehensive chronic disease management plan. Further refinements in the use of registries should result in further incremental improvement.

A randomized controlled trial of telemonitoring in older adults with multiple chronic conditions: the Tele-ERA study

BackgroundOlder adults with multiple chronic illnesses are at risk for worsening functional and medical status and hospitalization. Home telemonitoring may help slow this decline. This protocol of a randomized controlled trial was designed to help determine the impact of home telemonitoring on hospitalization. The specific aim of the study reads as follows: to determine the effectiveness of home telemonitoring compared with usual care in reducing the combined outcomes of hospitalization and emergency department visits in an at-risk population 60 years of age or older.Methods/DesignTwo-hundred patients with the highest 10% Mayo Clinic Elder Risk Assessment scores will be randomly assigned to one of two interventions. Home telemonitoring involves the use of a computer device, the Intel Health Guide, which records biometric and symptom data from patients in their homes. This information is monitored by midlevel providers associated with a primary care medical practice. Under the usual care scenario, patients make appointments with their providers as problems arise and use ongoing support such as a 24-hour nurse line.Patients will have initial evaluations of gait and quality of life using instruments such as the SF-12 Health Survey, the Kokmen Short Test of Mental Status, and the PHQ-9 health questionnaire. Patients will be followed for 1 year for primary outcomes of hospitalizations and emergency department visits. Secondary analysis will include quality of life, compliance with the device, and attitudes about telemonitoring. Sample size is based on an 80% power to detect a 36% difference between the two groups. The primary analysis will involve Cox proportional time-to-event analysis. Secondary analysis will use t-test comparisons for continuous variables and the chi square test for proportional analysis.DiscussionPatients randomized to home telemonitoring will have daily assessments of their health status using the device. Registered nurse monitoring will assess any change in status followed by videoconferencing by a mid-level provider. We obtained trial registration and Institutional Review Board approval.Trial registrationTrial registration number through http://www.clinicaltrials.gov:%20NCT01056640.

Trends in computed tomography utilization rates: a longitudinal practice-based study.

Objectives Computed tomography (CT) use has increased dramatically over the past 2 decades, leading to increased radiation exposure at the population level. We assessed trends in CT use in a primary care (PC) population from 2000 to 2010. Methods Trends in CT use from 2000 to 2010 were assessed in an integrated, multi-specialty group practice. Administrative data were used to identify patients associated with a specific primary care provider and all CT imaging procedures. Utilization rates per 1000 patients and CT rates by type and medical specialty were calculated. Results Of 179,032 PC patients, 55,683 (31%) underwent CT. Mean age (SD) was 31.0 (23.6) years; 53% were female patients. In 2000, 178.5 CT scans per 1000 PC patients were performed, increasing to 195.9 in 2010 (10% absolute increase, P = 0.01). Although utilization rates across the 10-year period remained stable, emergency department (ED) CT examinations rose from 41.1 per 1000 in 2000 to 74.4 per 1000 in 2010 (81% absolute increase, P < 0.01). CT abdomen accounted for more than 50% of all CTs performed, followed by CT other (19%; included scans of the spine, extremities, neck and sinuses), CT chest (16%), and CT head (14%). Top diagnostic CT categories among those undergoing CT were abdominal pain, lower respiratory disease, and headache. Conclusions Although utilization rates across the 10-year period remained stable, CT use in the ED substantially increased. CT abdomen and CT chest were the two most common studies performed and are potential targets for interventions to improve the appropriateness of CT use.

Patient-generated secure messages and eVisits on a patient portal: are patients at risk?

BACKGROUND Patient portals are becoming increasingly common, but the safety of patient messages and eVisits has not been well studied. Unlike patient-to-nurse telephonic communication, patient messages and eVisits involve an asynchronous process that could be hazardous if patients were using it for time-sensitive symptoms such as chest pain or dyspnea. METHODS We retrospectively analyzed 7322 messages (6430 secure messages and 892 eVisits). To assess the overall risk associated with the messages, we looked for deaths within 30 days of the message and hospitalizations and emergency department (ED) visits within 7 days following the message. We also examined message content for symptoms of chest pain, breathing concerns, and other symptoms associated with high risk. RESULTS Two deaths occurred within 30 days of a patient-generated message, but were not related to the message. There were six hospitalizations related to a previous secure message (0.09% of secure messages), and two hospitalizations related to a previous eVisit (0.22% of eVisits). High-risk symptoms were present in 3.5% of messages but a subject line search to identify these high-risk messages had a sensitivity of only 15% and a positive predictive value of 29%. CONCLUSIONS Patients use portal messages 3.5% of the time for potentially high-risk symptoms of chest pain, breathing concerns, abdominal pain, palpitations, lightheadedness, and vomiting. Death, hospitalization, or an ED visit was an infrequent outcome following a secure message or eVisit. Screening the message subject line for high-risk symptoms was not successful in identifying high-risk message content.

Improving Hypertension Control: A Team Approach in a Primary Care Setting

BACKGROUND Blood pressure (BP) control rates in the United States have not improved significantly during the past decade. There has been limited study of improvement efforts focusing on guideline implementation and changes in the model of care to address hypertension. METHODS Five physician (MD)/registered nurse (RN)/licensed practical nurse (LPN) teams in a large community practice modified their care model in 1997 to manage hypertensive patients as part of guideline implementation efforts. The other 25 MD teams in the same setting practiced in the usual model, but were exposed to the guideline recommendations. BP control rates of patients in each group were assessed monthly. After nine months of testing the new care model, 10 additional teams adopted the model. RESULTS In the pilot group, hypertension control rates showed statistically significant improvement from pre- (33.1%) to postimplementation (49.7%). After adjusting for age, this was significantly greater than the improvement in the control group (p = 0.033). Medication changes were more frequent in the pilot group (32.3%) than in the control group (27.6%); however, the differences were not statistically significant. A longitudinal examination of the hypertension patients in the study showed that improved BP control was sustained for at least 12 months. DISCUSSION A change in the model of care for hypertensive patients within a primary care practice resulted in significant, sustainable improvement in BP control rates. These changes are consistent with the chronic care model developed by Wagner; practice redesign appeared to be the most important change.

Patient portal doldrums: does an exam room promotional video during an office visit increase patient portal registrations and portal use?

The patient portal is a web service which allows patients to view their electronic health record, communicate online with their care teams, and manage healthcare appointments and medications. Despite advantages of the patient portal, registrations for portal use have often been slow. Using a secure video system on our existing exam room electronic health record displays during regular office visits, the authors showed patients a video which promoted use of the patient portal. The authors compared portal registrations and portal use following the video to providing a paper instruction sheet and to a control (no additional portal promotion). From the 12,050 office appointments examined, portal registrations within 45 days of the appointment were 11.7%, 7.1%, and 2.5% for video, paper instructions, and control respectively (p<0.0001). Within 6 months following the interventions, 3.5% in the video cohort, 1.2% in the paper, and 0.75% of the control patients demonstrated portal use by initiating portal messages to their providers (p<0.0001).

Use of a Web‐based clinical decision support system to improve abdominal aortic aneurysm screening in a primary care practice

Rationale, aims and objectives The United States Preventive Services Task Force recommends a one-time screening for abdominal aortic aneurysm (AAA) with ultrasonography for men aged 65 to 75 years who have ever smoked. However, despite a mortality rate of up to 80% for ruptured AAAs, providers order the screening for a minority of patients. We sought to determine the effect of a Web-based point-of-care clinical decision support system on AAA screening rates in a primary care practice. Methods We conducted a retrospective review of medical records of male patients aged 65 to 75 years who were seen at any of our practice sites in 2007 and 2008, before and after implementation of the clinical decision support system. Results Overall screening rates were 31.36% in 2007 and 44.09% in 2008 (P-value: <0.001). Of patients who had not had AAA screening prior to the visit, 3.22% completed the screening after the visit in 2007, compared with 18.24% in 2008 when the clinical support system was implemented, 5.36 times improvement (P-value: <0.001). Conclusions A Web-based clinical decision support for primary care physicians significantly improved delivery of AAA screening of eligible patients. Carefully developed clinical decision support systems can optimize care delivery, ensuring that important preventive services are delivered to eligible patients.