Jesse C. Crosson

Barriers to Insulin Initiation The Translating Research Into Action for Diabetes Insulin Starts Project

OBJECTIVE Reasons for failing to initiate prescribed insulin (primary nonadherence) are poorly understood. We investigated barriers to insulin initiation following a new prescription. RESEARCH DESIGN AND METHODS We surveyed insulin-naïve patients with poorly controlled type 2 diabetes, already treated with two or more oral agents who were recently prescribed insulin. We compared responses for respondents prescribed, but never initiating, insulin (n = 69) with those dispensed insulin (n = 100). RESULTS Subjects failing to initiate prescribed insulin commonly reported misconceptions regarding insulin risk (35% believed that insulin causes blindness, renal failure, amputations, heart attacks, strokes, or early death), plans to instead work harder on behavioral goals, sense of personal failure, low self-efficacy, injection phobia, hypoglycemia concerns, negative impact on social life and job, inadequate health literacy, health care provider inadequately explaining risks/benefits, and limited insulin self-management training. CONCLUSIONS Primary adherence for insulin may be improved through better provider communication regarding risks, shared decision making, and insulin self-management training.

Thiazolidinediones and fractures: evidence from translating research into action for diabetes.

BACKGROUNDnThiazolidinedione (TZD) treatment has been associated with fractures. The purpose of this study was to examine the association between TZD treatment and fractures in type 2 diabetic patients.nnnMETHODSnUsing data from Translating Research into Action for Diabetes, a multicenter prospective observational study of diabetes care in managed care, we conducted a matched case-control study to assess the odds of TZD exposure in patients with type 2 diabetes with and without fractures. We identified 786 cases based on fractures detected in health plan administrative data. Up to four controls without any fracture diagnoses were matched to each case. Controls were matched on health plan, date of birth within 5 yr, sex, race/ethnicity, and body mass index within 5 kg/m(2). We performed conditional logistic regression for premenopausal and postmenopausal women and men to assess the odds of exposure to potential risk factors for fracture, including medications, self-reported limited mobility, and lower-extremity amputations.nnnRESULTSnWe found statistically significant increased odds of exposure to TZDs, glucocorticoids, loop diuretics, and self-reported limited mobility for women 50 yr of age and older with fractures. Exposure to both loop diuretics and TZDs, glucocorticoids, and insulin and limited mobility and lower-extremity amputation were associated with fractures in men.nnnCONCLUSIONnPostmenopausal women taking TZDs and the subset of men taking both loop diuretics and TZDs were at increased risk for fractures. In postmenopausal women, risk was associated with higher TZD dose. No difference between rosiglitazone and pioglitazone was apparent.

Predictors of Mortality Over 8 Years in Type 2 Diabetic Patients Translating Research Into Action for Diabetes (TRIAD)

OBJECTIVE To examine demographic, socioeconomic, and biological risk factors for all-cause, cardiovascular, and noncardiovascular mortality in patients with type 2 diabetes over 8 years and to construct mortality prediction equations. RESEARCH DESIGN AND METHODS Beginning in 2000, survey and medical record information was obtained from 8,334 participants in Translating Research Into Action for Diabetes (TRIAD), a multicenter prospective observational study of diabetes care in managed care. The National Death Index was searched annually to obtain data on deaths over an 8-year follow-up period (2000–2007). Predictors examined included age, sex, race, education, income, smoking, age at diagnosis of diabetes, duration and treatment of diabetes, BMI, complications, comorbidities, and medication use. RESULTS There were 1,616 (19%) deaths over the 8-year period. In the most parsimonious equation, the predictors of all-cause mortality included older age, male sex, white race, lower income, smoking, insulin treatment, nephropathy, history of dyslipidemia, higher LDL cholesterol, angina/myocardial infarction/other coronary disease/coronary angioplasty/bypass, congestive heart failure, aspirin, β-blocker, and diuretic use, and higher Charlson Index. CONCLUSIONS Risk of death can be predicted in people with type 2 diabetes using simple demographic, socioeconomic, and biological risk factors with fair reliability. Such prediction equations are essential for computer simulation models of diabetes progression and may, with further validation, be useful for patient management.

Translating the Patient Navigator Approach to Meet the Needs of Primary Care

Background: Helping patients navigate the complex and fragmented US health care system and coordinating their care are central to the patient-centered medical home. We evaluated the pilot use of a patient navigator (PN), someone who helps patients use the health care system effectively and efficiently, in primary care practices. Methods: This study was a cross-case comparative analysis of 4 community practices that implemented patient navigation. Project meeting notes, PN activity logs and debriefings, physician interviews, and patient/family member interviews were analyzed using a grounded approach. Results: Seventy-five mostly female, elderly patients received navigation services from a social worker. The PN typically helped patients obtain social services and navigate health coverage and complex referrals. Availability of workspace for PN, interaction with practice members, and processes used for selecting and referring patients affected PN collaboration with and integration into practices. Patients found PN services very helpful, and physicians viewed the PN as someone carrying out new tasks that the practice was not previously doing. Conclusions: Patient navigation in community primary care practices is useful for patients who have complex needs. Integrating such services into primary care settings will require new practice and payment models to realize the full potential of integrated patient navigation services in this setting.

Getting under the skin of clinical inertia in insulin initiation: the Translating Research Into Action for Diabetes (TRIAD) Insulin Starts Project.

Purpose The purpose of this cross-sectional study is to explore primary care providers’ (PCPs) perceptions about barriers to initiating insulin among patients. Studies suggest that many patients with poorly controlled type 2 diabetes do not receive insulin initiation by PCPs. Methods As part of the Translating Research Into Action for Diabetes study, the authors conducted structured interviews in health systems in Indiana, New Jersey, and California, asking PCPs about the importance of insulin initiation and factors affecting this decision. The authors calculated proportions choosing each multiple-choice response option and listed the most frequently offered open-ended response categories. Results Among 83 PCPs, 45% were women; 60% were white; and they averaged 13.4 years in practice. Four-fifths of PCPs endorsed guideline-concordant glycemic targets, but 54% individualized targets based on patient age, life expectancy, medical comorbidities, self-management capacity, and willingness. Most (64%) reported that many patients were resistant to new oral or insulin therapies due to fears about the therapy and what it meant about their disease progression. Two-thirds (64%) cited patient resistance as a barrier to insulin initiation, and 43% cited problems with patient self-management, including cognitive or mental health issues, dexterity, or ability to adhere. Eighty percent felt that patient nonadherence would dissuade them from initiating insulin at least some of the time. Conclusions PCPs perceived that patient resistance and poor self- management skills were significant barriers to initiating insulin. Future studies should investigate whether systems-level interventions to improve patient-provider communication about insulin and enhance providers’ perceptions of patient self-management capacity can increase guideline-concordant, patient-centered insulin initiation.

Electronic Health Record Impact on Work Burden in Small, Unaffiliated, Community-Based Primary Care Practices

ABSTRACTBACKGROUNDThe use of electronic health records (EHR) is widely recommended as a means to improve the quality, safety and efficiency of US healthcare. Relatively little is known, however, about how implementation and use of this technology affects the work of clinicians and support staff who provide primary health care in small, independent practices.OBJECTIVETo study the impact of EHR use on clinician and staff work burden in small, community-based primary care practices.DESIGNWe conducted in-depth field research in seven community-based primary care practices. A team of field researchers spent 9–14 days over a 4–8 week period observing work in each practice, following patients through the practices, conducting interviews with key informants, and collecting documents and photographs. Field research data were coded and analyzed by a multidisciplinary research team, using a grounded theory approach.PARTICIPANTSAll practice members and selected patients in seven community-based primary care practices in the Northeastern US.KEY RESULTSThe impact of EHR use on work burden differed for clinicians compared to support staff. EHR use reduced both clerical and clinical staff work burden by improving how they check in and room patients, how they chart their work, and how they communicate with both patients and providers. In contrast, EHR use reduced some clinician work (i.e., prescribing, some lab-related tasks, and communication within the office), while increasing other work (i.e., charting, chronic disease and preventive care tasks, and some lab-related tasks). Thoughtful implementation and strategic workflow redesign can mitigate the disproportionate EHR-related work burden for clinicians, as well as facilitate population-based care.CONCLUSIONSThe complex needs of the primary care clinician should be understood and considered as the next iteration of EHR systems are developed and implemented.

Using Learning Teams for Reflective Adaptation (ULTRA): Insights From a Team-Based Change Management Strategy in Primary Care

PURPOSE The Using Learning Teams for Reflective Adaptation (ULTRA) study used facilitated reflective adaptive process (RAP) teams to enhance communication and decision making in hopes of improving adherence to multiple clinical guidelines; however, the study failed to show significant clinical improvements. The purpose of this study was to examine qualitative data from 25 intervention practices to understand how they engaged in a team-based collaborative change management strategy and the types of issues they addressed. METHODS We analyzed field notes and interviews from a multimethod practice assessment, as well as field notes and audio-taped recordings from RAP meetings, using an iterative group process and an immersion-crystallization approach. RESULTS Despite a history of not meeting regularly, 18 of 25 practices successfully convened improvement teams. There was evidence of improved practice-wide communication in 12 of these practices. At follow-up, 8 practices continued RAP meetings and found the process valuable in problem solving and decision making. Seven practices failed to engage in RAP primarily because of key leaders dominating the meeting agenda or staff members hesitating to speak up in meetings. Although the number of improvement targets varied considerably, most RAP teams targeted patient care-related issues or practice-level organizational improvement issues. Not a single practice focused on adherence to clinical care guidelines. CONCLUSION Primary care practices can successfully engage in facilitated team meetings; however, leaders must be engaged in the process. Additional strategies are needed to engage practice leaders, particularly physicians, and to target issues related to guideline adherence.

Temporal trends in recording of diabetes on death certificates: results from Translating Research Into Action for Diabetes (TRIAD).

OBJECTIVE To determine the frequency that diabetes is reported on death certificates of decedents with known diabetes and describe trends in reporting over 8 years. RESEARCH DESIGN AND METHODS Data were obtained from 11,927 participants with diabetes who were enrolled in Translating Research into Action for Diabetes, a multicenter prospective observational study of diabetes care in managed care. Data on decedents (N = 2,261) were obtained from the National Death Index from 1 January 2000 through 31 December 2007. The primary dependent variables were the presence of the ICD-10 codes for diabetes listed anywhere on the death certificate or as the underlying cause of death. RESULTS Diabetes was recorded on 41% of death certificates and as the underlying cause of death for 13% of decedents with diabetes. Diabetes was significantly more likely to be reported on the death certificate of decedents dying of cardiovascular disease than all other causes. There was a statistically significant trend of increased reporting of diabetes as the underlying cause of death over time (P < 0.001), which persisted after controlling for duration of diabetes at death. The increase in reporting of diabetes as the underlying cause of death was associated with a decrease in the reporting of cardiovascular disease as the underlying cause of death (P < 0.001). CONCLUSIONS Death certificates continue to underestimate the prevalence of diabetes among decedents. The increase in reporting of diabetes as the underlying cause of death over the past 8 years will likely impact estimates of the burden of diabetes in the U.S.

Investing time in health: do socioeconomically disadvantaged patients spend more or less extra time on diabetes self‐care?

BACKGROUNDnResearch on self-care for chronic disease has not examined time requirements. Translating Research into Action for Diabetes (TRIAD), a multi-site study of managed care patients with diabetes, is among the first to assess self-care time.nnnOBJECTIVEnTo examine associations between socioeconomic position and extra time patients spend on foot care, shopping/cooking, and exercise due to diabetes.nnnDATAnEleven thousand nine hundred and twenty-seven patient surveys from 2000 to 2001.nnnMETHODSnBayesian two-part models were used to estimate associations of self-reported extra time spent on self-care with race/ethnicity, education, and income, controlling for demographic and clinical characteristics.nnnRESULTSnProportions of patients spending no extra time on foot care, shopping/cooking, and exercise were, respectively, 37, 52, and 31%. Extra time spent on foot care and shopping/cooking was greater among racial/ethnic minorities, less-educated and lower-income patients. For example, African-Americans were about 10 percentage points more likely to report spending extra time on foot care than whites and extra time spent was about 3 min more per day.nnnDISCUSSIONnExtra time spent on self-care was greater for socioeconomically disadvantaged patients than for advantaged patients, perhaps because their perceived opportunity cost of time is lower or they cannot afford substitutes. Our findings suggest that poorly controlled diabetes risk factors among disadvantaged populations may not be attributable to self-care practices.

Electronic Medical Records Are Not Associated With Improved Documentation in Community Primary Care Practices

The adoption of electronic medical records (EMRs) in ambulatory settings has been widely recommended. It is hoped that EMRs will improve care; however, little is known about the effect of EMR use on care quality in this setting. This study compares EMR versus paper medical record documentation of basic health history and preventive service indicators in 47 community-based practices. Differences in practice-level documentation rates between practices that did and did not use an EMR were examined using the Kruskal—Wallis nonparametric test and robust regression, adjusting for practice-level covariates. Frequency of documentation of health history and preventive service indicator items were similar in the 2 groups of practices. Although EMRs provide the capacity for more robust record keeping, the community-based practices here do not use EMRs to their full capacity. EMR usage does not guarantee more systematic record keeping and thus may not lead to improved quality in the community practice setting.