Quality of outpatient care for diabetes mellitus in a national electronic health record network

Documentation of hypoglycemia assessment among adults with diabetes during clinical encounters in primary care and endocrinology practices

PURPOSE

To examine the proportion of diabetes-focused clinical encounters in primary care and endocrinology practices where the evaluation for hypoglycemia is documented; and when it is, identify clinicians' stated actions in response to patient-reported events.

METHODS

A total of 470 diabetes-focused encounters among 283 patients nonpregnant adults (≥18 years) with type 1 or type 2 diabetes mellitus in this retrospective cohort study. Participants were randomly identified in blocks of treatment strategy and care location (95 and 52 primary care encounters among hypoglycemia-prone medications (i.e. insulin, sulfonylurea) and others patients, respectively; 94 and 42 endocrinology encounters among hypo-treated and others, respectively). Documentation of hypoglycemia and subsequent management plan in the electronic health record were evaluated.

RESULTS

Overall, 132 (46.6%) patients had documentation of hypoglycemia assessment, significantly more prevalent among hypo-treated patients seen in endocrinology than in primary care (72.3% vs. 47.4%; P = 0.001). Hypoglycemia was identified by patient in 38.2% of encounters. Odds of hypoglycemia assessment documentation was highest among the hypo-treated (OR 13.6; 95% CI 5.5-33.74, vs. others) and patients seen in endocrine clinic (OR 4.48; 95% CI 2.3-8.6, vs. primary care). After documentation of hypoglycemia, treatment was modified in 30% primary care and 46% endocrine clinic encounters; P = 0.31. Few patients were referred to diabetes self-management education and support (DSMES).

CONCLUSIONS

Continued efforts to improve hypoglycemia evaluation, documentation, and management are needed, particularly in primary care. This includes not only screening at-risk patients for hypoglycemia, but also modifying their treatment regimens and/or leveraging DSMES.

Electronic Health Records as Valuable Data Sources in the Health Care Quality Improvement Process

BACKGROUND

In North Karelia, Finland, the regional electronic health records (EHRs) enable flexible data retrieval and area-level analyses. The aim of this study was to assess the early detection of type 2 diabetes (T2D) in the region and to evaluate the performed activities in order to improve the processes between the years 2012 and 2017.

METHODS

Patients with T2D were identified from the EHRs using the ICD-10 codes registered during any visit to either primary or specialized care. The prevalence of T2D was calculated for the years 2012, 2015, and 2017 on the municipality level. The number of people found in the EHRs with diabetes was compared with the number found in the national register of medication reimbursement rights.

RESULTS

In 2012, the age-adjusted prevalence of T2D in North Karelia varied considerably between municipalities (5.5%-8.6%). These differences indicate variation in the processes of early diagnosis. The findings were discussed in the regional network of health professionals treating patients with T2D, resulting in sharing experiences and best practices. In 2017, the differences had notably diminished, and in most municipalities, the prevalence exceeded 8%. The regional differences in the prevalence and their downward trend were observed both in the EHRs and in the medication reimbursement rights register.

CONCLUSION

Clear differences in the prevalence of T2D were detected between municipalities. After visualizing these differences and providing information for the professionals, the early detection of T2D improved and the regional differences decreased. The EHRs are a valuable data source for knowledge-based management and quality improvement.

Chronic care coordination by integrating care through a team-based, population-driven approach: a case study

Patients with chronic conditions frequently experience behavioral comorbidities to which primary care cannot easily respond. This study observed a Vermont family medicine practice with integrated medical and behavioral health services that use a structured approach to implement a chronic care management system with Lean. The practice chose to pilot a population-based approach to improve outcomes for patients with poorly controlled Type 2 diabetes using a stepped-care model with an interprofessional team including a community health nurse. This case study observed the team's use of Lean, with which it designed and piloted a clinical algorithm composed of patient self-assessment, endorsement of behavioral goals, shared documentation of goals and plans, and follow-up. The team redesigned workflows and measured reach (patients who engaged to the end of the pilot), outcomes (HbA1c results), and process (days between HbA1c tests). The researchers evaluated practice member self-reports about the use of Lean and facilitators and barriers to move from pilot to larger scale applications. Of 20 eligible patients recruited over 3 months, 10 agreed to participate and 9 engaged fully (45%); 106 patients were controls. Relative to controls, outcomes and process measures improved but lacked significance. Practice members identified barriers that prevented implementation of all changes needed but were in agreement that the pilot produced useful outcomes. A systematized, population-based, chronic care management service is feasible in a busy primary care practice. To test at scale, practice leadership will need to allocate staffing, invest in shared documentation, and standardize workflows to streamline office practice responsibilities.

Assessing occurrence of hypoglycemia and its severity from electronic health records of patients with type 2 diabetes mellitus

AIMS

Accurate measures of hypoglycemia within electronic health records (EHR) can facilitate clinical population management and research. We quantify the occurrence of serious and mild-to-moderate hypoglycemia in a large EHR database in the US, comparing estimates based only on structured data to those from structured data and natural language processing (NLP) of clinical notes.

METHODS

This cohort study included patients with type 2 diabetes identified from January 2009 through March 2014. We compared estimates of occurrence of hypoglycemia derived from diagnostic codes to those recorded within clinical notes and classified via NLP. Measures of hypoglycemia from only structured data (ICD-9 Algorithm), only note mentions (NLP Algorithm), and either structured data or notes (Combined Algorithm) were compared with estimates of the period prevalence, incidence rate, and event rate of hypoglycemia, overall and by seriousness.

RESULTS

Of the 844,683 eligible patients, 119,695 had at least one recorded hypoglycemic event identified with ICD-9 or NLP. The period prevalence of hypoglycemia was 12.4%, 25.1%, and 32.2% for the ICD-9 Algorithm, NLP Algorithm, and Combined Algorithm, respectively. There were 6128 apparent non-serious events utilizing the ICD-9 Algorithm, which increased to 152,987 non-serious events within the Combined Algorithm.

CONCLUSIONS

Ascertainment of events from clinical notes more than doubled the completeness of hypoglycemia capture overall relative to measures from structured data, and increased capture of non-serious events more than 20-fold. The structured data and clinical notes are complementary within the EHR, and both need to be considered in order to fully assess the occurrence of hypoglycemia.

Improving compliance with screening of diabetic patients for microalbuminuria in primary care practice

Studies showed suboptimal compliance rate of primary care physicians with microalbuminuria screening. This study evaluated impact of electronic medical records (EMR) and computerized physicians reminders on compliance rate and showed small to modest improvement. Combining EMR with quality control monitoring has significantly improved compliance [OR 1.556, 95% CI 1.251–1.935, P = 0.006].

Using observational data to inform the design of a prospective effectiveness study for a novel insulin delivery device

OBJECTIVE

To inform the design and assess the feasibility of a prospective effectiveness study evaluating an insulin delivery device for patients with diabetes mellitus to be conducted within the membership of a large US commercial insurer.

METHODS

Providers who issued ≥1 insulin prescription between January 1, 2011 and September 30, 2011 were selected from administrative claims contained in the HealthCore Integrated Research Database(SM). Adult diabetes patients with visits to these providers were identified. Providers were dichotomized into high- (HVPs) and low-volume providers (LVPs) based on median number of diabetes patients per provider.

RESULTS

We identified 15,349 HVPs and 15,313 LVPs (median number of patients = 14). Most HVPs were located in the Midwest (6,291 [41.0%]) and South (5,092 [33.2%]), while LVPs were evenly distributed across regions. Over 80% (12,769) of HVPs practiced family or internal medicine; 6.4% (989) were endocrinologists. HVPs prescribed insulin to an average of 25% of patients. Patients of HVPs (522,527) had similar characteristics as patients of LVPs (80,669), except for geographical dispersion, which followed that of providers. Approximately 65% of patients were aged 21-64 years and 97% had type 2 diabetes. Among patients with ≥1 available HbA1C result during 2011 (103,992), 48.3% (50,193) had an average HbA1C ≥7.0%. Among patients initiating insulin, 79.6% (22,205) had an average HbA1C ≥7.0%.

CONCLUSION

The observed provider and patient populations support the feasibility of the prospective study. Sampling of patients from HVPs is efficient while minimizing bias as patient characteristics are similar to those from LVPs. The study also highlights unmet needs for improved glycemic control since approximately half of patients with diabetes are not on goal.

What are patient factors associated with the quality of diabetes care?: results from the Korean National Health and Nutrition Examination Survey

BACKGROUND

Recently there has been a growing interest in healthcare quality control in Korea. We examined the association between patient factors and quality indicators of diabetic care among Korean adults with diabetes.

METHODS

We obtained a sample of 335 adults aged 20 or older diagnosed with diabetes from the 2005 Korean National Health and Nutrition Examination Survey. Patient factors were divided into two categories: socioeconomic position and health-related factors. Quality indicators for diabetes care were defined as receiving preventive care services for diabetes complications (e.g., fundus examination, microalbuminuria examination, diabetes education) and diabetes-related clinical outcomes (e.g., HbA1c, blood pressure, LDL-cholesterol). We performed multiple logistic regression analyses for each quality indicator.

RESULTS

We found that people with lower education levels or shorter duration of diabetes illness were less likely to receive preventive care services for diabetes complications. Women or people with longer duration of diabetes were less likely to reach the glycemic target. Obese diabetic patients were less likely to accomplish adequate control of blood pressure and LDL-cholesterol.

CONCLUSIONS

Several factors of patients with diabetes, such as education level, duration of illness, gender, and obesity grade are associated with the quality of diabetes care. These findings can help inform policy makers about subpopulations at risk in developing a public health strategy in the future.

Impact of EHR-based clinical decision support on adherence to guidelines for patients on NSAIDs: a randomized controlled trial

PURPOSE

Electronic health records (EHRs) with clinical decision support hold promise for improving quality of care, but their impact on management of chronic conditions has been mixed. This study examined the impact of EHR-based clinical decision support on adherence to guidelines for reducing gastrointestinal complications in primary care patients on nonsteroidal anti-inflammatory drugs (NSAIDs).

METHODS

This randomized controlled trial was conducted in a national network of primary care offices using an EHR and focused on patients taking traditional NSAIDs who had factors associated with a high risk for gastrointestinal complications (a history of peptic ulcer disease; concomitant use of anticoagulants, anti-platelet medications [including aspirin], or corticosteroids; or an age of 75 years or older). The offices were randomized to receive EHR-based guidelines and alerts for high-risk patients on NSAIDs, or usual care. The primary outcome was the proportion of patients who received guideline-concordant care during the 1-year study period (June 2007-June 2008), defined as having their traditional NSAID discontinued (including a switch to a lower-risk medication), having a gastroprotective medication coprescribed, or both.

RESULTS

Participants included 27 offices with 119 clinicians and 5,234 high-risk patients. Intervention patients were more likely than usual care patients to receive guideline-concordant care (25.4% vs 22.4%, adjusted odds ratio = 1.19; 95% confidence interval, 1.01-1.42). For individual high-risk groups, patients on low-dose aspirin were more likely to receive guideline-concordant care with the intervention vs usual care (25.0% vs 20.8%, adjusted odds ratio = 1.30; 95% confidence interval, 1.04-1.62), but there was no significant difference for patients in other high-risk groups.

CONCLUSIONS

This study showed only a small impact of EHR-based clinical decision support for high-risk patients on NSAIDs in primary care offices. These results add to the growing literature about the complexity of EHR-based clinical decision support for improving quality of care.

Evaluation of control of diabetes mellitus in a subspecialty clinic

OBJECTIVE

To determine whether patients with diabetes under follow-up surveillance in a subspecialty clinic are receiving care that meets the guidelines recommended by the American Diabetes Association and American Association of Clinical Endocrinologists.

METHODS

We abstracted 2 years of medical records of patients sampled from 2 academic diabetes clinics, managed by board-certified endocrinologists. Information regarding the testing for and results of hemoglobin A1c (A1C), lipids, blood pressure, and microalbuminuria was recorded and analyzed.

RESULTS

The data on 499 patients were analyzed. More than 90% of patients had the recommended A1C, lipid, and blood pressure testing. Approximately 25% of patients had A1C levels >7%, and about 14% had A1C levels >6.5%. Total cholesterol, low-density lipoprotein cholesterol, and triglyceride levels were at target in approximately 82%, 65%, and 68% of patients, respectively. Approximately 55% of male and 50% of female patients had high-density lipoprotein cholesterol levels at target. Blood pressure was controlled in approximately a third of the patients. Approximately 30% of patients tested had microalbuminuria. Only 6.8% of patients in year 1 and 3.5% of patients in year 2 had all these risk factors (A1C, lipids, and blood pressure) at target levels.

CONCLUSION

The results indicate that in our subspecialty clinics, although testing for "risk factors" is being done at a high frequency, the targets for these risk factors are being met by only a limited number of patients. We believe that this result may be due to patient- or system-related factors but not due to physician knowledge. Therefore, emphasis should be placed on patient and system factors to improve the outcomes of the care of patients with diabetes.

Cross-sectional versus sequential quality indicators of risk factor management in patients with type 2 diabetes

BACKGROUND

The fairness of quality assessment methods is under debate. Quality indicators incorporating the longitudinal nature of care have been advocated but their usefulness in comparison to more commonly used cross-sectional measures is not clear.

AIMS

To compare cross-sectional and sequential quality indicators for risk factor management in patients with type 2 diabetes.

METHODS

The study population consisted of 1912 patients who received diabetes care from one of 40 general practitioners in The Netherlands. Clinical outcomes, prescriptions, and demographic data were collected from electronic medical records. Quality was assessed for glycemic, blood pressure, and lipid control using indicators focusing on clinical outcomes, and treatment in relation to outcomes. Indicator results were compared with a reference method based on national guidelines for general practice.

RESULTS

According to the reference method, 76% of the patients received management as recommended for glycemic control, 58% for blood pressure control, and 67% for lipid control. Cross-sectional indicators looking at patients adequately controlled gave estimates that were 10-25% lower than the reference method. Estimates from indicators focusing on uncontrolled patients receiving treatment were 10-40% higher than the reference method for blood pressure and glycemic control. Sequential indicators focusing on improvement in clinical outcomes or assessing treatment modifications in response to poor control gave results closer to the reference method.

CONCLUSIONS

Sequential indicators are valuable for estimating quality of risk factor management in patients with diabetes. Such indicators may provide a more accurate and fair judgment than currently used cross-sectional indicators.

Antihypertensive prescribing practices: impact of the antihypertensive and lipid-lowering treatment to prevent heart attack trial

This national study examines the impact of the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT) on the prescribing of thiazide-type diuretics and other antihypertensive medications for patients with newly diagnosed hypertension. A cross-sectional analysis was conducted using data from a national network of electronic health records for 2 groups with newly diagnosed hypertension and started on antihypertensive medications: one a year before and the other a year after the publication of ALLHAT. The percentage of new hypertensives started on thiazides increased from 29% pre-ALLHAT to 39% post-ALLHAT. An increase was also seen for angiotensin receptor blockers, while prescribing for angiotensin-converting enzyme inhibitors, calcium channel blockers, and beta-blockers declined. There was no significant change in prescriptions for alpha-blockers. Prescriptions for thiazides for patients with newly diagnosed hypertension increased after the publication of ALLHAT. Data from large national trials can have a considerable impact on prescribing practices.