Insulin order sets improve glycemic control and processes of care

The impact of the implementation of computerized insulin order sets for the control of hyperglycemia in hospitalized cardiac patients

Background

Glycemic control is crucial in managing hospitalized patients with type II diabetes (T2DM), and it presents as a clinical challenge in the cardiac population. Therefore, we aimed to evaluate the impact of computerized insulin order sets in T2DM hospitalized cardiac patients.

Methods

A quasi-experimental, pre- and post-study design. We included T2DM patients who were hospitalized for at least 3 days. Patients undergoing cardiac surgery were excluded. The primary endpoint was the mean difference in random blood glucose level (BGL) before and after the implementation of insulin order sets. While the secondary endpoints were to compare the median differences in fasting BGLs and the number of hyperglycemic and hypoglycemic episodes during the first 7 days. The study consisted of three phases: pre-implementation, intervention and post-phase. In the intervention phase, insulin order sets were integrated into the electronic prescribing system, and education was provided to the cardiology department. The post-phase included the patient's post-implementations.

Results

A total of 194 patients were enrolled during the study period. The mean random BGL was 11.17 mmol/L, 95% CI, 10.6-11.7 in the pre-phase and 9.5 mmol/L, 95% CI, 9-1 -9.9 mmol/L in the post-phase (P < 0.001). The median fasting BGL was 9.2 mmol/L (7.4-11.8, IQR) in the pre-phase and 8.5 mmol/L (6.6-10.3, IQR) in the post-phase (P = 0.027). The number of hypoglycemic episodes was 24 in pre-phase and 33 in post-phase (P = 0.13).

Conclusion

The use of computerized insulin order sets was associated with potential improvements in random and fasting glycemic control without increasing the risk of hyperglycemia or hypoglycemia.

Digital interventions to improve safety and quality of inpatient diabetes management: A systematic review

IMPORTANCE

Diabetes is common amongst hospitalised patients and contributes to increased length of stay and poorer outcomes. Digital transformation, particularly the implementation of electronic medical records (EMRs), is rapidly occurring across the healthcare sector and provides an opportunity to improve the safety and quality of inpatient diabetes care. Alongside this revolution has been a considerable and ongoing evolution of digital interventions to optimise care of inpatients with diabetes including optimisation of EMRs, digital clinical decision support systems (CDSS) and solutions utilising data visibility to allow targeted patient review.

OBJECTIVE

To systematically appraise the recent literature to determine which digitally-enabled interventions including EMR, CDSS and data visibility solutions improve the safety and quality of non-critical care inpatient diabetes management.

METHODS

Pubmed, Embase and Cochrane databases were searched for suitable articles. Selected articles underwent quality assessment and analysis with results grouped by intervention type.

RESULTS

1202 articles were identified with 42 meeting inclusion criteria. Four key interventions were identified; computerised physician order entry (n = 4), clinician decision support systems (n = 21), EMR driven active case finding (data visibility solutions) and targeted patient review (n = 10) and multicomponent system interventions (n = 7). Studies reported on glucometric outcomes, evidence-based medication ordering including medication errors, and patient and user outcomes. An improvement in glucometric measures particularly mean blood glucose and proportion of target range blood glucose levels and rates of evidence-based insulin prescribing were consistently demonstrated.

CONCLUSION

Digitally-enabled interventions utilised to improve quality and safety of inpatient diabetes care were heterogenous in design. The majority of studies across all intervention types reported positive effects for evidence-based prescribing and glucometric outcomes. There was less evidence for digital interventions reducing diabetes medication administration errors or impacting patient outcomes (length of stay).

Evaluation of a Diabetic Ketoacidosis Order Set in Adults With Type 1 and Type 2 Diabetes at a Tertiary Academic Medical Centre: A Retrospective Chart Audit

OBJECTIVE

To assess safety and efficacy compared to a historical cohort. Clinical practice guidelines recommend that patients with diabetic ketoacidosis (DKA) be treated with a standardized protocol. We created a multifaceted order set to promote best-practice management of DKA.

METHODS

We performed a retrospective cohort study of admissions to internal medicine for DKA in adults during a 4.5-year period; 2.25 years before and after order-set initiation. Groups were compared using independent samples t tests and Pearson chi-square or Fisher exact test (categorical data). The Mann-Whitney U test was used for continuous data not normally distributed.

RESULTS

The order-set cohort consisted of 47 admissions, 72.3% with type 1 and 27.7% with type 2 diabetes. The historical cohort consisted of 59 admissions, 69.5% with type 1 and 30.5% with type 2 diabetes. There were no significant differences in initial laboratory values between patients with type 1 and type 2 diabetes in both cohorts. The median length of hospital stay approached significance in the order-set cohort: 3.53 days (2.5 to 5.1); in the historical cohort, the median length of stay was 4.6 days (2.44 to 8.99) (p=0.102).

CONCLUSION

A standardized DKA order set was as effective and safe in type 1 and type 2 diabetes as individual physician management in an academic care setting. Further study is needed to assess its value in community hospital settings with less expertise and fewer diabetes specialty services.

Knowledge Translation to Optimize Adult Inpatient Glycemic Management With Basal Bolus Insulin Therapy and Improve Patient Outcomes

OBJECTIVES

To develop and evaluate a Basal Bolus Insulin Therapy (BBIT) Knowledge Translation toolkit to address barriers to adoption of established best practice with BBIT in the care of adult inpatients.

METHODS

This study was conducted in 2 phases and focused on the hospitalist provider group across 4 acute care facilities in Calgary. Phase 1 involved a qualitative evaluation of provider and site specific barriers and facilitators, which were mapped to validated interventions using behaviour change theory. This informed the co-development and optimization of the BBIT Knowledge Translation toolkit, with each tool targeting a specific barrier to improved diabetes care practice, including BBIT ordering. In Phase 2, the BBIT Knowledge Translation toolkit was implemented and evaluated, focusing on BBIT ordering frequency, as well as secondary outcomes of hyperglycemia (patient-days with BG >14.0 mmol/L), hypoglycemia (patient-days with BG <4.0 mmol/L), and acute length of stay.

RESULTS

Implementation of the BBIT Knowledge Translation toolkit resulted in a significant 13% absolute increase in BBIT ordering. Hyperglycemic patient-days were significantly reduced, with no increase in hypoglycemia. There was a significant, absolute 14% reduction in length of stay.

CONCLUSIONS

The implementation of an evidence-informed, multifaceted BBIT Knowledge Translation toolkit effectively reduced a deeply entrenched in-patient diabetes care gap. The resulting sustained practice change improved patient clinical and system resource utilization outcomes. This systemic approach to implementation will guide further scale and spread of glycemic optimization initiatives.

Prospective Study of Postoperative Glycemic Control with a Standardized Insulin Infusion Protocol after Infrainguinal Bypass and Open Abdominal Aortic Aneurysm Repair

BACKGROUND

The aim of this study is to examine the effect of moderate postoperative glycemic control in diabetic and nondiabetic patients undergoing infrainguinal bypass (INFRA) or open abdominal aortic aneurysm (OAAA) repair.

METHODS

In a single center prospective study, we investigated postoperative glycemic control using a standardized insulin infusion protocol after elective INFRA bypass (n = 53, 62%) and OAAA repair (n = 33, 38%) between January 2013 and March 2015. The primary end point was optimal glycemic control, defined as having ≥85% of blood glucose values within the 80-150 mg/dL target range. Suboptimal glycemic control was defined as <85% of blood glucose values within the blood glucose target range. Secondary end points included in-hospital and 30-day surgical site infection (SSI) rates, composite adverse events, length of stay (LOS), and hospital cost.

RESULTS

Optimal glycemic control was achieved more commonly after OAAA repair than INFRA bypass (85% vs. 64%, P = 0.04). Moderate hypoglycemia (<70 mg/dL) was observed in 32 (37%) patients, while severe hypoglycemia (<50 mg/dL) was observed in 6 (7%) patients. SSI at 30 days was more common after INFRA bypass (n = 15, 29%) than OAAA repair (n = 2, 6%) (P = 0.01). In-hospital (6% vs. 6%, P = 1.0) and 30-day (24% vs. 22%, P = 1.0) SSI rates were similar for optimal versus suboptimal glycemic control patients after INFRA bypass. In-hospital (4% vs. 0%, P = 1.0) and 30-day (4% vs. 0%, P = 1.0) SSI rates were similar for optimal versus suboptimal glycemic control patients after OAAA repair. The percentage of blood glucose > 250 mg/dL was similar for patients with and without SSI (3% vs. 2%, P = 0.36). Adverse cardiac and pulmonary events after INFRA bypass were similar between groups (9% vs. 21%, P = 0.23; 0% vs. 5%, P = 0.36, respectively). Adverse cardiac and pulmonary events after OAAA repair were similar between groups (2% vs. 0%, P = 1.0; 4% vs. 0%, P = 1.0, respectively). Mean LOS was significantly lower in patients with optimal glycemic control after INFRA bypass (4.2 vs. 7.3 days, P = 0.02). Mean LOS was similar after OAAA repair for patients with optimal and suboptimal control (5.8 vs. 6.4 days, P = 0.46). Inpatient hospital costs after INFRA bypass were lower for the group with optimal (median $25,012, interquartile range [IQ] range $21,726-28,331) versus suboptimal glycemic control (median $28,944, IQ range 24,773-41,270, P = 0.02).

CONCLUSIONS

Postoperative hyperglycemia is common after INFRA bypass and OAAA repair and can be effectively ameliorated with an insulin infusion protocol. The protocol was low risk with reduced LOS and cost after INFRA bypass. Complications including SSI were not reduced in patients with optimal perioperative glycemic control.

Computerized Insulin Order Sets and Glycemic Control in Hospitalized Patients

BACKGROUND

The purpose of this study was to evaluate the impact of computerized provider order entry subcutaneous insulin order sets on inpatient glycemic control and ordering behavior.

METHODS

This was an interrupted time series study of non-intensive care patients at an urban teaching hospital. The primary outcome was proportion of capillary blood glucose in optimal range (4.0-10.0 mmol/L [72-180 mg/dL]) during the 6 months before and after a change to a computerized provider order entry-integrated insulin order set. Secondary outcomes included other measures of glycemia (hyperglycemia [>13.9mmol/L (250 mg/dL)], hypoglycemia [<4.0 mmol/L (72 mg/dL)], severe hypoglycemia [<2.2 mmol/L (40 mg/dL)]) and ordering behavior (use of basal-bolus-correctional insulin regimens). Comparisons of sensitivity-based versus generic correctional scale were also conducted.

RESULTS

A total of 63,393 measurements were obtained from June 2011 to June 2012. Order set usage was limited (51.5%). The weekly proportion of capillary blood glucose within the optimal range was not significantly different after the switch to computerized provider order entry order sets (pre-period: 64.9% vs post-period: 65.3%, P = .996). There were no differences in the proportions of moderate or severe hyperglycemia (pre-period: 10.9% vs post-period: 12.0%, P = .061) and hypoglycemia (pre-period: 1.9% vs post-period: 1.6%, P = .144). However, an increased proportion within the optimal range was seen in those with an order set featuring a sensitivity-based correctional scale versus orders without (65.3% vs 55.0%, P <.001). Increased basal-bolus-correctional ordering was observed after protocol implementation (20.3% vs 23.6%, P <.0001).

CONCLUSIONS

With low institutional uptake, computerized insulin order sets did not improve inpatient glycemic control.

Impact of a multifaceted strategy to improve perioperative diabetes care

AIMS

To assess the impact of a multifaceted strategy to improve perioperative diabetes care throughout the hospital care pathway.

METHODS

We conducted a controlled before-and-after study in six hospitals. The purpose of the strategy was to target four predominant barriers that obstruct optimal care delivery. We provided feedback on baseline indicator performance, developed a multidisciplinary protocol and patient information, and provided professional education. After a 6-month intervention, we determined the performance changes against three outcome indicators and nine process indicators using data on 811 patients with diabetes who underwent major surgery. The progress of the interventions was monitored closely.

RESULTS

Two process indicators improved significantly in the intervention hospitals: the proportion of patients for whom glycaemic control had been evaluated preoperatively increased by 9% (P < 0.002) and the proportion of patients with blood glucose measurements within 1 h after surgery increased by 29% (P < 0.0001). Four other process indicators and all three outcome indicators improved more in the intervention hospitals than in the control hospitals, but the differences were not statistically significant. These included the proportion of patients with all glucose values at 6-10 mmol/l (+3%) and the proportion of patients with hyperglycaemia (-8%). The implementation of the multidisciplinary protocol was still ongoing after the 6-month intervention period.

CONCLUSIONS

The multifaceted improvement strategy had a limited impact on the quality of perioperative diabetes care. This study demonstrates the complexity of improving perioperative diabetes care throughout the multiprofessional hospital care pathway.

Shift in responsibilities in diabetes care: the Nurse-Driven Diabetes In-Hospital Treatment protocol (N-DIABIT)

AIMS

To investigate the feasibility, safety and efficacy of the Nurse-Driven Diabetes In-Hospital Treatment protocol (N-DIABIT), which consists of nurse-driven correctional therapy, in addition to physician-guided basal therapy, and is carried out by trained ward nurses.

METHODS

Data on 210 patients with diabetes consecutively admitted in the 5-month period after the introduction of N-DIABIT (intervention group) were compared with the retrospectively collected data on 200 consecutive patients with diabetes admitted in the 5-month period before N-DIABIT was introduced (control group). Additional per-protocol analyses were performed in patients in whom mean patient-based protocol adherence was ≥ 70% (intervention subgroup, n = 173 vs. control subgroup, n = 196).

RESULTS

There was no difference between the intervention and the control group in mean blood glucose levels (8.9 ± 0.1 and 9.1 ± 0.2 mmol/l, respectively; P = 0.38), consecutive hyperglycaemic (blood glucose ≥ 10.0 mmol/l) episodes; P = 0.15), admission duration (P = 0.79), mean number of blood glucose measurements (P = 0.21) and incidence of severe hypoglycaemia (P = 0.29). Per-protocol analyses showed significant reductions in mean blood glucose levels and consecutive hypoglycaemia and hyperglycaemia in the intervention compared with the control group.

CONCLUSIONS

Implementation of N-DIABIT by trained ward nurses in non-intensive care unit diabetes care is feasible, safe and non-inferior to physician-driven care alone. High protocol adherence was associated with improved glycaemic control.

Implementation of Computerized Physician Order Entry Is Associated With Increased Thrombolytic Administration for Emergency Department Patients With Acute Ischemic Stroke

STUDY OBJECTIVE

Electronic health record systems with computerized physician order entry and condition-specific order sets are intended to standardize patient management and minimize errors of omission. However, the effect of these systems on disease-specific process measures and patient outcomes is not well established. We seek to evaluate the effect of computerized physician order entry electronic health record implementation on process measures and short-term health outcomes for patients hospitalized with acute ischemic stroke.

METHODS

We conducted a quasi-experimental cohort study of patients hospitalized for acute ischemic stroke with concurrent controls that took advantage of the staggered implementation of a comprehensive computerized physician order entry electronic health record across 16 medical centers within an integrated health care delivery system from 2007 to 2012. The study population included all patients admitted to the hospital from the emergency department (ED) for acute ischemic stroke, with an initial neuroimaging study within 2.5 hours of ED arrival. We evaluated the association between the availability of a computerized physician order entry electronic health record and the rates of ED intravenous tissue plasminogen activator administration, hospital-acquired pneumonia, and inhospital and 90-day mortality, using doubly robust estimation models to adjust for demographics, comorbidities, secular trends, and concurrent primary stroke center certification status at each center.

RESULTS

Of 10,081 eligible patients, 6,686 (66.3%) were treated in centers after the computerized physician order entry electronic health record had been implemented. Computerized physician order entry was associated with significantly higher rates of intravenous tissue plasminogen activator administration (rate difference 3.4%; 95% confidence interval 0.8% to 6.0%) but not with significant rate differences in pneumonia or mortality.

CONCLUSION

For patients hospitalized for acute ischemic stroke, computerized physician order entry use was associated with increased use of intravenous tissue plasminogen activator.

Tides of change: improving glucometrics in a large multihospital health care system

BACKGROUND

This study explores the relationship between education for inpatient diabetes providers and the utilization of insulin order sets, inpatient glucometrics, and length of stay in a large health care system.

METHODS

The study included patients with and without the diagnosis of diabetes. An education campaign included provider-directed diabetes education administered via online learning modules and in-person presentations by trained individuals. Relationships among provider-attended diabetes education, order set usage, and inpatient glucometrics (hypo- and hyperglycemia) were analyzed, as well as length of stay.

RESULTS

Insulin use knowledge scores for all providers averaged 52%, and improved significantly to 93% (P < .001) by the end of the education intervention period. Likewise utilization of electronic basal-bolus order sets increased from a baseline of 20% for patients receiving insulin to 86% within 6 weeks (P < .01) of introduction of order sets. During the study, the incidence of hypoglycemia and hyperglycemia declined from 1.47% to 1.27% and from 23.21% to 17.80%, respectively. However, these improvements were not sustained beyond the completion of the education campaign.

CONCLUSIONS

Education of diabetes health care providers was provided in a large, multihospital system through the use of online learning modules. Adoption of standardized insulin order sets was associated with an improvement in glucometrics. This educational and quality initiative resulted in overall improvements in insulin knowledge, adherence to recommended order sets, inpatient glucometrics, and patient length of stay. These improvements were not sustained, reinforcing the need for repeated educational interventions for those involved in providing inpatient diabetes care.

Improvement in inpatient glycemic care: pathways to quality

The management of inpatient hyperglycemia is a focus of quality improvement projects across many hospital systems while remaining a point of controversy among clinicians. The association of inpatient hyperglycemia with suboptimal hospital outcomes is accepted by clinical care teams; however, the clear benefits of targeting hyperglycemia as a mechanism to improve hospital outcomes remain contentious. Glycemic management is also frequently confused with efforts aimed at intensive glucose control, further adding to the confusion. Nonetheless, several regulatory agencies assign quality rankings based on attaining specified glycemic targets for selected groups of patients (Surgical Care Improvement Project (SCIP) measures). The current paper reviews the data supporting the benefits associated with inpatient glycemic control projects, the components of a successful glycemic control intervention, and utilization of the electronic medical record in implementing an inpatient glycemic control project.

Improving care transitions from hospital to home: standardized orders for home health nursing with remote telemonitoring

A task force at a multihospital health care system partnered with home health agencies to improve gaps during the discharge transition process. A standardized order template for home health nursing and remote telemonitoring was developed to decrease discrepancies in communication between hospital health care providers and home health nurses caring for patients with heart failure. Pilot results showed significantly improved communication with no readmissions, using the order template.