Abstract
Purpose of Review
The purpose of this review is to discuss strategies to reduce rates of hypoglycemia in the non-critical care setting.
Recent Findings
Strategies to reduce hypoglycemia rates should focus on the most common causes of iatrogenic hypoglycemia. Creating a standardized insulin order set with built-in clinical decision support can help reduce rates of hypoglycemia. Coordination of blood glucose monitoring, meal tray delivery, and insulin administration is an important and challenging task. Protocols and processes should be in place to deal with interruptions in nutrition to minimize risk of hypoglycemia. A glucose management page that has all the pertinent information summarized in one page allows for active surveillance and quick identification of patients who may be at risk of hypoglycemia. Finally, education of prescribers, nurses, food and nutrition services, and patients is important so that every member of the healthcare team can work together to prevent hypoglycemia.
Summary
By implementing strategies to reduce hypoglycemia, we hope to lower rates of adverse events and improve quality of care while also reducing hospital costs. Future research should focus on the impact of an overall reduction in hypoglycemia to determine whether the expected benefits are achieved.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Inpatient hypoglycemia is a significant and often preventable problem. It has been associated with increased length of stay, hospital costs, mortality, and utilization of nursing resources during treatment as well as patient fear and dissatisfaction [1,2,3,4, 5•, 6]. With >10% of patients on a hypoglycemic agent suffering at least one hypoglycemic event and most of them being preventable, iatrogenic hypoglycemia in the hospital setting warrants attention and action [7]. The objective of this review is to present strategies to reduce hypoglycemia in the non-critical care setting and promote the safe and effective use of insulin throughout the hospital.
Scope of Problem
Adverse drug events are the most common cause of inpatient complications, affecting 1.9 million hospital stays annually [8] with an estimated cost of $4.2 billion per year. Over half of all ADEs are from hypoglycemia agents with the majority of these being preventable [7, 9]. Approximately 20–40% of patients in the inpatient setting have diabetes or hyperglycemia requiring glucose lowering medication and are at risk for iatrogenic hypoglycemia [10].
Why Hypoglycemia Matters
Hypoglycemia is associated with poor outcomes, increased costs, and increased mortality [1,2,3,4]. Inpatient hypoglycemia leads to approximately 38% higher costs and increases length of stay by 3 days [3, 11]. It also results in higher mortality rates and greater odds of being discharged to a skilled nursing home compared to patients without hypoglycemia [11]. While a causative link between hypoglycemia and mortality has not definitively been made and hypoglycemia may be a marker of underlying disease rather than the cause, it is prudent to avoid hypoglycemia until that relationship is well established [12, 13]. In addition, hypoglycemia leads to increased use of nursing resources during treatment as well as patient dissatisfaction. A single hypoglycemic episode increases the risk of future hypoglycemic, with 44% of patients experiencing at least one recurrent hypoglycemic event [14, 15]. In another study, 84% of patients who had a severe hypoglycemic episode (defined as a blood glucose <40 mg/dL) had a prior hypoglycemic event (<70 mg/dL) [16]. With the large number of hospitalized patients with diabetes, the economic impact of hypoglycemia in the hospital can quickly escalate.
Definition of Hypoglycemia
The definition of clinically significant hypoglycemia has recently been updated by the American Diabetes Association (ADA) to a glucose concentration of <54 mg/dL [17]. The prior definition of hypoglycemia of ≤70 mg/dL is considered an alert value to allow time for patients and caregivers to react, either by treating the hypoglycemia or adjusting the diabetes regimen [17, 18]. There is no specific glucose threshold for severe hypoglycemia, rather it is defined as “hypoglycemia associated with severe cognitive impairment requiring external assistance for recovery,” but blood glucose (BG) values <40 or <50 mg/dL have been commonly used to define severe hypoglycemia [17]. These clinical values are separate and different than the laboratory “critical value,” which is the cutoff point of when the lab needs to notify the clinician. Critical values vary from institution to institution and are based on the need to take immediate action.
Metrics
Which Metrics to Follow
Despite compelling evidence associating hypoglycemia with increased morbidity, mortality, and cost, nearly one third of the hospitals have no metric to track quality of inpatient glycemic management [19]. Furthermore, for those hospitals that are tracking hypoglycemia rates, there is no widely accepted standardized metric, which makes benchmarking and comparison difficult. Both the glucose value and unit of analysis are controversial, so currently, each institution establishes its own metrics. While BG <70 mg/dL is a common and widely accepted definition of hypoglycemia, some institutions only follow severe hypoglycemia, frequently defined as BG <40 or <50 mg/dL [18]. The unit of analysis is another variable at stake and while the glucose value is the simplest approach, the patient day option introduces patient-level analysis and controls for length of stay which is more clinically relevant and considered the most actionable metric by clinicians [20,21,22, 23•]. A group from Yale proposed a formal set of performance measures termed “glucometrics,” to facilitate internal and external assessment of inpatient glycemic control and The Society of Hospital Medicine (SHM) provides a web-based data and reporting center that calculates glucometrics on blood glucose data uploaded by users [20, 23•].
Hospital Monitoring of Blood Glucose
Point of care (POC) BG monitoring has been the standard of care for inpatient BG monitoring and is an integral part of glycemic management in the hospital setting because of the quick turn-around time. However, glucose meters have accuracy limitations with significant discrepancies between capillary, venous and arterial plasma samples observed in patients with low or high hemoglobin concentrations and with hypoperfusion [17, 24]. Therefore, it is important that any BG reading that does not correlate with the patient’s clinical status should be immediately repeated and/or confirmed through conventional laboratory glucose tests before clinical action is taken. Since initial FDA standards were developed for glucose meters used by lay persons in the community, they have now established a separate category for POC glucose meters for use in healthcare settings and the FDA has released a specific guidance on in-hospital use with stricter standards especially in critically ill patients [25]. However, immediate enforcement by the Centers for Medicaid and Medicare Services (CMS) could result in more harm than good given no immediately available, affordable, and timely alternatives [26].
Continuous glucose monitoring (CGM) provides a potential advantage over POC glucose monitoring in the inpatient setting. It provides frequent measurements of interstitial glucose levels with direction and magnitude of glucose trends, which can be advantageous in detecting and reducing the incidence of hypoglycemia in the inpatient setting. Several inpatient studies have shown that CGM use detected more hypoglycemic events, but did not show an overall improvement in glycemic control. While CGM holds promise for improving patient safety in the inpatient setting, its use is not recommended until more safety and efficacy data become available [27, 28].
Benchmarking
Since no specific set of glucometrics have been defined or endorsed by stakeholder groups including The Joint Commission, CMS, or the National Quality Forum (NQF), except for Surgical Care Improvement Project (SCIP) measures which are currently on hold, it is often difficult to compare performance outside your own institution [29]. There are a few external tools available for computing glucometrics, but only two provide benchmarking capabilities including RALS and SHM [30]. Some institutions also utilize internal benchmarking between units within one hospital, between hospitals within one health system, or between hospitals within a hospital engagement network. Standardized metrics are an important first step in establishing a platform for widespread comparison, followed by mandatory reporting. Hypoglycemic ADEs have been targeted by a major federal interagency work group and standardized metrics for both hyper and hypoglycemia have been submitted to NQF with recommendation for endorsement, but have not been finalized [31, 32].
Using Data to Guide Improvement Efforts
Metrics are an important first step in starting any quality improvement (QI) project and it is important to have an understanding of current processes as well as baseline performance and outcome measures to help guide improvement efforts. This baseline data will help identify gaps in care and prioritize efforts. SHM has a detailed implementation guide to help guide QI efforts to improve inpatient glycemic control [23•]. In addition to basic glucometrics measuring overall hyper- and hypoglycemia rates, drilling down data to identify specific causes of hypoglycemia will help further identify areas for targeting improvement efforts [5•, 33]. The Joint Commission recommends that all hypoglycemic events be evaluated for a root cause and the episodes be aggregated and reviewed to address system wide issues. There are several published examples of how institutions and health systems use metrics to guide improvement efforts to reduce hypoglycemia including implementation of “bundled” preventative therapies to reduce rate of hypoglycemia by 56–80% [5•, 33, 34].
Risk Factors
There are several risk factors that predispose patients to hypoglycemia in the hospital. These risk factors can be classified as inherent or iatrogenic. Inherent risk factors include advanced age, renal failure, liver failure, heart failure, sepsis, and neoplasm [35]. Elderly patients are often more insulin sensitive and may not be able to communicate symptoms of hypoglycemia to hospital staff. Older patients also develop hypoglycemic symptoms at a significantly lower mean glucose compared to younger patients [36]. These factors often lead to more prolonged and more severe hypoglycemia in the elderly. Since the kidneys are the main organs that metabolize exogenous insulin, the risk of hypoglycemia increases in patients with acute or chronic renal insufficiency when insulin doses are not reduced or when anti-diabetic medications are not discontinued [37,38,39,40,41].
Iatrogenic risk factors include use of insulin, oral diabetic agents, NPO status, corticosteroid taper, and hospital nutrition. The use of insulin poses risk of hypoglycemia even with appropriate use, but that risk is greatly increased with inappropriate use or failure to match with nutritional intake [33, 42]. Oral diabetic agents, more specifically sulfonylureas, put hospitalized patients at higher risk of hypoglycemia given the frequent change in PO status and poor appetite as a side effect of medications and from being ill [14]. NPO status increases risk of hypoglycemia especially when a basal insulin dose is too high or when oral diabetic agents are not held. While corticosteroids cause hyperglycemia, corticosteroid tapers often result in hypoglycemia when insulin doses are not simultaneously tapered or tapered at a rapid enough rate. Hospital nutrition also puts patients at risk of hypoglycemia particularly when patients find the food to be unpalatable or their appetite is poor, and nutritional insulin is given without regard for amount of carbohydrates eaten per meal. Hypoglycemia in the hospitalized patient is frequently multifactorial, involving both inherent and iatrogenic risk factors. Keeping these risk factors in mind when starting and adjusting insulin regimens is the first step to reducing hypoglycemia rates.
Top Causes of Hypoglycemia
There have been several published studies identifying top causes of hypoglycemia in the inpatient setting [43, 44]. Table 1 highlights several common, preventable sources of iatrogenic hypoglycemia. These most common failure modes from the literature coupled with local metrics and case reviews should help prioritize efforts [5•, 33].
Strategies to Reduce Hypoglycemia
Inappropriate Prescribing
Inappropriate prescribing is likely the most common cause of both inpatient hyper- and hypoglycemia, and efforts to improve and standardize prescribing practices should be a high priority. There is good evidence supporting the creation and maintenance of standardized insulin order sets to reduce hypoglycemia as well as published guidance on how to dose insulin safely and effectively [23•, 45]. These order sets should be protocol driven, evidence based, and include built-in clinical decision support to guide providers in ordering complex insulin regimens based on the patients’ nutritional status [46••]. Key components to include in the subcutaneous insulin order set are outlined in Table 2.
In addition to subcutaneous insulin order sets, protocol-driven and evidence-based order sets for other specific uses of insulin such as transition from intravenous to subcutaneous insulin, administration via subcutaneous insulin pumps, post-discharge dosing, diabetic ketoacidosis, hyperosmolar states, hyperkalemia, and post-cardiac surgery care should be developed and implemented as well [46••]. Hyperkalemia treatment is often an overlooked source of iatrogenic hypoglycemia and careful consideration of treatment modalities and dosing as well as integrated hypoglycemia protocol for monitoring and treatment should be included when addressing hyperkalemia [48].
Nutrition
Achieving good glucose control in the hospital is not only dependent on having the right insulin orders, but also on nurse and food service-driven processes that are necessary to ensure appropriate timing of blood glucose monitoring (BGM) and matching of the insulin and nutrition to avoid hyper- or hypoglycemia. Too often, glycemic control improvement efforts focus on the ordering of insulin and overlook processes that impact the underlying nutrition sources that dictate the insulin dosing.
Carbohydrate-Controlled Diet
A carbohydrate-controlled diet is the preferred meal plan for most hospitalized patients with diabetes or hyperglycemia and helps to improve the matching of carbohydrates and nutritional insulin administration [49, 50]. The carbohydrate content of food should be labeled clearly on the ordering and tray menus and appropriate steps in the kitchen need to be made to ensure the carbohydrate portions on the tray match those labeled on the menu. This not only helps with appropriate matching of insulin and nutrition, but is a helpful tool to improve patient’s understanding of carbohydrates, assists them in selecting appropriate foods and making appropriate substitutions with outside food. The achievement of glycemic goals and patient satisfaction is more likely when patients, nurses, and meal service staff understand carbohydrate counting, the rationale behind the meal plan, and the importance of matching BGM, insulin, and nutrition [51].
Regarding enteral nutritional therapy, diabetes specific formulas are superior to standard formulas in controlling glucose and insulin [52]. A patient’s nutritional needs in the hospital are often complex and multifactorial, so a registered dietitian who is knowledgeable and skilled in medical nutrition therapy should be involved whenever possible. This person can serve as a resource and guide when integrating patient’s clinical condition, food preferences, and often multiple dietary restrictions into a unified nutrition plan.
Coordination of Blood Glucose Monitoring, Tray Delivery, and Insulin
Meal delivery, BGM, and insulin administration should be well coordinated and standardized [46••]. While it is easy to state the goals of having these three distinct processes done in a coordinated and timely manner, achieving this in the complex inpatient environment can be quite challenging. As many as four to five people might play a role and often times not realize the impact their part has on the overall goal. Common issues encountered include inconsistent meal delivery times, BGM done far before mealtime, trays delivered to rooms without coordination of either BGM or insulin, blood glucoses being checked after the patient has started the meal, and nurse concerned about hypoglycemia and unwilling to give insulin until completion of meal which is often delayed more than 1 h after meal consumption [23•]. The goal should be for BGM, meal delivery, and insulin administration to occur within a 30–60 min time frame.
Patients and their caregivers should be educated to request administration of mealtime insulin when the patient begins his/her meal [46••]. In patients with variable nutritional intake, mealtime insulin should be delayed, but ideally, not more than 15–30 min after the first bite of the meal in order to avoid stacking of insulin dosing with the next meal. It is also important that the dose be tied to the carbohydrate intake. Other recommended quality improvement interventions to address this complex task include adapting a practice to recheck blood glucose if a meal is not delivered within 30 min of the first glucose check, implementing practice of food service calling to announce tray delivery to serve as a sign that blood glucose monitoring should begin, alerting nurses to tray arrival so the cascade of events can occur in a timely manner, educating nurses to give insulin with tray delivery as default except in select patients with unpredictable meal intake and to incorporate prandial carbohydrate intake into the patient’s insulin order [53,54,55,56]. Several groups have demonstrated improved glycemic control and reduction in hypoglycemia by establishing a standardized, coordinated process that improves timing of blood glucose monitoring and meal and insulin delivery [55]. Providing basic carbohydrate counting education to all staff involved in taking orders and delivering meals to patients as well as the bedside nurses is worthwhile.
Troubleshooting for Interruptions
Planned and unplanned interruptions in nutrition occur in the hospital setting on a daily basis and need to be accounted for when establishing protocols and processes. For planned NPO, if indications and holding parameters are built into order sets and the insulin is dosed appropriately, the insulin orders do not necessarily need to be changed, especially for brief periods of NPO, see Table 3 for examples. For periods of prolonged NPO or for patients at high risk of hypoglycemia, low-dose dextrose containing IVFs can be started to reduce the risk of hypoglycemia, but this is not required in the majority of hospitalized patients with diabetes [23•]. Some institutions also have separate eating and NPO order sets for easy transition between the two clinical scenarios. For example, in some institutions, the nutritional and correction insulin doses are combined into one order and therefore need to be changed to correction only during times of NPO which can be done easily with separate eating and NPO order sets.
For unplanned interruptions in nutrition, a standardized troubleshooting plan should be in place and easily accessible for routine use. As many of the steps that can be hardwired or nurse driven, the better as waiting for provider response or action can often lead to delays in care and the window of time required for action can be missed, resulting in potentially avoidable hypoglycemia. One example would be to have an order for D10 to run at tube feed rate PRN interruption in tube feed built into the insulin order set for continuous nutrition. If no clinical contraindications, the provider could include that option so the RN had the ability to start the D10 anytime there is an interruption in continuous nutrition source to prevent hypoglycemia. Since unexpected interruption in nutrition is a top source of hypoglycemia, it warrants dedicated efforts to develop algorithms, protocols, order sets, and educational efforts targeting this important issue.
Adjustments
A well-thought-out insulin regimen ordered on admission is just a start as patient’s insulin requirements, nutritional intake, and medications are often changing throughout their hospitalization. Blood glucose values will need to be evaluated daily and necessary adjustments to insulin regimens made according to blood glucose trends and expected changes in other contributing factors such as nutrition plan, renal function, and steroid dose changes.
Electronic Health Record Tools
Most electronic health records (EHR) come with a glucose management page “out of the box” that can be easily customized to an institution’s needs and preferences. Building such a “one stop shop” can significantly reduce clinical inertia in evaluating blood glucose trend and adjusting insulin doses, see Fig. 1. A real-time hypoglycemia risk alert has also shown significant improvement in reducing severe hypoglycemic events [57]. Some institutions have also developed a color-coded dashboard of all patients with a quick indicator of the patient being in, above or below target range to help prioritize evaluation. The more information the provider has in one place and the fewer number of clicks it takes to get there, the more likely such a page will be utilized to identify glycemic patterns and make smart adjustments in the insulin regimen [33, 46••, 53].
Insulin Dosing Adjustments
An ADA consensus report suggests that an insulin regimen be reassessed when BG values fall <100 mg/dL and that modification is usually necessary when BG values fall <70 mg/dL because such readings often predict imminent severe hypoglycemia [10]. In fact, fasting BG <100 mg/dL is a strong predictor of a hypoglycemic event the next day and should serve as a warning sign to adjust insulin doses [58]. Modification can be done by reducing basal doses for fasting hypoglycemia, nutritional doses for post-prandial hypoglycemia, despite appropriate insulin and nutrition matching, or reducing total daily dose by 10–20% while maintaining the preferable 50:50 basal:bolus ratio [53, 58,59,60]. One institution even restricted high-dose glargine doses >0.5 units/kg/day to endocrine staff to help reduce the “creeping basal” phenomenon or providers continuing inappropriately high home basal doses in the hospital. They were able to reduce hypoglycemia rates without an increase in hyperglycemia rates by implementing these dosing restrictions [61].
Active Surveillance
Despite EHR tools available to help identify patients out of the target range or to consolidate data needed for insulin adjustments, blood glucose management often remains one of the many problems on the problem list and may not be considered a priority. In order to help reduce clinical inertia even further, The American Society of Health-System Pharmacists (ASHP) Expert Consensus panel recommends real-time, institution-wide glucose reports to ensure appropriate surveillance and management of patients with unexpected hypo- and hyperglycemia [46••]. Identifying and addressing outliers in real time is a form of active surveillance, or measure-vention (coupling real-time measurement with concurrent intervention) [62,63,64] and has been used successfully to help reduce hospital-wide hypoglycemia rates [33, 65,66,67].
Active surveillance requires three steps: (1) identifying patients in the hospital with a potential deficit in care, (2) triaging the case, and (3) implementing real-time intervention to bring the patient into target range. EHR tools can help to hasten this process, but institutions without an EHR have been able to successfully implement active surveillance as well. Depending on resources available, these cutoffs can be adjusted accordingly. Examples of cutoffs include BG <50 mg/dL, BG <70 mg/dL, and BG <70 mg/dL on basal insulin. At our institution, we use a cutoff of BG <80 mg/dL and on insulin to identify patients at risk of hypoglycemia so we can intervene to prevent an event <70 mg/dL. Interventions vary depending on resources; examples include paging the provider, face-to-face communication, note in the medical record, or patient consult.
Nurses’ Role in Glycemic Management
In addition to having a standardized hospital-wide, nurse-initiated hypoglycemia treatment protocol to immediately address blood glucose levels <70 mg/dL, hospitals should also have a hypoglycemia prevention plan to address causes of hypoglycemia and take action to reduce subsequent episodes. Unfortunately, hypoglycemia documentation and adherence to hypoglycemia protocols are often poor [14, 68, 69]. However, studies show that improved documentation and notification of a first hypoglycemic event can lead to a lower rate of recurrence [70,71,72]. The ADA also recommends that each episode of hypoglycemia in the hospital be documented in the medical record and tracked, which provides an opportunity to empower nurses to help identify potential triggering events and respond with appropriate preventative actions [10]. In one institution, implementation of a standardized hypoglycemia documentation tool, which included assessment of possible reasons for the event, led to a significant reduction in hypoglycemia rates [70]. Nurses at the bedside are well positioned to play a valuable role in identifying possible contributing factors as well as timely notification to the primary care team. Improving this crucial communication surrounding a hypoglycemic event can create opportunities for immediate treatment modification and reduction in subsequent events.
Education
Staff education is a key component of any quality improvement effort and the target audience related to reducing hypoglycemia should include members of the care team, e.g., physicians, nurse practitioners, physician assistants, trainees, pharmacists, nurses, dietitians, food service, and patients. Several education modalities for providers have proved effective, including case-based learning tutorials, online modules, grand rounds, and unit-based lectures. Most lead to increased knowledge and confidence, improved prescribing practices and reduced hyperglycemia without an increase in hypoglycemia. Focused education with nursing staff on the cause, documentation, and importance of provider notification of hypoglycemia has been shown to reduce rates of hypoglycemia [70, 73,74,75,76,77,78].
The patient is also a valuable target for educational efforts to reduce hypoglycemia. ASHP recommends educating patients and their caregivers to request administration of rapid-acting insulin when the meal is served to improve the timing of meal consumption and insulin administration [46••]. At our institution, we also encourage the patients to count the carbohydrate servings on their tray, estimate likely consumption, and communicate with the nurse so the nutritional insulin dose is adjusted accordingly. It is also helpful to educate patients on the signs and symptoms of hypoglycemia so they can notify their nurse in a timely manner should they begin to experience symptoms. If a patient brings their home blood glucose meter to the hospital, it is important to explain that the hospital meter must be used for all treatments and charting in the medical record. Diligent patients may feel more comfortable having the capacity to monitor their blood glucose at any time during their hospital stay, but must call the nurse for confirmation with the hospital meter if the result is out of range.
Conclusion
Hypoglycemia is a significant, but often overlooked problem in the inpatient setting, with the majority of iatrogenic hypoglycemic events being preventable. Targeting hypoglycemia in the non-critical care setting can potentially reduce patient morbidity and mortality as well as reduce hospital costs. Having reliable metrics, the ability to compare performance with other institutions and targeting the most common causes of iatrogenic hypoglycemia is a good place to start a hypoglycemia prevention program. Implementing the strategies outlined here to reduce hypoglycemia, either individually or as a bundled approach, can lead to significant reductions in hypoglycemia rates, improvement in patient safety and overall quality of care in the inpatient setting.
References
Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
Turchin A, Matheny ME, Shubina M, Scanlon JV, Greenwood B, Pendergrass ML. Hypoglycemia and clinical outcomes in patients with diabetes hospitalized in the general ward. Diabetes Care. 2009;32(7):1153–7.
Garg R, Hurwitz S, Turchin A, Trivedi A. Hypoglycemia, with or without insulin therapy, is associated with increased mortality among hospitalized patients. Diabetes Care. 2013;36(5):1107–10.
Brodovicz KG, Mehta V, Zhang Q, Zhao C, Davies MJ, Chen J, et al. Association between hypoglycemia and inpatient mortality and length of hospital stay in hospitalized, insulin-treated patients. Curr Med Res Opin. 2013;29(2):101–7.
Nirantharakumar K, Marshall T, Hodson J, Narendran P, Deeks J, Coleman JJ, et al. Hypoglycemia in non-diabetic in-patients: clinical or criminal? PLoS One. 2012;7(7):e40384.
• Milligan PE, Bocox MC, Pratt E, Hoehner CM, Krettek JE, Dunagan WC. Multifaceted approach to reducing occurrence of severe hypoglycemia in a large healthcare system. Am J Health Syst Pharm. 2015;72(19):1631–41. This article provides a great example of how one hospital system was able to significantly reduce severe hypoglycemia across 11 hospitals using many of the approaches mentioned in this paper.
Finfer S, Chittock DR, Su SY, Blair D, Foster D, Dhingra V, et al. Intensive versus conventional glucose control in critically ill patients. N Engl J Med. 2009;360(13):1283–97.
Classen DC, Jaser L, Budnitz DS. Adverse drug events among hospitalized Medicare patients: epidemiology and national estimates from a new approach to surveillance. Jt Comm J Qual Patient Saf. 2010;36(1):12–21.
Analytics) PATH, Analytics) WLTH, (AHRQ) SC. Costs for Hospital Stays in the United States Rockville, MD2011.
Classen DC, Resar R, Griffin F, Federico F, Frankel T, Kimmel N, et al. ‘Global trigger tool’ shows that adverse events in hospitals may be ten times greater than previously measured. Health Aff (Millwood). 2011;30(4):581–9.
Moghissi ES, Korytkowski MT, DiNardo M, Einhorn D, Hellman R, Hirsch IB, et al. American Association of Clinical Endocrinologists and American Diabetes Association consensus statement on inpatient glycemic control. Endocr Pract. 2009;15(4):353–69.
Curkendall SM, Natoli JL, Alexander CM, Nathanson BH, Haidar T, Dubois RW. Economic and clinical impact of inpatient diabetic hypoglycemia. Endocr Pract. 2009;15(4):302–12.
Carey M, Boucai L, Zonszein J. Impact of hypoglycemia in hospitalized patients. Curr Diab Rep. 2013;13(1):107–13.
Brutsaert E, Carey M, Zonszein J. The clinical impact of inpatient hypoglycemia. J Diabetes Complicat. 2014;28(4):565–72.
Varghese P, Gleason V, Sorokin R, Senholzi C, Jabbour S, Gottlieb JE. Hypoglycemia in hospitalized patients treated with antihyperglycemic agents. J Hosp Med. 2007;2(4):234–40.
Michota F, Braithwaite SS. Avoiding complications in the hospitalized patient: the case for tight glycemic control. J Hosp Med. 2007;2(Suppl 1):1–4.
Dendy JA, Chockalingam V, Tirumalasetty NN, Dornelles A, Blonde L, Bolton PM, et al. Identifying risk factors for severe hypoglycemia in hospitalized patients with diabetes. Endocr Pract. 2014;20(10):1051–6.
American Diabetes Association. Glycemic targets. Sec 6. In Standards of Medical Care in Diabetes—2017. Diabetes Care. 2017;40(Suppl. 1):S48–56.
Seaquist ER, Anderson J, Childs B, Cryer P, Dagogo-Jack S, Fish L, et al. Hypoglycemia and diabetes: a report of a workgroup of the American Diabetes Association and the Endocrine Society. Diabetes Care. 2013;36(5):1384–95.
Cook CB, Elias B, Kongable GL, Potter DJ, Shepherd KM, McMahon D. Diabetes and hyperglycemia quality improvement efforts in hospitals in the United States: current status, practice variation, and barriers to implementation. Endocr Pract. 2010;16(2):219–30.
Goldberg PA, Bozzo JE, Thomas PG, Mesmer MM, Sakharova OV, Radford MJ, et al. “Glucometrics”—assessing the quality of inpatient glucose management. Diabetes Technol Ther. 2006;8(5):560–9.
Schnipper JL, Magee M, Larsen K, Inzucchi SE, Maynard G. Society of Hospital Medicine Glycemic Control Task Force summary: practical recommendations for assessing the impact of glycemic control efforts. J Hosp Med. 2008;3(5 Suppl):66–75.
Maynard GA, Childers D, Holdych J, Kendall H, Hoag T, Harrison K. Improving glycemic control safely in non-critical care patients: a collaborative systems approach in nine hospitals. Jt Comm J Qual Patient Saf. 2017;43(4):179–88.
• The Glycemic Control Implementation Guide: Improving glycemic control, preventing hypoglycemia and optimizing care of the inpatient with hyperglycemia and diabetes: Society of Hospital Medicine; 2015 [second:[Available from: http://tools.hospitalmedicine.org/resource_rooms/imp_guides/GC/GC_Workbook.pdf. This guide contains step by step instructions on how to implement quality improvement strategies to improve inpatient glycemic control and reduce hypoglycemia.
Boyd JC, Bruns DE. Quality specifications for glucose meters: assessment by simulation modeling of errors in insulin dose. Clin Chem. 2001;47(2):209–14.
Blood glucose monitoring test systems for prescription point-of-care use: guidance for industry and food and drug administration staff [Internet]. 2016.
Klonoff DC, Draznin B, Drincic A, Dungan K, Gianchandani R, Inzucchi SE, et al. PRIDE statement on the need for a moratorium on the CMS plan to cite hospitals for performing point-of-care capillary blood glucose monitoring on critically ill patients. J Clin Endocrinol Metab. 2015;100(10):3607–12.
Gomez AM, Umpierrez GE, Munoz OM, Herrera F, Rubio C, Aschner P, et al. Continuous glucose monitoring versus capillary point-of-care testing for inpatient glycemic control in type 2 diabetes patients hospitalized in the general ward and treated with a basal bolus insulin regimen. J Diabetes Sci Technol. 2015;10(2):325–9.
Aloi J, Bode BW, Ullal J, Chidester P, McFarland RS, Bedingfield AE, et al. Comparison of an electronic glycemic management system versus provider-managed subcutaneous basal bolus insulin therapy in the hospital setting. J Diabetes Sci Technol. 2016;
CMS/The Joint Commission. NQF-endorsed voluntary consensus standards for hospital care. Surgical care improvement project. 2014.
Maynard G, Schnipper JL, Messler J, Ramos P, Kulasa K, Nolan A, et al. Design and implementation of a web-based reporting and benchmarking center for inpatient glucometrics. J Diabetes Sci Technol. 2014;8(4):630–40.
Department of Health and Human Services. National Action Plan for Adverse Drug Event Prevention. 2014. [Available from: www.health.gov/hai/ pdfs/ADE-Action-Plan-508c.pdf.
Centers for Medicare and Medicaid Services CMS Special Innovation Project: Maintenance and Development of Medication Measures. 2013 [Available from: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/MMS/Downloads/FMQAI-Glycemic-Control-Measures-Public-Comment.pdf.
Maynard G, Kulasa K, Ramos P, Childers D, Clay B, Sebasky M, et al. Impact of a hypoglycemia reduction bundle and a systems approach to inpatient glycemic management. Endocr Pract. 2015;21(4):355–67.
Sinha Gregory N, Seley JJ, Gerber LM, Tang C, Brillon D. Decreased rates of hypoglycemia following implementation of a comprehensive computerized insulin order set and titration algorithm in the inpatient setting. Hosp Pract (1995). 2016;44(5):260–5.
Fischer KF, Lees JA, Newman JH. Hypoglycemia in hospitalized patients. Causes and outcomes. N Engl J Med. 1986;315(20):1245–50.
Matyka K, Evans M, Lomas J, Cranston I, Macdonald I, Amiel SA. Altered hierarchy of protective responses against severe hypoglycemia in normal aging in healthy men. Diabetes Care. 1997;20(2):135–41.
Moen MF, Zhan M, Hsu VD, Walker LD, Einhorn LM, Seliger SL, et al. Frequency of hypoglycemia and its significance in chronic kidney disease. Clin J Am Soc Nephrol. 2009;4(6):1121–7.
Gianchandani RY, Neupane S, Iyengar JJ, Heung M. Pathophysiology and management of hypoglycemia in end stage renal disease patients—a review. Endocr Pract. 2016;
Arem R. Hypoglycemia associated with renal failure. Endocrinol Metab Clin N Am. 1989;18(1):103–21.
Mak RH. Impact of end-stage renal disease and dialysis on glycemic control. Semin Dial. 2000;13(1):4–8.
Kovesdy CP, Park JC, Kalantar-Zadeh K. Glycemic control and burnt-out diabetes in ESRD. Semin Dial. 2010;23(2):148–56.
Hellman R. A systems approach to reducing errors in insulin therapy in the inpatient setting. Endocr Pract. 2004;10(Suppl 2):100–8.
Elliott MB, Schafers SJ, McGill JB, Tobin GS. Prediction and prevention of treatment-related inpatient hypoglycemia. J Diabetes Sci Technol. 2012;6(2):302–9.
Farrokhi F, Klindukhova O, Chandra P, Peng L, Smiley D, Newton C, et al. Risk factors for inpatient hypoglycemia during subcutaneous insulin therapy in non-critically ill patients with type 2 diabetes. J Diabetes Sci Technol. 2012;6(5):1022–9.
Maynard G, Lee J, Phillips G, Fink E, Renvall M. Improved inpatient use of basal insulin, reduced hypoglycemia, and improved glycemic control: effect of structured subcutaneous insulin orders and an insulin management algorithm. J Hosp Med. 2009;4(1):3–15.
•• Cobaugh DJ, Maynard G, Cooper L, Kienle PC, Vigersky R, Childers D, et al. Enhancing insulin-use safety in hospitals: practical recommendations from an ASHP Foundation expert consensus panel. Am J Health Syst Pharm. 2013;70(16):1404–13. This consensus paper provides practical recommendations to help ensure safe insulin use in hospitalized patients and minimize hypoglycemia.
Rubin DJ, Rybin D, Doros G, McDonnell ME. Weight-based, insulin dose-related hypoglycemia in hospitalized patients with diabetes. Diabetes Care. 2011;34(8):1723–8.
Schafers S, Naunheim R, Vijayan A, Tobin G. Incidence of hypoglycemia following insulin-based acute stabilization of hyperkalemia treatment. J Hosp Med. 2012;7(3):239–42.
Curll M, Dinardo M, Noschese M, Korytkowski MT. Menu selection, glycaemic control and satisfaction with standard and patient-controlled consistent carbohydrate meal plans in hospitalised patients with diabetes. Qual Saf Health Care. 2010;19(4):355–9.
Boucher JL, Swift CS, Franz MJ, Kulkarni K, Schafer RG, Pritchett E, et al. Inpatient management of diabetes and hyperglycemia: implications for nutrition practice and the food and nutrition professional. J Am Diet Assoc. 2007;107(1):105–11.
Swift C. Nutrition therapy for the hospitalized and long-term care patient with diabetes. In: Franz M, Evert, A, editor. American Diabetes Association Guide to Nutrition Therapy for Diabetes. 2nd ed. Alexandria 2012. p. 229–45.
Ojo O, Brooke J. Evaluation of the role of enteral nutrition in managing patients with diabetes: a systematic review. Nutrients. 2014;6(11):5142–52.
Umpierrez GE, Hellman R, Korytkowski MT, Kosiborod M, Maynard GA, Montori VM, et al. Management of hyperglycemia in hospitalized patients in non-critical care setting: an endocrine society clinical practice guideline. J Clin Endocrinol Metab. 2012;97(1):16–38.
Ryan DB, Swift CS. The mealtime challenge: nutrition and glycemic control in the hospital. Diabetes Spectr. 2014;27(3):163–8.
Engle M, Ferguson A, Fields W. A journey to improved inpatient glycemic control by redesigning meal delivery and insulin administration. Clin Nurse Spec. 2016;30(2):117–24.
Institute for Safe Medication Practices. Acute care guidelines for timely administration of scheduled medication. 2011. Available from: http://www.ismp.org/tools/guidelines/acutecare/tasm.pdf.
Kilpatrick CR, Elliott MB, Pratt E, Schafers SJ, Blackburn MC, Heard K, et al. Prevention of inpatient hypoglycemia with a real-time informatics alert. J Hosp Med. 2014;9(10):621–6.
Flory JH, Aleman JO, Furst J, Seley JJ. Basal insulin use in the non-critical care setting: is fasting hypoglycemia inevitable or preventable? J Diabetes Sci Technol. 2014;8(2):427–8.
Mathioudakis N, Everett E, Golden SH. Prevention and management of insulin-associated hypoglycemia in hospitalized patients. Endocr Pract. 2016;22(8):959–69.
HK GSJ, Lipska KJ, Je B, Lin Z, Inzucchi SE. Blood glucose trends and prediction of severe hypoglycemia in hospitalized patients. San Diego: American Diabetes Association; 2011.
Lee SY, Askin G, McDonnell ME, Arnold LM, Alexanian SM. Hypoglycemia rates after restriction of high-dose glargine in hospitalized patients. Endocr Pract. 2016;22(12):1393–400.
Maynard G, Stein J. Designing and implementing effective venous thromboembolism prevention protocols: lessons from collaborative efforts. J Thromb Thrombolysis. 2010;29(2):159–66.
Maynard GA, Morris TA, Jenkins IH, Stone S, Lee J, Renvall M, et al. Optimizing prevention of hospital-acquired venous thromboembolism (VTE): prospective validation of a VTE risk assessment model. J Hosp Med. 2010;5(1):10–8.
Maynard G, Stein J. Preventing hospital-acquired venous thromboembolism: a guide for effective quality improvement Rockville 2008 Available from: http://www.ahrg.gov/qual/veguide/.
Mendez CE, Ata A, Rourke JM, Stain SC, Umpierrez G. Daily inpatient glycemic survey (dings): a process to remotely identify and assist in the management of hospitalized patients with diabetes and hyperglycemia. Endocr Pract. 2015;21(8):927–35.
Rushakoff R, Sullivan M, MacMaster H, editors. The virtual inpatient glucose management service: improving glucose control and decreasing therapeutic inertia. San Francisco: The American Diabetes Association Scientific Sessions; 2014.
Chapman JL, Lucas R, Lee J, Grimes SS, Porter AM, Bussey A. Implementation of inpatient blood glucose monitoring by clinical pharmacists. Am J Health Syst Pharm. 2013;70(17):1480–1.
Coats A, Marshall D. Inpatient hypoglycaemia: a study of nursing management. Nurs Prax N Z. 2013;29(2):15–24.
Maynard G, Huynh M, Renvall M. Iatrogenic inpatient hypoglycemia: risk factors, treatment, and prevention analysis of current practice at an academic medical center with implications for improvement efforts. Diabetes Spectr. 2008;21(4):241–7.
Se SF, Tucker K. Hypoglycemia prevention: an innovative approach. Nursing. 2015;45(6):19–22.
De Alwis DT, Varadarajan S, Lim K. Notifying a doctor of a first hypoglycaemic episode is associated with a lower rate of recurrence among inpatients with diabetes. Med J Aust. 2014;200(2):79.
Ellis R. Hypoglycaemia monitoring in a medical receiving ward. BMJ Qual Improv Rep. 2015;4(1)
MacEwen AW, Carty DM, McConnachie A, McKay GA, Boyle JG. A “diabetes acute care day” for medical students increases their knowledge and confidence of diabetes care: a pilot study. BMC Med Educ. 2016;16:88.
Tamler R, Dunn AS, Green DE, Skamagas M, Breen TL, Looker HC, et al. Effect of online diabetes training for hospitalists on inpatient glycaemia. Diabet Med. 2013;30(8):994–8.
Tamler R, Green DE, Skamagas M, Breen TL, Lu K, Looker HC, et al. Durability of the effect of online diabetes training for medical residents on knowledge, confidence, and inpatient glycemia. J Diabetes. 2012;4(3):281–90.
Tamler R, Green DE, Skamagas M, Breen TL, Looker HC, LeRoith D. Effect of case-based training for medical residents on confidence, knowledge, and management of inpatient glycemia. Postgrad Med. 2011;123(4):99–106.
Wesorick DH, Grunawalt J, Kuhn L, Rogers MA, Gianchandani R. Effects of an educational program and a standardized insulin order form on glycemic outcomes in non-critically ill hospitalized patients. J Hosp Med. 2010;5(8):438–45.
Selig PM, Popek V, Peebles KM. Minimizing hypoglycemia in the wake of a tight glycemic control protocol in hospitalized patients. J Nurs Care Qual. 2010;25(3):255–60.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
Kristen Kulasa reports previously being a paid mentor for the Society of Hospital Medicine. Patricia Juang declares that she has no conflict of interest.
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
Additional information
This article is part of the Topical Collection on Hospital Management of Diabetes
Rights and permissions
About this article
Cite this article
Kulasa, K., Juang, P. How Low Can You Go? Reducing Rates of Hypoglycemia in the Non-critical Care Hospital Setting. Curr Diab Rep 17, 74 (2017). https://doi.org/10.1007/s11892-017-0902-3
Published:
DOI: https://doi.org/10.1007/s11892-017-0902-3