Reducing hospital inpatient length of stay for patients with diabetes

Impact of diabetes specialist nurses on inpatient care: A systematic review

BACKGROUND

People with diabetes have longer hospital stays and poorer clinical outcomes. Diabetes inpatient specialist nurses have been introduced to improve care.

AIMS

To assess the evidence for the benefit of diabetes specialist nurses in the inpatient setting.

METHODS

A systematic search of MEDLINE (ovid), Embase (ovid), CINAHL (EBSCO) and Web of Science core collection from January 1998 to September 2019 was performed using key terms for diabetes specialist nurses and hospital setting. Studies measuring patient care using any standardised or validated outcome measures after introduction of a dedicated diabetes specialist nurse or nursing team were eligible for inclusion and findings reported by narrative synthesis.

RESULTS

There were 10 studies which met the inclusion criteria. One was a randomised controlled study and the remaining nine studies were before and after studies with three of them using a time series analysis methodology. The majority reported length of stay (LOS) and showed a reduction in median LOS by between 0.5 and 3 days. Reductions in bed occupancy ranged from 39% to 47%. There was a paucity of evidence for outcomes related to patient care with some measures limited to single studies. These included a 52% reduction in total drug errors, improved patient knowledge, higher patient satisfaction and improved glycaemic control post-discharge. There was no reduction of mortality observed.

CONCLUSIONS

These studies suggest a reduction in LOS and improved clinical care for patients with diabetes after the introduction of diabetes inpatient specialist nurses. Future research should examine a range of benefits associated with diabetes inpatient specialist nurse delivered services, including reduction of inpatient complications such as infections and cardiovascular events.

Does the Diabetes Specialist Nursing workforce impact the experiences and outcomes of people with diabetes? A hermeneutic review of the evidence

OBJECTIVES

The aim of the hermeneutic review was to identify and clarify the mechanisms by which the Diabetes Specialist Nursing workforce affect the outcomes of diabetes patients, with a focus on those in the United Kingdom. A clarification of diabetes specialist nurses' work is necessary in understanding and improving diabetes inpatient care.

DESIGN

The design is a hermeneutic evidence review and was part of a wider evaluation of Diabetes Inpatient Specialist Nurses for which the evidence was sourced. The literature search was limited to specialist nursing workforce caring for adults with diabetes. In order to gain global understanding of the impact of specialist nursing in diabetes, worldwide literature was included.

METHODS

A hermeneutic literature review of 45 publications was carried out, which included citation analysis. Relevant literature was identified from 1990 to 2018.

RESULTS

Evidence suggests that Diabetes Specialist Nurses educate patients and other healthcare professionals as well as delivering direct care. The outcomes of these actions include a reduced patient length of stay in hospital, reduced inpatient harms and complications, and improved patient satisfaction. Additionally, they are cost-effective.

CONCLUSIONS

The Diabetes Specialist Nursing workforce is essential in diabetes care, particularly in hospital settings. They improve patient experience and outcomes.

Hospital nurse-staffing models and patient- and staff-related outcomes

BACKGROUND

Nurses comprise the largest component of the health workforce worldwide and numerous models of workforce allocation and profile have been implemented. These include changes in skill mix, grade mix or qualification mix, staff-allocation models, staffing levels, nursing shifts, or nurses' work patterns. This is the first update of our review published in 2011.

OBJECTIVES

The purpose of this review was to explore the effect of hospital nurse-staffing models on patient and staff-related outcomes in the hospital setting, specifically to identify which staffing model(s) are associated with: 1) better outcomes for patients, 2) better staff-related outcomes, and, 3) the impact of staffing model(s) on cost outcomes.

SEARCH METHODS

CENTRAL, MEDLINE, Embase, two other databases and two trials registers were searched on 22 March 2018 together with reference checking, citation searching and contact with study authors to identify additional studies.

SELECTION CRITERIA

We included randomised trials, non-randomised trials, controlled before-after studies and interrupted-time-series or repeated-measures studies of interventions relating to hospital nurse-staffing models. Participants were patients and nursing staff working in hospital settings. We included any objective reported measure of patient-, staff-related, or economic outcome. The most important outcomes included in this review were: nursing-staff turnover, patient mortality, patient readmissions, patient attendances at the emergency department (ED), length of stay, patients with pressure ulcers, and costs.

DATA COLLECTION AND ANALYSIS

We worked independently in pairs to extract data from each potentially relevant study and to assess risk of bias and the certainty of the evidence.

MAIN RESULTS

We included 19 studies, 17 of which were included in the analysis and eight of which we identified for this update. We identified four types of interventions relating to hospital nurse-staffing models:- introduction of advanced or specialist nurses to the nursing workforce;- introduction of nursing assistive personnel to the hospital workforce;- primary nursing; and- staffing models.The studies were conducted in the USA, the Netherlands, UK, Australia, and Canada and included patients with cancer, asthma, diabetes and chronic illness, on medical, acute care, intensive care and long-stay psychiatric units. The risk of bias across studies was high, with limitations mainly related to blinding of patients and personnel, allocation concealment, sequence generation, and blinding of outcome assessment.The addition of advanced or specialist nurses to hospital nurse staffing may lead to little or no difference in patient mortality (3 studies, 1358 participants). It is uncertain whether this intervention reduces patient readmissions (7 studies, 2995 participants), patient attendances at the ED (6 studies, 2274 participants), length of stay (3 studies, 907 participants), number of patients with pressure ulcers (1 study, 753 participants), or costs (3 studies, 617 participants), as we assessed the evidence for these outcomes as being of very low certainty. It is uncertain whether adding nursing assistive personnel to the hospital workforce reduces costs (1 study, 6769 participants), as we assessed the evidence for this outcome to be of very low certainty. It is uncertain whether primary nursing (3 studies, > 464 participants) or staffing models (1 study, 647 participants) reduces nursing-staff turnover, or if primary nursing (2 studies, > 138 participants) reduces costs, as we assessed the evidence for these outcomes to be of very low certainty.

AUTHORS' CONCLUSIONS

The findings of this review should be treated with caution due to the limited amount and quality of the published research that was included. We have most confidence in our finding that the introduction of advanced or specialist nurses may lead to little or no difference in one patient outcome (i.e. mortality) with greater uncertainty about other patient outcomes (i.e. readmissions, ED attendance, length of stay and pressure ulcer rates). The evidence is of insufficient certainty to draw conclusions about the effectiveness of other types of interventions, including new nurse-staffing models and introduction of nursing assistive personnel, on patient, staff and cost outcomes. Although it has been seven years since the original review was published, the certainty of the evidence about hospital nurse staffing still remains very low.

Geospatial, Clinical, and Social Determinants of Hospital Readmissions

Unnecessary hospital readmissions increase patient burden, decrease health care quality and efficiency, and raise overall costs. This retrospective cohort study sought to identify high-risk patients who may serve as targets for interventions aiming at reducing hospital readmissions. The authors compared geospatial, social demographic, and clinical characteristics of patients with or without a 90-day readmission. Electronic health records of 42 330 adult patients admitted to 2 Midwestern hospitals during 2013 to 2016 were used, and logistic regression was performed to determine risk factors for readmission. The 90-day readmission percentage was 14.9%. Two main groups of patients with significantly higher odds of a 90-day readmission included those with severe conditions, particularly those with a short length of stay at incident admission, and patients with Medicare but younger than age 65. These findings expand knowledge of potential risk factors related to readmissions. Future interventions to reduce hospital readmissions may focus on the aforementioned high-risk patient groups.

Does diabetes mellitus comorbidity affect in-hospital mortality and length of stay? Analysis of administrative data in an Italian Academic Hospital

AIMS

Hospitalized patients with comorbid diabetes mellitus may have worse outcomes than the others. We conducted a study to assess whether comorbid diabetes affects in-hospital mortality and length of stay.

METHODS

For this population-based study, we analyzed the administrative databases of the Regional Health Information System of the Region Friuli Venezia Giulia, where the Hospital of Udine is located. Hospital discharge data were linked at the individual patient level with the regional Diabetes Mellitus Registry to identify diabetic patients. For each 3-digit ICD-9-CM discharge diagnosis code, we assessed the difference in length of stay and in-hospital mortality between diabetic and non-diabetic patients. We conducted both univariate and multivariate analyses, adjusted for age, sex, Charlson's comorbidity score, and urgency of hospitalization, through linear and logistic regression models.

RESULTS

After adjusting for potential confounders, diabetes significantly increased the risk of in-hospital death among patients hospitalized for bacterial pneumonia (OR = 1.94) and intestinal obstruction (OR = 4.23) and length of stay among those admitted for several diagnoses, including acute myocardial infarction and acute renal failure. Admission glucose blood level was associated with in-hospital death in patients with pneumonia and intestinal obstruction, and increased length of stay for several conditions.

CONCLUSIONS

Patients with diabetes mellitus who are hospitalized for other health problems may have increased risk of in-hospital death and longer hospital stay. For this reason, diabetes should be promptly recognized upon admission and properly managed.

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.

Use of a Publicly Available Database to Determine the Impact of Diabetes on Length of Hospital Stay for Elective Orthopedic Procedures in California

In California, 1 in 3 hospital beds are occupied by adults with diabetes. The aim of this study was to examine whether diabetes impacts length of stay (LOS) following common elective orthopedic procedures compared to nondiabetic individuals, and also the performance of hospitals across California for these procedures. Using the Public Use California Patient Discharge Data Files for 2010-2012, the authors examined LOS for elective discharges for hip, spine, or knee surgery (n = 318,861) from the total population of all discharges (n = 11,476,073) for 309 hospitals across California. In all, 16% of discharges had a codiagnosis of diabetes. Unadjusted average LOS was 3.11 days without and 3.40 days with diabetes (mean difference 0.29 [95% confidence interval (0.27, 0.31) days, P < 0.01]). After adjusting for covariates, diabetes no longer resulted in a significant difference in LOS. However, the presence of common comorbidities did significantly impact LOS. Average LOS for patients with diabetes also varied widely by hospital, ranging between -50% and +100% of the mean LOS for all hospitals. Diabetes does not prolong LOS after orthopedic procedures unless comorbidities are present. Nevertheless, across California there is significant variation in LOS between individual hospitals, which may inform the decision-making process for prospective patients and payers.

The economic burden of inpatients with type 2 diabetes: a case study in a Chinese hospital

The purpose of this research was to study the components, influencing factors, and their changing trend in a Chinese hospital, so as to reduce the economic burden of inpatients with type 2 diabetes. Data were collected from 7487 cases. There were 4368 inpatients with type 2 diabetes during 2002-2012 in a Chinese hospital. Multivariate linear regression analysis was performed to explore the influencing factors of hospitalization costs. The number of inpatients and their hospitalization costs had increasing trends in the study period. The medicine, test, and examination charges were the main sources of total costs. Longer hospital stays, older ages, and more times of hospitalization led to higher medical costs. Actions should be taken on all fronts to control the rapidly increasing trend of hospitalization costs and to reduce hospital stays and the number of times of hospitalization to reduce the economic burden of diabetic inpatients.

Hospital stay on acute care units for non-acute reasons: Effects of patient pre-hospitalization and admission factors

This study identifies patient risk factors present prior to an acute hospitalization that are associated with occupying acute care beds for non-acute reasons on the 30^th day of a hospitalization. Data from 952 adult patients were obtained, among which 333 (35%) were evaluated as non-acute on their 30^th day. Inability to move in and out of the bed, cognitive impairment, receiving home or community healthcare services prior to hospitalization, unavailable family resources, a secondary diagnosis within the mental and behavioural category, and age ≥75 years were found to increase the risk of occupying acute care beds for non-acute reasons, while patients with a feeding tube were less likely to be non-acute at day 30.

Inpatient management of diabetes in adults: safety and good practice

Patients with diabetes typically occupy 15–20% of all inpatient hospital beds at any one time. The hospital physician therefore requires a good understanding of the safe and effective management of such patients in both the emergency and ward setting.

Substantial reductions in the number of diabetic ketoacidosis and severe hypoglycaemia episodes requiring emergency treatment lead to reduced costs after structured education in adults with Type 1 diabetes

AIMS

To determine the impact of structured education promoting flexible intensive insulin therapy on rates of diabetic ketoacidosis, and the costs associated with emergency treatment for severe hypoglycaemia and ketoacidosis in adults with Type 1 diabetes.

METHODS

Using the Dose Adjustment For Normal Eating research database we compared the rates of ketoacidosis and severe hypoglycaemia during the 12 months preceding Dose Adjustment For Normal Eating training with the rates during the 12-month follow-up after this training. Emergency treatment costs were calculated for associated paramedic assistance, Accident and Emergency department attendance and hospital admissions.

RESULTS

Complete baseline and 1-year data were available for 939/1651 participants (57%). The risk of ketoacidosis in the 12 months after Dose Adjustment For Normal Eating training, compared with that before training, was 0.39 (95% CI: 0.23 to 0.65, P < 0.001), reduced from 0.07 to 0.03 episodes/patient/year. For every 1 mmol/mol unit increase in HbA1c concentration, the risk of a ketoacidosis episode increased by 6% (95% CI: 5 to 7%; 88% for a 1% increase), and for each 5-year increase in diabetes duration, the relative risk reduced by 20% (95% CI: 19 to 22%). The number of emergency treatments decreased for ketoacidosis (P < 0.001), and also for severe hypoglycaemia, including paramedic assistance (P < 0.001), Accident and Emergency department attendance (P = 0.029) and hospital admission (P = 0.001). In the study cohort, the combined cost of emergency treatment for ketoacidosis and severe hypoglycaemia fell by 64%, from £119,470 to £42,948.

CONCLUSIONS

Structured training in flexible intensive insulin therapy is associated with a 61% reduction in the risk of ketoacidosis and with 64% lower emergency treatment costs for ketoacidosis and severe hypoglycaemia.

Management of raised glucose, a clinical decision tool to reduce length of stay of patients with hyperglycaemia

OBJECTIVE

To assess whether the introduction of a management of raised glucose clinical decision tool could improve assessment of patients with hyperglycaemia by non-specialist physicians, leading to early discharge and improved quality of inpatient care.

METHODS

Participants were adults aged 18 years or over presenting to the Medical Assessment Unit with a capillary blood glucose level > 11.1 mmol/l. Phase 1 of the study (phase 1) evaluated current clinical practice and potential impact of the clinical decision tool. Phase 2 evaluated the effectiveness of the management of raised glucose tool in clinical practice. Primary outcome measures were inpatient length of stay and same-calendar-day discharges. Secondary outcome measures were diabetes specialist input, patient assessment, intravenous insulin infusion use and patient satisfaction.

RESULTS

Implementation of the management of raised glucose clinical decision tool allowed safe, same-calendar-day discharges of 40% of patients with hyperglycaemia as their primary reason for attendance. Median length of stay was lower in the phase 1 than in phase 2 (1.0 vs. 3.5 days, P < 0.01). Early discharge did not result in an increase in readmissions. There was improvement in hyperglycaemia assessment for all patients (P < 0.01), a reduction in the use of intravenous insulin infusions (P < 0.01) and high level of patient satisfaction.

CONCLUSION

The management of raised glucose clinical decision tool resulted in a significant increase in the number of same-calendar-day discharges and reduction in hospital length of stay without adverse impact on readmission rates. Additionally, the tool was associated with improvements in inpatient diabetes care and patient satisfaction.

The role of the care model in modifying prognosis in diabetes

Organizational factors in diabetes care can influence long- and medium-term outcomes, affecting the prognosis to the same extent as new therapies. A growing body of evidence supports the hypothesis that diabetes team consultation can favorably impact on hospital utilization, the costliest item in diabetes management, as well as on hospitalization rates, inpatient hospital length of stay, and re-admission rates. Moreover, the model of diabetes care has been reported to influence guidelines adherence, an additional factor linked to the variability in the quality of diabetes care. The strongest predictor and effect modifier of the quality of diabetes care is specialist referral. Compared to patients seen in primary care or other settings, those visiting a diabetes center are more likely to be monitored according to guidelines, regardless of the severity-of-disease effect, and to receive structured education, as well as more aggressive treatment when needed. Finally, at least eight published studies suggest that when continuity of care is shared with diabetes clinics, all-cause mortality and major cardiovascular events are both reduced. The sharing of care pathways between primary care providers and diabetes teams is likely to be the best and most affordable solution in the complex management of this chronic condition.

NHS Diabetes guideline for the perioperative management of the adult patient with diabetes

These Joint British Diabetes Societies guidelines, commissioned by NHS Diabetes, for the perioperative management of the adult patient undergoing surgery are available in full in the Supporting Information. This document goes through the seven stages of the patient journey when having surgery. These are: primary care referral; surgical outpatients; preoperative assessment; hospital admission; surgery; post-operative care; discharge. Each stage is given its own considerations, outlining the roles and responsibilities of each group of healthcare professionals. The evidence base for the recommendations made at each stage, discussion of controversial areas and references are provided in the report. This document has two key recommendations. Firstly, that the management of the elective adult surgery patients should be with modification to their usual diabetes treatment if the fasting is minimized because the routine use of a variable rate intravenous insulin infusion is not recommended. Secondly, that poor preoperative glycaemic control leads to post-outcomes and thus, where appropriate, needs to be addressed prior to referral for surgery.

Treatment of diabetic foot ulcers in the home: video consultations as an alternative to outpatient hospital care

The aim of this study was to investigate whether video consultations in the home can support a viable alternative to visits to the hospital outpatient clinic for patients with diabetic foot ulcers. And furthermore whether patients, relatives, visiting nurses, and experts at the hospital will experience satisfaction and increased confidence with this new course of treatment. Participatory design methods were applied as well as field observations, semistructured interviews, focus groups, and qualitative analysis of transcriptions of telemedical consultations conducted during a pilot test. This study shows that it is possible for experts at the hospital to conduct clinical examinations and decision making at a distance, in close cooperation with the visiting nurse and the patient. The visiting nurse experienced increased confidence with the treatment of the foot ulcer and characterized the consultations as a learning situation. All patients expressed satisfaction and felt confidence with this new way of working.

Joint British Diabetes Societies guideline for the management of diabetic ketoacidosis

The Joint British Diabetes Societies guidelines for the management of diabetic ketoacidosis (these do not cover Hyperosmolar Hyperglycaemic Syndrome) are available in full at: (i) http://www.diabetes.org.uk/About_us/Our_Views/Care_recommendations/The-Management-of-Diabetic-Ketoacidosis-in-Adults; (ii)  http://www.diabetes.nhs.uk/publications_and_resources/reports_and_guidance; (iii) http://www.diabetologists-abcd.org.uk/JBDS_DKA_Management.pdf. This article summarizes the main changes from previous guidelines and discusses the rationale for the new recommendations. The key points are: Monitoring of the response to treatment (i) The method of choice for monitoring the response to treatment is bedside measurement of capillary blood ketones using a ketone meter. (ii) If blood ketone measurement is not available, venous pH and bicarbonate should be used in conjunction with bedside blood glucose monitoring to assess treatment response. (iii) Venous blood should be used rather than arterial (unless respiratory problems dictate otherwise) in blood gas analysers. (iv) Intermittent laboratory confirmation of pH, bicarbonate and electrolytes only. Insulin administration (i) Insulin should be infused intravenously at a weight-based fixed rate until the ketosis has resolved. (ii) When the blood glucose falls below 14 mmol/l, 10% glucose should be added to allow the fixed-rate insulin to be continued. (iii) If already taking, long-acting insulin analogues such as insulin glargine (Lantus(®), Sanofi Aventis, Guildford, Surry, UK) or insulin detemir (Levemir(®), Novo Nordisk, Crawley, West Sussex, UK.) should be continued in usual doses. Delivery of care (i) The diabetes specialist team should be involved as soon as possible. (ii) Patients should be nursed in areas where staff are experienced in the management of ketoacidosis.

Diabetes management of elective hospital admissions

AIMS

At any given time, people with diabetes occupy approximately 10-20% of acute hospital beds. In addition, diabetes is associated with a greater length of stay. Patients undergoing elective procedures occupy approximately 50% of hospital beds. The aim of this 12-month project was to improve the quality of diabetes care for elective inpatients. The primary outcome measure was length of stay.

METHODS

A team was established to improve the quality of care and reduce the length of stay of all patients admitted electively with diabetes. Specific areas of focus were surgical pre-assessment, planning the admission, post-operative care and planning a safe discharge. A retrospective audit of all elective patients with a coded diagnosis of diabetes admitted between June 2008 and June 2009 was performed.

RESULTS

Comparing the year of the project with the preceding year day-case rates for patients with diabetes increased by 34.8% for diabetes vs. 13.7% for the total hospital population (P for difference=0.048). There was a significant fall in diabetes length of stay of 0.34 days comparing 2008 and 2009 (P=0.040). Over the same period, we have shown a smaller reduction in length of stay for all other admissions of 0.08 days (p=0.039).

CONCLUSION

A team specifically employed to focus on elective inpatient diabetes care have a significant impact on length of stay of this patient group with potential cost savings.

The effectiveness of a hospital diabetes outreach service in supporting care for acutely admitted patients with diabetes

BACKGROUND

Patients with diabetes have increased frequency of hospital admissions and longer lengths of stay compared to patients without diabetes. Our specialist diabetes inpatient service was reconfigured to deliver a proactive diabetes outreach service to improve the overall care of this population.

AIMS

To ascertain the effect of a structured diabetes outreach service to acutely admitted patients with diabetes on avoidable admissions, delayed discharges and appropriate diabetes related follow-up plans.

METHODS

Audits were carried out before and 4 months after the introduction of a diabetes outreach service. The proportion of patients under care of the diabetes team, avoidable admissions, delayed discharges and existence of effective follow-up plans were compared pre- and post-implementation of this outreach service.

RESULTS

The number of inpatients with diabetes fell by 35% (83 on a typical day pre-outreach vs. 53 post-outreach) despite a similar number of total medical admissions in that month (1449 vs.1459). This was due to a reduction in those admitted with diabetes related (13 vs. 5) and general medical (29 vs. 10) problems whilst numbers requiring other specialist care (41 vs. 39) remained unchanged. The proportion of patients under the care of diabetes team rose (23% vs. 73%) while those with avoidable admissions (18% vs. 7%), delayed discharges (17% vs. 2%) and inappropriate discharge plans (65% vs. 11%) all fell.

CONCLUSION

This reformatted service was associated with a marked improvement in a number of parameters relevant to inpatient care.

Diabetes care in hospital--the impact of a dedicated inpatient care team

AIMS

At any given time, people with diabetes occupy approximately 5-10% of acute hospital beds. In addition, diabetes is associated with a greater length of stay (LOS). This is partially because of increased complexity of the cases but also because of unfamiliarity of dealing with the condition by other specialist teams.

METHODS

In 2002, with increasing pressure on acute hospital beds, a team was established to improve the care of inpatients with diabetes admitted to Derriford Hospital. The team consisted of five diabetes specialist nurses dedicated to inpatient care, supported by a consultant and specialist registrar diabetologist. A link nurse responsible for diabetes was appointed on every ward and each individual with a diagnosis of diabetes was identified on admission. We have compared LOS of all patients with diabetes admitted between January 2002 and December 2006.

RESULTS

LOS fell from a mean +/- se of 8.3 +/- 0.18 days in 2002 to 7.7 +/- 0.10 days in 2006 (P = 0.002). Significant falls were seen for emergency admissions (9.7 +/- 0.23 vs. 9.2 +/- 0.20, P < 0.001) but not elective admissions. The data show significant reductions in LOS for medical admissions (9.2 +/- 0.24 vs. 8.4 +/- 0.20, P < 0.001) but not surgical admissions. Over the same period, LOS for the total hospital population fell by 0.3 days (P < 0.001).

CONCLUSION

In conclusion, a team specifically employed to focus on inpatient diabetes care has a significant impact on LOS of this patient group.

Diabetes team consultation: impact on length of stay of diabetic patients admitted to a short-stay unit

OBJECTIVE

To assess the impact of endocrinology team consultation on hospital stay and clinical outcomes of diabetic patients admitted with a primary non-diabetes-related diagnosis in a short stay unit (SSU).

METHODS

Patients admitted to the SSU between 2001 and 2005. Between 2001 and 2003 there was no endocrinology team consultation available and the management of hyperglycemia was handled by the SSU team alone. From 2003 until 2005 an endocrinology team was in charge of diabetes care. We compared in both periods: prevalence of diabetes, length of hospital stay, mortality, early readmissions and number of patients requiring conventional hospitalization.

RESULTS

In period 2001-2003, 1023 patients were admitted, among which 212 were diabetic (20.7%). Over the years 2003-2005, 892 patients were hospitalized, 223 were diabetic (25%). Clinical characteristics of diabetic patients from both periods were comparable, but glycaemia at admission was higher on the second period (217 mg/dl versus 198 mg/dl). The length of stay of diabetic patients in the second period decreased from 5.49 to 4.90 days. There were no significant differences in mortality (1.4% versus 0.4%) or in early re-admissions among the two periods.

CONCLUSIONS

The intervention of a diabetes team diminished the average length of stay of diabetic patients.

Total and excess bed occupancy by age, specialty and insulin use for nearly one million diabetes patients discharged from all English Acute Hospitals

To investigate total diabetes bed occupancy and prolonged inpatient length of stay (LOS) in all English Acute Hospitals, we analysed hospital episode statistics (HES) discharge data for all English Acute Hospitals over 4 years for ICD10 discharge codes of E10 ('insulin-dependent diabetes') or E11 ('non-insulin dependent diabetes') by age-band (18-60, 61-75 and >75 years) and specialties. We matched these data to control discharges without these codes. There were 943,613 diabetes discharges (6,508,668 bed days) and 10,724,414 matched controls. Mean diabetes LOS increased with age for each specialty and both E10 and E11 codes, but excess diabetes LOS decreased with age. Excess diabetes LOS was <1.0 days in most groups and highest (1.2 days) in insulin-dependent surgical patients under 60 years old, where 19.7% of bed days were excess. A similar pattern was seen for 76,570 diabetes inpatients with key cardiac or surgical conditions. Excess bed occupancy due to prolonged mean LOS accounted for 325,033 bed days under general medical and surgical codes. There were 25,525 discharges with diabetic ketoacidosis (126,495 bed days) in these 4 years. Excess diabetes LOS is concentrated in younger age groups. Excess bed occupancy due to prolonged LOS in medical and surgical inpatients is three times greater than bed occupancy due to diabetic ketoacidosis. Strategies to reduce excess diabetes bed occupancy should emphasize reducing inpatient LOS in younger inpatients.

A national survey of in-patient diabetes services in the United Kingdom

AIM

To examine in-patient diabetes services in all UK acute hospitals.

METHODS

We asked the diabetes specialist team in all UK acute hospitals to complete a structured questionnaire on in-patient diabetes management guidelines, in-patient referral patterns, diabetes in-patient specialist nurse (DISN) services and diabetes bed occupancy in their hospital.

RESULTS

Of the 262 UK acute hospitals, 239 (91.2%) provided data (2005-2006). UK teams reported high levels of clinical risk associated with in-patient diabetes care. One-third did not have diabetes management guidelines for day surgery, endoscopy, barium studies or immediate management of the diabetic foot. Patients admitted with diabetic ketoacidosis were not immediately referred to the specialist team in one-third of hospitals. About half had no routine access to podiatry or dietetic care for in-patients with diabetes. The majority of UK hospitals either never adopted Diabetes Mellitus, Insulin Glucose Infusion in Acute Myocardial Infarction (DIGAMI)-1 protocols or had recently changed practice, and half do not endorse the use of in-patient subcutaneous insulin 'sliding-scales'. One in five UK hospitals survey in-patient diabetes treatment satisfaction. DISN numbers have increased rapidly-126 hospitals (51.4%) had a DISN, most (69.1%) appointed since 2002. Most (80.2%) hospitals without a DISN used the out-patient specialist nurse team to provide in-patient care.

CONCLUSIONS

This survey has identified substantial gaps in in-patient diabetes care in the UK. The rapid increase in DISN numbers indicates increasing attention to in-patient diabetes care in UK hospitals.

Trends in bed occupancy for inpatients with diabetes before and after the introduction of a diabetes inpatient specialist nurse service

AIMS

To compare diabetes bed occupancy and inpatient length of stay, before and after the introduction of a dedicated diabetes inpatient specialist nurse (DISN) service in a large UK Hospital.

METHODS

We analysed bed occupancy data for medical or surgical inpatients for 6 years (1998-2004 inclusive), with a DISN service in the final 2 years. Excess bed days per diabetes patient were derived from age band, specialty, and seasonally matched data for all inpatients without diabetes. We also analysed the number of inpatients with known diabetes who did not have diabetes recorded as a discharge diagnosis.

RESULTS

There were 14,722 patients with diabetes (9.7% of all inpatients) who accounted for 101 564 occupied bed days (12.4% of total). Of these, 18 161 days (17.8%) were excess compared with matched patients without diabetes, and were concentrated in those < 75 years old. Mean excess bed days per diabetes inpatient under 60 years of age was estimated to be 1.9 days before the DISN appointment, and this was reduced to 1.2 bed days after the appointment (P = 0.03). This is equivalent to 700 bed days saved per year per 1000 inpatients with diabetes under 60 years old, with an identical saving for those aged 61-75 years (P = 0.008), a saving of 1330 diabetes bed days per year by one DISN. Excess diabetes bed occupancy was 167 excess bed days per year per 1000 patients with diabetes in the local population after the DISN appointment. One quarter of the known Type 2 diabetes population were admitted annually, but one quarter of patients had no diagnostic code for diabetes.

CONCLUSIONS

Diabetes excess bed occupancy was concentrated in patients < 75 years old, and this was reduced notably following the introduction of a DISN service.

Improving Inpatient Diabetes Care: Nursing Issues

As the epidemic of diabetes continues to escalate, the number of patients with diabetes who are hospitalized also will grow. Current evidence shows the value of good glycemic control in reducing morbidity and mortality in patients with diabetes. Nurses will increasingly be called on to provide the majority of the hospitalized care for these patients, and to implement care strategies that are safe, efficient, and effective. This article lists barriers faced by nurses in the inpatient setting when providing care to patients with diabetes and hyperglycemia, describes certain strategies that have successfully overcome these barriers, and suggests other strategies for testing.

The impact of second-level specialized care on hospitalization in persons with diabetes: a multilevel population-based study

AIMS

We evaluated whether differences in the use of specialized care have an impact on rates of hospitalization for diabetes.

METHODS

In 2001 we determined the number of hours of second-level diabetes care provided by local health units (LHU) of the Piemonte Region (Italy) and created an indicator of the mean weekly number of hours of care per 1000 residents for each LHU. From the database of the Piemonte Hospital Information System, we extracted all hospitalizations for 20-75-year-old residents with a main discharge diagnosis of diabetes mellitus (n = 3457). For each LHU, we calculated the hospitalization rate, the percentage of unplanned hospital admissions, the mean length of hospital stay, the percentage of day-hospital admissions and the percentage of re-admissions for diabetes-related complications within 6 months. The association between the indicators of specialized care and of hospital care was studied using two-level generalized hierarchical linear regression models (level 1: patient; level 2: LHU), taking into account the clustered nature of the data. Age, educational level and an indicator of disease severity were used as adjustment parameters.

RESULTS

In the tertile of LHUs that provided the greatest number of hours of diabetes care, we observed, compared with the lowest tertile fewer unplanned hospital admissions [odds ratio (OR) 0.37; 95% confidence interval (CI) 0.20-0.67], greater day-hospital use (OR 1.99; 0.72-5.49) and a lower mean duration of hospital stay (coefficient -0.26; 95% CI -0.45 to -0.06), independently of the socio-economic level, which was a separate risk factor.

CONCLUSIONS

The intensity of specialized diabetes care greatly influences the characteristics of hospitalization.

Factors Influencing Length of Hospital Stay in Patients with Bacterial Pleural Effusion

BACKGROUND

Factors influencing length of hospital stay have been poorly analyzed in parapneumonic pleural effusions (PPE).

OBJECTIVES

The aim of this work is to identify the variables that determine increased hospital stay in patients with infectious pleural effusion (PE).

PATIENTS AND METHODS

We analyzed 112 patients with PE: empyema, complicated parapneumonic and non-complicated parapneumonic. Epidemiologic, biochemical, therapeutic and radiological variables were analyzed. Correlations with hospital stay were studied using the Student's t test, analysis of variance, Mann-Whitney U-test and linear regression model.

RESULTS

Among the 112 patients studied, there were 32 empyema, 50 complicated and 30 non-complicated parapneumonic cases. The median of length stay for all patients was 17 days. Longer hospitalization was required in patients with empyemic PE (p = 0.015), patients with underlying diseases (p = 0.003), those needing pleural drainage (p = 0.005) or decortication (p = 0.043) and those presenting unfavorable radiological outcome after treatment (p = 0.02). Biochemical parameters associated with longer hospital stay were elevated pleural fluid polymorphonuclear elastase (p = 0.001, r = 0.307) and lactate dehydrogenase (p = 0.001, r = 0.312). After linear regression analysis, only underlying disease, pleural drainage and pleural fluid polymorphonuclear elastase values remained in the model, explaining 23.1% of the variability of days of hospitalization.

CONCLUSIONS

The patients with PPE and empyema who required longer hospitalization were those with purulent fluid, underlying disease, surgical drainage and/or decortication, with unfavorable radiological outcome and higher pleural fluid levels of lactate dehydrogenase and polymorphonuclear elastase.

Primary health care and hospital interactions: effects for hospital length of stay

AIMS

Norwegian healthcare services are divided between primary and secondary care providers. A growing problem is that every third patient of 75 years of age or more experiences an extended stay in a somatic hospital while waiting to be sent to primary healthcare services. The interaction between these two levels of healthcare services is analysed to examine the effect on a patient's length of stay in hospital.

METHODS

Recent studies have asserted that research on length of stay in hospital should include influential factors such as system variation and system characteristics, in addition to standardizing for case-mix. New organizational routines are identified in 50 Norwegian somatic hospitals. A multivariate linear regression is used in both a static and a dynamic model to explain variations in hospital length of stay and in additional length of stay (5% of stays are defined as outliers).

RESULTS

The study shows that newly specialized structures constructed to enhance the interaction between the two levels have had no effect. Length of stay is dependent on the capacity of the primary healthcare provider and on the share of elderly in the hospital catchment area, the type of patients, the procedure performed, and the characteristics of the hospital.

CONCLUSION

Variation in length of stay between hospitals is primarily explained by the capacity of primary healthcare providers. However, some support is found in the dynamic model that introduces the proposition that a hospital-owned hotel would decrease the length of stay of patients in hospital.

Hospital in-patients with diabetes: increasing prevalence and management problems

AIMS

To re-assess the prevalence, management problems, clinical outcomes and discharge summaries of hospital in-patients with diabetes.

METHODS

Case records of all patients occupying in-patient beds were audited on a single weekday in 2003 in a large urban hospital and repeated after 3 months. Data was compared with an identical audit 12 years previously.

RESULTS

Over 12 years the number of beds available for admission (1191) had reduced by 25% with a bed occupancy of 97%. Diabetes prevalence had increased from 7.0% to 11.1% (P < 0.01) (97% Type 2). Diabetes management was considered inappropriate in 29%, more than in 1991 (20%). After 3 months, discharge summaries had been completed on 75% of patients but diabetes was mentioned in only 53%.

CONCLUSION

The prevalence of in-patient diabetes (11.1%) was over 50% greater and diabetes management was suboptimal in more patients than in 1991. In many length of stay was prolonged and almost half of the discharge summaries did not mention diabetes. These findings have major implications for service delivery and resource planning.

Specialist nurses in diabetes mellitus

BACKGROUND

The patient with diabetes has many different learning needs relating to diet, monitoring, and treatments. In many health care systems specialist nurses provide much of these needs, usually aiming to empower patients to self-manage their diabetes. The present review aims to assess the effects of the involvement of specialist nurse care on outcomes for people with diabetes, compared to usual care in hospital clinics or primary care with no input from specialist nurses.

OBJECTIVES

To assess the effects of diabetes specialist nurses / nurse case manager in diabetes on the metabolic control of patients with type 1 and type 2 diabetes mellitus.

SEARCH STRATEGY

We carried out a comprehensive search of databases including the Cochrane Library, MEDLINE and EMBASE to identify trials. Bibliographies of relevant papers were searched, and hand searching of relevant publications was undertaken to identify additional trials (Date of last search November 2002).

SELECTION CRITERIA

Randomised controlled trials and controlled clinical trials of the effects of a specialist nurse practitioner on short and long term diabetic outcomes were included in the review.

DATA COLLECTION AND ANALYSIS

Three investigators performed data extraction and quality scoring independently; any discrepancies were resolved by consensus.

MAIN RESULTS

Six trials including 1382 participants followed for six to 12 months were included. Two trials were in adolescents. Due to substantial heterogeneity between trials a meta-analysis was not performed. Glycated haemoglobin (HbA1c) in the intervention groups was not found to be significantly different from the control groups over a 12 month follow up period. One study demonstrated a significant reduction in HbA1c in the presence of the diabetes specialist nurse/nurse case manager at 6 months. Significant differences in episodes of hypoglycaemia and hyperglycaemia between intervention and control groups were found in one trial. Where reported, emergency admissions and quality of life were not found to be significantly different between groups. No information was found regarding BMI, mortality, long term diabetic complications, adverse effects, or costs.

REVIEWER'S CONCLUSIONS

The presence of a diabetes specialist nurse / nurse case manager may improve patients' diabetic control over short time periods, but from currently available trials the effects over longer periods of time are not evident. There were no significant differences overall in hypoglycaemic episodes, hyperglycaemic incidents, or hospital admissions. Quality of life was not shown to be affected by input from a diabetes specialist nurse/nurse case manager.

Preventing glycaemic excursions in diabetic patients requiring percutaneous endoscopic gastrostomy (PEG) feeding after a stroke

AIMS AND METHODS

Enteral feeding for diabetic patients with a stroke is often associated with hyperglycaemia and/or hypoglycaemia, which can adversely influence neurological recovery. We have developed a structured enteral feeding programme aimed at establishing 'normal' feeding patterns and avoiding marked glycaemic excursions.

RESULTS

Of 332 consecutive patients admitted to an acute stroke unit, 20 of 41 diabetic patients required PEG feeding. Over the initial 24-48 h, patients had 22- h feeds with continuous intravenous infusion of soluble insulin. Thereafter, they were established on three feeds per day. Soluble insulin was given prior to each feed with isophane insulin at 2200 h. Average duration of feed was 13 +/- 8 days with an achieved glucose level of 8.7 +/- 2.5 (mean +/- SD) mmol/l associated with 0.8 episodes of biochemical hypoglycaemia (< 3 mmol/l) each week.

CONCLUSIONS

A structured enteral feeding programme for PEG-fed diabetic patients can improve the quality of care with avoidance of marked glycaemic excursions.