Carl Galloway, MD

Clinical Question: Can a collaborative quality improvement project improve the quality and efficiency of pediatric hospital discharges?

Background: Transitions of care, including at the time of hospital discharge, are a potential source of risk and can be associated with adverse events including medication errors and preventable readmissions. Some studies have shown that 10–20% of patients had an adverse event after discharge, and half of those were preventable; one adult study found nearly half of the discharged patients had at least one medication error.1,2 Although multiple projects to improve the discharge process have been published in adult literature, few have focused on the pediatric population. In this study, the Children’s Hospital Association (CHA) formed a pediatric quality improvement collaborative across multiple facilities to examine whether shared improvement strategies would affect failures of discharge-related care, parent-reported readiness for discharge, and readmission rates.

Study Design: Multicenter quality improvement collaborative.

Setting: 11 freestanding tertiary-care children’s hospitals in the United States.

Synopsis: Each of the 11 participating sites chose a specific target population, such as patients with sickle cell disease, asthma, or all discharged pediatric patients. Populations were selected at the discretion of the sites. A multidisciplinary expert advisory panel reviewed literature and developed a change package that included being proactive about discharge planning during hospitalization; improving throughput; arranging post-discharge treatment and support; and communicating post-discharge plan with patients, families, and providers. Each site selected elements of the change package to implement based on individual needs and preferences and incorporated via plan-do-study-act cycles during three action periods. Elements that were implemented by most or all sites included family education on diagnosis and discharge plans, use of discharge checklists, improvement of written discharge instructions, post-discharge follow-up phone calls to reinforce discharge instructions, and identifying and obtaining medications. Virtual learning conferences and monthly Web conferences were held for participants in the collaborative, and experienced improvement coaches guided teams through implementation.

The primary aim of the study was to reduce discharge-related care failures by 50% in 12 months. Failures were measured by phone calls to families two to seven days following discharge, and if any problem related to discharge occurred, the discharge was considered a failure (all-or-none measure). Components of this measure included understanding the diagnosis, receiving discharge instructions and education, complying with instructions, receiving necessary equipment, planning for follow-up pending tests, receiving help with appointments, and not requiring a related unplanned medical visit. Other measures evaluated in this study included patient/family readiness for discharge and unplanned readmission rates (72 hours and 30 days).

Overall, the rate of failures of discharge care was 34% at baseline, which decreased to 21% at the end of the collaborative, for a reduction of 40%. Some individual hospitals exceeded this mark as well. Among the hospitals reporting data on family readiness for discharge, there was a statistically significant improvement, with 85% of families at baseline rating readiness in the highest category and 91% in the last quarter of the study. There was no improvement in rates of unplanned readmission, with 72-hour readmission rates steady across the project (0.7% at onset, 1.1% at end of study; P = 0.29) and slight worsening of the 30-day rate (4.5% to 6.3%; P = 0.05).

Potential explanations for the findings related to readmission rates include seasonal variability in readmissions as well as high variability in patients included in the study. For example, one site focused on patients with sickle cell disease, another on patients with asthma, and others included all diagnoses. Overall, unplanned readmission rates were low (around 1% for 72-hour, 5% for 30-day), which is consistent with other pediatric studies.

Bottom Line: In this study, institutions using a collaborative approach improved the quality of inpatient discharges by using an intervention bundle in pediatric hospital settings. There was no improvement noted in readmission rates, although these rates were low.

Citation: Wu S, Tyler A, Logsdon T, et al. A quality improvement collaborative to improve the discharge process for hospitalized children. Pediatrics. 2016;138(2). pii:e20143604.

References:

1. Moore C, Wisnivesky J, Williams S, McGinn T. Medical errors related to discontinuity of care from an inpatient to an outpatient setting. J Gen Intern Med. 2003;18(8):646-651.
2. Forster AJ, Clark HD, Menard A, et al. Adverse events among medical patients after discharge from hospital. CMAJ. 2004;170(3):345-349.

Clinical Question: Can a collaborative quality improvement project improve the quality and efficiency of pediatric hospital discharges?

Background: Transitions of care, including at the time of hospital discharge, are a potential source of risk and can be associated with adverse events including medication errors and preventable readmissions. Some studies have shown that 10–20% of patients had an adverse event after discharge, and half of those were preventable; one adult study found nearly half of the discharged patients had at least one medication error.1,2 Although multiple projects to improve the discharge process have been published in adult literature, few have focused on the pediatric population. In this study, the Children’s Hospital Association (CHA) formed a pediatric quality improvement collaborative across multiple facilities to examine whether shared improvement strategies would affect failures of discharge-related care, parent-reported readiness for discharge, and readmission rates.

Study Design: Multicenter quality improvement collaborative.

Setting: 11 freestanding tertiary-care children’s hospitals in the United States.

Synopsis: Each of the 11 participating sites chose a specific target population, such as patients with sickle cell disease, asthma, or all discharged pediatric patients. Populations were selected at the discretion of the sites. A multidisciplinary expert advisory panel reviewed literature and developed a change package that included being proactive about discharge planning during hospitalization; improving throughput; arranging post-discharge treatment and support; and communicating post-discharge plan with patients, families, and providers. Each site selected elements of the change package to implement based on individual needs and preferences and incorporated via plan-do-study-act cycles during three action periods. Elements that were implemented by most or all sites included family education on diagnosis and discharge plans, use of discharge checklists, improvement of written discharge instructions, post-discharge follow-up phone calls to reinforce discharge instructions, and identifying and obtaining medications. Virtual learning conferences and monthly Web conferences were held for participants in the collaborative, and experienced improvement coaches guided teams through implementation.

The primary aim of the study was to reduce discharge-related care failures by 50% in 12 months. Failures were measured by phone calls to families two to seven days following discharge, and if any problem related to discharge occurred, the discharge was considered a failure (all-or-none measure). Components of this measure included understanding the diagnosis, receiving discharge instructions and education, complying with instructions, receiving necessary equipment, planning for follow-up pending tests, receiving help with appointments, and not requiring a related unplanned medical visit. Other measures evaluated in this study included patient/family readiness for discharge and unplanned readmission rates (72 hours and 30 days).

Overall, the rate of failures of discharge care was 34% at baseline, which decreased to 21% at the end of the collaborative, for a reduction of 40%. Some individual hospitals exceeded this mark as well. Among the hospitals reporting data on family readiness for discharge, there was a statistically significant improvement, with 85% of families at baseline rating readiness in the highest category and 91% in the last quarter of the study. There was no improvement in rates of unplanned readmission, with 72-hour readmission rates steady across the project (0.7% at onset, 1.1% at end of study; P = 0.29) and slight worsening of the 30-day rate (4.5% to 6.3%; P = 0.05).

Potential explanations for the findings related to readmission rates include seasonal variability in readmissions as well as high variability in patients included in the study. For example, one site focused on patients with sickle cell disease, another on patients with asthma, and others included all diagnoses. Overall, unplanned readmission rates were low (around 1% for 72-hour, 5% for 30-day), which is consistent with other pediatric studies.

Bottom Line: In this study, institutions using a collaborative approach improved the quality of inpatient discharges by using an intervention bundle in pediatric hospital settings. There was no improvement noted in readmission rates, although these rates were low.

Citation: Wu S, Tyler A, Logsdon T, et al. A quality improvement collaborative to improve the discharge process for hospitalized children. Pediatrics. 2016;138(2). pii:e20143604.

References:

1. Moore C, Wisnivesky J, Williams S, McGinn T. Medical errors related to discontinuity of care from an inpatient to an outpatient setting. J Gen Intern Med. 2003;18(8):646-651.
2. Forster AJ, Clark HD, Menard A, et al. Adverse events among medical patients after discharge from hospital. CMAJ. 2004;170(3):345-349.

Clinical Question: Can a collaborative quality improvement project improve the quality and efficiency of pediatric hospital discharges?

Background: Transitions of care, including at the time of hospital discharge, are a potential source of risk and can be associated with adverse events including medication errors and preventable readmissions. Some studies have shown that 10–20% of patients had an adverse event after discharge, and half of those were preventable; one adult study found nearly half of the discharged patients had at least one medication error.1,2 Although multiple projects to improve the discharge process have been published in adult literature, few have focused on the pediatric population. In this study, the Children’s Hospital Association (CHA) formed a pediatric quality improvement collaborative across multiple facilities to examine whether shared improvement strategies would affect failures of discharge-related care, parent-reported readiness for discharge, and readmission rates.

Study Design: Multicenter quality improvement collaborative.

Setting: 11 freestanding tertiary-care children’s hospitals in the United States.

Synopsis: Each of the 11 participating sites chose a specific target population, such as patients with sickle cell disease, asthma, or all discharged pediatric patients. Populations were selected at the discretion of the sites. A multidisciplinary expert advisory panel reviewed literature and developed a change package that included being proactive about discharge planning during hospitalization; improving throughput; arranging post-discharge treatment and support; and communicating post-discharge plan with patients, families, and providers. Each site selected elements of the change package to implement based on individual needs and preferences and incorporated via plan-do-study-act cycles during three action periods. Elements that were implemented by most or all sites included family education on diagnosis and discharge plans, use of discharge checklists, improvement of written discharge instructions, post-discharge follow-up phone calls to reinforce discharge instructions, and identifying and obtaining medications. Virtual learning conferences and monthly Web conferences were held for participants in the collaborative, and experienced improvement coaches guided teams through implementation.

The primary aim of the study was to reduce discharge-related care failures by 50% in 12 months. Failures were measured by phone calls to families two to seven days following discharge, and if any problem related to discharge occurred, the discharge was considered a failure (all-or-none measure). Components of this measure included understanding the diagnosis, receiving discharge instructions and education, complying with instructions, receiving necessary equipment, planning for follow-up pending tests, receiving help with appointments, and not requiring a related unplanned medical visit. Other measures evaluated in this study included patient/family readiness for discharge and unplanned readmission rates (72 hours and 30 days).

Overall, the rate of failures of discharge care was 34% at baseline, which decreased to 21% at the end of the collaborative, for a reduction of 40%. Some individual hospitals exceeded this mark as well. Among the hospitals reporting data on family readiness for discharge, there was a statistically significant improvement, with 85% of families at baseline rating readiness in the highest category and 91% in the last quarter of the study. There was no improvement in rates of unplanned readmission, with 72-hour readmission rates steady across the project (0.7% at onset, 1.1% at end of study; P = 0.29) and slight worsening of the 30-day rate (4.5% to 6.3%; P = 0.05).

Potential explanations for the findings related to readmission rates include seasonal variability in readmissions as well as high variability in patients included in the study. For example, one site focused on patients with sickle cell disease, another on patients with asthma, and others included all diagnoses. Overall, unplanned readmission rates were low (around 1% for 72-hour, 5% for 30-day), which is consistent with other pediatric studies.

Bottom Line: In this study, institutions using a collaborative approach improved the quality of inpatient discharges by using an intervention bundle in pediatric hospital settings. There was no improvement noted in readmission rates, although these rates were low.

Citation: Wu S, Tyler A, Logsdon T, et al. A quality improvement collaborative to improve the discharge process for hospitalized children. Pediatrics. 2016;138(2). pii:e20143604.

References:

1. Moore C, Wisnivesky J, Williams S, McGinn T. Medical errors related to discontinuity of care from an inpatient to an outpatient setting. J Gen Intern Med. 2003;18(8):646-651.
2. Forster AJ, Clark HD, Menard A, et al. Adverse events among medical patients after discharge from hospital. CMAJ. 2004;170(3):345-349.

Clinical Question: What is the performance of the Step-by-Step approach to evaluate febrile infants, and how does it compare to other existing criteria?

Background: Multiple studies have been performed to find the best set of criteria to identify febrile infants at low risk for bacterial infection in order to manage them in a less invasive manner. Common criteria used in the United States include Rochester, Philadelphia, and Boston criteria, initially published in the early 1990s. Since that time, management has evolved with the introduction of newer biomarkers such as C-reactive protein (CRP) and procalcitonin (PCT), and epidemiology has changed with immunizations and improvement in intrapartum antibiotic prophylaxis.

A new algorithm, Step-by-Step, has been developed by a group of European pediatric emergency physicians and has been shown retrospectively to accurately identify groups of patients according to risk of noninvasive or invasive bacterial infection (IBI). This algorithm uses a sequential approach, evaluating the general appearance, age of the patient, urinalysis, and then other lab findings including CRP, PCT, and absolute neutrophil count (ANC). In this study, the authors sought to validate this algorithm prospectively in a larger multicenter population.

Study Design: Multicenter prospective study.

Setting: 11 European pediatric emergency departments in Spain, Italy, and Switzerland.

Synopsis: This study included infants ≤90 days of age presenting to the pediatric emergency department (PED) between September 2012 and August 2014 with fever without source (defined as temperature ≥38°C measured by thermometer at home or in the PED, with normal physical examination and no respiratory signs or symptoms or diarrheal process). Labs obtained for each patient included urinalysis, urine culture (obtained by bladder catheterization or suprapubic aspiration), white blood cell count, PCT, CRP, and blood culture. Further testing and management were determined by the treating physician and management protocols of each center.

Exclusion criteria included:

• Clear source of fever by history or physical examination.
• No fever in the PED and fever assessed only subjectively by parents prior to presentation without the use of a thermometer.
• Absence of one or more of the above lab tests.
• Refusal of parents to participate.

The study included 2,185 infants. Of these, 504 were diagnosed with bacterial infection, including 87 (3.9%) with IBI (defined as positive blood or cerebrospinal fluid culture) and 417 (19.1%) with non-IBI (409 of which were urinary tract infections). Following the first part of the Step-by-Step approach, which uses general appearance (well-appearing versus ill-appearing), age (older or younger than 21 days), and leukocyturia, identified 79.3% of patients with IBI and 98.5% of non-IBI. Adding the next steps in the approach, with PCT, CRP, and ANC, identified 991 low-risk patients (45.3% of the studied population). In this low-risk group, seven patients were subsequently identified as having IBI (0.7% of this group). Using the Step-by-Step approach led to a negative predictive value (NPV) of 99.3 for identifying IBI, with a negative likelihood ratio (LR) of 0.17.

In evaluation of the seven low-risk patients with IBI, three of these were noted to present to the PED within one hour of onset of fever, and three more patients had fever first detected on arrival in the PED. This short duration of fever, and the lack of time for a rise in biomarkers, is likely why these patients were missed in the initial assessment.

When the Rochester criteria were used for this group of 2,185 patients, 949 patients were identified as low risk, with 1.6% of the low-risk patients found to have IBI, leading to an NPV of 98.3 and negative LR of 0.41. The authors chose to compare their approach to the Rochester criteria because the other commonly used approaches (Boston, Philadelphia) recommend lumbar puncture in all febrile infants while Rochester does not, and more recent literature suggests an individualized approach rather than recommending the test systematically.

Limitations included:

• Prevalence of bacterial infection was similar to other European publications but higher than in many studies in the United States, primarily due to an increased rate of UTI. (In this study, the authors used a definition of leukocyturia and culture with ≥10,000 cfu/mL.)
• Band count, although part of the Rochester criteria, was not available in some of the centers and not included in analysis. Inclusion of this lab study could have changed the performance of the Rochester criteria.
• The Step-by-Step approach was not compared to other existing criteria.

Bottom Line: In this study, the Step-by-Step approach was very accurate in identifying febrile infants at low risk for invasive bacterial infection, performing better than the Rochester criteria, and may be helpful in evaluation of infants with fever in the emergency department. A cautious approach is warranted for patients with very short fever duration, as they may be missed by ancillary test results.

Citation: Gomez B, Mintegi S, Bressan S, et al. Validation of the “step-by-step” approach in the management of young febrile infants. Pediatrics. 2016;138(2). pic:e20154381.

Carl Galloway, MD, is a hospitalist at Sanford Children’s Hospital in Sioux Falls, S.D.

Clinical Question: What is the performance of the Step-by-Step approach to evaluate febrile infants, and how does it compare to other existing criteria?

Background: Multiple studies have been performed to find the best set of criteria to identify febrile infants at low risk for bacterial infection in order to manage them in a less invasive manner. Common criteria used in the United States include Rochester, Philadelphia, and Boston criteria, initially published in the early 1990s. Since that time, management has evolved with the introduction of newer biomarkers such as C-reactive protein (CRP) and procalcitonin (PCT), and epidemiology has changed with immunizations and improvement in intrapartum antibiotic prophylaxis.

A new algorithm, Step-by-Step, has been developed by a group of European pediatric emergency physicians and has been shown retrospectively to accurately identify groups of patients according to risk of noninvasive or invasive bacterial infection (IBI). This algorithm uses a sequential approach, evaluating the general appearance, age of the patient, urinalysis, and then other lab findings including CRP, PCT, and absolute neutrophil count (ANC). In this study, the authors sought to validate this algorithm prospectively in a larger multicenter population.

Study Design: Multicenter prospective study.

Setting: 11 European pediatric emergency departments in Spain, Italy, and Switzerland.

Synopsis: This study included infants ≤90 days of age presenting to the pediatric emergency department (PED) between September 2012 and August 2014 with fever without source (defined as temperature ≥38°C measured by thermometer at home or in the PED, with normal physical examination and no respiratory signs or symptoms or diarrheal process). Labs obtained for each patient included urinalysis, urine culture (obtained by bladder catheterization or suprapubic aspiration), white blood cell count, PCT, CRP, and blood culture. Further testing and management were determined by the treating physician and management protocols of each center.

Exclusion criteria included:

• Clear source of fever by history or physical examination.
• No fever in the PED and fever assessed only subjectively by parents prior to presentation without the use of a thermometer.
• Absence of one or more of the above lab tests.
• Refusal of parents to participate.

The study included 2,185 infants. Of these, 504 were diagnosed with bacterial infection, including 87 (3.9%) with IBI (defined as positive blood or cerebrospinal fluid culture) and 417 (19.1%) with non-IBI (409 of which were urinary tract infections). Following the first part of the Step-by-Step approach, which uses general appearance (well-appearing versus ill-appearing), age (older or younger than 21 days), and leukocyturia, identified 79.3% of patients with IBI and 98.5% of non-IBI. Adding the next steps in the approach, with PCT, CRP, and ANC, identified 991 low-risk patients (45.3% of the studied population). In this low-risk group, seven patients were subsequently identified as having IBI (0.7% of this group). Using the Step-by-Step approach led to a negative predictive value (NPV) of 99.3 for identifying IBI, with a negative likelihood ratio (LR) of 0.17.

In evaluation of the seven low-risk patients with IBI, three of these were noted to present to the PED within one hour of onset of fever, and three more patients had fever first detected on arrival in the PED. This short duration of fever, and the lack of time for a rise in biomarkers, is likely why these patients were missed in the initial assessment.

When the Rochester criteria were used for this group of 2,185 patients, 949 patients were identified as low risk, with 1.6% of the low-risk patients found to have IBI, leading to an NPV of 98.3 and negative LR of 0.41. The authors chose to compare their approach to the Rochester criteria because the other commonly used approaches (Boston, Philadelphia) recommend lumbar puncture in all febrile infants while Rochester does not, and more recent literature suggests an individualized approach rather than recommending the test systematically.

Limitations included:

• Prevalence of bacterial infection was similar to other European publications but higher than in many studies in the United States, primarily due to an increased rate of UTI. (In this study, the authors used a definition of leukocyturia and culture with ≥10,000 cfu/mL.)
• Band count, although part of the Rochester criteria, was not available in some of the centers and not included in analysis. Inclusion of this lab study could have changed the performance of the Rochester criteria.
• The Step-by-Step approach was not compared to other existing criteria.

Bottom Line: In this study, the Step-by-Step approach was very accurate in identifying febrile infants at low risk for invasive bacterial infection, performing better than the Rochester criteria, and may be helpful in evaluation of infants with fever in the emergency department. A cautious approach is warranted for patients with very short fever duration, as they may be missed by ancillary test results.

Citation: Gomez B, Mintegi S, Bressan S, et al. Validation of the “step-by-step” approach in the management of young febrile infants. Pediatrics. 2016;138(2). pic:e20154381.

Carl Galloway, MD, is a hospitalist at Sanford Children’s Hospital in Sioux Falls, S.D.

Clinical Question: What is the performance of the Step-by-Step approach to evaluate febrile infants, and how does it compare to other existing criteria?

Background: Multiple studies have been performed to find the best set of criteria to identify febrile infants at low risk for bacterial infection in order to manage them in a less invasive manner. Common criteria used in the United States include Rochester, Philadelphia, and Boston criteria, initially published in the early 1990s. Since that time, management has evolved with the introduction of newer biomarkers such as C-reactive protein (CRP) and procalcitonin (PCT), and epidemiology has changed with immunizations and improvement in intrapartum antibiotic prophylaxis.

A new algorithm, Step-by-Step, has been developed by a group of European pediatric emergency physicians and has been shown retrospectively to accurately identify groups of patients according to risk of noninvasive or invasive bacterial infection (IBI). This algorithm uses a sequential approach, evaluating the general appearance, age of the patient, urinalysis, and then other lab findings including CRP, PCT, and absolute neutrophil count (ANC). In this study, the authors sought to validate this algorithm prospectively in a larger multicenter population.

Study Design: Multicenter prospective study.

Setting: 11 European pediatric emergency departments in Spain, Italy, and Switzerland.

Synopsis: This study included infants ≤90 days of age presenting to the pediatric emergency department (PED) between September 2012 and August 2014 with fever without source (defined as temperature ≥38°C measured by thermometer at home or in the PED, with normal physical examination and no respiratory signs or symptoms or diarrheal process). Labs obtained for each patient included urinalysis, urine culture (obtained by bladder catheterization or suprapubic aspiration), white blood cell count, PCT, CRP, and blood culture. Further testing and management were determined by the treating physician and management protocols of each center.

Exclusion criteria included:

• Clear source of fever by history or physical examination.
• No fever in the PED and fever assessed only subjectively by parents prior to presentation without the use of a thermometer.
• Absence of one or more of the above lab tests.
• Refusal of parents to participate.

The study included 2,185 infants. Of these, 504 were diagnosed with bacterial infection, including 87 (3.9%) with IBI (defined as positive blood or cerebrospinal fluid culture) and 417 (19.1%) with non-IBI (409 of which were urinary tract infections). Following the first part of the Step-by-Step approach, which uses general appearance (well-appearing versus ill-appearing), age (older or younger than 21 days), and leukocyturia, identified 79.3% of patients with IBI and 98.5% of non-IBI. Adding the next steps in the approach, with PCT, CRP, and ANC, identified 991 low-risk patients (45.3% of the studied population). In this low-risk group, seven patients were subsequently identified as having IBI (0.7% of this group). Using the Step-by-Step approach led to a negative predictive value (NPV) of 99.3 for identifying IBI, with a negative likelihood ratio (LR) of 0.17.

In evaluation of the seven low-risk patients with IBI, three of these were noted to present to the PED within one hour of onset of fever, and three more patients had fever first detected on arrival in the PED. This short duration of fever, and the lack of time for a rise in biomarkers, is likely why these patients were missed in the initial assessment.

When the Rochester criteria were used for this group of 2,185 patients, 949 patients were identified as low risk, with 1.6% of the low-risk patients found to have IBI, leading to an NPV of 98.3 and negative LR of 0.41. The authors chose to compare their approach to the Rochester criteria because the other commonly used approaches (Boston, Philadelphia) recommend lumbar puncture in all febrile infants while Rochester does not, and more recent literature suggests an individualized approach rather than recommending the test systematically.

Limitations included:

• Prevalence of bacterial infection was similar to other European publications but higher than in many studies in the United States, primarily due to an increased rate of UTI. (In this study, the authors used a definition of leukocyturia and culture with ≥10,000 cfu/mL.)
• Band count, although part of the Rochester criteria, was not available in some of the centers and not included in analysis. Inclusion of this lab study could have changed the performance of the Rochester criteria.
• The Step-by-Step approach was not compared to other existing criteria.

Bottom Line: In this study, the Step-by-Step approach was very accurate in identifying febrile infants at low risk for invasive bacterial infection, performing better than the Rochester criteria, and may be helpful in evaluation of infants with fever in the emergency department. A cautious approach is warranted for patients with very short fever duration, as they may be missed by ancillary test results.

Citation: Gomez B, Mintegi S, Bressan S, et al. Validation of the “step-by-step” approach in the management of young febrile infants. Pediatrics. 2016;138(2). pic:e20154381.

Carl Galloway, MD, is a hospitalist at Sanford Children’s Hospital in Sioux Falls, S.D.