| Literature DB >> 33134758 |
Mansi Desai1, Katherine Caldwell1, Nisha Gupta1, Arpi Bekmezian1, Michael D Cabana1,2, Andrew D Auerbach2, Sunitha V Kaiser1,2.
Abstract
Pathways guide clinicians through evidence-based care of specific conditions. Pathways have been demonstrated to improve pediatric asthma care, but mainly in studies at tertiary children's hospitals. Our global aim was to enhance the quality of asthma care across multiple measures by implementing pathways in community hospitals.Entities:
Year: 2020 PMID: 33134758 PMCID: PMC7591126 DOI: 10.1097/pq9.0000000000000355
Source DB: PubMed Journal: Pediatr Qual Saf ISSN: 2472-0054
Global and SMART Aims
| Global Aim: To Improve the Quality of Hospital Care for Children with Asthma | ||||
|---|---|---|---|---|
| BaselineSite #1 | BaselineSite #2 | Measure Type | Measure Calculation | |
| SMART aims for EDs | ||||
| Increase assessment of asthma severity at triage by 10% within 12 mo | 99% | 100% | Process | Children with assessment of severity of asthma exacerbation at ED triage/All children |
| Increase the administration of systemic corticosteroids within 60 mins of triage by 20% within 12 months | 28% | 59% | Process | Children administered systemic corticosteroids within 60 mins/Children administered systemic corticosteroids |
| Decrease the utilization of CXR by 15% within 12 mo | 48% | 26% | Process | Children with CXR ordered during ED visit/All children |
| Decrease hospital admissions (including transfers for a higher level of care) by 3% within 12 mo | 8% | 15% | Outcome | Children with ED disposition of admission or transfer for a higher level of care/All children |
| No significant change to ED length of stay | 226 mins | 124 mins | Balancing | Mean length of stay (mins) |
| SMART aims for inpatient wards | ||||
| Increase the early transition to administering bronchodilator via metered-dose inhaler by 30% within 12 mo | 61% | 27% | Process | Children with first dose of MDI given at 1- or 2-h frequency or MDI ordered at hospital admission/ All children |
| Increase screening for secondhand smoke exposure by 10% within 12 mo | 91% | 52% | Process | Children with documented screening for secondhand tobacco smoke exposure/All children |
| Increase in documentation of caregiver referral to smoking cessation resources for eligible patients by 50% within 12 mo | 0% | 0% | Process | Children with caretakers referred to cessation resources/Children with caretakers that reported smoking |
| Decrease the prescription of antibiotics at discharge by 5% within 12 mo | 7% | 13% | Process | Children with any antibiotic prescribed at discharge/All children |
| Decrease the inpatient length of hospital stay by 10% within 12 mo | 40 h | 35 h | Outcome | Average length of stay (h) |
| No significant change to 7-d hospital readmission/ED revisits | 5% | 0% | Balancing | Children readmitted or seen in the ED for any indication within 7 d after hospital discharge/All children |
Baseline values were determined using data from January to December 2017, and SMART aims were determined before calculation of baseline values. After baseline performance at each hospital was quantified, implementation teams focused PDSA cycles on higher priority measures.
Fig. 1.Key driver diagram. Blue boxes illustrate the study’s aims, green boxes illustrate key drivers, and orange boxes illustrate interventions. EMR, electronic medical record; RT, respiratory therapist.
Fig. 2.Effects of pediatric asthma pathways in community hospitals. Statistical process control charts of all study measures that showed significant changes in the ED and inpatient setting. Centerline (CL) represents mean performance over time. Red lines represent control limits, and individual data points represent mean performance from each month of the study. Centerline and control limits were shifted when the measure met criteria for special cause variation based on a run of eight or more data points in a row above/below the centerline.
Patient Characteristics in Preintervention versus Postintervention Period
| Children with ED Visits for Asthma Preintervention versus Postintervention (n = 881) | |||
|---|---|---|---|
| Patient Characteristics | Preintervention (n = 422) | Postintervention (n = 459) | |
| Male (%) | 248 (59%) | 311 (68%) | |
| Mean Age (y, SD) | 7.9 (3.9) | 7.7 (4.3) | 0.49 |
| Prior inhaled corticosteroid use (%)* | 157 (37%) | 172 (37%) | 0.93 |
| Insurance (%) | 0.33 | ||
| Private | 79 (19%) | 78 (17%) | |
| Public | 319 (76%) | 360 (78%) | |
| Tri-care | 3 (1%) | 0 (0%) | |
| Other, self-pay, or unknown | 20 (5%) | 21 (5%) | |
| Asthma exacerbation severity (%)* | 0.07 | ||
| Mild | 190 (45%) | 188 (41%) | |
| Moderate | 171 (41%) | 223 (49%) | |
| Severe | 57 (14%) | 45 (10%) | |
| Not documented | 4 (1%) | 3 (1%) | |
| Characteristics of children with inpatient admissions for asthma preintervention versus Postintervention (n = 138) | |||
| Patient Characteristics | Preintervention (n = 70) | Postintervention (n = 68) | |
| Male (%) | 39 (56%) | 43 (63%) | 0.37 |
| Mean age (y, SD) | 6.7 (3.9) | 6.5 (4.3) | 0.77 |
| Prior inhaled corticosteroid use (n%)* | 37 (53%) | 40 (59%) | 0.48 |
| Insurance (%) | |||
| Private | 23 (33%) | 22 (32%) | 1.00 |
| Public | 45 (64%) | 44 (64%) | |
| Tri-care | 1 (1%) | 0 (0%) | |
| Other, self-pay, or unknown | 1 (1%) | 2 (3%) | |
The preintervention period was from January to December 2017 and postintervention period was from January 2018 to April 2019.
Bold value indicates statistically significant.
*Analyzed using Chi-squared tests or Fischer’s exact.
†Analyzed using Student’s t-test.