Asthma Control and Medication Use Behaviors Among Children with Written Asthma Action Plans at Home and School

Transcription

1 Asthma Control and Medication Use Behaviors Among Children with Written Asthma Action Plans at Home and School 2010 Behavioral Risk Factor Surveillance System Child Asthma Call-back Survey Meggie Inouye, MN/MPH University of Washington

2 Overview Aims Background Methods Results Discussion Limitations Implications for practice

3 Aims 1) To estimate the prevalence of US children that have a written asthma action plan (WAAP) at home and school. 2) To assess the relationship of having a WAAP at home and school and asthma control. 3) To assess the relationship of having a WAAP at home and school and asthma medication use behaviors.

4 Estimated 7 million (9.5%) of US children have asthma 1 Asthma is uncontrolled 5.4% of US children (57% of children with asthma) experienced an asthma exacerbation in the past year 2 Asthma is one of the leading causes of school absenteeism 3 Uncontrolled asthma significantly effects a child s ability to play, learn, sleep and take part in normal activities key to development 4 1 Centers for Disease Control and Prevention (CDC), 2013b 2 CDC, 2013a 3 CDC, 2013d 4 Williams, 2006

5 Background: Asthma is a Definition: A chronic respiratory disorder involving a complex interaction of airflow obstruction, bronchial hyper-responsiveness, and underlying inflammation. 5 Chronic Disease Treatment cannot prevent the underlying severity of asthma; however, comprehensive asthma management can effectively control symptoms, reduce airway inflammation, and prevent exacerbations. 6,7 5 National Heart, Lung, and Blood Institute (NHLBI), Childhood Asthma Management Program Research Group, Guilbert et al., 2006

6 Background: Asthma Care Quality asthma care involves diagnosis and treatment to achieve asthma control and long-term regular follow up care to maintain control including: monitoring to assess control adjustments of medication therapies education on addressing environmental factors education on self-management skills and tools National Asthma Education and Prevention Program Expert Panel Report 3 (EPR-3) guidelines 8 National Heart, Lung, and Blood Institute, 2012

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8 Background: Rationale for Study Asthma self-management education has been shown to improve health outcomes and reduce related morbidity and health care costs The independent role of WAAP as a self-management tool is controversial National Health Interview Surveys showed 44.3% of children with asthma had WAAP 13 No prevalence estimates available for WAAP at school 9 Schermer, et al., Thoonen, et al., Shames, et al, Teach, et al Zahran, Bailey, & Garbe, 2011

9 Methods: Behavioral Risk Factor Surveillance Survey (BRFSS) Yearly, state-based, ongoing, random digit dialing telephone survey of civilian, non-institutionalized adults aged 18 years conducted in all 50 states, the District of Columbia, and 3 territories Comprised of standardized core questionnaire, optional modules, and state-added questions

10 Methods: Asthma Call-back Survey (ACBS) Optional module occurring 2 weeks after BRFSS If YES to Has the child ever been told by a doctor, a nurse, or another health professional that the child has asthma? Topics: symptoms and episodes/attacks, self-management education, health care utilization and access, medication use, and comorbidities 17 states chose to participate in 2010 and had 75 or more participants: Connecticut, Georgia, Hawaii, Indiana, Maryland, Michigan, Mississippi, Montana, Nebraska, New Jersey, New Mexico, Oklahoma, Pennsylvania, Texas, Utah, Vermont, and Washington. Overall child response rate via adult proxies was 53.7%.

11 Methods: Subjects Adult proxies of 2,300 children (age 0-17 years) with asthma participated in the study The nature of asthma as a chronic disease merits the inclusion of all survey participants regardless of lack of recent symptom activity Of those, 2,041 children were old enough to attend school and were not home schooled so were included in the school WAAP analysis The ACBS is a publicly available data set No exempt status or Institutional Review Board (IRB) review was required

12 Methods: Participant Characteristics Sex Age Race/ethnicity Health insurance status Annual household income Experienced cost as a barrier to care Includes cost of medication and cost of visits to a primary care or specialty provider Routine care visits (1 or more in last year)

13 Components of Control Impairment Methods: Asthma Control Days with symptoms Classification of asthma control Well controlled Not Well Controlled Very Poorly Controlled 8 days/month >8 days/month Throughout the day Nights awakenings 1/month >1/month >4/month Limited activity Not at all A little/moderate amount A lot Risk Short acting betaagonist use Oral systemic corticosteroid use in the last 3 months (yes/no) 2 days/week >2 days/week Several times per day (>1/day) No Yes General indicators of poor control Number of attacks/episodes in the last 3 months Duration of most recent attack/episode Missed school days Urgent visits, emergency department visits, and hospitalizations

14 Methods: Asthma Medication Use Behaviors Short acting beta agonists (SABA) Use of spacer with inhaler Use of inhaler during an attack Frequency of SABA inhaler use Number of SABA canisters in the last 3 months Regular scheduled inhaled corticosteroids (ICS) use every day Any oral corticosteroids in the last 3 months

15 Methods: Analysis STATA/IC (v. 13.0) Used STATA survey commands and weights based on the CDC sampling methods and state populations Output Prevalence estimates with 95% confidence intervals (CI) Chi 2 -P-value- significance at 0.05 Test for trend for continuous variables- Odds ratios (OR) Regression analysis Relative risk (RR) and adjusted relative risks (ARR) Adjusted for socio-demographic differences and routine care visits

16 Results: WAAP at Home

17 Results: WAAP at School

18 Results: WAAP at Home

19 Results: WAAP at School

20 Results: Logistic regression analysis

21 Results: WAAP at Home

22 Results: School

23 Results: Logistic regression analysis

24 Discussion Prevalence estimates: 44.9% reported ever having been given a WAAP 34.4% reported having a WAAP at school Having a routine visit in the last year was strongly associated with having been given a WAAP and having a WAAP at school Having asthma that was not well controlled or poorly controlled and experiencing asthma symptoms were associated with having a WAAP at home and school There was no difference in desired medication use behaviors (such as inhaler spacer use, consistent inhaled corticosteroid use, or avoidance of oral systemic steroid use)

25 Cross-sectional study design Limitations No specific information about the types of WAAP given e.g. symptom based self-assessment or peak flow meter selfassessment No specific information about the baseline severity of disease Adult proxies Telephone interviews have inherent limitations Cell phones are not in the 2010 ACBS sampling frame

26 Practice Implications That is a good question. One should consider the additional costs 14, the limited time on the part of providers 15, and the unclear perceived benefit to administer written asthma action plans Providers should use self-management tools in practice that are known to be effective 14 Polisena, et al., Cabana et al., 2008

27 Future studies Future studies should include: Rigorous prospective observational studies to test the independent effect of having a WAAP on asthma control and medication use behaviors in the home and school Randomized control trials of revised WAAP to evaluate effectiveness

28 Acknowledgements Thesis committee: Chair: Stephen Hawes, PhD, MS Associate Professor in Epidemiology Adjunct in Global Health/Health Services Jennifer Sonney, MN, ARNP Senior Lecturer in Family and Child Nursing Pediatric Pulmonary Center Maternal and Child Health Leadership Training Program Chris and Granite Inouye The study is supported by the U.S. Department of Health and Human Services, Health Resources and Services Administration s Maternal and Child Health Bureau (Title V, Social Security Act), grant #T76MC00011 and the Eunice Kennedy Shriver National Institute of Child Health and Human Development research infrastructure grant, R24 H042828, the Center for Studies in Demography & Ecology at the University of Washington.

29 References 1. Centers for Disease Control and Prevention (2013b). Asthma data and surveillance. Retrieved from 2. Centers for Disease Control and Prevention (2013a). Asthma episodes and current asthma. Early Release of Selected Estimates Based on Data from the 2012 National Health Interview Survey. Retrieved from 3. Centers for Disease Control and Prevention (2013d) National Center for Chronic Disease Prevention and Health Promotion. Healthy Youth! Health Topics: Asthma. Retrieved on November 11, 2013 from 4. Williams, D. M. (2006). Considerations in the long-term management of asthma in ambulatory patients. American Journal of Health Systems Pharmacology 63(10 Suppl 3): S14 S National Heart, Lung, and Blood Institute. (2012). Asthma care quick reference: Diagnosing and managing asthma. U.S. Department of Health and Human Services National Institute of Health: Bethesda, MD. Retrieved on February 20, 2014 from 6. Childhood Asthma Management Program Research Group (CAMP) (2000). Long-term effects of budesonide or nedocromil in children with asthma. New England Journal of Medicine, 343(15): Guilbert, T. W., Morgan, W. J., Zeiger, R. S., Mauger, D. T., Boehmer, S.J., Szefler, S. J., Bacharier, L. B., Lemanske, R. F. Jr, Strunk, R. C., Allen, D. B., et al. (2006). Long-term inhaled corticosteroids in preschool children at high risk for asthma. New England Journal of Medicine, 354(19): National Heart, Lung, and Blood Institute, 2012 (see #5). 9. Schermer, T. R., Thoonen, B. P., Van Den Boom, G., Akkermans, R. P., Grol, R. P., Folgering, H. T., Van Weel, C., & Van Schayck, C. P. (2002). Randomized controlled economic evaluation of asthma self-management in primary health care. American Journal of Respiratory Critical Care Medicine, 166(8): Thoonen, B. P., Schermer, T. R., Van Den Boom, G., Molema, J., Folgering, H., Akkermans, R. P., Grol, R., Van Weel, C., & Van Schayck, C. P. (2003). Self-management of asthma in general practice, asthma control and quality of life: A randomized controlled trial. Thorax, 58(1): Shames R. S., Sharek, P., Mayer, M., Robinson, T. N., Hoyte, E. G., Gonzalez-Hensley, F., Bergman, D. A., & Umetsu, D. T. (2004). Effectiveness of a multicomponent self-management program in at-risk, school-aged children with asthma. Annals of Allergy, Asthma, and Immunology, 92(6): Teach, S. J., Crain, E. F., Quint, D. M., Hylan, M. L., & Joseph, J. G. (2006). Improved asthma outcomes in a high-morbidity pediatric population: results of an emergency department-based randomized clinical trial. Archives of Pediatric and Adolescent Medicine, 160(5): Zahran, H. S., Bailey, C., & Garbe, P. (2011). Vital signs: Asthma prevalence, disease characteristics, and self-management education- United States, Centers for Disease Control and Prevention. Morbidity and Mortality Weekly Report, 60(17): 547.

30 Thank you!