Skip to main content

Main menu

  • Home
  • Content
    • Current Issue
    • Online First
    • Multimedia
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Call for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • RSS
    • Email Alerts
    • Journal Club
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers

User menu

  • My alerts

Search

  • Advanced search
Annals of Family Medicine
  • My alerts
Annals of Family Medicine

Advanced Search

  • Home
  • Content
    • Current Issue
    • Online First
    • Multimedia
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Call for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • RSS
    • Email Alerts
    • Journal Club
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers
  • Follow annalsfm on Twitter
  • Visit annalsfm on Facebook
Research ArticleOriginal Research

Evaluation of a Quality Improvement Collaborative in Asthma Care: Does it Improve Processes and Outcomes of Care?

Matthias Schonlau, Rita Mangione-Smith, Kitty S. Chan, Joan Keesey, Mayde Rosen, Thomas A. Louis, Shin-Yi Wu and Emmett Keeler
The Annals of Family Medicine May 2005, 3 (3) 200-208; DOI: https://doi.org/10.1370/afm.269
Matthias Schonlau
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rita Mangione-Smith
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kitty S. Chan
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joan Keesey
BA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mayde Rosen
RN, BSN
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Thomas A. Louis
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shin-Yi Wu
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Emmett Keeler
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Tables

  • Additional Files
    • View popup
    Table 1.

    Demographic Characteristics of the Survey Sample

    VariableIntervention n = 123Control n = 62Overall n = 185PValue
    Note: P values stem from χ2 tests for categorical variables and from t tests for age. To avoid nearly empty or empty cells for the χ2 tests, cells with 4 or more comorbidities were combined.
    Age, y, mean (SD)42.3 (17.4)43.9 (15.7)42.8 (16.8).53
    Male, %17.924.220.31
    Respondent’s education, %–––.55
        < High school29.323.027.2–
        High school29.327.928.8–
        > High school41.549.244.0–
    Household income ≥ $30,000, %26.822.628.9.53
    Race or ethnicity, %–––.32
        White (non-Hispanic)65.975.869.2–
        Hispanic17.19.714.6–
        Black (non-Hispanic)5.78.16.5–
        Other + multiracial + Asian11.46.59.7–
    Comorbidities, No., mean (SD)1.32 (1.23)2.08 (1.53)1.57 (1.38).007
    Asthma severity, %–––.11
        Intermittent33.943.940.5–
        Persistent (mild)19.425.223.2–
        Persistent (moderate or severe)46.830.936.2–
    No insurance, %9.88.19.2.70
    • View popup
    Table 2.

    Adjusted Difference of Differences for the Intervention and Control Groups for Each Quality Indicator Based on Medical Record Abstractions

    Intervention Group (n = 101)Control Group (n = 64)
    Quality IndicatorFinal Passing (%)Change From Initial (%)Final Passing (%)Change From Initial (%)Adjusted Differences of DifferencesAdjustedPValue for Differences of Differences
    * Significant at P <.05.
    † Significant at P <.01.
    1. All patients should have a β2-agonist prescribed for symptomatic relief832896−4.68
    2. Peak expiratory flow rate (or spirometry) should be measured in all patients at least annually282114017.03*
    3. No β-blocker should be prescribed for patients with diagnosed asthma92−292−20.94
    4. All patients should have a written action plan in the medical record based on changes in symptoms or peak flow measurements27260026<.0001†
    5. Patients with asthma should have at least 2 routine planned follow-up visits for asthma annually77−8912−7.41
    6. Patients should be educated by physician in self-management of asthma371510−315.07
    7. Patients prescribed inhaled medications should be instructed in use of metered- dose inhalers22157713.04
    8. Evidence of collaborative goal setting between patient and clinician and lay educator should be recorded at least annually77007.03*
    9. Overall asthma process of care summary score46103818.003†
    • View popup
    Table 3.

    Adjusted and Unadjusted Survey-Based Process-of-Care Measures for Patients in Control and Intervention Groups

    UnadjustedAdjusted*
    VariablesControl (n = 62)Intervention (n = 123)DifferenceControl (n = 62)Intervention (n = 123)DifferencePValue
    * Adjustments are based on multiple regressions adjusted for race/ethnicity, education, sex, income, severity of asthma, and number of comorbidities.
    † Significant at P <.05.
    Patient self-management, %
        Peak flow monitoring386023445713.21
        Goal setting40531347503.74
        Written action plan244319254419.058
        Education sessions attended2111052015.028†
    Knowledge (0–10 scale)7.77.5−0.27.67.60.0.93
    Taking long-term medication (yes/no), %6670467692.85
    • View popup
    Table 4.

    Comparison Between Various Survey-Based Outcomes Measures of Patients in Control Groups and Patients in Breakthrough Series Collaborative Intervention

    OutcomeControl (n = 123)Intervention (n = 62)DifferencePValue
    * Scale between 0 and 10 where 0 is best (no impact) and 10 is worst (large impact).
    † Significant at P <.05.
    General quality of life39402.29
    Asthma-specific quality of life*440.73
    Satisfaction with clinician and lay educator communication396223.02†
    Number of emergency department visits and hospital admissions121.08
    Number of days in bed due to asthma-related illness220.77

Additional Files

  • Tables
  • The Article in Brief

    Background: The purpose of this study was to examine the effectiveness of an asthma care program that involved collaboration between health care organizations around the United States. The program was designed to improve processes for delivering care to asthma patients.
    What This Study Found: A national collaborative asthma care program can significantly improve processes of care. Participating patients are more likely than other patients to attend educational sessions and are more satisfied with communications with their clinicians. They also use more written action plans, goal-setting, peak flow monitoring, and long-term controller medications. There was not an improvement in patients� quality of life or a decrease in hospitalizations for asthma.
    Implications:
    * Other research has shown that improving care processes, attending educational sessions, goal-setting, and peak flow monitoring can improve the health of asthma patients

PreviousNext
Back to top

In this issue

The Annals of Family Medicine: 3 (3)
The Annals of Family Medicine: 3 (3)
Vol. 3, Issue 3
1 May 2005
  • Table of Contents
  • Index by author
  • In Brief
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Annals of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Evaluation of a Quality Improvement Collaborative in Asthma Care: Does it Improve Processes and Outcomes of Care?
(Your Name) has sent you a message from Annals of Family Medicine
(Your Name) thought you would like to see the Annals of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
3 + 4 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Evaluation of a Quality Improvement Collaborative in Asthma Care: Does it Improve Processes and Outcomes of Care?
Matthias Schonlau, Rita Mangione-Smith, Kitty S. Chan, Joan Keesey, Mayde Rosen, Thomas A. Louis, Shin-Yi Wu, Emmett Keeler
The Annals of Family Medicine May 2005, 3 (3) 200-208; DOI: 10.1370/afm.269

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Get Permissions
Share
Evaluation of a Quality Improvement Collaborative in Asthma Care: Does it Improve Processes and Outcomes of Care?
Matthias Schonlau, Rita Mangione-Smith, Kitty S. Chan, Joan Keesey, Mayde Rosen, Thomas A. Louis, Shin-Yi Wu, Emmett Keeler
The Annals of Family Medicine May 2005, 3 (3) 200-208; DOI: 10.1370/afm.269
Reddit logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • Acknowledgments
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Large-Scale Implementation of Collaborative Care Management for Depression and Diabetes and/or Cardiovascular Disease
  • Are quality improvement collaboratives effective? A systematic review
  • Local Learning Collaboratives to Improve Quality for Chronic Kidney Disease (CKD): From Four Regional Practice-based Research Networks (PBRNs)
  • Effectiveness of collaborative improvement: evidence from 27 applications in 12 less-developed and middle-income countries
  • Sustainability of Depression Care Improvements: Success of a Practice Change Improvement Collaborative
  • National quality campaigns: who benefits?
  • Correlations among measures of quality in HIV care in the United States: cross sectional study
  • Developing and implementing new safe practices: voluntary adoption through statewide collaboratives.
  • Evaluation of a Learning Collaborative to Improve the Delivery of Preventive Services by Pediatric Practices
  • In This Issue: Bursting the Bubble on Chronic Disease Management, the Meaning of Healing, PBRN Methods Supplement, and the Annals' 2-Year Anniversary
  • If You've Seen One Quality Improvement Collaborative ...
  • Google Scholar

More in this TOC Section

  • Patient and Clinician Sociodemographics and Sexual History Screening at a Multisite Federally Qualified Health Center: A Mixed Methods Study
  • Declining Participation in Primary Care Quality Improvement Research: A Qualitative Study
  • Erythrocytosis in Gender-Affirming Care With Testosterone
Show more Original Research

Similar Articles

Subjects

  • Domains of illness & health:
    • Acute illness
    • Chronic illness
  • Methods:
    • Quantitative methods
  • Other topics:
    • Quality improvement
    • Organizational / practice change

Content

  • Current Issue
  • Past Issues
  • Past Issues in Brief
  • Multimedia
  • Articles by Type
  • Articles by Subject
  • Supplements
  • Online First
  • Calls for Papers

Info for

  • Authors
  • Reviewers
  • Job Seekers
  • Media

Engage

  • E-mail Alerts
  • e-Letters (Comments)
  • RSS
  • Journal Club
  • Submit a Manuscript
  • Subscribe
  • Family Medicine Careers

About

  • About Us
  • Editorial Board & Staff
  • Sponsoring Organizations
  • Copyrights & Permissions
  • Contact Us
  • eLetter/Comments Policy

© 2023 Annals of Family Medicine