Chest ACCP Education Calendar
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     

Guest Access | Sign In via User Name/Password
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow Two Supplementary Tables
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Article Archive
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (2)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Mularski, R. A.
Right arrow Articles by McGlynn, E. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Mularski, R. A.
Right arrow Articles by McGlynn, E. A.
(Chest. 2006;130:1844-1850.)
© 2006 American College of Chest Physicians

The Quality of Obstructive Lung Disease Care for Adults in the United States as Measured by Adherence to Recommended Processes*

Richard A. Mularski, MD, MSHS, FCCP; Steven M. Asch, MD, MPH; William H. Shrank, MD, MSHS; Eve A. Kerr, MD, MPH; Claude M. Setodji, PhD; John L. Adams, PhD; Joan Keesey and Elizabeth A. McGlynn, PhD

* From the Center for Health Research (Dr. Mularski), Kaiser Permanente Northwest, Portland, OR; VA Greater Los Angeles Healthcare System (Dr. Asch), Los Angeles, CA; RAND Health (Drs. McGlynn, Adams, and Setodji, and Ms. Keesey), Los Angeles, CA; Center for Practice Management and Outcomes Research (Dr. Kerr), VA Ann Arbor Healthcare System, Ann Arbor, MI; and Department of Medicine (Dr. Shrank), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA.

Correspondence to: Richard A. Mularski, MD, MSHS, FCCP, The Center for Health Research, Kaiser Permanente Northwest, 3800 N Interstate, WIN 1060, Portland, OR 97227; e-mail: Richard.Mularski{at}kpchr.org

Abstract

Background: The extent to which patients with obstructive lung disease receive recommended processes of care is largely unknown. We assessed the quality of care delivered to a national sample of the US population.

Methods: We extracted medical records for 2 prior years from consenting participants in a random telephone survey in 12 communities and measured the quality of care provided with 45 explicit, process-based quality indicators for asthma and COPD developed using the modified Delphi expert panel methodology. Multivariate logistic regression evaluated effects of patient demographics, insurance, and other characteristics on the quality of health care.

Results: We identified 2,394 care events among 260 asthma participants and 1,664 events among 169 COPD participants. Overall, participants received 55.2% of recommended care for obstructive lung disease. Asthma patients received 53.5% of recommended care; routine management was better (66.9%) than exacerbation care (47.8%). COPD patients received 58.0% of recommended care but received better exacerbation care (60.4%) than routine care (46.1%). Variation was seen in mode of care with considerable deficits in documenting recommended aspects of medical history (41.4%) and use of diagnostic studies (40.1%). Modeling demonstrated modest variation between racial groups, geographic areas, insurance types, and other characteristics.

Conclusions: Americans with obstructive lung disease received only 55% of recommended care. The deficits and variability in the quality of care for obstructive lung disease present ample opportunity for quality improvement. Future endeavors should assess reasons for low adherence to recommended processes of care and assess barriers in delivery of care.

Key Words: asthma • pulmonary disease, chronic obstructive • quality indicators, health care • quality of health care • therapeutics, standards

Obstructive lung disease affects an estimated 12 to 50 million Americans, with estimates that vary by data source; 8.5% of the population report having lung diseases compared to 6.8% based on lung function data and 3 to 5% from administrative or medical record review data.1234 Chronic lower respiratory tract disease is the fourth-leading cause of death in the nation, is increasing in prevalence and mortality worldwide, and causes significant human suffering and decreased quality of life.235 Appropriate disease management has been demonstrated to decrease the morbidity and mortality associated with asthma and COPD, and multiple guideline statements have set standards for the quality of care for patients with obstructive lung disease.236789101112 However, the extent to which patients receive recommended processes of health care for obstructive lung disease is largely unknown.

Although previous studies have documented quality deficits for obstructive lung disease, they are limited by the population studied and the scope of evaluation. Most studies have assessed a particular aspect of COPD or asthma care,131415 evaluated a small number of indicators of quality in a small geographic area,161718 evaluated persons with a particular type of insurance coverage or relied on administrative data sets,141920212223242526 relied on provider or patient self-report or survey,27282930 or focused on quality improvement with a pre-post design.293031 The studies141922293233 that explored the process of health care delivered by providers mostly relied on administrative databases.

Our objective was to measure quality across the continuum of care delivered to an adult sample of the US population with obstructive lung disease. We report results from medical record review in the Community Quality Index, a collateral study of the Community Tracking Survey,3435 assessing the extent to which recommended processes of health care are delivered for obstructive lung disease.

Methods and Materials

Participants were sampled from 12 communities randomly selected to represent the national population living in metropolitan areas with > 200,000 people in 1995.35 Between October 1998 and August 2000, we obtained written permission from adult participants to obtain copies of medical records from all providers seen in the previous 2 years. Of the 20,158 persons in the starting sample, 2,091 persons (10%) were ineligible because they had moved out of the area, died, or became incapacitated. Of the 17,937 adults who were eligible for the study, 13,275 patients (74%) completed the telephone survey. 12,412 patients (69%) reported that they had at least one health-care visit and 863 patients (7%) had no visits in the 2-year study period. Among those with a visit, 10,404 patients (84%) verbally agreed to provide access to their medical records and 7,528 patients (61%) returned signed consent forms. We obtained at least one record for 6,712 consenting respondents (89%). Patients were included in this analysis if the provider documented asthma or COPD and if care events met criteria for one or more quality indicators for process of care provided for these disorders. No exclusions were made on the basis of site or system of care in this population study.

The indicators of quality used were derived from the RAND Quality Assessment Tools System.3536 Indicators were drawn from established national guidelines and the medical literature. Using the modified Delphi method, a nine-member panel of experts nominated by the relevant specialty societies reviewed the evidence and rated the validity of proposed indicators.3738 The quality indicators and their characteristics are described in the on-line data supplement (supplemental Table 1); 25 indicators evaluated asthma care (9 for routine care and 16 for exacerbation management) and 20 indicators evaluated COPD care (8 for routine and 12 for exacerbation). A subset of indicators was assembled for a sensitivity analysis based on recent evidence-based guidelines to explore whether quality assessments would be significantly different based on updated data on recommended care.

Twenty trained registered nurses who underwent a 2-week training program used computer-assisted abstraction software to manually abstract data from medical records. Average interrater reliability was assessed using a 4% sample of total records for three aspects of agreement and found to be substantial with the following {kappa} statistics: whether the patient had a particular condition ({kappa} = 0.83), whether the patient was eligible for an indicator ({kappa} = 0.76), and whether the patient received indicated care ({kappa} = 0.80).

The unit of analysis is a care event defined as any part of a health-care encounter that constitutes care provided for obstructive lung disease and meets a denominator criteria for an operationalized quality indicator. For each care event quality assessment, we specified the combination of variables necessary to determine whether each respondent was eligible for (yes/no) and received (yes/no or proportion) the recommended care. To produce aggregate scores, we divided all instances in which recommended care was delivered for a given eligibility event by the number of eligibility events within the category. The aggregate scores can be interpreted as the proportion of recommended care that is received. We used the bootstrap method to directly estimate SEs for aggregate scores and for adjusted rates.

Multivariate logistic regression was used to evaluate the effect of patient demographics, insurance, self-reported health status, chronic conditions, and community on quality of health care delivered for obstructive lung disease. Adjusted rates obtained from multivariate logistic modeling assess patient, insurance, and community effects on obstructive lung disease quality. We adjusted the scores for nonresponse, weighting participants to be representative of the population from which they were drawn using the Community Tracking Survey data. Since patients were eligible for multiple indicators, all results were adjusted for clustering at the patient level. The study was approved by the RAND Institutional Review Board.

Results

We obtained 84% of the total records from consented care visits. Of the 6,712 adult patients in the study, 260 patients were eligible for at least one asthma indicator (2,394 eligible events) and 169 adults were eligible for at least one COPD indicator (1,664 eligible events). Of patients eligible for at least one indicator, the average patient was eligible for 10.3 indicators (SD, 12.0). Compared to patients with COPD, patients with asthma were younger at the time of study enrollment; more likely to be female and better educated; had higher income; were less likely to be insured through Medicare and more likely to have health maintenance organization (HMO) insurance coverage; were less likely to report being in fair/poor health; were less likely to be hospitalized; and had fewer chronic disease diagnoses (p < 0.05) [Table 1 ].


View this table:
[in this window]
[in a new window]

 
Table 1. Patient Characteristics*

 
Overall, participants received 55.2% (95% confidence interval [CI], 51.2 to 59.1%) of recommended care for obstructive lung disease (Table 2 ). In sensitivity analysis, patients received 52.0% (95% CI, 48.7 to 55.2%; 3,483 events) of care based on the subset of indicators most supported by recent guidelines; this quality level was not statistically different than the complete analysis at the {alpha} = 0.05 level. The associations in the restricted models remained in the same directions, but due to sample size, a few of the relationships were without statistical significance.


View this table:
[in this window]
[in a new window]

 
Table 2. Quality of Health Care Delivered for Obstructive Lung Disease Patients*

 
Patient gender, age, self-reported health status, and utilization were not related to quality scores (see supplemental Table 2 for complete model). Controlling for patient demographics, insurance, self-reported health status, chronic conditions, and geographic location, African Americans received better care than all other race categories (Table 3 ). Lower-income participants received lower quality of care, and enrollees in HMOs received lower quality care than those in Medicaid. We identified significant variation in the quality of care between communities with scores ranging from 38 to 59% for asthma and from 40 to 77% for COPD.


View this table:
[in this window]
[in a new window]

 
Table 3. Significant Associations for Adjusted Quality of Care Rates by Patient Characteristics*

 
Participants with asthma received 53.5% (95% CI, 49.8 to 57.3%) of recommended care (Table 2). Asthma patients received better routine care (67%) than exacerbation care (48%) [p < 0.05]. Performance was lowest for documentation of history (34%), use of lab and radiologic studies (40%) and specific interventions at time of encounter (11%). Sensitivity analysis restricted to indicators consistent with National Asthma Education and Prevention Program guidelines9 revealed a quality score of 51.4% (95% CI, 48.8 to 54.0%; 2,206 events) that was not statistically different than the complete analysis at the {alpha} = 0.05 level.

Participants with COPD received 58.0% (95% CI, 51.7 to 64.3%) of recommended care (Table 2). In contrast to asthma, COPD patients trended toward better exacerbation care (60% of recommended care) than routine care (46%). Adherence to recommended medication prescribing was lower in COPD than in asthma (56%, compared to 81% of recommended care received). Sensitivity analysis restricted to indicators consistent with Global Initiative for Chronic Obstructive Lung Disease23 and American Thoracic Society/European Respiratory Society78 guidelines revealed a quality score 53.1% (95% CI, 46.3 to 60.0%; 1,277 events) that was not statistically different than the complete analysis at the {alpha} = 0.05 level.

Discussion

Overall, participants in a national sample of obstructive lung disease patients received approximately 55% of recommended care processes. These deficits have important implications for the health of Americans with obstructive lung disease. These data provide a measure of the quantity of the problem of poor quality of care received by the chronically ill,39 and emphasize that patients who suffer from common forms of lung disease are in no way better off than Americans with other conditions.35

Quality deficits were particularly large in certain areas of care. We identified disparity between routine care in asthma (67%) and exacerbation management (48%). This finding suggests that national efforts over the last 2 decades in the United States to improve the routine care for asthma have been successful but that deficits in exacerbation management remain. Additional investigation of exacerbation care for asthma and comprehensive quality improvement is needed. In contrast, in COPD, we found worse routine care (46%). This quality shortfall, especially with increasing evidence for benefit through chronic routine management,237840 suggests that increased focus on routine management of COPD care is warranted.

We also identified variation in quality by mode (how the care was administered). History taking had lower scores than other modes of care, with obstructive lung disease patients receiving 41%, and asthma care receiving 34% of recommended care. History taking is time consuming, and a portion of this deficit may be due to increasing demands on providers’ time. Also noteworthy, the use of laboratory and radiologic studies in evaluation and management of both asthma and COPD was documented in only 40% of the instances in which it was recommended. Failure to assess lung function by peak flow and/or pulmonary function testing accounts for most of the diagnostic shortfalls. Guidelines emphasize functional testing,234 and our data suggest that this should be a focus of quality improvement efforts.

Guidelines also underline the importance of education and involving patients in the management of chronic obstructive lung diseases, consistent with common models of quality improvement in chronic disease,234784142 yet we found shortfalls in this area as well. We found particularly poor scores for the use of spacers with metered-dose inhalers (11% for asthma and 32% for COPD).

In our sample of patients with at least some access to care, different sociodemographic subgroups had small differences in levels of quality. After adjusting for other covariates, African Americans received better overall care than all other race categories (67%), and Latinos with COPD received worse care (37%). Most prior published studies using indicators such as specialist referral and follow-up have demonstrated worse obstructive lung disease care for racial minorities,23 although one study in veterans20 did not find differences in processes of care between races. The racial variation we identified may be different from prior study,43 in that we were able to control for a wider range of sociodemographic, health status, and utilization covariates. Also, disparities in prior studies may be partially explained by access limitations, whereas our evaluation included only participants who received at least some medical care. Small variation was also seen between different insurance types with Medicaid patients achieving statistically higher quality of care than HMO enrollees. The variation between sociodemographic groups is dwarfed by the overall quality deficits; further exploration of the magnitude and reasons for variation requires different methodologies.

Variation by geographic location in the quality of health care has been documented in many prior studies44 and suggest fertile ground for quality improvement and further research. We demonstrated regional variation across the 12 communities with quality scores ranging from 46 to 63% overall. The better geographic regions for asthma care were generally the better regions for COPD care. However, when examined with the larger lens of our previous analysis across 30 health conditions, overall effectiveness of care was not uniformly better in any region.45 Participants in the lowest income bracket, even after controlling for insurance status and other demographic, community, and participant characteristics, received lower quality of care and warrant targeted interventions. In regards to the differences in quality by characteristics or region or demographics, we emphasize that variation between groups is generally much less than the overall deficits we documented in the quality of care.

Our study has a number of limitations. First, the study relied on medical record review for quality assessment, and some of the quality shortfall may be due to underdocumentation. Our indicators were developed with explicit instructions to the Delphi panel participants to include the importance of chart documentation as a criterion for rating the validity indicators. Previous studies464748 have found that chart abstraction underestimates quality by at most 10% as compared to direct observation, and may even overestimate quality in some instances. Although underdocumentation may explain some of our findings, it is hard to explain the considerable quality shortfalls we identified for obstructive lung disease purely on the basis of poor documentation. Second, our response rate of 37% of all those eligible introduces the potential for bias. The low prevalence of obstructive lung disease in our sample (3.9% for asthma and 2.5% for COPD) may reflect a younger population relative to national demographics and the reliance on provider diagnosis for inclusion. Our 2-year sampling frame may also lead to underrepresentation of patients with milder disease and infrequent health-care visits. The direction of bias from these limitations is unclear, but as our sampling frame favored users of the health-care system, our sample may be biased toward underestimation of quality deficits by missing underuse of recommended medical care.

Our study does not evaluate more complex quality standards, nor does it evaluate care based on recent innovations or the changing science in the management of obstructive lung disease. If we had been able to evaluate complex care processes or care indicated by recent innovations, our estimate of quality would likely have been even lower. Despite the rigor of the modified Delphi panel, indicators were based mostly on the available evidence base of the 1990s, which relied heavily on descriptive and expert opinion levels of evidence. However, our sensitivity analysis of the most updated evidence base suggests that most indicators remain relevant and the quality of care evaluation remained robust.

While it is difficult to know the extent of the excess morbidity and mortality that the deficits we documented for obstructive lung disease might engender, we can estimate excess mortality that might result from failure to provide care specified in individual indicators. For example, only 32% of COPD patients with baseline hypoxia received home oxygen for routine management. From estimates of the numbers of hypoxic patients in the United States and the mortality reduction demonstrated from the Nocturnal Oxygen Therapy Trial, 27,000 to 54,000 annual deaths may have been reduced by appropriate oxygen use.1411 Similarly, only 56% of hospitalized asthmatic patients received systemic steroids, which may lead to excess mortality estimates that approach 2,000 per year.12

In summary, Americans with asthma and COPD received approximately 55% of recommended care in our evaluation. The deficits and variability in processes of care for patients with obstructive lung disease present ample opportunity for improvement in obstructive lung disease management. To begin to improve the deficits identified in this study, broad-based and widely available evaluation of health-care processes is required. The reasons for lack of adherence to recommended care processes may relate to the complexity and diversity of the health care system.35444950 Our study does not directly suggest strategies to improve care, but these may include increasing the use of information technology, increasing quality improvement and continuous assessment, better chronic disease management, improved care coordination, establishing performance measures with active monitoring, and linking quality performance to reimbursement, among others.4950 Whatever strategies are employed, national efforts combined with local innovation aimed at system change will be required to realize the potential of translating novel data from basic science and clinical trials into comprehensive chronic disease management and improved patient care and outcomes. The data from this study should be a resounding call for quality improvement efforts and further understanding of the deficits in processes of care for obstructive lung disease.

Acknowledgements

We are grateful to Brett Munjas and Liisa Hiatt who contributed to the completion of this manuscript, and to Dr. Gordon Rubenfeld, Dr. Sonia Buist, and Dr. Karen Mularski who generously provided critiques and comments.

Footnotes

Abbreviations: CI = confidence interval; HMO = health maintenance organization

This study was supported by Robert Wood Johnson Foundation, Veterans Health Administration, California Healthcare Foundation, Health Care Financing Administration, and Agency for Healthcare Research and Quality.

This work was performed at RAND Health.

The authors have no conflicts of interest to disclose.

Received for publication April 13, 2006. Accepted for publication June 1, 2006.

References

  1. Mannino, DM, Gagon, RC, Petty, TL, et al (2000) Obstructive lung disease and low lung function in Adults in the United States: data from the National Health and Nutrition Examination Survey, 1988–1994. Arch Intern Med 160,1683-1689[Abstract/Free Full Text]
  2. Pauwels, RA, Buist, AS, Calverly, PM, et al for the GOLD Scientific Committee. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) Workshop summary. Am J Respir Crit Care Med 2001;163,1256-1276.3[Free Full Text]
  3. National Heart, Lung, and Blood Institute & World Health Organization April 1998 Workshop Panel. Global Initiative for Chronic Obstructive Lung Disease: Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease, executive summary updated 2005. Available at: http://www.goldcopd.org/Guidelineitem.asp?l1=2&l2=1&intId=996. Accessed September 4, 2006
  4. National Heart, Lung, and Blood Institute.. Morbidity and mortality: chartbook on cardiovascular, lung and blood diseases. 2004 U.S. Department of Health and Human Services, Public Health Service, National Institute of Health. Bethesda, MD:
  5. Claessens, MT, Lynn, J, Zhong, Z, et al Dying with lung cancer or chronic obstructive pulmonary disease: insights from SUPPORT. J Am Geriatr Soc 2000;48(5 Suppl),S146-S153
  6. Snow, V, Lascher, S, Mottur-Pilson, C, for the Joint Expert Panel on Chronic Obstructive Pulmonary Disease of the American College of Chest Physicians and the American College of Physicians-American Society of Internal Medicine.. Evidence base for management of acute exacerbations of chronic obstructive pulmonary disease. Ann Intern Med 2001;134,595-599[Free Full Text]
  7. Celli, BR MacNee W. Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper. Eur Respir J 2004;23,932-946[Free Full Text]
  8. American Thoracic Society/European Respiratory Society Task Force. Standards for the diagnosis and management of patients with COPD: version 1.2. New York, NY: American Thoracic Society; 2004. Available at: http://www.thoracic.org/copd. Accessed September 4, 2006
  9. National Asthma Education and Prevention Program, National Heart, Lung, and Blood Institute.. Expert panel report: guidelines for the diagnosis and management of asthma; update on selected topics 2002. 2003 National Institute of Health. Bethesda, MD: Publication No. 02–5074
  10. National Asthma Education and Prevention Program, National Heart, Lung, and Blood Institute.. Expert panel report 2: guidelines for the diagnosis and management of asthma. 1997 National Institute of Health. Bethesda, MD: publication No. 97–4051
  11. Nocturnal Oxygen Therapy Trial Group.. Continuous or nocturnal oxygen therapy in hypoxemic chronic obstructive pulmonary disease: a clinical trial. Ann Intern Med 1980;93,391-398[CrossRef][ISI][Medline]
  12. Abramson, MJ, Bailey, MJ, Couper, FJ, et al and the Victorian Asthma Mortality Study Group. Are asthma medications and management related to deaths from asthma? Am J Respir Crit Care Med 2001;163,12-18[Abstract/Free Full Text]
  13. Ferris, TG, Blumenthal, D, Woodruff, PG, MARC Investigators.. Insurance and quality of care for adults with acute asthma. J Gen Intern Med 2002;17,905-913[CrossRef][ISI][Medline]
  14. Asch, SM, Sloss, EM, Hogan, C, et al Measuring underuse of necessary care among elderly Medicare beneficiaries using inpatient and outpatient claims. JAMA 2000;284,2325-2333[Abstract/Free Full Text]
  15. Payne, SM, Donahue, C, Rappo, P, et al Variations in pediatric pneumonia and bronchitis/asthma admission rates: is appropriateness a factor? Arch Pediatr Adolesc Med 1995;149,162-169[Abstract]
  16. Angus, RM, Murray, S, Kay, JW, et al Management of chronic airflow obstruction: differences in practice between respiratory and general physicians. Respir Med 1994;88,493-497[CrossRef][ISI][Medline]
  17. Neill, AM, Epton, MJ, Martin, IR, et al An audit of the assessment and management of patients admitted to Christchurch Hospital with chronic obstructive pulmonary disease. N Zealand Med J 1994;107,365-367
  18. Jimenez, PA, Fernandez, GJ, Hidalgo, RL, et al Quality of inpatient care and risk of early readmission in acute exacerbation of COPD [in Spanish]. Anales de Medicina Interna 2003;20,340-346
  19. Starfield, B, Powe, NR, Weiner, JR, et al Costs vs quality in different types of primary care settings. JAMA 1994;272,1903-1908[Abstract]
  20. Gordon, HS, Johnson, ML, Ashton, CM Process of care in Hispanic, black and white VA beneficiaries. Med Care 2002;40,824-833[CrossRef][ISI][Medline]
  21. Schatz, M, Nakahiro, R, Crawford, W, et al Asthma quality-of-care markers using administrative data. Chest 2005;128,1968-1973
  22. Feifer, RA, Aubert, R, Verbrugge, RR, et al Disease management opportunities for chronic obstructive pulmonary disease: gaps between guidelines and current practice. Dis Manag 2002;5,143-156[CrossRef]
  23. Shields, AE, Comstock, C, Weiss, KB Variations in asthma care by race/ethnicity among children enrolled in a stat Medicaid program. Pediatrics 2004;113,496-504[Abstract/Free Full Text]
  24. Geraci, JM, Ashton, CM, Kuykendall, DH, et al The association of quality of care and occurrence of in-hospital, treatment-related complications. Med Care 1999;37,140-148[CrossRef][ISI][Medline]
  25. Adams, RJ, Weiss, ST, Fuhlbrigge, A How and by whom care is delivered influences anti-inflammatory use in asthma: results of a national population survey. J Allergy Clin Immunol 2003;112,445-450[CrossRef][ISI][Medline]
  26. Roberts, CM, Ryland, I, Lowe, D, on behalf of the Audit Subcommittee of the Standards of Care Committee of the British thoracic Society and the Clinical Effectiveness and Evaluation Unit at the Royal College of Physicians.. et al Audit of acute admissions of COPD: standards of care and management in the hospital setting. Eur Respir J 2001;17,343-349[Abstract/Free Full Text]
  27. Wu, AE, Young, Y, Skinner, EA, et al Quality of care and outcomes of adults with asthma treated by specialists and generalists in managed care. Arch Intern Med 2001;161,2554-2560[Abstract/Free Full Text]
  28. Janson, S, Weiss, K A national survey of asthma knowledge and practices among specialists and primary care physicians. J Asthma 2004;41,343-348[CrossRef][ISI][Medline]
  29. Chee, CB, Wang, SY, Poh, SC Department audit of inpatient management of asthma [abstract]. Singapore Med J 1996;4,A340
  30. Trakada, G, Spiropoulos, K Chronic obstructive pulmonary disease management among primary healthcare physicians [abstract]. Monaldi Arch Chest Dis 2000;55,A201
  31. Jans, MP, Schellevis, FG, Le Coq, EM, et al Health outcomes of asthma and COPD patients: the evaluation of a project to implement guidelines in general practice. Int J Qual Health Care 2001;13,17-25[Abstract/Free Full Text]
  32. National Committee for Quality Assurance. The state of health care quality, 2002: use of appropriate medications for people with asthma. Washington, DC: National Committee for Quality Assurance (serial online), 2002. Available at: http://www.ncqa.org/sohc2002/SOHC_2002_ASTHMA.html. Accessed September 4, 2006
  33. Schuster, MA, McGlynn, EA, Brook, RH How good is the quality of health care in the United States? Milbank Q 1998;76,517-562[CrossRef][ISI][Medline]
  34. Kemper, P, Blumenthal, D, Corrigan, JM, et al The design of the Community Tracking Study: a longitudinal study of health system change and its effects on people. Inquiry 1996;33,195-206[ISI][Medline]
  35. McGlynn, EA, Asch, SM, Adams, J, et al The quality of health care delivered to adults in the United States. N Engl J Med 2003;348,2635-2645[Abstract/Free Full Text]
  36. Kerr, EA, Asch, SM, Hamilton, EG, et al Quality of care for cardiopulmonary conditions: a review of the literature and quality indicators. 2000 RAND. Santa Monica, CA:
  37. Malin, JL, Asch, SM, Kerr, EA, et al Evaluating the quality of cancer care: development of cancer quality indicators for a global quality assessment tool. Cancer 2000;88,701-707[CrossRef][ISI][Medline]
  38. Brook, RH The RAND/UCLA appropriateness method. McCormick, KA Moore, SR Siegel, RA eds. Clinical practice guideline development: methodology perspectives 1994,59-70 Agency for Health Care Policy and Research. Rockville, MD: AHCPR publication No. 95–0009
  39. Institute of Medicine.. Crossing the quality chasm: a new health system for the 21st century. 2001 National Academy Press. Washington, DC:
  40. Ramsey, SD Suboptimal medical therapy in COPD: exploring the causes and consequences. Chest 2000;117,33S-37S
  41. Bodenheimer, T, Wagner, EH, Grumbach, K Improving primary care for patients with chronic illness. JAMA 2002;288,1775-1779[Abstract/Free Full Text]
  42. Bodenheimer, T, Wagner, EH, Grumbach, K Improving primary care for patients with chronic illness: the chronic care model, part 2. JAMA 2002;288,1909-1914[Abstract/Free Full Text]
  43. Asch, SM, Kerr, EA, Keesey, J, et al Who is at greatest risk for receiving poor quality health care. N Engl J Med 2006;354,1147-1156[Abstract/Free Full Text]
  44. Center for the Evaluative Clinical Sciences at Dartmouth Medical School. The Dartmouth atlas of health care (serial online 1999). Available at: http://www.dartmouthatlas.org. Accessed September 4, 2006
  45. Kerr, EA, McGlynn, EA, Adams, J, et al Profiling the quality of care in twelve communities: results from the CQI study. Health Aff 2004;23,247-256[Abstract/Free Full Text]
  46. Peabody, JW, Luck, J, Glassman, P, et al Comparison of vignettes, standardized patients, and chart abstraction: a prospective validation study of 3 methods for measuring quality. JAMA 2000;283,1715-1722[Abstract/Free Full Text]
  47. Luck, J, Peabody, JW Using standardised patients to measure physicians’ practice: validation study using audio recordings. BMJ 2002;325,679-682[Abstract/Free Full Text]
  48. Dresselhaus, TR, Luck, J, Peabody, JW The ethical problem of false positives: a prospective evaluation of physician reporting in the medical record. J Med Ethics 2002;28,291-294[Abstract/Free Full Text]
  49. Asch, SM, McGlynn, EA, Hogan, MM, et al Comparison of quality of care for patients in the veteran’s health administration and patients in a national sample. Ann Intern Med 2004;141,938-945[Abstract/Free Full Text]
  50. Jha, AK, Li, Z, Orav, EJ, et al Care in U.S. hospitals: the hospital quality alliance program. N Engl J Med 2005;353,265-274[Abstract/Free Full Text]



This article has been cited by other articles:


Home page
ChestHome page
M. J. Joo, T. A. Lee, and K. B. Weiss
Geographic Variation of Spirometry Use in Newly Diagnosed COPD
Chest, July 1, 2008; 134(1): 38 - 45.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow Two Supplementary Tables
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Article Archive
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (2)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Mularski, R. A.
Right arrow Articles by McGlynn, E. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Mularski, R. A.
Right arrow Articles by McGlynn, E. A.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS