The Chronic Care Model: congruency and predictors among primary care patients with osteoarthritis

Objective: The Chronic Care Model (CCM) and the 5A approach have achieved widespread acceptance and reflect the core elements of patient-centred care in chronic diseases, including osteoarthritis (OA). The aim was to assess to what extent current care for patients with osteoarthritis accords with the CCM in Germany and to reveal possible predictors to assess whether certain patients are more likely to receive care complying with the CCM than others. Methods: Cross-sectional observational study, addressing 1250 patients from 75 primary care practices in Germany. 1021 (81.7%) of the administered 1250 questionnaires were returned. The Patient Assessment of Chronic Illness Care (PACIC-5A) was used to assess accordance to the CCM and the 5A-approach. The impact of OA was assessed by means of the Arthritis Impact Measurement Scale (AIMS2-SF); the Patient Health Questionnaire (PHQ-9) was used to assess depression symptoms. Two stepwise multiple linear regression models with the PACIC sum score and the 5A score as dependents were performed to reveal predictors of a high accordance to the CCM and to the 5A approach, respectively. Results: With a mean (SD) of 2.79 (0.83) in men and 2.67 (0.89) in women (p for difference = 0.89), the PACIC sum score was notably lower than in previous studies conducted in health maintenance organisation settings in the US. The PACIC score was associated with a higher educational level (β = 0.421; p = 0.008) and younger age (β = −0.319; p = 0.016); the 5A score was predicted by educational level (β = 0.344; p = 0.002), age (β = −0.386; p = 0.004) and the PHQ-9 score (β = −0.288; p = 0.005). Conclusions: Younger and better educated patients achieve higher scores on the PACIC score, indicating that their care accords to a higher degree with the CCM. Whether this reflects differences in physician behaviour toward different patient groups or rather different demands of these patient groups cannot be concluded from the presented data. Further research is needed to confirm our results and assess possible implications for implementing the Chronic Care Model in primary care.

[1]  T. Rosemann,et al.  Evaluation of a culturally adapted German version of the Patient Assessment of Chronic Illness Care (PACIC 5A) questionnaire in a sample of osteoarthritis patients. , 2007, Journal of evaluation in clinical practice.

[2]  Jacqueline A Pugh,et al.  Systematic review of the chronic care model in chronic obstructive pulmonary disease prevention and management. , 2007, Archives of internal medicine.

[3]  E. Keeler,et al.  Can a Chronic Care Model Collaborative Reduce Heart Disease Risk in Patients with Diabetes? , 2007, Journal of General Internal Medicine.

[4]  R. Glasgow,et al.  Use of Chronic Care Model Elements Is Associated With Higher-Quality Care for Diabetes , 2007, The Annals of Family Medicine.

[5]  M. Wensing,et al.  Problems and needs for improving primary care of osteoarthritis patients: the views of patients, general practitioners and practice nurses , 2006, BMC musculoskeletal disorders.

[6]  R. Schaefert,et al.  How can the practice nurse be more involved in the care of the chronically ill? The perspectives of GPs, patients and practice nurses , 2006, BMC family practice.

[7]  U. Ellert,et al.  [Measuring health-related quality of life with the SF-8. Normal sample of the German population]. , 2005, Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz.

[8]  U. Ellert,et al.  Messung der gesundheitsbezogenen Lebensqualität mit dem SF-8 , 2005, Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz.

[9]  R. Glasgow,et al.  Use of the Patient Assessment of Chronic Illness Care (PACIC) with diabetic patients: relationship to patient characteristics, receipt of care, and self-management. , 2005, Diabetes care.

[10]  M. Wensing,et al.  Evaluation and cultural adaptation of a German version of the AIMS2-SF questionnaire (German AIMS2-SF). , 2005, Rheumatology.

[11]  Sally C Morton,et al.  A meta-analysis of interventions to improve care for chronic illnesses. , 2005, The American journal of managed care.

[12]  M. Wensing,et al.  Rationale, design and conduct of a comprehensive evaluation of a primary care based intervention to improve the quality of life of osteoarthritis patients. The PraxArt-project: a cluster randomized controlled trial [ISRCTN87252339] , 2005, BMC public health.

[13]  Sarah M. Greene,et al.  Development and Validation of the Patient Assessment of Chronic Illness Care (PACIC) , 2005, Medical care.

[14]  B. Löwe,et al.  Diagnosing ICD-10 Depressive Episodes: Superior Criterion Validity of the Patient Health Questionnaire , 2004, Psychotherapy and Psychosomatics.

[15]  M. Goldstein,et al.  Multiple behavioral risk factor interventions in primary care. Summary of research evidence. , 2004, American journal of preventive medicine.

[16]  E H Wagner,et al.  Improving the quality of health care for chronic conditions , 2004, Quality and Safety in Health Care.

[17]  C. Lenfant Shattuck lecture--clinical research to clinical practice--lost in translation? , 2003, The New England journal of medicine.

[18]  Thomas Bodenheimer,et al.  Improving primary care for patients with chronic illness: the chronic care model, Part 2. , 2002, JAMA.

[19]  J. Lynch,et al.  Epidemiologic evidence for the relation between socioeconomic status and depression, obesity, and diabetes. , 2002, Journal of psychosomatic research.

[20]  R. Glasgow,et al.  Assessment of chronic illness care (ACIC): a practical tool to measure quality improvement. , 2002, Health services research.

[21]  Brian T. Austin,et al.  Improving chronic illness care: translating evidence into action. , 2001, Health affairs.

[22]  E H Wagner,et al.  Quality improvement in chronic illness care: a collaborative approach. , 2001, The Joint Commission journal on quality improvement.

[23]  M. Mccarthy Blood factors linked to heart disease risk in patients with diabetes , 2000, The Lancet.

[24]  Nick Steen,et al.  Sample Size Calculations for Cluster Randomised Trials , 2000, Journal of health services research & policy.

[25]  R. Spitzer,et al.  Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. , 1999, JAMA.

[26]  E H Wagner,et al.  Chronic disease management: what will it take to improve care for chronic illness? , 1998, Effective clinical practice : ECP.

[27]  Schoenman Ja Impact of the Balanced Budget Act of 1997 on Medicare risk plan payment rates for rural areas. , 1998 .

[28]  J. Lynch,et al.  Cumulative impact of sustained economic hardship on physical, cognitive, psychological, and social functioning. , 1997, The New England journal of medicine.

[29]  F. Guillemin,et al.  The AIMS2-SF: a short form of the Arthritis Impact Measurement Scales 2. French Quality of Life in Rheumatology Group. , 1997, Arthritis and rheumatism.

[30]  R. Moskowitz,et al.  Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association. , 1986, Arthritis and rheumatism.

[31]  V. Preedy,et al.  Patient Health Questionnaire , 2010 .

[32]  J. Gensichen,et al.  [New perspectives in the primary care of the chronically ill--against the "tyranny of the urgent". Part 2: The chronic care model und case management as the basis of a forward-looking approach to primary care]. , 2006, Zeitschrift fur arztliche Fortbildung und Qualitatssicherung.

[33]  H. Raspe,et al.  [The future is chronic: German primary care and the Chronic Care Model--The comprehensive principles in the proactive treatment of the chronically ill]. , 2006, Zeitschrift fur arztliche Fortbildung und Qualitatssicherung.

[34]  M. Wensing,et al.  Rationale , design and conduct of a comprehensive evaluation of a primary care based intervention to improve the quality of life of osteoarthritis patients . The PraxArt-project : a cluster randomized controlled trial [ ISRCTN 87252339 ] , 2005 .

[35]  J. Grimshaw,et al.  Sample size calculations for cluster randomised trials. Changing Professional Practice in Europe Group (EU BIOMED II Concerted Action). , 2000, Journal of health services research & policy.

[36]  T D Cooke,et al.  The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hip. , 1991, Arthritis and rheumatism.