Skip to main content
Download PDF

Optimizing care in osteoporosis: The Canadian quality circle project

BMC Musculoskeletal Disorders volume 9, Article number: 130 (2008) Cite this article

Abstract

Background

While the Osteoporosis Canada 2002 Canadian guidelines provided evidence based strategies in preventing, diagnosing, and managing this condition, publication and distribution of guidelines have not, in and of themselves, been shown to alter physicians clinical approaches. We hypothesize that primary care physicians enrolled in the Quality Circle project would change their patient management of osteoporosis in terms of awareness of osteoporosis risk factors and bone mineral density testing in accordance with the guidelines.

Methods

The project consisted of five Quality Circle phases that included: 1) Training & Baseline Data Collection, 2) First Educational Intervention & First Follow-Up Data Collection 3) First Strategy Implementation Session, 4) Final Educational Intervention & Final Follow-up Data Collection, and 5) Final Strategy Implementation Session. A total of 340 circle members formed 34 quality circles and participated in the study. The generalized estimating equations approach was used to model physician awareness of risk factors for osteoporosis and appropriate utilization of bone mineral density testing pre and post educational intervention (first year of the study). Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated.

Results

After the 1st year of the study, physicians' certainty of their patients' risk factor status increased. Certainty varied from an OR of 1.4 (95% CI: 1.1, 1.8) for prior vertebral fracture status to 6.3 (95% CI: 2.3, 17.9) for prior hip fracture status. Furthermore, bone mineral density testing increased in high risk as compared with low risk patients (OR: 1.4; 95% CI: 1.2, 1.7).

Conclusion

Quality Circle methodology was successful in increasing both physicians' awareness of osteoporosis risk factors and appropriate bone mineral density testing in accordance with the 2002 Canadian guidelines.

Peer Review reports

Background

Approximately one in four women have osteoporosis and a 50-year old white woman has a remaining lifetime risk of 40% for sustaining a hip, vertebra or a wrist fracture [1, 2]. These fractures have physical, psychological, social and economic consequences that can profoundly influence health related quality of life [3–7]. With the expectation that the aging population will increase in subsequent years [8], it is predicted that increased rates of osteoporosis will also occur making it a major public health concern worldwide. Given the millions of women who have or will develop osteoporosis, the detection of the disease must become as familiar to family physicians as the detection of hypertension and diabetes.

Despite the high prevalence of this disease, there is evidence that patients at high risk of fracture due to osteoporosis are not being diagnosed or treated with appropriate therapies [9–12]. While the Osteoporosis Canada 2002 Canadian guidelines [9] provided evidence based strategies in managing this condition, publication and distribution of guidelines have not, in and of themselves, been shown to alter physicians' clinical approaches [13]. Therefore, a gap exists between care delivery and best known practices in the management of osteoporosis. The Canadian Quality Circle (CQC) Project, a multifaceted integrated disease management process strategy utilizing reflective learning approaches [14, 15] was developed and implemented to reduce this care gap. We hypothesize that primary care physicians' perceived awareness of osteoporosis risk factors in their patients and bone mineral density testing would change in accordance with the Osteoporosis Canada guidelines as a result of their enrollment in the study.

Methods

Physician recruitment

All participating physicians provided written informed consent. The study was approved by Health Research Ethics Boards across Canada. The study was sponsored by research grants from the Ontario College of Family Physicians and Alliance for Better Bone Health (Procter & Gamble Pharmaceuticals Canada Inc. and Sanofi-Aventis Pharma Inc.).

Facilitators

A physician-facilitator was selected for each Quality Circle and trained to facilitate the management of the circle. Facilitators were local family physicians recruited to lead and initiate discussion at study meetings and were chosen because of their skills in small group facilitation and involvement in continuing professional development and were selected by the study's steering committee.

Osteoporosis specialist

An osteoporosis specialist was assigned to each quality circle. The specialist was recruited on the recommendation provided by the facilitator from the facilitator's local referral network. The role of the osteoporosis specialist was to attend each Quality Circle meeting to provide assistance in addressing clinical matters.

Members

Circle members were family physicians selected from specific geographical regions across Canada derived from a list developed by the facilitator of each Quality Circle, supplemented with physicians' names from the provincial College of Family Physician's membership list. All potential members received a written introductory letter from the local circle facilitator and were invited to participate in the study. A maximum of 15 physicians in each geographical area were enrolled into each circle in the study. Family physicians are defined as physicians who take professional responsibility for the comprehensive care of unselected patients with undifferentiated problems and are committed to the person regardless of gender, age, or illness [16].

Overview of project phases

The overall project consisted of five Quality Circle phases. Members committed to the first year of the project, which consist of Quality Circle phases one to three. Those who were interested and willing to commit to the second year of the project completed the remaining 2 project phases. The five phases include: 1) Introduction, Training & Baseline Data Collection, 2) First Educational Intervention & First Follow-Up Data Collection 3) First Strategy Implementation Session, 4) Final Educational Intervention & Final Follow-up Data Collection, and 5) Final Strategy Implementation Session (Figure 1). Participants received continuing professional development credits from the College of Family Physicians of Canada (12 MAINPRO-C credits (or 24 MAINPRO-M1 credits)) per year for participation.

Figure 1
figure 1

Five phases of the Canadian quality circle project. 1) Introduction, Training & Baseline Data Collection, 2) First Educational Intervention & First Follow-Up Data Collection 3) First Strategy Implementation Session, 4) Final Educational Intervention & Final Follow-up Data Collection, and 5) Final Strategy Implementation Session & final follow-up data collection (Figure 1). Members committed to the first year of the project, which consist of Quality Circle phases one to three. Those who were interested and willing to commit to the second year of the project completed the remaining project phases (four and five).

Full size image

This article describes the changes in physician behaviour during the first year of the project, but the over-all timeline of the Project is summarized in Figure 1, and the detailed description of all 5 phases follows.

Phase 1: introduction, training & baseline data collection

Project training was conducted via baseline circle meetings and involved a systematic examination of the study protocol, and a review of the project data collection form. Following training, each member collected baseline patient data from their own practice using a standardized baseline data collection form to ascertain current practice patterns for the diagnosis and treatment of osteoporosis. Once the data were evaluated, the Steering Committee met to review findings and determine key learnings that circle members should know. Key learnings were used to produce Physician Profiles. Profiles are "snapshots" of members' practice patterns showing how they managed osteoporosis including risk factor identification, bone mineral density testing, and therapies. Physician profiles were displayed graphically with a brief text summary. The profiles permitted anonymous comparisons of individual circle member data with their peers in their circle and with all the participating physicians in the project.

Phase 2: first educational intervention & first follow-up data collection

The educational intervention was initiated through a phase 2 Quality Circle meeting. The intervention consisted of two parts, 1) the presentation and discussion of baseline individual, group and overall Quality Circle Profiles. The profiles were provided to the members on-site. Then 2) educational materials related to the 2002 Osteoporosis Canada guidelines were distributed, discussed and an educational workshop was conducted. The facilitators led group discussions with their circles to identify barriers in managing osteoporosis as suggested by the guidelines and strategies to improve patient care. Following the educational intervention, a second phase of data collection was conducted by each member on additional patients using the follow-up Quality Circle collection form. Following the data collection period, the Steering Committee reviewed the findings, generated key learnings, and determined the next intervention.

Phase 3: first strategy implementation session

A strategy implementation meeting was conducted comparing individual, group and overall Quality Circle profiles from the baseline and first follow-up data collection periods. Discussions concerning the progress made by incorporating strategies identified in the prior phases of the project were shared among the group. Based on the major findings from the profiles, members discussed additional measures that should be implemented in their practices to increase alignment with the 2002 guidelines.

Phase 4: final educational intervention & final follow-up data collection

The final Quality Circle educational intervention meetings – phase 4 – were similarly designed to the first educational intervention meetings. However, the educational intervention focused on areas where the data showed physicians demonstrated suboptimal knowledge regarding the appropriate management of osteoporosis according the 2002 guidelines. Following the second educational intervention, data were collected by each physician on additional patients using the Quality Circle collection form.

Phase 5: final strategy implementation session

The final phase 5 strategy implementation meetings were similarly designed to the first strategy implementation meetings.

Procedures for data collection

Criteria for patient selection, screening & completion of the quality circle collection forms

Eligible patients met the following criteria: women 55 years of age and older, known to the physician, and attended at least two visits to the physician's clinic in the 24 months prior to enrollment. The screening of eligible patients was conducted by the clinic nurse to overcome the possibility of physician bias. At the end of each recruitment day, the nurse used the day's visit schedule to randomly select three or four medical charts of patients that met the study's eligibility criteria. After making the selection, the nurse placed the patient questionnaire into each patient chart and the family physician completed the form. Each form was one page and took approximately 5 minutes to complete. All forms were faxed to a central site and the information was incorporated in an electronic database for analysis. For each data collection period (phases one, two and four), a total of 25 different patients were randomly selected for evaluation. Over the course of the study, the forms were slightly modified to better capture important clinical data.

Multifaceted educational intervention

The educational intervention consisted of eight key components: 1) audit and feedback, where standardized Quality Circle Data Collection Forms were used to audit physicians' practices and physicians profiles were generated to provide feedback; 2) interactive small group discussions at all 5 Quality Circle meetings, where participants could safely reflect on their own practice patterns compared to their peers and compared to a gold standard; 3) use of opinion leaders who were local primary care physicians who not only served as meeting facilitators but as peers who thought the information being discussed was important; 4) reminders, where the standardized collection forms, being filled out repeatedly over a number of weeks, triggered thought on a patient's risk factors for fracture, bone mineral density utilization, and therapies; 5) multi-professional collaboration and community building where osteoporosis specialists attended each Quality Circle meeting to provide assistance in addressing clinical matters but also become personally known by circle members; 6) financial intervention of $10 for each completed standardized patient form; 7) patient directed interventions where the primary care physicians distributed Osteoporosis Canada information and educational tools for patient use; 8) and educational workshops built on needs assessments of the participants as defined by the data collected from participants own practices and focus group feedback from a cross-section of circle members. These interventions have been shown to be effective in changing behaviour [17–21].

A series of five Quality Circle Educational Intervention Workshops were developed by the Core Educational Committee consisting of members of the Osteoporosis Canada, Ontario College of Family physicians, leading physicians and scientists, and industry partners. The 2002 Osteoporosis Canada guidelines were used as the main evidence-based reference for the workshops. The workshops were developed to meet the identified needs of the cohort and required 60–90 minutes to administer during the circle meetings.

Risk factor assessment and bone densitometry

According to the Osteoporosis Canada 2002 guidelines, all postmenopausal women over the age of 50 years should be assessed for the presence of risk factors for osteoporosis. A patient was considered to be at high risk if they had one major or 2 or more minor risk factors for fracture. Low risk patients had at most one minor risk factor for fracture [9].

For individuals under the age of 65 years, a bone mineral density measurement is recommended for those who have at least one major, or 2 minor risk factors for future fracture (high risk). In addition, all women 65 years of age and older should have a bone mineral density test conducted because of the high risk of osteoporosis and fracture in this group [9].

Statistical analysis

The generalized estimating equations [22] approach was used to model differences in physician perceived certainty of risk factors for osteoporosis and appropriate utilization of bone mineral density testing pre and post educational intervention (first year of the study). An exchangeable correlation matrix was used for the analyses. Physicians' awareness of the following risk factors were examined: age 65 years and older; prior fragility fracture after age 40 years at the hip wrist, or spine; family history of fracture; menopause before age 45 years; any other major risk factor; and two or more minor risk factors. Generalized estimating equations method was used to take into account the clustered nature of the data; given that patients treated within a primary care physician should be correlated (clustered variable is the physician). For the model, the unit of analysis is the patient and the unit of inference is the physician. Separate models were conducted for the dependent variables, risk factor certainty and appropriate bone mineral density testing. Unadjusted and adjusted odds ratios (OR) and corresponding 95% confidence intervals (CI) are reported.

A physician was certain about a patient's particular risk factor if the physician indicate on the standardized form that the patient had (yes) or did not have (no) the risk factor. If the physician was unsure, the physician indicated uncertain on the standardized form. Appropriate bone mineral density testing was defined, based on the Osteoporosis Canada guidelines, as testing in those who have at least one major, or 2 minor risk factors for future fracture (high risk) or not testing in patients with one minor or no risk factors. Given that only those who were interested and willing to commit to the second year of the project completed year two of the study, the analyses were conducted for only the first year. Goodness-of-fit of each model was assessed using the method developed by Horton et al. [23].

All statistical analyses were performed using the SAS/STAT (version 9.1; SAS Institute Inc., Cary, North Carolina, USA) software package running on Windows XP Professional. The criterion for statistical significance was set at α 0.05.

Results

A total of 340 family physician circle members formed 34 quality circles and participated in the study. During the first year of the study, 39 physicians (11.5%) dropped out of the study (Table 1). Quality circles were developed in seven provinces including 5 in British Columbia, 3 in Alberta, 1 in Saskatchewan, 11 in Ontario, 11 in Quebec, 1 in New Brunswick, 1 in Nova Scotia. Bone mineral density testing was conducted in 66% (5549/8371) and 74% (5431/7328) of the patient population at baseline and the first follow-up, respectively.

Table 1 Study and patient characteristics of the quality circle project
Full size table

Awareness of risk factors

The percentage of primary care physicians who were uncertain of their patients' risk factor status was generally low. However, at baseline, approximately 50% (4238/8368), 22% (1794/8364) and 10% (823/8365) of physicians professed uncertainty about three key historical facts: their patients' family history of fracture, early menopausal status, and prior vertebral fracture history, respectively (Table 2). Results generated from the generalized estimating equations method showed that physicians' certainty of risk factor awareness significantly increased during the first year of the study. This implies that more physicians indicated that they were aware of the patients' risk factor status (either the patient had or did not have the risk factor) then were unaware during the course of the study. Improvement varied from an OR of 1.4 (CI: 1.1, 1.8) for prior vertebral fracture status to 6.5 (CI: 2.4, 17.5) for prior hip fracture status (Figure 2).

Table 2 Physicians' perceived uncertainty of their patients risk factor status
Full size table
Figure 2
figure 2

Change in physicians' perceived certainty of their patients' risk factor status during the 1 st year of the study. The generalized estimating equations approach was used to model differences in physician perceived awareness of risk factors pre and post 1st educational intervention. Values are expressed as adjusted and unadjusted odds ratios (OR) and corresponding 95% confidence intervals (CI) are reported. Generalized estimating equations method was used to take into account the clustered nature of the data (patients within physicians). All risk factors in figure 2 were included in the adjusted analysis. Overall Certainty = all the risk factors in figure 2 combined. UP = upper. The fit of the models ranged from 0.714 to < 0.001.

Full size image

Appropriate bone mineral density testing

At baseline, 68.3% (4426/6482) of high risk patients were administered a bone mineral density test as compared with 59.5% (1123/1889) of low risk patients. During the first follow-up, 78.2% (4343/5557) of high risk patients were administered a bone density test as compare with 61.4% (1088/1771) of low risk patients (Table 3). Appropriate bone mineral density testing significantly improved at the end of the 1st year of the study as indicated by the unadjusted and adjusted OR and 95% CI (Figure 3). However, there are many reasons why physicians administered or did not administer bone density tests in high and low risk patients (Tables 4).

Table 3 Bone mineral density testing in high and low risk patients
Full size table
Table 4 Reasons why primary care physicians conducted a bone mineral density test in high and low risk patients
Full size table
Figure 3
figure 3

Change in bone mineral density testing depending of risk factor status during the 1 st year of the study. The generalized estimating equations approach was used to model differences in appropriate utilization of bone mineral density testing pre and post 1st educational intervention. Values are expressed as adjusted and unadjusted odds ratios (OR) and corresponding 95% confidence intervals (CI) are reported. Generalized estimating equations method was used to take into account the clustered nature of the data (patients within physicians). All risk factors in figure 3 were included in the adjusted analysis along with the two way interaction terms with phase. The fit of the models was < 0.001.

Full size image

Discussion

Given the magnitude of the community health problem associated with osteoporosis, managing the disease must shift from specialists to family physicians. Family physicians are a trusted source of health information to their patients and have a unique opportunity to proactively prevent and treat osteoporosis in their practice for the reason that in most patient/primary care physicians relationships there are many opportunities for the physician to assess osteoporosis.

Despite the consequences of osteoporosis, the management of the disease is less than optimal [10–12, 24]. For instance, Juby and De Geus-Wenceslau evaluated the presence of osteoporosis from a retrospective chart review of 311 consecutive patients over 65 years of age who were admitted to a tertiary care hospital with a diagnosis of hip fracture. In addition, chart review was conducted on 226 patients after discharge from post-surgery rehabilitation [12]. The results showed that osteoporosis was diagnosed in the tertiary care hospital on admission in 11.9% and on discharge in 15.4%. In the rehabilitation hospital, it was diagnosed in 9.7% on admission and 11.2% on discharge [12].

Given this care gap, our study was designed to improve patient care. The Quality Circle technique has been previously examined in osteoporotic patients with positive treatment outcomes. However, these circles consisted of interdisciplinary groups of physicians [25, 26]. Our study demonstrated that Quality Circle methodology is an effective approach that improves family physicians' diagnosis of osteoporosis. The results showed that family physicians were more aware of their patients' risk factor status. This indicates that physicians asked more questions regarding a patient's risk factor status for osteoporosis during clinical visits. Moreover, a higher number of high risk patients received bone density testing as compared with low risk patients. However, bone density testing in low risk patients did not change dramatically following the educational intervention and the amount of testing was higher than expected. The primary reason for this finding was that family physicians wanted to formally assess the fracture risk of these patients. Fortunately, it appeared that these formal risk assessments were done prudently, given the fact that approximately two thirds of low risk patients were never administered a bone density test or were given their most recent scan three or more years following their last test. Results also suggested that following the Quality Circle meetings, there was a decrease in the difference in bone density testing in patients with a prior fracture as compared with those without a fracture. One reason for this outcome may be that physicians believed that bone density testing was not necessary in patients with fracture and that these patients should be administered therapy regardless of their bone density t-score [27, 28].

Although the perceived prevalence of fracture was high, population based studies have suggest a higher prevalence then reported in the current study particularly at the spine [29–31]. This would suggest vertebral fractures are underreported and that strategies should be developed to improve reporting.

The strengths of the study are numerous and include the large number of family physicians that participated from across Canada; thus improving the generalizability of the results. In addition, the findings of our study were derived from self-audits and did not rely on physicians self-reports, which may reflect attitudes about their practice rather than true practice. Furthermore, the audits consisted of a random selection of patients from the physicians' practices. Because single-component interventions have not been shown to change clinical practice [17–19], Quality Circle methodology combined various techniques into one multifaceted intervention, which is likely more effective at changing physician awareness and behaviour [20, 21]. This technique involved practice audits, feedback on performance by peers, an interactive discussion of evidence, small group physician education workshops that were led by local primary care physicians and supported by osteoporosis specialists, diagnosis and treatment reminders, and making personal learning plans for improving clinical management of osteoporosis in accordance with the OC 2002 guidelines. Finally the Quality Circle technique, consisted of short duration meetings with little financial incentives, thus the feasibility of using this approach in osteoporosis aware physicians in other settings is high.

Nonetheless, our study is not without limitations. Patients evaluated in the study were postmenopausal women and as a consequence, our results may not be applicable to men, or premenopausal women. Given that recruitment was based on a physician's interest in osteoporosis and women's health, these clinicians may have greater experience and comfort in managing the disease from the onset. In addition, this recruitment strategy may result in some selection bias, which may have influenced our findings.

Furthermore, the physicians that participated in the study were from urban settings and it has been shown that urban physicians may order more bone density tests as compared with rural physicians [32]. Moreover, a randomized control trial of physicians will be needed to confirm the current study's results. Finally, it is important to consider that clinical practice guidelines are intended to provide physicians with the current best evidence from clinical research to help them make health care decisions regarding osteoporosis; however, clinical judgment and the patient's preference, will determine if, when and what treatment is initiated. As a result, 100% adherence to the guidelines is not warranted.

Conclusion

In conclusion, because osteoporosis is a multifactorial condition, its prevention and management are complex. It is important that physicians recognize the risks for osteoporosis and fracture and that these factors should be used to identify individuals who may benefit from bone density testing. The Quality Circle technique is an effective stepwise knowledge translation approach that increases primary care physicians' awareness and assessment of osteoporosis in accordance with the Osteoporosis Canada 2002 guidelines.

References

  1. Hanley DA, Josse RG: Prevention and management of osteoporosis: consensus statements from the Scientific Advisory Board of the Osteoporosis Society of Canada: 1. Introduction. Can Med Assoc J. 1996, 155: 921-923.

    CAS  Google Scholar 

  2. Melton LJ, Chrischilles EA, Cooper C, Lane AW, Riggs BL: Perspective: how many women have osteoporosis?. J Bone Miner Res. 1992, 7: 1005-1010.

    Article  PubMed  Google Scholar 

  3. Painter JR, Sears JL, Newman RI: Assessing benefits of the pain center: why do some patients regress?. Pain. 1980, 8: 101-113. 10.1016/0304-3959(80)90093-7.

    CAS  Article  PubMed  Google Scholar 

  4. Follick MJ, Smith TW, Ahern DK: The Sickness Impact Profile: a global measure of disability in chronic low back pain. Pain. 1985, 21: 67-76. 10.1016/0304-3959(85)90078-8.

    CAS  Article  PubMed  Google Scholar 

  5. Armentrout DP, Moore JE, Parker JC, Hewett JE, Feltz C: Pain patient sub-groups: psychological dimensions of pain. J Behav Med. 1982, 5: 201-211. 10.1007/BF00844809.

    CAS  Article  PubMed  Google Scholar 

  6. Cooper C: The crippling consequences of fractures and their impact on quality of life. Am J Med. 1997, 103: 12S-19S. 10.1016/S0002-9343(97)90022-X.

    CAS  Article  PubMed  Google Scholar 

  7. Nevitt MC, Thompson DE, Black DM, Rubin SR, Ensrud K, Yates AJ: Effect of alendronate on limited-activity days and bed-disability days caused by back pain in postmenopausal women with existing vertebral fractures. Arch Intern Med. 2000, 160: 77-85. 10.1001/archinte.160.1.77.

    CAS  Article  PubMed  Google Scholar 

  8. Papadimitropoulos EA, Coyte PC, Josse RG, Greenwood CE: Current and projected rates of hip fracture in Canada. Can Med Assoc J. 1997, 157: 1357-1363.

    CAS  Google Scholar 

  9. Brown JP, Josse RG, for the scientific advisory council of the osteoporosis society of Canada: 2002 Clinical practice guidelines for the diagnosis and management of osteoporosis in Canada. Can Med Assoc J. 2002, 167: S1-S34.

    Google Scholar 

  10. Papaioannou A, Wiktorowicz M, Adachi JD, Goeree R, Papadimitropoulos E, Bedard M: Mortality, independence, in living and re-fracture, one year following hip fracture in Canadians. Journal of the SOGC. 2000, 22: 591-597.

    Article  Google Scholar 

  11. Khan SA, de Geus C, Holroyd B, Russell AS: Osteoporosis follow-up after wrist fractures following minor trauma. Arch Intern Med. 2001, 161: 1309-1312. 10.1001/archinte.161.10.1309.

    CAS  Article  PubMed  Google Scholar 

  12. Juby AG, De Geus-Wenceslau CM: Evaluation of osteoporosis treatment in seniors after hip fracture. Osteoporos Int. 2002, 13: 205-210. 10.1007/s001980200015.

    CAS  Article  PubMed  Google Scholar 

  13. Bero LA, Grilli R, Grimshaw JM, Harvey E, Oxman AD, Thomson MA: Closing the gap between research and practice: an overview of systematic reviews of interventions to promote implementation of research findings. British Med J. 1998, 317: 465-468.

    CAS  Article  Google Scholar 

  14. Leman ME: QC's: their place in health care. Hosp Top. 1986, 64: 15-19.

    Article  Google Scholar 

  15. Verstappen WHJM, Weijden van der T, Dubois WI, Smeele I, Hermsen J, Tan FES: Improving test ordering in primary care: The added value of a small-group quality improvement strategy compared with classic feedback only. Ann Fam Med. 2004, 2: 569-575. 10.1370/afm.244.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Phillips WR, Haynes DG: The domain of family practice: scope, role, and function. Fam Med. 2001, 33 (4): 273-7.

    CAS  PubMed  Google Scholar 

  17. Grol R, Grimshaw J: From best evidence to best practice: effective implementation of change in patients' care. Lancet. 2003, 362: 1225-1230. 10.1016/S0140-6736(03)14546-1.

    Article  PubMed  Google Scholar 

  18. Majumdar SR, Soumerai SB: Why most interventions to improve physician prescribing do not seem to work. Can Med Assoc J. 2003, 169: 30-31.

    Google Scholar 

  19. Grimshaw JM, Shirran L, Thomas R, Mowatt G, Fraser C, Bero L: changing provider behavior: an overview of systematic reviews of interventions. Med Care. 2001, 39: 112-145. 10.1097/00005650-200108002-00002.

    Article  Google Scholar 

  20. Hulscher MEJL, Wensing M, Grol RPTM, Weijden van der T, van Weel C: Interventions to improve the delivery of preventive services in primary care. Am J Public Health. 1999, 89: 37-46.

    Article  Google Scholar 

  21. Solomon DH, Hashimoto H, Daltroy L, Liang MH: Techniques to improve physicians' use of diagnostic tests. JAMA. 1998, 280: 2020-2027. 10.1001/jama.280.23.2020.

    CAS  Article  PubMed  Google Scholar 

  22. Liang K-Y, Zeger SL: Longitudinal data analysis using generalized linear models. Biometrika. 1986, 73: 13-22. 10.1093/biomet/73.1.13.

    Article  Google Scholar 

  23. Horton NJ, Bebchuk JD, Jones CL, Lipsitx SR, Catolona PJ, Zahner GEP: Goodness-of-fit for GEE: an example with mental health service utilization. Statist Med. 1999, 18: 213-222. 10.1002/(SICI)1097-0258(19990130)18:2<213::AID-SIM999>3.0.CO;2-E.

    CAS  Article  Google Scholar 

  24. Freedman KB, Kaplan FS, Bilker WB, Strom BL, Lowe RA: Treatment of osteoporosis: Are physicians missing an opportunity?. J Bone Joint Surg Am. 2000, 82: 1063-1070.

    PubMed  Google Scholar 

  25. Abendroth K, Dambacher MA, Defer A, Bitzer E, Birkner B, Wawra K: Standardized documentation of osteoporosis patients in German. J Bone Min Res. 2002, 17: S466-

    Google Scholar 

  26. Abendroth K, Dambacher MA, Defer A, Bitzer E, Birkner B, Wawra K: QC's increase the quality of treatment of osteoporosis patients. J Bone Min Res. 2003, 18: S380-

    Google Scholar 

  27. National Osteoporosis Foundation: Physician's guide to prevention and treatment of osteoporosis. 1998, Washington, DC: National Osteoporosis Foundation

    Google Scholar 

  28. Lambing CL: Osteoporosis prevention, detection, and treatment, a mandate for primary care physicians. Postgrad Med. 2000, 107: 37-56.

    CAS  Article  PubMed  Google Scholar 

  29. Jackson SA, Tenenhouse A, Roberston L, and the CaMos study group: Vertebral fracture definition from population-based data: preliminary results from the Canadian multicenter osteoporosis study (CaMos). Osteoporos Int. 2000, 11: 680-687. 10.1007/s001980070066.

    CAS  Article  PubMed  Google Scholar 

  30. Melton LJ, Kan SH, Frye MA, Wahner HW, O'Fallon WM, Riggs BL: Epidemiology of vertebral fracture in women. Am J Epidemio. 1989, 129: 1000-1011.

    Google Scholar 

  31. O'Niell TW, Felsenberg D, Varlow J, Cooper C, Kanis JA, Silman AJ: The prevalence of vertebral deformity in European men and women: the European vertebral osteoporosis study. J Bone Miner Res. 1996, 11: 1010-1018.

    Article  Google Scholar 

  32. Ridout R, Hawker GA: Use of bone densitometry by Ontario family physicians. Osteoporos Int. 2000, 11: 393-399. 10.1007/s001980070105.

    CAS  Article  PubMed  Google Scholar 

Pre-publication history

Download references

Acknowledgements

The authors would like to thank all physician-facilitators for their involvement with the study: Drs. Murray Awde (London, ON), Jay Baker (Cambridge, ON), André Bélanger (Courcelette, QC), A. William Booth (Antigonish, NS), John Chiu (Edmonton, AB), Ronald Collette (Burnaby, BC), Howard Conter (Halifax, NS), Lise Côté (Chicoutimi, QC), Marie-France Desjardins (Longueuil, QC), Steven Goluboff (Saskatoon SK), Nader Habib (Laval, QC), Ralph T. Hollands (Ottawa, ON), Jack Kooy (Penticton, BC), James Kraemer (Burlington, ON), Hélène Laporte (St Charles Borromee, QC) Vansen Lee (Toronto, ON), Sharon Levy (Toronto, ON), Kerry Luttrell (Nanaimo, BC), John J. Macdonald (Aldergrove, BC), Lucie Marchand (Magog, QC), Upender K. Mehan (Cambridge, ON), Osvaldo Papini (Woodbridge, ON), Ceridwen Richard (Moncton, NB), Christopher Ryan (Vancouver, BC), Gordon Schacter (London, ON), Muriel Solomon (Calgary, AB), Lorraine Tessier (Montreal, QC), Lyne Thériault (Princeville, QC), Sébastien, Toussaint (Nouvelle, QC), Irene Tuttle (Hamilton, ON) Alison Vandenberg (Markham, ON), Peter Varvarikos (Montreal, QC), James Vavougios (Toronto, ON), and Jean Villeneuve (Iberville, QC).

The project is sponsored by research grants from the Alliance for Better Bone Health (Procter & Gamble Pharmaceuticals Canada Inc. and sanofi-aventis Pharma Inc.) and from the Ontario College of Family Physicians.

Author information

Authors and Affiliations

  1. Department of medicine, McMaster University, Hamilton, Ontario, Canada

    George Ioannidis, Jonathan D Adachi & Alexandra Papaioannou

  2. Department of clinical epidemiology and biostatistics, McMaster University, Hamilton, Ontario, Canada

    Lehana Thabane & Amiram Gafni

  3. Director of biostatistics at the Father Sean O'Sullivan Research Centre and Centre for Evaluation of Medicines at St Joseph's Healthcare in Hamilton, Hamilton, Ontario, Canada

    Lehana Thabane

  4. Department of medicine, University of Western Ontario, London, Ontario, Canada

    Anthony Hodsman

  5. Department of family medicine, University of Manitoba, Winnipeg, Manitoba, Canada

    Brent Kvern

  6. Procter & Gamble Pharmaceuticals, Toronto, Ontario, Canada

    Dan Johnstone & Nathalie Plumley

  7. Research and Professional Development, Ontario College of Family Physicians, Toronto, Ontario, Canada

    Lena Salach & Famida Jiwa

  8. Osteoporosis Canada, Toronto, Ontario, Canada

    George Ioannidis, Lehana Thabane, Amiram Gafni, Anthony Hodsman, Brent Kvern, Dan Johnstone, Nathalie Plumley, Lena Salach, Famida Jiwa, Jonathan D Adachi & Alexandra Papaioannou

Authors
  1. George Ioannidis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lehana Thabane
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Amiram Gafni
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Anthony Hodsman
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Brent Kvern
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Dan Johnstone
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Nathalie Plumley
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Lena Salach
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Famida Jiwa
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Jonathan D Adachi
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Alexandra Papaioannou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to George Ioannidis.

Additional information

Competing interests

GI, LT, AG, LS, and FJ did not have any competing interests. AH had honoraria or consultancies with Eli Lilly and Company, Merck Frosst, NPS-Allelix, Zelos Therapeutics, Servier, Pfizer Pharmaceuticlas USA, Novartis Pharmaceuticals Corporation, the Alliance for Better Bone Health (Procter & Gamble Pharmaceuticals and sanofi-aventis), and GlaxoSmithKline Consumer Healthcare. BK had honoraria or consultancies with the Alliance for Better Bone Health (Procter & Gamble Pharmaceuticals and sanofi-aventis). Both DJ and NP were Employees of Procter & Gamble Pharmaceuticals. JDA had honoraria, grants received, or consultancies with Eli Lilly and Company, Merck Frosst, Amgen Inc, the Alliance for Better Bone Health (Procter & Gamble Pharmaceuticals and sanofi-aventis), Novartis Pharmaceuticals Corporation, GlaxoSmithKline Consumer Healthcare, Servier, Roche, Servier, and Wyeth. AP had honoraria, grants received, or consultancies with Eli Lilly and Company, Merck Frosst, Amgen Inc, the Alliance for Better Bone Health (Procter & Gamble Pharmaceuticals and sanofi-aventis), and Novartis Pharmaceuticals Corporation.

Authors' contributions

All authors meeting the criteria for authorship. GI made substantial contributions to the acquisition of data, and the analysis and interpretation of data. In addition GI drafted the manuscript and gave final approval for publication. LT made substantial contributions to the interpretation of data, critically revised the manuscript for important intellectual content and gave final approval for publication. AG made substantial contributions to the interpretation of data, critically revised the manuscript for important intellectual content and gave final approval for publication. AH made substantial contributions to the conception and design of the study and interpretation of data. Furthermore, AH critically revised the manuscript for important intellectual content and gave final approval for publication. BK made substantial contributions to the conception and design of the study and interpretation of data. Moreover, BK critically revised the manuscript for important intellectual content and gave final approval for publication. DJ made substantial contributions to the conception and design of the study and interpretation of data. In addition, DJ critically revised the manuscript for important intellectual content and gave final approval for publication. NP made substantial contributions to the conception and design of the study, interpretation of data, critically revised the manuscript for important intellectual content and gave final approval for publication. LS made substantial contributions to the conception and design of the study, interpretation of data, critically revised the manuscript for important intellectual content and gave final approval for publication. FJ made substantial contributions to the interpretation of data, critically revised the manuscript for important intellectual content and gave final approval for publication. JDA made substantial contributions to the conception and design of the study and interpretation of data. Moreover, JDA critically revised the manuscript for important intellectual content and gave final approval for publication. AP made substantial contributions to the conception and design of the study and interpretation of data. Moreover, AP critically revised the manuscript for important intellectual content and gave final approval for publication.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Authors’ original file for figure 3

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Ioannidis, G., Thabane, L., Gafni, A. et al. Optimizing care in osteoporosis: The Canadian quality circle project. BMC Musculoskelet Disord 9, 130 (2008). https://doi.org/10.1186/1471-2474-9-130

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2474-9-130

Keywords

  • Osteoporosis
  • Family Physician
  • Educational Intervention
  • Baseline Data Collection
  • Bone Mineral Density Testing

BMC Musculoskeletal Disorders

ISSN: 1471-2474

Contact us