Comparison of primary care models in the prevention of cardiovascular disease - a cross sectional study

Clare Liddy, Jatinderpreet Singh, William Hogg, Simone Dahrouge, Monica Taljaard, Clare Liddy, Jatinderpreet Singh, William Hogg, Simone Dahrouge, Monica Taljaard

Abstract

Background: Primary care providers play an important role in preventing and managing cardiovascular disease. This study compared the quality of preventive cardiovascular care delivery amongst different primary care models.

Methods: This is a secondary analysis of a larger randomized control trial, known as the Improved Delivery of Cardiovascular Care (IDOCC) through Outreach Facilitation. Using baseline data collected through IDOCC, we conducted a cross-sectional study of 82 primary care practices from three delivery models in Eastern Ontario, Canada: 43 fee-for-service, 27 blended-capitation and 12 community health centres with salary-based physicians. Medical chart audits from 4,808 patients with or at high risk of developing cardiovascular disease were used to examine each practice's adherence to ten evidence-based processes of care for diabetes, chronic kidney disease, dyslipidemia, hypertension, weight management, and smoking cessation care. Generalized estimating equation models adjusting for age, sex, rurality, number of cardiovascular-related comorbidities, and year of data collection were used to compare guideline adherence amongst the three models.

Results: The percentage of patients with diabetes that received two hemoglobin A1c tests during the study year was significantly higher in community health centres (69%) than in fee-for-service (45%) practices (Adjusted Odds Ratio (AOR) = 2.4 [95% CI 1.4-4.2], p = 0.001). Blended capitation practices had a significantly higher percentage of patients who had their waistlines monitored than in fee-for-service practices (19% vs. 5%, AOR = 3.7 [1.8-7.8], p = 0.0006), and who were recommended a smoking cessation drug when compared to community health centres (33% vs. 16%, AOR = 2.4 [1.3-4.6], p = 0.007). Overall, quality of diabetes care was higher in community health centres, while smoking cessation care and weight management was higher in the blended-capitation models. Fee-for-service practices had the greatest gaps in care, most noticeably in diabetes care and weight management.

Conclusions: This study adds to the evidence suggesting that primary care delivery model impacts quality of care. These findings support current Ontario reforms to move away from the traditional fee-for-service practice.

Trial registration: ClinicalTrials.gov: NCT00574808.

References

    1. Macinko J, Starfield B, Shi L. The contribution of primary care systems to health outcomes within Organization for Economic Cooperation and Development (OECD) countries, 1970-1998. Health Serv Res. 2003;38:831–865. doi: 10.1111/1475-6773.00149.
    1. Starfield B. Primary care and health. A cross-national comparison. JAMA. 1991;266:2268–2271. doi: 10.1001/jama.266.16.2268.
    1. Starfield B, Shi L. Policy relevant determinants of health: an international perspective. Health Policy. 2002;60:201–218. doi: 10.1016/S0168-8510(01)00208-1.
    1. Primary Health Care Transition Fund.
    1. Collier R. Shift toward capitation in Ontario. CMAJ. 2009;181:668–669. doi: 10.1503/cmaj.109-3068.
    1. Dahrouge S, Hogg W, Russell G, Geneau R, Kristjannson E, Muldoon L, Johnston S. The Comparision of Models of Primary Care in Ontario study (COMP-PC): methodology of a multifacted cross-sectional practice-based study. Open Medicine. 2009;3:149–164.
    1. Russell GM, Dahrouge S, Hogg W, Geneau R, Muldoon L, Tuna M. Managing chronic disease in ontario primary care: the impact of organizational factors. Ann Fam Med. 2009;7:309–318. doi: 10.1370/afm.982.
    1. Liddy C, Hogg W, Russell G, Wells G, Deri AC, Akbari A, Dahrouge S, Taljaard M, Mayo-Bruinsma L, Singh J. et al.Improved Delivery of Cardiovascular Care (IDOCC) through Outreach Facilitation: study protocol and implementation details of a cluster randomized controlled trial in primary care. Implement Sci. 2011;6:110. doi: 10.1186/1748-5908-6-110.
    1. Brown CA, Lilford RJ. The stepped wedge trial design: a systematic review. BMC Med Res Methodol. 2006;6:54. doi: 10.1186/1471-2288-6-54.
    1. Bains N, Dall K, Hay C, Pacey M, Sarkella J, Ward M. Population Health Profile: Champlain LHIN. Government of Ontario; 2008.
    1. The Champlain Cardiovascular Disease Prevention Strategy.
    1. Borgiel AE, Dunn EV, Lamont CT, MacDonald PJ, Evensen MK, Bass MJ, Spasoff RA, Williams JI. Recruiting family physicians as participants in research. Fam Pract. 1989;6:168–172. doi: 10.1093/fampra/6.3.168.
    1. Montoya L, Liddy C, Hogg W, Papadakis S, Dojeji L, Russell G, Akbari A, Pipe A, Higginson L. Development of Champlain primary care cardiovascular disease prevention and management guideline: Tailoring evidence to community practice. Can Fam Physician. 2011;57:e202–e207.
    1. Liddy C, Wiens M, Hogg W. Methods to achieve high interrater reliability in data collection from primary care medical records. Ann Fam Med. 2011;9:57–62. doi: 10.1370/afm.1195.
    1. Dahrouge S, Hogg W, Tuna M, Russell G, Devlin RA, Tugwell P, Kristjansson E. An evaluation of gender equity in different models of primary care practices in Ontario. BMC Public Health. 2010;10:151. doi: 10.1186/1471-2458-10-151.
    1. Gray J, Millett C, O'Sullivan C, Omar RZ, Majeed A. Association of age, sex and deprivation with quality indicators for diabetes: population-based cross sectional survey in primary care. J R Soc Med. 2006;99:576–581. doi: 10.1258/jrsm.99.11.576.
    1. Higashi T, Wenger NS, Adams JL, Fung C, Roland M, McGlynn EA, Reeves D, Asch SM, Kerr EA, Shekelle PG. Relationship between number of medical conditions and quality of care. N Engl J Med. 2007;356:2496–2504. doi: 10.1056/NEJMsa066253.
    1. Min LC, Wenger NS, Fung C, Chang JT, Ganz DA, Higashi T, Kamberg CJ, MacLean CH, Roth CP, Solomon DH. et al.Multimorbidity is associated with better quality of care among vulnerable elders. Med Care. 2007;45:480–488. doi: 10.1097/MLR.0b013e318030fff9.
    1. SAS (Computer Program) Versiona 9.2. Cary, NC. 2004.
    1. Stratton IM, Adler AI, Neil HA, Matthews DR, Manley SE, Cull CA, Hadden D, Turner RC, Holman RR. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000;321:405–412. doi: 10.1136/bmj.321.7258.405.
    1. Ettner SL, Thompson TJ, Stevens MR, Mangione CM, Kim C, Neil SW, Goewey J, Brown AF, Chung RS, Narayan KM. Are physician reimbursement strategies associated with processes of care and patient satisfaction for patients with diabetes in managed care? Health Serv Res. 2006;41:1221–1241.
    1. Keating NL, Landrum MB, Landon BE, Ayanian JZ, Borbas C, Wolf R, Guadagnoli E. The influence of physicians' practice management strategies and financial arrangements on quality of care among patients with diabetes. Med Care. 2004;42:829–839. doi: 10.1097/01.mlr.0000135829.73795.a7.
    1. Rittenhouse DR, Robinson JC. Improving quality in Medicaid: the use of care management processes for chronic illness and preventive care. Med Care. 2006;44:47–54. doi: 10.1097/.
    1. Hogg W, Dahrouge S, Russell G, Tuna M, Geneau R, Muldoon L, Kristjansson E, Johnston S. Health promotion activity in primary care: performance of models and associated factors. Open Medicine. 2009;3:165–173.
    1. Ontario's Community Health Centres: Addressing Ontario's great health divide.
    1. Ottawa Model for Smoking Cessation: Primary Care.
    1. Hollis JF, McAfee TA, Fellows JL, Zbikowski SM, Stark M, Riedlinger K. The effectiveness and cost effectiveness of telephone counselling and the nicotine patch in a state tobacco quitline. Tob Control. 2007;16(Suppl 1):i53–i59.
    1. Douketis JD, Paradis G, Keller H, Martineau C. Canadian guidelines for body weight classification in adults: application in clinical practice to screen for overweight and obesity and to assess disease risk. CMAJ. 2005;172:995–998. doi: 10.1503/cmaj.045170.
    1. Zhang C, Rexrode KM, van Dam RM, Li TY, Hu FB. Abdominal obesity and the risk of all-cause, cardiovascular, and cancer mortality: sixteen years of follow-up in US women. Circulation. 2008;117:1658–1667. doi: 10.1161/CIRCULATIONAHA.107.739714.
    1. National Institutes of Health. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults: The Evidence Report. NIH Publication. 1998. pp. 98–4083.
    1. Mold JW, Peterson KA. Primary care practice-based research networks: working at the interface between research and quality improvement. Ann Fam Med. 2005;3(Suppl 1):S12–S20.
    1. Nagykaldi Z, Mold JW, Aspy CB. Practice facilitators: a review of the literature. Fam Med. 2005;37:581–588.
    1. Casalino L, Gillies RR, Shortell SM, Schmittdiel JA, Bodenheimer T, Robinson JC, Rundall T, Oswald N, Schauffler H, Wang MC. External incentives, information technology, and organized processes to improve health care quality for patients with chronic diseases. JAMA. 2003;289:434–441. doi: 10.1001/jama.289.4.434.
    1. Gosden T, Forland F, Kristiansen IS, Sutton M, Leese B, Giuffrida A, Sergison M, Pedersen L. Impact of payment method on behaviour of primary care physicians: a systematic review. J Health Serv Res Policy. 2001;6:44–55. doi: 10.1258/1355819011927198.
    1. Li R, Simon J, Bodenheimer T, Gillies RR, Casalino L, Schmittdiel J, Shortell SM. Organizational factors affecting the adoption of diabetes care management processes in physician organizations. Diabetes Care. 2004;27:2312–2316. doi: 10.2337/diacare.27.10.2312.
    1. Kaissi A, Kralewski J, Curoe A, Dowd B, Silversmith J. How does the culture of medical group practices influence the types of programs used to assure quality of care? Health Care Manage Rev. 2004;29:129–138.
    1. Luck J, Peabody JW, Dresselhaus TR, Lee M, Glassman P. How well does chart abstraction measure quality? A prospective comparison of standardized patients with the medical record. Am J Med. 2000;108:642–649. doi: 10.1016/S0002-9343(00)00363-6.

Source: PubMed

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