Are doctors using more preventive medication for cardiovascular disease? A Swedish cross-sectional study

BACKGROUND Despite decreasing mortality from cardiovascular disease (CVD), there are persistent inequities in mortality between socioeconomic groups. Primary preventative medications reduce mortality in CVD; thus, inequitable treatments will contribute to unequal outcomes. Physicians might contribute to inequality by prescribing preventative medication for CVD to themselves in a biased manner. AIM To determine whether primary medications for preventing CVD were prescribed inequitably between physicians and non-physicians. DESIGN AND SETTING This retrospective study retrieved registry data on prescribed medications for all physicians in Sweden aged 45-74 years, during 2013, and for reference non-physician individuals, matched by sex, age, residence, and level of education. The outcome was any medication for preventing CVD, received at least once during 2013. METHOD Age and the sex-specific prevalence of myocardial infarction (MI) among physicians and non-physicians were used as a proxy for the need for medication. Thereafter, to limit the analysis to preventative medication, we excluded individuals that were diagnosed with CVD or diabetes. To analyse differences in medication usage between physicians and matched non-physicians, we estimated odds ratios (ORs) with conditional logistic regression and adjusted for need and household income. RESULTS MI prevalences were 5.7% for men and 2.3% for women, among physicians, and 5.4% for men and 1.8% for women, among non-physicians. We included 25,105 physicians and 44,366 non-physicians. The OR for physicians receiving any CVD preventative medication, compared to non-physicians, was 1.65 (95% confidence interval 1.59-1.72). CONCLUSION We found an inequity in prescribed preventative CVD medications, which favoured physicians over non-physicians.

[1]  J. Lindholt,et al.  Cost effectiveness of population screening versus no screening for cardiovascular​ disease: the Danish Cardiovascular Screening trial (DANCAVAS). , 2022, European heart journal.

[2]  M. Jylhä,et al.  Changes in socioeconomic differentials in old age life expectancy in four Nordic countries: the impact of educational expansion and education-specific mortality , 2022, European Journal of Ageing.

[3]  T. Kahan,et al.  Socioeconomic status affects achievement of blood pressure target in hypertension: contemporary results from the Swedish primary care cardiovascular database , 2021, Scandinavian journal of primary health care.

[4]  J. Eriksson,et al.  The feasibility and outcome of a community-based primary prevention program for cardiovascular disease in the 21st century , 2021, Scandinavian journal of primary health care.

[5]  W. Oberaigner,et al.  In guidelines physicians trust? Physician perspective on adherence to medical guidelines for type 2 diabetes mellitus , 2020, Heliyon.

[6]  J. Mackenbach,et al.  Progress in reducing inequalities in cardiovascular disease mortality in Europe , 2019, Heart.

[7]  K. Johnell,et al.  Inequalities in health care use among older adults in Sweden 1992–2011: A repeated cross-sectional study of Swedes aged 77 years and older , 2014, Scandinavian journal of public health.

[8]  O. Desalu,et al.  Self-prescription practices by Nigerian medical doctors , 2014 .

[9]  S. Vinker,et al.  The association between physicians’ and patients’ preventive health practices , 2013, Canadian Medical Association Journal.

[10]  A. P. D. Ponce de Leon,et al.  Socioeconomic differences in healthcare utilization, with and without adjustment for need: An example from Stockholm, Sweden , 2013, Scandinavian journal of public health.

[11]  F. Diderichsen,et al.  Is the high-risk strategy to prevent cardiovascular disease equitable? A pharmacoepidemiological cohort study , 2012, BMC Public Health.

[12]  J. Mackenbach The persistence of health inequalities in modern welfare states: the explanation of a paradox. , 2012, Social science & medicine.

[13]  J. Sluiter,et al.  Health Behaviors, Care Needs and Attitudes towards Self-Prescription: A Cross-Sectional Survey among Dutch Medical Students , 2011, PloS one.

[14]  J. Ludvigsson,et al.  External review and validation of the Swedish national inpatient register , 2011, BMC public health.

[15]  I. Åkerlind,et al.  General beliefs about medicines among doctors and nurses in out-patient care: a cross-sectional study , 2009, BMC family practice.

[16]  A. Sheikh,et al.  Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2 , 2008, BMJ : British Medical Journal.

[17]  J. Chen,et al.  Doctors' personal health care choices: A cross-sectional survey in a mixed public/private setting , 2008, BMC public health.

[18]  Suzanne G. Leveille,et al.  Prevalence of Musculoskeletal Pain and Statin Use , 2008, Journal of General Internal Medicine.

[19]  Ø. Ekeberg,et al.  Self-prescribing among young Norwegian doctors: a nine-year follow-up study of a nationwide sample , 2005, BMC medicine.

[20]  E. Bjertness,et al.  Illness behaviour among Norwegian physicians , 2002, Scandinavian journal of public health.

[21]  D. Asch,et al.  Prescription drug use and self-prescription among resident physicians. , 1998, JAMA.

[22]  K. McPherson,et al.  Utilisation of hormone replacement therapy by women doctors , 1995, BMJ.

[23]  J. Anthony,et al.  Prevalence of substance use among US physicians. , 1992, JAMA.

[24]  A. Wagstaff,et al.  On the measurement of horizontal inequity in the delivery of health care. , 1991, Journal of health economics.