Referring and Specialist Physician Gender and Specialist Billing.

Importance: While a gender pay gap in medicine has been well documented, relatively little research has addressed mechanisms that mediate gender differences in referral income for specialists. Objective: To examine gender-based disparities in medical and surgical specialist referrals in Ontario, Canada. Design, Setting, and Participants: This cross-sectional study included referrals for specialist care ascertained from Ontario Health Insurance Plan physician billings for fiscal year 2018 to 2019. Participants were specialist physicians who received new patient consultations from April 1, 2018, to March 31, 2019, and the associated referring physicians. Data were analyzed from April 2018 to March 2020, including a 12-month follow-up period. Exposures: Specialist and referring physician gender (female or male). Main Outcomes and Measures: Revenue per referral was defined based on an episode-of-care approach as total billings for a 12-month period from the initial consultation. Mean total billings for female and male specialists were compared and the differential divided into the portion owing to referral volume vs referral revenue. Difference-in-differences multivariable regression analysis was used to estimate gender-based differences in revenue per referral. For each referring physician, gender-based differences in referral patterns were examined using case-control analysis, in which specialists who received a referral were compared with matched control specialists who did not receive a referral. This analysis considered the gender of the specialist and concordance between the gender of the referring physician and specialist, among other characteristics. Results: Of 7 621 365 new referrals, 32 824 referring physicians, of whom 13 512 (41.2%) were female (mean [SD] age, 46.3 [11.6] years) and 19 312 (58.8%) were male (mean [SD] age, 52.9 [13.5] years), made referrals to 13 582 specialists, of whom 4890 (36.0%) were female (mean [SD] age, 45.6 [11.0] years) and 8692 (64.0%) were male (mean [SD] age, 51.8 [13.0] years). Male specialists received more mean (SD) referrals than did female specialists (633 [666] vs 433 [515]), and the mean (SD) revenue per referral was higher for males ($350 [$474]) compared with females ($316 [$393]). Adjusted analysis demonstrated a -4.7% (95% CI, -4.9% to -4.5%) difference in the revenue per referral between male and female specialists. Multivariable regression analysis found that physicians referred more often to specialists of the same gender (odds ratio, 1.04; 95% CI, 1.03-1.04) but had higher odds of referring to male specialists (odds ratio, 1.10; 95% CI, 1.09-1.11). Conclusions and Relevance: In this cross-sectional study of the gender pay gap in specialist referral income, the number and revenue from referrals received differed by gender, as did the odds of receiving a referral from a physician of the same gender. Future research should examine the effectiveness of different policies to address this gap, such as a centralized, gender-blinded referral system.

Cost-effectiveness analysis of LungLB for the clinical management of patients with indeterminate pulmonary nodules.

BACKGROUND: There is currently a need for additional diagnostic information to help guide treatment decisions and to properly determine the best treatment pathway for patients identified with indeterminate pulmonary nodules (IPNs). The aim of this study was to demonstrate the incremental cost-effectiveness of LungLB compared to the current clinical diagnostic pathway (CDP) in the management of patients with IPNs, from a US payer's perspective. METHODS: A decision tree and Markov model hybrid was chosen from a payer perspective in the US setting, based on published literature, to assess the incremental cost-effectiveness of LungLB compared to the current CDP in the management of patients with IPNs. Primary endpoints of the analysis include expected costs, life years (LYs), and quality-adjusted life years (QALYs) for each arm of the model, as well as an incremental cost-effectiveness ratio (ICER), which is calculated as the incremental costs per QALY, and net monetary benefit (NMB). RESULTS: We find that, with the inclusion of LungLB to the current CDP diagnostic pathway, expected LYs over the typical patient's lifespan increase by 0.07 years and QALYs increase by 0.06. The average patient in the CDP arm will pay approximately $44,310 over their lifespan, while a patient in the LungLB arm will pay $48,492, resulting in a difference of $4,182. The differentials between the CDP and LungLB arms of the model in costs and QALYs yield an ICER of $75,740 per QALY and an incremental NMB of $1,339. CONCLUSION: This analysis provides evidence that LungLB, in conjunction with CDP, is a cost-effective alternative compared to the current CDP alone in a US setting for individuals with IPNs.

Association between virtual primary care and emergency department use during the first year of the COVID-19 pandemic in Ontario, Canada.

BACKGROUND: Uptake of virtual care increased substantially during the first year of the COVID-19 pandemic. The aim of this study was to evaluate whether a shift from in-person to virtual visits by primary care physicians was associated with increased use of emergency departments among their enrolled patients. METHODS: We conducted an observational study of monthly virtual visits and emergency department visits from Apr. 1, 2020, to Mar. 31, 2021, using administrative data from Ontario, Canada. We used multivariable regression analysis to estimate the association between the proportion of a physician's visits that were delivered virtually and the number of emergency department visits among their enrolled patients. RESULTS: The proportion of virtual visits was higher among female, younger and urban physicians, and the number of emergency department visits was lower among patients of female and urban physicians. In an unadjusted analysis, a 1% increase in a physician's proportion of virtual visits was found to be associated with 11.0 (95% confidence interval [CI] 10.1-11.8) fewer emergency department visits per 1000 rostered patients. After controlling for covariates, we observed no statistically significant change in emergency department visits per 1% increase in the proportion of virtual visits (0.2, 95% CI -0.5 to 0.9). INTERPRETATION: We did not find evidence that patients substituted emergency department visits in the context of decreased availability of in-person care with their family physician during the first year of the COVID-19 pandemic. Future research should focus on the long-term impact of virtual care on access and quality of patient care.

COVID-19 and the duration of operating room procedures in Ontario: a population-based retrospective study.

BACKGROUND: Studies have estimated that a large backlog of procedures was generated by emergency measures implemented in Ontario, Canada, at the onset of the COVID-19 pandemic, when nonessential and scheduled procedures were postponed. Understanding the impact of the COVID-19 pandemic on the time needed to perform a procedure may help to determine the resources needed to tackle the substantial backlog caused by the deferral of cases. The purpose of this study was to examine the duration of operating room (OR) procedures before and after the onset of the COVID-19 pandemic to inform planning around changes in required resources. METHODS: A population-based, retrospective cohort study was conducted using Ontario Health Insurance Plan claims data and other administrative health care data from Apr. 1, 2019, to Sept. 30, 2020. Statistical analysis was conducted using multivariate regression, with procedure duration as the outcome variable. RESULTS: Results showed that the average duration of nonelective procedures increased by 34 minutes during the COVID-19 period and by 19 minutes after the resumption of scheduled procedures. Controlling for physician, patient and hospital characteristics, and the procedure code submitted, procedure duration increased by 12 minutes in the nonelective COVID-19 period and by 5 minutes when scheduled procedures resumed, compared with the pre-COVID-19 period. CONCLUSION: Procedures may take longer in the COVID-19 period. This will affect wait times, which had already increased because of the deferral of procedures at the beginning of the pandemic, and will have an impact on Ontario's ability to provide patients with timely care.

Pancreatic stone protein point-of-care testing can reduce healthcare expenditure in sepsis.

BACKGROUND: Sepsis is a life-threatening organ dysfunction in response to infection. Early recognition and rapid treatment are critical to patient outcomes and cost savings, but sepsis is difficult to diagnose because of its non-specific symptoms. Biomarkers such as pancreatic stone protein (PSP) offer rapid results with greater sensitivity and specificity than standard laboratory tests. METHODS: This study developed a decision tree model to compare a rapid PSP test to standard of care in the emergency department (ED) and intensive care unit (ICU) to diagnose patients with suspected sepsis. Key model parameters included length of hospital and ICU stay, readmission due to infection, cost of sepsis testing, length of antibiotic treatment, antibiotic resistance, and clostridium difficile infections. Model inputs were determined by review of sepsis literature. RESULTS: The rapid PSP test was found to reduce costs by $1688 per patient in the ED and $3315 per patient in the ICU compared to standard of care. Cost reductions were primarily driven by the specificity of PSP in the ED and the sensitivity of PSP in the ICU. CONCLUSIONS: The results of the model indicate that PSP testing is cost saving compared to standard of care in diagnosis of sepsis. The abundance of sepsis cases in the ED and ICU make these findings important in the clinical field and further support the potential of sensitive and specific markers of sepsis to not only improve patient outcomes but also reduce healthcare expenditures.

Disparities in Physician Compensation by Gender in Ontario, Canada.

Importance: Men and women should earn equal pay for equal work. An examination of the magnitude of pay disparities could inform strategies for remediation. Objective: To examine gender-based differences in pay within a large, comprehensive physician population practicing within a variety of payment systems. Design, Setting, and Participants: This cross-sectional study used data from the Ontario Health Insurance Plan (OHIP) in the 2017 to 2018 fiscal year to estimate differences in gross payments between men and women physicians in Ontario, Canada. Pay gaps were calculated annually and daily. Regression analyses were used to control for observable practice characteristics that could account for individual differences in daily pay. In Canada's largest province, Ontario, medical services are predominantly provided by self-employed physicians who bill the province's single payer, OHIP. All physicians who submitted claims to OHIP were included. Data were analyzed from January 2020 to July 2021. Exposures: Physician gender, obtained from the OHIP Corporate Provider Database. Gender is recorded as male or female. Main Outcomes and Measures: Gross clinical payments were tabulated for individual physicians on a daily and annual basis in conjunction with each physician's practice characteristics, setting, and specialty. Results: A total of 31 481 physicians were included in the study sample (12 604 [40.0%] women; 18 877 [60.0%] men; mean [SD] time since graduation, 23.3 [13.6] years), representing 99% of active physicians in Ontario. The unadjusted differences in clinical payments between male and female physicians were 32.8% (95% CI, 30.8%-34.6%) annually and 22.5% (95% CI, 21.2%-23.8%) daily. After accounting for practice characteristics, region, and specialty, the overall daily payment gap was 13.5% (95% CI, 12.3%-14.8%). The pay gap persisted with differing magnitudes when examined by specialty (ranging from 6.6% to 37.6%), practice setting (8.3% to 17.2%), payment model (13.4% to 22.8% for family medicine; 8.0% to 11.6% for other specialties), and rurality (8.0% to 16.5%). Conclusions and Relevance: This cross-sectional study examined differences in magnitude of annual and daily payment gaps and between unadjusted and adjusted gaps. Comparing the gaps for different specialties, geography, and payment systems illustrated the complexity of the issue by showing that the pay gap varied for physicians in different practice settings. As such, multiple directed interventions will be necessary to ensure that all physicians are paid equally for equal work, regardless of gender.

Adoption of a laboratory EMR system and inappropriate laboratory testing in Ontario: a cross-sectional observational study.

BACKGROUND: Electronic medical record (EMR) systems have the potential to facilitate appropriate laboratory testing. We examined three common medical tests in primary care-hemoglobin A1c (HbA1c), lipid, and thyroid stimulating hormone (TSH)- to assess whether adoption of a laboratory EMR system in Ontario had an impact on the rate of inappropriate testing among primary care physicians. METHODS: We used FY2016-17 population-level laboratory data to estimate the association between adoption of a laboratory EMR system and the rate of inappropriate testing. Inappropriate testing was assessed based on recommendations for screening, monitoring, and follow-up that take into account risk factors related to patient age and certain clinical conditions. To overcome the problem of potential endogeneity of physician choice to use the EMR, the EMR penetration rate in the physician's geographical area of practice was used as an instrumental variable in an ordinary least squares (OLS) regression. We then simulated the change in the rate of inappropriate testing, by physician payment model, as the EMR penetration rate increased from the baseline percentage. RESULTS: The simulation models showed that an increase in the rate of EMR penetration from a baseline average was associated with a statistically significant decrease in inappropriate hbA1c and lipid testing, but a statistically insignificant increase in inappropriate TSH testing. The impact of EMR penetration also varied by payment model. CONCLUSIONS: This study demonstrated a positive association between availability of an EMR system and appropriate service utilization. Varying impacts of the EMR system availability by primary care payment model may be reflective of different incentives or attributes inherent in payment models. Policies to encourage physicians to increase their use of laboratory EMR systems could improve the quality and continuity of patient care.

Effect of Strict and Soft Policy Interventions on Laboratory Diagnostic Testing in Ontario, Canada: A Bayesian Structural Time Series Analysis.

Applications of behavioral economics targeted at optimizing laboratory utilization among physicians have been implemented in Ontario through different types of nonfinancial interventions. Strict policy interventions restrict Ontario Health Insurance Plan (OHIP) payment for tests to patients with specific conditions or limit ordering to particular physician specialties, while soft policy interventions involve modifications to the laboratory requisition form. This study evaluates the effectiveness of these interventions in terms of changing physician ordering behavior for eight tests that were subject to a strict or soft policy intervention during the study period. We use a Bayesian structural time series model applied to Ontario laboratory claims data for FY2006 through FY2017. Results show a 16-75% reduction in laboratory services with a strict policy intervention and an 8-36% reduction in laboratory services with a soft policy intervention. Although the overall magnitude of change was smaller for soft policy interventions, interventions designed with soft or strict policy mechanisms addressing laboratory utilization management are effective at influencing physicians' test ordering behavior.

Payment models in primary health care: A driver of the quantity and quality of medical laboratory utilization.

Physician payment models' incentives regarding many aspects of primary health care are not well understood. We focus on the case of medical laboratory utilization and examine how physicians' laboratory test ordering patterns change following a switch to a blended capitation payment model from one with fee for service enhanced with pay for performance. Also, within blended capitation, we examine differences between traditional staffing and interdisciplinary teams. Using a propensity score weighted fixed-effects specification to address selection, it is estimated that the switch to capitation leads to a short-run average of 3% fewer laboratory requisitions per patient. Patients' laboratory utilization also becomes more concentrated with the rostering physician. More importantly, using diabetes-related laboratory tests as a case study, after joining the blended model, physicians order 3% fewer inappropriate/redundant tests, and the addition of an interdisciplinary care team makes the reduction about 9%. Advances in both continuity and quality seem to be associated with blended capitation.

Rates of inappropriate laboratory test utilization in Ontario.

BACKGROUND: Medical laboratory tests ordered redundantly represent one of the targets for reducing diagnostic testing without negatively, and possibly positively, affecting patient care. We study a clearly defined category of excessive laboratory utilization for nine analytes where inappropriate diagnostic testing is defined in terms of the time interval between tests; that is, ordering a test too soon following the previous order of the same test. METHODS: Population data from the near universal public Ontario Health Insurance Plan for the years 2006-2010 are employed where the tests are fulfilled by community medical laboratories. The analytes selected for consideration are thyroid stimulating hormone, hemoglobin A1c, lipid profile, serum protein electrophoresis, immunofixation, quantitative immunoglobulins, Vitamin D, Vitamin B12, and folate. RESULTS: For the nine analytes studied, the percentage of inappropriate tests ranged from 6% to 20%. Large proportions of these inappropriate tests were completed >2weeks prior to the minimum threshold to reorder defined by practice guidelines and/or were repeated excessively within a year. Between 60% and 85% of the time, the ordering physician of an inappropriate test was the same physician who ordered the previous test. Specialists were more likely than primary care physicians to order repeat tests too soon. CONCLUSIONS: A sizeable proportion of testing for these analytes was inappropriate according to practice guidelines. It is recommended that systems for preventing unnecessary repeat testing are investigated by the funding agencies and that reducing inappropriate testing be considered as a design element for electronic medical records and related information technology systems.