Physician Database Research Articles

Does the family physicians’ characteristics affect Cervical Cancer Screening rates?

IntroductionWhile the effectiveness of cervical cancer-screening (CCS) programs is well accepted, concern is growing regarding Family physicians (FP) poor adherence to CCS guidelines resulting in over and under screening. In Canada, it is a FP responsibility to ensure that the CCS is done as per guidelines and with appropriate follow-up.
 Objectives and ApproachTo identify primary care physicians’ characteristics that are associated with over and under CCS for eligible women in Calgary, Alberta.
 We accessed the Calgary Laboratory Services data for 1475 FPs practicing in Calgary and linked it with the Physicians database of College of Physicians and Surgeons Alberta database. We then matched FP’s gender, country and year of medical school graduation, years since medical school graduation, certification in family medicine and their clinic address with their CCS testing patterns. Using doctors as their own controls, we compared data from 2010-2016 to determine practice variations in CCS patterns subsequent to guideline changes.
 ResultsWe analyzed approximately 2,400,000 Pap test requisitions (approx. 300,000 per year) to identify screening patterns from 2010-2016 of 1475 family practitioners practicing in Calgary. Our preliminary results identified significant variations in the test ordering patterns of FPs. Approx. half of the male FPs were not performing CCS tests on their eligible female patients. Female FPs ordered more CCS tests than their male counterparts. FP trained in North America, were ordering more pap tests than FPS trained elsewhere. Decreased CSS was also observed among FPs practicing in Northeast Calgary.
 Conclusion/ImplicationsWe detected three CCS patterns: FPs who never perform CSS on eligible female patients; FPs who followed recommended guidelines for performing CCS tests and FPs who performed CCS tests, not following the guidelines. To ensure appropriate use of CSS, identifying intention-behavior relationships and innovative educational interventions for FPs are required.

Examination of High-Cost Patients in Ontario

IntroductionIn Ontario, the top 5% of high-cost users account for 66% of health care costs. The heavy use of resources combined with perceived inefficiencies offer an imperative to target strategies to redesign care to better meet patient needs and increase value.
 Objectives and ApproachAs part of a request submitted to the Applied Health Research Question (AHRQ) review team, the main objective of this study was to identify drivers of high health care use in Ontario in order to find better ways to improve the efficiency in healthcare delivery. Using data in fiscal year 2012/13, characteristics of the top 5% of high costs users were described, and further stratified by mental health status. Total spending by sector of care were also described. Data were linked including physician, hospital, medication and long term care databases for each patient.
 ResultsIn the top 5% of high-cost users, there were 729,870 patients who accounted for $20,179,208,348 of total healthcare spending in 2012/13, with the highest percentage of spending observed among older adults aged 61-80 years old. Mental health high-cost patients accounted for 6.1% of these patients, of which 51.5% were female, had a low socio-economic status and an average age of 44 years. These patients had an average of 4.9 (SD=2.3) ICD chapters and used an average of 8.7 (SD=3.8) drugs. Using the health accounts methodology (ICHA), as described by the OECD and WHO, over 90% of healthcare costs among the top 5% of high-cost patients were from inpatient care, day surgery and clinic care, physician care, outpatients drugs and inpatient rehabilitation and complex/continuing care.
 Conclusion/ImplicationsThis study provides a systematic description of the needs in a high cost patient group, and serves as a platform for international comparisons across healthcare systems to better understand gaps and identify targets for intervention. These cross-comparisons offer a tool to evaluate performance of healthcare systems and to prioritize policies.

Sex Differences in Faculty Rank Among Academic Surgeons in the United States in 2014.

The aim of this study was to evaluate sex differences in full professorship among a comprehensive, contemporary cohort of US academic surgeons. Previous work demonstrates that women are less likely than men to be full professors in academic medicine, and in certain surgical subspecialties. Whether sex differences in academic rank exist across all surgical fields, and after adjustment for confounders, is not known. A comprehensive list of surgeons with faculty appointments at US medical schools in 2014 was obtained from Association of American Medical Colleges (AAMC) faculty roster and linked to a comprehensive physician database from Doximity, an online physician networking website, which contained the following data for all physicians: sex, age, years since residency, publication number (total and first/last author), clinical trials participation, National Institutes of Health grants, and surgical subspecialty. A 20% sample of 2013 Medicare payments for care was added to this dataset. Multivariable regression models were used to estimate sex differences in full professorship, adjusting for these variables and medical school-specific fixed effects. Among 11,549 surgeon faculty at US medical schools in 2014, 1692 (14.7%) were women. Women comprised 19.4% of assistant professors (1072/5538), 13.8% of associate professors (404/2931), and 7.0% of full professors (216/3080). After multivariable analysis, women were less likely to be full professors than men (adjusted odds ratio: 0.76, 95% confidence interval: 0.6-0.9). Among surgical faculty at US medical schools in 2014, women were less likely than men to be full professors after adjustment for multiple factors known to impact faculty rank.

Registry Cohort Study to Determine Risk for Multiple Sclerosis after Vaccination for Pandemic Influenza A(H1N1) with Arepanrix, Manitoba, Canada.

To investigate a potential risk for multiple sclerosis (MS) after vaccination with Arepanrix, the GlaxoSmithKline AS03-adjuvanted influenza A(H1N1)pdm09 vaccine, we used the provincewide immunization registry for Manitoba, Canada, to match 341,347 persons vaccinated during the 2009 pandemic to 485,941 unvaccinated persons on age, sex, address, and a propensity score measuring the probability of vaccination. We used a previously validated algorithm to identify MS cases from provincial hospital, physician, and prescription drug claims databases. After 12 months of follow-up, the age-adjusted incidence rate of MS was 17.7 cases per 100,000 person-years in the Arepanrix cohort and 24.2 per 100,000 in the unvaccinated cohort. The corresponding adjusted hazard ratio was 0.9. We observed similar patterns when we measured incidence over the entire follow-up period. The AS03 adjuvant, a candidate for inclusion in future pandemic vaccines, does not appear to increase the short-term risk for MS when included in influenza vaccines.

P155: Utilization of personal mobile devices to record patient data by emergency physicians and residents

Introduction: The use of personal mobile devices to record patient data appears to be increasing, but remains poorly studied. We sought to determine the magnitude and purposes for which Canadian emergency physicians (EPs) and residents use their personal mobile devices (PMDs) to record patient data in the emergency department (ED). Methods: An anonymous survey was distributed to EPs and residents in the Canadian Association of Emergency Physicians (CAEP) database between 27/02/17 and 23/03/17. The survey captured demographic information and information on frequency and purpose of PMD use in the ED, whether consent was obtained, how the information was secured, and any possible implications for patient care. Participants were also asked about knowledge of, and any perceived restrictions from, current regulations regarding the use of PMDs healthcare settings. Results: The survey response rate was 23.1%. Of 415 respondents, 9 surveys were rejected for incomplete demographic data, resulting in 406 participants. A third (31.5%, 128/406, 95% CI 27.0-36.3) reported using PMDs to record patient data. Most (78.1%) reported doing so more than once a month and 7.0% reported doing so once every shift. 10.9% of participants indicated they did not obtain written or verbal consent. Reasons cited by participants for using PMDs to record patient data included a belief that doing so improves care provided by consultants (36.7%), expedites patient care (31.3%), and improves medical education (32.8%). 53.2% of participants were unaware of current regulations and 19.7% reported feeling restricted by them. Subgroup analysis suggested an increased frequency of PMD use to record patient data among younger physicians and physicians in rural settings. Conclusion: This is the first known Canadian study on the use of PMDs to record patient data in the ED. Our results suggest that this practice is common, and arises from a belief that doing so enhances patient care through better communication, efficiency, and education. Our findings also suggest current practices result in risk of both privacy and confidentiality breaches, and thus support arguments for both physician education and regulation reform.

Medicare Accountable Care Organizations of Diverse Structures Achieve Comparable Quality and Cost Performance.

To examine whether an empirically derived taxonomy of Accountable Care Organizations (ACOs) is associated with quality and spending performance among patients of ACOs in the Medicare Shared Savings Program (MSSP). Three waves of the National Survey of ACOs and corresponding publicly available Centers for Medicare & Medicaid Services performance data for NSACO respondents participating in the MSSP (N=204); SK&A Office Based Physicians Database from QuintilesIMS. We compare the performance of three ACO types (physician-led, integrated, and hybrid) for three domains: quality, spending, and likelihood of achieving savings. Sources of performance variation within and between ACO types are compared for each performance measure. There is greater heterogeneity within ACO types than between ACO types. There were no consistent differences in quality by ACO type, nor were there differences in likelihood of achieving savings or overall spending per-person-year. There was evidence for higher spending on physician services for physician-led ACOs. ACOs of diverse structures perform comparably on core MSSP quality and spending measures. CMS should maintain its flexibility and continue to support participation of diverse ACOs. Future research to identify modifiable organizational factors that account for performance variation within ACO types may provide insight as to how best to improve ACO performance based on organizational structure and ownership.

Personal and Professional Characteristics of U.S. Dual-Boarded Critical Care Cardiologists in 2015.

Evaluate the characteristics of U.S. physicians who are board certified in cardiology and critical care medicine ("dual-boarded cardiologists"). Retrospective cross-sectional study using a comprehensive database of licensed U.S. physicians linked to Medicare claims. The United States. Dual-boarded cardiologists. We used a comprehensive physician database to identify all physicians who were board certified in cardiology and critical care medicine before July 2015. We assessed physicians' characteristics and compared dual-boarded cardiologists with and without active board certification in critical care medicine and estimated the maximum proportion of 2014 Medicare Cardiac ICU admissions treated by dual-boarded cardiologists. Among 473 dual-boarded cardiologists, 16 (3.4%) were women; 468 (99%) and 85 (18%) maintained active board certification in cardiology and critical care medicine, respectively. Overall, 98 dual-boarded cardiologists (21%) submitted 1,215 total claims for critical care services in 2014. Compared to dual-boarded cardiologists without active board certification in critical care medicine, those with active certification had more publications (median publications: 6.5 vs 3.0; p = 0.002), were more likely to be professors (22.3% vs 9.5%; p = 0.003), and were more likely to bill Medicare for critical care services (29% vs 17.8%; p = 0.002). We estimated that no more than 0.47% of all 2014 Medicare Cardiac ICU admissions were treated by a dual-boarded cardiologist. Dual-boarded cardiologists appear to deliver a small proportion of all Cardiac ICU services received by Medicare beneficiaries. Optimizing the modern Cardiac ICU workforce will require greater efforts to promote and support the training of dual-boarded cardiologists.

Sex Differences in Radiologist Salary in U.S. Public Medical Schools.

The purpose of this study was to evaluate salary differences between male and female academic radiologists at U.S. medical schools. Laws in several U.S. states mandate public release of government records, including salary information of state employees. From online salary data published by 12 states, we extracted the salaries of all academic radiologists at 24 public medical schools during 2011-2013 (n = 573 radiologists). In this institutional review board-approved cross-sectional study, we linked these data to a physician database with information on physician sex, age, faculty rank, years since residency, clinical trial involvement, National Institutes of Health (NIH) funding, scientific publications, and clinical volume measured by 2013 Medicare payments. Sex difference in salary, the primary outcome, was estimated using a multilevel logistic regression adjusting for these factors. Among 573 academic radiologists, 171 (29.8%) were women. Female radiologists were younger (48.5 vs 51.6 years, p = 0.001) and more likely to be assistant professors (50.9% [87/171] vs 40.8% [164/402], p = 0.026). Salaries between men and women were similar in unadjusted analyses ($290,660 vs $289,797; absolute difference, $863; 95% CI, -$18,363 to $20,090), and remained so after adjusting for age, faculty rank, years since residency, clinical trial involvement, publications, total Medicare payments, NIH funding, and graduation from a highly ranked medical school. Among academic radiologists employed at 24 U.S. public medical schools, male and female radiologists had similar annual salaries both before and after adjusting for several variables known to influence salary among academic physicians.

Predicting who applies to Public Housing using Linked Administrative Data

ABSTRACT
 ObjectivePublic housing residents, who live in low income government rental housing, are often in poorer health than the rest of the population. However, few studies have been able to untangle the relationships between health and public housing residency, and to assess whether health contributes to the decision to apply. We used linked population-based administrative data from one Canadian province to compare the health and health service use of people who applied to public housing to that of people who did not apply.
 ApproachAdministrative data housed in the Manitoba Centre for Health Policy’s Population Health Research Data Repository were used to identify a cohort of individuals who applied to public housing in 2005 and 2006. They were matched one-to-one to a cohort from the general population using socio-demographic variables. A population registry provided demographic and geographic characteristics. Economic measures included receipt of income assistance and an area-level measure from the Statistics Canada Census. Measures of health and health service use were derived from hospital, physician, emergency department, and prescription drug databases. Conditional logistic regression was used to test the association between a public housing application and health status and health service use, after controlling for income.
 ResultsThere were 10,324 individuals in each of the public housing applicant and matched cohorts; the majority were female (72.4%), young (62% less than 40 years), urban residents (61.2%), and received income assistance (52.8%). A higher percent of the public housing applicant cohort had physician-diagnosed physical and mental health conditions and used more health services compared to the matched cohort. Having a physician-diagnosed respiratory illness (odds ratio [OR] = 1.14, 95% confidence interval [CI] 1.05,1.25), diabetes (OR = 1.24, 95% CI 1.09,1.40), schizophrenia (OR = 1.58, 95% CI 1.30,1.92), affective disorders (OR = 1.37, 95% CI 1.27,1.48), and substance abuse disorders (OR = 1.46, 95% CI 1.25,1.71) were associated with an increased likelihood of applying for public housing, while being diagnosed with cancer (OR = 0.76, 95% CI 0.61,0.96) was associated with a decreased likelihood of applying, after controlling for income differences. High health service users were also more likely to apply for public housing, after controlling for income differences.
 ConclusionIndividuals who move into public housing are in poor health before they apply. Health and social service supports that are co-located with public housing facilities may help to ensure that residents have successful tenancies.

Health Care Professionals' Evidence-Based Medicine Internet Searches Closely Mimic the Known Seasonal Variation of Lyme Borreliosis: A Register-Based Study.

BackgroundBoth health care professionals and nonprofessionals seek medical information on the Internet. Using Web-based search engine searches to detect epidemic diseases has, however, been problematic. Physician’s databases (PD) is a chargeable evidence-based medicine (EBM) portal on the Internet for health care professionals and is available throughout the entire health care system in Finland. Lyme borreliosis (LB), a well-defined disease model, shows temporal and regional variation in Finland. Little data exist on health care professionals’ searches from Internet-based EBM databases in public health surveillance.ObjectiveThe aim of this study was to assess whether health care professionals’ use of Internet EBM databases could describe seasonal increases of the disease and supplement routine public health surveillance.MethodsTwo registers, PD and the register of primary health care diagnoses (Avohilmo), were used to compare health care professionals’ Internet searches on LB from EBM databases and national register-based LB diagnoses in order to evaluate annual and regional variations of LB in the whole country and in three selected high-incidence LB regions in Finland during 2011-2015.ResultsBoth registers, PD and Avohilmo, show visually similar patterns in annual and regional variation of LB in Finland and in the three high-incidence LB regions during 2011-2015.ConclusionsHealth care professionals’ Internet searches from EBM databases coincide with national register diagnoses of LB. PD searches showed a clear seasonal variation. In addition, notable regional differences were present in both registers. However, physicians’ Internet medical searches should be considered as a supplementary source of information for disease surveillance.

Protocol for determining primary healthcare practice characteristics, models of practice and patient accessibility using an exploratory census survey with linkage to administrative data in Nova Scotia, Canada

IntroductionThere is little evidence on how primary care providers (PCPs) model their practices in Nova Scotia (NS), Canada, what services they offer or what accessibility is like for the average...

Sex Differences in Faculty Rank Among Academic Cardiologists in the United States.

Studies demonstrate that women physicians are less likely than men to be full professors. Comprehensive evidence examining whether sex differences in faculty rank exist in academic cardiology, adjusting for experience and research productivity, is lacking. Therefore, we evaluated for sex differences in faculty rank among a comprehensive, contemporary cohort of US cardiologists after adjustment for several factors that impact academic advancement, including measures of clinical experience and research productivity. We identified all US cardiologists with medical school faculty appointments in 2014 by using the American Association of Medical Colleges faculty roster and linked this list to a comprehensive physician database from Doximity, a professional networking website for doctors. Data on physician age, sex, years since residency, cardiology subspecialty, publications, National Institutes of Health grants, and registered clinical trials were available for all academic cardiologists. We estimated sex differences in full professorship, adjusting for these factors and medical school-specific fixed effects in a multivariable regression model. Among 3810 cardiologists with faculty appointments in 2014 (13.3% of all US cardiologists), 630 (16.5%) were women. Women faculty were younger than men (mean age, 48.3 years versus 53.5 years, P<0.001), had fewer total publications (mean number: 16.5 publications versus 25.2 publications; P<0.001), were similarly likely to have National Institutes of Health funding (proportion with at least 1 National Institutes of Health award, 10.8% versus 10.4%; P=0.77), and were less likely to have a registered clinical trial (percentage with at least 1 clinical trial, 8.9% versus 11.1%; P=0.10). Among 3180 men, 973 (30.6%) were full professors in comparison with 100 (15.9%) of 630 women. In adjusted analyses, women were less likely to be full professors than men (adjusted odds ratio, 0.63; 95% confidence interval, 0.43-0.94; P=0.02; adjusted proportions, 22.7% versus 26.7%; absolute difference, -4.0%; 95% confidence interval, -7.5% to -0.7%). Among cardiology faculty at US medical schools, women were less likely than men to be full professors after accounting for several factors known to influence faculty rank.

Combining Geospatial Analysis with Dementia Risk Utilising General Practice Data: A Systematic Review.

Geographical information systems (GIS) and geospatial analysis techniques will help to identify significant dementia risk clusters (hotspots) across communities and will enable policy makers to target prevention interventions to the right place. This review synthesises the published literature on geospatial analysis techniques for quantifying and mapping dementia risk, and reviews available dementia risk assessment tools. A systematic literature review was undertaken in four medical and life sciences databases (PubMed, Cochrane Central, Embase, and Web of Sciences) from their inception to March 2017 for all articles relating to dementia. The search terms included: 'dementia', 'Alzheimer's disease', 'general practice database', 'family physician', 'AD risk assessment tools', 'Geographical Information Systems' and 'geospatial analysis', 'geographical variation' and 'spatial variation'. To date, most geospatial studies on dementia have been carried out retrospectively using population based data. An alternative approach is utilisation of a rich source of general practice (family physician) databases to predict dementia risk based on available dementia risk assessment tools. In conclusion, the estimated risks of dementia can thus be geo-attributed and mapped at a small scale using geographical information systems and geospatial analysis techniques to identify dementia risk clusters across the communities and refine our understanding of the interaction between socio-demographic and environmental factors, and dementia risk clusters. .

Map the Gap: Using Regional Mapping to Determine the State of the Infectious Diseases Workforce with Regards to Health Care Associated Infections and Sepsis Mortality

Background Methicillin-resistant staphylococcus aureus (MRSA), central line associated with blood stream infections (CLABSIs), catheter associated urinary tract infections (CAUTIs) and surgical site infections (SSIs) are health care associated infections (HAIs) which are a massive burden on the health care system. These issues are closely linked with reimbursement and outcomes. It is postulated that the spread of these health care associated infections is linked closely with mortality from sepsis.Methods De identified data about the number of board certified Infectious Disease (ID) physicians by zip code was obtained from the Doximity physician database. We then conducted a descriptive analysis using mortality data from the National Center for Health Statistics’(NCHS), Compressed Mortality File (CMF), which contains descriptive data on the age, race, sex, year and causes of all deaths in the US. We defined sepsis death as death attributed to an infection. In addition, the location of current ID fellowships was obtained from the National Residency Matching Program (NRMP) public data. These were mapped using Google fusion tables and the results compared with CDC databases: prevalence of MRSA, CLABSIs, CAUTIs and SSIs.ResultsA total 147 fellowship programs and 7129 board certified physicians were identified in ID. Mortality from sepsis was highest in states: Arkansas, Louisiana, Mississippi, Tennessee, Kentucky, West Virginia and Florida, which correlated with the highest prevalence of MRSA, CLABSIs, CAUTIs and SSIs. ID fellowships and board certified physicians on the other hand tend to be concentrated on the East coast and the metropolitan cities of the West. Studies have also shown in the past that physicians tend to practice in geographical locations where they completed their training.Conclusion The use of this novel social network mapping approach to assess the Infectious Diseases physician workforce has the potential of providing real-time data regarding their geographical spread. HAIs and mortality from sepsis tend to be higher in locations with fewer ID fellowships and board certified physicians. This problem could be addressed by rebalancing interventions and focussing on efforts to match the work force with the prevalence of HAIs and locations with higher sepsis mortality.Disclosures All authors: No reported disclosures.

Gender Differences in Academic Rank of Radiologists in U.S. Medical Schools.

Purpose To determine whether there were gender differences in full professorship after accounting for factors known to influence academic advancement. Materials and Methods Institutional review board approval was obtained for this HIPAA-compliant study, with waiver of informed consent. In this cross-sectional study, the authors used a comprehensive 2014 physician database (5089 academic radiologists, inclusive of all U.S. academic radiologists in 2014; 11.3% of all U.S. radiologists) containing information on physician age, years since residency, National Institutes of Health funding, scientific publications (first or last author and total), clinical trial investigation, and clinical volume measured according to 2013 Medicare reimbursement. Primary outcome of gender differences in full professorship was estimated by using a multilevel logistic regression model adjusting for these factors. Results Among 5089 academic radiologists, 3638 (71.5%) were men. The average age for male and female radiologists was 52 and 49 years, respectively. Overall, 239 women (16.5%) and 948 (26.1%) men were full professors (P < .001). Women had fewer total and first or last author publications than men (total, 12.2 vs 17.6; first or last, 6.8 vs 10.7; P < .001 for both comparisons). Women were less likely than men to have National Institutes of Health funding (2.0% vs 3.6%; P = .004) and generated less annual Medicare revenue ($63 346 vs $75 854; P = .001). After multivariate adjustment, rates of full professorship among female and male radiologists were not significantly different (absolute adjusted difference for female vs male radiologists, -1.5%; 95% confidence interval: -3.8%, 0.9%). Conclusion Among radiologists with U.S. medical school faculty appointments in 2014, men and women were similarly likely to be full professor after several factors known to influence promotion were taken into account. However, unadjusted differences in promotion and research productivity were present, which suggests that female radiologists may lack equal research opportunities. © RSNA, 2016.

Positive Predictive Value of Physician Database Diagnostic Codes for Identifying Crohnʼs Disease

Positive Predictive Value of Physician Database Diagnostic Codes for Identifying Crohnʼs Disease

Sex Differences in Physician Salary in US Public Medical Schools.

Limited evidence exists on salary differences between male and female academic physicians, largely owing to difficulty obtaining data on salary and factors influencing salary. Existing studies have been limited by reliance on survey-based approaches to measuring sex differences in earnings, lack of contemporary data, small sample sizes, or limited geographic representation. To analyze sex differences in earnings among US academic physicians. Freedom of Information laws mandate release of salary information of public university employees in several states. In 12 states with salary information published online, salary data were extracted on 10 241 academic physicians at 24 public medical schools. These data were linked to a unique physician database with detailed information on sex, age, years of experience, faculty rank, specialty, scientific authorship, National Institutes of Health funding, clinical trial participation, and Medicare reimbursements (proxy for clinical revenue). Sex differences in salary were estimated after adjusting for these factors. Physician sex. Annual salary. Among 10 241 physicians, female physicians (n = 3549) had lower mean (SD) unadjusted salaries than male physicians ($206 641 [$88 238] vs $257 957 [$137 202]; absolute difference, $51 315 [95% CI, $46 330-$56 301]). Sex differences persisted after multivariable adjustment ($227 783 [95% CI, $224 117-$231 448] vs $247 661 [95% CI, $245 065-$250 258] with an absolute difference of $19 878 [95% CI, $15 261-$24 495]). Sex differences in salary varied across specialties, institutions, and faculty ranks. For example, adjusted salaries of female full professors ($250 971 [95% CI, $242 307-$259 635]) were comparable to those of male associate professors ($247 212 [95% CI, $241 850-$252 575]). Among specialties, adjusted salaries were highest in orthopedic surgery ($358 093 [95% CI, $344 354-$371 831]), surgical subspecialties ($318 760 [95% CI, $311 030-$326 491]), and general surgery ($302 666 [95% CI, $294 060-$311 272]) and lowest in infectious disease, family medicine, and neurology (mean income, <$200 000). Years of experience, total publications, clinical trial participation, and Medicare payments were positively associated with salary. Among physicians with faculty appointments at 24 US public medical schools, significant sex differences in salary exist even after accounting for age, experience, specialty, faculty rank, and measures of research productivity and clinical revenue.

Using Conjoint Analysis to Elicit GPs' Preferences for Family Physician Contracts: A Case Study in Iran.

BackgroundFamily physician plans in Iran face several challenges, one of which is developing attractive and efficient contracts that motivate physicians to participate in the plan.ObjectivesThis study aimed to elicit GPs’ preferences for family physician contracts.Patients and MethodsIn a cross-sectional study using the conjoint analysis technique, 580 GPs selected from the family physician database in Iran in 2014. Through qualitative and quantitative methods, 18 contract scenarios were developed via orthogonal design i.e., the impact of each attribute is measured independently from changes in other attributes and a questionnaire was developed. Data were collected through this questionnaire and analyzed using the ordered logistic regression (OLR) model.ResultsThe results show that “quotas for admission to specialized courses” is the strongest preference of GPs (β = 1.123). In order of importance, the other preferences are having the right to provide services outside of the specified package (β = 0.962), increased number of covered population (β = 0.814), capitation payment + 15% bonus (β = 0.644), increased catchment area to 5 km (β = 0.349), and increased length of contract to five years (β = 0.345).ConclusionsThe conjoint analysis results show that GPs concerned about various factors of family physician contracts. These results can be helpful for policy-makers as they complete the process of creating family physician plans, which can help increase the motivation of GPs to participate in the plan.

Adequacy of the ophthalmology workforce under Ontario’s Local Health Integration Networks

ObjectiveTo determine the current distribution of ophthalmologists across Ontario’s Local Health Integration Networks (LHINs) and the influence on LHIN-specific cataract surgery wait times. DesignCross-sectional study. ParticipantsOphthalmologists listed in the College of Physicians and Surgeons (CPSO) database and the Canadian population. MethodsA list of ophthalmologists and their practice locations were obtained from the CPSO website. The total population count for Ontario was obtained from the Statistics Canada census. The population counts for the population aged 65 years and older were generated using the Canadian Socioeconomic Information Management System (CANSIM) table 109-5425. Cataract surgery wait times were obtained from the Ontario Ministry of Health. Statistical analysis was completed using Microsoft Excel using StatPlus software. ResultsThere are currently 3.28 ophthalmologists per 100 000 total population in Ontario. LHIN-specific ratios ranged from 8.87 (Toronto Central) to 1.67 (Central West), with 3 out of 14 LHINs having met the previously recommended ratio of 3.37. Median cataract surgery wait times ranged from 30 to 72 days. Although the number of cataract surgeries performed was positively correlated with the population aged 65 years and older (p < 0.001), there was no statistically significant association between wait times and number of cataract cases per 1000 population (p = 0.41). ConclusionsAlthough Ontario appears to have a sufficient number of ophthalmologists overall, there is significant variation in the distribution of the ophthalmology workforce at the LHIN level. This variation did not appear to significantly influence LHIN-specific cataract surgery wait times.

Establishment of a Representative Practice-based Research Network (PBRN) for the Monitoring of Primary Care in Switzerland.

Data are urgently needed to better understand processes of care in Swiss primary care (PC). A total of 2027 PC physicians, stratified by canton, were invited to participate in the Swiss Primary care Active Monitoring network, of whom 200 accepted to join. There were no significant differences between participants and a random sample drawn from the same physician databases based on sex, year of obtaining medical school diploma, or location. The Swiss Primary care Active Monitoring network represents the first large-scale, nationally representative practice-based research network in Switzerland and will provide a unique opportunity to better understand the functioning of Swiss PC.