The Efficiency of self-employed general practitioners and factors affecting it: a study in Iran.

OBJECTIVE: Physicians as an economic firm make use of available resources such as time, human forces and space to provide healthcare services. The current study aimed at estimating the technical efficiency of Iranian self-employed general practitioners (GPs) and its effective factors using data envelopment analysis and regression analysis. RESULTS: About 2% of the GPs were fully efficient and the remaining (98%) were inefficient. Almost, 2.09% of the physicians had constant returns to scale, and 31.41% and 66.49% of them had increasing and decreasing returns to scale, respectively. According to the regression estimates, gender (female) (ß = 3.776, P = 0.072), age (ß = 0.475, P = 0.013), practice experience (ß = - 0.477, P = 0.015), contract with the insurer (ß = - 6.475, P = 0.005) and economic expectations (ß = 1.939, P = 0.014) showed significant effect on GPs inefficiency. Most of the GPs surveyed did not optimally allocate their time and physical and human resources to provide their services. Female GPs, older ones, those with fewer practice experience, those with higher economic expectations, and the GPs with no insurance contract were more inefficient. Increasing the insurance coverage of self-employed GPs and providing them with training in office economic management can reduce their inefficiency.

Use of Image-Based Analytics for Ultrasound Practice Management and Efficiency Improvement.

Our ultrasound practice is becoming even more focused on managing practice resources and improving our efficiency while maintaining practice quality. We often encounter questions related to issues such as equipment utilization and management, study type statistics, and productivity. We are developing an analytics system to allow more evidence-based management of our ultrasound practice. Our system collects information from tens of thousands of DICOM images produced during exams, including structured reporting, public and private DICOM headers, and text within the images via optical character recognition (OCR). Inventory/location information augments the data aggregation, and statistical analysis and metrics are computed such as median exam length (time from the first image to last), transducer models used in an exam, and exams performed in a particular room, practice location, or by a given sonographer. Additional reports detail the length of a scan room's operational day, the number and type of exams performed, the time between exams, and summary data such as exams per operational hour and time-based room utilization. Our findings have already helped guide practice decisions: two defective probes were not replaced (a savings of over $10,000) when utilization data showed that three or more of the shared probe model were always idle; neck exams are the most time-consuming individually, but abdomen exam volumes cause them to consume the most total scan time, making abdominal exams the better candidates for efficiency optimization efforts. A small subset of sonographers exhibit the greatest scanning and between-scan efficiency, making them good candidates for identifying best practices.

[Analysis of final judgements in cases of medical negligence occurred in Ukraine].

OBJECTIVE: Introduction: The peculiarities of the disadvantages of providing medical care in Ukraine are not well-known abroad. The aim: To study the peculiarities of court decisions in cases of unfavorable consequences of medical activity. PATIENTS AND METHODS: Materials and methods: The article analyzes the official data of the General Prosecutor's Office of Ukraine and the website of court decisions regarding criminal cases against medical practitioners. RESULTS: Review: Approximately 600 cases of alleged medical malpractice cases are registered annually in Ukraine. Only less than one percent of them are brought to the court. The guilt of medical practitioners was proven in majority (80,8%) of court decisions. Acquittals of defendants were pronounced in 5,9% of court verdicts. Obstetrics and gynecology, surgery, internal medicine and anesthesiology are in the top of high-risk medical specialties. CONCLUSION: Conclusions: Majority of medical malpractice litigations are sued in Ukraine baselessly. In cases of medical negligence majority of defendants are acquitted as usual.

Examining the Gap: Compensation Disparities between Male and Female Physician Assistants.

BACKGROUND: Compensation disparities between men and women have been problematic for decades, and there is considerable evidence that the gap cannot be entirely explained by nongender factors. The current study examined the compensation gap in the physician assistant (PA) profession. METHODS: Compensation data from 2014 was collected by the American Academy of PAs in 2015. Practice variables, including experience, specialty, and hours worked, were controlled for in an ordinary least-squares sequential regression model to examine whether there remained a disparity in total compensation. In addition, the absolute disparity in compensation was compared with historical data collected by American Academy of PAs over the previous 1.5 decades. RESULTS: Without controlling for practice variables, a total compensation disparity of $16,052 existed between men and women in the PA profession. Even after PA practice variables were controlled for, a total compensation disparity of $9,695 remained between men and women (95% confidence interval, $8,438-$10,952). A 17-year trend indicates the absolute disparity between men and women has not lessened, although the disparity as a percent of male compensation has decreased in recent years. CONCLUSIONS: There remain challenges to ensuring pay equality in the PA profession. Even when compensation-relevant factors such as experience, hours worked, specialty, postgraduate training, region, and call are controlled for, there is still a substantial gender disparity in PA compensation. Remedies that may address this pay inequality include raising awareness of compensation disparities, teaching effective negotiation skills, assisting employers as they develop equitable compensation plans, having less reliance on past salary in position negotiation, and professional associations advocating for policies that support equal wages and opportunities, regardless of personal characteristics.

Patient satisfaction with ambulatory care in Germany: effects of patient- and medical practice-related factors.

OBJECTIVE: The study aimed to illustrate the effect of the patients' sex, age, self-rated health and medical practice specialization on patient satisfaction. DESIGN: Secondary analysis of patient survey data using multilevel analysis (generalized linear mixed model, medical practice as random effect) using a sequential modelling strategy. We examined the effects of the patients' sex, age, self-rated health and medical practice specialization on four patient satisfaction dimensions: medical practice organization, information, interaction, professional competence. SETTING: The study was performed in 92 German medical practices providing ambulatory care in general medicine, internal medicine or gynaecology. PARTICIPANTS: In total, 9888 adult patients participated in a patient survey using the validated 'questionnaire on satisfaction with ambulatory care-quality from the patient perspective [ZAP]'. MAIN OUTCOME MEASURE(S): We calculated four models for each satisfaction dimension, revealing regression coefficients with 95% confidence intervals (CIs) for all independent variables, and using Wald Chi-Square statistic for each modelling step (model validity) and LR-Tests to compare the models of each step with the previous model. RESULTS: The patients' sex and age had a weak effect (maximum regression coefficient 1.09, CI 0.39; 1.80), and the patients' self-rated health had the strongest positive effect (maximum regression coefficient 7.66, CI 6.69; 8.63) on satisfaction ratings. The effect of medical practice specialization was heterogeneous. CONCLUSIONS: All factors studied, specifically the patients' self-rated health, affected patient satisfaction. Adjustment should always be considered because it improves the comparability of patient satisfaction in medical practices with atypically varying patient populations and increases the acceptance of comparisons.

Fully Capitated Payment Breakeven Rate for a Mid-Size Pediatric Practice.

BACKGROUND AND OBJECTIVES: Payers are implementing alternative payment models that attempt to align payment with high-value care. This study calculates the breakeven capitated payment rate for a midsize pediatric practice and explores how several different staffing scenarios affect the rate. METHODS: We supplemented a literature review and data from >200 practices with interviews of practice administrators, physicians, and payers to construct an income statement for a hypothetical, independent, midsize pediatric practice in fee-for-service. The practice was transitioned to full capitation to calculate the breakeven capitated rate, holding all practice parameters constant. Panel size, overhead, physician salary, and staffing ratios were varied to assess their impact on the breakeven per-member per-month (PMPM) rate. Finally, payment rates from an existing health plan were applied to the practice. RESULTS: The calculated breakeven PMPM was $24.10. When an economic simulation allowed core practice parameters to vary across a broad range, 80% of practices broke even with a PMPM of $35.00. The breakeven PMPM increased by 12% ($3.00) when the staffing ratio increased by 25% and increased by 23% ($5.50) when the staffing ratio increased by 38%. The practice was viable, even with primary care medical home staffing ratios, when rates from a real-world payer were applied. CONCLUSIONS: Practices are more likely to succeed in capitated models if pediatricians understand how these models alter practice finances. Staffing changes that are common in patient-centered medical home models increased the breakeven capitated rate. The degree to which team-based care will increase panel size and offset increased cost is unknown.

Benchmarking the Wilmer general eye services clinics: baseline metrics for surgical and outpatient clinic volume in an educational environment.

BACKGROUND: The Wilmer General Eye Services (GES) at the Johns Hopkins Hospital is the clinic where residents provide supervised comprehensive medical and surgical care to ophthalmology patients. The clinic schedule and supervision structure allows for a progressive increase in trainee responsibility, with graduated autonomy and longitudinal continuity of care over the three years of ophthalmology residency training. This study sought to determine the number of cases the GES contributes to the resident surgical experiences. In addition, it was intended to create benchmarks for patient volumes, cataract surgery yield and room utilization as part of an educational initiative to introduce residents to metrics important for practice management. METHODS: The electronic surgical posting system database was explored to determine the numbers of cases scheduled for patients seen by residents in the GES. In addition, aggregated residents' self-reported Accreditation Council for Graduate Medical Education (ACGME) surgical logs were collected for comparison. Finally transactional databases were queried to determine clinic volumes of new and established patients. The proportion of resident surgeries (1(st) surgeon and assistant) provided by GES patients, cataract surgery yield and new patient rates were calculated. Data was collected from July 1(st), 2014 until March 31(st), 2015 for all 16 residents (6 third year, 5 second year and 5 first year). RESULTS: The percentage of cataract, oculoplastics, cornea and glaucoma surgeries in which a resident was 1(st) surgeon and the patient came from the GES was 91.3, 76.1, 65.6, and 93.9 respectively. The new patient rate was 28.1% and room utilization was 50.4%. Cataract surgery yield was 29.2 DISCUSSION: The GES provides a significant proportion of primary surgeon opportunities for the residents, and in some instances, the majority of cases. Compared to benchmarks available for private practices, the new patient rate is high while the cataract surgery yield is low. The room utilization is lower than the 85% preferred by the hospital system. These are the first benchmarks of this type for an academic resident ophthalmology practice in the United States. CONCLUSIONS: Our study suggests that resident-hosted clinics can provide the majority of surgical opportunities for ophthalmology trainees, particulary with regard to cataract cases. However, because our study is the first academic resident practice to publish metrics of the type used in private practices, it is impossible to determine where our clinic stands compared to other training programs. Therefore, the authors strongly encourage ophthalmology training programs to explore and publish practice metrics. This will permit the creation of a benchmarking program that could be used to quantify efforts at enhancing ophthalmic resident education.

Feasibility of 48 quality indicators in ambulatory care in Germany: a cross-sectional observational study.

BACKGROUND: The National Association of Statutory Health Insurance Physicians develops quality indicators (QIs) for ambulatory care in Germany. This study explores the feasibility of a total of 48 QIs. METHODS: Cross-sectional observational study with primary data collection in writing from medical practices in 10 specialist fields of outpatient care. "Feasibility" covers 7 criteria for indicator assessment and data collection: applicability, availability, retrievability, complexity, relevance, reliability, and acceptance. A questionnaire consisting of 10 questions was used to evaluate these feasibility criteria for each indicator. Survey results were subjected to descriptive analysis. RESULTS: The analyzed sample comprises 103 participants who have been working as practice-based physicians for an average of 13 years. 40% only keep electronic medical records and 2% only paper records, and the rest uses both. The rating of QIs in the field-specific QI sets shows the following mean values: 67% of the participants consider the QIs assigned to them as corresponding to their practice care mandate. Data on these QIs deemed to be applicable are collected by 94% of respondents, documented by 91%, and by 51% electronically. 58% of the data required for the denominator, and 38% for the numerator are retrievable from the practice management system. The time required to access data on a QI is more than 30minutes for 84% of respondents, and 67% consider the effort involved as unacceptable. The rating received was 61% for the relevance of QIs to the assessment of a practitioner's own quality of health care, 69% for the estimated reliability of data collection, and 58% for the acceptance of being evaluated via QIs. CONCLUSIONS: In order to improve the feasibility of QI-based practice assessments it will be necessary to a) fine-tune the selection of QIs for the respective groups of specialist, b) to promote the use of computerized practice management systems, and c) integrate effective and user-friendly retrieval functions in the software. Another aspect to be explored is how the acceptance of QI-based practice evaluations can be improved in individual specialist fields.

The "Fourth Mission": The Time Commitment of Anesthesiology Faculty for Management Is Comparable to Their Time Commitments to Education, Research, and Indirect Patient Care.

Academic anesthesia departments have management responsibilities (e.g., coordinating sedation, directing the operating rooms [ORs], informatics, ongoing professional performance evaluation, staff scheduling, and workroom inventory management). For each of the 64 faculty, a survey sampled 10 weekdays and 4 weekend days of professional activity over N=56 days. Faculty time in managerial activities was 126% of time spent on education, 107% of time spent in research, and 112% of time spent on mandatory indirect clinical support (e.g., fire safety training). The 95% lower confidence limits calculated using Fieller's theorem were 107%, 89%, and 91%, respectively. Corresponding bootstrap limits were 107%, 89%, and 90%, respectively. Thus, although our College of Medicine tripartite mission includes clinical care, education, and research, administrative activities constitute a "fourth mission" of our department.

Longitudinal cohort study describing persistent frequent attenders in Australian primary healthcare.

OBJECTIVES: To describe patterns of frequent attendance in Australian primary care, and identify the prospective risk factors for persistent frequent attendance. DESIGN, SETTING AND PARTICIPANTS: This study draws on data from the Personality and Total Health (PATH) Through Life Project, a representative community cohort study of residents from the Canberra region of Australia. Participants were assessed on 3 occasions over 8 years. The survey assessed respondents' experience of chronic physical conditions, self-reported health, symptoms of common mental disorders, personality, life events, sociodemographic characteristics and self-reported medication use. A balanced sample was used in analysis, comprising 1734 respondents with 3 waves of data. The survey data for each respondent were individually linked to their administrative health service use data which were used to generate an objective measure of general practitioner (GP) consultations in the 12 months surrounding their interview date. MAIN OUTCOME MEASURES: Respondents in the (approximate) highest decile of attenders on number of GP consultations over a 12-month period at each time point were defined as frequent attenders (FAs). RESULTS: Baseline FAs (8.4%) were responsible for 33.4% of baseline consultations, while persistent FAs (3.6%) for 15.5% of all consultations over the 3 occasions. While there was considerable movement between FA status over time, consistency was greater than expected by chance alone. While there were many factors that differentiated non-FAs from FAs in general, persistent frequent attendance was specifically associated with gender, baseline reports of depression, self-reported physical conditions and disability, and medication use. CONCLUSIONS: The degree of persistence in GP consultations was limited. The findings of this study contribute to our understanding of the risk factors that predict subsequent persistent frequent attendance in primary care. However, further detailed investigation of longitudinal patterns of frequent attendance and consideration of time-varying determinants of frequent attendance is required.

REACH of Interventions Integrating Primary Care and Behavioral Health.

PURPOSE: This study reports REACH (the extent to which an intervention or program was delivered to the identified target population) of interventions integrating primary care and behavioral health implemented by real-world practices. METHODS: Eleven practices implementing integrated care interventions provided data to calculate REACH as follows: 1) Screening REACH defined as proportion of target patients assessed for integrated care, and 2) Integrated care services REACH-defined as proportion of patients receiving integrated services of those who met specific criteria. Difference in mean REACH between practices was evaluated using t test. RESULTS: Overall, 26.2% of target patients (n = 24,906) were assessed for integrated care and 41% (n = 836) of eligible patients received integration services. Practices that implemented systematic protocols to identify patients needing integrated care had a significantly higher screening REACH (mean, 70%; 95% CI [confidence interval], 46.6-93.4%) compared with practices that used clinicians' discretion (mean, 7.9%; 95% CI, 0.6-15.1; P = .0014). Integrated care services REACH was higher among practices that used clinicians' discretion compared with those that assessed patients systematically (mean, 95.8 vs 53.8%; P = .03). CONCLUSION: REACH of integrated care interventions differed by practices' method of assessing patients. Measuring REACH is important to evaluate the extent to which integration efforts affect patient care and can help demonstrate the impact of integrated care to payers and policy makers.

What is a Breast Surgeon Worth? A Salary Survey of the American Society of Breast Surgeons.

BACKGROUND: Breast surgeons negotiating employment agreements have little national data available. To reduce this knowledge gap, the Education Committee of the American Society of Breast Surgeons conducted a survey of its membership. METHODS: In 2014, survey questionnaires were sent to society members. Data collected included gender, type of practice, percentage devoted to breast surgery, volume of breast cases, work relative value units, location, benefits, and salary. Descriptive statistics were provided, and a multinomial logistic regression was performed to analyze the impact of various potential factors on salary. RESULTS: Of the 2784 members, a total of 843 observations were included. Overall, 54% of respondents dedicated 100 % of their practice to breast surgery, 64.3% were female, and 40% were fellowship-trained in breast surgery or surgical oncology. The mean income in 2013 was $330.7k. Results from a multinomial model showed gender (p < 0.0001), ownership (p = 0.03), years of practice (p < 0.0001), practice setting (p < 0.0001), practice volume (p < 0.0001), and geographic location (p = 0.05) were statistically significant. After adjusting for other variables, the expected income was higher for males ($378k vs. $310k). The lowest expected income by practice setting was in solo private practice ($249.2k), followed by single-specialty private practice ($285.8k), and academic ($308.5k), with the highest being multispecialty group private practice ($346.6k) and hospital-employed practice ($368.0k). Practice 100% dedicated to breast surgery had a lower than expected income ($326k vs. $343k). CONCLUSIONS: Salary-specific data for breast surgeons are limited, and differences in salary were seen across geographic regions, type of practice, and gender. This type of breast-surgeon-specific data may be helpful in ensuring equitable compensation.

Measuring Changes in the Economics of Medical Practice.

For the latter third of the twentieth century, researchers have estimated production and cost functions for physician practices. Today, those attempting to measure the inputs and outputs of physician practice must account for many recent changes in models of care delivery. In this paper, we review practice inputs and outputs as typically described in research on the economics of medical practice, and consider the implications of the changing organization of medical practice and nature of physician work. This evolving environment has created conceptual challenges in what are the appropriate measures of output from physician work, as well as what inputs should be measured. Likewise, the increasing complexity of physician practice organizations has introduced challenges to finding the appropriate data sources for measuring these constructs. Both these conceptual and data challenges pose measurement issues that must be overcome to study the economics of modern medical practice. Despite these challenges, there are several promising initiatives involving data sharing at the organizational level that could provide a starting point for developing the needed new data sources and metrics for physician inputs and outputs. However, additional efforts will be required to establish data collection approaches and measurements applicable to smaller and single specialty practices. Overcoming these measurement and data challenges will be key to supporting policy-relevant research on the changing economics of medical practice.

Patient access in plastic surgery: an operational and financial analysis of service-based interventions to improve ambulatory throughput in an academic surgery practice.

INTRODUCTION: Inefficient patient throughput in a surgery practice can result in extended new patient backlogs, excessively long cycle times in the outpatient clinics, poor patient satisfaction, decreased physician productivity, and loss of potential revenue. This project assesses the efficacy of multiple throughput interventions in an academic, plastic surgery practice at a public university. METHODS: We implemented a Patient Access and Efficiency (PAcE) initiative, funded and sponsored by our health care system, to improve patient throughput in the outpatient surgery clinic. Interventions included: (1) creation of a multidisciplinary team, led by a project redesign manager, that met weekly; (2) definition of goals, metrics, and target outcomes; 3) revision of clinic templates to reflect actual demand; 4) working down patient backlog through group visits; 5) booking new patients across entire practice; 6) assigning a physician's assistant to the preoperative clinic; and 7) designating a central scheduler to coordinate flow of information. Main outcome measures included: patient satisfaction using Press-Ganey surveys; complaints reported to patient relations; time to third available appointment; size of patient backlog; monthly clinic volumes with utilization rates and supply/demand curves; "chaos" rate (cancellations plus reschedules, divided by supply, within 48 hours of booked clinic date); patient cycle times with bottleneck analysis; physician productivity measured by work Relative Value Units (wRVUs); and downstream financial effects on billing, collection, accounts receivable (A/R), and payer mix. We collected, managed, and analyzed the data prospectively, comparing the pre-PAcE period (6 months) with the PAcE period (6 months). RESULTS: The PAcE initiative resulted in multiple improvements across the entire plastic surgery practice. Patient satisfaction increased only slightly from 88.5% to 90.0%, but the quarterly number of complaints notably declined from 17 to 9. Time to third available new patient appointment dropped from 52 to 38 days, whereas the same metric for a preoperative appointment plunged from 46 to 16 days. The size of the new patient backlog fell from 169 to 110 patients, and total monthly clinic volume climbed from 574 to 766 patients. Our "chaos" rate dropped from 12.3% to 1.8%. Mean patient cycle time in the clinic decreased dramatically from 127 to 44 minutes. Mean monthly productivity for the practice increased from 2479 to 2702 RVUs. Although our collection rate did not change, days in A/R dropped from 66 to 57 days. Mean monthly charges increased from U.S. $535,213 to U.S. $583,193, and mean monthly collections improved from U.S. $181,967 to U.S. $210,987. Payer mix remained unchanged. CONCLUSIONS: Implementation of a PAcE initiative, focusing on outpatient clinic throughput, yields significant improvements in access to care, patient satisfaction as measured by complaints, physician productivity, and financial performance. An academic, university-based, plastic surgery practice can use throughput interventions to deliver timely care and to enhance financial viability.

Rural EMR adoption rates overtake those in urban areas.

OBJECTIVE: To assess rural-urban differences in electronic medical record (EMR) adoption among office-based physician practices in the United States. METHODS: Survey data on over 270 000 office-based physician sites (representing over 1 280 000 physicians) in the United States from 2012 was used to assess differences in EMR adoption rates among practices in rural and urban areas. Logistic regression tests for differences in the determinants of EMR adoption by geography, and a nonlinear decomposition is used to quantify how much of the rural-urban gap is due to differences in measureable characteristics (such as type of practice or affiliation with a health system). RESULTS: Overall EMR adoption rates were significantly higher for practices in rural areas (56%) vs those in urban areas (49%) in 2012 (P < 0.001). Twenty-nine states had statistically significantly different adoption rates between rural and urban areas, with only two states demonstrating higher rates in urban areas. EMR adoption continues to be higher for primary care practices when compared to specialists (51% vs 49%, P < 0.001), and state-level rural-urban differences in adoption are more pronounced for specialists. The decomposition technique finds that only 14% of the rural-urban gap can be explained by differences in measurable characteristics between practices. CONCLUSIONS: At the national level, rates of EMR adoption are higher for rural practices than for their urban counterparts, reversing earlier trends. This suggests that outreach efforts, namely the Regional Extension Centers created by the Office of the National Coordinator, have been particularly effective in increasing EMR adoption in rural areas.

Barriers to organizational adoption of EMR systems in family physician practices: a mixed-methods study in Canada.

BACKGROUND: EMR system can provide three main types of benefits: it can solve the logistical organization problems associated with paper systems; it can improve the quality of professionals' clinical decisions; and it can improve physicians' return on their practices by reducing the cost of managing clinical information. According to the 2012 Commonwealth Fund International Health Policy Survey, Canada ranked 10th out of 11 countries in terms of family physicians' adoption of EMR systems. Our main purpose is to investigate the reasons why so many primary care medical practices in this country have not decided to invest in these systems yet. METHODS: To achieve our main objective, a mixed-methods study was performed. We first conducted a Delphi study with a panel of 21 experts made up of general practitioners with extensive professional experience and a very good understanding of the issues surrounding the introduction of health IT in private medical practices. As a second step, we collected and analyzed data from a large questionnaire survey of family physicians working in medical practices without EMR systems (n = 431). RESULTS: The Delphi study reveals that private medical practices are hindered by four types of barriers when faced with the initial decision to invest in an EMR system, namely, behavioral, cognitive or knowledge-based, economic, and technological. Survey findings then indicate that the key challenges preventing private medical practices from investing in an EMR system are mainly related to economic and knowledge barriers. Surprisingly, we also found a cluster of medical practices which, although they have not invested in an EMR system, perceive no such barriers to adoption. CONCLUSIONS: A thorough understanding of the barriers faced by family physician practices in adopting an EMR system would help governments and other key stakeholders target policies and measures in support of medical practices. The "one size fits all" approach to such policies and measures is clearly inappropriate, given this study's findings that many medical practices face practically no barriers to EMR adoption, and that others differ markedly as to the type of barriers faced, be they mostly "soft" such as knowledge barriers or "hard" such as economic barriers.