Variation in outpatient consultant physician fees in Australia by specialty and state and territory.

OBJECTIVES: To determine the mean, median and 10th and 90th percentile levels of fees and out-of-pocket costs to the patient for an initial consultation with a consultant physician; to determine any differences in fees and bulk-billing rates between specialties and between states and territories. DESIGN, PARTICIPANTS AND SETTING: Analysis of 2015 Medicare claims data for an initial outpatient appointment with a consultant physician (Item 110) in 11 medical specialties representative of common adult non-surgical medical care (cardiology, endocrinology, gastroenterology, geriatric medicine, haematology, immunology/allergy, medical oncology, nephrology, neurology, respiratory medicine and rheumatology). MAIN OUTCOME MEASURES: Mean, median, 10th and 90th percentile levels for consultant physician fees and out-of-pocket costs, by medical specialty and state or territory; bulk-billing rate, by medical specialty and state/territory. RESULTS: Bulk-billing rates varied between specialties, with only haematology and medical oncology bulk-billing more than half of initial consultations. Bulk-billing rates also varied between states and territories, with rates in the Northern Territory (76%) nearly double those elsewhere. Most private consultations require a significant out-of-pocket payment by the patient, and these payments varied more than fivefold in some specialties. CONCLUSION: Without data on quality of care in private outpatient services, the rationale for the marked variations in fees within specialties is unknown. As insurers are prohibited from providing cover for the costs of outpatient care, the impact of out-of-pocket payments on access to private specialist care is unknown.

Medical Debt and Related Financial Consequences Among Older African American and White Adults.

OBJECTIVES: To evaluate African American-White differences in medical debt among older adults and the extent to which economic and health factors explained these. METHODS: We used nationally representative data from the 2007 and 2010 US Health Tracking Household Survey (n = 5838) and computed population-based estimates of medical debt attributable to economic and health factors with adjustment for age, gender, marital status, and education. RESULTS: African Americans had 2.6 times higher odds of medical debt (odds ratio = 2.62; 95% confidence interval = 1.85, 3.72) than did Whites. Health status explained 22.8% of the observed disparity, and income and insurance explained 19.4%. These factors combined explained 42.4% of the observed disparity. In addition, African Americans were more likely to be contacted by a collection agency and to borrow money because of medical debt, whereas Whites were more likely to use savings. CONCLUSIONS: African Americans incur substantial medical debt compared with Whites, and more than 40% of this is mediated by health status, income, and insurance disparities. Public health implications. In Medicare, low-income beneficiaries, especially low-income African Americans with poor health status, should be protected from the unintended financial consequences of cost-reduction strategies.

Factors affecting general practitioner charges and Medicare bulk-billing: results of a survey of Australians.

OBJECTIVE: To identify factors affecting bulk-billing by general practitioners in Australia. DESIGN, PARTICIPANTS AND SETTING: A community-based survey was administered to Australians aged 16 years or older in July 2013 via an online panel. Survey questions focused on patient characteristics, visit characteristics, practice characteristics. MAIN OUTCOME MEASURES: Factors associated with GP bulk-billing. RESULTS: 2477 respondents completed the survey, of whom 2064 (83.33%) reported that the practice that they went to for their most recent GP visit bulk billed some or all patients. Overall, 1763 respondents (71.17%) reported that their most recent GP visit was bulk billed. Taking into account the duration of visits and the corresponding Medicare Benefits Schedule rebate, the mean out-of-pocket cost for those who were not bulk billed was $34.09. RESULTS of a multivariate logistic regression analysis suggest that the odds of being bulk billed was negatively associated with larger practice size, respondents having had an appointment for their visit, higher household income and inner or outer regional area of residence. It was positively associated with the presence of a chronic disease, being a concession card holder and having private health insurance. There was no association between bulk-billing and duration of GP visit, age or sex. CONCLUSIONS: Our results indicate that there are associations between patient characteristics and bulk-billing, and between general practice characteristics and bulk-billing. This suggests that caution is needed when considering changes to GP fees and Medicare rebates because of the many possible paths by which patients' access to services could be affected. Our results do not support the view that bulk-billing is associated with shorter consultation times.

Structured physician order entry for trauma CT: value in improving clinical information transfer and billing efficiency.

OBJECTIVE: The purpose of this study was to measure the effects of use of a structured physician order entry system for trauma CT on the communication of clinical information and on coding practices and reimbursement efficiency. MATERIALS AND METHODS: This study was conducted between April 1, 2011, and January 14, 2013, at a level I trauma center with 59,000 annual emergency department visits. On March 29, 2012, a structured order entry system was implemented for head through pelvis trauma CT, so-called pan-scan CT. This study compared the following factors before and after implementation: communication of clinical signs and symptoms and mechanism of injury, primary International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) code category, success of reimbursement, and time required for successful reimbursement for the examination. Chi-square statistics were used to compare all categoric variables before and after the intervention, and the Wilcoxon rank sum test was used to compare billing cycle times. RESULTS: A total of 457 patients underwent pan-scan CT in 2734 distinct examinations. After the intervention, there was a 62% absolute increase in requisitions containing clinical signs or symptoms (from 0.4% to 63%, p<0.0001) and a 99% absolute increase in requisitions providing mechanism of injury (from 0.4% to 99%, p<0.0001). There was a 19% absolute increase in primary ICD-9-CM codes representing clinical signs or symptoms (from 2.9% to 21.8%, p<0.0001), and a 7% absolute increase in reimbursement success for examinations submitted to insurance carriers (from 83.0% to 89.7%, p<0.0001). For reimbursed studies, there was a 14.7-day reduction in mean billing cycle time (from 68.4 days to 53.7 days, p=0.008). CONCLUSION: Implementation of structured physician order entry for trauma CT was associated with significant improvement in the communication of clinical history to radiologists. The improvement was also associated with changes in coding practices, greater billing efficiency, and an increase in reimbursement success.

Financial responsibility of hospitalized patients who left against medical advice: medical urban legend?

BACKGROUND: Physicians may counsel patients who leave against medical advice (AMA) that insurance will not pay for their care. However, it is unclear whether insurers deny payment for hospitalization in these cases. OBJECTIVE: To review whether insurers denied payment for patients discharged AMA and assess physician beliefs and counseling practices when patients leave AMA. DESIGN: Retrospective cohort of medical inpatients from 2001 to 2010; cross-sectional survey of physician beliefs and counseling practices for AMA patients in 2010. PARTICIPANTS: Patients who left AMA from 2001 to 2010, internal medicine residents and attendings at a single academic institution, and a convenience sample of residents from 13 Illinois hospitals in June 2010. MAIN MEASURES: Percent of AMA patients for which insurance denied payment, percent of physicians who agreed insurance denies payment for patients who leave AMA and who counsel patients leaving AMA they are financially responsible. KEY RESULTS: Of 46,319 patients admitted from 2001 to 2010, 526 (1.1%) patients left AMA. Among insured patients, payment was refused in 4.1% of cases. Reasons for refusal were largely administrative (wrong name, etc.). No cases of payment refusal were because patient left AMA. Nevertheless, most residents (68.6%) and nearly half of attendings (43.9%) believed insurance denies payment when a patient leaves AMA. Attendings who believed that insurance denied payment were more likely to report informing AMA patients they may be held financially responsible (mean 4.2 vs. 1.7 on a Likert 1-5 scale, in which 5 is "always" inform, p < 0.001). This relationship was not observed among residents. The most common reason for counseling patients was "so they will reconsider staying in the hospital" (84.8% residents, 66.7% attendings, p = 0.008) CONCLUSIONS: Contrary to popular belief, we found no evidence that insurance denied payment for patients leaving AMA. Residency programs and hospitals should ensure that patients are not misinformed.

Validity of autism diagnoses using administrative health data.

It is necessary to monitor autism prevalence in order to plan education support and health services for affected children. This study was conducted to assess the accuracy of administrative health databases for autism diagnoses. Three administrative health databases from the province of Nova Scotia were used to identify diagnoses of autism spectrum disorders (ASD): the Hospital Discharge Abstract Database, the Medical Services Insurance Physician Billings Database and the Mental Health Outpatient Information System database. Seven algorithms were derived from combinations of requirements for single or multiple ASD claims from one or more of the three administrative databases. Diagnoses made by the Autism Team of the IWK Health Centre, using state-of-the-art autism diagnostic schedules, were compared with each algorithm, and the sensitivity, specificity and C-statistic (i.e. a measure of the discrimination ability of the model) were calculated. The algorithm with the best test characteristics was based on one ASD code in any of the three databases (sensitivity=69.3%). Sensitivity based on an ASD code in either the hospital or the physician billing databases was 62.5%. Administrative health databases are potentially a cost efficient source for conducting autism surveillance, especially when compared to methods involving the collection of new data. However, additional data sources are needed to improve the sensitivity and accuracy of identifying autism in Canada.

Professional charges not reimbursed to dentists in the U.S.: evidence from Medical Expenditure Panel Survey, 1996.

OBJECTIVES: This cross-sectional study examined professional charges not paid to dentists. METHODS: This analysis used logistic regression in SUDAAN examining the 1996 MEPS data from 12,931 adults. RESULTS: Among people incurring dental care charges, 13.6% had more than $50 of unpaid charge (UC). The percapita UC was $53.30. Total UC was higher for highest income group [45.4% of total] compared to lowest income group [26.0%]. The percapita UC of $76.70 for low income group was significantly greater than for high income group ($47.80, P < 0.01). More Medicaid recipients (52% vs. non-recipients: 12%) incurred at least $50 in UC (P < 0.01). Adjusted odds of incurring UC were greater for those employed (OR = 1.3, 95% CI: 1.0-1.7), and for those with private insurance (OR: 1.5, CI: 1.3-1.9). Number of dental procedure types modified the association between Medicaid recipient and UC (OR = 13.6 for Medicaid recipients undergoing multiple procedure types; OR: 2.3 for Medicaid non-recipients with multiple procedure types; OR: 1.9 for Medicaid recipients receiving single dental procedure. CONCLUSIONS: Having private insurance, being unemployed and being Medicaid insured undergoing multiple procedure were strongest predictors of UC.

Ways to maximize effective collections.

Medical practices across the country face a variety of collection challenges, especially when considering the condition of today's economy. It is now more important than ever for a practice to establish proactive collection procedures and learn the keys to minimizing collection problems. This starts with educating patients about your payment terms prior to appointments and educating your staff to be aware of early warning signs when an account could become a problem. Taking steps that lead to quick resolution, while retaining patients, is a vital component to increased cash flow and fewer aging accounts in receivables. Careful review of your practice's policies on billing and collections can lead to a greater knowledge on how healthy the practice really is. This article provides key strategies that will help streamline your billing and collections process and recover money owed to you while maintaining those ever so important patient relationships.

Childhood asthma surveillance using administrative data: consistency between medical billing and hospital discharge diagnoses.

BACKGROUND: The absence of ongoing surveillance for childhood asthma in Montreal, Quebec, prompted the present investigation to assess the validity and practicality of administrative databases as a foundation for surveillance. OBJECTIVE: To explore the consistency between cases of asthma identified through physician billings compared with hospital discharge summaries. METHODS: Rates of service use for asthma in 1998 among Montreal children aged one, four and eight years were estimated. Correspondence between the two databases (physician billing claims versus medical billing claims) were explored during three different time periods: the first day of hospitalization, during the entire hospital stay, and during the hospital stay plus a one-day margin before admission and after discharge ('hospital stay +/- 1 day'). RESULTS: During 1998, 7.6% of Montreal children consulted a physician for asthma at least once and 0.6% were hospitalized with a principal diagnosis of asthma. There were no contemporaneous physician billings for asthma 'in hospital' during hospital stay +/- 1 day for 22% of hospitalizations in which asthma was the primary diagnosis recorded at discharge. Conversely, among children with a physician billing for asthma 'in hospital', 66% were found to have a contemporaneous in-hospital record of a stay for 'asthma'. CONCLUSIONS: Both databases of hospital and medical billing claims are useful for estimating rates of hospitalization for asthma in children. The potential for diagnostic imprecision is of concern, especially if capturing the exact number of uses is more important than establishing patterns of use.

Consumer credit as a novel marker for economic burden and health after cancer in a diverse population of breast cancer survivors in the USA.

BACKGROUND: Consumer credit may reflect financial hardship that patients face due to cancer treatment, which in turn may impact ability to manage health after cancer; however, credit's relationship to economic burden and health after cancer has not been evaluated. METHODS: From May to September 2015, 123 women with a history of breast cancer residing in Pennsylvania or New Jersey completed a cross-sectional survey of demographics, socioeconomic position, comorbidities, SF-12 self-rated health, economic burden since cancer diagnosis, psychosocial stress, and self-reported (poor to excellent) credit quality. Ordinal logistic regression evaluated credit's contribution to economic burden and self-rated health. RESULTS: Mean respondent age was 64 years. Mean year from diagnosis was 11.5. Forty percent of respondents were Black or Other and 60% were White. Twenty-four percent self-reported poor credit, and 76% reported good to excellent credit quality. In adjusted models, changing income, using savings, borrowing money, and being unable to purchase a health need since cancer were associated with poorer credit. Better credit was associated with 7.72 ([1.22, 14.20], p = 0.02) higher physical health t-score, and a - 2.00 ([- 3.92, - 0.09], p = 0.04) point change in psychosocial stress. CONCLUSIONS: This exploratory analysis establishes the premise for consumer credit as a marker of economic burden and health for breast cancer survivors. Future work should validate these findings in larger samples and for other health conditions. IMPLICATIONS FOR CANCER SURVIVORS: Stabilizing and monitoring consumer credit may be a potential intervention point for mitigating economic burden after breast cancer.

From bottom to top: how one provider retooled its collections.

In its effort to increase point-of-service collections and improve the overall revenue cycle, Sutter Health took steps to: Measure performance using a handful of specific, primary benchmarks. Empower PFS staff to assume responsibility for every individual account they handle. Ensure each registration is analyzed using a rules engine to identify problems before patients leave the registration desk. Ensure PFS staff receive appropriate comprehensive training to excel under the new system.

Charges for hospital admissions attributable to health disparities for African-American patients, 1998-2002.

OBJECTIVE: Racial disparities exist across most major disease categories, which result in a disproportionately large number of hospital admissions for many conditions. Estimates for the financial impact of the racial admission differences for the State of South Carolina are assessed. METHODS: South Carolina hospital discharge data for 1998-2002 was used for the analysis. The database includes all-payer billing data for inpatient hospital admissions as received on the UB-92 billing file for the covered episode. Charges were inflation adjusted to 2002 constant dollars. RESULTS: For 1998-2002, there were an estimated dollar 1.6 billion in total charges for hospital admissions in South Carolina that were attributed to higher age-adjusted admission rates for African-American patients. In addition, African Americans had consistently higher hospital admission rates for disease categories that are often associated with a failure to obtain ambulatory and preventive care. CONCLUSION: This simple analysis reveals that age-adjusted hospital admission rates for African Americans in South Carolina are higher than for Caucasians, and the gap appears to be widening over time. Given the magnitude of the financial implication, interventions with even a small impact on the conditions underlying the racial disparities in hospital admissions are likely to be cost effective.

Uncompensated care provided by private practice physicians in Florida.

While a great deal of attention has been paid in recent years to establishing the magnitude and characteristics of uncompensated care in hospitals, comparatively little research has been undertaken to study physician uncompensated care. This article reports the results of a prospective patient-specific study of uncompensated care in Florida. Of 4,042 cases examined, 26.2 percent had charges voluntarily reduced below the usual and customary charge at the time of service. However, only 13.5 percent of those reductions were attributed to charity. Overall, 10.4 percent of the total billed amount was left unresolved. When payment source was considered, it was found that self-pay patients accounted for 30.6 percent of the cases but accounted for 52.0 percent of the unresolved amounts. Further analysis indicated that the self-pay patients were 35.5 times more likely to leave an outstanding balance than individuals with some type of insurance coverage. Odds of unresolved balances were also calculated as a function of income, specialty type, practice size, and type of visit.

Childhood asthma surveillance using computerized billing records: a pilot study.

OBJECTIVE: This paper describes a pilot project to develop and implement a low-cost system for ongoing surveillance of childhood asthma in Milwaukee County, Wisconsin. METHODS: The authors organized a planning workshop to solicit information and ideas for an asthma surveillance system, bringing together national experts with Milwaukee professionals and community representatives involved in the prevention and treatment of asthma. Based on recommendations from the workshop, a pilot surveillance project was implemented in Milwaukee County using records of emergency room visits and hospital admissions for asthma abstracted from the computerized billing records of the Children's Hospital of Wisconsin (CHW), retrospectively for 1993 and prospectively for 1994. Retrospective data were also sought from the other hospital emergency departments in Milwaukee County to evaluate the representativeness of the CHW data. Surveillance data were used to evaluate utilization of care by patient subgroups and to describe temporal patterns in emergency room visits. RESULTS: Of the emergency department visits for asthma in Milwaukee County in 1993, CHW accounted for 94% among infants less than 1 year of age, 89% among children ages 1 through 5 years, and only 59% among children between the ages of 6 and 18 years. In 1994, the 7% of asthmatic children with repeat hospital admissions accounted for 38% of all hospital admissions for asthma and the 20% with repeat emergency department visits accounted for 50% of all emergency visits. Emergency visits for asthma showed clear seasonality, with a peak in the fall and a smaller peak in the spring. CONCLUSIONS: Computerized medical billing data provide an opportunity for asthma surveillance at a relatively low cost. The data obtained are useful for tracking trends in exacerbations of asthma and the use of medical services for asthma care and should prove valuable in targeting interventions.

Hospital bad debt in France: who does not pay?

Hospital bad debt commonly represents 4-5% of total patient revenue. We examined bad debts accrued by our hospital over a 10-year period from both a medical and sociodemographic perspective. We found that true medical emergencies represent 90% of 'bad debtors' admitted, and that, despite generalized medical insurance in France, a quarter of unpaid bills belong to French residents. We conclude with a proposal to limit individual hospitals' accountability for bad debt.

Emergency room coverage: an evolving crisis.

Historically, a newly graduated plastic surgeon in the United States could build a practice from his or her emergency room coverage. The historical cliche was for the surgeon to be affable, able, and available, and from that basis one's practice would grow. Emergency room exposure was an avenue for starting a practice, developing recognition, and, after that, building a referral pattern. Recently, the cross-shifting influence of management care, rising malpractice insurance costs, and risk ratio are changing this cliche to a crisis. An evaluation of a 2 1/2-year exposure to emergency room coverage has revealed a completely different profile. A total of 300 patient visits resulting in 69 surgical operations were evaluated for insurance and remuneration history. The findings indicated a significant remuneration dilemma for emergency room coverage. Interestingly, a remuneration problem exists in a market different from what one would expect. In this study, a sample from a suburban hospital, rather than an inner-city university hospital, is the greater problem.

Market shares for rural inpatient surgical services: where does the buck stop?

Utilization of surgical services by rural citizens is poorly understood, and few data are available about rural hospitals' surgical market shares and their financial implications. Understanding these issues is particularly important in an era of financially stressed rural hospitals. In this study information about rural surgical providers and services was obtained through telephone interviews with administrators at Washington state's 42 rural hospitals. The Washington State Department of Health's Commission Hospital Abstract Recording System (CHARS) data were used to measure market shares and billed charges for rural surgical services. ZIP codes were used to assign rural residents to a hospital service area (HSA) of the nearest hospital, providing the geographic basis for market share calculations. "Total hospital expenses" from the American Hospital Association Guide were used as a proxy for hospital budget, and the surgical financial contribution was expressed as a ratio of billed surgical charges to total hospital expense. For rural hospitals as a whole, 21 percent of admissions and 43 percent of billed inpatient charges resulted from surgical services. In 1989, 27,202 rural Washington residents were hospitalized for surgery. Overall, 42 percent went to the closest rural hospital, 14 percent went to other rural hospitals, and 44 percent went to urban hospitals. The presence of surgical providers markedly increased local market shares, but a substantial proportion of basic surgical procedures bypassed available local services in favor of urban hospitals. For example, about one-third of patients needing cholecystectomies, a basic general surgery of low complexity, bypassed local hospitals with staff surgeons.(ABSTRACT TRUNCATED AT 250 WORDS)

Unpaid hospital bills: evidence from Florida.

Most of what we know about the population generating uncompensated care is inferred from data on the uninsured population. The use of insurance status as an indicator for potential charity patients is justifiable considering the lack of alternative information. This study directly examines uncompensated hospital care using a unique data set generated from a special survey conducted in Florida. A selection model estimated using these data explains who is likely to default on their bill and what amount will be left unpaid. The results provide a clearer picture of the uncompensated hospital care problem.