Growing a rural family physician workforce: The contributions of rural background and rural place of residency training.

OBJECTIVE: To determine the distinct influences of rural background and rural residency training on rural practice choice among family physicians. DATA SOURCES AND STUDY SETTING: We used a subset of The RTT Collaborative rural residency list and longitudinal data on family physicians from the American Board of Family Medicine National Graduate Survey (NGS; three cohorts, 2016-2018) and American Medical College Application Service (AMCAS). STUDY DESIGN: We conducted a logistic regression, computing predictive marginals to assess associations of background and residency location with physician practice location 3 years post-residency. DATA COLLECTION/EXTRACTION METHODS: We merged NGS data with residency type-rural or urban-and practice location with AMCAS data on rural background. PRINCIPAL FINDINGS: Family physicians from a rural background were more likely to choose rural practice (39.2%, 95% CI = 35.8, 42.5) than those from an urban background (13.8%, 95% CI = 12.5, 15.0); 50.9% (95% CI = 43.0, 58.8) of trainees in rural residencies chose rural practice, compared with 18.0% (95% CI = 16.8, 19.2) of urban trainees. CONCLUSIONS: Increasing rural programs for training residents from both rural and urban backgrounds, as well as recruiting more rural students to medical education, could increase the number of rural family physicians.

Impact of Primary Care Exception Expansion on Family Medicine Resident Billing During the COVID-19 Pandemic.

BACKGROUND AND OBJECTIVES: The Medicare Primary Care Exception (PCE) permits indirect supervision of residents performing lower-complexity visits in primary care settings. During the COVID-19 pandemic, Medicare expanded the PCE to all patient visits regardless of complexity. This study investigates how PCE expansion changed resident billing practices at a family medicine residency during calendar year 2020. We hypothesized that residents not constrained by the PCE would bill more high-level visits. METHODS: We queried billing codes from attendings' and residents' established evaluation and management visits associated with the University of Washington Family Medicine Residency (UWFMR) from January to December 2020. We used χ2 tests to compare resident and attending physicians' use of low/moderate and high-level codes by quarter. RESULTS: Resident high-complexity code use increased after PCE expansion in Q4 (odds ratio [OR] 3.50 [2.34-5.23]) compared to Q1. No change was observed among attending physicians (OR 1.05 [0.86-1.28]). Resident and attending billing patterns became more similar following PCE expansion. CONCLUSIONS: With the PCE expansion, senior family medicine resident physicians at UWFMR used higher-complexity billing codes at a rate approximating that of attending physicians. The findings of this study have implications regarding the financial well-being and sustainability of primary care residency training and raise a relevant policy question about whether the PCE expansion should persist. More research is needed to determine whether these findings were replicated in other primary care residency practices, the impact on resident education, and the impact on patient outcomes.

Where to start? A two stage residual inclusion approach to estimating influence of the initial provider on health care utilization and costs for low back pain in the US.

BACKGROUND: Diagnostic testing and treatment recommendations can vary when medical care is sought by individuals for low back pain (LBP), leading to variation in quality and costs of care. We examine how the first provider seen by an individual at initial diagnosis of LBP influences downstream utilization and costs. METHODS: Using national private health insurance claims data, individuals age 18 or older were retrospectively assigned to cohorts based on the first provider seen at the index date of LBP diagnosis. Exclusion criteria included individuals with a diagnosis of LBP or any serious medical conditions or an opioid prescription recorded in the 6 months prior to the index date. Outcome measures included use of imaging, back surgery rates, hospitalization rates, emergency department visits, early- and long-term opioid use, and costs (out-of-pocket and total costs of care) twelve months post-index date. We used a two-stage residual inclusion (2SRI) estimation approach comparing copay for the initial provider visit and differential distance as the instrumental variable to reduce selection bias in the choice of first provider, controlling for demographics. RESULTS: Among 3,799,593 individuals, cost and utilization varied considerably based on the first provider seen by the patient. Copay and differential distance provided similar results, with copay preserving a greater sample size. The frequency of early opioid prescription was significantly lower when care began with an acupuncturist or chiropractor, and highest for those who began with an emergency medicine physician or advanced practice registered nurse (APRN). Long-term opioid prescriptions were low across most providers except physical medicine and rehabilitation physicians and APRNs. The frequency and time to serious illness varied little across providers. Total cost of care was lowest when starting with a chiropractor ($5093) or primary care physician ($5660), and highest when starting with an orthopedist ($9434) or acupuncturist ($9205). CONCLUSION: The first provider seen by individuals with LBP was associated with large differences in health care utilization, opioid prescriptions, and cost while there were no differences in delays in diagnosis of serious illness.

Brief online implicit bias education increases bias awareness among clinical teaching faculty.

PROBLEM AND PURPOSE: Healthcare provider implicit bias influences the learning environment and patient care. Bias awareness is one of the key elements to be included in implicit bias education. Research on education enhancing bias awareness is limited. Bias awareness can motivate behavior change. The objective was to evaluate whether exposure to a brief online course, Implicit Bias in the Clinical and Learning Environment, increased bias awareness. MATERIALS AND METHODS: The course included the history of racism in medicine, social determinants of health, implicit bias in healthcare, and strategies to reduce the impact of implicit bias in clinical care and teaching. A sample of U.S. academic family, internal, and emergency medicine providers were recruited into the study from August to December 2019. Measures of provider implicit and explicit bias, personal and practice characteristics, and pre-post-bias awareness measures were collected. RESULTS: Of 111 participants, 78 (70%) were female, 81 (73%) were White, and 63 (57%) were MDs. Providers held moderate implicit pro-White bias on the Race IAT (Cohen's d = 0.68) and strong implicit stereotypes associating males rather than females with 'career' on the Gender-Career IAT (Cohen's d = 1.15). Overall, providers held no explicit race bias (Cohen's d = 0.05). Providers reported moderate explicit male-career (Cohen's d = 0.68) and strong female-family stereotype (Cohen's d = 0.83). A statistically significant increase in bias awareness was found after exposure to the course (p = 0.03). Provider implicit and explicit biases and personal and practice characteristics were not associated with an increase in bias awareness. CONCLUSIONS: Implicit bias education is effective to increase providers' bias awareness regardless of strength of their implicit and explicit biases and personal and practice characteristics. Increasing bias awareness is one step of many toward creating a positive learning environment and a system of more equitable healthcare.

Comparing the Health Workforce Provider Mix and the Distance Travelled for Mental Health Services by Rural and Urban Medicare Beneficiaries.

PURPOSE: To describe the mix of health professionals who care for rural and urban seniors suffering from mood and/or anxiety disorders, the quantity of services they receive, and to understand where beneficiaries receive care for mood and/or anxiety disorders and the distance and time they travel for care. METHODS: We used 2014 Medicare administrative claims data to examine access to health care for fee-for-service Medicare beneficiaries aged ≥ 65 years who received outpatient services for mood and anxiety disorders. We classified providers into 9 categories: (1) family physicians/general practice, (2) internists, (3) nurse practitioners (NPs) and physician assistants (PAs), (4) psychiatrists, (5) psychologists, (6) clinical social workers, (7) emergency medicine physicians, (8) other physicians, and (9) other providers. We calculated the 1-way driving distance and travel time between the beneficiary residence and provider location. We classified beneficiaries into 1 of 4 geographic categories based on their residence ZIP Code. FINDINGS: Urban beneficiaries had an average of 2.7 visits for mood and anxiety disorders, while rural beneficiaries had 2.4. Generalist physicians and NPs/PAs provided 50.8% of all visits. Urban beneficiaries saw more behavioral health specialists (34.3%) than rural beneficiaries (16.1%). NPs and PAs provided more than twice as much of the care for rural beneficiaries (14.8%) as for urban beneficiaries (6.4%). Rural beneficiaries travelled about twice as far as urban beneficiaries. CONCLUSIONS: Rural and urban Medicare beneficiaries received care for mood/anxiety disorders from different mixes of health care providers, and ensuring access for rural populations will require innovative solutions.

Projected Contributions of Nurse Practitioners and Physicians Assistant to Buprenorphine Treatment Services for Opioid Use Disorder in Rural Areas.

The United States is experiencing an opioid use disorder epidemic. The Comprehensive Addiction and Recovery Act allows nurse practitioners (NPs) and physician assistants (PAs) to obtain a Drug Enforcement Administration waiver to prescribe medication-assisted treatment (MAT) for opioid use disorder. This study projected the potential increase in MAT availability provided by NPs and PAs for rural patients. Using workforce and survey data, and state scope of practice regulations, the number of treatment slots that could be provided by NPs and PAs was estimated for rural areas. NPs and PAs are projected to increase the number of rural patients treated with buprenorphine by 10,777 (15.2%). Census Divisions varied substantially in the number of projected new treatment slots per 10,000 population (0.8-10.6). The New England and East South Central Census Divisions are projected to have the largest population-adjusted increase. NPs and PAs have considerable potential to reduce substantial MAT access disparities.

A Method to Study the Effect of a Physician Assistant Student on Preceptor Productivity.

PURPOSE: Guided clinical experience is a critical component of a physician assistant (PA) student's education. However, clinical precepting is strongly perceived to have deleterious effects on productivity. In this study, we sought to test a method for evaluating the effect that PA students have on clinical productivity. METHODS: We recruited 14 family medicine preceptors and second-year PA students from 2 programs, the University of Washington (UW) and the University of Texas Health Science Center San Antonio (UT). We collected productivity data during 3 weeks of preceptor clinical practice-one week without a PA student present and 2 weeks with a PA student present (one week early in the student's family medicine clinical rotation and a second week late in the rotation). We collected preceptor demographic data, patient characteristics, and the primary outcome-relative value units (RVUs) per preceptor per half-day during the 3 data collection weeks. At the end of the study, we asked preceptors about the ease of data collection and any negative effects of the study itself on their clinical productivity. RESULTS: No significant differences were found in preceptor demographics or in patient characteristics, numbers of patients, or RVUs per patient seen in any of the weeks or between UW and UT. In this pilot study, no significant differences were seen in RVUs per preceptor per half-day between the 3 weeks of observation or between UW and UT. CONCLUSION: In this pilot study, the protocol was straightforward, unintrusive, and preliminarily showed no significant effects of a PA student on preceptor productivity.

Service provision and quality outcomes in home health for rural Medicare beneficiaries at high risk for unplanned care.

Multiple barriers exist to providing home health care in rural areas. This study examined relationships between service provision and quality outcomes among rural, fee-for-service Medicare beneficiaries who received home health care between 2011 and 2013 for conditions associated with high-risk for unplanned care. More skilled nursing visits, visits by more types of providers, more timely care, and shorter lengths of stay were associated with significantly higher odds of hospital readmission and emergency department use and significantly lower odds of community discharge. Results may indicate unmeasured clinical severity and care needs among this population. Additional research regarding the accuracy of current severity measures and adequacy of case-mix adjustment for quality metrics is warranted, especially given the continued focus on value-based payment policies.

Geographic Variation in the Supply of Selected Behavioral Health Providers.

INTRODUCTION: In 2015, an estimated 43.4 million Americans aged 18 and older suffered from a behavioral health issue. Accurate estimates of the number of psychiatrists, psychologists, and psychiatric nurse practitioners are needed as demand for behavioral health care grows. METHODS: The National Plan and Provider Enumeration System National Provider Identifier data (October 2015) was used to examine the supply of psychiatrists, psychologists, and psychiatric nurse practitioners. Providers were classified into three geographic categories based on their practicing county (metropolitan, micropolitan, and non-core). Claritas 2014 U.S. population data were used to calculate provider-to-population ratios for each provider type. Analysis was completed in 2016. RESULTS: Substantial variation exists across Census Divisions in the per capita supply of psychiatrists, psychologists, and psychiatric nurse practitioners. The New England Census Division had the highest per capita supply and the West South Central Census Division had among the lowest supply of all three provider types. Nationally, the per capita supply of these providers was substantially lower in non-metropolitan counties than in metropolitan counties, but Census Division disparities persisted across geographic categories. There was a more than tenfold difference in the percentage of counties lacking a psychiatrist between the New England Census Division (6%) and the West North Central Census Division (69%). Higher percentages of non-metropolitan counties lacked a psychiatrist. CONCLUSIONS: Psychiatrists, psychologists, and psychiatric nurse practitioners are unequally distributed throughout the U.S. Disparities exist across Census Divisions and geographic categories. Understanding this unequal distribution is necessary for developing approaches to improving access to behavioral health services for underserved populations. SUPPLEMENT INFORMATION: This article is part of a supplement entitled The Behavioral Health Workforce: Planning, Practice, and Preparation, which is sponsored by the Substance Abuse and Mental Health Services Administration and the Health Resources and Services Administration of the U.S. Department of Health and Human Services.

Physical Therapy as the First Point of Care to Treat Low Back Pain: An Instrumental Variables Approach to Estimate Impact on Opioid Prescription, Health Care Utilization, and Costs.

OBJECTIVE: To compare differences in opioid prescription, health care utilization, and costs among patients with low back pain (LBP) who saw a physical therapist (PT) at the first point of care, at any time during the episode or not at all. DATA SOURCES: Commercial health insurance claims data, 2009-2013. STUDY DESIGN: Retrospective analyses using two-stage residual inclusion instrumental variable models to estimate rates for opioid prescriptions, imaging services, emergency department visits, hospitalization, and health care costs. DATA EXTRACTION: Patients aged 18-64 years with a new primary diagnosis of LBP, living in the northwest United States, were observed over a 1-year period. PRINCIPAL FINDINGS: Compared to patients who saw a PT later or never, patients who saw a PT first had lower probability of having an opioid prescription (89.4 percent), any advanced imaging services (27.9 percent), and an Emergency Department visit (14.7 percent), yet 19.3 percent higher probability of hospitalization (all p < .001). These patients also had significantly lower out-of-pocket costs, and costs appeared to shift away from outpatient and pharmacy toward provider settings. CONCLUSIONS: When LBP patients saw a PT first, there was lower utilization of high-cost medical services as well as lower opioid use, and cost shifts reflecting the change in utilization.

Barriers Rural Physicians Face Prescribing Buprenorphine for Opioid Use Disorder.

Opioid use disorder is a serious public health problem. Management with buprenorphine is an effective, office-based, medication-assisted treatment, but 60.1% of rural counties in the United States lack a physician with a Drug Enforcement Agency waiver to prescribe buprenorphine. This national study surveyed all rural physicians who have received a waiver in the United States and found that those who were not actively prescribing buprenorphine reported significantly more barriers than those who were, regardless of whether they were treating the maximum number of patients their waiver allowed. These findings suggest the need for tailored strategies to address barriers to providing buprenorphine for opioid use disorder and to support physicians who are adding or maintaining this service.

Impact of the Primary Care Exception on Family Medicine Resident Coding.

BACKGROUND AND OBJECTIVES: The Medicare Primary Care Exception (PCE) allows residents to see and bill for less-complex patients independently in the primary care setting, requiring attending physicians only to see patients for higher-level visits and complete physical exams in order to bill for them as such. Primary care residencies apply the PCE in various ways. We investigated the impact of the PCE on resident coding practices. METHODS: Family medicine residency directors in a five-state region completed a survey regarding interpretation and application of the PCE, including the number of established patient evaluation and management codes entered by residents and attending faculty at their institution. The percentage of high-level codes was compared between residencies using chi-square tests. RESULTS: We analyzed coding data for 125,016 visits from 337 residents and 172 faculty physicians in 15 of 18 eligible family medicine residencies. Among programs applying the PCE criteria to all patients, residents billed 86.7% low-mid complexity and 13.3% high-complexity visits. In programs that only applied the PCE to Medicare patients, residents billed 74.9% low-mid complexity visits and 25.2% high-complexity visits. Attending physicians coded more high-complexity visits at both types of programs. The estimated revenue loss over the 1,650 RRC-required outpatient visits was $2,558.66 per resident and $57,569.85 per year for the average residency in our sample. CONCLUSIONS: Residents at family medicine programs that apply the PCE to all patients bill significantly fewer high-complexity visits. This finding leads to compliance and regulatory concerns and suggests significant revenue loss. Further study is required to determine whether this discrepancy also reflects inaccuracy in coding.

Medical Student Participation in Family Medicine Department Extracurricular Experiences and Choosing to Become a Family Physician.

BACKGROUND AND OBJECTIVES: Many factors influence a medical student's decision to choose a family medicine career. The impact of participation in extracurricular programs sponsored by family medicine departments is currently unclear. Medical student participation in four University of Washington Department of Family Medicine-sponsored programs (Community Health Advancement Program, Family Medicine Interest Group, Rural Underserved Opportunity Program, and the Underserved Pathway) could be associated with becoming a family physician. METHODS: Demographic data, results from a matriculation career interest survey, records indicating participation in the four extracurricular programs, and Match lists showing the specialty of each graduate were linked. Based on responses to the matriculation survey, graduates were categorized into four levels of initial family medicine interest. Chi-square tests compared both demographic data with initial family medicine interest levels and initial family medicine interest levels with program participation. For residency-matched graduates, odds ratios of matching to family medicine versus other specialties for specific family medicine programs and number of programs were calculated, controlling for demographic variables and initial family medicine interest levels. RESULTS: Older age, female graduates, a rural upbringing, and high level of initial family medicine interest were independently and significantly associated with choosing family medicine. Participation in the Family Medicine Interest Group (OR 2.45) and the Underserved Pathway (OR 4.37) and two or more family medicine programs (OR 2.01--2.22) was significantly associated with entering family medicine. CONCLUSIONS: Certain demographic factors and high initial interest in family medicine is associated with entering the specialty. Some, but not all, family medicine department-sponsored extracurricular programs were associated with choosing family medicine.

Family medicine resident billing and lost revenue: a regional cross-sectional study.

BACKGROUND AND OBJECTIVES: The financial margins for primary care clinics and residencies are narrow. It is important that residents bill properly for educational and financial purposes as well as for compliance. This study compares resident and attending Evaluation and Management (E&M) coding from family medicine residency programs across a five-state region, with established billing benchmarks. METHODS: We collected established visit E&M codes for faculty and residents from a network of family medicine residencies in the Northwest United States over a 6-month period. Aggregated codes were compared to billing benchmarks from the Medical Group Management Association (MGMA) to estimate effects on revenue from these visits. RESULTS: We obtained coding data for 131,788 established problem-focused visits from 353 residents and 186 faculty physicians in 16 of 18 eligible family medicine residencies. Both residents and faculty billed lower numbers of high complexity codes than MGMA benchmarks. PGY-1s coded higher numbers of high complexity codes than PGY-3s. Annual estimated revenue loss was $481,654 for the programs overall. CONCLUSIONS: Residents do not bill established visits at the level of generally accepted benchmarks, which contributes to significant financial losses for programs and carries regulatory implications. The reasons for incorrect billing need to be established and interventions developed to overcome these barriers.

Health information technology workforce needs of rural primary care practices.

PURPOSE: This study assessed electronic health record (EHR) and health information technology (HIT) workforce resources needed by rural primary care practices, and their workforce-related barriers to implementing and using EHRs and HIT. METHODS: Rural primary care practices (1,772) in 13 states (34.2% response) were surveyed in 2012 using mailed and Web-based questionnaires. FINDINGS: EHRs or HIT were used by 70% of respondents. Among practices using or intending to use the technology, most did not plan to hire new employees to obtain EHR/HIT skills and even fewer planned to hire consultants or vendors to fill gaps. Many practices had staff with some basic/entry, intermediate and/or advanced-level skills, but nearly two-thirds (61.4%) needed more staff training. Affordable access to vendors/consultants who understand their needs and availability of community college and baccalaureate-level training were the workforce-related barriers cited by the highest percentages of respondents. Accessing the Web/Internet challenged nearly a quarter of practices in isolated rural areas, and nearly a fifth in small rural areas. Finding relevant vendors/consultants and qualified staff were greater barriers in small and isolated rural areas than in large rural areas. DISCUSSION/CONCLUSIONS: Rural primary care practices mainly will rely on existing staff for continued implementation and use of EHR/HIT systems. Infrastructure and workforce-related barriers remain and must be overcome before practices can fully manage patient populations and exchange patient information among care system partners. Efforts to monitor adoption of these skills and ongoing support for continuing education will likely benefit rural populations.

The contribution of physicians, physician assistants, and nurse practitioners toward rural primary care: findings from a 13-state survey.

BACKGROUND: Estimates of the relative contributions of physicians, physician assistants (PAs), and nurse practitioners (NPs) toward rural primary care are needed to inform workforce planning activities aimed at reducing rural primary shortages. OBJECTIVES: For each provider group, this study quantifies the average weekly number of outpatient primary care visits and the types of services provided within and beyond the outpatient setting. METHODS: A randomly drawn sample of 788 physicians, 601 PAs, and 918 NPs with rural addresses in 13 US states responded to a mailed questionnaire that measured reported weekly outpatient visits and scope of services provided within and beyond the outpatient setting. Analysis of variance and χ(2) testing were used to test for bivariate associations. Multivariate regression was used to model average weekly outpatient volume adjusting for provider sociodemographics and geographical location. RESULTS: Compared with physicians, average weekly outpatient visit quantity was 8% lower for PAs and 25% lower for NPs (P<0.001). After multivariate adjustment, this gap became negligible for PAs (P=0.56) and decreased to 10% for NPs (P<0.001). Compared with PAs and NPs, primary care physicians were more likely to provide services beyond the outpatient setting, including hospital care, emergency care, childbirth attending deliveries, and after-hours call coverage (all P<0.001). CONCLUSIONS: Although our findings suggest that a greater reliance on PAs and NPs in rural primary settings would have a minor impact on outpatient practice volume, this shift might reduce the availability of services that have more often been traditionally provided by rural primary care physicians beyond the outpatient clinic setting.

Barriers to training family medicine residents in community health centers.

BACKGROUND AND OBJECTIVES: Training partnerships between family medicine residencies (FMRs) and community health centers (CHCs) are a potential solution to the chronic problem of health workforce shortages in CHCs. We conducted a national survey to identify the barriers to training family medicine residents in CHCs. METHODS: We asked US family medicine residency directors to identify barriers to training residents in CHCs. Using grounded theory, three coders grouped responses by theme. We examined differences in barriers between residency programs that currently train in CHCs with programs that do not currently train in CHCs. RESULTS: A total of 51% (226/439) of residency program directors responded. Of these, 29% cited governance as a barrier to affiliation, 26% cited administrative complexity, 24% cited financial considerations, 21% cited leadership, and 18% cited access. Programs that trained in CHCs were more likely to cite financial considerations and administrative complexity than programs that did not train in CHCs. CONCLUSIONS: Governance and administrative complexity are the most commonly cited barriers to effective CHC-FMR partnerships. Financial consideration and leadership issues are also common barriers.

Quality of care for myocardial infarction in rural and urban hospitals.

BACKGROUND: In the mid-1990s, significant gaps existed in the quality of acute myocardial infarction (AMI) care between rural and urban hospitals. Since then, overall AMI care quality has improved. This study uses more recent data to determine whether rural-urban AMI quality gaps have persisted. METHODS: Using inpatient records data for 34,776 Medicare beneficiaries with AMI from 2000-2001, unadjusted and logistic regression analysis compared receipt of 5 recommended treatments between admissions to urban, large rural, small rural, and isolated small rural hospitals as defined by Rural Urban Commuting Area codes. RESULTS: Substantial proportions of hospital admissions in all areas did not receive guideline-recommended treatments (eg, 17.0% to 23.6% without aspirin within 24 hours of admission, 30.8% to 46.6% without beta-blockers at arrival/discharge). Admissions to small rural and isolated small rural hospitals were least likely to receive most treatments (eg, 69.2% urban, 68.3% large rural, 59.9% small rural, 53.4% isolated small rural received discharge beta-blocker prescriptions). Adjusted analyses found no treatment differences between admissions to large rural and urban area hospitals, but admissions to small rural and isolated small rural hospitals had lower rates of discharge prescriptions such as aspirin and beta-blockers than urban hospital admissions. CONCLUSIONS: Many simple guidelines that improve AMI outcomes are inadequately implemented, regardless of geographic location. In small rural and isolated small rural hospitals, addressing barriers to prescription of beneficial discharge medications is particularly important. The best quality improvement practices should be identified and translated to the broadest range of institutions and providers.

Access to specialty health care for rural American Indians in two states.

CONTEXT: The Indian Health Service (IHS), whose per capita expenditure for American Indian and Alaska Native (AI/AN) health services is about half that of the US civilian population, is the only source of health care funding for many rural AI/ANs. Specialty services, largely funded through contracts with outside practitioners, may be limited by low IHS funding levels. PURPOSE: To examine specialty service access among rural Indian populations in two states. METHODS: A 31-item mail survey addressing perceived access to specialty physicians, barriers to access, and access to non-physician clinical services was sent to 106 primary care providers in rural Indian health clinics in Montana and New Mexico (overall response rate 60.4%) and 95 primary care providers in rural non-Indian clinics within 25 miles of the Indian clinics (overall response rate 57.9%). FINDINGS: Substantial proportions of rural Indian clinic providers in both states reported fair or poor non-emergent specialty service access for their patients. Montana's rural Indian clinic providers reported poorer patient access to specialty care than rural non-Indian clinic providers, while New Mexico's rural Indian and non-Indian providers reported comparable access. Indian clinic providers in both states most frequently cited financial barriers to specialty care. Indian clinic providers reported better access to most non-physician services than non-Indian clinic providers. CONCLUSIONS: Reported limitations in specialty care access for rural Indian clinic patients appear to be influenced by financial constraints. Health care systems factors may play a role in perceived differences in specialty access between rural Indian and non-Indian clinic patients.

Professional liability issues and practice patterns of obstetric providers in Washington State.

OBJECTIVE: To describe recent changes in obstetric practice patterns and liability insurance premium costs and their consequences to Washington State obstetric providers (obstetrician-gynecologists, family physicians, certified nurse midwives, licensed midwives). METHODS: All obstetrician-gynecologists, rural family physicians, certified nurse midwives, licensed midwives, and a simple random sample of urban family physicians were surveyed about demographic and practice characteristics, liability insurance characteristics, practice changes and limitations due to liability insurance issues, obstetric practices, and obstetric practice environment changes. RESULTS: Fewer family physicians provide obstetric services than obstetrician-gynecologists, certified nurse midwives, and licensed midwives. Mean liability insurance premiums for obstetric providers increased by 61% for obstetrician-gynecologists, 75% for family physicians, 84% for certified nurse midwives, and 34% for licensed midwives from 2002 to 2004. Providers' most common monetary responses to liability insurance issues were to reduce compensation and to raise cash through loans and liquidating assets. In the 2 years of markedly increased premiums, obstetrician-gynecologists reported increasing their cesarean rates, their obstetric consultation rates, and the number of deliveries. They reported decreasing high-risk obstetric procedures during that same period. CONCLUSION: Liability insurance premiums rose dramatically from 2002 to 2004 for Washington's obstetric providers, leading many to make difficult financial decisions. Many obstetric providers reported a variety of practice changes during that interval. Although this study's results do not document an impending exodus of providers from obstetric practice, rural areas are most vulnerable because family physicians provide the majority of rural obstetric care and are less likely to practice obstetrics. LEVEL OF EVIDENCE: III.