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Using data from a case-control study of family homelessness in Worcester, Massachusetts, this analysis compares the economic, psychosocial and health characteristics of 159 Puerto Rican and 170 Non-Hispanic White poor, single mothers. When compared to Non-Hispanic Whites, the Puerto Rican mothers had more children, less education, fewer work experiences, fewer social supports, and more English language problems. Although the absolute rates were high in both groups, Puerto Rican mothers had experienced less violence and suffered fewer mental health problems, with the exception of major depression, than Non-Hispanic Whites. In addition, Puerto Rican mothers were less likely to use traditional health services. These findings suggest that to escape poverty, Puerto Rican mothers need a unique combination of educational opportunities (including English as a Second Language), job training, and child care. [ABSTRACT FROM AUTHOR]

Objective: To compare the health characteristics and service utilization patterns of homeless women and low-income housed women who are heads of household.Design: Case-control study.Setting: Community of Worcester, Massachusetts.Participants: A sample of 220 homeless mothers and 216 low-income housed mothers receiving welfare.Measurements and Main Results: Outcome measures included health status, chronic conditions, adverse lifestyle practices, outpatient and emergency department use and hospitalization rates, and use of preventive screening measures. Both homeless mothers and housed mothers demonstrated low levels of physical and role functioning and high levels of bodily pain. Prevalence rates of asthma, anemia, and ulcer disease were high in both groups. More than half of both groups were current smokers. Compared with the housed mothers, homeless mothers reported more HIV risk behaviors. Although 90% of the homeless mothers had been screened for cervical cancer, almost one third had not been screened for tuberculosis. After controlling for potential confounding factors, the homeless mothers, compared with the housed mothers, had more frequent emergency department visits in the past year (adjusted mean, homeless vs housed, 1.41 vs .95, p = .10) and were significantly more likely to be hospitalized in the past year (adjusted odds ratio 2.22; 95% confidence interval 1.13, 4.38).Conclusions: Both homeless mothers and low-income housed mothers had lower health status, more chronic health problems, and higher smoking rates than the general population. High rates of hospitalization, emergency department visits, and more risk behaviors among homeless mothers suggest that they are at even greater risk of adverse health outcomes. Efforts to address gaps in access to primary care and to integrate psychosocial supports with health care delivery may improve health outcomes for homeless mothers and reduce use of costly medical care services. [ABSTRACT FROM AUTHOR]

Background: Bundled payment programs for total joint arthroplasty (TJA) have become popular among both private and public payers. Because these programs provide surgeons with financial incentives to decrease costs through reconciliation payments, there is an advantage to identifying and emulating cost-efficient surgeons. The objective of this study was to utilize the Centers for Medicare and Medicaid Services (CMS) Quality Payment Program (QPP) in combination with institutional data to identify cost-efficient surgeons within our region and, subsequently, identify cost-saving practice patterns., Methods: Data was obtained from the CMS QPP for total knee arthroplasty (TKA) and total hip arthroplasty (THA) surgeons within a large metropolitan area from January 2019 to December 2021. A simple linear regression determined the relationship between surgical volume and cost-efficiency. Internal practice financial data determined whether patients of identified surgeons differed with respect to x-ray visits, physical therapy visits, out-of-pocket payments to the practice, and whether surgery was done in hospital or surgical center settings., Results: There were 4 TKA and 3 THA surgeons who were cost-efficiency outliers within our area. Outliers and nonoutlier surgeons had patients who had similar body mass index, American Society of Anesthesiologists Physical Status Score, and age-adjusted Charlson Comorbidity Index scores. Patients of these surgeons had fewer x-ray visits for both TKA and THA (1.06 versus 1.11, P < .001; 0.94 versus 1.15, P < .001) and lower out-of-pocket costs ($86.10 versus $135.46, P < .001; $116.10 versus $177.40, P < .001). If all surgeons performing > 30 CMS cases annually within our practice achieved similar cost-efficiency, the savings to CMS would be $17.2 million for TKA alone ($75,802,705 versus $93,028,477)., Conclusions: The CMS QPP can be used to identify surgeons who perform cost-efficient surgeries. Practice patterns that result in cost savings can be emulated to decrease the cost curve, resulting in reconciliation payments to surgeons and institutions and cost savings to CMS., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Importance: Reduced institutional postacute care has been associated with savings in alternative payment models. However, organizations may avoid voluntary participation if participation could threaten their own revenues., Objective: To characterize the association between hospital-skilled nursing facility (SNF) integration and participation in Medicare's Bundled Payments for Care Improvement Advanced (BPCI-A) program., Design, Setting, and Participants: This is a cross-sectional analysis of hospital participation in BPCI-A beginning with its launch in 2018. Each SNF-integrated hospital was matched with 2 nonintegrated hospitals for each of 4 episode-specific analyses. Fifteen hospital-level variables were used for matching: beds, case mix index, days, area SNF beds, metropolitan location, ownership, region, system membership, and teaching status. Hospitals were also matched on episode-specific volume, target price, and the interaction of target price and case mix. Episode-specific logistic models were estimated regressing hospital participation on integration and the previously listed variables. The marginal effect of integration on participation was then calculated. Analysis took place from August 2022 to May 2024., Exposure: Hospital-SNF integration, as defined by common ownership and referral patterns and identified using cost reports, Medicare claims, and Provider Enrollment, Chain, and Ownership System records. Additional sources included records of target prices and participation, the Area Health Resources File, and the Compendium of US Health Systems., Main Outcomes and Measures: Participation in BPCI-A., Results: In total, 1524 hospitals met criteria for inclusion in the hip and femur (HFP) analysis, 1825 were included in the major joint replacement of the lower extremity (MJRLE) analysis, 2018 were included in the sepsis analysis, and 1564, were included in the stroke-specific analysis. Across episodes, 191 HFP-eligible hospitals (12.5% of HFP-eligible hospitals), 302 MJRLE-eligible hospitals (16.5%), 327 sepsis-eligible hospitals (16.2%), and 185 sepsis-eligible hospitals (11.8%) were SNF integrated. In total, 79 hospitals (5.2%) participated in the HFP episode, 128 (7.0%) participated in the MJRLE episode, 204 (10.1%) participated in the sepsis episode, and 141 (9.0%) participated in the stroke episode. Integration was associated with a 4.7-percentage point decrease (95% CI, 2.4 to 6.9 percentage points) in participation in the MJRLE episode. There was no association between integration and participation for HFP (0.5-percentage point increase in participation moving from nonintegrated to integrated; 95% CI, -2.9 to 3.8 percentage points), sepsis (1.0-percentage point increase; 95% CI, -2.2 to 4.2 percentage points), and stroke (0.3-percentage point decrease; 95% CI, -3.1 to 3.8 percentage points)., Conclusions and Relevance: In this cross-sectional study, there was an uneven association between hospital-SNF integration and participation in Medicare's BPCI-A program. Other factors may be more consistent determinants of selection into voluntary payment reform.

Objectives: To assess initiatives to manage the cost and outcomes of specialty care in organizations that participate in Medicare accountable care organizations (ACOs)., Study Design: Cross-sectional analysis of 2023 ACO survey data., Methods: Analysis of responses to a 12-question web-based survey from 101 respondents representing 174 ACOs participating in the Medicare Shared Savings Program or the Realizing Equity, Access, and Community Health ACO model in 2023., Results: Improving specialist alignment was a high priority for 62% of the 101 respondents and a medium priority for 34%. Only 11% reported that employed specialists were highly aligned and 7% reported that contracted specialists were highly aligned. A subset of ACOs reported major efforts to engage specialists in quality improvement projects (38%) and to convene specialists to develop evidence-based care pathways (30%). They also reported supporting primary care physicians through providing specialist directories (44%), specialist e-consults (23%), and sharing specialist cost data (20%). The most common challenges reported were the influence of fee-for-service payment on specialist behavior (58%), lack of data to evaluate specialist performance (53%), and insufficient bandwidth or ACO resources to address specialist alignment (49%)., Conclusions: Engaging specialists in accountable care is an emerging area for ACOs but one with numerous challenges. Making better data on specialist costs and outcomes available to Medicare ACOs is essential for accelerating progress.

Objective: To explore the use of an episode grouper to more accurately identify the complete set of surgical services typically provided in a surgical episode of care and the corresponding range of prices, using colectomy for cancer as the example., Background: Price transparency is an important policy issue that will require surgeons to better understand the components and cost of care., Methods: This study uses the Episode Grouper for Medicare business logic to construct colectomy surgical episodes of care for cancer using Medicare claims data for the Boston Hospital Referral Region from 2012 to 2015. Descriptive statistics show the mean reimbursement based on patient severity and stage of surgery, along with the number of unique clinicians billing for care and the mix of services provided., Results: The Episode Grouper for Medicare episode grouper identified 3182 colectomies in Boston between 2012 and 2015, with 1607 done for cancer. The mean Medicare allowed amount per case is $29,954 and varies from $26,605 to $36,850 as you move from low to high-severity cases. The intrafacility stage is the most expensive ($23,175 on average) compared with the pre ($780) and post ($6,479) facility stages. There is tremendous heterogeneity in the service mix., Conclusions: Episode groupers are a potentially valuable tool for identifying variations in service mix and teaming patterns that correlate with a total price. By looking at patient care holistically, stakeholders can identify opportunities for price transparency and care redesign that have heretofore been hidden., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Background: The enumeration of the primary care workforce relies on potentially inaccurate specialty designations sourced from licensure registries and clinician surveys., Objective: To use an activity-based measure of primary care to estimate the number of physicians, nurse practitioners (NPs), and physician assistants (PAs) providing primary care to Medicare beneficiaries., Design: Observational study using Medicare fee-for-service (FFS) claims data., Subjects: All clinicians in the US billing Medicare in 2019 and their fee-for-service Medicare patients., Main Measures: We construct three measures that together distinguish primary care from specialty clinicians: (1) presence of evaluation and management (E&M) services in a setting consistent with primary care, (2) the dispersion of clinical care across International Classification of Diseases-10 (ICD-10) chapters, and (3) the extent of provided services that are atypical of primary care (e.g., surgical procedure). We apply parameters to the measures to identify the clinicians likely providing primary care and compare the resulting classifications across provider type., Key Results: Of physicians with at least 50 Medicare beneficiaries, 19-22% provide primary care. Of medical generalists (i.e., family medicine, internal medicine) with at least 50 beneficiaries, 61-68% provide primary care. We estimate that 40-45% of NPs and 27-30% of PAs meeting the panel size threshold are primary care providers in FFS Medicare., Conclusions: Our findings suggest that based on a primary care practice style, the number of primary care physicians in FFS Medicare is likely smaller than conventional estimates. However, compared to prior estimates, the number of primary care NPs is larger and the number of PAs is similar., (© 2023. The Author(s), under exclusive licence to Society of General Internal Medicine.)

Background: To test the accuracy of a segmentation approach using claims data to predict Medicare beneficiaries most likely to be hospitalized in a subsequent year., Methods: This article uses a 100-percent sample of Medicare beneficiaries from 2017 to 2018. This analysis is designed to illustrate the actuarial limitations of person-centered risk segmentation by looking at the number and rate of hospitalizations for progressively narrower segments of heart failure patients and a national fee-for-service comparison group. Cohorts are defined using 2017 data and then 2018 hospitalization rates are shown graphically., Results: As the segments get narrower, the 2018 hospitalization rates increased, but the percentage of total Medicare FFS hospitalizations accounted for went down. In all three segments and the total Medicare FFS population, more than half of all patients did not have a hospitalization in 2018., Conclusions: With the difficulty of identifying future high utilizing beneficiaries, health systems should consider the addition of clinician input and 'light touch' monitoring activities to improve the prediction of high-need, high-cost cohorts. It may also be beneficial to develop systemic strategies to manage utilization and steer beneficiaries to efficient providers rather than targeting individual patients., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Nurse practitioners (NPs) provide an increasing proportion of home-based primary care, despite restrictive scope of practice laws in approximately one half of states. We examined the relationship between scope of practice laws and state volume of NP-provided home-based primary care by performing an analysis of 2018 to 2019 Medicare claims. For each state we calculated the proportion of total home-based primary care visits by NPs and the proportion of all NPs providing home-based primary care. We used the 2018 American Association of Nurse Practitioners classification of state practice environment. We performed chi-square tests to assess the significance between volume and practice environment. We found that 42% of home-based primary care is delivered by NPs nationally, but substantial variation exists across states. We did not find a discernible or statistically significant pattern of uptake of NP-provided home-based primary care across full, reduced, or restricted states. [ Journal of Gerontological Nursing, 49 (5), 11-17.].

Background: Older adults with serious mental illness (SMI) often have multiple comorbidities and complex medication schedules. Shortages of behavioral health specialists (BHSs), especially in rural areas, frequently make primary care providers (PCPs) the only clinician managing this complex population. The aim of this study was to describe rural/urban psychiatric medication prescribing in older adults with SMI by PCPs and BHSs, and by clinician type., Methods: This retrospective descriptive analysis used 2018 Medicare data to identify individuals with a bipolar, major depression, schizophrenia, or psychosis diagnosis and examined medication claims for antianxiety, antidepressants, antipsychotics, hypnotics, and anticonvulsants. Descriptive statistics summarized percentage of medications provided by PCPs and BHSs stratified by rural and urban areas and by drug class. Additional analyses compared psychiatric prescribing patterns by physicians, advanced practice registered nurses (APRNs), and physician assistants (PAs)., Results: In urban areas, PCPs prescribed at least 50% of each psychiatric medication class, except antipsychotics, which was 45.2%. BHSs prescribed 40.7% of antipsychotics and less than 25% of all other classes. In rural areas, percentages of psychiatric medications from PCPs were over 70% for each medication class, except antipsychotics, which was 60.1%. Primary care physicians provided most psychiatric medications, between 36%-57% in urban areas and 47%-65% in rural areas. Primary care APRNs provided up to 13% of prescriptions in rural areas, which was more than the amount prescribed by BHS physicians, expect for antipsychotics. Psychiatric mental health APRNs provided up to 7.5% of antipsychotics in rural areas, but their prescribing contribution among other classes ranged between 1.1%-3.6%. PAs provided 2.5%-3.4% of medications in urban areas and this increased to 3.9%-5.1% in rural areas., Conclusions: Results highlight the extensive roles of PCPs, including APRNs, in managing psychiatric medications for older adults with SMI., (© 2022. The Author(s).)

Background: For people living with dementia (PLWD) the overuse of potentially inappropriate medications (PIMs) remains a persistent problem. De-prescribing trials in the elderly have mixed results. Clinician champions may be uniquely suited to lead efforts to address this challenge. Here we describe the study protocol for a 24-month embedded pragmatic cluster-randomized clinical trial within two accountable care organizations (ACOs) of such a clinician champion intervention. The specific aims are to (1) assess the effectiveness of a clinician champion on de-implementing PIMs in PLWD, (2) determine if the intervention is associated with a reduction in emergency department (ED) visits and hospitalizations attributed to a fall, and (3) examine five implementation outcomes: appropriateness, feasibility, fidelity, penetration, and equity., Methods/design: Two ACOs agreed to participate: United States Medical Management (USMM) and Oschner Health System. The unit of randomization will be the primary care clinic. A clinician champion will be recruited from each of the intervention clinics to participate in a 6-month training program and then work with clinicians and staff in their clinic for 12 months to reduce the use of PIMs in their PLWD population. For aims 1 and 2, Medicare claims data will be used to assess outcomes. The outcome for aim #1 will be medication possession rates per quarter, for the three therapeutic classes of PIMs among patients with dementia in intervention clinics versus control clinics. For aim #2, we will assess the incidence of falls using a previously validated algorithm. For both aims 1 and 2, we will construct hierarchical models with time period observations nested within patient using generalized estimating equations (GEE) with robust standard errors. The key variable of interest will be the treatment indicator assigned based on practice. For aim #3, we will conduct qualitative thematic analysis of documentation by the clinician champions in their project workbooks to evaluate the five implementation outcomes., Discussion: This embedded pragmatic trial will add to our existing knowledge regarding the effectiveness of a clinician champion strategy to de-prescribe potentially inappropriate medication among patients with dementia as well as its appropriateness, feasibility, fidelity, penetration, and equity., Trial Registration: Clinicaltrials.gov NCT05359679 , Registered May 4, 2022., (© 2022. The Author(s).)

Background: Nurse practitioners (NPs) play a critical role in delivering primary care, particularly to chronically ill elderly. Yet, many NPs practice in poor work environments which may affect patient outcomes., Objective: We investigated the relationship between NP work environments in primary care practices and hospitalizations and emergency department (ED) use among chronically ill elderly., Research Design: We used a cross-sectional design to collect survey data from NPs about their practices. The survey data were merged with Medicare claims data., Subjects: In total, 979 primary care practices employing NPs and delivering care to chronically ill Medicare beneficiaries (n=452,931) from 6 US states were included., Measures: NPs completed the Nurse Practitioner-Primary Care Organizational Climate Questionnaire-a valid and reliable measure for work environment. Data on hospitalizations and ED use was obtained from Medicare claims. We used Cox regression models to estimate risk ratios., Results: After controlling for covariates, we found statistically significant associations between practice-level NP work environment and 3 outcomes: Ambulatory Care Sensitive (ACS) ED visits, all-cause ED visits, and all-cause hospitalizations. With a 1-unit increase in the work environment score, the risk of an ACS-ED visit decreased by 4.4% [risk ratio (RR)=0.956; 99% confidence interval (CI): 0.918-0.995; P=0.004], an ED visit by 3.5% (RR=0.965; 99% CI: 0.933-0.997; P=0.005), and a hospitalization by 4.0% (RR=0.960;99% CI: 0.928-0.993; P=0.002). There was no relationship between NP work environment and ACS hospitalizations., Conclusion: Favorable NP work environments are associated with lower hospital and ED utilization. Practice managers should focus on NP work environments in quality improvement strategies., Competing Interests: The authors declare no conflict of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: To describe the use of home-based services in accountable care organizations (ACOs)., Study Design: Cross-sectional analysis of 2019 ACO survey., Methods: We analyzed surveys completed by 151 ACOs describing the characteristics of home-based care programs serving high-need, high-cost patients. We linked survey results to publicly available information about ACO characteristics, governance, and risk model participation., Results: Twenty-five percent of respondent ACOs had formal home-based care programs, 25% offered occasional home visits, and 17% were actively developing new programs. Home-based primary care was the most common program type. Half of programs were established within the past 3 years. The programs utilized multidisciplinary care teams, but two-thirds had fewer than 500 visits annually. Funding sources included direct billing for services, health system subsidies, and ACO shared savings. A majority of respondents expressed interest in expanding services but were concerned about their ability to demonstrate a return on investment (ROI), which was reported as a major or moderate challenge by three-quarters of respondents., Conclusions: ACOs deliver a diverse array of home-visit services including primary care, acute medical care, palliative care, care transitions, and interventions to address social determinants of health. Many services provided are not billable, and therefore ACO leaders are hesitant to fund expansions without strong evidence of ROI. Expanding Medicare ACO home-visit waivers to all risk-bearing ACOs and covering integrated telehealth services would improve the financial viability of these programs.

Background: At the beginning of the COVID-19 pandemic in the United States, 22 state governors temporarily waived physician supervision of nurse practitioners to expand access to health care during the state of emergency., Objective: We examined the nurse practitioner perception of the simultaneous scope of practice changes and the exigent pandemic demands during the initial COVID-19 surge in Massachusetts., Methods: Qualitative descriptive design using content analysis of open-ended responses to a web-based survey of Massachusetts nurse practitioners conducted in May & June 2020., Results: Survey response rate was 40.6 percent (N = 389). Content analysis identified four themes including: 1) State waivers enabled more control over practice and more expedited care, 2) State waiver did not change practice either because of pre-established independence or employers not changing policy, 3) Perception of nurse practitioner role as both versatile and disposable and 4) Telehealth increased access to care and created an autonomous setting., Conclusions: Although findings suggest fewer barriers in some areas, the temporary removal of state-level restrictions alone is not sufficient to achieve immediate full scope of practice for nurse practitioners. There is a need for regulatory frameworks that optimize the capacity of the advanced practice nursing workforce to respond to global health emergencies. US-based policymakers and healthcare organizations should revise outdated scope of practice policies and capitalize on telehealth technology to utilize the full extent of nurse practitioners. Likewise, nursing leaders should be a voice for nurse practitioners to more effectively and safely maximize the nurse practitioner contribution during emergency responses. In countries where the role is under development, regulators can leverage these findings to establish modernized nurse practitioner scope of practice policies from the outset., Competing Interests: Declaration of Competing Interest None., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Objectives: To assess the ability of accountable care organizations (ACOs) to use electronic health record (EHR) data for quality., Study Design: Cross-sectional study of ACOs participating in the Medicare Shared Savings Program (MSSP)., Methods: A national survey of MSSP ACOs included questions on the number of EHR systems used across all providers in the ACO and barriers to reporting EHR-based quality measures., Results: Just 9% of ACOs use a single EHR system, whereas 77% use 6 or more EHR systems. The more EHR systems an ACO uses, the less likely it is to report having the infrastructure to aggregate EHR data and the more concerned it is about the short-term viability and accuracy of EHR-based quality measures., Conclusions: ACOs have diverse structures that often result in the usage of multiple EHR systems. This has the potential to cause serious delays when CMS begins requiring ACOs to report their quality measures through their EHRs in 2022.

In the United States, transgender women are disproportionately affected by HIV. However, few evidence-based prevention interventions exist for this key population. We describe two promising, locally developed interventions that are currently being implemented and evaluated through the Centers for Disease Control and Prevention Combination HIV Prevention for Transgender Women Project: (a) ChiCAS, designed to promote the uptake of pre-exposure prophylaxis (PrEP), condom use, and medically supervised hormone therapy among Spanish-speaking transgender Latinas, and (b) TransLife Care, designed to address the structural drivers of HIV risk through access to housing, employment, legal services, and medical services, including HIV preventive care (e.g., PrEP use) among racially/ethnically diverse urban transgender women. If the evaluation trials determine that these interventions are effective, they will be among the first such interventions for use with transgender women incorporating PrEP, thereby contributing to the evidence-based resources that may be used to reduce HIV risk among this population.

Background: The United States is steadily shifting away from volume-based payments toward value-based payment for health care. The nursing model's emphasis on high-value care, such as disease prevention and health maintenance, ideally positions nurse practitioner (NP) practice owners to contribute to the goals of value-based care. However, little is known about NP participation in value-based care., Purpose: To better understand NP-owned practice participation in value-based care., Methodology: Using convenience sampling, we developed a registry of NP owned practices, which we used to conduct a web-based survey from November 2019 to February 2020., Results: Of the 47 NP-owner respondents, 40 practice in primary or specialty care. Practices are relatively small with a mean clinical staff of 4 full-time equivalent (FTE; range: 1-17), mean total staff of 7 FTE (1-28.5), and with a mean of 325 patient visits annually. A third participate in value-based payment arrangements, whereas a half are considering and three quarters are knowledgeable about value-based payment arrangements. Over 70% of practice owners report lack of knowledge, lack of financial protections, and lack of payer partnership as barriers to participation in value-based payment models., Conclusions: NP practice owners face many challenges to taking on risk, including insufficient patient volume., Implications: Joining together may allow small NP practices to participate in and thrive under value-based payment. Reducing the barriers and regulation of all NPs will enable the health care system to capitalize on the nursing model to meet the goals of value-based care., (Copyright © 2021 American Association of Nurse Practitioners.)

Little is known about practice pattern differences between nurse practitioners (NPs) and physician assistants (PAs). We compared the rates of low-value back images ordered by NPs and PAs. For this comparison, we used 2012-2013 Medicare Part B claims for all beneficiaries in 18 hospital referral regions and a measure of low-value back imaging from the Choosing Wisely recommendations. Models included a random clinician effect and fixed effects for beneficiary age, disability, Elixhauser comorbidities, clinician type, the emergency department setting, and region. NPs ( N = 234) order low-value back images significantly less than PAs ( N = 204) (NPs 25.5% vs. PAs 39.2%, p < .0001). Controlling for relevant factors, NPs are 10.0 percentage points ( p < .0001) less likely to order a low-value back image than PAs. NPs and PAs have distinct patterns of low-value back imaging, which is likely a reflection of their different practice settings.

Background: Although recent research suggests that primary care provided by nurse practitioners costs less than primary care provided by physicians, little is known about underlying drivers of these cost differences., Research Objective: Identify the drivers of cost differences between Medicare beneficiaries attributed to primary care nurse practitioners (PCNPs) and primary care physicians (PCMDs)., Study Design: Cross-sectional cost decomposition analysis using 2009-2010 Medicare administrative claims for beneficiaries attributed to PCNPs and PCMDs with risk stratification to control for beneficiary severity. Cost differences between PCNPs and PCMDs were decomposed into payment, service volume, and service mix within low-risk, moderate-risk and high-risk strata., Results: Overall, the average PCMD cost of care is 34% higher than PCNP care in the low-risk stratum, and 28% and 21% higher in the medium-risk and high-risk stratum. In the low-risk stratum, the difference is comprised of 24% service volume, 6% payment, and 4% service mix. In the high-risk stratum, the difference is composed of 7% service volume, 9% payment, and 4% service mix. The cost difference between PCNP and PCMD attributed beneficiaries is persistent and significant, but narrows as risk increases. Across the strata, PCNPs use fewer and less expensive services than PCMDs. In the low-risk stratum, PCNPs use markedly fewer services than PCMDs., Conclusions: There are differences in the costs of primary care of Medicare beneficiaries provided by nurse practitioners and MDs. Especially in low-risk populations, the lower cost of PCNP provided care is primarily driven by lower service volume., Competing Interests: The authors declare no conflict of interest., (Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Stroke is the leading cause for admission to the nearly 1,200 Inpatient Rehabilitation Facilities (IRFs) nationally in the US. For many patients, post-acute care is an important component of their rehabilitation. Several quality measures have been publicly reported for post-acute care providers, including hospital readmissions. However, to date none have focused on specific medical conditions, limiting the usability for patients and quality improvement., Objective: To assess hospital readmission rates for Medicare patients receiving inpatient rehabilitation following stroke and to identify risk factors in order to evaluate the feasibility of a stroke-specific hospital readmission measure., Methods: Observational study analyzing national Medicare inpatient claims and administrative data to assess hospital readmissions. Using logistic regression, we calculated unadjusted and risk-standardized readmission rates, which adjusted for patient characteristics, including type of stroke and admission function, to capture stroke severity., Results: Our national study included 116,073 fee-for-service Medicare beneficiary discharged from IRFs in 2013-2014 following stroke from 1,162 IRFs nationally. The observed hospital readmission rate among IRF patients following stroke was 11.6% and varied by patients' admission motor function. Patients with greater functional dependence had higher readmission rates on average. Lower admission function, hemorrhagic and other stroke types (relative to ischemic) were significantly associated with higher odds of hospital readmission., Conclusion: Results suggest it is feasible to assess hospital readmission rates among a stroke-cohort treated in IRFs. Stroke-focused quality measures would be useful to patients in selecting a provider and for providers in evaluating their stroke rehabilitation program outcomes. Secondary results suggest that admission function (FIM) capture stroke severity, a limitation with other claims-based stroke measures.

Background: Little is known about the extent of ordering low-value services by., Purpose: To compare the rates of low-value back images ordered by primary care physicians (PCMDs) and primary care nurse practitioners (PCNPs)., Method: We used 2012 and 2013 Medicare Part B claims for all beneficiaries in 18 hospital referral ̱regions (HRRs) and a measure of low-value back imaging from Choosing Wisely. Models included random clinician effect and fixed effects for beneficiary age, disability, Elixhauser comorbidities, clinician sex, the emergency department setting, back pain visit volume, organization, and region (HRR)., Findings: PCNPs (N = 231) and PCMDs (N = 4,779) order low-value back images at similar rates (NP: all images: 26.5%; MRI/CT: 8.4%; MD: all images: 24.5%; MRI/CT: 7.7%), with no detectable significant difference when controlling for covariates., Discussion: PCNPs and PCMDs order low-value back images at an effectively similar rate., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Context: State scope of practice (SoP) laws impose significant restrictions on the services that a nurse practitioner (NP) may provide in some states, yet evidence about SoP limitations on the quality of primary care is very limited. Method: This study uses six different classifications of state regulations and bivariate and multivariate analyses to compare beneficiaries attributed to primary care nurse practitioners and primary care physicians in 2013 testing two hypotheses: (1) chronic disease management, cancer screening, preventable hospitalizations, and adverse outcomes of care provided by primary care nurse practitioners are better in reduced and restricted practice states compared to states without restrictions and (2) by decreasing access to care, SoP restrictions negatively affect the quality of primary care. Findings: Results show a lack of consistent association between quality of primary care provided by NPs and state SoP restrictions. Conclusion: State regulations restricting NP SoP do not improve the quality of care.

Background: Primary care providers are at the center of the opioid epidemic. Whether nurse practitioners (NPs) have different opioid-prescribing outcomes from physicians is not known., Objective: To examine opioid-prescribing outcomes of Medicare beneficiaries receiving care from NPs and physicians in primary care., Research Design: We used Medicare data from 2009 to 2013 and a propensity score-weighted analysis., Subjects: Beneficiaries residing in states in which NPs are able to prescribe controlled substances without physician oversight and who did not have a cancer diagnosis, hospice care, or end-stage renal disease., Measures: First, we measured whether beneficiaries received any opioid prescription. Second, for beneficiaries who received opioids, we measured acute (<90 d supply) and chronic (≥90 d supply) use at baseline (2009-2010) and follow-up (2012-2013). Third, we measured potential misuse of opioid prescribing using a daily morphine milligram equivalent dose of >100 mg, overlapping prescriptions of opioids >7 days, and overlapping prescriptions of opioids with benzodiazepines >7 days., Results: Beneficiaries managed by NPs were less likely to receive an opioid [odds ratio (OR), 0.87; P<0.001], were less likely to be acute users at baseline (OR, 0.84; P<0.001), and were more likely to receive a high daily opioid dose of morphine milligram equivalent >100 mg compared with physician-managed beneficiaries (OR, 1.11; P=0.048)., Conclusions: Findings suggest educational programs and clinical guidelines may require approaches tailored to different providers. Future research should examine the contributing factors of these patterns to ensure high-quality pain management and guide policy makers on NP-controlled substance-prescribing regulations.

Objective: To compare medication adherence, cost, and utilization in Medicare beneficiaries attributed to nurse practitioners (NP) and primary care physicians (PCP)., Data: Medicare Part A, B, and D claims and beneficiary summary file data, years 2009-2013., Study Design: We used propensity score-weighted analyses combined with logistic regression and generalized estimating equations to test differences in good medication adherence (proportion of days covered (PDC >0.8); office-based and specialty care costs; and ER visits., Data Extraction: Beneficiaries with prescription claims for anti-diabetics, renin-angiotensin system antagonists (RASA), or statins., Principal Findings: There were no differences in good medication adherence (PDC >0.8) between NP and PCP attributed beneficiaries taking anti-diabetics or RASA. Beneficiaries taking statins had a slightly higher probability of good adherence when attributed to PCPs (74.6% vs 75.5%; P < 0.05). NP attributed beneficiaries had lower office-based and specialty care costs and were less likely to experience an ER visit across all three medication cohorts (P < 0.01)., Conclusions: Examining the impact of NP and PCP provided care on outcomes beyond the primary care setting is important to the Medicare program in general but will also help practices seeking to meet benchmarks under alternative payment models that incentivize higher quality and lower costs., (© Health Research and Educational Trust.)

Objective: To examine differences in the quality of care provided by primary care nurse practitioners (PCNPs), primary care physicians (PCMDs), or both clinicians., Data Sources: Medicare part A and part B claims during 2012-2013., Study Design: Retrospective cohort design using standard risk-adjustment methodologies and propensity score weighting assessing 16 claims-based quality measures grouped into 4 domains of primary care: chronic disease management, preventable hospitalizations, adverse outcomes, and cancer screening., Extraction Methods: Continuously enrolled aged, disabled, and dual eligible beneficiaries who received at least 25% of their primary care services from a random sample of PCMDs, PCNPs, or both clinicians., Principal Findings: Beneficiaries attributed to PCNPs had lower hospital admissions, readmissions, inappropriate emergency department use, and low-value imaging for low back pain. Beneficiaries attributed to PCMDs were more likely than those attributed to PCNPs to receive chronic disease management and cancer screenings. Quality of care for beneficiaries jointly attributed to both clinicians generally scored in the middle of the PCNP and PCMD attributed beneficiaries with the exception of cancer screening., Conclusions: The quality of primary care varies by clinician type, with different strengths for PCNPs and PCMDs. These comparative advantages should be considered when determining how to organize primary care to Medicare beneficiaries.

Objective: To examine whether there are differences in inpatient rehabilitation facilities' (IRFs') all-cause 30-day postdischarge hospital readmission rates vary by organizational characteristics and geographic regions., Design: Observational study., Setting: IRFs., Participants: Medicare fee-for-service beneficiaries discharged from all IRFs nationally in 2013 and 2014 (N = 1166 IRFs)., Interventions: Not applicable., Main Outcome Measures: We applied specifications for an existing quality measure adopted by Centers for Medicare & Medicaid Services for public reporting that assesses all-cause unplanned hospital readmission measure for 30 days postdischarge from inpatient rehabilitation. We estimated facility-level observed and risk-standardized readmission rates and then examined variation by several organizational characteristics (facility type, profit status, teaching status, proportion of low-income patients, size) and geographic factors (rural/urban, census division, state)., Results: IRFs' mean risk-standardized hospital readmission rate was 13.00%±0.77%. After controlling for organizational characteristics and practice patterns, we found substantial variation in IRFs' readmission rates: for-profit IRFs had significantly higher readmission rates than did not-for-profit IRFs (P<.001). We also found geographic variation: IRFs in the South Atlantic and South Central census regions had the highest hospital readmission rates than did IRFs in New England that had the lowest rates., Conclusions: Our findings point to variation in quality of care as measured by risk-standardized hospital readmission rates after IRF discharge. Thus, monitoring of readmission outcomes is important to encourage quality improvement in discharge care planning, care transitions, and follow-up., (Copyright © 2017 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Background: Studies suggest nurse practitioners are heavily represented among primary care providers for vulnerable Medicare beneficiaries., Purpose: The purpose of this study was to compare quality indicators among three groups of vulnerable beneficiaries managed by MDs and nurse practitioners (NPs)., Methods: The methods include retrospective cohort design examining 2012 and 2013 Medicare claims for three beneficiary groups: (a) initially qualified for the program due to disability, (b) dually eligible for Medicare and Medicaid, and (c) both disabled and dually eligible. Validated quality indicators in four domains were analyzed., Discussion: Gaps in outcomes suggest better performance for primary care nurse practitioners (PCNPs) in preventable hospitalizations and adverse outcomes. Outcome gaps suggesting better performance for primary care physicians in chronic disease management were diminished for beneficiaries who were both disabled and dually eligible suggesting improved performance for PCNPs within this subpopulation., Conclusion: These findings add new evidence indicating the quality of primary care provided to vulnerable Medicare beneficiaries by PCNPs is generally consistent with clinical guidelines and the less intensive use of costly health care services., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: Little is known about the geographic distribution of the overall primary care workforce that includes both physician and nonphysician clinicians--particularly in areas with restrictive nurse practitioner scope-of-practice laws and where there are relatively large numbers of uninsured., Objective: We investigated whether geographic accessibility to primary care clinicians (PCCs) differed across urban and rural areas and across states with more or less restrictive scope-of-practice laws., Research Design: An observational study., Subjects: 2013 Area Health Resource File (AHRF) and US Census Bureau county travel data., Measures: The measures included percentage of the population in low-accessibility, medium-accessibility, and high-accessibility areas; number of geographically accessible primary care physicians (PCMDs), nurse practitioners (PCNPs), and physician assistants (PCPAs) per 100,000 population; and number of uninsured per PCC., Results: We found divergent patterns in the geographic accessibility of PCCs. PCMDs constituted the largest share of the workforce across all settings, but were relatively more concentrated within urban areas. Accessibility to nonphysicians was highest in rural areas: there were more accessible PCNPs per 100,000 population in rural areas of restricted scope-of-practice states (21.4) than in urban areas of full practice states (13.9). Despite having more accessible nonphysician clinicians, rural areas had the largest number of uninsured per PCC in 2012. While less restrictive scope-of-practice states had up to 40% more PCNPs in some areas, we found little evidence of differences in the share of the overall population in low-accessibility areas across scope-of-practice categorizations., Conclusions: Removing restrictive scope-of-practice laws may expand the overall capacity of the primary care workforce, but only modestly in the short run. Additional efforts are needed that recognize the locational tendencies of physicians and nonphysicains.

Background: To mitigate shortages of primary care physicians and ensure access to health care services for a growing number of Medicare beneficiaries, some policy makers have recommended expanding the supply and roles of nurse practitioners (NPs). Little is known about the number of NPs billing Medicare or their practice patterns., Purpose: This study examines the geographic distribution and county characteristics of NPs billing Medicare, compares the types and quantities of primary care services provided to Medicare beneficiaries by NPs and primary care physicians, and analyzes the characteristics of beneficiaries receiving primary care from each type of clinician., Methods: We performed a cross-sectional analysis of 2008 Medicare administrative data from 959,848 aged and/or disabled beneficiaries continuously enrolled in fee-for-service Medicare during the study period. Outcome measures included geographic distribution of NPs measured by the rate of NPs per 1,000 Medicare beneficiaries by state, average utilization, and patient characteristics., Discussion: States with the highest rate of NPs billing were rural. Over 80% of the payments received by both NPs and primary care physicians were for evaluation and management services. Beneficiaries assigned to an NP were more likely to be female, to be dually eligible for Medicare and Medicaid, and to have qualified for Medicare because of a disability. NPs with assigned beneficiaries were significantly more likely than similar primary care physicians to practice in federally designated primary care shortage areas., Conclusions: Approximately 45,000 NPs were providing services to beneficiaries and billing under their own provider numbers in 2008. Aspects of NP practice patterns were different from primary care physicians, and NPs appeared more likely to provide services to disadvantaged Medicare beneficiaries., (Copyright © 2013 Elsevier Inc. All rights reserved.)

This evaluation of substance abuse and mental health treatment services in Arizona discusses and illustrates the use of data already collected by the State to manage and monitor the public behavioral health sector. The authors utilize a framework that focuses on rate-setting and financial incentives; provider profiling and education; and monitoring of data quality and system-wide performance. Information and analysis can contribute to key management activities and forces that guide behavior in the system toward optimal system performance. Using data from 33,208 Medicaid-covered and uninsured adults, service mix varied substantially by region; for example, spending on residential care ranged from 0% to 40% for substance abuse treatment clients. By focusing on a smaller group of client with functional assessments, it also appears that regional spending levels varied considerably, for reasons not explained by client demographics or clinical measures. Finally, longitudinal data show that the regional managed care organizations are moving in different directions with regard to client mix and spending priorities. All of this variation suggests that there may be considerable latitude to guide and improve system-wide performance.

Objectives: To identify childhood antecedents for lifetime post-traumatic stress disorder (PTSD) and to determine how this diagnosis relates to health and service use among extremely poor women., Methods: We conducted a secondary data analysis of 425 women in the Worcester Family Research Project, a case-control longitudinal study of 220 sheltered homeless and 216 extremely poor housed (never homeless) women in Worcester, Massachusetts., Results: We found that extremely poor women with lifetime PTSD were more likely to have grown up in family environments of violence, threat, and anger than those without PTSD. The strongest risk factor for PTSD was childhood sexual abuse with threat. Low-income women with lifetime PTSD had more bodily pain, even when controlling for other health and demographic factors. Women with PTSD experienced more chronic health conditions and had more problematic relationships with their health care providers and perceived more barriers to care., Conclusion: Many low-income women have difficulty using medical care appropriately because of childhood histories of physical and sexual abuse, the subsequent development of post-trauma responses, and structural barriers to care. Given these factors, it is critical that health care clinicians routinely screen for histories of violence and PTSD and develop treatment plans that ensure safety, link current symptoms with prior experiences, and provide support as necessary. A team approach coordinated by a case manager may be the best strategy. Without routine screening for PTSD and sensitive treatment, many extremely poor women will receive compromised health care and may even be retraumatized.

Objective: This study compared the prevalence of DSM-III-R disorders among homeless and low-income housed mothers with the prevalence of these disorders among all women in the National Comorbidity Survey., Method: The authors used an unmatched case-control design for assessing 220 homeless and 216 housed mothers receiving public assistance., Results: Homeless and housed mothers had similar rates of psychiatric and substance use disorders. Both groups had higher lifetime and current rates of major depression and substance abuse than did all women in the National Comorbidity Survey. Both groups also had high rates of posttraumatic stress disorder and two or more lifetime conditions., Conclusions: The prevalence of trauma-related disorders among poor women was higher than that among women in the general population. Programs and policies designed for low-income mothers must respond to the high prevalence of DSM-III-R disorders.

Objectives: This article describes Medicaid participation among office-based primary care physicians in cities and examines its determinants., Methods: Data used in this study were collected through the 1993 and 1994 American Medical Association Socioeconomic Monitoring System telephone surveys. The sample includes 1,300 primary care physicians. Our multivariate model includes a variety of personal, practice, community, and policy factors thought to influence participation. Logistic regression was used to examine determinants of accepting any Medicaid patients and ordinary least square regression was used to examine determinants of the extent of participation among participants., Results: The authors found that 19% of respondents did not participate in Medicaid and 62% had practices with 9% or fewer Medicaid patients. Multivariate analyses indicated that Medicaid payment levels were not associated with observed patterns of Medicaid participation. Community sociodemographic characteristics and demand from Medicaid-eligibles, by contrast, play a significant role in influencing observed levels of participation., Conclusions: Strategies other than raising Medicaid payment levels will be needed to achieve equitable access to office-based primary care for the poor residing in cities.

Although it is generally assumed that fathers are absent from the lives of children being raised on AFDC, evidence from a case-control study in Worcester, Massachusetts, suggests that there is considerable father-child contact. In addition, multivariate modeling indicates that contact with fathers had a modest beneficial effect on children's behavior. Based on these study findings, negative traits of fathers (e.g., substance abuse, physical violence) appear to be associated with increased child behavior problems.

Many state Medicaid programs are implementing managed care, and more can be expected to do so in the future. Medicaid managed care will have an important impact on Medicaid recipients and uninsured people who live in cities. It will also pose significant new challenges for hospitals, community health centers, and clinics serving these populations and for social workers practicing in these settings. Social workers need to understand the reasons for Medicaid managed care's development and phenomenal growth and its likely impact or clients, service delivery, and access to care in medically underserved urban neighborhoods. This article identifies roles for social workers in supporting clients in the transition to Medicaid managed care and advocating for policies that will improve access to care for disadvantaged urban populations.

Objective: This study identifies factors differentiating Medicaid participating physicians who accept all Medicaid patients from those limiting their Medicaid participation., Data Sources: Data come from periodic telephone surveys of random samples of physicians conducted by the American Medical Association (AMA)., Study Design: Surveys conducted in 1990-1993 were pooled to form a sample of 4,188 Medicaid-participating office-based physicians. Respondents were classified as accepting all Medicaid patients or as limiting their Medicaid participation. Descriptive statistics are used to examine differences between these groups with respect to selected personal, practice, community, and reimbursement variables. Logistic regression analysis is used to identify factors associated with physicians accepting all Medicaid patients or limiting their Medicaid participation in some way., Data Collection Methods: Survey data were supplemented with 1990 census data, 1990 AMA Physician Masterfile data, and 1989 data on physician payment levels., Principal Findings: Less than half of Medicaid-participating physicians and only about one-third of participating primary care physicians accept all Medicaid patients. Higher Medicaid fees are associated with physicians participating fully, but the marginal effects of changes in fees on the probability of physicians participating fully is small., Conclusions: Increases in Medicaid reimbursement aimed at primary care physicians or those in underserved areas may convert limited participants into full participants and, in so doing, improve the access of Medicaid eligibles to care. The increases in payment level needed to increase the proportion of physicians participating fully would be substantial, however, and may not be politically feasible.

In this article we examine how increasing the reimbursement of physicians and expanding Medicaid eligibility affect access to care for children in Cook County, Illinois, which overlies Chicago. Using Medicaid claims and other data at the zip-code level, we compare the places where Medicaid children live with the places where all the physicians who treat children and those who accept Medicaid patients have their practices. Our findings suggest that the recent changes in legislation are unlikely to benefit extremely poor children, who are more likely to live in depressed inner-city areas, where there are few physicians. "Near-poor" children whose homes are dispersed throughout the county, who are now eligible for Medicaid as a result of the recent changes, are likely to see improvements in their access to care. Further changes in policy, aimed at enhancing the capacity of institutions providing care, could improve access for the children of the inner city.

Recent expansion of the eligibility of low-income pregnant women for Medicaid-funded prenatal care may be jeopardized by undersupplies of obstetricians and gynecologists (OB/GYNs) in rural and urban low-income areas and by widely reported declines in the number of OB/GYNs willing to accept Medicaid patients. This paper examines the availability of office-based obstetric care to Medicaid patients in Illinois. We present and test a model of the determinants of Medicaid participation by private, office-based OB/GYNs that highlights the role of residential segregation and practice economics. We find that a large growth in demand for obstetrical care or the enhancement of Medicaid fees is unlikely to have a major effect on OB/GYN participation in Medicaid. We conclude that improving access will require expanding the supply of providers in underserved areas.

The growing concentration of lower-income groups, including Medicaid patients, in homogeneous inner-city areas such as Chicago casts considerable doubt on the effectiveness of expanding Medicaid eligibility and raising physician reimbursement to improve access to maternity care. There are few private office-based physicians providing prenatal care in these areas, and most pregnant women and infants are treated by private-office-based physicians in very high-volume practices, prompting concern about the quality of care. Increasing the supply of providers is required to enhance access to maternity services in inner cities. Expanding eligibility and raising reimbursement rates are more apt to benefit "near-poor" women, who are more spatially dispersed, than clustered-poor female populations.

Medi-Cal-California's Medicaid program-underwent significant changes during the period 1978 through 1983. Most notable were the imposition of new copayments, reductions in physician reimbursement and selective contracting for hospital services. The state-funded medically indigent program was transferred to the counties and the state began to experiment with bulk purchasing of drugs and supplies, a lock-in for overutilizers and primary care case management. How have these changes affected primary care providers' participation in Medi-Cal? Surveys of California pediatricians in 1978 and 1983 suggest that while most continue to participate, the level of limited participation in Medi-Cal increased from 23% to 51%. Most pediatricians express discontent with the level of Medicaid payments and there is a growing sentiment that Medicaid regulations interfere with the provision of high quality medical care. Future Medi-Cal policy developments, such as contracting for physician services, should be structured in ways that maximize participation of primary care providers in the program.

Many Medicaid policy changes occurred in recent years including those resulting from the Omnibus Budget Reconciliation Act of 1981 and the Tax Equity and Fiscal Responsibility Act of 1982. At the same time, the supply of providers increased and the health care market became more competitive. This paper presents evidence about how these developments are affecting pediatricians' participation in state Medicaid programs. Surveys conducted in 1978 (N = 814) and 1983 (N = 791) indicate that the proportion participating declined only slightly from 85.1% to 82.0%. The average Medicaid case load of participants remained at 15%, although extent of participation of individual pediatricians fluctuated. Previous research demonstrates that physicians' Medicaid participation is affected by reimbursement level, administrative complexity, and generosity of eligibility and benefits. Our data confirm these influences. However, the longitudinal design of the analyses reported here also captures shifts in the relative influence of these factors. The influence of policy factors has diminished over time, while the influence of changes in physician supply has increased. Increased physician supply, however, is associated with decreased Medicaid participation. Thus, diminished access to pediatric care for low-income children may result from recent changes in Medicaid and in the broader health care environment.

Participation in Medicaid by pediatricians is an important element in the access of low income children to health care. Factors that influence whether participating pediatricians choose to participate fully in the program or to limit their acceptance of Medicaid patients are identified and analyzed. Data were derived from interviews conducted with 814 pediatricians in 13 states. A multivariate analysis examining physician, practice, service area, and Medicaid policy characteristics indicates that policy factors are most influential in the physician's decision whether to participate fully in medicaid programs. Factors found to foster the willingness of pediatricians to participate fully in state Medicaid programs included more competitive levels of reimbursement, minimal delays in reimbursement, and eligibility and benefit policies that minimize interference with the exercise of medical judgment.

Reports in the literature that describe the use of prepaid settings for medical education are typically anecdotal. Synthesis of this information was accomplished using the case survey method, an approach that uses a common conceptual framework to combine case studies. A total of 18 references published between 1973 and 1986, describing the educational activities in 12 HMOs, were identified. Each reference was analyzed using a checklist composed of forced-choice items grouped into five categories: classification of HMO, type and extent of teaching program, organizational relationship between HMO and medical school, "scholarly" focus of HMO, and involvement of trainees in monitoring resource utilization. Many gaps were identified in the literature, especially those related to the mechanisms of financing the educational program and the types of organizational linkages between the medical school and the HMO. These gaps indicate the need for more systematic research to aid planners of future educational programs.