Jonathan R. Sugarman

Perinatal and Infant Health Among Rural and Urban American Indians/Alaska Natives

OBJECTIVES We sought to provide a national profile of rural and urban American Indian/Alaska Native (AI/AN) maternal and infant health. METHODS In this cross-sectional study of all 1989-1991 singleton AI/AN births to US residents, we compared receipt of an inadequate pattern of prenatal care, low birthweight (< 2500 g), infant mortality, and cause of death for US rural and urban AI/AN and non-AI/AN populations. RESULTS Receipt of an inadequate pattern of prenatal care was significantly higher for rural than for urban mothers of AI/AN infants (18.1% vs 14.4%, P </=.001); rates for both groups were over twice that for Whites (6.8%). AI/AN postneonatal death rates (rural = 6.7 per 1000; urban = 5.4 per 1000) were more than twice that of Whites (2.6 per 1000). CONCLUSIONS Preventable disparities between AI/ANs and Whites in maternal and infant health status persist.

Hip fracture incidence in nursing home residents and community-dwelling older people, Washington State, 1993-1995

OBJECTIVES: To establish and validate a method of linking data from the Minimum Data Set (MDS) and Medicare hospital claims, to estimate hip fracture incidence rates for Medicare beneficiaries aged 65 and older in Washington State, and to compare the incidence rates of hip fractures in nursing home and non‐nursing home residents.

Gestational Diabetes Is a Herald of NIDDM in Navajo Women: High rate of abnormal glucose tolerance after GDM

OBJECTIVE To estimate the rate of deterioration of glucose tolerance and evaluate risk factors for development of NIDDM in Navajo women with a history of gestational diabetes mellitus (GDM). RESEARCH DESIGN AND METHODS A retrospective analysis of 111 GDM deliveries over a 4-year period, 1983–1987, was conducted in 1994 to determine glucose tolerance status. Patients who had not developed NIDDM were recalled for a 2-h glucose tolerance test (GTT). Tested and non-tested patients were compared, as estimate of conversion to NIDDM was calculated, and risk factors for NIDDM were evaluated. A life-table analysis was developed to estimate the probability of NIDDM after GDM. RESULTS At the time of chart review, 32 patients (29%) had already been diagnosed with NIDDM. Of the patients, 79 were offered GTT testing, and 56 (71%) returned for follow-up; 15 were diagnosed with NIDDM and 17 with impaired glucose tolerance (IGT); 47 (42%) and 64 (58%) patients in the cohort had developed NIDDM or NIDDM/IGT at the conclusion of the study period. Patients who developed NIDDM had greater BMIs, parity, and infant weights. Fasting blood glucose > 5.83 mmol/l, GTT > 41.63 mmol/l, and recurrence of GDM were associated with later NIDDM. A life-table analysis estimated a 53% likelihood of having NIDDM at an 11-year follow-up; a second model, based only on patients with known NIDDM status, predicted a 70% rate of NIDDM at an 11-year follow-up. CONCLUSIONS A high proportion of Navajo women with GDM progressed to NIDDM. Postpartum counseling and periodic GTTs are recommended.

The Changes Involved in Patient-Centered Medical Home Transformation

In 2007, the major primary care professional societies collaboratively introduced a new model of primary care: the patient-centered medical home (PCMH). The published document outlines the basic attributes and expectations of a PCMH but not with the specificity needed to help interested clinicians and administrators make the necessary changes to their practice. To identify the specific changes required to become a medical home, the authors reviewed literature and sought the opinions of two multi-stakeholder groups. This article describes the eight consensus change concepts and 32 key changes that emerged from this process, and the evidence supporting their inclusion.

A State-Level Application of the Chronic Illness Breakthrough Series: Results from Two Collaboratives on Diabetes in Washington State

BACKGROUND Breakthrough Series Collaboratives addressing chronic conditions have been conducted at the national level and in single health care delivery systems but not at the state level. Two state-level collaboratives were conducted: Diabetes Collaborative I (October 1999-November 2000) included 17 clinic teams from across the state, and Diabetes Collaborative II (February 2001-March 2002) included 30 teams and 6 health plans. METHODS Both collaboratives took place in Washington State, where a diverse group of primary care practices participated, and health insurance plans partnered with the clinic teams. Teams individually tested and implement changes in their systems of care to address all components of the Chronic Care Model. RESULTS All 47 teams completed the collaboratives, and all but one maintained a registry throughout the 13 months. Most teams demonstrated some amount of improvement on process and outcome measures that addressed blood sugar testing and control, blood pressure control, lipid testing and control, foot exams, dilated eye exams, and self-management goals. CONCLUSION The benefits of holding collaboratives more locally include increased technical support and increased participation, translating into wider implementation of prevention-focused, patient-centered care.

Developing clinical performance measures based on the Dialysis Outcomes Quality Initiative Clinical Practice Guidelines: process, outcomes, and implications.

BACKGROUND The National Kidney Foundation-Dialysis Outcomes Quality Initiative (NKF-DOQI) Clinical Practice Guidelines established a widely accepted set of recommendations for high-quality dialysis care. To enhance the End-Stage Renal Disease Core Indicators Project, an ongoing effort to assess and improve dialysis care in the United States, the Centers for Medicare and Medicaid Services (CMS) commissioned a project to develop clinical performance measures (CPMs) based on the NKF-DOQI guidelines. METHODS The CMS contracted with Qualis Health, a private nonprofit organization serving as a Medicare Quality Improvement Organization, to facilitate a 9-month project to develop dialysis CPMs with the participation of a broad range of stakeholders from the renal community. Work groups were established to develop CPMs addressing 4 areas: hemodialysis adequacy, peritoneal dialysis adequacy, vascular access management, and anemia management. The NKF-DOQI guidelines were prioritized based on the strength of the evidence supporting the guidelines, the feasibility of developing performance measures, and the significance of the areas addressed to the quality of care delivered to dialysis patients. Expert panels developed data specifications, sampling approaches, data-collection tools, and analytic strategies. RESULTS Sixteen CPMs were developed based on 22 of 114 NKF-DOQI guidelines. After establishing reliability through field-testing of data-collection instruments, the CPMs were applied to a sample of 8,838 randomly selected hemodialysis patients and 1,650 randomly selected adult peritoneal dialysis patients in summer 1999. CONCLUSION The development of CPMs based on the NKF-DOQI Clinical Practice Guidelines for dialysis care was accomplished in a timely and effective manner by engaging a broad range of stakeholders and technical experts. The CPMs are important tools to assess and improve the quality of dialysis care in the United States. Few comparable efforts exist in other fields of medicine.

Trends in Perinatal and Infant Health Disparities Between Rural American Indians and Alaska Natives and Rural Whites

OBJECTIVES We examined disparities in perinatal care, birth outcomes, and infant health between rural American Indian and Alaska Native (AIAN) persons and rural Whites over time. METHODS We compared perinatal and infant health measures for 217 064 rural AIAN births and 5 032 533 rural non-Hispanic White births. RESULTS Among American Indians and Alaska Natives, unadjusted rates of inadequate prenatal care (1985-1987, 36.3%; 1995-1997, 26.3%) and postneonatal death (1985-1987, 7.1 per 1000; 1995-1997, 4.8 per 1000) improved significantly. However, disparities between American Indians and Alaska Natives and Whites in adjusted odds ratios (AORs) of postneonatal death (1985-1987, AOR = 1.55; 95% confidence interval [CI] = 1.41, 1.71; 1995-1997, AOR = 1.46; 95% CI = 1.31, 1.64) and adjusted risk ratios (ARRs) of inadequate prenatal care (1985-1987, ARR = 1.67; 95% CI = 1.65, 1.69; 1995-1997, ARR = 1.84; 95% CI = 1.81, 1.87) persisted. CONCLUSIONS Despite significant decreases in inadequate prenatal care and postneonatal death among American Indians and Alaska Natives, additional measures are needed to close persistent health gaps for this group.

Motor-vehicle crash-injury risk factors among American Indians.

The rates of motor-vehicle crash mortality are highest among American Indians and Alaska Natives, compared to other ethnic groups. The aim of this study was to compare risk factors for motor-vehicle crashes and occupant injuries between rural and urban American-Indian (AI) drivers, and between rural AI and non-AI rural drivers. A statewide traffic-accident database was linked to the Indian Health Service patient-registration database to identify crashes that involved American-Indian drivers. Using a cross-sectional design, crashes occurring in a two-county region during 1989 and 1990 were studied. A total of 9329 motor-vehicle crashes involving 16,234 drivers and 6431 passengers were studied. Two percent of drivers were American Indian. Compared to American-Indian drivers in urban crashes, rural crashes involving American-Indian drivers were more likely to result in injury or death (38% vs 64% p < 0.001). The difference in risk for crashes between urban and rural non-AI drivers was not as high (42% vs 33%). Only 44 percent of rural American-Indian motor-vehicle occupants reported wearing seat belts, compared to 70 percent of urban American-Indian occupants (p < 0.05). Rates of driver alcohol impairment, as assessed by the police, were much higher among AI drivers and highest among rural AI drivers. We conclude that, compared to non-American-Indian drivers, AI drivers are less likely to be restrained and more likely to be alcohol-impaired at the time of the crash. These risks are higher among rural AI drivers than urban AI drivers.

The safety net medical home initiative: transforming care for vulnerable populations.

Background:Despite findings that medical homes may reduce or eliminate health care disparities among underserved and minority populations, most previous medical home pilot and demonstration projects have focused on health care delivery systems serving commercially insured patients and Medicare beneficiaries. Objectives:To develop a replicable approach to support medical home transformation among diverse practices serving vulnerable and underserved populations. Design:Facilitated by a national program team, convening organizations in 5 states provided coaching and learning community support to safety net practices over a 4-year period. To guide transformation, we developed a framework of change concepts aligned with supporting tools including implementation guides, activity checklists, and measurement instruments. Subjects:Sixty-five health centers, homeless clinics, private practices, residency training centers, and other safety net practices in Colorado, Idaho, Massachusetts, Oregon, and Pennsylvania. Measures:We evaluated implementation of the change concepts using the Patient-Centered Medical Home-Assessment, and conducted a survey of participating practices to assess perceptions of the impact of the technical assistance. Results:All practices implemented key features of the medical home model, and nearly half (47.6%) implemented the 33 identified key changes to a substantial degree as evidenced by level A Patient-Centered Medical Home-Assessment scores. Two thirds of practices that achieved substantial implementation did so only after participating in the initiative for >2 years. By the end of the initiative, 83.1% of sites achieved external recognition as medical homes. Conclusions:Despite resource constraints and high-need populations, safety net clinics made considerable progress toward medical home implementation when provided robust, multimodal support over a 4-year period.

Use of the Therapeutic Footwear Benefit Among Diabetic Medicare Beneficiaries in Three States, 1995

OBJECTIVE To determine the extent to which Medicare provided reimbursement for therapeutic footwear to diabetic Medicare beneficiaries in Washington, Alaska, and Idaho in 1995. RESEARCH DESIGN AND METHODS Using inpatient, outpatient, and durable medical equipment claims data, we selected a cohort of diabetic Medicare beneficiaries. Therapeutic footwear claims were identified using a set of billing codes intended only for the diabetes footwear benefit. People at “high risk” or “possibly increased risk” for foot problems who might benefit from therapeutic footwear were identified using a combination of International Classification of Diseases, Ninth Revision, Clinical Modification (1CD-9-CM) diagnostic codes in any of the databases. RESULTS Among 608,804 beneficiaries, 10.2% (62,170) met the inclusion criteria for diabetes. Of the diabetic beneficiaries, 13.0% (8,079) had at least one “high risk” diagnosis, and 14.0% (8,686) had at least one “possibly increased risk” diagnosis. The percentage of diabetic beneficiaries with therapeutic footwear claims was 2.9% among those with diagnoses high risk, 0.7% among those with diagnoses indicating possibly increased risk, and 0.1% among those with no diagnosis from the list. Altogether, only 0.6% of beneficiaries meeting the diabetes case ascertainment criteria had a therapeutic footwear claim in 1995. CONCLUSIONS Few diabetic Medicare beneficiaries in Washington, Alaska, and Idaho had claims for reimbursement for therapeutic footwear in 1995. The low utilization of the footwear benefit may represent an important opportunity to improve care for Medicare beneficiaries with diabetes. Further work should be done to characterize the use of the benefit in other regions and to assess whether the low level of usage reflects underutilization.