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D W Garnick

Publications and source records attributed to D W Garnick.

At least 37 records · Page 2Linked to original sources
PubMed1995

Agreement between physicians' office records and Medicare Part B claims data.

This article tests agreement between demographic, diagnostic, and procedural information from primary-care physicians' office records and Medicare Part B claims for Maryland Medicare beneficiaries. The extent of agreement depended on the category of information being compared. Demographics matched poorly, probably due to incomplete record samples. Important diagnoses were often missing from the medical record. When claims indicated presence of disease, the patient was likely to have the disease, but claims did not capture all people who have the disease. Additionally, many laboratory tests and procedures were missing from the primary-care record. The appropriate use of either of these data sources depends on the specific research question that is being asked.

Demography↗
PubMed1995

Measuring hospital mortality rates: are 30-day data enough? Ischemic Heart Disease Patient Outcomes Research Team.

OBJECTIVE: We compare 30-day and 180-day postadmission hospital mortality rates for all Medicare patients and those in three categories of cardiac care: coronary artery bypass graft surgery, acute myocardial infarction, and congestive heart failure. DATA SOURCES/COLLECTION: Health Care Financing Administration (HCFA) hospital mortality data for FY 1989. STUDY DESIGN: Using hospital level public use files of actual and predicted mortality at 30 and 180 days, we constructed residual mortality measures for each hospital. We ranked hospitals and used receiver operating characteristic (ROC) curves to compare 0-30, 31-180, and 0-180-day postadmission mortality. PRINCIPAL FINDINGS: For the admissions we studied, we found a broad range of hospital performance when we ranked hospitals using the 30-day data; some hospitals had much lower than predicted 30-day mortality rates, while others had much higher than predicted mortality rates. Data from the time period 31-180 days postadmission yield results that corroborate the 0-30 day postadmission data. Moreover, we found evidence that hospital performance on one condition is related to performance on the other conditions, but that the correlation is much weaker in the 31-180-day interval than in the 0-30-day period. Using ROC curves, we found that the 30-day data discriminated the top and bottom fifths of the 180-day data extremely well, especially for AMI outcomes. CONCLUSIONS: Using data on cumulative hospital mortality from 180 days postadmission does not yield a different perspective from using data from 30 days postadmission for the conditions we studied.

Cardiology Service, Hospital↗
PubMed1994

A computerized system for reviewing medical records from physicians' offices.

BACKGROUND: Review of clinical performance in office-based care is increasing in importance as more medical care shifts to outpatient settings. Decisions made in primary care settings can save lives and limit disability through prevention and early intervention in disease. Information is needed to assess quality of care by answering such questions as whether drugs are prescribed and monitored appropriately, follow-up on serious health threats is carried out promptly, or procedures are performed for appropriate indications. Moreover, data from medical records are essential to provide important clinical information not found in the more widely used administrative data sets. Managed care organizations, too, face the need to respond to requests for objective information about the quality of primary care that they provide. Those organizations now planning assessments of primary care will need to consider the cost of obtaining information from medical record review. METHODS: The DEMPAQ Record Review System (DRRS) is a tool for peer review organizations (PROs) to use to review ambulatory care given to Medicare beneficiaries in physicians' offices. The system is described in terms of functions (activities commonly performed in the course of an office visit, such as drug prescribing), indicators (summary measures of quality for each key function of clinical care), and clinical items (for example, specific drugs or tests for each function and indicator)--a total of 263 indicators in all. A framework is provided for measuring the operational costs of a review system based on medical records. RESULTS: The costs directly associated with a fully operational review system were less than $48 per case in Iowa and Alabama and $72 per case in Maryland. On average, reviewers spent about an hour per case signed on to DRRS; average review times declined over time with practice. About half the cost of the review process is accounted for by administrative costs. Therefore, once the effort has been made to obtain records, the additional cost of abstracting more data items is relatively low. Since samples of 300-500 records suffice to measure average performance for a region or state, costs per region/state approximate $15,000 to $25,000 per measurement cycle for assessment of a wide array of clinical areas. SUMMARY: The cost of collecting information on quality of care from medical records using the review system falls within current budgets for PRO review. However, organizations planning to implement a quality improvement campaign should also consider the costs of analyzing the data, reporting information to physicians, and continuing to monitor changes in performance.

Aged↗
PubMed1994

Measuring quality of care: fundamental information from administrative datasets.

Under proposals for national health insurance reform in the USA, employers and purchasing cooperatives will have to measure the quality of health care services. Their need for data systems upon which to base their decisions has stimulated dramatic innovation and rapid change in how health care information is collected, integrated from multiple sources, and reported. To make administrative data useful for quality measurement, careful attention must be given to information about: medical care utilization; patient characteristics; provider characteristics; and health plans. In this paper, we describe the extent to which this information is included in existing administrative datasets. We then suggest how planned datasets should be designed so they can be used to assess the quality of health care.

Databases, Factual↗
PubMed1994

Focus on quality: profiling physicians' practice patterns.

This article presents a physician practice profiling system developed using Medicare data to evaluate the quality of care provided by primary care physicians. We discuss four attributes to physicians' practice profiles that make them useful for quality improvement: flexibility, user involvement in developing profiles, explicit plans for evaluation, and fairness to groups of providers. This system serves as a model for physician profiling with a focus on quality of care measurement.

Aged↗
PubMed1994

Characteristics of private-sector managed care for mental health and substance abuse treatment.

OBJECTIVE: This study examined diversity during the late 1980s in managed care programs for mental health, alcohol abuse, and drug abuse to identify ways in which research can generate more meaningful data on the effectiveness of utilization review programs. METHODS: Telephone interviews were conducted with representatives of utilization review programs for employee health insurance plans in 31 firms that employed 2.1 million people in 1990. Questions addressed qualifications of personnel, clinical criteria to authorize care, integration with employee assistance plans, penalties for not complying with utilization review procedures, outpatient review, and carve out of mental health and substance abuse review. RESULTS: Large variations in utilization review programs were found. Programs employed a range of review personnel and used a variety of clinical criteria to authorize care. More than two-thirds did not carve out mental health and substance abuse review from medical-surgical review. Some firms' employee assistance plans were integrated with utilization review programs, while others remained unintegrated. Penalties for not following program procedures varied widely, as did review of outpatient services. CONCLUSIONS: Because of trends toward even more diversity in utilization review programs in the 1990s, research that identifies the specific features of managed care programs that hold most promise for controlling costs while maintaining quality of care will increasingly be needed.

Alcoholism↗
PubMed1993

How well do Americans understand their health coverage?

Data from two surveys are used in this DataWatch to explore Americans' understanding of their health insurance. First, data from a national survey of consumers are used to examine if people with private health insurance correctly report their coverage for six services. Second, information from an evaluation of a pilot project of subsidized insurance in New York is used to investigate how well newly insured persons understand their coverage. Based on these surveys, almost all privately insured people understand the basic elements of their insurance plans but underestimate their coverage for mental health, substance abuse, and prescription drug benefits and overestimate their coverage for long-term care. People who are newly insured in physician networks or health maintenance organizations seem uncertain about what services their plan covers and restrictions on their choice of hospitals.

Attitude to Health↗
PubMed1993

Choice of hospital for delivery: a comparison of high-risk and low-risk women.

OBJECTIVE: This article tests whether or not the factors that affect hospital choice differ for selected subgroups of the population. DATA SOURCES: 1985 California Office of Statewide Health Planning and Development (OSHPD) discharge abstracts and hospital financial data were used. STUDY DESIGN: Models for hospital choice were estimated using McFadden's conditional logit model. Separate models were estimated for high-risk and low-risk patients, and for high-risk and low-risk women covered either by private insurance or by California Medicaid. The model included independent variables to control for quality, price, ownership, and distance to the hospital. DATA EXTRACTION: Data covered all maternal deliveries in the San Francisco Bay Area in 1985 (N = 61,436). ICD-9 codes were used to classify patients as high-risk or low-risk. The expected payment code on the discharge abstract was used to identify insurance status. PRINCIPAL FINDINGS: The results strongly reject the hypothesis that high-risk and low-risk women have the same choice process. Hospital quality tended to be more important for high-risk than low-risk women. These results also reject the hypothesis that factors influencing choice of hospital are the same for women covered by private insurance as for those covered by Medicaid. Further, high-risk women covered by Medicaid were less likely than high-risk women covered by private insurance to deliver in hospitals with newborn intensive care units. CONCLUSIONS: The results show that the choice factors vary across several broadly defined subgroups of patients with a specific condition. Thus, estimates aggregating all patients may be misleading. Specifically, such estimates will understate actual patient response to quality of care indicators, since patient sensitivity to quality of care varies with the patients' risk status.

Choice Behavior↗
PubMed1991

Can practice guidelines reduce the number and costs of malpractice claims?

Practice guidelines have the potential to reduce the number of malpractice cases and the costs of settling them. However, for practice guidelines to exert any influence, they must be assumed to be (1) developed for conditions or procedures that frequently lead to events for which negligence claims are filed; (2) widely accepted in the medical profession; (3) fully integrated into clinical practice; and (4) straightforward and readily interpreted in a litigation setting. Because the validity of each of these assumptions can be questioned, the idea that inserting practice guidelines into the existing litigation process will generate large savings in the near future is overly optimistic.

Clinical Medicine↗
PubMed1991

Modeling the effect of hospital charges and quality on choice.

The authors apply a conditional choice model to simulate the results of patient and physician choices of hospitals for a specific surgical procedure in response to improvements in quality or changes in charges. The model includes all zip code areas and relevant hospitals in a large metropolitan area and estimates the impact on admissions at each hospital. It can be used to estimate both the impact of decisions by a given hospital and the potential responses of competitors, as well as the effects of selective contracting with hospitals by certain payors.

Choice Behavior↗
PubMed1990

Does quality influence choice of hospital?

In recent years, much information has been provided to the public and to physicians about hospital quality measured in terms of patient outcomes. To examine if, before these public data releases, quality influenced the attractiveness of a hospital to referring or admitting physicians and to patients, we estimated the influences of quality, charges, ownership, and distance on the choice of hospitals for patients with seven surgical procedures and five medical diagnoses in hospitals in three geographic areas in California in 1983. Greater distance and public or proprietary ownership consistently reduced the likelihood of selection while medical school affiliation increased the likelihood of selection. For five of seven surgical procedures and two of five medical diagnoses, hospitals with poorer than expected outcomes attracted significantly fewer admissions. The reverse held for two surgical procedures and one medical diagnosis. The results suggest that quality played an important role in choices among hospitals even before explicit data were widely available.

Aged↗
PubMed1990

Services and charges by PPO physicians for PPO and indemnity patients. An episode of care comparison.

Physicians who participate in preferred provider organizations (PPOs) usually agree to various types of utilization review and sometimes discount their charges or agree to accept lower fees. This study was performed to determine whether they provided more or fewer services to their PPO patients than to their indemnity patients and whether the discounting resulted in lower expenditures for each episode of illness. In 1984, Metropolitan Life offered PPO coverage to Dade County (Florida) school board employees and dependents but only a standard indemnity plan to Dade County government employees and dependents. Episodes of care were examined for patients with chest pain, hypertension, joint pain, gastrointestinal or liver disorders, and lower back pain cared for by physicians who treated patients in both the PPO and indemnity employee groups. For PPO patients, charges per physician service were the same or lower, but total physician charges during an episode were higher. For services such as laboratory tests, diagnostic x-rays, and room and board, PPO and indemnity patients' charges were not significantly different.

Fees, Medical↗
PubMed1989

The sensitivity of conditional choice models for hospital care to estimation technique.

It is plausible that distance, quality, and hospital charges all influence which hospital patients (and their referring physicians) choose. Several researchers have estimated conditional choice models that explicitly incorporate the existence of competing hospitals. To be useful for hospital administrators, health planners and insurers, however, estimates must be made for specific types of patients and include entire market areas. Data sets meeting these requirements have many combinations of hospitals and locations with zero patients. This raises computational difficulties with the linear estimation techniques used previously. In this paper, we use data on patients undergoing cardiac catheterization in several market areas to assess alternative estimation techniques. First, we estimate the conditional choice model with the two techniques used previously to transform the non-linear choice model. These involve using as a reference (1) a single hospital, or (2) the geometric mean of all the hospitals in the market. When there are many zeros, these techniques require extensive adjustments to the data which may lead to biased estimators. We then compare these results with maximum likelihood estimates. The latter results are substantively and significantly different from those using traditional techniques. More importantly, the linear estimates are much more sensitive to the proportion of zeros. We thus conclude that maximum likelihood estimates are preferable when there are many zeros.

California↗
PubMed1988

Hospital volume and patient outcomes. The case of hip fracture patients.

Patients achieve better outcomes at hospitals that treat larger numbers of patients with certain diagnoses or who are undergoing particular procedures. However, the causal direction underlying this relationship is less well understood. Do patients treated at institutions with higher volumes of patients achieve better outcomes because the hospital staff and physicians have gained expertise by practice (the "practice makes perfect" hypothesis)? Do hospitals with a community reputation for excellent results attract higher volumes of patients because primary care physicians refer patients to specialists who practice there (the "selective referral" hypothesis)? Or, are both explanations important? This article addresses this question through a detailed analysis of patients with a particular diagnosis: hip fracture. In addition, two measures of patient outcomes are compared: long hospital stays as a proxy for in-hospital complications and in-hospital death.

Aged↗
PubMed1988

Hospital competition, cost, and medical practice.

The hospital market in the United States has always been competitive, but the nature of that competition has changed in the last few years. In the past, when most patients had third party coverage which reimbursed hospitals for incurred costs, competition focused on quality and services as hospitals sought to attract physicians and their patients. This competition led to duplication of services and facilities in a "medical arms race" which resulted in higher, rather than lower, costs in areas with many hospitals. Hospitals with many neighbors even had longer lengths of stay for patients undergoing specific surgical procedures. Now, with Medicare's Prospective Payment System offering fixed payments for patients with a given diagnosis, there are strong pressures for cost containment. These pressures will have their greatest impact in areas with the most hospitals, especially when health maintenance organizations and preferred provider organizations contract selectively with some hospitals. Hospitals, in turn, will be less responsive to cost-increasing requests by their medical staffs.

Cost Control↗