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National Evaluation Database for the Partnership for Long-Term Care (PLTC) [California, Connecticut, and Indiana], 1992-1998 (ICPSR 2844)

Released/updated on: 2024-02-14

Geographic coverage: Indiana, United States, Connecticut, California

Time period: 1992-01-01--1998-01-01

These data were collected to evaluate the Partnership for Long-Term Care (PLTC), a project in which the Robert Wood Johnson Foundation awarded grants to four states -- California, Connecticut, Indiana, and New York -- to work with private insurers to create long-term care insurance policies that were more affordable and provided better protection against impoverishment than those generally available. PLTC policies combine private long-term care insurance with special Medicaid eligibility standards that protect assets of the insured once private insurance benefits are exhausted. This collection was extracted from a database compiled from data submitted by three of the PLTC states: California, Connecticut, and Indiana (New York refused participation). It comprises seven parts, which can be linked together using common identifying variables. Part 1, Insured, describes the characteristics of each issued policy and includes variables covering the effective policy date, policy type, elimination periods, maximum benefits, inflation protection mode, and annualized premium, as well as the year of birth, sex, marital status, and state of residence of the insured. Each insured person is represented by one or more records: one record for the initial PLTC policy, plus a separate record for each change to the policy, if any. Part 2, Changes, consists of policy change records used to update the policies in Part 1. Assessments for benefits are recorded in Part 3. This file includes variables on the assessment date, whether the insured met policy criteria at the time of the assessment, disability date, deficiencies in activities of daily living, and MSQ and Folstein test scores. Parts 4-6 describe service payments and utilization: reporting period (quarter), type of service received by the insured, service amount billed, days of service rendered, and amount of remaining benefits (dollars and days). Part 7 contains information on persons denied application to PLTC policies, including date of denial, type and amount of coverage sought, reason for denial, and the sex, year of birth, and marital status of the applicant.

Curated

National Survey of Surgeons on Trauma Care Issues, March-July 1993 (ICPSR 6265)

Released/updated on: 1998-04-28

Geographic coverage: United States

Time period: 1993-03-02--1993-07-01

This study investigated surgeons' practice patterns, experience and training in trauma care, and preferences and opinions about caring for trauma patients. Practice pattern variables include surgical specialty, type of surgical practice arrangement, type of appointment with a medical school or university, membership in the American Academy of Orthopedic Surgeons, the American College of Surgeons, or the American Association of Neurological Surgeons, and whether the respondents' patients paid their bills through private insurance, Medicaid, Medicare, or an HMO. In addition, respondents were queried about their primary hospital, including number of beds, types of physicians employed in the trauma or emergency department, whether the hospital was officially recognized as a trauma center, whether it had a separate clinical trauma service with oversight and responsibility for the care of trauma patients, whether surgical patients were covered 24 hours a day by a resident or in-house physician, and whether there was 24-hour coverage by a resident or in-house physician in the hospital's Intensive Care Unit. To assess experience and training in trauma care, respondents were asked how often they were inappropriately called to evaluate and treat trauma patients, if they had taken trauma call at any hospital during the last 12 months, how many trauma patients they treated during the last 12 months and for what percent of them they received compensation, whether they had taken the Advanced Trauma Life Support (ATLS) Course in the last four years, how much they had learned about trauma from residency training, post-residency fellowship, combat duty in the Armed Forces, journal articles, and colleagues, how confident they were in their ability to provide resuscitation, diagnosis, operative care, and critical care, if they had ever been named in a malpractice suit in a trauma case, non-trauma emergency case, or non-emergency case in certain disease categories, and whether this litigation made them reluctant to take on these types of cases. Preferences and opinions on the care of trauma patients were investigated through questions that asked respondents if they preferred to treat adult or pediatric trauma patients, if they preferred to treat blunt or penetrating trauma, and how taking care of trauma patients affected their image with their peers and community. Respondents were also queried about incentives and disincentives for treating trauma patients, reasons for not providing trauma care, opinions on how trauma cases compared with other emergency cases, and opinions on how various aspects of trauma care in their community were deficient. The data also include information on the age, gender, and geographic location (census region) of the respondents.

Curated

Partially restricted

New York Medicaid Expenditures for People with Developmental Disabilities, 1987-1991 (ICPSR 6350)

Released/updated on: 2024-02-14

Geographic coverage: United States, New York (state)

Time period: 1987-01-01--1991-01-01

This study provides information on Medicaid expenditures for adults with developmental disabilities in New York State. The data were derived from two sources: the New York Office of Mental Retardation and Developmental Disabilities' Developmental Disabilities Profile (OMRDD-DDP) and the New York State Medicaid Management Information System (MMIS). Variables from OMRDD-DDP include client's age, sex, race, Hispanic origin, spoken language, level of intellectual functioning, living arrangement, type of developmental disability (mental retardation, cerebral palsy, autism, epilepsy, learning disability, neurological impairment), whether the client was on medication, and whether he or she had been institutionalized for five years or more. MMIS variables include expenditures for medications and expenditures from Medicaid claims submitted by hospital outpatient departments and clinics. Additional MMIS variables include expenditures from Medicare claims submitted by providers of day treatment, home health care, and medical supplies, as well as providers of physician, nursing, dental, vision, psychological, and laboratory services.

Curated

Partially restricted

Oregon Health Insurance Experiment, 2007-2010 (ICPSR 34314)

Released/updated on: 2014-05-02

Geographic coverage: Oregon

Time period: 2007-01-01--2010-01-01

In 2008, a group of uninsured low-income adults in Oregon was selected by lottery to be given the chance to apply for Medicaid. This lottery provides an opportunity to gauge the effects of expanding access to public health insurance on the health care use, financial strain, and health of low-income adults using a randomized controlled design. The Oregon Health Insurance Experiment follows and compares those selected in the lottery (treatment group) with those not selected (control group). The data collected and provided here include data from in-person interviews, three mail surveys, emergency department records, and administrative records on Medicaid enrollment, the initial lottery sign-up list, welfare benefits, and mortality.

This data collection has seven data files:

Dataset 1 contains administrative data on the lottery from the state of Oregon. These data include demographic characteristics that were recorded when individuals signed up for the lottery, date of lottery draw, and information on who was selected for the lottery, applied for the lotteried Medicaid plan if selected, and whose application for the lotteried plan was approved. Also included are Oregon mortality data for 2008 and 2009.

Dataset 2 contains information from the state of Oregon on the individuals' participation in Medicaid, Supplemental Nutrition Assistance Program (SNAP), and Temporary Assistance to Needy Families (TANF).

Datasets 3-5 contain the data from the initial, six month, and 12 month mail surveys, respectively. Topics covered by the surveys include demographic characteristics; health insurance, access to health care and health care utilization; health care needs, experiences, and costs; overall health status and changes in health; and depression and medical conditions and use of medications to treat them.

Dataset 6 contains an analysis subset of the variables from the in-person interviews. Topics covered by the survey questionnaire include overall health, health insurance coverage, health care access, health care utilization, conditions and treatments, health behaviors, medical and dental costs, and demographic characteristics. The interviewers also obtained blood pressure and anthropometric measurements and collected dried blood spots to measure levels of cholesterol, glycated hemoglobin and C-reactive protein.

Dataset 7 contains an analysis subset of the variables the study obtained for all emergency department (ED) visits to twelve hospitals in the Portland area during 2007-2009. These variables capture total hospital costs, ED costs, and the number of ED visits categorized by time of the visit (daytime weekday or nighttime and weekends), necessity of the visit (emergent, ED care needed, non-preventable; emergent, ED care needed, preventable; emergent, primary care treatable), ambulatory case sensitive status, whether or not the patient was hospitalized, and the reason for the visit (e.g., injury, abdominal pain, chest pain, headache, and mental disorders).

The collection also includes a ZIP archive (Dataset 8) with Stata programs that replicate analyses reported in three articles by the principal investigators and others:

Finkelstein, Amy et al "The Oregon Health Insurance Experiment: Evidence from the First Year". The Quarterly Journal of Economics. August 2012. Vol 127(3).

Baicker, Katherine et al "The Oregon Experiment - Effects of Medicaid on Clinical Outcomes". New England Journal of Medicine. 2 May 2013. Vol 368(18).

Taubman, Sarah et al "Medicaid Increases Emergency Department Use: Evidence from Oregon's Health Insurance Experiment". Science. 2 Jan 2014.

Curated

Partially restricted

Practice Patterns of Young Physicians, 1991: [United States] (ICPSR 6145)

Released/updated on: 2009-09-15

Geographic coverage: United States

The purpose of this survey was to obtain information on the characteristics and practice patterns of early career physicians in order to analyze trends in physicians' activities and the supply of physicians. To that end, the survey interviewed early career physicians and re-interviewed physicians who participated in the previous survey of early career physicians PRACTICE PATTERNS OF YOUNG PHYSICIANS, 1987 (ICPSR 9277). With separate samples drawn for allopathic and osteopathic physicians, the respondents were interviewed about their medical training, medical education financing, career choices and satisfaction, practice arrangements and compensation, and patient care activities. They were also questioned about medical care management in their practice(s), perceptions of their freedom to deliver care, medical malpractice claims, and the composition of their patients, such as the percent who were poor, black, Hispanic, uninsured, covered by Medicaid or Medicare, or had severe physical disabilities, chronic mental illness, or problems with substance abuse. Demographic characteristics covered by the survey include race, Hispanic origin, year of birth, marital status, number and ages of children, and parents' education.

In addition to the variables collected by survey, the allopath sample data also comprise variables obtained from the American Medical Association (AMA) and the Student and Applicant Information Management System (SAIMS) of the Association of American Medical Colleges (AAMC). The AMA variables include gender, name of medical school, board certification status, physician's specialty, and AMA membership, while the SAIMS variables include dates of application to medical school, graduation dates, Medical College Admission Test (MCAT) scores, undergraduate grade-point averages, religious preference, career preference, preferred practice setting, educational debt, scholarship information, and participation in courses/clerkships in different subject areas.

The study comprises five data files. Dataset 1 contains the public-use version of the data for the allopath sample and Dataset 2 the public-use version of the data data for the osteopath sample. Both of these files were generated by ICPSR from the original restricted-use allopath and osteopath data files provided by the principal investigator, which are stored as Datasets 3 and 4 respectively. As noted in the ICPSR Processing Note in the codebook, Dataset 5 contains 26 restricted variables which the principal investigator omitted from the original allopath data (Dataset 3) for reasons of confidentiality. ICPSR received the omitted variables in 2009, 14 years after its initial release of the data.

Curated

Restricted

Practice Patterns of Young Physicians, 1997: [75 Largest Metropolitan Statistical Areas in the United States] (ICPSR 2829)

Released/updated on: 2024-02-14

Geographic coverage: United States

This survey reinterviewed a subsample of physicians who responded to the survey PRACTICE PATTERNS OF YOUNG PHYSICIANS, 1991: [UNITED STATES] (ICPSR 6145). Respondents answered questions about their practice arrangements, such as the number of different medical practices that they worked in during the past month, the number of hours spent providing patient care, and the number of patients seen in the past week. They also described the characteristics of their main practice in terms of type of practice setting, practice ownership, number of physicians, percentage of revenues from patients covered by Medicaid and Medicare, share of Medicaid and Medicare revenues from managed care organizations, percentage of patients with no health insurance coverage, and percentage of Black and Hispanic patients. Other information covered whether the practice had a formal mechanism for reviewing clinical practice decisions, whether it had contracted to provide care through a Preferred Provider Organization (PPO), Health Maintenance Organization (HMO), or Independent Practice Arrangement (IPA), whether it was joined with one or more physician practices or was purchased by an insurance company in the past two years, percentage of revenues from PPO, HMO, and IPA arrangements, and whether there were personal financial incentives that favored reducing or expanding services to patients. Additionally, respondents were asked whether contracts or other communications received from insurance plans implied that continued participation in the plans depended upon costs associated with their clinical decisions, or implied that they should not tell patients about restrictions on coverage for medically accepted testing, treatment, or referral options. Other questions probed respondents' career satisfaction, ethical beliefs regarding the practice of medicine, and freedom to practice medicine as they saw fit. The survey also gathered information on determinants of physician compensation, medical specialty, income, marital status, spouse's occupation, and the number of children living with the respondent.

Curated

Simple Crosstabs

Primary Care Audit Study for 10 States in the United States, 2012-2013, 2014 & 2016 (ICPSR 36785)

Released/updated on: 2018-10-10

Geographic coverage: Oregon, Montana, Iowa, United States, Illinois, Texas, Massachusetts, Georgia, Arkansas, New Jersey, Pennsylvania

Time period: 2012-01-01--2013-01-01, 2014-01-01--2014-01-01, 2016-01-01--2016-01-01

Coverage expansion under the Affordable Care Act (ACA) has important implications for access, and the value of coverage is dependent on the ability to access care. Most information about access to care comes from household or physician surveys.

The current data collection was gathered as a part of the Primary Care Audit Study for 10 States in the United States, 2012-2013, 2014 and 2016 to assess variation in access to primary care using a methodology that was applied across different types of states (Arkansas, Georgia, Illinois, Iowa, Massachusetts, Montana, New Jersey, Oregon, Pennsylvania, and Texas) at baseline and over-time. The project was broken up into three phases: before the ACA (2012-2013), during the launch of ACA coverage provisions such as the Medicaid fee bump and ACA marketplaces (2014), and after the full ACA implementation (2016). Insurance types in the study included commercial coverage, Medicaid, uninsured, and, in 2014 and 2016, plans purchased on the ACA market place.

The audit-level file, featured in part one of the collection, includes all completed calls and provides information from multiple dimensions (appointment availability, wait times, simulated patients' demographics, cost information, etc.).

The office-level file, featured in part two of the collection, covers all eligible offices and their characteristics (e.g., size, insurance acceptability, cost information, etc.) collected from the screening phase.

Demographic variables include simulated caller number, race, gender, and age.

Curated

Six-State Survey of Elderly Dual Enrollees in Medicare and Medicaid, 1999 (ICPSR 3240)

Released/updated on: 2024-02-14

Geographic coverage: Iowa, United States, Massachusetts, Georgia, New Jersey, Wisconsin, Washington

This survey, conducted in Georgia, Iowa, Massachusetts, New Jersey, Washington, and Wisconsin, examined access to health care among elderly dual enrollees in Medicare and Medicaid. Respondents provided information about their health status, unmet needs for care, care availability, care utilization, quality of care, and difficulty in activities related to personal care and independent living. Additionally, the survey questioned respondents about private health insurance coverage, out-of-pocket expenses for prescribed medicines and medical bills as a whole, delays in getting health care caused by money problems, and concerns with neighborhood crime and violence at home. Background variables include sex, age (two age groups), race, Hispanic origin, education, home ownership, income, and work status at age 65.