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National Survey of Rural Physicians, 1993 (ICPSR 6848)

Released/updated on: 2024-02-14

Geographic coverage: United States

The purpose of this survey was to examine various dimensions of physician availability in rural areas and their impact on access to care. Rural physicians provided information on the characteristics of their current practice setting, such as type of practice arrangement (solo practice, owner/part owner of group practice, employed by another physician or group of physicians, employed by a hospital, community or migrant health center, HMO, or the federal government, or some other arrangement), number of physician and nonphysician personnel in the practice, and number of patient visits. Respondents supplied the number of hours spent providing patient care and traveling to provide care during the most recent complete work week, percentage of time spent providing primary care services, and the usual fee for an office visit for the evaluation and management of an established patient that required a detailed examination, medical decision-making of moderate complexity, and 25 minutes of time face-to-face with the patient (CPT code 99214). Additional topics covered whether the practice had a contract with a preferred provider organization (PPO), a capitated managed care plan such as a health maintenance organization (HMO), or an independent practice association (IPA), and the percentage of the practice's revenue that came from Medicaid, PPOs for privately insured patients, IPAs or HMOs for privately insured patients, and Medicare. The physicians were also asked about plans to expand or reduce their practice, the amount of debt from medical education they carried when they first went to work for the rural practice, and whether working at a rural practice fulfilled a service obligation in exchange for some or all of the debt from their medical education. Respondents' opinions were sought on their practice, the community in which it was located, and on health care reform. Other information gathered by the survey included location of the practice, the year the respondent first went to work for the practice, and the respondent's primary specialty, board certification(s), hospital admitting privileges, marital status, income, race, and Hispanic origin.

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.