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Community Tracking Study Series

Investigator(s): Center for Studying Health System Change

The Community Tracking Study (CTS), a project of the Center for Studying Health System Change (HSC), is a large-scale longitudinal investigation of health system change and its effects on people. Designed to track a cohort of American communities at two-year intervals beginning in 1996, this major research effort, sponsored by The Robert Wood Johnson Foundation (RWJF), gathers information to monitor and understand the evolution of health care in the United States. CTS is investigating the ways in which hospitals, health plans, physicians, safety-net providers, and other provider groups are restructuring their systems, and the forces driving the organizational changes. Additionally, the project tracks health insurance coverage, access to care, use of health services, health care costs, and perceived quality of health care. Sixty sites (51 metropolitan areas and 9 nonmetropolitan areas) were randomly selected to form the core of CTS and to be representative of the nation as a whole. Much of the information collected by CTS comes from nationally representative surveys of households, health plans, and physicians conducted by HSC. The Household Survey is administered to households in the 60 CTS sites, plus a supplemental national sample of households, covering some 60,000 individuals. A survey of health plans, the Followback Survey, elicits detailed information on private health insurance coverage reported in the Household Survey from organizations that offer or administer private health insurance policies in the CTS sites. The Physician Survey interviews physicians in the 60 CTS sites and a supplemental national sample of physicians. RWJF has built a network of research organizations that are studying various facets of the changing health care system, some of which are simultaneously examining the CTS communities. Stephen H. Long and M. Susan Marquis at RAND conducted an employer survey (Robert Wood Johnson Foundation Employer Health Insurance Survey [Community Tracking Study and State Initiatives in Health Care Reform Program], 1997) with a special emphasis on the 60 CTS sites. At UCLA and RAND, Kenneth B. Wells, Audrey Burman, and Roland Sturm are examining how public policies and markets are affecting access to substance abuse and mental health services. Their survey, National Survey of Alcohol, Drug, and Mental Health Problems [Healthcare for Communities], 1997-1998, reinterviewed some 9,600 respondents from the CTS Household Survey about their health and daily activities, use of alcohol, illicit drugs, and medications, health insurance coverage and coverage for mental health, plus access to, utilization, and quality of behavioral health care.

Showing 1 to 2 of 2 entries.
Study Title/Investigator
Released/Updated
1.
This survey is a component of the Robert Wood Johnson Foundation's Health Tracking Initiative, a program designed to monitor changes within the health care system and their effects on people. Focusing on care and treatment for alcohol, drug, and mental health conditions, the survey reinterviewed respondents to the 1996-1997 CTS Household Survey (COMMUNITY TRACKING STUDY HOUSEHOLD SURVEY, 1996-1997, AND FOLLOWBACK SURVEY, 1997-1998: [UNITED STATES] [ICPSR 2524]). Topics covered by the questionnaire include (1) demographics, (2) health and daily activities, (3) mental health, (4) alcohol and illicit drug use, (5) use of medications, (6) health insurance coverage including coverage for mental health, (7) access, utilization, and quality of behavioral health care, (8) work, income, and wealth, and (9) life difficulties. Five imputed versions of the data are included in the collection for analysis with multiple imputation techniques.
2006-03-30
2.
This survey (HCC2) is a component of the Robert Wood Johnson Foundation's Health Tracking Initiative, an initiative designed to track changes in the the American health care system and their effects. HCC2 reinterviewed respondents to the first National Survey of Alcohol, Drug, and Mental Health Problems (HCC1) and a cross-section of adult respondents from the second Community Tracking Study (CTS) Household Survey (CTS2). Previously, HCC1 reinterviewed a cross-section of adult respondents from the first CTS Household Survey (CTS1). HCC1 is available as the NATIONAL SURVEY OF ALCOHOL, DRUG, AND MENTAL HEALTH PROBLEMS [HEALTHCARE FOR COMMUNITIES], 1997-1998 (ICPSR 3025), CTS1 as the COMMUNITY TRACKING STUDY HOUSEHOLD SURVEY, 1996-1997, AND FOLLOWBACK SURVEY, 1997-1998 (ICPSR 2524), and CTS2 as the COMMUNITY TRACKING STUDY HOUSEHOLD SURVEY, 1998-1999, AND FOLLOWBACK SURVEY, 1998-2000 (ICPSR 3199). Central to the design of the CTS Household Surveys, from which all HCC1 and HCC2 respondents originated, is its community focus. Sixty sites (51 metropolitan and 9 nonmetropolitan areas) were randomly selected to form the core of the CTS surveys and to be representative of the nation as a whole. The CTS Household Surveys were administered to households in the 60 CTS sites (known as the site sample) and to a supplemental national sample of households. Both HCC1 and HCC2 focused on the care and treatment for alcohol, drug, and mental health conditions. Like HCC1, the HCC2 questionnaire collected information on (1) demographics, (2) health and daily activities, (3) mental health, (4) alcohol and illicit drug use, (5) use of medications, (6) general health insurance and insurance coverage for mental health, substance abuse, and prescription medications, (7) access, utilization, and quality of behavioral health care, (8) labor market status, income, and wealth, and (9) life difficulties. Three sets of a data files are supplied with this collection: a set containing the interviews completed with the follow-up sample of persons who responded to HCC1, a set containing the interviews completed with the cross-sectional sample of subjects who responded to CTS2, and a set named the "complete sample" which contains all of the completed interviews. Five imputed versions of the data are included with each set for analysis with multiple imputation techniques.
2006-03-30