Showing 1 – 20 of 20 results.
Curated
Census of Population and Housing, 1980 [United States]: Census Software Package (CENSPAC) Version 3.2 with STF4 Data Dictionaries (ICPSR 7789)
Released/updated on: 2006-01-12
Geographic coverage: United States
This data collection contains the Census Software Package (CENSPAC), a generalized data retrieval system that the Census Bureau developed for use with its public use statistical data files. CENSPAC primarily provides processing capabilities for summary data files, but it also has some features that are applicable to microdata files. The actual software provides sample JCL for system installation, programs for system reconfiguration, source code for CENSPAC, and machine-readable data dictionaries for STF 1, STF 2, STF 3, and STF 4.
Curated
Consumer Expenditure Survey, 1992: Diary Survey (ICPSR 6318)
Released/updated on: 2006-01-12
Geographic coverage: United States
The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index. The survey consists of two separate components: (1) a quarterly Interview Survey in which each consumer unit in the sample is interviewed every three months over a 15-month period, and (2) a Diary Survey completed by the sample consumer units for two consecutive one-week periods. The Diary Survey contains consumer information on small, frequently purchased items such as food, beverages, food consumed away from home, gasoline, housekeeping supplies, nonprescription drugs and medical supplies, and personal care products and services. Participants were asked to maintain expense records, or diaries, of all purchases made each day for two consecutive one-week periods. Information was also elicited at the end of the two-week period on work experience, occupation, industry, retirement status, earnings from wages and salaries, net income from business or profession, net income from one's own farm, and income from other sources. The Consumer Unit Characteristics and Income (FMLY) files supply information on consumer unit characteristics, consumer unit income, and characteristics and earnings of the reference person and his or her spouse. A consumer unit consists of all members of a particular housing unit who are related by blood, marriage, adoption, or some other legal arrangement. Consumer unit determination for unrelated persons is based on financial independence. Member Characteristics (MEMB) files contain selected characteristics for each consumer unit member, including reference person and spouse. The Detailed Expenditures (EXPN) files present weekly data on expenditures at the Universal Classification Code (UCC) level, while the Income (DTAB) files contain weekly data on income at the UCC level. An additional file, Part 20, includes sample programs that can be used for various types of data extraction.
Curated
Consumer Expenditure Survey, 1992: Interview Survey (ICPSR 6372)
Released/updated on: 2006-01-12
Geographic coverage: United States
The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index. The survey consists of two separate components: (1) a quarterly Interview Survey in which each consumer unit in the sample is interviewed every three months over a 15-month period, and (2) a Diary Survey completed by the sample consumer units for two consecutive one-week periods. The Interview Survey was designed to collect data on major items of expense, household characteristics, and income. The expenditures covered by the survey are those that respondents can recall fairly accurately for three months or longer. In general, these expenditures include relatively large purchases, such as those for property, or expenditures that occur on a fairly regular basis, such as rent, utilities, or insurance premiums. Excluded are nonprescription drugs, household supplies, and personal care items. The Consumer Unit Characteristics and Income (FMLY) files in this collection contain consumer unit characteristics, consumer unit income, and characteristics and earnings of both the reference person and the spouse. Summary expenditure data are also provided. The Member Characteristics and Income (MEMB) files present selected characteristics for each consumer unit member, including reference person and spouse. Each record in the FMLY and MEMB files consists of three months of data. Detailed Expenditures (MTAB) files provide monthly data at the Universal Classification Code (UCC) level. In these files expenditures for each consumer unit are classified according to UCC categories and are specified as gifts or nongifts. There may be more than one record for a UCC in a single month if that is what was reported to the interviewer. The Income (ITAB) files supply monthly data at the UCC level for consumer unit characteristics and income. An additional file, Part 24, includes sample programs that can be used for various types of data extraction.
Curated
Primary Care Judgments of Nurses and Physicians, 1976-1978: Clinical Simulation Test -- Chronic Obstructive Pulmonary Disease Data (ICPSR 7731)
Released/updated on: 2006-01-18
Geographic coverage: United States
Time period: 1976-01-01--1978-01-01
This data collection contains four files of the Clinical Simulation Test for chronic obstructive pulmonary disease, an instrument developed by the Primary Care Judgements of Nurses and Physicians Research Project to empirically assess the clinical judgements of physicians and nurses in relation to chronic obstructive pulmonary disease in the period 1976-1978. The purpose of the study was to measure the clinical judgments of health professionals in relation to those of a panel of eight national experts in the specific area of chronic obstructive pulmonary disease. The instrument simulates the clinical processes from presentation of the chief complaint of a 53-year-old Caucasian male with chronic obstructive pulmonary disease through diagnoses and treatment. The Clinical Simulation Test (Part 1) was given to 200 respondents who were divided into six groups: family practice physicians, nurse practitioners with master's degrees, certified nurse practitioners, public health nurses, pre-medical students, and nursing students. The test contains 13 sections and three diagnostic tests. Nine of the test sections required the respondents to choose from a list of possible treatment actions. Four sections were open-ended and required respondents to identify relevant patient data or to list patient problems. During the process, respondents chose appropriate procedures from among a wide range of possible choices. Items also include an evaluation of the test instrument by the respondents, a proficiency scale which is scored by means of a computer program (Part 2), and the responses of 2 panels of experts used for the purpose of test instrument validation (Parts 3 and 4). Demographic items specify age, sex, education, professional preparation, residency program, specialty, position, and disease management experience of respondents. See the related collection, PRIMARY CARE JUDGMENTS OF NURSES AND PHYSICIANS, 1976-1978: CLINICAL SIMULATION TEST -- HYPERTENSION DATA (ICPSR 7732).
Curated
Primary Care Judgments of Nurses and Physicians, 1976-1978: Clinical Simulation Test -- Hypertension Data (ICPSR 7732)
Released/updated on: 2006-01-18
Geographic coverage: United States
Time period: 1976-01-01--1978-01-01
This data collection contains four files of the Clinical Simulation Test for Hypertension (CST:HYP), an instrument developed by the Primary Care Judgements of Nurses and Physicians Research Project to empirically assess the clinical judgements of physicians and nurses in relation to essential hypertension in the period 1976-1978. The purpose of the study was to measure the clinical judgments of health professionals in relation to those of a panel of eight national experts in the specific area of hypertension. The instrument simulates the clinical processes from presentation of the chief complaint of a 46-year-old Caucasian male with essential hypertension through diagnoses and treatment. The Clinical Simulation Test (Part 1) was given to 173 respondents who were divided into six groups: family practice physicians, nurse practitioners with master's degrees, certified nurse practitioners, public health nurses, pre-medical students, and nursing students. The test contains 11 sections and three diagnostic tests. Eight of the test sections required the respondents to choose from among a list of possible treatment options. Three sections were open-ended and required respondents to identify relevant patient data or to list patient problems. During the process, respondents chose appropriate procedures from among a wide range of possible choices. Items also include an evaluation of the test instrument by the respondents, a proficiency scale which is scored by means of a computer program (Part 2), and the responses of eight experts used for the purpose of test instrument validation (Parts 3 and 4). Demographic items specify age, sex, education, professional preparation, residency program, specialty, position, and disease management experience of respondents. See the related collection, PRIMARY CARE JUDGMENTS OF NURSES AND PHYSICIANS, 1976-1978: CLINICAL SIMULATION TEST--CHRONIC OBSTRUCTIVE PULMONARY DISEASE DATA (ICPSR 7731).
The following results may be significantly less relevant compared to results above.
Curated
Decision-Related Research on the Organization of Service Delivery Systems in Metropolitan Areas: Public Health (ICPSR 7374)
Released/updated on: 1992-02-16
Geographic coverage: United States
Time period: 1970-01-01--1975-01-01
This study represents one of four research projects on service delivery systems in metropolitan areas, covering fire protection (DECISION-RELATED RESEARCH ON THE ORGANIZATION OF SERVICE DELIVERY SYSTEMS IN METROPOLITAN AREAS: FIRE PROTECTION [ICPSR 7409]), police protection (DECISION-RELATED RESEARCH ON THE ORGANIZATION OF SERVICE DELIVERY SYSTEMS IN METROPOLITAN AREAS: POLICE PROTECTION [ICPSR 7427]), solid waste management (DECISION-RELATED RESEARCH ON THE ORGANIZATION OF SERVICE DELIVERY SYSTEMS IN METROPOLITAN AREAS: SOLID WASTE MANAGEMENT [ICPSR 7487]), and public health (the present study). All four projects used a common unit of analysis, namely all 200 Standard Metropolitan Statistical Areas (SMSAs) that, according to the 1970 Census, had a population of less than 1,500,000 and were entirely located within a single state. In each project, a limited amount of information was collected for all 200 SMSAs. More extensive data were gathered within independently drawn samples of these SMSAs, for all local geographical units and each administrative jurisdiction or agency in the service delivery areas. Two standardized systems of geocoding -- the Federal Information Processing Standard (FIPS) codes and the Office of Revenue Sharing (ORS) codes -- were used, so that data from various sources could be combined. The use of these two coding schemes also allows users to combine data from two or more of the research projects conducted in conjunction with the present one, or to add data from a wide variety of public data files. The delivery of public health services was investigated in 200 SMSAs plus Minneapolis and St. Paul. The basic data collection effort involved the use of public data sources as well as proprietary data from the American Medical Association (AMA) and the Commission on Professional and Hospital Activities (CPHA). Because of the proprietary nature of some of the data and for the preservation of confidentiality, all analyses were performed at the SMSA level. Unlike the other three related research projects, the present study does not provide disaggregated units of analysis such as the administrative jurisdiction, the individual hospital, or other facilities. Variables describe the characteristics of available professionals and facilities, regulatory factors reflecting the impact of federal and state programs available in the area, and financing factors, including the coverage of state Medicaid programs, Blue Cross and Blue Shield, and Medicare programs. Information is also provided regarding the demographic and socioeconomic characteristics of the population served in each SMSA.
Curated
Current Population Survey: Annual Demographic File, 1985 (ICPSR 8432)
Released/updated on: 1992-02-16
Geographic coverage: United States
This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, noncash benefits, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. (Occupation and industry were coded using the 1980 Census of Population and Housing occupation and industry classification scheme.) Additional data for persons 15 years old and older are available concerning weeks worked and hours worked per week, reason not working full-time, total income and income components, and residence. This file also contains data covering nine noncash income sources such as food stamps, school lunch programs, employer-provided group health insurance plans, employer-provided pension plans, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Information on demographic characteristics, such as age, race, sex, household relationship, martial status, veteran status, educational background, and Hispanic origin, is available for each person in the household enumerated.
Curated
National Health Interview Survey, 1995: Family Resources Income and Assets Supplement (ICPSR 2541)
Released/updated on: 1998-10-15
Geographic coverage: United States
The purpose of the National Health Interview Survey (NHIS) is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive. This supplement contains edited and imputed data for the Income and Assets portion (Part D) of the 1995 Family Resources questionnaire for the National Health Interview Survey. Other components of the Family Resources questionnaire cover Access to Care (Part A), Health Care Coverage (Part B), and Private Plan and Coverage Detail (Part C). The Income and Assets supplement contains variables from the NHIS core Person File (see NATIONAL HEALTH INTERVIEW SURVEY, 1995 [ICPSR 2533]), including sex, age, race, marital status, veteran status, education, income, industry and occupation codes, and limits on activity. Other items focus on employment, income from employment and businesses, other income sources including retirement and Social Security, and asset holdings such as cars, houses, businesses, and investment properties. Additional information on the receipt of income from public programs like AFDC, SSI, and food stamps is also included.
Curated
National Health Interview Survey, 1994: Family Resources Income and Assets Supplement (ICPSR 2656)
Released/updated on: 1999-02-25
Geographic coverage: United States
The purpose of the National Health Interview Survey (NHIS) is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive. This supplement contains edited and imputed data for the Income and Assets portion (Part D) of the 1994 NHIS Family Resources questionnaire. Other components of the Family Resources questionnaire cover Access to Care (Part A), Health Care Coverage (Part B), and Private Plan and Coverage Detail (Part C). The Income and Assets supplement contains variables from the NHIS core Person File (see NATIONAL HEALTH INTERVIEW SURVEY, 1994 [ICPSR 2533]), including sex, age, race, marital status, veteran status, education, income, industry and occupation codes, and limits on activity. Other items focus on employment, income from employment and businesses, other income sources including retirement and Social Security, and asset holdings such as cars, houses, businesses, and investment properties. Additional information on the receipt of income from public programs like Aid to Families with Dependent Children (AFDC), Supplemental Security Income (SSI), and food stamps is also included.
Self-published
Nationally Representative Behavioral Risk Factor Surveillance System (BRFSS) Cognitive Decline and Caregiver Datasets, 2019-2022 (ICPSR 244591)
Released/updated on: 2026-05-27
Time period: 2019-01-01--2022-01-01
This code and corresponding data files are intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The two datasets include the most recently available data from each state during 2019-2022 where a US state participated in either the Cognitive Decline Module or the Caregiver Module. All data are derived from the Behavioral Risk Factor Surveillance System (BRFSS). BRFSS is a system of phone surveys that collect state data on health-related risk behaviors, chronic health conditions, and the use of preventive services in the U.S. adult population. BRFSS is conducted in three waves, or “versions,” each year. Core questionnaires from BRFSS must be asked of all respondents in each wave and are asked, with some exceptions, in all 50 U.S. states, D.C., and some U.S. territories. Individual states may opt to include additional optional modules, such as the Cognitive Decline Module and Caregiver Module, that may be asked in some or all the waves. Data is weighted to the state-level. Taken together, researchers can generate either state-level estimates or semi-nationally representative estimates when including all states. Both datasets include: cleaned sociodemographic information on respondents’ state, age, sex, race, education, and marital status; general, mental, and physical health; and questions from either the Caregiver Module or the Cognitive Decline Module for all states who participated in the respective optional module. Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed data cleaning can be found in the provided data dictionaries. The respective dictionaries also include tables showing which states, years, and versions are used. Note that for each dataset, there are 2-3 states that did not participate in the included years. SAS, Stata, and CSV data file formats are provided as are the full coding scripts used in Stata.
Self-published
Bynum 1-Year Standard Method for identifying Alzheimer’s Disease and Related Dementias (ADRD) in Medicare Claims data (ICPSR 183523)
Released/updated on: 2023-06-22
Here, you will find resources to use the Bynum-Standard 1-Year Algorithm including a README file that accompanies SAS and Stata scripts for the 1-Year Standard Method for identifying Alzheimer’s Disease and Related Dementias (ADRD) in Medicare Claims data. There are seven script files (plus a parameters file for SAS [parm.sas]) for both SAS and Stata. The files are numbered in the order in which they should be run; the five “1” files may be run in any order.The full algorithm requires access to a single year of Medicare Claims data for (1) MedPAR, (2) Home Health Agency (HHA) Claims File, (3) Hospice Claims File, (4) Carrier Claims and Line Files, and (5) Hospital Outpatient File (HOF) Claims and Revenue Files. All Medicare Claims files are expected to be in SAS format (.sas7bdat).For each data source, the script will output three files*:
- Diagnosis-level file: Lists individual ADRD diagnoses for each beneficiary for a given visit. This file allows researchers to identify which ICD-9-CM or ICD-10-CM codes are used in the claims data.
- Service Date-level file: Aggregated from the Diagnosis-level file, this file includes all beneficiaries with an ADRD diagnosis by Service Date (date of a claim with at least one ADRD diagnosis).
- Beneficiary-level file: Aggregated from the Service Date-level file, this file includes all beneficiaries with at least one* ADRD diagnosis at any point in the year within a specific file
Self-published
Behavioral Risk Factor Surveillance System (BRFSS) for Dementia Researchers, 2015-2024 (ICPSR 154421)
Released/updated on: 2026-02-02
Time period: 2015-01-01--2024-01-01
This code and corresponding data files are intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The files include ten years of cleaned datasets derived from the 2015-2024 years of the Behavioral Risk Factor Surveillance System (BRFSS). BRFSS is a system of phone surveys that collect state data on health-related risk behaviors, chronic health conditions, and the use of preventive services in the U.S. adult population. BRFSS is conducted in three waves, or “versions,” each year. Core questionnaires from BRFSS must be asked of all respondents in each wave and are asked, with some exceptions, in all 50 U.S. states, D.C., and some U.S. territories for 2015-2024. Individual states may opt to include additional modules, such as the Cognitive Decline Module, that may be asked in some or all the waves. This project uses the “full year” files, meaning that optional modules are only included for a state if they asked it in all three waves. The provided datasets include cleaned sociodemographic information on respondents’ state, age, sex, race, education, and marital status from the full year data files (e.g., “2016 BRFSS Data”). The datasets also include the Caregiver Module and the Cognitive Decline Module for states which included either in all three waves of data collection. All states are included regardless of Caregiver or Cognitive Decline Module use. The files were constructed to allow for users to append multiple years of data for longitudinal analysis. Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed data cleaning can be found in the provided data dictionaries. Users may also refer to the provided “Overview of variables across years” for a quick look at variation in questions across years. SAS, Stata, and CSV data file formats are provided as are the full coding scripts used in Stata.Updated in Version 4 (released February, 2026): All files now include a unique identifier for each respondent (concatenation of state_fips/_state and seqno). The files are now available through 2024. Users should note that the Cognitive Decline Module had a significant refresh in 2023; the Caregiver Module had a significant refresh in 2024.
Curated
Current Population Survey: Annual Demographic File, 1984 (With 1985-Based Weights) (ICPSR 8418)
Released/updated on: 1992-02-16
Geographic coverage: United States
This is a new version of a data collection that was previously released under the title CURRENT POPULATION SURVEY: ANNUAL DEMOGRAPHIC FILE, 1984 (ICPSR 8300). The earlier dataset used the 1980 Census as a basis for weighting. This reweighted file instead uses a new weighting procedure introduced into the Current Population Survey monthly estimation beginning in January 1985. It will enable users to gauge the impact of the new weighting procedure on estimates of change from March 1984 to March 1985. Both versions of the 1984 Annual Demographic File are available to users. This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, noncash benefits, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. (Occupation and industry were coded using the 1980 Census of Population occupation and industry classification schemes.) Additional data for persons 15 years old and older are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence on March 1, 1983. This file also contains data covering nine noncash income sources such as food stamps, school lunch programs, employer-provided group health insurance plans, employer-provided pension plans, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Information on demographic characteristics, such as age, race, marital status, veteran status, educational attainment, household relationship, and Hispanic origin, is available for each person in the household enumerated.
Self-published
Medical Expenditure Panel Survey (MEPS) for Dementia Researchers, 2015-2019 (ICPSR 154381)
Released/updated on: 2021-11-30
Time period: 2015-01-01--2019-01-01
This series of code and corresponding data files are intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The files include five datasets derived from the 2015-2019 Medical Expenditure Panel Survey (MEPS). MEPS provides users with detailed information on the cost and use of health care and health insurance coverage in the U.S., surveying families and individuals, their medical providers, and employers. The provided datasets include sociodemographic information on respondents’ census region, age, sex, marital status, race, and education level, cognition questions, and health care expenditures and use from the Household Component Full-Year Consolidated Data File. These data were merged onto the Medical Components File identifying respondents with ADRD or other cognitive impairments using truncated ICD-9/ICD-10 codes. Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed calculations can be found in the provided data dictionaries. SAS, Stata, and CSV file formats are provided as are the full coding scripts used in both SAS and Stata.
Curated
Bureau of Health Professions Area Resource File, 1940-1990: [United States] (ICPSR 9075)
Released/updated on: 1994-05-20
Geographic coverage: United States
Time period: 1940-01-01--1990-01-01
The Bureau of Health Professions Area Resource File is a county-based data file summarizing secondary data from a wide variety of sources into a single file to facilitate health analysis. The file contains over 6,000 data elements for all counties in the United States with the exception of Alaska, for which there is a state total, and certain independent cities that have been combined into their appropriate counties. The data elements include: (1) County descriptor codes (name, FIPS, HSA, PSRO, SMSA, SEA, BEA, city size, P/MSA, Census Contiguous County, shortage area designation, etc.), (2) Health professions data (number of professionals registered as M.D., D.O., DDS, R.N., L.P.N., veterinarian, pharmacist, optometrist, podiatrist, and dental hygienist), (3) Health facility data (hospital size, type, utilization, staffing and services, and nursing home data), (4) Population data (size, composition, employment, housing, morbidity, natality, mortality by cause, by sex and race, and by age, and crime data), (5) Health Professions Training data (training programs, enrollments, and graduates by type), (6) Expenditure data (hospital expenditures, Medicare enrollments and reimbursements, and Medicare prevailing charge data), (7) Economic data (total, per capita, and median income, income distribution, and AFDC recipients), and (8) Environment data (land area, large animal population, elevation, latitude and longitude of population centroid, water hardness index, and climate data).
Self-published
National Health Interview Survey (NHIS) for Dementia Researchers, 2007-2018 (ICPSR 154401)
Released/updated on: 2021-11-30
This series of code and corresponding data files are intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The files include twelve years of cleaned datasets derived from the 2007-2018 years of the National Health Interview Survey (NHIS). NHIS is a nationally representative study aimed at monitoring the health of the non-institutionalized United States population. The provided datasets include sociodemographic information on respondents’ age, sex, race, and marital status from the Sample Adult Files, cognition variables from the Sample Adult files and, in applicable years, merged cognition data from the Adult Functioning and Disability (AFD) supplement. The files were constructed to allow for users to append multiple years of data for longitudinal analysis. Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed calculations can be found in the provided data dictionaries. Users may also refer to the provided “Overview of variables across years” document to see which variables are available each year. SAS, Stata, and CSV data file formats are provided as are the full coding scripts used in Stata.
Self-published
National Health and Nutrition Examination Survey (NHANES) for Dementia Researchers, 2011-2014 (ICPSR 151621)
Released/updated on: 2021-10-20
Time period: 2011-01-01--2014-01-01
This repository represents a series of code and corresponding data files intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The files include three datasets derived from the 2011-12 and 2013-14 National Health and Nutrition Examination Survey (NHANES) panels (survey years 2011-12, 2013-14, and 2-year appended data file). NHANES is a nationally representative program of studies that, among many other things, allows researchers to assess the health of adults in the United States. The provided datasets include sociodemographic information on respondents’ age, sex, race, and education levels merged onto individual and summary cognition variables generated from 1) the word learning and recall modules from the Consortium to Establish a Registry for Alzheimer's Disease neuropathology protocol (CERAD), 2) the Animal Fluency test, and 3) the Digit Symbol Substitution test (DSST). Cognition variables were then standardized on relevant sociodemographic characteristics (education, race, and age). Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed calculations can be found in the provided data dictionaries. SAS, Stata, and CSV file formats are provided as are the full coding scripts used in both SAS and Stata.
Curated
The Health Care Cost of Elder Abuse: An Analysis of Medicare, Medicaid, and Adult Protective Services Data in Maine, 2006-2014 (ICPSR 37372)
Released/updated on: 2024-07-30
Geographic coverage: United States, Maine
Time period: 2006-01-01--2014-12-31
In partnership with the Maine Department of Health and Human Services, this study analyzed approximately 200 case files of Maine Adult Protective Services (APS) substantiated investigations of financial exploitation that were opened and completed from 2007 through 2012. The case files included detailed information about the types of abuse individuals experienced, their functional limitations, and severity of risk status. The research team linked the case files with the individuals' Medicare and Medicaid claims data from 2006 through 2014 to examine their claims experience one year prior to APS contact, during their APS event year, and two years following their APS event year. Using a quasi-experimental design, the research team established health care use and cost profiles of the APS clients and compared their profiles to matched controls in the general older population. The project aimed to advance knowledge of the financial impact of elder abuse.
Curated
Indonesian Family Life Survey, 1993 (ICPSR 6706)
Released/updated on: 2006-01-12
Geographic coverage: Kalimantan, Java, Bali, Sumatra, West Nusa Tenggara, Global, Indonesia, Sulawesi
This release of the 1993 Indonesian Family Life Survey (IFLS-1-PR) is a revised and restructured version of the Wave 1 data. This data collection provides a broad range of economic, demographic, and health information at both the household and community levels across 13 provinces on the islands of Java, Sumatra, Bali, West Nusa Tenggara, Kalimantan, and Sulawesi. A sample of 7,224 households was interviewed during August 1993 through January 1994. Household-level data cover topics such as household characteristics, income, education of both adults and children, marriage histories, inter-household transfers, pregnancy history, and knowledge and use of contraceptives. At the community-facility level, information was gathered from village leaders and heads of village women's groups in each of the 321 enumeration areas (EAs) where the households were located. Questions were asked regarding community characteristics (transportation, water and sanitation, history of schools, and availability of health facilities), nurses, midwives, and paramedics (facility management and family planning history, vignettes on types of care), and traditional health practitioners (buying or making herbal medicines or using services of traditional practitioners, rituals, and incantations). When the household data are combined with the community-facility data, the 1993 Indonesian Family Life Survey provides a unique look at areas of fertility, family planning, infant and child health, education, migration, employment, and the social, economic, and health status of over 7,000 households in a diverse setting during a period of rapid demographic and socioeconomic change.
As of June 2015, there are four waves of data for the IFLS. However, a fifth wave of data collection has begun. Please see the IFLS Web site for more information on how to obtain these data.
Curated
Restricted
Evaluating the Cost Effectiveness of the Elder Abuse Forensic Center Model in Los Angeles County, California, 2007-2013 (ICPSR 35484)
Released/updated on: 2017-06-29
Geographic coverage: Los Angeles, California
Time period: 2013-03-07--2013-05-23, 2007-04-01--2009-12-31, 2007-01-01--2011-01-01
These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed.
This study evaluated the cost effectiveness of the Los Angeles Elder Abuse Forensic Center (EAFC) by examining costs associated elder abuse cases processed under a multidisciplinary team approach. Using data collected in Evaluating the Elder Abuse Forensic Center Model in Los Angeles County, California, 2007-2009 (ICPSR 34979) researchers focused on the key components, participants, and processes necessary to operate the Los Angeles EAFC and identified the costs required to process an elder abuse case as well as the outcomes attained by the EAFC. This study also carried out a survey of Adult Protective Service (APS) social workers on time spent on different case process activity and their perception on efficiency of the Los Angeles EAFC, and collected associated costs estimates.