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"Quality inspection of census results may be conducted in three areas: failure to report...,repetitive reportage...,and erroneous reportage.... This study focuses on error report on age by people of different nationalities in China.... Discussions in this paper are mainly devoted to the accuracy of age reporting...in the fourth census [of 1990]."
"Despite the [U.S.] Census Bureau's great efforts in various accuracy-improvement and outreach programs, census undercount still persists.... This paper focuses on the undercount of the Black population and its impacts in the form of such biased statistics on Blacks as inflated proportions of Black female-headed households, deflated victimization rates of Black males, or crude death rates of Blacks. The paper concludes with suggestions on how to deal with the undercount problems."
"The development of statistical activities in Indonesia since the 1960s is outlined with special reference to demographic surveys and population censuses." The author notes the substantial improvements that have been made in the design, organization, and execution of censuses and surveys and expresses the hope that similar improvements can be made in the vital statistics system. (summary in ENG)
"Changing social values brought about modifications in certain concepts, terminology and questions in the 1981 and 1986 Censuses of Canada. This text examines how the term head of household was replaced by another term for household reference person,...and the consequences for certain data series. On the whole, these changes did not cause any appreciable break in, but rather improved, relevant statistical series. Some unanticipated results of these changes pose a new challenge for Canada's census takers in the 1990's." (SUMMARY IN ENG AND SPA)
The author discusses population censuses in general and describes their utility for research, with a focus on the arrangements under which researchers at institutes of higher education are being provided with data sets from the census. "Although much of the discussion will be specific to the United Kingdom, many of the issues raised will be important in other countries."
The impact of adjusting 1980 U.S. population census figures for the undercount on federal grant allocations to cities is examined. In contrast to claims by local officials that their cities have lost up to 200 dollars per uncounted person in federal grants, the authors suggest that an undercount adjustment "could be expected to add little more than [20 dollars] per uncounted person in a few large cities--with most large cities experiencing much smaller gains or even federal aid losses after an adjustment." Several reasons for this finding are discussed. "They relate to the significant limitations of available techniques for estimating the census undercount; the fact that population data are not used in all formula allocation systems; the varied ways in which population data can affect formula allocation systems when they are used; and [the] assumption that federal aid funds would not increase in proportion to the population added as part of an undercount adjustment procedure for federal grants."
"We present a method for estimating omission rates from censuses. Our method is based on the merger of administrative lists, sampling from these lists, and matching against census rolls. We describe the method, present the results of a test in New York City...in 1980, and evalute the results. We compare our proposed method to other procedures for estimating omission rates."
Questions related to the definition and classification of households and families in the 1990 census round in the Economic Commission for Europe (ECE) region are discussed. The author concludes that "the recommendations for the 1980 censuses of population and housing in the ECE region were largely adequate and should not be substantially revised other than a need to more precisely and concisely state the definition....While there is a demonstrated need to close some information gaps, such as through the provision of longitudinal family data using retrospective surveys, there is also a great need to more effectively use currently available cross-sectional data bases."
"Coverage checks of censuses of population usually show an undercount. However, in [the] 1953 census of population in Yugoslavia a slight overcount was found. This was attributed to housing rationing that created a tendency [to over report].... Similar tendencies are also likely in the enumeration of emigrants. Therefore, more attention is needed to the problem of overcount in countries with housing rationing and strong emigration." (SUMMARY IN GER)
A conceptual framework is presented which outlines uses of client and community data for mental health planning. Client records from a mental health center and 1970 census data were analyzed three ways to illustrate some of these uses: (a) a geographic analysis which compared service utilization rates with the social characteristics of census tracts; (b) a demographic analysis which compared the social characteristics of clients with those of the catchment area population; and (c) an analysis of clients who dropped out of treatment and who left therapy unimproved. The results revealed that (a) census areas characterized by high proportions of disenfranchised groups (e.g., divorced, low status, Spanish heritage) showed high service utilization rates; (b) higher proportions of divorced, high school educated, and unemployed residents utilized services than expected by population estimates; and (c) dropouts from therapy could be discriminated based on demographic differences in marital status, income level, employment status, educational level, ethnicity, and previous mental health treatment.
The National Death Index (NDI) of the National Center for Health Statistics is a powerful tool for identifying deaths in epidemiologic studies. The NDI will generate a list of possible matches for every input record according to the NDI matching criteria. The task of determining a true or correct match out of the list of possible matches becomes formidable when a large number of records are being investigated. In the National Longitudinal Mortality Study nearly one million Census records are being matched to the NDI, thus requiring an efficient and accurate method to screen out the false positive matches. In a pilot study to the larger mortality follow-up, Census Bureau files containing 226,000 person records were matched to the 1979 NDI. The results of this match were used to generate a probabilistic method to separate the possible matches into categories of true positives, false positives and those of questionable status requiring manual review of the Census record and the death certificate. Of the 5542 possible matches about one-third were ultimately determined to be true positives and two-thirds false positives. The probabilistic method was validated by replications on subsets of the data and promises to save considerable time in review of records in the large national study of mortality.
The 1991 Census of England, Wales and Scotland is an improvement on previous censuses in providing fine-grained detail on the geography of limiting long-term illness. Another innovation of the 1991 Census is the release of a Sample of Anonymized Records (SARs). These provide a considerable sample of detailed data on individuals at the sub-regional level. This paper explores individual and geographical variations in morbidity through a multilevel analysis of the SARs. Geographical differences in morbidity are found even after allowing for age, sex, ethnicity, housing tenure, social class and car ownership.
Estimates of terrestrial Broad Habitat cover for Wales from the Countryside Survey 2000 stratified sample field mapping programme in Britain are compared with the findings of a full census field mapping project, the Habitat Survey of Wales. The Countryside Survey sampling regime comprised a stratified random sample of 1 km squares [corrected] covering <0.5% of the land surface. Comparative assessment indicates that although few of the sample-derived estimates for individual Broad Habitats are within 30% of the full census survey results, relative extents accord with data from the complete census survey for all Broad Habitats apart from Arable & Horticultural. The accuracy of this estimate is improved when the national boundary of Wales is taken into account in the sample stratification scheme. It is suggested that cultural land-use differences between countries render cropland habitat extent less predictable from physical environmental parameters than semi-natural habitat extent. It is also shown that the precision of sample-derived cover estimates is influenced by habitat pattern: the error term associated with habitats of broadly equal extent is greater for those with the most clumped distributions.
This paper discusses the development and application of a socio-economic status (SES) index, created to explore the relationship between socio-economic variables and psychiatric service use. The study was conducted in a community-based mental health service (CMHS) in Verona, Northern Italy, utilising service use data from 1996. An ecological SES index was constructed through a factor analysis from 1991 Census data, at census block level. Three factors reflected the following domains: the educational-employment sector (with four components), the relational network (with three components) and the material conditions (with three components). All service users were assigned a SES value, according to their place of residence in 1996. When these data were explored spatially, using ArcView 8.3, an association was observed between socio-economic deprivation and psychiatric service use. The SES index was then successfully validated using occupational status at the individual level. This study confirms the usefulness of developing and validating an ecological census-based SES index, for service planning and resource allocation in an area with a community-based system of mental health care.
STUDY OBJECTIVE: To design and implement a plan for emergency department staffing and additional space to reduce waiting time and the rate of patients leaving without being seen during the viral epidemic season. METHODS: The study was conducted in the ED of a tertiary care children's hospital. We compared 24,657 children who presented for care between November 1996 and March 1997 (VESAS plan enacted) with 24,012 children who presented for care during the same period in the preceding year. VESAS (Viral Epidemic Supplemental Attending and Staff), an additional team of personnel, was on call for the viral epidemic season and was called to work if the hourly ED census that day was 25% or more of the past year's average hourly patient volume. Extra examination rooms were made available in space contiguous to the ED. Interval data, "left without being seen" rates, and ED census were monitored and compared with the previous year's data. RESULTS: The VESAS team was used for 32% of the days during the 4-month intervention period. The left-without-being-seen rate was reduced by 37% (95% confidence interval, 33% to 41%). The average time from arrival to consultation with a physician was decreased by 15 minutes (95% confidence interval, -10 to -20) for all patients. Waiting times were most markedly reduced for less acutely ill or injured patients, although a modest decrease was also observed in patients with more severe illnesses or injuries (-10 minutes). The percentage of lesser-severity patients seen in an urgent care area was increased from 35% to 51%. CONCLUSION: VESAS, a plan for providing space and personnel to handle an increased volume of patients that can be activated on the basis of hourly census data, was successful as judged by waiting times and percentage of patients who left without being seen.
PURPOSE: This is a report of the scientific and cost implications of a census-based design to identify residents aged 55 and over for a community study of the effects of aging on physical function. METHODS: A census of residents in a study community was conducted by the use of a mailed questionnaire. For households that did not complete and return the mailed census questionnaire, contact was attempted first by telephone and then by home visit. A comparison was made of the unit costs and characteristics of subjects identified by the different methods. RESULTS: A total of 3509 age-eligible subjects were identified (78.3% by mailer, 19.5% by telephone, and 2.0% by home visit). Costs per enrolled age-eligible subject were lower for mailing and telephone ($7.76 and $4.72 respectively) than for home visit ($36.25). Subjects identified by home visit were significantly younger than subjects identified either by mail or telephone. After adjustment for age, subjects identified by telephone had less education and income and poorer health and functional status than subjects identified by mail. With the exception of age, there were no significant differences between subjects identified by mailer and home visit. CONCLUSIONS: A mailed questionnaire with telephone recontact is a practical strategy for community-based recruitment. Recontact of subjects by telephone can be expected to identify subjects who are not well-represented in a sample based only on a mailer. In contrast, the home visit is expensive and identifies subjects who do not differ meaningfully from those identified by mailer.
As HIV disease evolves into a chronic and manageable disease, monitoring trends in HIV/AIDS inpatient use will become an important tool clinicians can use to analyze the need for organizational changes in patient care delivery. Monitoring census trends can assist nurses in developing plans of care and evaluating outcome in HIV patients. Nurse managers of AIDS Specialty Units (ASUs) are at the forefront of identifying current inpatient use trends. This article investigates census trends in selected ASUs from the perspective of ASU nurse managers and describes the factors that nurse managers believe to have influenced census trends. Implications for further research are provided.
The abridged census estimator, also known as Weinberg's shorter method, is a device used to estimate lifetime incidence from the observed age distribution of a population at risk coupled with data on the current prevalence of a mental disorder. This method, which still enjoys considerable popularity, should have been replaced many years ago by more accurate techniques for making such estimates using similar information. In particular, the abridged census method uses the assumption that the remaining life expectancy of incident cases equals that of non-cases. This assumption is likely to lead to an underestimate of the lifetime risk. Two examples are presented from published literature which illustrate some problems encountered with the use of the abridged census method. Some alternative estimation methods are presented which can be implemented using only a hand calculator and which lead to more accurate results.