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Identifying complications and low provider adherence to normative practices using administrative data.

Kuykendall, D H; Ashton, C M; Johnson, M L; Geraci, J M
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em /10/1995 EN
Relevância na Pesquisa
46.17%
OBJECTIVE. This study investigated whether unexpected length of stay (LOS) could be used as an indicator to identify hospital patients who experienced complications or whose care exhibited low adherence to normative practices. DATA SOURCES AND STUDY SETTING. We analyzed 1,477 cases admitted for one of three medical conditions. All cases were discharged from one of nine participating Department of Veterans Affairs (VA) hospitals from October 1987 through September 1989. Analyses used administrative data and information abstracted through chart reviews that included severity of illness indicators, complications, and explicit process of care criteria reflecting adherence to normative practices. STUDY DESIGN. We developed separate multiple linear regression models for each disease using LOS as the dependent measure and variables that could be assumed present at the time of admission as explanatory variables. Unexpectedly long LOS (i.e., discharges with high residuals) was used to target complications and unexpectedly short LOS was used to target cases whose care might have exhibited low adherence to normative practices. Information gleaned from chart reviews served as the gold standard for determining actual complications and low adherence. PRINCIPAL FINDINGS. Analyses of administrative data showed that unexpectedly long LOS identified complications with sensitivities ranging from 40 through 62 percent across the three conditions. Positive predictive values all were at greater than chance levels (p < .05). This represented substantial improvement over identification of complications using ICD-9-CM codes contained in the administrative database where sensitivities were from 26 through 39 percent. Unexpectedly short LOS identified low provider adherence with sensitivities ranging from 33 through 45 percent with positive predictive values all above chance levels (p < .05). The addition to the LOS models of chart-based severity of illness information helped explain LOS...

The validity of hospital administrative data in monitoring variations in breast cancer surgery.

Kahn, L H; Blustein, J; Arons, R R; Yee, R; Shea, S
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em /02/1996 EN
Relevância na Pesquisa
46.08%
To assess the validity of using hospital administrative data to measure variations in surgery for early-stage breast cancer, ICD-9-CM coded information was compared with corresponding tumor registry data for 1293 breast cancer patients undergoing lumpectomy or mastectomy at a tertiary referral center from January 1989 to October 1993. Relative to "gold standard" tumor registry data, the administrative data proved 83.4% sensitive and 80.4% specific in identifying women with localized disease who would be potential candidates for lumpectomy. The proportion of women with localized disease undergoing lumpectomy in groups defined by race and insurance status was nearly identical, whichever data were used. Administrative data, which is often readily and publicly available, may be useful in studying variations in breast cancer treatment in key demographic groups.

Comparison of Methodologies for Calculating Quality Measures Based on Administrative Data versus Clinical Data from an Electronic Health Record System: Implications for Performance Measures

Tang, Paul C.; Ralston, Mary; Arrigotti, Michelle Fernandez; Qureshi, Lubna; Graham, Justin
Fonte: American Medical Informatics Association Publicador: American Medical Informatics Association
Tipo: Artigo de Revista Científica
Publicado em //2007 EN
Relevância na Pesquisa
46.08%
New reimbursement policies and pay-for-performance programs to reward providers for producing better outcomes are proliferating. Although electronic health record (EHR) systems could provide essential clinical data upon which to base quality measures, most metrics in use were derived from administrative claims data. We compared commonly used quality measures calculated from administrative data to those derived from clinical data in an EHR based on a random sample of 125 charts of Medicare patients with diabetes. Using standard definitions based on administrative data (which require two visits with an encounter diagnosis of diabetes during the measurement period), only 75% of diabetics determined by manually reviewing the EHR (the gold standard) were identified. In contrast, 97% of diabetics were identified using coded information in the EHR.

Same Question, Different Data Source, Different Answers? Data Source Agreement for Surgical Procedures on Women with Breast Cancer

Turner, D.; Hildebrand, K.J.; Fradette, K.; S., Latosinsky
Fonte: Longwoods Publishing Publicador: Longwoods Publishing
Tipo: Artigo de Revista Científica
Publicado em /08/2007 EN
Relevância na Pesquisa
46.05%
This study assessed the accuracy of the Manitoba Cancer Registry (MCR) and two administrative data sources, the Manitoba Health hospital discharge file and the Manitoba Health medical claims file, for capturing surgical procedures related to the treatment of breast cancer. The study cohort included all women diagnosed in Manitoba with invasive or in situ breast cancer between 1995 and 1999. The surgical procedures of interest were mastectomy, breast conserving surgery and axillary node dissection. Analysis focused on assessing concordance between data sources following record linkage. Agreement was measured using the kappa statistic, and chart reviews of discordant information were completed to identify the more reliable data source and to validate data files. The effect of using each data set alone to calculate procedure rates was determined to identify any clinically important differences arising from the choice of data source. Results indicate that capture of breast cancer patients using administrative data sets alone can be quite good and that the population-based cancer registry is superior to other administrative data sets for capturing surgical treatment information on cancer cases.

Using Administrative Data for Longitudinal Substance Abuse Research

Evans, Elizabeth; Grella, Christine E.; Murphy, Debra A.; Hser, Yih-Ing
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
46.14%
The utilization of administrative data in substance abuse research has become more widespread than ever. This selective review synthesizes recent extant research from 31 articles to consider what has been learned from using administrative data to conduct longitudinal substance abuse research in four overlapping areas: (1) service access and utilization, (2) underrepresented populations, (3) treatment outcomes, and (4) cost analysis. Despite several notable limitations, administrative data contribute valuable information, particularly in the investigation of service system interactions and outcomes among substance abusers as they unfold and influence each other over the long term. This critical assessment of the advantages and disadvantages of using existing administrative data within a longitudinal framework should stimulate innovative thinking regarding future applications of administrative data for longitudinal substance abuse research purposes.

Integrating Hospital Administrative Data to Improve Health Care Efficiency and Outcomes: “The Socrates Story”

Lawrence, Justin; Delaney, Conor P.
Fonte: Thieme Medical Publishers Publicador: Thieme Medical Publishers
Tipo: Artigo de Revista Científica
Publicado em /03/2013 EN
Relevância na Pesquisa
46.05%
Evaluation of health care outcomes has become increasingly important as we strive to improve quality and efficiency while controlling cost. Many groups feel that analysis of large datasets will be useful in optimizing resource utilization; however, the ideal blend of clinical and administrative data points has not been developed. Hospitals and health care systems have several tools to measure cost and resource utilization, but the data are often housed in disparate systems that are not integrated and do not permit multisystem analysis. Systems Outcomes and Clinical Resources AdministraTive Efficiency Software (SOCRATES) is a novel data merging, warehousing, analysis, and reporting technology, which brings together disparate hospital administrative systems generating automated or customizable risk-adjusted reports. Used in combination with standardized enhanced care pathways, SOCRATES offers a mechanism to improve the quality and efficiency of care, with the ability to measure real-time changes in outcomes.

Integration of Administrative Data and Chart Review for Reporting Health Care Utilization Among Children With Sickle Cell Disease

Raphael, Jean L.; Tran, Xuan G.; Mueller, Brigitta U.; Giardino, Angelo P.
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em //2013 EN
Relevância na Pesquisa
46.11%
Health care utilization of children with sickle cell disease (SCD) has been well documented due to an increase in the use of administrative data sets. While use of such data sources is relatively efficient and low cost, questions remain as to whether they provide sufficient information to fully characterize health care use. The aim of this study was to determine whether administrative data have the capacity to fully assess health care utilization among children with SCD. We studied the health care utilization of 154 low-income children with SCD in a managed care organization combining administrative data and medical record review. In our comparison, we found that administrative claims provided key information on the scope and location of health service use and that sole reliance on medical record review may undercount unique members and encounters.

Survival analyses of postoperative lung cancer patients: an investigation using Japanese administrative data

Kunisawa, Susumu; Yamashita, Kazuto; Ikai, Hiroshi; Otsubo, Tetsuya; Imanaka, Yuichi
Fonte: Springer International Publishing Publicador: Springer International Publishing
Tipo: Artigo de Revista Científica
Publicado em 01/05/2014 EN
Relevância na Pesquisa
46.08%
Long-term survival rates of cancer patients represent important information for policymakers and providers, but analyses from voluntary cancer registries in Japan may not reflect the overall situation. In 2003, the Diagnosis Procedure Combination Per-Diem Payment System (DPC/PDPS) for hospital reimbursement was introduced in Japan; more than half of Japan’s acute care beds are currently covered under this system. Administrative data produced under the DPC system include claims data and clinical summaries for each admission. Due to the large amount of data spanning multiple institutions, this database may have applications in providing a more general and inclusive overview of healthcare. Here, we investigate the use of administrative data for analyses of long-term survival in cancer patients. We analyzed postoperative survival in 7,064 patients with primary non-small cell lung cancer admitted to 102 hospitals between April 2008 and March 2013 using DPC data. Survival was defined at the last date of examination or discharge within the study period, and the event was mortality during the same period. Overall survival rates for different cancer stages were calculated using the Kaplan-Meier method. Additionally, survival rates of cancer patients at clinical stage IA were compared between low- and high-volume hospitals using the Log-rank test. Postoperative 5-year survival for patients at stage IA was 85.8% (95% CI = 78.6%–93.0%). High-volume hospitals had higher survival rates than hospitals with lower volume. Our findings using large-scale administrative data were similar to previous clinical registry reports...

Feasibility of creating a National ALS Registry using administrative data in the United States

KAYE, WENDY E.; SANCHEZ, MARCHELLE; WU, JENNIFER
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
46.11%
Uncertainty about the incidence and prevalence of amyotrophic lateral sclerosis (ALS), as well as the role of the environment in the etiology of ALS, supports the need for a surveillance system/registry for this disease. Our aim was to evaluate the feasibility of using existing administrative data to identify cases of ALS. The Agency for Toxic Substances and Disease Registry (ATSDR) funded four pilot projects at tertiary care facilities for ALS, HMOs, and state based organizations. Data from Medicare, Medicaid, the Veterans Health Administration, and Veterans Benefits Administration were matched to data available from site-specific administrative and clinical databases for a five-year time-period (1 January 2001–31 December 2005). Review of information in the medical records by a neurologist was considered the gold standard for determining an ALS case. We developed an algorithm using variables from the administrative data that identified true cases of ALS (verified by a neurologist). Individuals could be categorized into ALS, possible ALS, and not ALS. The best algorithm had sensitivity of 87% and specificity of 85%. We concluded that administrative data can be used to develop a surveillance system/ registry for ALS. These methods can be explored for creating surveillance systems for other neurodegenerative diseases.

Charlson index scores from administrative data and case-note review compared favourably in a renal disease cohort

Johnston, Marjorie C.; Marks, Angharad; Crilly, Michael A.; Prescott, Gordon J.; Robertson, Lynn M.; Black, Corri
Fonte: Oxford University Press Publicador: Oxford University Press
Tipo: Artigo de Revista Científica Formato: text/html
EN
Relevância na Pesquisa
46.08%
Background: The Charlson index is a widely used measure of comorbidity. The objective was to compare Charlson index scores calculated using administrative data to those calculated using case-note review (CNR) in relation to all-cause mortality and initiation of renal replacement therapy (RRT) in the Grampian Laboratory Outcomes Mortality and Morbidity Study (GLOMMS-1) chronic kidney disease cohort. Methods: Modified Charlson index scores were calculated using both data sources in the GLOMMS-1 cohort. Agreement between scores was assessed using the weighted Kappa. The association with outcomes was assessed using Poisson regression, and the performance of each was compared using net reclassification improvement. Results: Of 3382 individuals, median age 78.5 years, 56% female, there was moderate agreement between scores derived from the two data sources (weighted kappa 0.41). Both scores were associated with mortality independent of a number of confounding factors. Administrative data Charlson scores were more strongly associated with death than CNR scores using net reclassification improvement. Neither score was associated with commencing RRT. Conclusion: Despite only moderate agreement, modified Charlson index scores from both data sources were associated with mortality. Neither was associated with commencing RRT. Administrative data compared favourably and may be superior to CNR when used in the Charlson index to predict mortality.

Transparent Reporting of Data Quality in Distributed Data Networks

Kahn, Michael G.; Brown, Jeffrey S.; Chun, Alein T.; Davidson, Bruce N.; Meeker, Daniella; Ryan, Patrick B.; Schilling, Lisa M.; Weiskopf, Nicole G.; Williams, Andrew E.; Zozus, Meredith Nahm
Fonte: AcademyHealth Publicador: AcademyHealth
Tipo: Artigo de Revista Científica
EN_US
Relevância na Pesquisa
46.07%
Introduction: Poor data quality can be a serious threat to the validity and generalizability of clinical research findings. The growing availability of electronic administrative and clinical data is accompanied by a growing concern about the quality of these data for observational research and other analytic purposes. Currently, there are no widely accepted guidelines for reporting quality results that would enable investigators and consumers to independently determine if a data source is fit for use to support analytic inferences and reliable evidence generation. Model and Methods: We developed a conceptual model that captures the flow of data from data originator across successive data stewards and finally to the data consumer. This “data lifecycle” model illustrates how data quality issues can result in data being returned back to previous data custodians. We highlight the potential risks of poor data quality on clinical practice and research results. Because of the need to ensure transparent reporting of a data quality issues, we created a unifying data-quality reporting framework and a complementary set of 20 data-quality reporting recommendations for studies that use observational clinical and administrative data for secondary data analysis. We obtained stakeholder input on the perceived value of each recommendation by soliciting public comments via two face-to-face meetings of informatics and comparative-effectiveness investigators...

Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review

van Mourik, Maaike S M; van Duijn, Pleun Joppe; Moons, Karel G M; Bonten, Marc J M; Lee, Grace M
Fonte: BMJ Publishing Group Publicador: BMJ Publishing Group
Tipo: Artigo de Revista Científica
EN_US
Relevância na Pesquisa
46.17%
Objective: Measuring the incidence of healthcare-associated infections (HAI) is of increasing importance in current healthcare delivery systems. Administrative data algorithms, including (combinations of) diagnosis codes, are commonly used to determine the occurrence of HAI, either to support within-hospital surveillance programmes or as free-standing quality indicators. We conducted a systematic review evaluating the diagnostic accuracy of administrative data for the detection of HAI. Methods: Systematic search of Medline, Embase, CINAHL and Cochrane for relevant studies (1995–2013). Methodological quality assessment was performed using QUADAS-2 criteria; diagnostic accuracy estimates were stratified by HAI type and key study characteristics. Results: 57 studies were included, the majority aiming to detect surgical site or bloodstream infections. Study designs were very diverse regarding the specification of their administrative data algorithm (code selections, follow-up) and definitions of HAI presence. One-third of studies had important methodological limitations including differential or incomplete HAI ascertainment or lack of blinding of assessors. Observed sensitivity and positive predictive values of administrative data algorithms for HAI detection were very heterogeneous and generally modest at best...

The Effects of School-based Management in the Philippines : An Initial Assessment Using Administrative Data

Khattri, Nidhi; Ling, Cristina; Jha, Shreyasi
Fonte: Banco Mundial Publicador: Banco Mundial
Relevância na Pesquisa
55.98%
This paper estimates the effect of school-based management on student performance in the Philippines using the administrative dataset of all public schools in 23 school districts over a 3-year period, 2003-2005. The authors test whether schools that received early school-based management interventions (training in school-based management and direct funding for school-based reforms) attained higher average test scores than those that did not receive such inputs. The analysis uses school-level overall composite test scores (comprising all subject areas tested) and test scores in three separate subject areas: English, math, and science. Their preferred estimator, difference-in-difference with propensity score matching, shows that the average treatment effect of participation in school-based management was higher by 1.5 percentage points for overall composite scores, 1.2 percentage points for math scores, 1.4 percentage points for English scores, and 1.8 percentage points for science scores. These results suggest that the introduction of school-based management had a statistically significant...

The Effects of School-based Management in the Philippines : An Initial Assessment Using Administrative Data

Khattri, Nidhi; Ling, Cristina; Jha, Shreyasi
Fonte: Taylor and Francis Publicador: Taylor and Francis
Tipo: Artigo de Revista Científica
EN_US
Relevância na Pesquisa
66.03%
This paper estimates the effect of school-based management on student performance in the Philippines using the administrative dataset of all public schools in 23 school districts over a three-year period, 2003–2005. The authors test whether schools that received early school-based management interventions (training in school-based management and direct funding for school-based reforms, based on school improvement plans) attained higher average test scores than those that did not receive such inputs. The analysis uses school-level overall composite test scores (comprising all subject areas tested) and test scores in three separate subject areas: English, mathematics, and science. Their preferred estimator, difference-in-difference with propensity score matching, shows that the average treatment effect of participation in school-based management was higher by 1.5 percentage points for overall composite scores, 1.2 percentage points for mathematics scores, 1.4 percentage points for English scores, and 1.8 percentage points for science scores. These results suggest that the introduction of school-based management had a statistically significant, albeit small, overall positive effect on average school-level test scores in 23 school districts in the Philippines. The paper provides a first glimpse of the potential for school-based management in a Southeast Asian context based on available administrative data. The authors suggest that the next order of research is to answer policy-related questions regarding the reforms: what aspects of the reform lead to desired results; are there differential effects across subpopulations; and what are the potential downsides to the reforms? The authors recommend that countries embarking on implementation of school-based management reforms specify their school-based management model and theories of change clearly and advance mechanisms for rigorous evaluations simultaneously. Such evaluations should not only provide more accurate estimates of the effectiveness of the reforms...

Monitoring Health Care Using National Administrative Data Collections

Kelman, Christopher William
Fonte: Universidade Nacional da Austrália Publicador: Universidade Nacional da Austrália
Tipo: Thesis (PhD); Doctor of Philosophy (PhD)
EN
Relevância na Pesquisa
66.16%
With the inevitable adoption of information technology into all areas of human pursuit, the potential benefits for health care should not be overlooked. In Australia, details of most health care encounters are currently recorded for administrative purposes. This results in an impressive electronic data-bank that could provide a national resource for health service evaluation. ¶ ... ¶ The aims of the project were: · To examine the potential for using administrative data to generate outcome measures and surveillance indicators. · To investigate the logistics of gaining access to these data for the purpose of research. This to be achieved within the current ethical, political and financial framework. · To compare the Australian health-service data system with the current international state-of-the-art. · To develop suggestions for expansion of the present system as part of an integrated health record and information system. This system to manage patient records and provide data for quality management, treatment surveillance and cost-effectiveness evaluation as a routine activity. ¶ The thesis is presented in two parts. In the first part, a historical cohort study is described that involved patients with implantable medical devices. ... ¶ In the second part of the thesis...

Exposed or not exposed? Exploring exposure classification in studies using administrative data to investigate outcomes following medication use during pregnancy

Grzeskowiak, L.E.; Gilbert, A.L.; Morrison, J.L.
Fonte: Springer Verlag Publicador: Springer Verlag
Tipo: Artigo de Revista Científica
Publicado em //2012 EN
Relevância na Pesquisa
46.11%
PURPOSE: The aim of this systematic review was to examine and compare differences in the way medication exposures are classified in studies using linked administrative data to investigate outcomes following medication use during pregnancy. This was undertaken with a focus on studies investigating specific neonatal outcomes following prenatal exposure to selective serotonin reuptake inhibitors (SSRIs). METHODS: We searched Medline and Embase to identify studies that used linked administrative data to investigate specific neonatal outcomes (congenital malformations, birth weight, gestational age) following prenatal exposure to SSRIs. RESULTS: Key factors such as dose, duration and timing of exposure were inconsistently addressed in the studies identified. In addition, there was a great deal of variability in the way medication exposures were classified and how women who stop taking their medication before or during early pregnancy are handled in analyses. Furthermore, there are issues in assuming how and when women who receive a dispensing for a medication actually take it during pregnancy. This creates a great deal of uncertainty around medication exposure during pregnancy in studies using linked administrative data, potentially resulting in biased risk estimates. CONCLUSIONS: There is a need for greater focus on determining the most effective and accurate way of using linked administrative data to investigate outcomes following medication use during pregnancy in an effort to minimise potential biases.; Luke E. Grzeskowiak...

Improving hospital productivity: an analysis of the contribution of administrative/clerical staff to physician productivity

Nixon, Cynthia A.
Fonte: Monterey, California. Naval Postgraduate School Publicador: Monterey, California. Naval Postgraduate School
Tipo: Tese de Doutorado Formato: 81 p.
EN_US
Relevância na Pesquisa
46.07%
Approved for public release; distribution is unlimited.; During the mid 1980s, Navy medicine was under constant criticism by its users, and members of Congress. Between FY85 and FY88, the number of outpatient visits decline 21 percent within Navy Medical Treatment Facilities (MTFs), while CHAMPUS outpatient visits increased 78 percent. During this same period, fleet operational assignments tripled and other programs were implemented that reduced Navy's ability to provide patient care in the U.S. In addition, between fiscal years 1980 through 1988, physician retention rates within Navy declined to 43 percent, lower than the rates for Army and Air Force. According to the GAO, one of the chief complaints of all military physicians is inadequate levels of administrative/clerical support. Thus, it has become increasingly important that Navy manpower requirements be determined with increased accuracy to maximize MTF productivity. This study uses regression analysis to evaluate the functional relationship between administrative staff mix and physician productivity across similar hospitals, focusing on workcenters in the primary care areas, where the need is greatest. Data used in this study is from the Medical Expense and Performance Reporting System (MEPRS). Unfortunately...

Measuring clinical performance: comparison and validity of telephone survey and administrative data.

Thompson, B L; O'Connor, P; Boyle, R; Hindmarsh, M; Salem, N; Simmons, K W; Wagner, E; Oswald, J; Smith, S M
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em /08/2001 EN
Relevância na Pesquisa
46.21%
OBJECTIVE: To compare and validate self-reported telephone survey and administrative data for two Health Plan Employer Data and Information Set (HEDIS) performance measures: mammography and diabetic retinal exams. DATA SOURCES/STUDY SETTING: A telephone survey was administered to approximately 700 women and 600 persons with diabetes randomly chosen from each of two health maintenance organizations (HMOs). STUDY DESIGN: Agreement of survey and administrative data was assessed by using kappa coefficients. Validity measures were assessed by comparing survey and administrative data results to a standard: when the two sources agreed, that was accepted as the standard; when they differed, confirmatory information was sought from medical records to establish the standard. When confirmatory information was not available ranges of estimates consistent with the data were constructed by first assuming that all persons for whom no information was available had received the service and alternately that they had not received the service. PRINCIPAL FINDINGS: The kappas for mammography were .65 at both HMOs; for retinal exam they were .38 and .40. Sensitivity for both data sources was consistently high. However, specificity was lower for survey (range .44 to .66) than administrative data (.99 to 1.00). The positive predictive value was high for mammography using either data source but differed for retinal exam (survey .69 to .78; administrative data .99 to 1.00). CONCLUSIONS: Administrative and survey data performed consistently in both HMOs. Although administrative data appeared to have greater specificity than survey data the validity and utility of different data sources for performance measurement have only begun to be explored.

Psychological Research With Administrative Data Sets: An Underutilized Strategy for Mental Health Services Research

Walkup, James T.; Yanos, Philip T.
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em /10/2005 EN
Relevância na Pesquisa
46.09%
A key element in the identity of professional psychologists is their commitment to base practice on the best knowledge available about a problem being tackled. Although administrative data (e.g., records of provider billing and procedures) can often shed light on the dark areas of the complex U.S. health care system, psychologists make notably little use of them. Experience teaches that decisions must often be made despite the absence of “gold standard” knowledge from the well-designed, controlled studies learned in graduate school. Increased involvement of psychologists in work using administrative data can improve service provision but requires that psychologists adopt unaccustomed approaches to research. The authors discuss administrative data's strengths and limitations, recent progress made in using them, how psychologists can acquire and use low-cost information from administrative data, and examples of questions that can be answered.

Evaluating the quality of survey and administrative data with generalized multitrait-multimethod models

Oberski, Daniel Leonard; Kirchner, Antje; Eckman, Stephanie; Kreuter, Frauke
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 22/08/2015
Relevância na Pesquisa
46.13%
Administrative register data are increasingly important in statistics, but, like other types of data, may contain measurement errors. To prevent such errors from invalidating analyses of scientific interest, it is therefore essential to estimate the extent of measurement errors in administrative data. Currently, however, most approaches to evaluate such errors involve either prohibitively expensive audits or comparison with a survey that is assumed perfect. We introduce the "generalized multitrait-multimethod" (GMTMM) model, which can be seen as a general framework for evaluating the quality of administrative and survey data simultaneously. This framework allows both survey and register to contain random and systematic measurement errors. Moreover, it accommodates common features of administrative data such as discreteness, nonlinearity, and nonnormality, improving similar existing models. The use of the GMTMM model is demonstrated by application to linked survey-register data from the German Federal Employment Agency on income from and duration of employment, and a simulation study evaluates the estimates obtained. KEY WORDS: Measurement error, Latent Variable Models, Official statistics, Register data, Reliability