Application of Capture-Recapture Methods for Disease Monitoring: Potential Effects of Imperfect Record Linkage

1994 ◽  
Vol 33 (05) ◽  
pp. 502-506 ◽  
Author(s):  
H. Brenner
Keyword(s):  
Record Linkage ◽  
False Positive ◽  
Quantitative Assessment ◽  
False Negative ◽  
Monitoring Systems ◽  
Disease Monitoring ◽  
Correction Procedure ◽  
Case Ascertainment ◽  
Capture Recapture

Abstract:Capture-recapture methods are increasingly employed to correct for underascertainment of cases in disease monitoring. Routine systems of disease monitoring, such as morbidity registries, are often prone to specific threats of validity, such as in imperfect diagnoses or imperfect record linkage. A quantitative assessment is given of the performance of the two-source capture-recapture method for disease monitoring in the presence of imperfect record linkage. The capture-recapture approach can eliminate underestimation of the number of eligible cases, which is typical for most disease monitoring systems, under certain conditions, including independence of sources of case ascertainment and perfect record linkage. Correction for underestimation remains less than perfect, however, in the case of false-positive matches, whereas application of capture-recapture methods leads to overestimation of case numbers in the presence of false-negative matches. A simple correction procedure to overcome potential overestimation by false-negative matches is outlined.

Efficiency and Accuracy of Disease Monitoring Systems: Application of Capture-Recapture Methods to Injury Monitoring

1995 ◽  
Vol 142 (10) ◽  
pp. 1069-1077 ◽  
Author(s):  
Ronald E. LaPorte ◽  
Stephen R. Dearwater ◽  
Yue-Fang Chang ◽  
Thomas J. Songer ◽  
Deborah J. Aaron ◽  
...  
Keyword(s):  
Monitoring Systems ◽  
Disease Monitoring ◽  
Capture Recapture

scholarly journals Record-linkage and capture–recapture analysis to estimate the incidence and completeness of reporting of tuberculosis in England 1999–2002

2008 ◽  
Vol 136 (12) ◽  
pp. 1606-1616 ◽  
Author(s):  
N. A. H. VAN HEST ◽  
A. STORY ◽  
A. D. GRANT ◽  
D. ANTOINE ◽  
J. P. CROFTS ◽  
...  
Keyword(s):  
United Kingdom ◽  
Data Quality ◽  
Record Linkage ◽  
False Positive ◽  
Cross Validation ◽  
Data Sources ◽  
The United Kingdom ◽  
Capture Recapture ◽  
Log Linear ◽  
Completeness Of Reporting

SUMMARYIn 1999 the Enhanced Tuberculosis Surveillance (ETS) system was introduced in the United Kingdom to strengthen surveillance of tuberculosis (TB). The aim of this study was to assess the use of record-linkage and capture–recapture methodology for estimating the completeness of TB reporting in England between 1999 and 2002. Due to the size of the TB data sources sophisticated record-linkage software was required and the proportion of false-positive cases among unlinked hospital-derived TB records was estimated through a population mixture model. This study showed that record-linkage of TB data sources and cross-validation with additional TB-related datasets improved data quality as well as case ascertainment. Since the introduction of ETS observed completeness of notification in England has increased and the results were consistent with expected levels of under-notification. Completeness of notification estimated by a log-linear capture–recapture model was highly inconsistent with prior estimates and the validity of this methodology was further examined.

Case Ascertainment: The Composite International Diagnostic Interview

2000 ◽  
Vol 34 (1_suppl) ◽  
pp. A161-A163 ◽  
Author(s):  
Gavin Andrews
Keyword(s):  
False Positive ◽  
False Negative ◽  
Composite International Diagnostic Interview ◽  
Structured Interview ◽  
Diagnostic Interview ◽  
Current Situation ◽  
Community Surveys ◽  
Case Ascertainment ◽  
Diagnostic Interviews

Objective To outline the utility of the Composite International Diagnostic Interview (CIDI) in the diagnosis of psychosis. Method Report current situation. Results The CIDI was designed as a fully structured interview to be used by lay interviewers. It generates false positive diagnoses in community surveys and false negative diagnoses in psychiatric settings. A new psychosis module has been developed to reduce these problems. Conclusions The diagnosis of psychosis by fully structured diagnostic interviews is difficult.

scholarly journals Completeness of notification of tuberculosis in The Netherlands: how reliable is record-linkage and capture–recapture analysis?

2006 ◽  
Vol 135 (6) ◽  
pp. 1021-1029 ◽  
Author(s):  
N. A. H. van HEST ◽  
F. SMIT ◽  
H. W. M. BAARS ◽  
G. De VRIES ◽  
P. E. W. De HAAS ◽  
...  
Keyword(s):  
The Netherlands ◽  
Record Linkage ◽  
False Positive ◽  
Cross Validation ◽  
Extrapulmonary Tuberculosis ◽  
Tuberculosis Patients ◽  
Capture Recapture ◽  
Violation Of Assumptions ◽  
Log Linear

SUMMARYThe aim of this study was to describe a systematic process of record-linkage, cross-validation, case-ascertainment and capture–recapture analysis to assess the quality of tuberculosis registers and to estimate the completeness of notification of incident tuberculosis cases in The Netherlands in 1998. After record-linkage and cross-validation 1499 tuberculosis patients were identified, of whom 1298 were notified, resulting in an observed under-notification of 13·4%. After adjustment for possible imperfect record-linkage and remaining false-positive hospital cases observed under-notification was 7·3%. Log-linear capture–recapture analysis initially estimated a total number of 2053 (95% CI 1871–2443) tuberculosis cases, resulting in an estimated under-notification of 36·8%. After adjustment for possible imperfect record-linkage and remaining false-positive hospital cases various capture–recapture models estimated under-notification at 13·6%. One of the reasons for the higher than expected estimated under-notification in a country with a well-organized system of tuberculosis control might be that some tuberculosis cases, e.g. extrapulmonary tuberculosis, are managed by clinicians less familiar with notification of infectious diseases. This study demonstrates the possible impact of violation of assumptions underlying capture–recapture analysis, especially the perfect record-linkage, perfect positive predictive value and absent three-way interaction assumptions.

Critical Evaluation of Impedance Phlebography for the Diagnosis of Deep Vein Thrombosis

1974 ◽  
Vol 31 (02) ◽  
pp. 273-278
Author(s):  
Kenneth K Wu ◽  
John C Hoak ◽  
Robert W Barnes ◽  
Stuart L Frankel
Keyword(s):  
Deep Vein Thrombosis ◽  
False Positive ◽  
False Negative ◽  
Critical Evaluation ◽  
Original Method ◽  
Vein Thrombosis ◽  
Negative Results ◽  
False Negative Results ◽  
Deep Vein ◽  
Positive Results

SummaryIn order to evaluate its daily variability and reliability, impedance phlebography was performed daily or on alternate days on 61 patients with deep vein thrombosis, of whom 47 also had 125I-fibrinogen uptake tests and 22 had radiographic venography. The results showed that impedance phlebography was highly variable and poorly reliable. False positive results were noted in 8 limbs (18%) and false negative results in 3 limbs (7%). Despite its being simple, rapid and noninvasive, its clinical usefulness is doubtful when performed according to the original method.

scholarly journals Preliminary Results of MyCog, a Brief Assessment for the Detection of Cognitive Impairment in Primary Care

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 259-260
Author(s):  
Laura Curtis ◽  
Lauren Opsasnick ◽  
Julia Yoshino Benavente ◽  
Cindy Nowinski ◽  
Rachel O’Conor ◽  
...  
Keyword(s):  
Primary Care ◽  
Cognitive Impairment ◽  
Cognitive Aging ◽  
False Positive ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Self Report ◽  
Card Sorting ◽  
Primary Care Settings

Abstract Early detection of Cognitive impairment (CI) is imperative to identify potentially treatable underlying conditions or provide supportive services when due to progressive conditions such as Alzheimer’s Disease. While primary care settings are ideal for identifying CI, it frequently goes undetected. We developed ‘MyCog’, a brief technology-enabled, 2-step assessment to detect CI and dementia in primary care settings. We piloted MyCog in 80 participants 65 and older recruited from an ongoing cognitive aging study. Cases were identified either by a documented diagnosis of dementia or mild cognitive impairment (MCI) or based on a comprehensive cognitive battery. Administered via an iPad, Step 1 consists of a single self-report item indicating concern about memory or other thinking problems and Step 2 includes two cognitive assessments from the NIH Toolbox: Picture Sequence Memory (PSM) and Dimensional Change Card Sorting (DCCS). 39%(31/80) participants were considered cognitively impaired. Those who expressed concern in Step 1 (n=52, 66%) resulted in a 37% false positive and 3% false negative rate. With the addition of the PSM and DCCS assessments in Step 2, the paradigm demonstrated 91% sensitivity, 75% specificity and an area under the ROC curve (AUC)=0.82. Steps 1 and 2 had an average administration time of <7 minutes. We continue to optimize MyCog by 1) examining additional items for Step 1 to reduce the false positive rate and 2) creating a self-administered version to optimize use in clinical settings. With further validation, MyCog offers a practical, scalable paradigm for the routine detection of cognitive impairment and dementia.

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