Rob van Hest Capture-recapture Methods in Surveillance - RePub ...

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Underreporting of Legionnaires’ disease in the Netherlands false-positive cases, mainly patients with Escherichia coli pneumonia, a rare nosocomial disease, predominantly occurring among intensive care patients. Data on the annual number of E. coli pneumonia patients in the Netherlands are not available. Based upon an estimated annual number of 60 000 intensive care admissions and an estimated E. coli pneumonia incidence of 1 per 1000 intensive care admissions (derived from a random survey among intensive care consultants in the Netherlands), the estimated annual number of E. coli pneumonia patients is 60. This number is used to correct the number of patients only known to Hospital. Because proxy code 482.8 is used, for cross-validation and collection of additional information, uniform questionnaires requested all chest physicians to report hospitalised Legionnaires’ disease patients in 2000 and 2001. For all patients in each register it was attempted to collect date of birth, postal code digits or town of residence, sex and date of notification (and first day of illness), first laboratory sample or hospital admission as personal identifiers to be used in all recordlinkage procedures. Duplicate entries in each register were deleted. Case-definition and study period Legionnaires’ disease patients are defined as all ascertained (notified, laboratory-reported or hospitalised) and un-ascertained Legionnaires’ disease patients. Notified Legionnaires’ disease patients with a first day of illness in 2000 and 2001 were included in the study. For inclusion of patients known to Laboratory and/or Hospital the laboratory sample date, hospital admission date or first known of both dates were used as proxy for first day of illness. Through examining the registers one month before and after the study period, all registers were corrected for late notification or laboratory results, as described previously. 17 Record-linkage and stratification Record-linkage was performed manually using the patient identifiers, proximity of dates and geographical information found in the three registers. In case of doubt consensus was sought between two investigators. Because of expected geographical differences in incidence of Legionnaires’ disease, after record-linkage, on the basis of the provinces of the Netherlands, ascertained Legionnaires’ disease patients were stratified into four regions: North (1 671 534 inhabitants), East (4 467 527 inhabitants), West (5 955 299 inhabitants) and South (3 892 715 inhabitants) (Figure 1) Correction for the estimated number of E. coli pneumonia patients in the different regions was proportional to the regional division of the total number of patients only ascertained in Hospital. Coverage rates and capture-recapture analysis The ascertained register-specific coverage rate is defined as the number of Legionnaires’ disease patients in each register divided by the case-ascertainment, expressed as percentage. The total number of un-ascertained Legionnaires’ disease patients was estimated on the basis of the distribution of the ascertained cases over the three registers. For internal validity analysis we used two-source capture-recapture analysis, as explained elsewhere. 21 Briefly, by two-source capture-recapture analysis the estimated total number of cases, Nest, equals the number of cases on register A, NA, times the number of cases on register B, NB, divided by the overlap of the two registers, Nboth (Nest = NA x NB/Nboth, also known as the Petersen estimator equation). Approximately unbiased estimates of Nest 67
Chapter 5 Figure 5.1 Four regions of the Netherlands Region North: provinces Groningen, Friesland and Drenthe; Region East: provinces Gelderland, Utrecht, Overijssel and Flevoland; Region West: provinces North-Holland and South-Holland; Region South: provinces Zeeland, North-Brabant and Limburg are expected when the registers are large. To correct for bias caused by small registers Chapman proposed the Nearly Unbiased Estimator, which can be expressed as Nest = [(NA + 1) x (NB +1)/(Nboth +1)] -1. 13,22,23 The independence of registers and other assumptions underlying capturerecapture analysis were described previously. 17 Specific interdependencies between the three registers, causing bias in two-source capture-recapture estimates, are probable. Using SPSS statistical software (version 13.0; SPSS Inc, Chicago, IL), conventional total and stratified three-source log-linear capture-recapture analysis was employed taking possible interdependencies and heterogeneity into account, as previously described. 17 68 Region West Region South Region North Region East
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Capture-recapture Methods in Survei
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Colofon Capture-recapture methods i
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Promotiecommissie Promotor: Prof.dr
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Contents Page 1 Introduction 9 2 Me
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Chapter 1 1.1 Assessing completenes
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Chapter 1 94% among AIDS patients w
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Table 1.1 Objectives, methods, data
Page 17 and 18: Researchers Objective Method Data-s
Page 19 and 20: Chapter 1 source capture-recapture
Page 21 and 22: Chapter 1 32. Bradley BL, Kerr KM,
Page 24 and 25: 2 Methodology of capture-recapture
Page 26 and 27: Methodology of capture-recapture an
Page 36: Methodology of capture-recapture an
Page 39 and 40: Chapter 3 3.1 Application of captur
Page 41 and 42: Table 3.1 Published capture-recaptu
Page 43 and 44: Disease Authors Objective Method Da
Page 49 and 50: Chapter 3 3.3 References 1. Hook EB
Page 51 and 52: Chapter 3 52. Reintjes R, Termorshu
Page 53 and 54: Chapter 4 Abstract The aim of this
Page 55 and 56: Chapter 4 Methods Nearly all Dutch
Page 57 and 58: Chapter 4 Table 4.2 The number of m
Page 59 and 60: Chapter 4 diagnosis. Other patients
Page 61 and 62: Chapter 4 stratify the population i
Page 63 and 64: Chapter 4 25. Lambeth, Southwark an
Page 65 and 66: Chapter 5 Abstract To estimate inci
Page 67: Chapter 5 patients. Capture-recaptu
Page 71 and 72: Chapter 5 Hospital records From 385
Page 73 and 74: Chapter 5 Table 5.1 Epidemiological
Page 75 and 76: Table 5.2 Number and proportion of
Page 77 and 78: Chapter 5 cautious about the associ
Page 79 and 80: Chapter 5 Incidence of community-ac
Page 81 and 82: Chapter 6 Abstract The aim of this
Page 83 and 84: Chapter 6 3. Hospitalised patients
Page 85 and 86: Chapter 6 Record-linkage of all 537
Page 87 and 88: Chapter 6 Figure 6.1 Schematic view
Page 89 and 90: Chapter 6 Table 6.2 Total and strat
Page 91 and 92: Chapter 6 administrative discrepanc
Page 93 and 94: Chapter 6 the patients, and complet
Page 96 and 97: 7 Undetected burden of tuberculosis
Page 98 and 99: Introduction Underreporting of tube
Page 100 and 101: Underreporting of tuberculosis in t
Page 102 and 103: Table 7.1 Total and subset numbers
Page 104 and 105: Table 7.2 Capture-recapture estimat
Page 106 and 107: Underreporting of tuberculosis in t
Page 108: Underreporting of tuberculosis in t
Page 111 and 112: Chapter 8 Abstract In 1999 the Enha
Page 113 and 114: Chapter 8 bacteriological confirmat
Page 115 and 116: Chapter 8 Results Table 8.1 shows t
Page 117 and 118: Table 8.3 Annual and overall observ
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Table 8.4 Annual and overall estima
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Chapter 8 interaction however, i.e.
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Chapter 8 shows that observed under
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9 Estimating the coverage of tuberc
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Introduction Estimating targeted mo
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Estimating targeted mobile tubercul
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References Estimating targeted mobi
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10 Estimating infectious diseases i
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Introduction Estimating infectious
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Estimating infectious disease incid
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Study Disease and number of patient
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4. Gallay A, Vaillant V, Bouvet P,
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Table 10.3 Comparison of the variou
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Discussion Estimating infectious di
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Chapter 11 The aim of this thesis i
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Chapter 11 overestimation of the nu
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Chapter 11 clinicians to the Public
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Chapter 11 operation with the chest
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Chapter 11 of the proportion of fal
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Chapter 11 Question 3: What is the
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Chapter 11 11.2 Some findings of th
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Chapter 11 • To improve timelines
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Summary Summary Surveillance is an
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Summary linkage of notification and
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Samenvatting Samenvatting Surveilla
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Samenvatting subgroepen binnen de b
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Acknowledgements Acknowledgements W
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Curriculum vitae Rob van Hest was b
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Publications This thesis Van Hest N
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