The Scottish electronic diabetes register and cancer registry and their linkage
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Transcript of The Scottish electronic diabetes register and cancer registry and their linkage
The Scottish electronic diabetes register and cancer registry and their linkage
Sarah Wild, University of Edinburgh
Thanks to David Brewster, Director of the Scottish Cancer Registry
June 2010
Background - Scotland
• Population approximately 5.1 million people, 14 Health Boards
• Health data identified using Community Health Index which is used for routine linkage of hospital admissions, cancer registrations and mortality records
• Prescribing data available from primary care records – encashment data from pharmacies available soon
Background – diabetes register
• Scottish Care Information – Diabetes Collaboration (SCI-DC) is an electronic population-based diabetes register populated by daily downloads from primary and secondary care systems, including prescribing
• Data collection started in Tayside and Lanarkshire with national data collected from 2000 onwards
• Core data set includes demographic and relevant clinical data – completeness >95% (except ethnicity)
• Access for research through Scottish Diabetes Research Network (SDRN) epidemiology group
Number of people included in the Scottish electronic diabetes register
Source: Scottish Diabetes Survey 2009
2008 data extract
Data available for approx 270,000 people
Based on people with data on age, sex and SIMD recorded on SCI-DC who were alive in April 2008 (approx. 204,000 of 209,000) there were:
• 26,242 people with T1DM (crude prevalence 0.51%)
• 177,783 people with T2DM (crude prevalence 3.46%)
GROS 2008 population estimates used for denominator
Validation of recorded type 1 diabetes and prevalence
Ratio of observed prevalence to expected prevalence of type 1 diabetes estimated from Tayside age-sex prevalence applied to other Health Boards' population data
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
1.80
Health Board of Residence
Ra
tio
of
Ob
se
rve
d t
o E
xp
ec
ted
Pre
va
len
ce
Type I
Age and sex standardised prevalence of type 2 diabetes by Scottish Index of
Multiple Deprivation quintile
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
1 (leastdeprived)
2 3 4 5 (mostdeprived)
SIMD quintile
Ag
e-s
ex
sta
nd
ard
ise
d
pre
va
len
ce
%
Background – cancer registry
• Cancer data collected since 1958 with full dataset including stage, (for breast, colorectal and cervical cancer) and information on treatment for all patients collected from 1997
• Approx. 40,000 registrations/ year • Total of over 1,200,000 records• Data quality monitored using routine indicators,
computer validation, data exchange with specialist tumour registries and ad hoc studies of data accuracy and completeness of ascertainment.
Collection of Scottish Cancer Registry data
• Electronic capture and reformatting of ‘raw’ data• Probability matching to related incoming
records and to previous registrations• Application of multiple primary rules and rules to
deal with metastatic disease• Creation of ‘best guess’ provisional registrations• Completion and validation by staff based in
hospitals using medical records at least 6 months after date of diagnosis
Source data
• Hospital discharge records• Radiotherapy, oncology, haematology• Pathology records (8 different lab systems)• Mortality records• Cancer audit data (not for all cancers)• Other, eg paper records from private hospitals• Deaths from General Register Office for
Scotland
Invasive cancer of the cervix uteri in Scotland Age-standardised incidence and mortality rates per
100,000 person-years at risk by SIMD 2006 category
0
2
4
6
8
10
12
14
16
1 (Least deprived) 2 3 4 5 (Most deprived)
Deprivation quintile
Rat
e p
er 1
00,0
00
Incidence
Mortality
Oesophageal adenocarcinoma in UK women: results of a case-control study
Source: Cheng et al. Br J Cancer 2000; 83: 127-32
Variable Adjusted OR (95% CIs) P for trend
BMI at age 20
Q1 <19.49
Q2 19.49-20.95
Q3 20.96-22.66
Q4 >22.67
1
0.86 (0.17-4.32)
4.90 (0.86-28.02)
6.04 (1.28-28.52) 0.002
Total fruit consumption (per week)
Q1 <12.00
Q2 12.01-18.04
Q3 18.05-25.72
Q4 >25.73
1
0.42 (0.09-2.03)
0.37 (0.05-2.59)
0.08 (0.01-0.49) 0.002
Breastfeeding
No children
Had children but never breast fed
Up to 6 months
>6 months
1
0.66 (0.06-6.88)
0.30 (0.04-2.30)
0.13 (0.01-1.40) 0.005
Factors influencing population-based survival data
Data quality factors Tumour-related factors
Completeness of ascertainment Extent of diseaseAccuracy of registration Site (and subsite) of tumourCompleteness of follow-up Morphology‘Death certificate only’ registrations Tumour biology
Host factors Health care-related factors
Age ScreeningSex Diagnostic facilitiesRace/Ethnicity Treatment facilitiesCo-morbidity Quality of treatmentSocio-economic status Follow-up careBehaviour (including awareness of cancer symptoms and compliance with treatment)
Linkage pilot (2005 data, 2 Health Boards): validation of diabetes
recording• 47% of 82,958 hospital records after a
diagnosis of diabetes include a mention of diabetes (71% of SMR01 records for MI after diagnosis of diabetes)
Of the 4,777 death certificates, 9.6% gave diabetes as the underlying cause of death and a further 39% mentioned diabetes as a contributory cause
Background to linkage project • The Scottish Government Health Department
funded the linkage of 2008 SCI-DC data to cancer (2007) and hospital admission/mortality (2008) data.
• Ethical and Caldicott guardian approval obtained
• Early work based on improving quality of data on date of diagnosis, type of diabetes, prescribing data, glargine & cancer
• Further linkages to renal register, maternity records, hepatitis C register
Characteristics by treatment group
Characteristic Data presented asNon-glargine
insulinNon-glargine plus
glargine insulinInsulin
glargine only p valuea
Subjects % (n) 92.7 (18,455) 5.2 (1,033) 2.1 (411)Sex, % women % (n) 48.8 (8,996) 48.5 (501) 52.6 (216) 0.13Age, years median (LQ, UQ) 65 (56,72) 57 (49, 66) 69 (59,77) <0.0001
BMI, kg / m2 mean (SD) 30.4 (6.1) 27.9 (5.7) 30.1 (6.2) <0.0001Systolic BP, mmHg mean (SD) 139.3 .2(22) 136.1 (19.5) 140.5(20.5) 0.19Diastolic BP, mmHg mean (SD) 76 (12) 77 (12) 77(13) 0.006HbA1c, % mean (SD) 8.5 (1.7) 9.0 (1.7) 9.3 (1.8) <0.0001Duration of diabetes 5 years % (n) 83.2 (15,360) 76.8 (793) 75.2 (309) <0.0001Prior Insulin 5years on insulin % (n) 37.2 (6,867) 47.1 (487) 4.6 (19) <0.0001Age at diagnosis, years median 53 46 59 <0.0001Prior cancer Ever % (n) 7.4 (1,357) 5.0 (52) 9.3 (38) 0.59 5 years ago % (n) 3.6 (664) 2.7 (28) 5.6 (23) 0.35Any CVD % (n) 18.6 (3,441) 12.1 (125) 22.1 (91) 0.016Ever smoked % (n) 29.9 (4,335) 28.4 (247) 24.8 (77) 0.001Use of oral glucose-lowering drugs at baselineb % (n) 28.9(4559) 23.4 (169) 80.0 (295) <0.0001On three or more oral glucose-lowering drugs at baseline % (n) 4.0 (745) 3.1 (32) 29.4 (121) <0.0001In the two most deprived SIMD quintiles % (n) 47.1 (8,686) 35.4 (366) 54.0 (222) <0.0001
aModel 1 adjusts for prior cancer, type of diabetes and calendar year, and is stratified by sex ; timescale is agebModel 2 further adjusts for baseline metformin, sulfonylurea and other oral hypoglycaemic drugs at baselinecModel 3 further adjusts for diabetes duration, HbA1c, diastolic BP, systolic BP and deprivation quintiledModel 4 further adjusts for smoking ever and BMI, but note the reduction in available sample size
Risk of cancer by treatment group
Cancer registrations and deaths in 2008 Scottish diabetes linked data
Year Registrations Deaths
2001 2535 845
2002 2693 1033
2003 2818 1240
2004 3041 1313
2005 3029 1465
2006 3155 1585
2007 3151 1703Only includes first registration of each cancer in an individual person. IncludesICD-9 codes 140-239 EXCEPT 173; ICD-10 codes C00-C97 EXCEPT C44
Distribution of cancer registrations by type/date of diagnosis of diabetes
Type1 Type 2
Cancer prior to
diagnosis of DM
469 12065
Cancer after
diagnosis of DM
1516 19113
Date diagnosis of DM unknown
50 730
Number of site specific cancers following diagnosis of DM
Type 1 Type 2
Colo-rectal 204 3360
Lung 192 3078
Breast 221 2292
Prostate 92 2092
Pancreas 86 812
Endometrial 38 689
Liver 48 565
Acknowledgements
• SCI-DC data are available for analysis by members of the Scottish Diabetes Research Network thanks to the hard work of numerous NHS staff who enter the data and people and organisations (the Scottish Care Information –Diabetes Collaboration [SCI-DC] Steering Group, the Scottish Diabetes Group, the Scottish Diabetes Survey Group, the managed clinical networks managers and staff in each Health Board) involved in setting up, maintaining and overseeing SCI-DC .
• Financial support for the work was provided by the Scottish Government and the Wellcome Trust through the Scottish Health Informatics Programme