Php88 How Does the Health Improvement Network (Thin) Data on Prevalence of Chronic Diseases Compare With National Figures?

Blak, BT; Thompson, Meagan

doi:10.1016/s1098-3015(10)74240-6

Cited by 13 publications

(17 citation statements)

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“…The results are expected to be representative of UK patients, as supported by the similar prevalence of diabetes observed in 2007 in the THIN database (3.5%) and the National Health Service Quality and Outcomes Framework (3.7%) [17]. The results are expected to be representative of UK patients, as supported by the similar prevalence of diabetes observed in 2007 in the THIN database (3.5%) and the National Health Service Quality and Outcomes Framework (3.7%) [17].…”

Section: Discussionsupporting

confidence: 55%

“…Patients with Type 2 diabetes were selected from the THIN database, which contains computerized, anonymized patient medical records retrieved from UK general practices and is validated against national data [16][17][18]. Included patients were ‡ 18 years, initiated insulin between 23 May 2004 and 22 May 2006, and had at least 12 months quality-controlled data [19] before insulin initiation.…”

Section: Data Source and Patientsmentioning

confidence: 99%

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A retrospective database study of insulin initiation in patients with Type 2 diabetes in UK primary care

Blak

Smith²,

Hards

et al. 2012

Diabetic Medicine

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Section: Discussionsupporting

confidence: 55%

Section: Data Source and Patientsmentioning

confidence: 99%

A retrospective database study of insulin initiation in patients with Type 2 diabetes in UK primary care

Blak

Smith²,

Hards

et al. 2012

Diabetic Medicine

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“…These hierarchical Read codes are used for clinical rather than billing purposes, and are therefore less susceptible to “rule-out” or “up-diagnosis” seen in studies using ICD-9 codes (34). Like GPRD, THIN has been found to be generalizable to the entire U.K. population (35) and to accurately report data on chronic diseases (36) and diagnoses such as cancer (37). …”

Section: Methodsmentioning

confidence: 99%

Endometrial Cancer After Endometrial Ablation vs Medical Management of Abnormal Uterine Bleeding

Dood

Gracia

Sammel

et al. 2014

Journal of Minimally Invasive Gynecology

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Study Objective To investigate whether endometrial ablation carries an increased risk or delayed diagnosis of endometrial cancer compared to medical management for abnormal uterine bleeding. Design A multi-centered retrospective cohort study comparing rates of endometrial cancer in women who underwent treatment for abnormal uterine bleeding. Design Classification Canadian Task-Force Classification II-2 Setting This study was conducted using data from The Health Improvement Network (THIN), a representative population-based cohort of patients in 495 outpatient General Practitioner practices in the UK. Participants Women >25 years of age with an abnormal uterine bleeding diagnosis between June 1994 and September 2010. Interventions Endometrial ablation, medical management, or both. Measurements and Main Results A total of 234,721 women met study inclusion and exclusion criteria, 4,776 of whom underwent endometrial ablation and the remaining 229,945 underwent medical management. Cox models compared endometrial cancer rates between ablation and medical management groups using hazard ratios (HRs). To investigate a possible diagnostic delay, the median time from bleeding diagnosis to endometrial cancer diagnosis among women who developed endometrial cancer was compared using the Mann-Whitney U test. All statistical tests were two-tailed with α=.05. Over a median observation time of 4.07 years (IQR, 1.88-7.17), three and 601 women developed endometrial cancer in the ablation and medical management groups, respectively (ablation HR, 0.45; 95% CI, 0.15-1.40; p=.17). Median time to diagnosis was 237 and 299 days (ablation IQR, 155-1350; medical management IQR, 144-1,133.5; p=.99) in the ablation and medical management groups, respectively. Adjusted and sensitivity analyses did not change the results. Conclusions No difference was seen in endometrial cancer rates, nor was there a delay in diagnosis when comparing endometrial ablation versus medical management. Further studies are needed to investigate the impact of prior ablation exposure on histology or cancer stage at presentation of endometrial cancer.

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“…Health information is recorded on-site at each practice using a computerised system with quality control procedures to maintain high data completion rates and accuracy. Thus, THIN data represent routine medical practices in a population-based setting 22. The validity of THIN for pharmacoepidemiological research has been demonstrated,23 and the database has been successfully used for important epidemiologic and clinical studies (http://csdmruk.cegedim.com/THINBibliography.pdf), including those for rheumatic conditions 24–26…”

Section: Methodsmentioning

confidence: 99%

The risk of pulmonary embolism and deep vein thrombosis in rheumatoid arthritis: a UK population-based outpatient cohort study

et al. 2012

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Php88 How Does the Health Improvement Network (Thin) Data on Prevalence of Chronic Diseases Compare With National Figures?

Cited by 13 publications

References 0 publications

A retrospective database study of insulin initiation in patients with Type 2 diabetes in UK primary care

A retrospective database study of insulin initiation in patients with Type 2 diabetes in UK primary care

Endometrial Cancer After Endometrial Ablation vs Medical Management of Abnormal Uterine Bleeding

The risk of pulmonary embolism and deep vein thrombosis in rheumatoid arthritis: a UK population-based outpatient cohort study

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