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2,106 publications · Page 92 / 106
  1. Value in Health · Nov 2010

    Has the Quality and Outcomes Framework Influenced Primary Care Data Recording?

    Blak BT, Lee J, Hards M & Sedani T

    THIN Abstract
  2. Value in Health · Nov 2010

    How do THIN Death Data Compare to National Figures for each UK Country?

    Blak BT, Hards & Lee J

    THIN Abstract
  3. Atencion Primaria · Nov 2010

    Incidence rate of community acquired pneumonia in a population cohort registered in BIFAP

    Chacón García A, Ruigómez A & García Rodríguez LA

    THIN Article Respiratory

    OBJECTIVE: To estimate the incidence rate (IR) of community acquired pneumonia (CAP) using the information in the Primary Healthcare database in Spain. DESIGN: Retrospective study (2003-2007) using the information registered in the Database for Pharmaco-Epidemiological Research in Primary Care (BIFAP). STUDY POPULATION: Subjects aged 20 to 79 years old, were followed up until the occurrence of a pneumonia episode, death, age of 80, or the end of the study, whichever came first. CASE SELECTION: A computerised search was performed to detect suggestive cases of pneumonia using ICPC codes (International Classification of Primary Care) and free text. The computerised histories were manually reviewed in order to identify those cases fulfilling the CAP's determined definition. ANALYSE: IR of pneumonia was computed by age, sex and season. The percentage of hospitalisation was estimated. These results were compared with the IR from the United Kingdom using THIN database (The Health Improvement Network). RESULTS: IR of CAP was 2.69 per 1000 persons-year (IR women=2.29; IR men=3.16) with BIFAP database, and 32 % of the CAP cases were hospitalised. In United Kingdom, IR was 1.07 per 1000 persons-year (IR women=0.93; IR men=1.22) and 17% of CAP were hospitalised. CONCLUSION: The BIFAP computerised Primary Care database is useful to estimate the incidence rate of CAP in Spain, as well as to compare the results with those obtained using other European computerised Primary Care databases.

  4. Archives of Pediatrics & Adolescent Medicine · Nov 2010

    Incidence of maternal and paternal depression in primary care: a cohort study using a primary care database

    Davé S, Petersen I, Sherr L & Nazareth I

    THIN Article Mental Health & Behaviour

    OBJECTIVE: To examine incidence, trends, and correlates of parental depression in primary care from 0 to 12 years of child age. DESIGN: Prospective cohort study. SETTING: Primary care records from more than 350 general practices in The Health Improvement Network database from 1993 to 2007. PARTICIPANTS: A total of 86 957 mother, father, and child triads identified in The Health Improvement Network database by linking mothers and babies and then identifying an adult household man. Depressed parents were identified using Read code entries for depression and antidepressant prescriptions. MAIN EXPOSURES: Child age, parental age at the birth, and area deprivation quintile. MAIN OUTCOME MEASURES: Incidence rates for maternal and paternal episodes of depression. RESULTS: Overall incidences of depression from the birth of the child up to age 12 years were 7.53 per 100 person-years for mothers and 2.69 per 100 person-years for fathers. Depression was highest in the first year post partum (13.93 and 3.56 per 100 person-years among mothers and fathers, respectively). By 12 years of child age, 39% of mothers and 21% of fathers had experienced an episode of depression. A history of depression, lower parental age at the birth of the child, and higher social deprivation were associated with a higher incidence of parental depression. CONCLUSIONS: Parents are at highest risk for depression in the first year after the birth of their child. Parents with a history of depression, younger parents, and those from deprived areas are particularly vulnerable to depression. There is a need for appropriate recognition and management of parental depression in primary care.

  5. British Journal of Dermatology · Nov 2010

    Incidence of cancer in the general population and in patients with or without atopic dermatitis in the U.K

    Arana A, Wentworth CE, Fernández-Vidaurre C, Schlienger RG, Conde E & Arellano FM

    THIN Article DermatologyOncology

    BACKGROUND: Atopic dermatitis (AD) affects approximately 20% of children and 1-3% of adults in developed countries. OBJECTIVE: To study the incidence of cancer in patients with AD in the U.K. general population. METHODS: We conducted a follow-up study in the U.K. using The Health Improvement Network (THIN) database. We calculated the incidence rate (IR) of the first occurrence of overall cancer, lymphoma, melanoma and nonmelanoma skin cancer (NMSC) in the general population, in patients with AD and in individuals without AD. In addition we calculated the IR ratio (IRR) of overall cancer and subtypes of cancer in patients with AD vs. those without. RESULTS: The study population included 4,518,131 patients [2,336,230 (51·7%) female]. There were 129,972 subjects [68,688 (52·8%) female] with a diagnosis of cancer (excluding NMSC). The IR (per 10,000 person-years) of cancer (excluding NMSC) was 42·41 [95% confidence interval (CI) 42·18-42·64]; of lymphoma 1·70 (95% CI 1·65-1·74); of skin melanoma 1·71 (95% CI 1·67-1·76) and of NMSC 11·76 (95% CI 11·64-11·88). The age- and sex-adjusted IRR for cancer (excluding NMSC) was 1·49 (95% CI 1·39-1·61); for lymphoma 2·21 (95% CI 1·65-2·98); for melanoma 1·74 (95% CI 1·25-2·41); and for NMSC 1·46 (95% CI 1·27-1·69). CONCLUSIONS: Our results indicate an increased incidence of cancer overall as well as of specific cancer subtypes, including lymphoma, in patients with AD. Further studies are needed to disentangle the effects of treatment for AD from AD itself.

  6. BMJ · Nov 2010

    Explaining variation in referral from primary to secondary care: cohort study

    McBride D, Hardoon S, Walters K, Gilmour S & Raine R

    THIN Article

    OBJECTIVES: To determine the extent to which referral for defined symptoms from primary care varies by age, sex, and social deprivation and whether any sociodemographic variations in referral differ according to the presence of national referral guidance and the potential of the symptoms to be life threatening. DESIGN: Cohort study using individual patient data from the health improvement network database in primary care. SETTING: United Kingdom. PARTICIPANTS: 5492 patients with postmenopausal bleeding, 23 121 with hip pain, and 101 212 with dyspepsia from 326 general practices, 2001-7. MAIN OUTCOME MEASURES: Multivariable associations between odds of immediate referral for postmenopausal bleeding and age and social deprivation; hazard rates of referral for hip pain or dyspepsia and age, sex, and social deprivation. Analyses for dyspepsia were stratified for people aged less than and more than 55 years because referral guidance differs by age. RESULTS: 61.4% (3374/5492) of patients with postmenopausal bleeding, 17.4% (4019/23 121) with hip pain, and 13.8% (13 944/101 212) with dyspepsia were referred. The likelihood of referral for postmenopausal bleeding declined with increasing age: the adjusted odds ratio for patients aged 85 or more compared with those aged 55-64 was 0.39 (95% confidence interval 0.31 to 0.49). Patients aged 85 or more with hip pain were also less likely to be referred than those aged 55-64 (0.68, 0.57 to 0.81). Women were less likely than men to be referred for hip pain (hazard ratio 0.90, 95% confidence interval 0.84 to 0.96). More deprived patients with hip pain or dyspepsia (if aged <55) were less likely to be referred. Adjusted hazard ratios for those in the most deprived Townsend fifth compared with the least deprived were 0.72 (95% confidence interval 0.62 to 0.82) and 0.76 (0.68 to 0.85), respectively. No socioeconomic gradient was evident in referral for postmenopausal bleeding. CONCLUSIONS: Inequalities in referral associated with socioeconomic circumstances were more likely to occur in the absence of both explicit guidance and potentially life threatening conditions, whereas inequalities with age were evident for all conditions.

  7. QJM · Nov 2010

    Cardiovascular and metabolic risk profiles in young and old patients with type 2 diabetes

    Gunathilake W, Song S, Sridharan S, Fernando DJ & Idris I

    THIN Article CardiovascularEndocrinology / Metabolism

    BACKGROUND: Young patients (aged < 40 years) with type 2 diabetes (T2D) have a high lifetime risk of developing cardiovascular disease (CVD). However, little is known about the CVD risk profile of this cohort in the UK primary care setting. AIM: To determine CVD risk profile of young patients with T2D without CVD compared to older (aged >40 years) subjects. DESIGN: A cross-sectional study using The Health Improvement Network (THIN) database, which contains anonymized patient information from more than 300 general practices throughout England and Wales. METHODS: T2D subjects above the age of 18 years without previous CVD and not on lipid or blood pressure lowering therapy were randomly selected. Data on glycaemic control and CVD risk factors [weight, body mass index (BMI), lipid profile] were collected. RESULTS: A total of 49,919 patients with T2D were identified, of whom 2756 (0.5%) and 47,163 (99.5%) were aged below and above 40 years, respectively. Despite being at least 30 years younger (mean age: early vs. later onset; 33.8 vs. 66.9 years, P < 0.001), the proportions of adverse CVD risk profiles for young patients were similar to the older cohort with T2D. For young vs. old patients: the prevalence of BMI >25: 84.4% vs. 85.3%, P = 0.77; total cholesterol >4 mmol/l: 53.4% vs. 53.8%, P = 0.76; systolic hypertension: 58.2 vs. 58.4%, P = 0.36 and diastolic hypertension: 28.1 vs. 28.5%, P = 0.73). Glycaemic controls were similarly suboptimal between the two groups (mean HbA1c: young vs. old; 7.6% vs. 7.5%, P = 0.49). The prevalence of risk factor clustering were also similar between young vs. old patients with T2D. DISCUSSION: Young T2D subjects possess risk factors that confer high lifetime risk for macrovascular complications, and therefore merits aggressive cardioprotective treatment.

  8. International Journal of Clinical Practice · Nov 2010

    A comparison of intermediate and long-acting insulins in people with type 2 diabetes starting insulin: an observational database study

    Gordon J, Pockett RD, Tetlow AP, McEwan P & Home PD

    THIN Article Endocrinology / Metabolism

    AIMS: Insulin is normally added to oral glucose-lowering drugs in people with type 2 diabetes when glycaemic control becomes suboptimal. We evaluated outcomes in people starting insulin therapy with neutral protamine Hagedorn (NPH), detemir, glargine or premixed insulins. METHODS: Insulin-naïve people with type 2 diabetes (n = 8009), ≥ 35 years old, HbA(1c) ≥ 6.5% and begun on NPH (n = 1463), detemir (n = 357), glargine (n = 2197) or premix (n = 3992), were identified from a UK database of primary care records (The Health Improvement Network). Unadjusted and multivariate-adjusted analyses were conducted, with persistence of insulin therapy assessed by survival analysis. RESULTS: In the study population (n = 4337), baseline HbA(1c) was 9.5 ± 1.6%, falling to 8.4 ± 1.5% over 12 months (change -1.1 ± 1.8%, p < 0.001). Compared with NPH, people taking detemir, glargine and premix had an adjusted reduction in HbA(1c) from baseline, of 0.00% (p = 0.99), 0.19% (p < 0.001) and 0.03% (p = 0.51). Body weight increased by 2.8 kg overall (p < 0.001), and by 2.3, 1.7, 1.9, and 3.3 kg on NPH, detemir, glargine and premix (p < 0.001 for all groups); insulin dose at 12 months was 0.70 (overall), 0.64, 0.61, 0.56 and 0.76 U/kg/day. After 36 months, 57% of people on NPH, 67% on glargine and 83% on premix remained on their initially prescribed insulin. DISCUSSION AND CONCLUSION: In routine clinical practice, people with type 2 diabetes commenced on NPH experienced a modest disadvantage in glycaemic control after 12 months compared with other insulins. When comparing the insulins, glargine achieved best HbA(1c) reduction, while premix showed greatest weight gain and the highest dose requirement, but had the best persistence of therapy.

  9. Pharmacoepidemiology and Drug Safety · Aug 2010

    Heterogeneity in Drug Utilization in Three European Countries: A Study of Dopamine Agonists

    Luise C, Trifiro G, Mokhles M, Dieleman J, Soest E, Mazzaglia G, Herings R, Ross D & Sturkenboom M

    THIN Abstract
  10. Pharmacoepidemiology and Drug Safety · Aug 2010

    Characteristics of Patients Receiving Varenicline Treatment for Smoking Cessation in UK Primary Care–A THIN Database Study

    Blak B T, Wilson K, Metcalfe M, Hards M, Maguire A & Gimeno V

    THIN Abstract Respiratory
  11. Pharmacoepidemiology and Drug Safety · Aug 2010

    Comparison of Prescribing Patterns for Asthma in Five European Countries

    Laforest L, Schwalm MS, Dufour M, Broquet M, Bourke A & Van Ganse E

    THIN Abstract Respiratory
  12. Pharmacoepidemiology and Drug Safety · Aug 2010

    Descriptive analysis of antipsychotic prescriptions in primary care

    Prah P, Petersen I, Nazareth I, Walters K & Osborn D

    THIN Abstract Mental Health & Behaviour
  13. Pharmacoepidemiology and Drug Safety · Aug 2010

    Frequency and Risk Factors of Gout Flares in a Large Population-Based Cohort of Incident Gout

    Rothenbacher D, Primatesta P, Ferreira A, Cea Soriano L & Garcia Rodriguez LA

    THIN Abstract Musculoskeletal & Connective TissueRespiratory
  14. Pharmacoepidemiology and Drug Safety · Aug 2010

    Incidence of Diabetic Retinopathy and Diabetic Macular Edema in Newly Diagnosed Type 1 and Type 2 Diabetic Patients

    Martin-Merino E, Fortuny J, Plana E, Rivero E & Garcia-Rodriguez L

    THIN Abstract Endocrinology / MetabolismOphthalmology
  15. Pharmacoepidemiology and Drug Safety · Aug 2010

    Incidence of Epilepsy and Anti-Epileptic Drug (AED) Prescribing in Children in the UK

    Meeraus WH, Gilbert R, Chin RF & Petersen I

    THIN Abstract Nervous System
  16. Pharmacoepidemiology and Drug Safety · Aug 2010

    Incidence rates of edema in solid tumor cancer patients in the THIN Database

    Gastanaga V, Wentworth C, Ganesh V, Hughes G, Xue F, Verma M, Dimery I & Zhao S

    THIN Abstract Oncology
  17. Pharmacoepidemiology and Drug Safety · Aug 2010

    Incidence Rates of Retinal Artery Thrombosis in Solid Tumor Cancer Patients in the THIN Database

    Gastanaga V, Wentworth C, Hughes G, Xue F, Ganesh V, Verma M, Dimery I & Zhao S

    THIN Abstract OncologyOphthalmology
  18. Pharmacoepidemiology and Drug Safety · Aug 2010

    Lessons Learned from Mapping the THIN Database to the Observational Medical Outcome Partnership (OMOP) Common Data Model (CDM)

    Zhou X, Murugesan S, Wentworth C, Bhullar H & Bate A

    THIN Abstract
  19. Pharmacoepidemiology and Drug Safety · Aug 2010

    Missing data in primary care databases; problems and a possible solution

    Marston L, Carpenter J, Walters K, Morris R, Nazareth I & Petersen I

    THIN Abstract
  20. Pharmacoepidemiology and Drug Safety · Aug 2010

    Oral Antibiotic Prescribing in Pregnancy in United Kingdom

    Petersen I, Gilbert R, Rudolfi A, Evans S & Nazareth I

    THIN Abstract Gynecology & UrologyInfectiology

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