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Journal Abstract Search

97 related items for PubMed ID: 15606987

  • 1. Problems with primary care data quality: osteoporosis as an exemplar.
    de Lusignan S, Valentin T, Chan T, Hague N, Wood O, van Vlymen J, Dhoul N.
    Inform Prim Care; 2004; 12(3):147-56. PubMed ID: 15606987
    [Abstract] [Full Text] [Related]

  • 2. Quality and variability of osteoporosis data in general practice computer records: implications for disease registers.
    de Lusignan S, Chan T, Wood O, Hague N, Valentin T, Van Vlymen J.
    Public Health; 2005 Sep; 119(9):771-80. PubMed ID: 15893348
    [Abstract] [Full Text] [Related]

  • 3. Can patients with osteoporosis, who should benefit from implementation of the national service framework for older people, be identified from general practice computer records? A pilot study that illustrates the variability of computerized medical records and problems with searching them.
    de Lusignan S, Chan T, Wells S, Cooper A, Harvey M, Brew S, Wright M.
    Public Health; 2003 Nov; 117(6):438-45. PubMed ID: 14522160
    [Abstract] [Full Text] [Related]

  • 4. Use of Read codes in diabetes management in a south London primary care group: implications for establishing disease registers.
    Gray J, Orr D, Majeed A.
    BMJ; 2003 May 24; 326(7399):1130. PubMed ID: 12763987
    [Abstract] [Full Text] [Related]

  • 5. Using computers to identify non-compliant people at increased risk of osteoporotic fractures in general practice: a cross-sectional study.
    de Lusignan S, van Vlymen J, Hague N, Dhoul N.
    Osteoporos Int; 2006 Dec 24; 17(12):1808-14. PubMed ID: 16932873
    [Abstract] [Full Text] [Related]

  • 6. An eight-step method for assessing diagnostic data quality in practice: chronic obstructive pulmonary disease as an exemplar.
    Faulconer ER, de Lusignan S.
    Inform Prim Care; 2004 Dec 24; 12(4):243-54. PubMed ID: 15808026
    [Abstract] [Full Text] [Related]

  • 7. Applying preventable drug-related morbidity indicators to the electronic patient record in UK primary care: methodological development.
    Hammersley VS, Morris CJ, Rodgers S, Cantrill JA, Avery AJ.
    J Clin Pharm Ther; 2006 Jun 24; 31(3):223-9. PubMed ID: 16789987
    [Abstract] [Full Text] [Related]

  • 8. The validity of searching routinely collected general practice computer data to identify patients with chronic kidney disease (CKD): a manual review of 500 medical records.
    Anandarajah S, Tai T, de Lusignan S, Stevens P, O'Donoghue D, Walker M, Hilton S.
    Nephrol Dial Transplant; 2005 Oct 24; 20(10):2089-96. PubMed ID: 16030033
    [Abstract] [Full Text] [Related]

  • 9. Randomised crossover trial comparing the performance of Clinical Terms Version 3 and Read Codes 5 byte set coding schemes in general practice.
    Brown PJ, Warmington V, Laurence M, Prevost AT.
    BMJ; 2003 May 24; 326(7399):1127. PubMed ID: 12763986
    [Abstract] [Full Text] [Related]

  • 10. Creating a general practice national minimum data set: present possibility or future plan?
    Tilyard MW, Munro N, Walker SA, Dovey SM.
    N Z Med J; 1998 Aug 28; 111(1072):317-8, 320. PubMed ID: 9765630
    [Abstract] [Full Text] [Related]

  • 11. Generating information from electronic patient records in general practice: a description of clinical care and gender inequalities in coronary heart disease using data from over two million patient records.
    Horsfield P, Teasdale S.
    Inform Prim Care; 2003 Aug 28; 11(3):137-44. PubMed ID: 14680536
    [Abstract] [Full Text] [Related]

  • 12. Ethnicity recording in general practice computer systems.
    Kumarapeli P, Stepaniuk R, de Lusignan S, Williams R, Rowlands G.
    J Public Health (Oxf); 2006 Sep 28; 28(3):283-7. PubMed ID: 16840765
    [Abstract] [Full Text] [Related]

  • 13. The quality of record keeping in primary care: a comparison of computerised, paper and hybrid systems.
    Hamilton WT, Round AP, Sharp D, Peters TJ.
    Br J Gen Pract; 2003 Dec 28; 53(497):929-33; discussion 933. PubMed ID: 14960216
    [Abstract] [Full Text] [Related]

  • 14. Osteoporosis prevention, diagnosis, and therapy.
    NIH Consens Statement; 2003 Dec 28; 17(1):1-45. PubMed ID: 11525451
    [Abstract] [Full Text] [Related]

  • 15. Morbidity registration and the fourth general practice morbidity survey in England and Wales.
    Fleming DM.
    Scand J Prim Health Care Suppl; 1993 Dec 28; 2():37-41. PubMed ID: 8146469
    [Abstract] [Full Text] [Related]

  • 16. Real world data--retrieval and validation of consultation data from four general practices.
    Neal RD, Heywood PL, Morley S.
    Fam Pract; 1996 Oct 28; 13(5):455-61. PubMed ID: 8902515
    [Abstract] [Full Text] [Related]

  • 17. An educational intervention to improve data recording in the management of ischaemic heart disease in primary care.
    de Lusignan S, Hague N, Brown A, Majeed A.
    J Public Health (Oxf); 2004 Mar 28; 26(1):34-7. PubMed ID: 15044571
    [Abstract] [Full Text] [Related]

  • 18. Validation of information recorded on general practitioner based computerised data resource in the United Kingdom.
    Jick H, Jick SS, Derby LE.
    BMJ; 1991 Mar 30; 302(6779):766-8. PubMed ID: 2021768
    [Abstract] [Full Text] [Related]

  • 19. The relationship among history of falls, osteoporosis, and fractures in postmenopausal women.
    Geusens P, Autier P, Boonen S, Vanhoof J, Declerck K, Raus J.
    Arch Phys Med Rehabil; 2002 Jul 30; 83(7):903-6. PubMed ID: 12098147
    [Abstract] [Full Text] [Related]

  • 20. Quality of morbidity coding in general practice computerized medical records: a systematic review.
    Jordan K, Porcheret M, Croft P.
    Fam Pract; 2004 Aug 30; 21(4):396-412. PubMed ID: 15249528
    [Abstract] [Full Text] [Related]

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